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Compiling test case failure [TensorFlow Lite] #52392

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KangGrandesty opened this issue Oct 15, 2021 · 5 comments
Closed

Compiling test case failure [TensorFlow Lite] #52392

KangGrandesty opened this issue Oct 15, 2021 · 5 comments
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@abattery @mohantym
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comp:lite TF Lite related issues stat:awaiting response Status - Awaiting response from author subtype: ubuntu/linux Ubuntu/Linux Build/Installation Issues TF 2.4 for issues related to TF 2.4 type:build/install Build and install issues

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@KangGrandesty
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System information

  • Have I written custom code (as opposed to using a stock example script provided in TensorFlow): No
  • OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Linux Ubuntu 16.04
  • Mobile device (e.g. iPhone 8, Pixel 2, Samsung Galaxy) if the issue happens on mobile device: No
  • TensorFlow installed from (source or binary): source
  • TensorFlow version (use command below): v2.4.3
  • Python version: 3.7
  • Bazel version (if compiling from source): 3.1.0
  • GCC/Compiler version (if compiling from source): gcc 7.5.0
  • CUDA/cuDNN version: No
  • GPU model and memory: No
  1. configure
./configure

output

You have bazel 3.1.0 installed.
Please specify the location of python. [Default is /media/envs/miniconda/envs/tf2.x/bin/python3]: 


Found possible Python library paths:
  /media/xx/code/AnimaX
  /media/envs/miniconda/envs/tf2.x/lib/python3.7/site-packages
Please input the desired Python library path to use.  Default is [/media/xx/code/AnimaX]

Do you wish to build TensorFlow with ROCm support? [y/N]: 
No ROCm support will be enabled for TensorFlow.

Do you wish to build TensorFlow with CUDA support? [y/N]: 
No CUDA support will be enabled for TensorFlow.

Do you wish to download a fresh release of clang? (Experimental) [y/N]: 
Clang will not be downloaded.

Please specify optimization flags to use during compilation when bazel option "--config=opt" is specified [Default is -Wno-sign-compare]: 


Would you like to interactively configure ./WORKSPACE for Android builds? [y/N]: y
Searching for NDK and SDK installations.

Please specify the home path of the Android NDK to use. [Default is /home/xx/Android/Sdk/ndk-bundle]: /home/xx/Android/Sdk/ndk/18.1.5063045


Please specify the (min) Android NDK API level to use. [Available levels: ['16', '17', '18', '19', '21', '22', '23', '24', '26', '27', '28']] [Default is 21]: 


Please specify the home path of the Android SDK to use. [Default is /home/xx/Android/Sdk]: 


Please specify the Android SDK API level to use. [Available levels: ['19', '30']] [Default is 30]: 


Please specify an Android build tools version to use. [Available versions: ['19.1.0', '30.0.2']] [Default is 30.0.2]: 


Preconfigured Bazel build configs. You can use any of the below by adding "--config=<>" to your build command. See .bazelrc for more details.
	--config=mkl         	# Build with MKL support.
	--config=mkl_aarch64 	# Build with oneDNN support for Aarch64.
	--config=monolithic  	# Config for mostly static monolithic build.
	--config=ngraph      	# Build with Intel nGraph support.
	--config=numa        	# Build with NUMA support.
	--config=dynamic_kernels	# (Experimental) Build kernels into separate shared objects.
	--config=v2          	# Build TensorFlow 2.x instead of 1.x.
Preconfigured Bazel build configs to DISABLE default on features:
	--config=noaws       	# Disable AWS S3 filesystem support.
	--config=nogcp       	# Disable GCP support.
	--config=nohdfs      	# Disable HDFS support.
	--config=nonccl      	# Disable NVIDIA NCCL support.
Configuration finished
  1. build
bash tensorflow/lite/tools/build_aar.sh

without any exception.

  1. test
bazel build -c opt  //tensorflow/lite/kernels:reverse_test

output

INFO: Options provided by the client:
  Inherited 'common' options: --isatty=1 --terminal_columns=146
INFO: Reading rc options for 'build' from /media/xx/libraries/tensorflow/.bazelrc:
  Inherited 'common' options: --experimental_repo_remote_exec
INFO: Reading rc options for 'build' from /media/xx/libraries/tensorflow/.bazelrc:
  'build' options: --apple_platform_type=macos --define framework_shared_object=true --define open_source_build=true --java_toolchain=//third_party/toolchains/java:tf_java_toolchain --host_java_toolchain=//third_party/toolchains/java:tf_java_toolchain --define=tensorflow_enable_mlir_generated_gpu_kernels=0 --define=use_fast_cpp_protos=true --define=allow_oversize_protos=true --spawn_strategy=standalone -c opt --announce_rc --define=grpc_no_ares=true --noincompatible_remove_legacy_whole_archive --noincompatible_prohibit_aapt1 --enable_platform_specific_config --config=short_logs --config=v2
INFO: Reading rc options for 'build' from /media/xx/libraries/tensorflow/.tf_configure.bazelrc:
  'build' options: --action_env PYTHON_BIN_PATH=/media/envs/miniconda/envs/tf2.x/bin/python3 --action_env PYTHON_LIB_PATH=/media/xx/code/AnimaX --python_path=/media/envs/miniconda/envs/tf2.x/bin/python3 --action_env PYTHONPATH=/media/envs/install/pangolin/lib/python3.7/dist-packages:/media/envs/install/g2o/lib/python3.7/dist-packages:/media/envs/install/nvtop/lib/python3.7/dist-packages:/media/envs/install/ceres-solver/lib/python3.7/dist-packages:/media/envs/install/vtk/lib/python3.7/dist-packages:/media/envs/install/protobuf/lib/python3.7/dist-packages:/media/envs/install/opencv/lib/python3.7/dist-packages:/media/envs/install/cmake/lib/python3.7/dist-packages:/media/envs/install/openmpi/lib/python3.7/dist-packages:/media/envs/install/pangolin/lib/python3.7/dist-packages:/media/envs/install/g2o/lib/python3.7/dist-packages:/media/envs/install/nvtop/lib/python3.7/dist-packages:/media/envs/install/ceres-solver/lib/python3.7/dist-packages:/media/envs/install/vtk/lib/python3.7/dist-packages:/media/envs/install/protobuf/lib/python3.7/dist-packages:/media/envs/install/opencv/lib/python3.7/dist-packages:/media/envs/install/cmake/lib/python3.7/dist-packages:/media/envs/install/openmpi/lib/python3.7/dist-packages::/media/xx/code/AnimaX:/media/xx/code/AnimaX --config=xla --action_env ANDROID_NDK_HOME=/home/xx/Android/Sdk/ndk/18.1.5063045 --action_env ANDROID_NDK_API_LEVEL=21 --action_env ANDROID_BUILD_TOOLS_VERSION=30.0.2 --action_env ANDROID_SDK_API_LEVEL=30 --action_env ANDROID_SDK_HOME=/home/xx/Android/Sdk --action_env TF_CONFIGURE_IOS=0
INFO: Found applicable config definition build:short_logs in file /media/xx/libraries/tensorflow/.bazelrc: --output_filter=DONT_MATCH_ANYTHING
INFO: Found applicable config definition build:v2 in file /media/xx/libraries/tensorflow/.bazelrc: --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1
INFO: Found applicable config definition build:xla in file /media/xx/libraries/tensorflow/.bazelrc: --define=with_xla_support=true
INFO: Found applicable config definition build:linux in file /media/xx/libraries/tensorflow/.bazelrc: --copt=-w --host_copt=-w --define=PREFIX=/usr --define=LIBDIR=$(PREFIX)/lib --define=INCLUDEDIR=$(PREFIX)/include --define=PROTOBUF_INCLUDE_PATH=$(PREFIX)/include --cxxopt=-std=c++14 --host_cxxopt=-std=c++14 --config=dynamic_kernels
INFO: Found applicable config definition build:dynamic_kernels in file /media/xx/libraries/tensorflow/.bazelrc: --define=dynamic_loaded_kernels=true --copt=-DAUTOLOAD_DYNAMIC_KERNELS
INFO: Build options --cxxopt, --fat_apk_cpu, and --host_crosstool_top have changed, discarding analysis cache.
INFO: Analyzed target //tensorflow/lite/kernels:reverse_test (26 packages loaded, 3873 targets configured).
INFO: Found 1 target...
ERROR: /media/xx/libraries/tensorflow/tensorflow/lite/kernels/internal/BUILD:720:1: C++ compilation of rule '//tensorflow/lite/kernels/internal:kernel_utils' failed (Exit 1)
In file included from tensorflow/lite/kernels/internal/kernel_utils.cc:19:0:
./tensorflow/lite/kernels/internal/tensor_utils.h: In function 'void tflite::tensor_utils::ApplyTanhToVector(const float*, int, float*)':
./tensorflow/lite/kernels/internal/tensor_utils.h:550:39: error: 'Vector' is not a member of 'Eigen'
   using VectorMap = Eigen::Map<Eigen::Vector<float, Eigen::Dynamic>>;
                                       ^~~~~~
./tensorflow/lite/kernels/internal/tensor_utils.h:550:39: note: suggested alternative: 'VectorXd'
   using VectorMap = Eigen::Map<Eigen::Vector<float, Eigen::Dynamic>>;
                                       ^~~~~~
                                       VectorXd
./tensorflow/lite/kernels/internal/tensor_utils.h:550:39: error: 'Vector' is not a member of 'Eigen'
./tensorflow/lite/kernels/internal/tensor_utils.h:550:39: note: suggested alternative: 'VectorXd'
   using VectorMap = Eigen::Map<Eigen::Vector<float, Eigen::Dynamic>>;
                                       ^~~~~~
                                       VectorXd
./tensorflow/lite/kernels/internal/tensor_utils.h:550:67: error: template argument 1 is invalid
   using VectorMap = Eigen::Map<Eigen::Vector<float, Eigen::Dynamic>>;
                                                                   ^~
./tensorflow/lite/kernels/internal/tensor_utils.h:551:3: error: 'VectorMap' was not declared in this scope
   VectorMap input_map(const_cast<float* __restrict__>(vector), v_size);
   ^~~~~~~~~
./tensorflow/lite/kernels/internal/tensor_utils.h:551:3: note: suggested alternative: 'vector'
   VectorMap input_map(const_cast<float* __restrict__>(vector), v_size);
   ^~~~~~~~~
   vector
./tensorflow/lite/kernels/internal/tensor_utils.h:552:13: error: expected ';' before 'output_map'
   VectorMap output_map(result, v_size);
             ^~~~~~~~~~
./tensorflow/lite/kernels/internal/tensor_utils.h:553:3: error: 'output_map' was not declared in this scope
   output_map.array() = input_map.array().tanh();
   ^~~~~~~~~~
./tensorflow/lite/kernels/internal/tensor_utils.h:553:24: error: 'input_map' was not declared in this scope
   output_map.array() = input_map.array().tanh();
                        ^~~~~~~~~
./tensorflow/lite/kernels/internal/tensor_utils.h: In function 'void tflite::tensor_utils::ApplySigmoidToVector(const float*, int, float*)':
./tensorflow/lite/kernels/internal/tensor_utils.h:567:39: error: 'Vector' is not a member of 'Eigen'
   using VectorMap = Eigen::Map<Eigen::Vector<float, Eigen::Dynamic>>;
                                       ^~~~~~
./tensorflow/lite/kernels/internal/tensor_utils.h:567:39: note: suggested alternative: 'VectorXd'
   using VectorMap = Eigen::Map<Eigen::Vector<float, Eigen::Dynamic>>;
                                       ^~~~~~
                                       VectorXd
./tensorflow/lite/kernels/internal/tensor_utils.h:567:39: error: 'Vector' is not a member of 'Eigen'
./tensorflow/lite/kernels/internal/tensor_utils.h:567:39: note: suggested alternative: 'VectorXd'
   using VectorMap = Eigen::Map<Eigen::Vector<float, Eigen::Dynamic>>;
                                       ^~~~~~
                                       VectorXd
./tensorflow/lite/kernels/internal/tensor_utils.h:567:67: error: template argument 1 is invalid
   using VectorMap = Eigen::Map<Eigen::Vector<float, Eigen::Dynamic>>;
                                                                   ^~
./tensorflow/lite/kernels/internal/tensor_utils.h:568:3: error: 'VectorMap' was not declared in this scope
   VectorMap input_map(const_cast<float* __restrict__>(vector), v_size);
   ^~~~~~~~~
./tensorflow/lite/kernels/internal/tensor_utils.h:568:3: note: suggested alternative: 'vector'
   VectorMap input_map(const_cast<float* __restrict__>(vector), v_size);
   ^~~~~~~~~
   vector
./tensorflow/lite/kernels/internal/tensor_utils.h:569:13: error: expected ';' before 'output_map'
   VectorMap output_map(result, v_size);
             ^~~~~~~~~~
./tensorflow/lite/kernels/internal/tensor_utils.h:570:3: error: 'output_map' was not declared in this scope
   output_map.array() = input_map.array().logistic();
   ^~~~~~~~~~
./tensorflow/lite/kernels/internal/tensor_utils.h:570:24: error: 'input_map' was not declared in this scope
   output_map.array() = input_map.array().logistic();
                        ^~~~~~~~~
Target //tensorflow/lite/kernels:reverse_test failed to build
Use --verbose_failures to see the command lines of failed build steps.
INFO: Elapsed time: 4.225s, Critical Path: 1.62s
INFO: 27 processes: 27 local.
FAILED: Build did NOT complete successfully
@sushreebarsa sushreebarsa added comp:lite TF Lite related issues TF 2.4 for issues related to TF 2.4 type:build/install Build and install issues type:bug Bug subtype: ubuntu/linux Ubuntu/Linux Build/Installation Issues and removed type:bug Bug labels Oct 15, 2021
@Saduf2019 Saduf2019 assigned Saduf2019 and unassigned sushreebarsa Oct 18, 2021
@Saduf2019
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@KangGrandesty
Could you please try on 2.5/2.6 and let us know if you still face the issue.

@Saduf2019 Saduf2019 added the stat:awaiting response Status - Awaiting response from author label Oct 18, 2021
@KangGrandesty
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  • v2.5.0
  • v2.6.0
  • v2.7.0-rc0
  • nightly

All checked tags&branches occur the same excpetion.

@Saduf2019

@tensorflowbutler tensorflowbutler removed the stat:awaiting response Status - Awaiting response from author label Oct 20, 2021
@jvishnuvardhan jvishnuvardhan added the stat:awaiting tensorflower Status - Awaiting response from tensorflower label Dec 3, 2021
@mohantym mohantym self-assigned this May 20, 2022
@mohantym
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Hi @KangGrandesty ! We are checking whether you still need help with this issue. Have you tested with Bazel 4.2.1/5.0.0 and TF 2.8/2.9 respectively. Thank you!

@mohantym mohantym added stat:awaiting response Status - Awaiting response from author and removed stat:awaiting tensorflower Status - Awaiting response from tensorflower labels Jun 15, 2022
@KangGrandesty
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We just use TF 2.4 and are not plan to upgrade version. @mohantym

Even the test cases report errors, some of our models still work. And we make trade-off between other models and tflite.

@google-ml-butler
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