[INFO] crate tflite 0.8.2 is already in cache
[INFO] checking tflite-0.8.2 against master#bf1f2eedda4fa02b7c9347dd849ed73ddd43dedc for pr-70917
[INFO] extracting crate tflite 0.8.2 into /workspace/builds/worker-7/source
[INFO] validating manifest of crates.io crate tflite 0.8.2 on toolchain bf1f2eedda4fa02b7c9347dd849ed73ddd43dedc
[INFO] running `"/workspace/cargo-home/bin/cargo" "+bf1f2eedda4fa02b7c9347dd849ed73ddd43dedc" "read-manifest" "--manifest-path" "Cargo.toml"`
[INFO] started tweaking crates.io crate tflite 0.8.2
[INFO] finished tweaking crates.io crate tflite 0.8.2
[INFO] tweaked toml for crates.io crate tflite 0.8.2 written to /workspace/builds/worker-7/source/Cargo.toml
[INFO] running `"/workspace/cargo-home/bin/cargo" "+bf1f2eedda4fa02b7c9347dd849ed73ddd43dedc" "generate-lockfile" "--manifest-path" "Cargo.toml" "-Zno-index-update"`
[INFO] running `"/workspace/cargo-home/bin/cargo" "+bf1f2eedda4fa02b7c9347dd849ed73ddd43dedc" "fetch" "--locked" "--manifest-path" "Cargo.toml"`
[INFO] running `"docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-7/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-7/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" "MAP_USER_ID=0" "-e" "CARGO_TARGET_DIR=/opt/rustwide/target" "-e" "CARGO_INCREMENTAL=0" "-e" "RUST_BACKTRACE=full" "-e" "RUSTFLAGS=--cap-lints=forbid" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-w" "/opt/rustwide/workdir" "-m" "1610612736" "--network" "none" "rustops/crates-build-env" "/opt/rustwide/cargo-home/bin/cargo" "+bf1f2eedda4fa02b7c9347dd849ed73ddd43dedc" "check" "--frozen" "--all" "--all-targets"`
[INFO] [stderr] WARNING: Your kernel does not support swap limit capabilities or the cgroup is not mounted. Memory limited without swap.
[INFO] [stdout] 3ce2b150f8026da7023ae054d63ebe6c2bbf1beb7cf6dd4bbf9ad5ddfdb455a5
[INFO] running `"docker" "start" "-a" "3ce2b150f8026da7023ae054d63ebe6c2bbf1beb7cf6dd4bbf9ad5ddfdb455a5"`
[INFO] [stderr]    Compiling if_rust_version v1.0.0
[INFO] [stderr]     Checking maybe-owned v0.3.2
[INFO] [stderr]    Compiling cpp_common v0.5.4
[INFO] [stderr]    Compiling bindgen v0.53.2
[INFO] [stderr]    Compiling cpp_build v0.5.4
[INFO] [stderr]    Compiling cpp_macros v0.5.4
[INFO] [stderr]     Checking cpp v0.5.4
[INFO] [stderr]    Compiling tflite v0.8.2 (/opt/rustwide/workdir)
[INFO] [stderr] error: failed to run custom build command for `tflite v0.8.2 (/opt/rustwide/workdir)`
[INFO] [stderr] 
[INFO] [stderr] Caused by:
[INFO] [stderr]   process didn't exit successfully: `/opt/rustwide/target/debug/build/tflite-ea24305e829e72ed/build-script-build` (exit code: 101)
[INFO] [stderr] --- stdout
[INFO] [stderr] TARGET = Some("x86_64-unknown-linux-gnu")
[INFO] [stderr] HOST = Some("x86_64-unknown-linux-gnu")
[INFO] [stderr] CXX_x86_64-unknown-linux-gnu = None
[INFO] [stderr] CXX_x86_64_unknown_linux_gnu = None
[INFO] [stderr] HOST_CXX = None
[INFO] [stderr] CXX = None
[INFO] [stderr] CXXFLAGS_x86_64-unknown-linux-gnu = None
[INFO] [stderr] CXXFLAGS_x86_64_unknown_linux_gnu = None
[INFO] [stderr] HOST_CXXFLAGS = None
[INFO] [stderr] CXXFLAGS = None
[INFO] [stderr] CRATE_CC_NO_DEFAULTS = None
[INFO] [stderr] CARGO_CFG_TARGET_FEATURE = Some("fxsr,mmx,sse,sse2")
[INFO] [stderr] running: "c++" "-O0" "-ffunction-sections" "-fdata-sections" "-fPIC" "-g" "-fno-omit-frame-pointer" "-m64" "-I" "/opt/rustwide/workdir" "-I" "/opt/rustwide/workdir/submodules/tensorflow" "-I" "/opt/rustwide/workdir/submodules/downloads/flatbuffers/include" "-Wall" "-Wextra" "-fPIC" "-std=c++14" "-Wno-sign-compare" "-DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK" "-o" "/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/rust_cpp/cpp_closures.o" "-c" "/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/rust_cpp/cpp_closures.cpp"
[INFO] [stderr] exit code: 0
[INFO] [stderr] AR_x86_64-unknown-linux-gnu = None
[INFO] [stderr] AR_x86_64_unknown_linux_gnu = None
[INFO] [stderr] HOST_AR = None
[INFO] [stderr] AR = None
[INFO] [stderr] running: "ar" "crs" "/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/librust_cpp_generated.a" "/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/rust_cpp/cpp_closures.o"
[INFO] [stderr] exit code: 0
[INFO] [stderr] cargo:rustc-link-lib=static=rust_cpp_generated
[INFO] [stderr] cargo:rustc-link-search=native=/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out
[INFO] [stderr] CXXSTDLIB_x86_64-unknown-linux-gnu = None
[INFO] [stderr] CXXSTDLIB_x86_64_unknown_linux_gnu = None
[INFO] [stderr] HOST_CXXSTDLIB = None
[INFO] [stderr] CXXSTDLIB = None
[INFO] [stderr] cargo:rustc-link-lib=stdc++
[INFO] [stderr] Moving tflite source
[INFO] [stderr] Moving source took 1.600974013s
[INFO] [stderr] Building tflite
[INFO] [stderr] g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/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-34eb6384c3db8922/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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/arena_planner.o
[INFO] [stderr] gcc -O3 -DNDEBUG -fPIC  -I. -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/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-34eb6384c3db8922/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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/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-34eb6384c3db8922/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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/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-34eb6384c3db8922/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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/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-34eb6384c3db8922/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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/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-34eb6384c3db8922/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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/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-34eb6384c3db8922/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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/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-34eb6384c3db8922/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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/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-34eb6384c3db8922/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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/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-34eb6384c3db8922/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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/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-34eb6384c3db8922/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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/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-34eb6384c3db8922/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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/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-34eb6384c3db8922/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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/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-34eb6384c3db8922/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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/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-34eb6384c3db8922/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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/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-34eb6384c3db8922/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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/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-34eb6384c3db8922/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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/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-34eb6384c3db8922/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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/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-34eb6384c3db8922/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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/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-34eb6384c3db8922/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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/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-34eb6384c3db8922/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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/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-34eb6384c3db8922/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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/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-34eb6384c3db8922/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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/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-34eb6384c3db8922/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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/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-34eb6384c3db8922/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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/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-34eb6384c3db8922/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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/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-34eb6384c3db8922/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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/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-34eb6384c3db8922/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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/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-34eb6384c3db8922/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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/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-34eb6384c3db8922/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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/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-34eb6384c3db8922/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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/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-34eb6384c3db8922/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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/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-34eb6384c3db8922/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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/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-34eb6384c3db8922/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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/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-34eb6384c3db8922/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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/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-34eb6384c3db8922/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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/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-34eb6384c3db8922/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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/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-34eb6384c3db8922/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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/conv.o
[INFO] [stderr] g++ -O3 -DNDEBUG -fPIC  --std=c++11 -fPIC -DGEMMLOWP_ALLOW_SLOW_SCALAR_FALLBACK -pthread -I. -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/../../../../../../ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/ -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/absl -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/gemmlowp -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/neon_2_sse -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/farmhash/src -I/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/flatbuffers/include -I -I/usr/local/include -c tensorflow/lite/kernels/cpu_backend_context.cc -o /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/cpu_backend_context.o
[INFO] [stderr] tensorflow/lite/tools/make/Makefile:244: recipe for target '/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/core/api/flatbuffer_conversions.o' failed
[INFO] [stderr] tensorflow/lite/tools/make/Makefile:244: recipe for target '/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/activations.o' failed
[INFO] [stderr] tensorflow/lite/tools/make/Makefile:244: recipe for target '/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/add.o' failed
[INFO] [stderr] tensorflow/lite/tools/make/Makefile:244: recipe for target '/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/core/subgraph.o' failed
[INFO] [stderr] tensorflow/lite/tools/make/Makefile:244: recipe for target '/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/add_n.o' failed
[INFO] [stderr] tensorflow/lite/tools/make/Makefile:244: recipe for target '/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/interpreter.o' failed
[INFO] [stderr] tensorflow/lite/tools/make/Makefile:244: recipe for target '/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/audio_spectrogram.o' failed
[INFO] [stderr] tensorflow/lite/tools/make/Makefile:244: recipe for target '/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/arg_min_max.o' failed
[INFO] [stderr] tensorflow/lite/tools/make/Makefile:244: recipe for target '/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/cast.o' failed
[INFO] [stderr] tensorflow/lite/tools/make/Makefile:244: recipe for target '/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/ceil.o' failed
[INFO] [stderr] 
[INFO] [stderr] --- stderr
[INFO] [stderr] error: 'rustfmt' is not installed for the toolchain 'bf1f2eedda4fa02b7c9347dd849ed73ddd43dedc'
[INFO] [stderr] To install, run `rustup component add rustfmt --toolchain bf1f2eedda4fa02b7c9347dd849ed73ddd43dedc`
[INFO] [stderr] Failed to run rustfmt: Internal rustfmt error (non-fatal, continuing)
[INFO] [stderr] error: 'rustfmt' is not installed for the toolchain 'bf1f2eedda4fa02b7c9347dd849ed73ddd43dedc'
[INFO] [stderr] To install, run `rustup component add rustfmt --toolchain bf1f2eedda4fa02b7c9347dd849ed73ddd43dedc`
[INFO] [stderr] Failed to run rustfmt: Internal rustfmt error (non-fatal, continuing)
[INFO] [stderr] make command = "make" "TARGET=linux" "TARGET_ARCH=x86_64" "-j" "16" "BUILD_WITH_NNAPI=false" "-f" "tensorflow/lite/tools/make/Makefile" "micro" in dir  "/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow"
[INFO] [stderr] g++: internal compiler error: Killed (program cc1plus)
[INFO] [stderr] Please submit a full bug report,
[INFO] [stderr] with preprocessed source if appropriate.
[INFO] [stderr] See <file:///usr/share/doc/gcc-7/README.Bugs> for instructions.
[INFO] [stderr] make: *** [/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/core/api/flatbuffer_conversions.o] Error 4
[INFO] [stderr] make: *** Waiting for unfinished jobs....
[INFO] [stderr] g++: internal compiler error: Killed (program cc1plus)
[INFO] [stderr] Please submit a full bug report,
[INFO] [stderr] with preprocessed source if appropriate.
[INFO] [stderr] See <file:///usr/share/doc/gcc-7/README.Bugs> for instructions.
[INFO] [stderr] make: *** [/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/activations.o] Error 4
[INFO] [stderr] g++: internal compiler error: Killed (program cc1plus)
[INFO] [stderr] Please submit a full bug report,
[INFO] [stderr] with preprocessed source if appropriate.
[INFO] [stderr] See <file:///usr/share/doc/gcc-7/README.Bugs> for instructions.
[INFO] [stderr] make: *** [/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/add.o] Error 4
[INFO] [stderr] g++: internal compiler error: Killed (program cc1plus)
[INFO] [stderr] Please submit a full bug report,
[INFO] [stderr] with preprocessed source if appropriate.
[INFO] [stderr] See <file:///usr/share/doc/gcc-7/README.Bugs> for instructions.
[INFO] [stderr] make: *** [/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/core/subgraph.o] Error 4
[INFO] [stderr] g++: internal compiler error: Killed (program cc1plus)
[INFO] [stderr] Please submit a full bug report,
[INFO] [stderr] with preprocessed source if appropriate.
[INFO] [stderr] See <file:///usr/share/doc/gcc-7/README.Bugs> for instructions.
[INFO] [stderr] make: *** [/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/add_n.o] Error 4
[INFO] [stderr] g++: internal compiler error: Killed (program cc1plus)
[INFO] [stderr] Please submit a full bug report,
[INFO] [stderr] with preprocessed source if appropriate.
[INFO] [stderr] See <file:///usr/share/doc/gcc-7/README.Bugs> for instructions.
[INFO] [stderr] make: *** [/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/interpreter.o] Error 4
[INFO] [stderr] g++: internal compiler error: Killed (program cc1plus)
[INFO] [stderr] Please submit a full bug report,
[INFO] [stderr] with preprocessed source if appropriate.
[INFO] [stderr] See <file:///usr/share/doc/gcc-7/README.Bugs> for instructions.
[INFO] [stderr] make: *** [/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/audio_spectrogram.o] Error 4
[INFO] [stderr] g++: internal compiler error: Killed (program cc1plus)
[INFO] [stderr] Please submit a full bug report,
[INFO] [stderr] with preprocessed source if appropriate.
[INFO] [stderr] See <file:///usr/share/doc/gcc-7/README.Bugs> for instructions.
[INFO] [stderr] make: *** [/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/arg_min_max.o] Error 4
[INFO] [stderr] g++: internal compiler error: Killed (program cc1plus)
[INFO] [stderr] Please submit a full bug report,
[INFO] [stderr] with preprocessed source if appropriate.
[INFO] [stderr] See <file:///usr/share/doc/gcc-7/README.Bugs> for instructions.
[INFO] [stderr] make: *** [/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/cast.o] Error 4
[INFO] [stderr] g++: internal compiler error: Killed (program cc1plus)
[INFO] [stderr] Please submit a full bug report,
[INFO] [stderr] with preprocessed source if appropriate.
[INFO] [stderr] See <file:///usr/share/doc/gcc-7/README.Bugs> for instructions.
[INFO] [stderr] make: *** [/opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/gen/linux_x86_64/obj/tensorflow/lite/kernels/ceil.o] Error 4
[INFO] [stderr] In file included from ./tensorflow/lite/kernels/internal/optimized/eigen_spatial_convolutions.h:39:0,
[INFO] [stderr]                  from ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:31,
[INFO] [stderr]                  from tensorflow/lite/kernels/conv.cc:31:
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of 'void EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>]':
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:244:16:   required from 'void EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper<float, long int, 0, 0, 1>; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 1, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:876:11:   required from 'void EigenForTFLite::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Scalar*, EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Index, EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>; EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Scalar = float; EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Index = long int]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:779:5:   required from 'void EigenForTFLite::TensorContractionEvaluatorBase<Derived>::evalGemm(EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>; EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Scalar = float]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:709:7:   required from 'void EigenForTFLite::TensorContractionEvaluatorBase<Derived>::evalProductSequential(EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>; EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Scalar = float]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7:   required from 'void EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::evalProductImpl(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Scalar*, DoneCallback) const [with DoneCallback = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<EigenForTFLite::IndexPair<long int>, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Scalar = float]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:175:44:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes<long int, 4>; ArgType = const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:148:62:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:358:16:   required from 'static void EigenForTFLite::internal::TensorExecutor<Expression, EigenForTFLite::ThreadPoolDevice, Vectorizable, Tileable>::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp<EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; bool Tileable = false]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62:   required from 'EigenForTFLite::TensorDevice<ExpressionType, DeviceType>& EigenForTFLite::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]'
[INFO] [stderr] ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29:   required from 'void tflite::multithreaded_ops::EigenTensorConvFunctor<T>::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]'
[INFO] [stderr] ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:169:65:   required from here
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1109:40: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type {aka __vector(4) float}' [-Wignored-attributes]
[INFO] [stderr]                  PacketBlock<Packet, 4> kernel;
[INFO] [stderr]                                         ^~~~~~
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1149:40: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type {aka __vector(4) float}' [-Wignored-attributes]
[INFO] [stderr]                  PacketBlock<Packet, 4> kernel;
[INFO] [stderr]                                         ^~~~~~
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1174:36: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type {aka __vector(4) float}' [-Wignored-attributes]
[INFO] [stderr]              PacketBlock<Packet, 4> kernel;
[INFO] [stderr]                                     ^~~~~~
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of 'typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type = __vector(4) float]':
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:760:65:   required from 'EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]'
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1175:30:   required from 'void EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:244:16:   required from 'void EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper<float, long int, 0, 0, 1>; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 1, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:876:11:   required from 'void EigenForTFLite::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Scalar*, EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Index, EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>; EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Scalar = float; EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Index = long int]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:779:5:   required from 'void EigenForTFLite::TensorContractionEvaluatorBase<Derived>::evalGemm(EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>; EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Scalar = float]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:709:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:175:44:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes<long int, 4>; ArgType = const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:148:62:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:358:16:   required from 'static void EigenForTFLite::internal::TensorExecutor<Expression, EigenForTFLite::ThreadPoolDevice, Vectorizable, Tileable>::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp<EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; bool Tileable = false]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62:   required from 'EigenForTFLite::TensorDevice<ExpressionType, DeviceType>& EigenForTFLite::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]'
[INFO] [stderr] ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29:   required from 'void tflite::multithreaded_ops::EigenTensorConvFunctor<T>::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]'
[INFO] [stderr] ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:169:65:   required from here
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:485:17: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type {aka __vector(4) float}' [-Wignored-attributes]
[INFO] [stderr]      const Index packetSize = internal::unpacket_traits<Packet>::size;
[INFO] [stderr]                  ^~~~~~~~~~
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of 'void EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, true, 0, EigenForTFLite::MakePointer>]':
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:244:16:   required from 'void EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper<float, long int, 0, 0, 1>; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 1, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, true, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, true, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:731:9:   required from 'void EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext<DoneCallback, lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>::pack_rhs(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array<EigenForTFLite::IndexPair<long int>, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index = long int]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:862:19:   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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:856:29:   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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:833:26:   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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:496:20:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:175:44:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes<long int, 4>; ArgType = const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:148:62:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:358:16:   required from 'static void EigenForTFLite::internal::TensorExecutor<Expression, EigenForTFLite::ThreadPoolDevice, Vectorizable, Tileable>::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp<EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; bool Tileable = false]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62:   required from 'EigenForTFLite::TensorDevice<ExpressionType, DeviceType>& EigenForTFLite::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]'
[INFO] [stderr] ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29:   required from 'void tflite::multithreaded_ops::EigenTensorConvFunctor<T>::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]'
[INFO] [stderr] ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:169:65:   required from here
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1109:40: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type {aka __vector(4) float}' [-Wignored-attributes]
[INFO] [stderr]                  PacketBlock<Packet, 4> kernel;
[INFO] [stderr]                                         ^~~~~~
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1149:40: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type {aka __vector(4) float}' [-Wignored-attributes]
[INFO] [stderr]                  PacketBlock<Packet, 4> kernel;
[INFO] [stderr]                                         ^~~~~~
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1174:36: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type {aka __vector(4) float}' [-Wignored-attributes]
[INFO] [stderr]              PacketBlock<Packet, 4> kernel;
[INFO] [stderr]                                     ^~~~~~
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of 'void EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, true, 0, EigenForTFLite::MakePointer>]':
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:244:16:   required from 'void EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper<float, long int, 0, 0, 1>; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 1, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, true, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, true, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:731:9:   required from 'void EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext<DoneCallback, lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>::pack_rhs(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array<EigenForTFLite::IndexPair<long int>, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index = long int]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:862:19:   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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:856:29:   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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:833:26:   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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:496:20:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:175:44:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes<long int, 4>; ArgType = const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:148:62:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:358:16:   required from 'static void EigenForTFLite::internal::TensorExecutor<Expression, EigenForTFLite::ThreadPoolDevice, Vectorizable, Tileable>::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp<EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; bool Tileable = false]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62:   required from 'EigenForTFLite::TensorDevice<ExpressionType, DeviceType>& EigenForTFLite::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]'
[INFO] [stderr] ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29:   required from 'void tflite::multithreaded_ops::EigenTensorConvFunctor<T>::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]'
[INFO] [stderr] ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:169:65:   required from here
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1109:40: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type {aka __vector(4) float}' [-Wignored-attributes]
[INFO] [stderr]                  PacketBlock<Packet, 4> kernel;
[INFO] [stderr]                                         ^~~~~~
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1149:40: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type {aka __vector(4) float}' [-Wignored-attributes]
[INFO] [stderr]                  PacketBlock<Packet, 4> kernel;
[INFO] [stderr]                                         ^~~~~~
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1174:36: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type {aka __vector(4) float}' [-Wignored-attributes]
[INFO] [stderr]              PacketBlock<Packet, 4> kernel;
[INFO] [stderr]                                     ^~~~~~
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of 'void EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, false, 0, EigenForTFLite::MakePointer>]':
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:244:16:   required from 'void EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper<float, long int, 0, 0, 1>; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 1, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, false, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, false, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:731:9:   required from 'void EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext<DoneCallback, lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>::pack_rhs(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const std::array<EigenForTFLite::IndexPair<long int>, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index = long int]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:862:19:   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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:856:29:   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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:833:26:   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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:496:20:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:175:44:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes<long int, 4>; ArgType = const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:148:62:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:358:16:   required from 'static void EigenForTFLite::internal::TensorExecutor<Expression, EigenForTFLite::ThreadPoolDevice, Vectorizable, Tileable>::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp<EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; bool Tileable = false]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62:   required from 'EigenForTFLite::TensorDevice<ExpressionType, DeviceType>& EigenForTFLite::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]'
[INFO] [stderr] ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29:   required from 'void tflite::multithreaded_ops::EigenTensorConvFunctor<T>::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]'
[INFO] [stderr] ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:169:65:   required from here
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1109:40: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type {aka __vector(4) float}' [-Wignored-attributes]
[INFO] [stderr]                  PacketBlock<Packet, 4> kernel;
[INFO] [stderr]                                         ^~~~~~
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1149:40: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type {aka __vector(4) float}' [-Wignored-attributes]
[INFO] [stderr]                  PacketBlock<Packet, 4> kernel;
[INFO] [stderr]                                         ^~~~~~
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1174:36: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type {aka __vector(4) float}' [-Wignored-attributes]
[INFO] [stderr]              PacketBlock<Packet, 4> kernel;
[INFO] [stderr]                                     ^~~~~~
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of 'EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]':
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:492:28:   required from 'typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type = __vector(4) float]'
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:760:65:   required from 'EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]'
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1175:30:   required from 'void EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:244:16:   required from 'void EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper<float, long int, 0, 0, 1>; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 1, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:876:11:   required from 'void EigenForTFLite::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Scalar*, EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Index, EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>; EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Scalar = float; EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Index = long int]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:779:5:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:175:44:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes<long int, 4>; ArgType = const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:148:62:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:358:16:   required from 'static void EigenForTFLite::internal::TensorExecutor<Expression, EigenForTFLite::ThreadPoolDevice, Vectorizable, Tileable>::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp<EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; bool Tileable = false]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62:   required from 'EigenForTFLite::TensorDevice<ExpressionType, DeviceType>& EigenForTFLite::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]'
[INFO] [stderr] ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29:   required from 'void tflite::multithreaded_ops::EigenTensorConvFunctor<T>::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]'
[INFO] [stderr] ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:169:65:   required from here
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:572:17: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type {aka __vector(4) float}' [-Wignored-attributes]
[INFO] [stderr]      const Index packetSize = internal::unpacket_traits<Packet>::size;
[INFO] [stderr]                  ^~~~~~~~~~
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of 'EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]':
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:513:34:   required from 'typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type = __vector(4) float]'
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:760:65:   required from 'EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]'
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1175:30:   required from 'void EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:244:16:   required from 'void EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper<float, long int, 0, 0, 1>; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 1, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:876:11:   required from 'void EigenForTFLite::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Scalar*, EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Index, EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>; EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Scalar = float; EigenForTFLite::TensorContractionEvaluatorBase<Derived>::Index = long int]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:779:5:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:175:44:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes<long int, 4>; ArgType = const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:148:62:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:358:16:   required from 'static void EigenForTFLite::internal::TensorExecutor<Expression, EigenForTFLite::ThreadPoolDevice, Vectorizable, Tileable>::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp<EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; bool Tileable = false]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62:   required from 'EigenForTFLite::TensorDevice<ExpressionType, DeviceType>& EigenForTFLite::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]'
[INFO] [stderr] ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29:   required from 'void tflite::multithreaded_ops::EigenTensorConvFunctor<T>::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]'
[INFO] [stderr] ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:169:65:   required from here
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:600:15: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type {aka __vector(4) float}' [-Wignored-attributes]
[INFO] [stderr]      const int packetSize = internal::unpacket_traits<Packet>::size;
[INFO] [stderr]                ^~~~~~~~~~
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of 'typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type = __vector(4) float]':
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:760:65:   required from 'EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]'
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1175:30:   required from 'void EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, true, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:244:16:   required from 'void EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper<float, long int, 0, 0, 1>; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 1, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, true, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, true, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:731:9:   required from 'void EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext<DoneCallback, lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>::pack_rhs(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array<EigenForTFLite::IndexPair<long int>, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index = long int]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:862:19:   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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:856:29:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:175:44:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes<long int, 4>; ArgType = const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:148:62:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:358:16:   required from 'static void EigenForTFLite::internal::TensorExecutor<Expression, EigenForTFLite::ThreadPoolDevice, Vectorizable, Tileable>::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp<EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; bool Tileable = false]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62:   required from 'EigenForTFLite::TensorDevice<ExpressionType, DeviceType>& EigenForTFLite::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]'
[INFO] [stderr] ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29:   required from 'void tflite::multithreaded_ops::EigenTensorConvFunctor<T>::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]'
[INFO] [stderr] ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:169:65:   required from here
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:485:17: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type {aka __vector(4) float}' [-Wignored-attributes]
[INFO] [stderr]      const Index packetSize = internal::unpacket_traits<Packet>::size;
[INFO] [stderr]                  ^~~~~~~~~~
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of 'typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type = __vector(4) float]':
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:760:65:   required from 'EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]'
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1175:30:   required from 'void EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, true, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:244:16:   required from 'void EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper<float, long int, 0, 0, 1>; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 1, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, true, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, true, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:731:9:   required from 'void EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext<DoneCallback, lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>::pack_rhs(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array<EigenForTFLite::IndexPair<long int>, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index = long int]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:862:19:   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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:856:29:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:175:44:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes<long int, 4>; ArgType = const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:148:62:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:358:16:   required from 'static void EigenForTFLite::internal::TensorExecutor<Expression, EigenForTFLite::ThreadPoolDevice, Vectorizable, Tileable>::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp<EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; bool Tileable = false]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62:   required from 'EigenForTFLite::TensorDevice<ExpressionType, DeviceType>& EigenForTFLite::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]'
[INFO] [stderr] ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29:   required from 'void tflite::multithreaded_ops::EigenTensorConvFunctor<T>::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]'
[INFO] [stderr] ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:169:65:   required from here
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:485:17: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type {aka __vector(4) float}' [-Wignored-attributes]
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of 'typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type = __vector(4) float]':
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:760:65:   required from 'EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]'
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1175:30:   required from 'void EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, false, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:244:16:   required from 'void EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper<float, long int, 0, 0, 1>; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 1, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, false, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, false, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:731:9:   required from 'void EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext<DoneCallback, lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>::pack_rhs(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const std::array<EigenForTFLite::IndexPair<long int>, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index = long int]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:862:19:   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-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:856:29:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:175:44:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes<long int, 4>; ArgType = const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:148:62:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:358:16:   required from 'static void EigenForTFLite::internal::TensorExecutor<Expression, EigenForTFLite::ThreadPoolDevice, Vectorizable, Tileable>::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp<EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; bool Tileable = false]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62:   required from 'EigenForTFLite::TensorDevice<ExpressionType, DeviceType>& EigenForTFLite::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]'
[INFO] [stderr] ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29:   required from 'void tflite::multithreaded_ops::EigenTensorConvFunctor<T>::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]'
[INFO] [stderr] ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:169:65:   required from here
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:485:17: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type {aka __vector(4) float}' [-Wignored-attributes]
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of 'EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]':
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:492:28:   required from 'typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type = __vector(4) float]'
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:760:65:   required from 'EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]'
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1175:30:   required from 'void EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, true, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:244:16:   required from 'void EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper<float, long int, 0, 0, 1>; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 1, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, true, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, true, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:731:9:   required from 'void EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext<DoneCallback, lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>::pack_rhs(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array<EigenForTFLite::IndexPair<long int>, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index = long int]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:862:19:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:175:44:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes<long int, 4>; ArgType = const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:148:62:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:358:16:   required from 'static void EigenForTFLite::internal::TensorExecutor<Expression, EigenForTFLite::ThreadPoolDevice, Vectorizable, Tileable>::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp<EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; bool Tileable = false]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62:   required from 'EigenForTFLite::TensorDevice<ExpressionType, DeviceType>& EigenForTFLite::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]'
[INFO] [stderr] ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29:   required from 'void tflite::multithreaded_ops::EigenTensorConvFunctor<T>::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]'
[INFO] [stderr] ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:169:65:   required from here
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:572:17: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type {aka __vector(4) float}' [-Wignored-attributes]
[INFO] [stderr]      const Index packetSize = internal::unpacket_traits<Packet>::size;
[INFO] [stderr]                  ^~~~~~~~~~
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of 'EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]':
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:513:34:   required from 'typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type = __vector(4) float]'
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:760:65:   required from 'EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]'
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1175:30:   required from 'void EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, true, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:244:16:   required from 'void EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper<float, long int, 0, 0, 1>; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 1, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, true, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, true, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:731:9:   required from 'void EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext<DoneCallback, lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>::pack_rhs(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array<EigenForTFLite::IndexPair<long int>, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index = long int]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:862:19:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:175:44:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes<long int, 4>; ArgType = const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:148:62:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:358:16:   required from 'static void EigenForTFLite::internal::TensorExecutor<Expression, EigenForTFLite::ThreadPoolDevice, Vectorizable, Tileable>::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp<EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; bool Tileable = false]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62:   required from 'EigenForTFLite::TensorDevice<ExpressionType, DeviceType>& EigenForTFLite::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]'
[INFO] [stderr] ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29:   required from 'void tflite::multithreaded_ops::EigenTensorConvFunctor<T>::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]'
[INFO] [stderr] ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:169:65:   required from here
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:600:15: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type {aka __vector(4) float}' [-Wignored-attributes]
[INFO] [stderr]      const int packetSize = internal::unpacket_traits<Packet>::size;
[INFO] [stderr]                ^~~~~~~~~~
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of 'EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]':
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:492:28:   required from 'typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type = __vector(4) float]'
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:760:65:   required from 'EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]'
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1175:30:   required from 'void EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, true, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:244:16:   required from 'void EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper<float, long int, 0, 0, 1>; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 1, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, true, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, true, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:731:9:   required from 'void EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext<DoneCallback, lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>::pack_rhs(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array<EigenForTFLite::IndexPair<long int>, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index = long int]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:862:19:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:175:44:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes<long int, 4>; ArgType = const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:148:62:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:358:16:   required from 'static void EigenForTFLite::internal::TensorExecutor<Expression, EigenForTFLite::ThreadPoolDevice, Vectorizable, Tileable>::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp<EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; bool Tileable = false]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62:   required from 'EigenForTFLite::TensorDevice<ExpressionType, DeviceType>& EigenForTFLite::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]'
[INFO] [stderr] ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29:   required from 'void tflite::multithreaded_ops::EigenTensorConvFunctor<T>::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]'
[INFO] [stderr] ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:169:65:   required from here
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:572:17: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type {aka __vector(4) float}' [-Wignored-attributes]
[INFO] [stderr]      const Index packetSize = internal::unpacket_traits<Packet>::size;
[INFO] [stderr]                  ^~~~~~~~~~
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of 'EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]':
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:513:34:   required from 'typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type = __vector(4) float]'
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:760:65:   required from 'EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]'
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1175:30:   required from 'void EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, true, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:244:16:   required from 'void EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper<float, long int, 0, 0, 1>; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 1, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, true, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, true, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:731:9:   required from 'void EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext<DoneCallback, lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>::pack_rhs(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array<EigenForTFLite::IndexPair<long int>, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index = long int]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:862:19:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:175:44:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes<long int, 4>; ArgType = const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:148:62:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:358:16:   required from 'static void EigenForTFLite::internal::TensorExecutor<Expression, EigenForTFLite::ThreadPoolDevice, Vectorizable, Tileable>::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp<EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; bool Tileable = false]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62:   required from 'EigenForTFLite::TensorDevice<ExpressionType, DeviceType>& EigenForTFLite::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]'
[INFO] [stderr] ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29:   required from 'void tflite::multithreaded_ops::EigenTensorConvFunctor<T>::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]'
[INFO] [stderr] ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:169:65:   required from here
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:600:15: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type {aka __vector(4) float}' [-Wignored-attributes]
[INFO] [stderr]      const int packetSize = internal::unpacket_traits<Packet>::size;
[INFO] [stderr]                ^~~~~~~~~~
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of 'EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]':
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:492:28:   required from 'typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type = __vector(4) float]'
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:760:65:   required from 'EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]'
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1175:30:   required from 'void EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, false, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:244:16:   required from 'void EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper<float, long int, 0, 0, 1>; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 1, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, false, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, false, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:731:9:   required from 'void EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext<DoneCallback, lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>::pack_rhs(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const std::array<EigenForTFLite::IndexPair<long int>, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index = long int]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:862:19:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:175:44:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes<long int, 4>; ArgType = const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:148:62:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:358:16:   required from 'static void EigenForTFLite::internal::TensorExecutor<Expression, EigenForTFLite::ThreadPoolDevice, Vectorizable, Tileable>::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp<EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; bool Tileable = false]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62:   required from 'EigenForTFLite::TensorDevice<ExpressionType, DeviceType>& EigenForTFLite::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]'
[INFO] [stderr] ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29:   required from 'void tflite::multithreaded_ops::EigenTensorConvFunctor<T>::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]'
[INFO] [stderr] ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:169:65:   required from here
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:572:17: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type {aka __vector(4) float}' [-Wignored-attributes]
[INFO] [stderr]      const Index packetSize = internal::unpacket_traits<Packet>::size;
[INFO] [stderr]                  ^~~~~~~~~~
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of 'EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]':
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:513:34:   required from 'typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket<TensorEvaluatorT, PacketT, Index>::value), PacketT>::type = __vector(4) float]'
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:760:65:   required from 'EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper<Scalar_, Index, Side, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]'
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1175:30:   required from 'void EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes<long int, 2>; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array<long int, 1>; contract_t = std::array<long int, 1>; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs<Scalar, Index, EigenForTFLite::internal::TensorContractionSubMapper<Scalar, Index, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimension, const EigenForTFLite::TensorImagePatchOp<Rows, Cols, ArgType> >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, false, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:244:16:   required from 'void EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper<float, long int, 0, 0, 1>; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 1, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, false, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper<float, long int, 0, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 4, false, false, 0, EigenForTFLite::MakePointer>]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:731:9:   required from 'void EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext<DoneCallback, lhs_inner_dim_contiguous, rhs_inner_dim_contiguous, rhs_inner_dim_reordered, Alignment>::pack_rhs(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const std::array<EigenForTFLite::IndexPair<long int>, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, EigenForTFLite::ThreadPoolDevice>::Index = long int]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:862:19:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:175:44:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes<long int, 4>; ArgType = const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorReshapingOp<NewDimensions, XprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:148:62:   required from 'bool EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator<const EigenForTFLite::TensorAssignOp<LhsXprType, RhsXprType>, Device>::EvaluatorPointerType = float*]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:358:16:   required from 'static void EigenForTFLite::internal::TensorExecutor<Expression, EigenForTFLite::ThreadPoolDevice, Vectorizable, Tileable>::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp<EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; bool Tileable = false]'
[INFO] [stderr] /opt/rustwide/target/debug/build/tflite-34eb6384c3db8922/out/tensorflow/tensorflow/lite/tools/make/downloads/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62:   required from 'EigenForTFLite::TensorDevice<ExpressionType, DeviceType>& EigenForTFLite::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 4>, const EigenForTFLite::TensorContractionOp<const std::array<EigenForTFLite::IndexPair<long int>, 1>, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> > >, const EigenForTFLite::TensorReshapingOp<const EigenForTFLite::DSizes<long int, 2>, const EigenForTFLite::TensorMap<EigenForTFLite::Tensor<const float, 4, 1, long int>, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap<EigenForTFLite::Tensor<float, 4, 1, long int>, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]'
[INFO] [stderr] ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29:   required from 'void tflite::multithreaded_ops::EigenTensorConvFunctor<T>::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]'
[INFO] [stderr] ./tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:169:65:   required from here
[INFO] [stderr] ./tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:600:15: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits<float>::type {aka __vector(4) float}' [-Wignored-attributes]
[INFO] [stderr]      const int packetSize = internal::unpacket_traits<Packet>::size;
[INFO] [stderr]                ^~~~~~~~~~
[INFO] [stderr] thread 'main' panicked at 'Failed to build tensorflow', build.rs:149:17
[INFO] [stderr] stack backtrace:
[INFO] [stderr]    0:     0x55d9abed3814 - backtrace::backtrace::libunwind::trace::hda902e3a4eb9d449
[INFO] [stderr]                                at /cargo/registry/src/github.com-1ecc6299db9ec823/backtrace-0.3.46/src/backtrace/libunwind.rs:86
[INFO] [stderr]    1:     0x55d9abed3814 - backtrace::backtrace::trace_unsynchronized::h06df0062bb63b7e2
[INFO] [stderr]                                at /cargo/registry/src/github.com-1ecc6299db9ec823/backtrace-0.3.46/src/backtrace/mod.rs:66
[INFO] [stderr]    2:     0x55d9abed3814 - std::sys_common::backtrace::_print_fmt::ha5249daf78f399e8
[INFO] [stderr]                                at src/libstd/sys_common/backtrace.rs:78
[INFO] [stderr]    3:     0x55d9abed3814 - <std::sys_common::backtrace::_print::DisplayBacktrace as core::fmt::Display>::fmt::h68243ef2eafa8843
[INFO] [stderr]                                at src/libstd/sys_common/backtrace.rs:59
[INFO] [stderr]    4:     0x55d9abf0146c - core::fmt::write::h8b50d07b82ae3922
[INFO] [stderr]                                at src/libcore/fmt/mod.rs:1069
[INFO] [stderr]    5:     0x55d9abecf0c3 - std::io::Write::write_fmt::h9a5b9a212b705549
[INFO] [stderr]                                at src/libstd/io/mod.rs:1504
[INFO] [stderr]    6:     0x55d9abed68b5 - std::sys_common::backtrace::_print::hcd11fe8eb9e7335d
[INFO] [stderr]                                at src/libstd/sys_common/backtrace.rs:62
[INFO] [stderr]    7:     0x55d9abed68b5 - std::sys_common::backtrace::print::h475286256f91474c
[INFO] [stderr]                                at src/libstd/sys_common/backtrace.rs:49
[INFO] [stderr]    8:     0x55d9abed68b5 - std::panicking::default_hook::{{closure}}::h2a45e9d6ef27161b
[INFO] [stderr]                                at src/libstd/panicking.rs:198
[INFO] [stderr]    9:     0x55d9abed65f2 - std::panicking::default_hook::h76adec688b27abdd
[INFO] [stderr]                                at src/libstd/panicking.rs:218
[INFO] [stderr]   10:     0x55d9abed6fe5 - std::panicking::rust_panic_with_hook::h121f4f2c52efbcbf
[INFO] [stderr]                                at src/libstd/panicking.rs:515
[INFO] [stderr]   11:     0x55d9ab8c91b1 - std::panicking::begin_panic::hf57484b8941c02af
[INFO] [stderr]                                at /rustc/bf1f2eedda4fa02b7c9347dd849ed73ddd43dedc/src/libstd/panicking.rs:438
[INFO] [stderr]   12:     0x55d9ab66490c - build_script_build::prepare_tensorflow_library::h09e48f4646a10b15
[INFO] [stderr]                                at /opt/rustwide/workdir/build.rs:149
[INFO] [stderr]   13:     0x55d9ab666495 - build_script_build::main::hbb97121303dbe19b
[INFO] [stderr]                                at /opt/rustwide/workdir/build.rs:580
[INFO] [stderr]   14:     0x55d9ab66818b - std::rt::lang_start::{{closure}}::hee116f3d7cb55a6c
[INFO] [stderr]                                at /rustc/bf1f2eedda4fa02b7c9347dd849ed73ddd43dedc/src/libstd/rt.rs:67
[INFO] [stderr]   15:     0x55d9abed7428 - std::rt::lang_start_internal::{{closure}}::h15b56bd7f81214ad
[INFO] [stderr]                                at src/libstd/rt.rs:52
[INFO] [stderr]   16:     0x55d9abed7428 - std::panicking::try::do_call::hbe8467da291bc822
[INFO] [stderr]                                at src/libstd/panicking.rs:331
[INFO] [stderr]   17:     0x55d9abed7428 - std::panicking::try::hde3b5cbc6989304d
[INFO] [stderr]                                at src/libstd/panicking.rs:274
[INFO] [stderr]   18:     0x55d9abed7428 - std::panic::catch_unwind::h56844acb323fdd6c
[INFO] [stderr]                                at src/libstd/panic.rs:394
[INFO] [stderr]   19:     0x55d9abed7428 - std::rt::lang_start_internal::hae379591a9420b87
[INFO] [stderr]                                at src/libstd/rt.rs:51
[INFO] [stderr]   20:     0x55d9ab668167 - std::rt::lang_start::hf6e28a8f51ae6323
[INFO] [stderr]                                at /rustc/bf1f2eedda4fa02b7c9347dd849ed73ddd43dedc/src/libstd/rt.rs:67
[INFO] [stderr]   21:     0x55d9ab6664ca - main
[INFO] [stderr]   22:     0x7f8327ae1b97 - __libc_start_main
[INFO] [stderr]   23:     0x55d9ab65cd5a - _start
[INFO] [stderr]   24:                0x0 - <unknown>
[INFO] [stderr] 
[INFO] running `"docker" "inspect" "3ce2b150f8026da7023ae054d63ebe6c2bbf1beb7cf6dd4bbf9ad5ddfdb455a5"`
[INFO] running `"docker" "rm" "-f" "3ce2b150f8026da7023ae054d63ebe6c2bbf1beb7cf6dd4bbf9ad5ddfdb455a5"`
[INFO] [stdout] 3ce2b150f8026da7023ae054d63ebe6c2bbf1beb7cf6dd4bbf9ad5ddfdb455a5
