[INFO] cloning repository https://github.com/mschwaig/tflite-rs-not-building
[INFO] running `Command { std: "git" "-c" "credential.helper=" "-c" "credential.helper=/workspace/cargo-home/bin/git-credential-null" "clone" "--bare" "https://github.com/mschwaig/tflite-rs-not-building" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2Fmschwaig%2Ftflite-rs-not-building", kill_on_drop: false }`
[INFO] [stderr] Cloning into bare repository '/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2Fmschwaig%2Ftflite-rs-not-building'...
[INFO] running `Command { std: "git" "rev-parse" "HEAD", kill_on_drop: false }`
[INFO] [stdout] 4fea674813224d8a91cfa0fa3c4c941f4bf63f75
[INFO] testing mschwaig/tflite-rs-not-building against 1.54.0 for beta-1.55-1
[INFO] running `Command { std: "git" "clone" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2Fmschwaig%2Ftflite-rs-not-building" "/workspace/builds/worker-8/source", kill_on_drop: false }`
[INFO] [stderr] Cloning into '/workspace/builds/worker-8/source'...
[INFO] [stderr] done.
[INFO] validating manifest of git repo https://github.com/mschwaig/tflite-rs-not-building on toolchain 1.54.0
[INFO] running `Command { std: "/workspace/cargo-home/bin/cargo" "+1.54.0" "metadata" "--manifest-path" "Cargo.toml" "--no-deps", kill_on_drop: false }`
[INFO] started tweaking git repo https://github.com/mschwaig/tflite-rs-not-building
[INFO] finished tweaking git repo https://github.com/mschwaig/tflite-rs-not-building
[INFO] tweaked toml for git repo https://github.com/mschwaig/tflite-rs-not-building written to /workspace/builds/worker-8/source/Cargo.toml
[INFO] crate git repo https://github.com/mschwaig/tflite-rs-not-building already has a lockfile, it will not be regenerated
[INFO] running `Command { std: "/workspace/cargo-home/bin/cargo" "+1.54.0" "fetch" "--manifest-path" "Cargo.toml", kill_on_drop: false }`
[INFO] [stderr]     Blocking waiting for file lock on package cache
[INFO] [stderr]     Blocking waiting for file lock on package cache
[INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-8/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-8/source:/opt/rustwide/workdir:ro,Z" "-v" "/var/lib/crater-agent-workspace/cargo-home:/opt/rustwide/cargo-home:ro,Z" "-v" "/var/lib/crater-agent-workspace/rustup-home:/opt/rustwide/rustup-home:ro,Z" "-e" "SOURCE_DIR=/opt/rustwide/workdir" "-e" "CARGO_TARGET_DIR=/opt/rustwide/target" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-w" "/opt/rustwide/workdir" "-m" "1610612736" "--user" "0:0" "--network" "none" "ghcr.io/rust-lang/crates-build-env/linux@sha256:34b6a614d2c27851fe6cbf88fbd1137609cefab8b10d0615aaeb6fd47975d74e" "/opt/rustwide/cargo-home/bin/cargo" "+1.54.0" "metadata" "--no-deps" "--format-version=1", kill_on_drop: false }`
[INFO] [stdout] 5750a1a6e32ff4824f40fdd7137e6f6ab7875dadc4518efadbbe409b2f064375
[INFO] running `Command { std: "docker" "start" "-a" "5750a1a6e32ff4824f40fdd7137e6f6ab7875dadc4518efadbbe409b2f064375", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "inspect" "5750a1a6e32ff4824f40fdd7137e6f6ab7875dadc4518efadbbe409b2f064375", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "5750a1a6e32ff4824f40fdd7137e6f6ab7875dadc4518efadbbe409b2f064375", kill_on_drop: false }`
[INFO] [stdout] 5750a1a6e32ff4824f40fdd7137e6f6ab7875dadc4518efadbbe409b2f064375
[INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-8/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-8/source:/opt/rustwide/workdir:ro,Z" "-v" "/var/lib/crater-agent-workspace/cargo-home:/opt/rustwide/cargo-home:ro,Z" "-v" "/var/lib/crater-agent-workspace/rustup-home:/opt/rustwide/rustup-home:ro,Z" "-e" "SOURCE_DIR=/opt/rustwide/workdir" "-e" "CARGO_TARGET_DIR=/opt/rustwide/target" "-e" "CARGO_INCREMENTAL=0" "-e" "RUST_BACKTRACE=full" "-e" "RUSTFLAGS=--cap-lints=warn" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-w" "/opt/rustwide/workdir" "-m" "1610612736" "--user" "0:0" "--network" "none" "ghcr.io/rust-lang/crates-build-env/linux@sha256:34b6a614d2c27851fe6cbf88fbd1137609cefab8b10d0615aaeb6fd47975d74e" "/opt/rustwide/cargo-home/bin/cargo" "+1.54.0" "build" "--frozen" "--message-format=json", kill_on_drop: false }`
[INFO] [stdout] bfd1f1180235d2a0012bcb773f03b7ab772d1f9704c4ebd8786ec0aeb49cef67
[INFO] running `Command { std: "docker" "start" "-a" "bfd1f1180235d2a0012bcb773f03b7ab772d1f9704c4ebd8786ec0aeb49cef67", kill_on_drop: false }`
[INFO] [stderr]    Compiling proc-macro2 v1.0.26
[INFO] [stderr]    Compiling memchr v2.4.0
[INFO] [stderr]    Compiling unicode-xid v0.2.2
[INFO] [stderr]    Compiling libc v0.2.94
[INFO] [stderr]    Compiling syn v1.0.72
[INFO] [stderr]    Compiling version_check v0.9.3
[INFO] [stderr]    Compiling lazy_static v1.4.0
[INFO] [stderr]    Compiling glob v0.3.0
[INFO] [stderr]    Compiling regex-syntax v0.6.25
[INFO] [stderr]    Compiling log v0.4.14
[INFO] [stderr]    Compiling quick-error v1.2.3
[INFO] [stderr]    Compiling unicode-width v0.1.8
[INFO] [stderr]    Compiling if_rust_version v1.0.0
[INFO] [stderr]    Compiling vec_map v0.8.2
[INFO] [stderr]    Compiling strsim v0.8.0
[INFO] [stderr]    Compiling termcolor v1.1.2
[INFO] [stderr]    Compiling bindgen v0.55.1
[INFO] [stderr]    Compiling peeking_take_while v0.1.2
[INFO] [stderr]    Compiling cc v1.0.67
[INFO] [stderr]    Compiling shlex v0.1.1
[INFO] [stderr]    Compiling rustc-hash v1.1.0
[INFO] [stderr]    Compiling lazycell v1.3.0
[INFO] [stderr]    Compiling cfg-if v0.1.10
[INFO] [stderr]    Compiling byteorder v1.4.3
[INFO] [stderr]    Compiling fs_extra v1.2.0
[INFO] [stderr]    Compiling maybe-owned v0.3.4
[INFO] [stderr]    Compiling libloading v0.7.0
[INFO] [stderr]    Compiling humantime v1.3.0
[INFO] [stderr]    Compiling textwrap v0.11.0
[INFO] [stderr]    Compiling nom v5.1.2
[INFO] [stderr]    Compiling clang-sys v1.2.0
[INFO] [stderr]    Compiling aho-corasick v0.7.18
[INFO] [stderr]    Compiling quote v1.0.9
[INFO] [stderr]    Compiling atty v0.2.14
[INFO] [stderr]    Compiling which v3.1.1
[INFO] [stderr]    Compiling clap v2.33.3
[INFO] [stderr]    Compiling regex v1.5.4
[INFO] [stderr]    Compiling cexpr v0.4.0
[INFO] [stderr]    Compiling env_logger v0.7.1
[INFO] [stderr]    Compiling cpp_common v0.5.6
[INFO] [stderr]    Compiling cpp_build v0.5.6
[INFO] [stderr]    Compiling thiserror-impl v1.0.24
[INFO] [stderr]    Compiling cpp_macros v0.5.6
[INFO] [stderr]    Compiling tflite v0.9.5 (https://github.com/mschwaig/tflite-rs.git?branch=stop-rewriting-flattbuffers-test#c1699560)
[INFO] [stderr]    Compiling thiserror v1.0.24
[INFO] [stderr]    Compiling cpp v0.5.6
[INFO] [stderr] error: failed to run custom build command for `tflite v0.9.5 (https://github.com/mschwaig/tflite-rs.git?branch=stop-rewriting-flattbuffers-test#c1699560)`
[INFO] [stderr] 
[INFO] [stderr] Caused by:
[INFO] [stderr]   process didn't exit successfully: `/opt/rustwide/target/debug/build/tflite-9af4d6b20efcb202/build-script-build` (exit status: 101)
[INFO] [stderr]   --- stdout
[INFO] [stderr]   TARGET = Some("x86_64-unknown-linux-gnu")
[INFO] [stderr]   HOST = Some("x86_64-unknown-linux-gnu")
[INFO] [stderr]   CXX_x86_64-unknown-linux-gnu = None
[INFO] [stderr]   CXX_x86_64_unknown_linux_gnu = None
[INFO] [stderr]   HOST_CXX = None
[INFO] [stderr]   CXX = None
[INFO] [stderr]   CXXFLAGS_x86_64-unknown-linux-gnu = None
[INFO] [stderr]   CXXFLAGS_x86_64_unknown_linux_gnu = None
[INFO] [stderr]   HOST_CXXFLAGS = None
[INFO] [stderr]   CXXFLAGS = None
[INFO] [stderr]   CRATE_CC_NO_DEFAULTS = None
[INFO] [stderr]   CARGO_CFG_TARGET_FEATURE = Some("fxsr,sse,sse2")
[INFO] [stderr]   running: "c++" "-O0" "-ffunction-sections" "-fdata-sections" "-fPIC" "-g" "-fno-omit-frame-pointer" "-m64" "-I" "/opt/rustwide/cargo-home/git/checkouts/tflite-rs-761d8e5ecfbeed72/c169956" "-I" "/opt/rustwide/cargo-home/git/checkouts/tflite-rs-761d8e5ecfbeed72/c169956/submodules/tensorflow" "-I" "/opt/rustwide/cargo-home/git/checkouts/tflite-rs-761d8e5ecfbeed72/c169956/submodules/downloads/flatbuffers/include" "-Wall" "-Wextra" "-fPIC" "-std=c++14" "-Wno-sign-compare" "-DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK" "-DFLATBUFFERS_POLYMORPHIC_NATIVETABLE" "-o" "/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/rust_cpp/cpp_closures.o" "-c" "/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/rust_cpp/cpp_closures.cpp"
[INFO] [stderr]   exit status: 0
[INFO] [stderr]   AR_x86_64-unknown-linux-gnu = None
[INFO] [stderr]   AR_x86_64_unknown_linux_gnu = None
[INFO] [stderr]   HOST_AR = None
[INFO] [stderr]   AR = None
[INFO] [stderr]   running: "ar" "cq" "/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/librust_cpp_generated.a" "/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/rust_cpp/cpp_closures.o"
[INFO] [stderr]   exit status: 0
[INFO] [stderr]   running: "ar" "s" "/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/librust_cpp_generated.a"
[INFO] [stderr]   exit status: 0
[INFO] [stderr]   cargo:rustc-link-lib=static=rust_cpp_generated
[INFO] [stderr]   cargo:rustc-link-search=native=/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out
[INFO] [stderr]   CXXSTDLIB_x86_64-unknown-linux-gnu = None
[INFO] [stderr]   CXXSTDLIB_x86_64_unknown_linux_gnu = None
[INFO] [stderr]   HOST_CXXSTDLIB = None
[INFO] [stderr]   CXXSTDLIB = None
[INFO] [stderr]   cargo:rustc-link-lib=stdc++
[INFO] [stderr]   Moving tflite source
[INFO] [stderr]   Moving source took 2.577317452s
[INFO] [stderr]   Building tflite
[INFO] [stderr]   cargo:rerun-if-env-changed=TFLITE_RS_MAKE_TARGET
[INFO] [stderr]   cargo:rerun-if-env-changed=TFLITE_RS_MAKE_TARGET_ARCH
[INFO] [stderr]   cargo:rerun-if-env-changed=TFLITE_RS_MAKE_TARGET_TOOLCHAIN_PREFIX
[INFO] [stderr]   cargo:rerun-if-env-changed=TFLITE_RS_MAKE_EXTRA_CFLAGS
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/allocation.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/allocation.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/arena_planner.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/arena_planner.o
[INFO] [stderr]   gcc -O3 -DNDEBUG -fPIC  -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread     -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/c/c_api_internal.c -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/c/c_api_internal.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/core/api/error_reporter.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/core/api/error_reporter.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/core/api/flatbuffer_conversions.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/core/api/flatbuffer_conversions.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/core/api/op_resolver.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/core/api/op_resolver.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/core/subgraph.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/core/subgraph.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/experimental/resource_variable/resource_variable.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/experimental/resource_variable/*.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/experimental/ruy/allocator.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/experimental/ruy/allocator.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/experimental/ruy/block_map.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/experimental/ruy/block_map.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/experimental/ruy/blocking_counter.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/experimental/ruy/blocking_counter.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/experimental/ruy/context.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/experimental/ruy/context.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/experimental/ruy/detect_dotprod.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/experimental/ruy/detect_dotprod.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/experimental/ruy/kernel_arm64.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/experimental/ruy/kernel_arm64.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/experimental/ruy/pack_arm.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/experimental/ruy/pack_arm.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/experimental/ruy/pmu.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/experimental/ruy/pmu.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/experimental/ruy/thread_pool.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/experimental/ruy/thread_pool.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/experimental/ruy/trace.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/experimental/ruy/trace.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/experimental/ruy/kernel_arm32.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/experimental/ruy/kernel_arm32.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/experimental/ruy/trmul.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/experimental/ruy/trmul.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/experimental/ruy/tune.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/experimental/ruy/tune.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/experimental/ruy/wait.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/experimental/ruy/wait.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/external_cpu_backend_context.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/external_cpu_backend_context.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/graph_info.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/graph_info.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/interpreter.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/interpreter.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/kernels/activations.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/activations.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/kernels/add.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/add.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/kernels/add_n.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/add_n.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/kernels/arg_min_max.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/arg_min_max.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/kernels/assign_variable.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/assign_variable.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/kernels/audio_spectrogram.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/audio_spectrogram.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/kernels/basic_rnn.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/basic_rnn.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/kernels/bidirectional_sequence_lstm.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/bidirectional_sequence_lstm.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/kernels/batch_to_space_nd.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/batch_to_space_nd.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/kernels/bidirectional_sequence_rnn.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/bidirectional_sequence_rnn.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/kernels/cast.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/cast.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/kernels/ceil.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/ceil.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/kernels/comparisons.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/comparisons.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/kernels/concatenation.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/concatenation.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/kernels/conv.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/conv.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/kernels/cpu_backend_context.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/cpu_backend_context.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/kernels/cpu_backend_gemm_eigen.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/cpu_backend_gemm_eigen.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/kernels/depth_to_space.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/depth_to_space.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/kernels/depthwise_conv.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/depthwise_conv.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/kernels/dequantize.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/dequantize.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/kernels/detection_postprocess.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/detection_postprocess.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/kernels/div.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/div.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/kernels/eigen_support.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/eigen_support.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/kernels/elementwise.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/elementwise.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/kernels/embedding_lookup.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/embedding_lookup.o
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/kernels/embedding_lookup_sparse.cc -o /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/embedding_lookup_sparse.o
[INFO] [stderr] 
[INFO] [stderr]   --- stderr
[INFO] [stderr]   error: 'rustfmt' is not installed for the toolchain '1.54.0-x86_64-unknown-linux-gnu'
[INFO] [stderr]   To install, run `rustup component add rustfmt --toolchain 1.54.0-x86_64-unknown-linux-gnu`
[INFO] [stderr]   Failed to run rustfmt: Internal rustfmt error (non-fatal, continuing)
[INFO] [stderr]   make command = "make" "-j" "32" "BUILD_WITH_NNAPI=false" "-f" "tensorflow/lite/tools/make/Makefile" "TARGET=linux" "TARGET_ARCH=x86_64" "micro" in dir  "/opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow"
[INFO] [stderr]   g++: fatal error: Killed signal terminated program cc1plus
[INFO] [stderr]   compilation terminated.
[INFO] [stderr]   g++: fatal error: Killed signal terminated program cc1plus
[INFO] [stderr]   compilation terminated.
[INFO] [stderr]   make: *** [tensorflow/lite/tools/make/Makefile:246: /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/core/subgraph.o] Error 1
[INFO] [stderr]   make: *** Waiting for unfinished jobs....
[INFO] [stderr]   make: *** [tensorflow/lite/tools/make/Makefile:246: /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/depth_to_space.o] Error 1
[INFO] [stderr]   g++: fatal error: Killed signal terminated program cc1plus
[INFO] [stderr]   compilation terminated.
[INFO] [stderr]   make: *** [tensorflow/lite/tools/make/Makefile:246: /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/ceil.o] Error 1
[INFO] [stderr]   g++: fatal error: Killed signal terminated program cc1plus
[INFO] [stderr]   compilation terminated.
[INFO] [stderr]   g++: fatal error: Killed signal terminated program cc1plus
[INFO] [stderr]   compilation terminated.
[INFO] [stderr]   g++: fatal error: Killed signal terminated program cc1plus
[INFO] [stderr]   compilation terminated.
[INFO] [stderr]   g++: fatal error: Killed signal terminated program cc1plus
[INFO] [stderr]   compilation terminated.
[INFO] [stderr]   make: *** [tensorflow/lite/tools/make/Makefile:246: /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/core/api/flatbuffer_conversions.o] Error 1
[INFO] [stderr]   make: *** [tensorflow/lite/tools/make/Makefile:246: /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/audio_spectrogram.o] Error 1
[INFO] [stderr]   make: *** [tensorflow/lite/tools/make/Makefile:246: /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/cast.o] Error 1
[INFO] [stderr]   make: *** [tensorflow/lite/tools/make/Makefile:246: /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/cpu_backend_gemm_eigen.o] Error 1
[INFO] [stderr]   g++: fatal error: Killed signal terminated program cc1plus
[INFO] [stderr]   compilation terminated.
[INFO] [stderr]   g++: fatal error: Killed signal terminated program cc1plus
[INFO] [stderr]   compilation terminated.
[INFO] [stderr]   make: *** [tensorflow/lite/tools/make/Makefile:245: /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/core/api/op_resolver.o] Error 1
[INFO] [stderr]   make: *** [tensorflow/lite/tools/make/Makefile:245: /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/interpreter.o] Error 1
[INFO] [stderr]   g++: fatal error: Killed signal terminated program cc1plus
[INFO] [stderr]   compilation terminated.
[INFO] [stderr]   make: *** [tensorflow/lite/tools/make/Makefile:245: /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/arg_min_max.o] Error 1
[INFO] [stderr]   g++: fatal error: Killed signal terminated program cc1plus
[INFO] [stderr]   compilation terminated.
[INFO] [stderr]   make: *** [tensorflow/lite/tools/make/Makefile:245: /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/add_n.o] Error 1
[INFO] [stderr]   g++: fatal error: Killed signal terminated program cc1plus
[INFO] [stderr]   compilation terminated.
[INFO] [stderr]   make: *** [tensorflow/lite/tools/make/Makefile:245: /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/concatenation.o] Error 1
[INFO] [stderr]   g++: fatal error: Killed signal terminated program cc1plus
[INFO] [stderr]   compilation terminated.
[INFO] [stderr]   make: *** [tensorflow/lite/tools/make/Makefile:245: /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/detection_postprocess.o] Error 1
[INFO] [stderr]   g++: fatal error: Killed signal terminated program cc1plus
[INFO] [stderr]   compilation terminated.
[INFO] [stderr]   make: *** [tensorflow/lite/tools/make/Makefile:245: /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/dequantize.o] Error 1
[INFO] [stderr]   g++: fatal error: Killed signal terminated program cc1plus
[INFO] [stderr]   compilation terminated.
[INFO] [stderr]   make: *** [tensorflow/lite/tools/make/Makefile:245: /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/activations.o] Error 1
[INFO] [stderr]   g++: fatal error: Killed signal terminated program cc1plus
[INFO] [stderr]   compilation terminated.
[INFO] [stderr]   make: *** [tensorflow/lite/tools/make/Makefile:245: /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/add.o] Error 1
[INFO] [stderr]   In file included from ./tensorflow/lite/kernels/internal/optimized/eigen_spatial_convolutions.h:39,
[INFO] [stderr]                    from ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:31,
[INFO] [stderr]                    from tensorflow/lite/kernels/conv.cc:31:
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of 'void EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>]':
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:244:16:   required from 'void EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper<float, long int, 0, 0, 1>; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 1, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:876:11:   required from 'void EigenForTFLite::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Scalar*, EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Index, EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>; EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Scalar = float; EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Index = long int]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:779:5:   required from 'void EigenForTFLite::TensorContractionEvaluatorBase<Derived>::evalGemm(EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>; EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Scalar = float]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:709:7:   required from 'void EigenForTFLite::TensorContractionEvaluatorBase<Derived>::evalProductSequential(EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>; EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Scalar = float]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7:   required from 'void EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::evalProductImpl(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Scalar*, DoneCallback) const [with DoneCallback = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<EigenForTFLite::IndexPair<long int>, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Scalar = float]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:5:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:175:44:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes<long int, 4>; ArgType = const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:148:62:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:358:16:   required from 'static void EigenForTFLite::internal::TensorExecutor<Expression, EigenForTFLite::ThreadPoolDevice, Vectorizable, Tileable>::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp<EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; bool Tileable = false]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62:   required from 'EigenForTFLite::TensorDevice<ExpressionType, DeviceType>& EigenForTFLite::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]'
[INFO] [stderr]   ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29:   required from 'void tflite::multithreaded_ops::EigenTensorConvFunctor<T>::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]'
[INFO] [stderr]   ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:169:65:   required from here
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1109:40: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
[INFO] [stderr]    1109 |                 PacketBlock<Packet, 4> kernel;
[INFO] [stderr]         |                                        ^~~~~~
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1149:40: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
[INFO] [stderr]    1149 |                 PacketBlock<Packet, 4> kernel;
[INFO] [stderr]         |                                        ^~~~~~
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1174:36: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
[INFO] [stderr]    1174 |             PacketBlock<Packet, 4> kernel;
[INFO] [stderr]         |                                    ^~~~~~
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of 'typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type = __vector(4) float]':
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:760:65:   required from 'EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]'
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1175:30:   required from 'void EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:244:16:   required from 'void EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper<float, long int, 0, 0, 1>; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 1, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:876:11:   required from 'void EigenForTFLite::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Scalar*, EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Index, EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>; EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Scalar = float; EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Index = long int]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:779:5:   required from 'void EigenForTFLite::TensorContractionEvaluatorBase<Derived>::evalGemm(EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>; EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Scalar = float]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:709:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:175:44:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes<long int, 4>; ArgType = const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:148:62:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:358:16:   required from 'static void EigenForTFLite::internal::TensorExecutor<Expression, EigenForTFLite::ThreadPoolDevice, Vectorizable, Tileable>::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp<EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; bool Tileable = false]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62:   required from 'EigenForTFLite::TensorDevice<ExpressionType, DeviceType>& EigenForTFLite::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]'
[INFO] [stderr]   ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29:   required from 'void tflite::multithreaded_ops::EigenTensorConvFunctor<T>::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]'
[INFO] [stderr]   ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:169:65:   required from here
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:485:17: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
[INFO] [stderr]     485 |     const Index packetSize = internal::unpacket_traits<Packet>::size;
[INFO] [stderr]         |                 ^~~~~~~~~~
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of 'void EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, true, 0, EigenForTFLite::MakePointer>]':
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:244:16:   required from 'void EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper<float, long int, 0, 0, 1>; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 1, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, true, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, true, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:731:9:   required from 'void EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext<DoneCallback, lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>::pack_rhs(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array<EigenForTFLite::IndexPair<long int>, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index = long int]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:862:11:   required from 'void EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext<DoneCallback, lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>::enqueue_packing_helper(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, bool) [with DoneCallback = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array<EigenForTFLite::IndexPair<long int>, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index = long int]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:856:7:   required from 'void EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext<DoneCallback, lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>::enqueue_packing(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, bool) [with DoneCallback = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array<EigenForTFLite::IndexPair<long int>, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index = long int]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:833:11:   required from 'void EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext<DoneCallback, lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>::signal_switch(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array<EigenForTFLite::IndexPair<long int>, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index = long int]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:496:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:175:44:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes<long int, 4>; ArgType = const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:148:62:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:358:16:   required from 'static void EigenForTFLite::internal::TensorExecutor<Expression, EigenForTFLite::ThreadPoolDevice, Vectorizable, Tileable>::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp<EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; bool Tileable = false]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62:   required from 'EigenForTFLite::TensorDevice<ExpressionType, DeviceType>& EigenForTFLite::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]'
[INFO] [stderr]   ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29:   required from 'void tflite::multithreaded_ops::EigenTensorConvFunctor<T>::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]'
[INFO] [stderr]   ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:169:65:   required from here
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1109:40: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
[INFO] [stderr]    1109 |                 PacketBlock<Packet, 4> kernel;
[INFO] [stderr]         |                                        ^~~~~~
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1149:40: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
[INFO] [stderr]    1149 |                 PacketBlock<Packet, 4> kernel;
[INFO] [stderr]         |                                        ^~~~~~
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1174:36: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
[INFO] [stderr]    1174 |             PacketBlock<Packet, 4> kernel;
[INFO] [stderr]         |                                    ^~~~~~
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of 'void EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, true, 0, EigenForTFLite::MakePointer>]':
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:244:16:   required from 'void EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper<float, long int, 0, 0, 1>; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 1, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, true, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, true, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:731:9:   required from 'void EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext<DoneCallback, lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>::pack_rhs(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array<EigenForTFLite::IndexPair<long int>, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index = long int]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:862:11:   required from 'void EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext<DoneCallback, lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>::enqueue_packing_helper(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, bool) [with DoneCallback = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array<EigenForTFLite::IndexPair<long int>, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index = long int]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:856:7:   required from 'void EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext<DoneCallback, lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>::enqueue_packing(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, bool) [with DoneCallback = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array<EigenForTFLite::IndexPair<long int>, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index = long int]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:833:11:   required from 'void EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext<DoneCallback, lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>::signal_switch(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array<EigenForTFLite::IndexPair<long int>, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index = long int]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:496:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:175:44:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes<long int, 4>; ArgType = const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:148:62:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:358:16:   required from 'static void EigenForTFLite::internal::TensorExecutor<Expression, EigenForTFLite::ThreadPoolDevice, Vectorizable, Tileable>::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp<EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; bool Tileable = false]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62:   required from 'EigenForTFLite::TensorDevice<ExpressionType, DeviceType>& EigenForTFLite::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]'
[INFO] [stderr]   ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29:   required from 'void tflite::multithreaded_ops::EigenTensorConvFunctor<T>::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]'
[INFO] [stderr]   ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:169:65:   required from here
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1109:40: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
[INFO] [stderr]    1109 |                 PacketBlock<Packet, 4> kernel;
[INFO] [stderr]         |                                        ^~~~~~
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1149:40: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
[INFO] [stderr]    1149 |                 PacketBlock<Packet, 4> kernel;
[INFO] [stderr]         |                                        ^~~~~~
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1174:36: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
[INFO] [stderr]    1174 |             PacketBlock<Packet, 4> kernel;
[INFO] [stderr]         |                                    ^~~~~~
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of 'void EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, false, 0, EigenForTFLite::MakePointer>]':
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:244:16:   required from 'void EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper<float, long int, 0, 0, 1>; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 1, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, false, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, false, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:731:9:   required from 'void EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext<DoneCallback, lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>::pack_rhs(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const std::array<EigenForTFLite::IndexPair<long int>, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index = long int]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:862:11:   required from 'void EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext<DoneCallback, lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>::enqueue_packing_helper(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, bool) [with DoneCallback = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const std::array<EigenForTFLite::IndexPair<long int>, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index = long int]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:856:7:   required from 'void EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext<DoneCallback, lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>::enqueue_packing(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, bool) [with DoneCallback = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const std::array<EigenForTFLite::IndexPair<long int>, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index = long int]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:833:11:   required from 'void EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext<DoneCallback, lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>::signal_switch(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const std::array<EigenForTFLite::IndexPair<long int>, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index = long int]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:496:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:175:44:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes<long int, 4>; ArgType = const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:148:62:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:358:16:   required from 'static void EigenForTFLite::internal::TensorExecutor<Expression, EigenForTFLite::ThreadPoolDevice, Vectorizable, Tileable>::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp<EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; bool Tileable = false]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62:   required from 'EigenForTFLite::TensorDevice<ExpressionType, DeviceType>& EigenForTFLite::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]'
[INFO] [stderr]   ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29:   required from 'void tflite::multithreaded_ops::EigenTensorConvFunctor<T>::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]'
[INFO] [stderr]   ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:169:65:   required from here
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1109:40: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
[INFO] [stderr]    1109 |                 PacketBlock<Packet, 4> kernel;
[INFO] [stderr]         |                                        ^~~~~~
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1149:40: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
[INFO] [stderr]    1149 |                 PacketBlock<Packet, 4> kernel;
[INFO] [stderr]         |                                        ^~~~~~
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1174:36: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
[INFO] [stderr]    1174 |             PacketBlock<Packet, 4> kernel;
[INFO] [stderr]         |                                    ^~~~~~
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of 'EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]':
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:492:14:   required from 'typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type = __vector(4) float]'
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:760:65:   required from 'EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]'
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1175:30:   required from 'void EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:244:16:   required from 'void EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper<float, long int, 0, 0, 1>; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 1, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:876:11:   required from 'void EigenForTFLite::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Scalar*, EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Index, EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>; EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Scalar = float; EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Index = long int]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:779:5:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:175:44:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes<long int, 4>; ArgType = const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:148:62:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:358:16:   required from 'static void EigenForTFLite::internal::TensorExecutor<Expression, EigenForTFLite::ThreadPoolDevice, Vectorizable, Tileable>::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp<EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; bool Tileable = false]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62:   required from 'EigenForTFLite::TensorDevice<ExpressionType, DeviceType>& EigenForTFLite::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]'
[INFO] [stderr]   ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29:   required from 'void tflite::multithreaded_ops::EigenTensorConvFunctor<T>::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]'
[INFO] [stderr]   ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:169:65:   required from here
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:572:17: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
[INFO] [stderr]     572 |     const Index packetSize = internal::unpacket_traits<Packet>::size;
[INFO] [stderr]         |                 ^~~~~~~~~~
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of 'EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]':
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:513:12:   required from 'typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type = __vector(4) float]'
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:760:65:   required from 'EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]'
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1175:30:   required from 'void EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:244:16:   required from 'void EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper<float, long int, 0, 0, 1>; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 1, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:876:11:   required from 'void EigenForTFLite::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Scalar*, EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Index, EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>; EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Scalar = float; EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Index = long int]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:779:5:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:175:44:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes<long int, 4>; ArgType = const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:148:62:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:358:16:   required from 'static void EigenForTFLite::internal::TensorExecutor<Expression, EigenForTFLite::ThreadPoolDevice, Vectorizable, Tileable>::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp<EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; bool Tileable = false]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62:   required from 'EigenForTFLite::TensorDevice<ExpressionType, DeviceType>& EigenForTFLite::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]'
[INFO] [stderr]   ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29:   required from 'void tflite::multithreaded_ops::EigenTensorConvFunctor<T>::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]'
[INFO] [stderr]   ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:169:65:   required from here
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:600:15: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
[INFO] [stderr]     600 |     const int packetSize = internal::unpacket_traits<Packet>::size;
[INFO] [stderr]         |               ^~~~~~~~~~
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of 'typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type = __vector(4) float]':
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:760:65:   required from 'EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]'
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1175:30:   required from 'void EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, true, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:244:16:   required from 'void EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper<float, long int, 0, 0, 1>; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 1, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, true, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, true, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:731:9:   required from 'void EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext<DoneCallback, lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>::pack_rhs(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array<EigenForTFLite::IndexPair<long int>, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index = long int]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:862:11:   required from 'void EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext<DoneCallback, lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>::enqueue_packing_helper(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, bool) [with DoneCallback = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array<EigenForTFLite::IndexPair<long int>, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index = long int]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:856:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:175:44:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes<long int, 4>; ArgType = const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:148:62:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:358:16:   required from 'static void EigenForTFLite::internal::TensorExecutor<Expression, EigenForTFLite::ThreadPoolDevice, Vectorizable, Tileable>::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp<EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; bool Tileable = false]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62:   required from 'EigenForTFLite::TensorDevice<ExpressionType, DeviceType>& EigenForTFLite::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]'
[INFO] [stderr]   ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29:   required from 'void tflite::multithreaded_ops::EigenTensorConvFunctor<T>::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]'
[INFO] [stderr]   ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:169:65:   required from here
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:485:17: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
[INFO] [stderr]     485 |     const Index packetSize = internal::unpacket_traits<Packet>::size;
[INFO] [stderr]         |                 ^~~~~~~~~~
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of 'typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type = __vector(4) float]':
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:760:65:   required from 'EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]'
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1175:30:   required from 'void EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, true, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:244:16:   required from 'void EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper<float, long int, 0, 0, 1>; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 1, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, true, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, true, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:731:9:   required from 'void EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext<DoneCallback, lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>::pack_rhs(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array<EigenForTFLite::IndexPair<long int>, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index = long int]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:862:11:   required from 'void EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext<DoneCallback, lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>::enqueue_packing_helper(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, bool) [with DoneCallback = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array<EigenForTFLite::IndexPair<long int>, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index = long int]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:856:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:175:44:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes<long int, 4>; ArgType = const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:148:62:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:358:16:   required from 'static void EigenForTFLite::internal::TensorExecutor<Expression, EigenForTFLite::ThreadPoolDevice, Vectorizable, Tileable>::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp<EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; bool Tileable = false]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62:   required from 'EigenForTFLite::TensorDevice<ExpressionType, DeviceType>& EigenForTFLite::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]'
[INFO] [stderr]   ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29:   required from 'void tflite::multithreaded_ops::EigenTensorConvFunctor<T>::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]'
[INFO] [stderr]   ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:169:65:   required from here
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:485:17: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of 'typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type = __vector(4) float]':
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:760:65:   required from 'EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]'
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1175:30:   required from 'void EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, false, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:244:16:   required from 'void EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper<float, long int, 0, 0, 1>; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 1, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, false, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, false, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:731:9:   required from 'void EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext<DoneCallback, lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>::pack_rhs(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const std::array<EigenForTFLite::IndexPair<long int>, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index = long int]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:862:11:   required from 'void EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext<DoneCallback, lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>::enqueue_packing_helper(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, bool) [with DoneCallback = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const std::array<EigenForTFLite::IndexPair<long int>, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index = long int]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:856:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:175:44:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes<long int, 4>; ArgType = const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:148:62:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:358:16:   required from 'static void EigenForTFLite::internal::TensorExecutor<Expression, EigenForTFLite::ThreadPoolDevice, Vectorizable, Tileable>::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp<EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; bool Tileable = false]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62:   required from 'EigenForTFLite::TensorDevice<ExpressionType, DeviceType>& EigenForTFLite::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]'
[INFO] [stderr]   ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29:   required from 'void tflite::multithreaded_ops::EigenTensorConvFunctor<T>::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]'
[INFO] [stderr]   ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:169:65:   required from here
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:485:17: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of 'EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]':
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:492:14:   required from 'typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type = __vector(4) float]'
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:760:65:   required from 'EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]'
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1175:30:   required from 'void EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, true, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:244:16:   required from 'void EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper<float, long int, 0, 0, 1>; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 1, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, true, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, true, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:731:9:   required from 'void EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext<DoneCallback, lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>::pack_rhs(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array<EigenForTFLite::IndexPair<long int>, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index = long int]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:862:11:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:175:44:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes<long int, 4>; ArgType = const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:148:62:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:358:16:   required from 'static void EigenForTFLite::internal::TensorExecutor<Expression, EigenForTFLite::ThreadPoolDevice, Vectorizable, Tileable>::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp<EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; bool Tileable = false]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62:   required from 'EigenForTFLite::TensorDevice<ExpressionType, DeviceType>& EigenForTFLite::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]'
[INFO] [stderr]   ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29:   required from 'void tflite::multithreaded_ops::EigenTensorConvFunctor<T>::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]'
[INFO] [stderr]   ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:169:65:   required from here
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:572:17: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
[INFO] [stderr]     572 |     const Index packetSize = internal::unpacket_traits<Packet>::size;
[INFO] [stderr]         |                 ^~~~~~~~~~
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of 'EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]':
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:513:12:   required from 'typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type = __vector(4) float]'
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:760:65:   required from 'EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]'
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1175:30:   required from 'void EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, true, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:244:16:   required from 'void EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper<float, long int, 0, 0, 1>; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 1, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, true, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, true, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:731:9:   required from 'void EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext<DoneCallback, lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>::pack_rhs(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array<EigenForTFLite::IndexPair<long int>, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index = long int]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:862:11:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:175:44:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes<long int, 4>; ArgType = const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:148:62:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:358:16:   required from 'static void EigenForTFLite::internal::TensorExecutor<Expression, EigenForTFLite::ThreadPoolDevice, Vectorizable, Tileable>::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp<EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; bool Tileable = false]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62:   required from 'EigenForTFLite::TensorDevice<ExpressionType, DeviceType>& EigenForTFLite::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]'
[INFO] [stderr]   ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29:   required from 'void tflite::multithreaded_ops::EigenTensorConvFunctor<T>::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]'
[INFO] [stderr]   ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:169:65:   required from here
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:600:15: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
[INFO] [stderr]     600 |     const int packetSize = internal::unpacket_traits<Packet>::size;
[INFO] [stderr]         |               ^~~~~~~~~~
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of 'EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]':
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:492:14:   required from 'typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type = __vector(4) float]'
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:760:65:   required from 'EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]'
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1175:30:   required from 'void EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, true, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:244:16:   required from 'void EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper<float, long int, 0, 0, 1>; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 1, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, true, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, true, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:731:9:   required from 'void EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext<DoneCallback, lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>::pack_rhs(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array<EigenForTFLite::IndexPair<long int>, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index = long int]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:862:11:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:175:44:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes<long int, 4>; ArgType = const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:148:62:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:358:16:   required from 'static void EigenForTFLite::internal::TensorExecutor<Expression, EigenForTFLite::ThreadPoolDevice, Vectorizable, Tileable>::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp<EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; bool Tileable = false]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62:   required from 'EigenForTFLite::TensorDevice<ExpressionType, DeviceType>& EigenForTFLite::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]'
[INFO] [stderr]   ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29:   required from 'void tflite::multithreaded_ops::EigenTensorConvFunctor<T>::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]'
[INFO] [stderr]   ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:169:65:   required from here
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:572:17: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
[INFO] [stderr]     572 |     const Index packetSize = internal::unpacket_traits<Packet>::size;
[INFO] [stderr]         |                 ^~~~~~~~~~
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of 'EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]':
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:513:12:   required from 'typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type = __vector(4) float]'
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:760:65:   required from 'EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]'
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1175:30:   required from 'void EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, true, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:244:16:   required from 'void EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper<float, long int, 0, 0, 1>; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 1, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, true, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, true, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:731:9:   required from 'void EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext<DoneCallback, lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>::pack_rhs(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array<EigenForTFLite::IndexPair<long int>, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index = long int]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:862:11:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:175:44:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes<long int, 4>; ArgType = const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:148:62:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:358:16:   required from 'static void EigenForTFLite::internal::TensorExecutor<Expression, EigenForTFLite::ThreadPoolDevice, Vectorizable, Tileable>::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp<EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; bool Tileable = false]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62:   required from 'EigenForTFLite::TensorDevice<ExpressionType, DeviceType>& EigenForTFLite::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]'
[INFO] [stderr]   ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29:   required from 'void tflite::multithreaded_ops::EigenTensorConvFunctor<T>::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]'
[INFO] [stderr]   ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:169:65:   required from here
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:600:15: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
[INFO] [stderr]     600 |     const int packetSize = internal::unpacket_traits<Packet>::size;
[INFO] [stderr]         |               ^~~~~~~~~~
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of 'EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]':
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:492:14:   required from 'typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type = __vector(4) float]'
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:760:65:   required from 'EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]'
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1175:30:   required from 'void EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, false, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:244:16:   required from 'void EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper<float, long int, 0, 0, 1>; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 1, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, false, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, false, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:731:9:   required from 'void EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext<DoneCallback, lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>::pack_rhs(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const std::array<EigenForTFLite::IndexPair<long int>, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index = long int]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:862:11:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:175:44:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes<long int, 4>; ArgType = const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:148:62:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:358:16:   required from 'static void EigenForTFLite::internal::TensorExecutor<Expression, EigenForTFLite::ThreadPoolDevice, Vectorizable, Tileable>::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp<EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; bool Tileable = false]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62:   required from 'EigenForTFLite::TensorDevice<ExpressionType, DeviceType>& EigenForTFLite::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]'
[INFO] [stderr]   ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29:   required from 'void tflite::multithreaded_ops::EigenTensorConvFunctor<T>::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]'
[INFO] [stderr]   ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:169:65:   required from here
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:572:17: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
[INFO] [stderr]     572 |     const Index packetSize = internal::unpacket_traits<Packet>::size;
[INFO] [stderr]         |                 ^~~~~~~~~~
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of 'EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]':
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:513:12:   required from 'typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type = __vector(4) float]'
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:760:65:   required from 'EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]'
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1175:30:   required from 'void EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, false, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:244:16:   required from 'void EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper<float, long int, 0, 0, 1>; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 1, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, false, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, false, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:731:9:   required from 'void EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext<DoneCallback, lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>::pack_rhs(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const std::array<EigenForTFLite::IndexPair<long int>, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index = long int]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:862:11:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:175:44:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes<long int, 4>; ArgType = const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:148:62:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:358:16:   required from 'static void EigenForTFLite::internal::TensorExecutor<Expression, EigenForTFLite::ThreadPoolDevice, Vectorizable, Tileable>::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp<EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; bool Tileable = false]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-f637e3be48c6dfc1/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62:   required from 'EigenForTFLite::TensorDevice<ExpressionType, DeviceType>& EigenForTFLite::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]'
[INFO] [stderr]   ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29:   required from 'void tflite::multithreaded_ops::EigenTensorConvFunctor<T>::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]'
[INFO] [stderr]   ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:169:65:   required from here
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:600:15: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type' {aka '__vector(4) float'} [-Wignored-attributes]
[INFO] [stderr]     600 |     const int packetSize = internal::unpacket_traits<Packet>::size;
[INFO] [stderr]         |               ^~~~~~~~~~
[INFO] [stderr]   thread 'main' panicked at 'Failed to build tensorflow', /opt/rustwide/cargo-home/git/checkouts/tflite-rs-761d8e5ecfbeed72/c169956/build.rs:146:17
[INFO] [stderr]   stack backtrace:
[INFO] [stderr]      0:     0x559e92c707e0 - std::backtrace_rs::backtrace::libunwind::trace::h34055254b57d8e79
[INFO] [stderr]                                  at /rustc/a178d0322ce20e33eac124758e837cbd80a6f633/library/std/src/../../backtrace/src/backtrace/libunwind.rs:90:5
[INFO] [stderr]      1:     0x559e92c707e0 - std::backtrace_rs::backtrace::trace_unsynchronized::h8f1e3fbd9afff6ec
[INFO] [stderr]                                  at /rustc/a178d0322ce20e33eac124758e837cbd80a6f633/library/std/src/../../backtrace/src/backtrace/mod.rs:66:5
[INFO] [stderr]      2:     0x559e92c707e0 - std::sys_common::backtrace::_print_fmt::h3a99a796b770c360
[INFO] [stderr]                                  at /rustc/a178d0322ce20e33eac124758e837cbd80a6f633/library/std/src/sys_common/backtrace.rs:67:5
[INFO] [stderr]      3:     0x559e92c707e0 - <std::sys_common::backtrace::_print::DisplayBacktrace as core::fmt::Display>::fmt::h32d1f94a80615d18
[INFO] [stderr]                                  at /rustc/a178d0322ce20e33eac124758e837cbd80a6f633/library/std/src/sys_common/backtrace.rs:46:22
[INFO] [stderr]      4:     0x559e92c97b1c - core::fmt::write::h306731c068f7162c
[INFO] [stderr]                                  at /rustc/a178d0322ce20e33eac124758e837cbd80a6f633/library/core/src/fmt/mod.rs:1110:17
[INFO] [stderr]      5:     0x559e92c6cc95 - std::io::Write::write_fmt::hd2fa90334eee2a21
[INFO] [stderr]                                  at /rustc/a178d0322ce20e33eac124758e837cbd80a6f633/library/std/src/io/mod.rs:1588:15
[INFO] [stderr]      6:     0x559e92c7317b - std::sys_common::backtrace::_print::h5abaa2601a852287
[INFO] [stderr]                                  at /rustc/a178d0322ce20e33eac124758e837cbd80a6f633/library/std/src/sys_common/backtrace.rs:49:5
[INFO] [stderr]      7:     0x559e92c7317b - std::sys_common::backtrace::print::h8d81445442bb638f
[INFO] [stderr]                                  at /rustc/a178d0322ce20e33eac124758e837cbd80a6f633/library/std/src/sys_common/backtrace.rs:36:9
[INFO] [stderr]      8:     0x559e92c7317b - std::panicking::default_hook::{{closure}}::hcfe804496a9fa747
[INFO] [stderr]                                  at /rustc/a178d0322ce20e33eac124758e837cbd80a6f633/library/std/src/panicking.rs:208:50
[INFO] [stderr]      9:     0x559e92c72c51 - std::panicking::default_hook::hbea8e3ccf2ba8901
[INFO] [stderr]                                  at /rustc/a178d0322ce20e33eac124758e837cbd80a6f633/library/std/src/panicking.rs:225:9
[INFO] [stderr]     10:     0x559e92c73869 - std::panicking::rust_panic_with_hook::h7ee9e1a2d0f8975a
[INFO] [stderr]                                  at /rustc/a178d0322ce20e33eac124758e837cbd80a6f633/library/std/src/panicking.rs:626:17
[INFO] [stderr]     11:     0x559e92c3d673 - std::panicking::begin_panic::{{closure}}::h384e85501581ce9c
[INFO] [stderr]                                  at /rustc/a178d0322ce20e33eac124758e837cbd80a6f633/library/std/src/panicking.rs:542:9
[INFO] [stderr]     12:     0x559e92c270a9 - std::sys_common::backtrace::__rust_end_short_backtrace::h800ff877e32dd761
[INFO] [stderr]                                  at /rustc/a178d0322ce20e33eac124758e837cbd80a6f633/library/std/src/sys_common/backtrace.rs:141:18
[INFO] [stderr]     13:     0x559e92c3d5a9 - std::panicking::begin_panic::h53376e2b0d1e24ca
[INFO] [stderr]                                  at /rustc/a178d0322ce20e33eac124758e837cbd80a6f633/library/std/src/panicking.rs:541:12
[INFO] [stderr]     14:     0x559e9250b902 - build_script_build::prepare_tensorflow_library::hacbe166e136cb36f
[INFO] [stderr]                                  at /opt/rustwide/cargo-home/git/checkouts/tflite-rs-761d8e5ecfbeed72/c169956/build.rs:146:17
[INFO] [stderr]     15:     0x559e9250d473 - build_script_build::main::h30eb23c1c358c559
[INFO] [stderr]                                  at /opt/rustwide/cargo-home/git/checkouts/tflite-rs-761d8e5ecfbeed72/c169956/build.rs:521:9
[INFO] [stderr]     16:     0x559e9250dd1b - core::ops::function::FnOnce::call_once::he6570dd338101fac
[INFO] [stderr]                                  at /rustc/a178d0322ce20e33eac124758e837cbd80a6f633/library/core/src/ops/function.rs:227:5
[INFO] [stderr]     17:     0x559e9251050e - std::sys_common::backtrace::__rust_begin_short_backtrace::hde5e71395febfbbd
[INFO] [stderr]                                  at /rustc/a178d0322ce20e33eac124758e837cbd80a6f633/library/std/src/sys_common/backtrace.rs:125:18
[INFO] [stderr]     18:     0x559e9250d4f1 - std::rt::lang_start::{{closure}}::h73caef0cea985fe4
[INFO] [stderr]                                  at /rustc/a178d0322ce20e33eac124758e837cbd80a6f633/library/std/src/rt.rs:49:18
[INFO] [stderr]     19:     0x559e92c73e49 - core::ops::function::impls::<impl core::ops::function::FnOnce<A> for &F>::call_once::h2aabc384aab89b7b
[INFO] [stderr]                                  at /rustc/a178d0322ce20e33eac124758e837cbd80a6f633/library/core/src/ops/function.rs:259:13
[INFO] [stderr]     20:     0x559e92c73e49 - std::panicking::try::do_call::hc5fcacb7a85fc7b1
[INFO] [stderr]                                  at /rustc/a178d0322ce20e33eac124758e837cbd80a6f633/library/std/src/panicking.rs:401:40
[INFO] [stderr]     21:     0x559e92c73e49 - std::panicking::try::hb5d9603af3abbe3a
[INFO] [stderr]                                  at /rustc/a178d0322ce20e33eac124758e837cbd80a6f633/library/std/src/panicking.rs:365:19
[INFO] [stderr]     22:     0x559e92c73e49 - std::panic::catch_unwind::h98fe6ac3925e64b4
[INFO] [stderr]                                  at /rustc/a178d0322ce20e33eac124758e837cbd80a6f633/library/std/src/panic.rs:434:14
[INFO] [stderr]     23:     0x559e92c73e49 - std::rt::lang_start_internal::h22ac7383c516f93e
[INFO] [stderr]                                  at /rustc/a178d0322ce20e33eac124758e837cbd80a6f633/library/std/src/rt.rs:34:21
[INFO] [stderr]     24:     0x559e9250d4d0 - std::rt::lang_start::he43aba4ac5674000
[INFO] [stderr]                                  at /rustc/a178d0322ce20e33eac124758e837cbd80a6f633/library/std/src/rt.rs:48:5
[INFO] [stderr]     25:     0x559e9250d49c - main
[INFO] [stderr]     26:     0x7eff099ac0b3 - __libc_start_main
[INFO] [stderr]     27:     0x559e9250420e - _start
[INFO] [stderr]     28:                0x0 - <unknown>
[INFO] running `Command { std: "docker" "inspect" "bfd1f1180235d2a0012bcb773f03b7ab772d1f9704c4ebd8786ec0aeb49cef67", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "bfd1f1180235d2a0012bcb773f03b7ab772d1f9704c4ebd8786ec0aeb49cef67", kill_on_drop: false }`
[INFO] [stdout] bfd1f1180235d2a0012bcb773f03b7ab772d1f9704c4ebd8786ec0aeb49cef67
