[INFO] fetching crate tflite 0.9.8...
[INFO] testing tflite-0.9.8 against 1.91.0 for beta-1.92-2
[INFO] extracting crate tflite 0.9.8 into /workspace/builds/worker-4-tc1/source
[INFO] started tweaking crates.io crate tflite 0.9.8
[INFO] finished tweaking crates.io crate tflite 0.9.8
[INFO] tweaked toml for crates.io crate tflite 0.9.8 written to /workspace/builds/worker-4-tc1/source/Cargo.toml
[INFO] validating manifest of crates.io crate tflite 0.9.8 on toolchain 1.91.0
[INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+1.91.0" "metadata" "--manifest-path" "Cargo.toml" "--no-deps", kill_on_drop: false }`
[INFO] crate crates.io crate tflite 0.9.8 already has a lockfile, it will not be regenerated
[INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+1.91.0" "fetch" "--manifest-path" "Cargo.toml", kill_on_drop: false }`
[INFO] [stderr]     Updating crates.io index
[INFO] [stderr]  Downloading crates ...
[INFO] [stderr]   Downloaded cpp v0.5.9
[INFO] [stderr]   Downloaded bart_derive v0.1.6
[INFO] [stderr]   Downloaded libloading v0.8.4
[INFO] [stderr]   Downloaded bart v0.1.6
[INFO] [stderr]   Downloaded either v1.12.0
[INFO] [stderr]   Downloaded cpp_build v0.5.9
[INFO] [stderr]   Downloaded num v0.1.42
[INFO] [stderr]   Downloaded cpp_macros v0.5.9
[INFO] [stderr]   Downloaded itertools v0.6.5
[INFO] [stderr]   Downloaded nom v2.2.1
[INFO] [stderr]   Downloaded cc v1.0.100
[INFO] [stderr]   Downloaded syn v2.0.68
[INFO] [stderr]   Downloaded cpp_common v0.5.9
[INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-4-tc1/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-4-tc1/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@sha256:4848fb76d95f26979359cc7e45710b1dbc8f3acb7aeedee7c460d7702230f228" "/opt/rustwide/cargo-home/bin/cargo" "+1.91.0" "metadata" "--no-deps" "--format-version=1", kill_on_drop: false }`
[INFO] [stdout] a9ad0f083745b8db3ee242161c1b355fad806ec2465bbe0e8bdc7cf525ba0b8c
[INFO] running `Command { std: "docker" "start" "-a" "a9ad0f083745b8db3ee242161c1b355fad806ec2465bbe0e8bdc7cf525ba0b8c", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "inspect" "a9ad0f083745b8db3ee242161c1b355fad806ec2465bbe0e8bdc7cf525ba0b8c", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "a9ad0f083745b8db3ee242161c1b355fad806ec2465bbe0e8bdc7cf525ba0b8c", kill_on_drop: false }`
[INFO] [stdout] a9ad0f083745b8db3ee242161c1b355fad806ec2465bbe0e8bdc7cf525ba0b8c
[INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-4-tc1/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-4-tc1/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" "RUSTDOCFLAGS=--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@sha256:4848fb76d95f26979359cc7e45710b1dbc8f3acb7aeedee7c460d7702230f228" "/opt/rustwide/cargo-home/bin/cargo" "+1.91.0" "build" "--frozen" "--message-format=json", kill_on_drop: false }`
[INFO] [stdout] 8c93ed07e7b299899e9090bf210dcae8d188712c1784ca2fd53bcd5820ec3712
[INFO] running `Command { std: "docker" "start" "-a" "8c93ed07e7b299899e9090bf210dcae8d188712c1784ca2fd53bcd5820ec3712", kill_on_drop: false }`
[INFO] [stderr]    Compiling proc-macro2 v1.0.86
[INFO] [stderr]    Compiling memchr v2.7.4
[INFO] [stderr]    Compiling lazy_static v1.5.0
[INFO] [stderr]    Compiling glob v0.3.1
[INFO] [stderr]    Compiling prettyplease v0.2.20
[INFO] [stderr]    Compiling rustix v0.38.34
[INFO] [stderr]    Compiling libc v0.2.155
[INFO] [stderr]    Compiling regex-syntax v0.8.4
[INFO] [stderr]    Compiling bitflags v2.5.0
[INFO] [stderr]    Compiling either v1.12.0
[INFO] [stderr]    Compiling linux-raw-sys v0.4.14
[INFO] [stderr]    Compiling cfg-if v1.0.0
[INFO] [stderr]    Compiling minimal-lexical v0.2.1
[INFO] [stderr]    Compiling home v0.5.9
[INFO] [stderr]    Compiling bindgen v0.69.4
[INFO] [stderr]    Compiling rustc-hash v1.1.0
[INFO] [stderr]    Compiling cc v1.0.100
[INFO] [stderr]    Compiling unicode-xid v0.2.4
[INFO] [stderr]    Compiling libloading v0.8.4
[INFO] [stderr]    Compiling log v0.4.21
[INFO] [stderr]    Compiling lazycell v1.3.0
[INFO] [stderr]    Compiling thiserror v1.0.61
[INFO] [stderr]    Compiling itertools v0.12.1
[INFO] [stderr]    Compiling fs_extra v1.3.0
[INFO] [stderr]    Compiling byteorder v1.5.0
[INFO] [stderr]    Compiling maybe-owned v0.3.4
[INFO] [stderr]    Compiling aho-corasick v1.1.3
[INFO] [stderr]    Compiling nom v7.1.3
[INFO] [stderr]    Compiling clang-sys v1.8.1
[INFO] [stderr]    Compiling quote v1.0.36
[INFO] [stderr]    Compiling syn v2.0.68
[INFO] [stderr]    Compiling regex-automata v0.4.7
[INFO] [stderr]    Compiling which v4.4.2
[INFO] [stderr]    Compiling cexpr v0.6.0
[INFO] [stderr]    Compiling regex v1.10.5
[INFO] [stderr]    Compiling cpp_common v0.5.9
[INFO] [stderr]    Compiling cpp_build v0.5.9
[INFO] [stderr]    Compiling cpp_macros v0.5.9
[INFO] [stderr]    Compiling thiserror-impl v1.0.61
[INFO] [stderr]    Compiling cpp v0.5.9
[INFO] [stderr]    Compiling tflite v0.9.8 (/opt/rustwide/workdir)
[INFO] [stderr] error: failed to run custom build command for `tflite v0.9.8 (/opt/rustwide/workdir)`
[INFO] [stderr] note: To improve backtraces for build dependencies, set the CARGO_PROFILE_DEV_BUILD_OVERRIDE_DEBUG=true environment variable to enable debug information generation.
[INFO] [stderr] 
[INFO] [stderr] Caused by:
[INFO] [stderr]   process didn't exit successfully: `/opt/rustwide/target/debug/build/tflite-4dc8c1ec27f2a3a9/build-script-build` (signal: 9, SIGKILL: kill)
[INFO] [stderr]   --- stdout
[INFO] [stderr]   TARGET = Some(x86_64-unknown-linux-gnu)
[INFO] [stderr]   HOST = Some(x86_64-unknown-linux-gnu)
[INFO] [stderr]   cargo:rerun-if-env-changed=CXX_x86_64-unknown-linux-gnu
[INFO] [stderr]   CXX_x86_64-unknown-linux-gnu = None
[INFO] [stderr]   cargo:rerun-if-env-changed=CXX_x86_64_unknown_linux_gnu
[INFO] [stderr]   CXX_x86_64_unknown_linux_gnu = None
[INFO] [stderr]   cargo:rerun-if-env-changed=HOST_CXX
[INFO] [stderr]   HOST_CXX = None
[INFO] [stderr]   cargo:rerun-if-env-changed=CXX
[INFO] [stderr]   CXX = None
[INFO] [stderr]   cargo:rerun-if-env-changed=CC_ENABLE_DEBUG_OUTPUT
[INFO] [stderr]   cargo:rerun-if-env-changed=CRATE_CC_NO_DEFAULTS
[INFO] [stderr]   CRATE_CC_NO_DEFAULTS = None
[INFO] [stderr]   CARGO_CFG_TARGET_FEATURE = Some(fxsr,sse,sse2)
[INFO] [stderr]   cargo:rerun-if-env-changed=CXXFLAGS_x86_64-unknown-linux-gnu
[INFO] [stderr]   CXXFLAGS_x86_64-unknown-linux-gnu = None
[INFO] [stderr]   cargo:rerun-if-env-changed=CXXFLAGS_x86_64_unknown_linux_gnu
[INFO] [stderr]   CXXFLAGS_x86_64_unknown_linux_gnu = None
[INFO] [stderr]   cargo:rerun-if-env-changed=HOST_CXXFLAGS
[INFO] [stderr]   HOST_CXXFLAGS = None
[INFO] [stderr]   cargo:rerun-if-env-changed=CXXFLAGS
[INFO] [stderr]   CXXFLAGS = None
[INFO] [stderr]   cargo:rerun-if-env-changed=AR_x86_64-unknown-linux-gnu
[INFO] [stderr]   AR_x86_64-unknown-linux-gnu = None
[INFO] [stderr]   cargo:rerun-if-env-changed=AR_x86_64_unknown_linux_gnu
[INFO] [stderr]   AR_x86_64_unknown_linux_gnu = None
[INFO] [stderr]   cargo:rerun-if-env-changed=HOST_AR
[INFO] [stderr]   HOST_AR = None
[INFO] [stderr]   cargo:rerun-if-env-changed=AR
[INFO] [stderr]   AR = None
[INFO] [stderr]   cargo:rerun-if-env-changed=ARFLAGS_x86_64-unknown-linux-gnu
[INFO] [stderr]   ARFLAGS_x86_64-unknown-linux-gnu = None
[INFO] [stderr]   cargo:rerun-if-env-changed=ARFLAGS_x86_64_unknown_linux_gnu
[INFO] [stderr]   ARFLAGS_x86_64_unknown_linux_gnu = None
[INFO] [stderr]   cargo:rerun-if-env-changed=HOST_ARFLAGS
[INFO] [stderr]   HOST_ARFLAGS = None
[INFO] [stderr]   cargo:rerun-if-env-changed=ARFLAGS
[INFO] [stderr]   ARFLAGS = None
[INFO] [stderr]   cargo:rustc-link-lib=static=rust_cpp_generated
[INFO] [stderr]   cargo:rustc-link-search=native=/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out
[INFO] [stderr]   cargo:rerun-if-env-changed=CXXSTDLIB_x86_64-unknown-linux-gnu
[INFO] [stderr]   CXXSTDLIB_x86_64-unknown-linux-gnu = None
[INFO] [stderr]   cargo:rerun-if-env-changed=CXXSTDLIB_x86_64_unknown_linux_gnu
[INFO] [stderr]   CXXSTDLIB_x86_64_unknown_linux_gnu = None
[INFO] [stderr]   cargo:rerun-if-env-changed=HOST_CXXSTDLIB
[INFO] [stderr]   HOST_CXXSTDLIB = None
[INFO] [stderr]   cargo:rerun-if-env-changed=CXXSTDLIB
[INFO] [stderr]   CXXSTDLIB = None
[INFO] [stderr]   cargo:rustc-link-lib=stdc++
[INFO] [stderr]   Moving tflite source
[INFO] [stderr]   Moving source took 458.560071ms
[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]   cargo:rerun-if-env-changed=TFLITE_RS_MAKE_EXTRA_CXXFLAGS
[INFO] [stderr]   g++ -O3 -DNDEBUG -fPIC --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/conv.o
[INFO] [stderr] 
[INFO] [stderr]   --- stderr
[INFO] [stderr]   error: 'rustfmt' is not installed for the toolchain '1.91.0-x86_64-unknown-linux-gnu'.
[INFO] [stderr]   To install, run `rustup component add --toolchain 1.91.0-x86_64-unknown-linux-gnu rustfmt`
[INFO] [stderr]   Failed to run rustfmt: Internal rustfmt error (non-fatal, continuing)
[INFO] [stderr]   error: 'rustfmt' is not installed for the toolchain '1.91.0-x86_64-unknown-linux-gnu'.
[INFO] [stderr]   To install, run `rustup component add --toolchain 1.91.0-x86_64-unknown-linux-gnu rustfmt`
[INFO] [stderr]   Failed to run rustfmt: Internal rustfmt error (non-fatal, continuing)
[INFO] [stderr]   make command = cd "/opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow" && "make" "-j" "16" "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-7040d665dd49edc6/out/tensorflow"
[INFO] [stderr]   tensorflow/lite/allocation.cc: In constructor 'tflite::FileCopyAllocation::FileCopyAllocation(const char*, tflite::ErrorReporter*)':
[INFO] [stderr]   tensorflow/lite/allocation.cc:39:42: warning: ignoring attributes on template argument 'int (*)(FILE*)' [-Wignored-attributes]
[INFO] [stderr]      39 |   std::unique_ptr<FILE, decltype(&fclose)> file(fopen(filename, "rb"), fclose);
[INFO] [stderr]         |                                          ^
[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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/add.o] Error 1
[INFO] [stderr]   make: *** Waiting for unfinished jobs....
[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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/core/api/flatbuffer_conversions.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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/batch_to_space_nd.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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/audio_spectrogram.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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/activations.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; 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-7040d665dd49edc6/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>; 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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:876:25:   required from 'void EigenForTFLite::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, 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>; Scalar = float; Index = long int]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:782:52:   required from 'void EigenForTFLite::TensorContractionEvaluatorBase<Derived>::evalGemm(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>; Scalar = float]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:710:66:   required from 'void EigenForTFLite::TensorContractionEvaluatorBase<Derived>::evalProductSequential(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>; Scalar = float]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/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(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; Scalar = float]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:175:39:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(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; EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:148:44:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(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; EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:358:61:   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-7040d665dd49edc6/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:166:15:   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 '__m128'} [-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 '__m128'} [-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 '__m128'} [-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 = std::enable_if<true, __vector(4) float>::type]':
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:759:79:   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; Packet = __m128]'
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1175:54:   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; 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-7040d665dd49edc6/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>; 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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:876:25:   required from 'void EigenForTFLite::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, 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>; Scalar = float; Index = long int]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:782:52:   required from 'void EigenForTFLite::TensorContractionEvaluatorBase<Derived>::evalGemm(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>; Scalar = float]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:710:66:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:175:39:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(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; EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:148:44:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(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; EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:358:61:   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-7040d665dd49edc6/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:166:15:   required from here
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:485:65: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type' {aka '__m128'} [-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; 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-7040d665dd49edc6/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>; 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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:731:24:   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-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:175:39:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(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; EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:148:44:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(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; EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:358:61:   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-7040d665dd49edc6/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:166:15:   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 '__m128'} [-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 '__m128'} [-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 '__m128'} [-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; 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-7040d665dd49edc6/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>; 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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:731:24:   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-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:175:39:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(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; EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:148:44:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(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; EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:358:61:   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-7040d665dd49edc6/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:166:15:   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 '__m128'} [-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 '__m128'} [-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 '__m128'} [-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; 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-7040d665dd49edc6/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>; 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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:731:24:   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-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:175:39:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(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; EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:148:44:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(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; EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:358:61:   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-7040d665dd49edc6/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:166:15:   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 '__m128'} [-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 '__m128'} [-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 '__m128'} [-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; Packet = __m128]':
[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 = std::enable_if<true, __vector(4) float>::type]'
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:759:79:   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; Packet = __m128]'
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1175:54:   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; 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-7040d665dd49edc6/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>; 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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:876:25:   required from 'void EigenForTFLite::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, 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>; Scalar = float; Index = long int]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:782:52:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:175:39:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(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; EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:148:44:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(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; EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:358:61:   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-7040d665dd49edc6/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:166:15:   required from here
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:572:65: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type' {aka '__m128'} [-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; Packet = __m128]':
[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 = std::enable_if<true, __vector(4) float>::type]'
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:759:79:   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; Packet = __m128]'
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1175:54:   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; 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-7040d665dd49edc6/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>; 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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:876:25:   required from 'void EigenForTFLite::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, 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>; Scalar = float; Index = long int]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:782:52:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:175:39:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(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; EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:148:44:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(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; EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:358:61:   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-7040d665dd49edc6/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:166:15:   required from here
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:600:63: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type' {aka '__m128'} [-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 = std::enable_if<true, __vector(4) float>::type]':
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:759:79:   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; Packet = __m128]'
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1175:54:   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; 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-7040d665dd49edc6/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>; 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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:731:24:   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-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:175:39:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(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; EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:148:44:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(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; EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:358:61:   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-7040d665dd49edc6/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:166:15:   required from here
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:485:65: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type' {aka '__m128'} [-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 = std::enable_if<true, __vector(4) float>::type]':
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:759:79:   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; Packet = __m128]'
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1175:54:   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; 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-7040d665dd49edc6/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>; 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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:731:24:   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-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:175:39:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(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; EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:148:44:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(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; EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:358:61:   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-7040d665dd49edc6/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:166:15:   required from here
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:485:65: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type' {aka '__m128'} [-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 = std::enable_if<true, __vector(4) float>::type]':
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:759:79:   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; Packet = __m128]'
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1175:54:   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; 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-7040d665dd49edc6/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>; 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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:731:24:   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-7040d665dd49edc6/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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:175:39:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(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; EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:148:44:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(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; EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:358:61:   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-7040d665dd49edc6/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:166:15:   required from here
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:485:65: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type' {aka '__m128'} [-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; Packet = __m128]':
[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 = std::enable_if<true, __vector(4) float>::type]'
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:759:79:   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; Packet = __m128]'
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1175:54:   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; 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-7040d665dd49edc6/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>; 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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:731:24:   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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:175:39:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(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; EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:148:44:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(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; EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:358:61:   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-7040d665dd49edc6/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:166:15:   required from here
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:572:65: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type' {aka '__m128'} [-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; Packet = __m128]':
[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 = std::enable_if<true, __vector(4) float>::type]'
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:759:79:   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; Packet = __m128]'
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1175:54:   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; 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-7040d665dd49edc6/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>; 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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:731:24:   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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:175:39:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(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; EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:148:44:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(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; EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:358:61:   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-7040d665dd49edc6/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:166:15:   required from here
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:600:63: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type' {aka '__m128'} [-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; Packet = __m128]':
[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 = std::enable_if<true, __vector(4) float>::type]'
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:759:79:   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; Packet = __m128]'
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1175:54:   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; 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-7040d665dd49edc6/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>; 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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:731:24:   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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:175:39:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(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; EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:148:44:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(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; EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:358:61:   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-7040d665dd49edc6/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:166:15:   required from here
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:572:65: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type' {aka '__m128'} [-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; Packet = __m128]':
[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 = std::enable_if<true, __vector(4) float>::type]'
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:759:79:   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; Packet = __m128]'
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1175:54:   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; 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-7040d665dd49edc6/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>; 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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:731:24:   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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:175:39:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(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; EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:148:44:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(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; EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:358:61:   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-7040d665dd49edc6/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:166:15:   required from here
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:600:63: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type' {aka '__m128'} [-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; Packet = __m128]':
[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 = std::enable_if<true, __vector(4) float>::type]'
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:759:79:   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; Packet = __m128]'
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1175:54:   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; 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-7040d665dd49edc6/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>; 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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:731:24:   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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:175:39:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(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; EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:148:44:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(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; EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:358:61:   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-7040d665dd49edc6/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:166:15:   required from here
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:572:65: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type' {aka '__m128'} [-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; Packet = __m128]':
[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 = std::enable_if<true, __vector(4) float>::type]'
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:759:79:   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; Packet = __m128]'
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1175:54:   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; 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-7040d665dd49edc6/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>; 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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:731:24:   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-7040d665dd49edc6/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-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:175:39:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(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; EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:148:44:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(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; EvaluatorPointerType = float*]'
[INFO] [stderr]   /opt/rustwide/target/debug/build/tflite-7040d665dd49edc6/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:358:61:   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-7040d665dd49edc6/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:166:15:   required from here
[INFO] [stderr]   ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:600:63: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
[INFO] [stderr]     600 |     const int packetSize = internal::unpacket_traits<Packet>::size;
[INFO] [stderr]         |                                                               ^~~~
[INFO] running `Command { std: "docker" "inspect" "8c93ed07e7b299899e9090bf210dcae8d188712c1784ca2fd53bcd5820ec3712", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "8c93ed07e7b299899e9090bf210dcae8d188712c1784ca2fd53bcd5820ec3712", kill_on_drop: false }`
[INFO] [stdout] 8c93ed07e7b299899e9090bf210dcae8d188712c1784ca2fd53bcd5820ec3712
