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Tensorflowlite: bazel windows build is broken #25690

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ElderOrb opened this issue Feb 12, 2019 · 7 comments
Closed

Tensorflowlite: bazel windows build is broken #25690

ElderOrb opened this issue Feb 12, 2019 · 7 comments
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@jdduke
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comp:lite TF Lite related issues type:build/install Build and install issues

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@ElderOrb
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Please make sure that this is a build/installation issue. As per our GitHub Policy, we only address code/doc bugs, performance issues, feature requests and build/installation issues on GitHub. tag:build_template

System information

  • OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
    Windows 10

  • Mobile device (e.g. iPhone 8, Pixel 2, Samsung Galaxy) if the issue happens on mobile device:
    n/a

  • TensorFlow installed from (source or binary):
    Build from source

  • TensorFlow version:
    master, 07d4fe2

  • Python version:
    2.7.15

  • Installed using virtualenv? pip? conda?:
    n/a

  • Bazel version (if compiling from source):
    0.21.0

  • GCC/Compiler version (if compiling from source):
    MSVC 2017

  • CUDA/cuDNN version:
    n/a

  • GPU model and memory:
    n/a

Describe the problem
Windows build of tensorflow lite fails.

Provide the exact sequence of commands / steps that you executed before running into the problem

D:\AI\tensorflow>bazel.exe --output_user_root ./builddir build --jobs 1 //tensorflow/lite:libtensorflowlite.so
WARNING: The following rc files are no longer being read, please transfer their contents or import their path into one of the standard rc files:
d:\ai\tensorflow/.bazelrc
INFO: Invocation ID: 4d63708d-d989-452b-8ad1-8cdde66edcdb
DEBUG: D:/ai/tensorflow/builddir/jkmrio3k/external/build_bazel_rules_apple/apple/repositories.bzl:35:5:
WARNING: build_bazel_rules_apple depends on bazel_skylib loaded from https://github.com/bazelbuild/bazel-skylib.git (tag 0.6.0), but we have detected it already loaded into your workspace from None (tag No
ne). You may run into compatibility issues. To silence this warning, pass ignore_version_differences = True to apple_rules_dependencies().

INFO: Analysed target //tensorflow/lite:libtensorflowlite.so (0 packages loaded, 0 targets configured).
INFO: Found 1 target...
ERROR: D:/ai/tensorflow/tensorflow/lite/kernels/BUILD:259:1: C++ compilation of rule '//tensorflow/lite/kernels:lstm_eval' failed (Exit 2)
cl : Command line warning D9002 : ignoring unknown option '/Gw'
.\tensorflow/lite/c/c_api_internal.h(32) : fatal error C1083: Cannot open include file: 'stdbool.h': No such file or directory
Target //tensorflow/lite:libtensorflowlite.so failed to build
Use --verbose_failures to see the command lines of failed build steps.
INFO: Elapsed time: 0.579s, Critical Path: 0.10s
INFO: 0 processes.
FAILED: Build did NOT complete successfully

Any other info / logs
Include any logs or source code that would be helpful to diagnose the problem. If including tracebacks, please include the full traceback. Large logs and files should be attached.
@jvishnuvardhan jvishnuvardhan self-assigned this Feb 12, 2019
@jvishnuvardhan jvishnuvardhan added comp:lite TF Lite related issues type:build/install Build and install issues labels Feb 12, 2019
@ElderOrb
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any progress here?

@jvishnuvardhan jvishnuvardhan added the stat:awaiting tensorflower Status - Awaiting response from tensorflower label Feb 25, 2019
@gunan gunan assigned jdduke and unassigned gunan Feb 25, 2019
@jdduke
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jdduke commented Mar 1, 2019

If you move the include as follows:

#ifndef __cplusplus
#include <stdbool.h>
#endif  // __cplusplus

does that solve the problem?

@tensorflowbutler tensorflowbutler removed the stat:awaiting tensorflower Status - Awaiting response from tensorflower label Mar 1, 2019
@ElderOrb
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ElderOrb commented Mar 6, 2019 •
edited

Yes, it did help with that issue, but new one appeared:

INFO: Analysed target //tensorflow/lite:libtensorflowlite.so (0 packages loaded, 0 targets configured).
INFO: Found 1 target...
INFO: From Compiling tensorflow/lite/kernels/lstm_eval.cc:
cl : Command line warning D9002 : ignoring unknown option '/Gw'
ERROR: D:/ai/tensorflow/tensorflow/lite/kernels/internal/BUILD:473:1: C++ compilation of rule '//tensorflow/lite/kernels/internal:tensor_utils' failed (Exit 2)
cl : Command line warning D9002 : ignoring unknown option '/Gw'
cl : Command line warning D9002 : ignoring unknown option '-O3'
d:\ai\tensorflow\builddir\jkmrio3k\execroot\org_tensorflow\external\gemmlowp\internal../profiling/pthread_everywhere.h(40) : fatal error C1083: Cannot open include file: 'condition_variable': No such file or
directory
Target //tensorflow/lite:libtensorflowlite.so failed to build
Use --verbose_failures to see the command lines of failed build steps.
INFO: Elapsed time: 6.798s, Critical Path: 0.72s
INFO: 1 process: 1 local.
FAILED: Build did NOT complete successfully

@ElderOrb
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ElderOrb commented Mar 6, 2019 •
edited

I guess this is because Microsoft's compiler doesn't switch to c++ 11 mode (btw, weird, it should be c++ 11 without any options)... In any case I've tried to pass "--std=c++11" or "/std:c++14" or "/std:c++17" but in all the cases options were not recognized as valid:

cl : Command line warning D9002 : ignoring unknown option '/Gw'
cl : Command line warning D9002 : ignoring unknown option '--std=c++11'

@ElderOrb
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ElderOrb commented Mar 6, 2019

Not sure what I did besides retrying (btw, why does bazel show different random build errors on build failures) but now the error is the following:

cl : Command line warning D9002 : ignoring unknown option '/Gw'
tensorflow/lite/kernels/internal/mfcc_dct.cc(44) : error C2668: 'atan' : ambiguous call to overloaded function
C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\INCLUDE\math.h(553): could be 'long double atan(long double)'
C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\INCLUDE\math.h(505): or 'float atan(float)'
C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\INCLUDE\math.h(108): or 'double atan(double)'
while trying to match the argument list '(int)'
Target //tensorflow/lite:libtensorflowlite.so failed to build

@ElderOrb
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any update here?

@tensorflow-bot
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@ElderOrb @jdduke @gunan @tensorflowbutler @jvishnuvardhan