使用Bazel（Windows）=>使用Tensorflow C ++ API來構建Tensorflow

Question

我的最初目標只是使用Tensorflow的C ++ API讀取“ .pb”凍結模型並對其進行預測。 使用Keras對其進行原型制作，設法凍結了模型並在Python上使用Tensorflow進行了嘗試； 一切進展順利。 所以我基本上只需要C ++ API即可工作。

我使用的是i5-8400T計算機，沒有GPU，8GB內存。 今天（27/08/2019）已下載所有版本的bazel和tensorflow。

我要做的第一件事當然是遵循tensorflow的指南 。 bazel run -c opt //tensorflow/cc/example:example小bazel run -c opt //tensorflow/cc/example:example ，然后...多次。

第一次，需要將我的bazel版本降級到0.26.1以使tensorflow的configure.py滿意。

然后，我遇到了一些人顯然遇到的相同問題，這是在獲取io_bazel_rules_docker ，然后停止了其余的構建過程。 （以下是我在這里得到的輸出）

---

bazel : INFO: Options provided by the client:
Au caractère Ligne:1 : 1
+ bazel run -c opt //tensorflow/cc/example:example > error.txt 2>&1
+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    + CategoryInfo          : NotSpecified: (INFO: Options provided by the client::String) [], RemoteException
    + FullyQualifiedErrorId : NativeCommandError

  Inherited 'common' options: --isatty=0 --terminal_columns=80

INFO: Options provided by the client:
  Inherited 'build' options: --python_path=C:/Users/IMEDSYS/AppData/Local/Programs/Python/Python37/python.exe

INFO: Reading rc options for 'run' from c:\users\imedsys\bin\tensorflow\.bazelrc:
  Inherited 'build' options: --apple_platform_type=macos --define framework_shared_object=true --define 
open_source_build=true --define=use_fast_cpp_protos=true --define=allow_oversize_protos=true 
--spawn_strategy=standalone --strategy=Genrule=standalone -c opt --cxxopt=-std=c++14 --host_cxxopt=-std=c++14 
--announce_rc --define=grpc_no_ares=true --define=PREFIX=/usr --define=LIBDIR=$(PREFIX)/lib 
--define=INCLUDEDIR=$(PREFIX)/include

INFO: Reading rc options for 'run' from c:\users\imedsys\bin\tensorflow\.tf_configure.bazelrc:
  Inherited 'build' options: --action_env 
PYTHON_BIN_PATH=C:/Users/IMEDSYS/AppData/Local/Programs/Python/Python37/python.exe --action_env 
PYTHON_LIB_PATH=C:/Users/IMEDSYS/AppData/Local/Programs/Python/Python37/lib/site-packages 
--python_path=C:/Users/IMEDSYS/AppData/Local/Programs/Python/Python37/python.exe --config monolithic --copt=-w 
--host_copt=-w --copt=-DWIN32_LEAN_AND_MEAN --host_copt=-DWIN32_LEAN_AND_MEAN --copt=-DNOGDI --host_copt=-DNOGDI 
--verbose_failures --distinct_host_configuration=false --action_env TF_CONFIGURE_IOS=0

INFO: Found applicable config definition build:monolithic in file c:\users\imedsys\bin\tensorflow\.bazelrc: --define 
framework_shared_object=false

Loading: 

Loading: 0 packages loaded

INFO: Call stack for the definition of repository 'io_bazel_rules_docker' which is a git_repository (rule definition 
at C:/users/imedsys/_bazel_imedsys/wmdtvioi/external/bazel_tools/tools/build_defs/repo/git.bzl:252:18):
 - C:/users/imedsys/_bazel_imedsys/wmdtvioi/external/bazel_toolchains/repositories/repositories.bzl:37:9
 - C:/users/imedsys/bin/tensorflow/WORKSPACE:35:1

ERROR: An error occurred during the fetch of repository 'io_bazel_rules_docker':
   Traceback (most recent call last):
    File "C:/users/imedsys/_bazel_imedsys/wmdtvioi/external/bazel_tools/tools/build_defs/repo/git.bzl", line 234
        _clone_or_update(ctx)
    File "C:/users/imedsys/_bazel_imedsys/wmdtvioi/external/bazel_tools/tools/build_defs/repo/git.bzl", line 74, in 
_clone_or_update
        fail(("error cloning %s:\n%s" % (ctx....)))
error cloning io_bazel_rules_docker:
fatal: not a git repository (or any parent up to mount point /mnt)
Stopping at filesystem boundary (GIT_DISCOVERY_ACROSS_FILESYSTEM not set).
/bin/bash: line 1: cd: C:/users/imedsys/_bazel_imedsys/wmdtvioi/external: No such file or directory
+ cd C:/users/imedsys/_bazel_imedsys/wmdtvioi/external
/bin/bash: line 3: cd: C:/users/imedsys/_bazel_imedsys/wmdtvioi/external: No such file or directory
+ git -C C:/users/imedsys/_bazel_imedsys/wmdtvioi/external/io_bazel_rules_docker reset --hard 
251f6a68b439744094faff800cd029798edf9faa
fatal: cannot change to 'C:/users/imedsys/_bazel_imedsys/wmdtvioi/external/io_bazel_rules_docker': No such file or 
directory
+ git -C C:/users/imedsys/_bazel_imedsys/wmdtvioi/external/io_bazel_rules_docker fetch '' origin 
251f6a68b439744094faff800cd029798edf9faa:251f6a68b439744094faff800cd029798edf9faa
fatal: cannot change to 'C:/users/imedsys/_bazel_imedsys/wmdtvioi/external/io_bazel_rules_docker': No such file or 
directory
+ git -C C:/users/imedsys/_bazel_imedsys/wmdtvioi/external/io_bazel_rules_docker fetch origin 
251f6a68b439744094faff800cd029798edf9faa:251f6a68b439744094faff800cd029798edf9faa
fatal: cannot change to 'C:/users/imedsys/_bazel_imedsys/wmdtvioi/external/io_bazel_rules_docker': No such file or 
directory

ERROR: ... *idem*

ERROR: ... *idem*

INFO: Elapsed time: 2.346s

INFO: 0 processes.

FAILED: Build did NOT complete successfully (0 packages loaded)

ERROR: Build failed. Not running target

FAILED: Build did NOT complete successfully (0 packages loaded)

***

因此，我嘗試應用此問題提供的內容，這涉及到rules_docker存儲庫並用最新目標替換目標。

問題是即使在此之后，您仍會遇到與protobuf目標相同的錯誤，如果我應用相同的策略，則會得到哈希錯誤。

然后，我嘗試使用CMake做到這一點，正如去年許多人說的那樣，在Windows上構建擋板尚不可用。 我使用了兩個類似的指南，其中一個在這里 ，因此嘗試使用

cmake .. -A x64 -DCMAKE_BUILD_TYPE=Release -DSWIG_EXECUTABLE=C:\swigwin-3.0.12\swig.exe -DPYTHON_EXECUTABLE=C:\Anaconda3\envs\tensorflow\python.exe -DPYTHON_LIBRARIES=C:\Anaconda3\envs\tensorflow\libs\python35.lib

首先，然后

`cmake .. -A x64 -DCMAKE_BUILD_TYPE=Release -DSWIG_EXECUTABLE=C:\swigwin-3.0.12\swig.exe -DPYTHON_EXECUTABLE=C:\Anaconda3\envs\tensorflow\python.exe -DPYTHON_LIBRARIES=C:\Anaconda3\envs\tensorflow\libs\python35.lib -Dtensorflow_BUILD_PYTHON_BINDINGS=OFF -Dtensorflow_ENABLE_GRPC_SUPPORT=OFF -Dtensorflow_BUILD_SHARED_LIB=ON`

我得到那些錯誤：

---

cmake : CMake Warning at CMakeLists.txt:9 (message):
Au caractère Ligne:1 : 1
+ cmake .. -A x64 -DCMAKE_BUILD_TYPE=Release -DSWIG_EXECUTABLE=C:\Users ...
+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    + CategoryInfo          : NotSpecified: (CMake Warning a...xt:9 (message)::String) [], RemoteException
    + FullyQualifiedErrorId : NativeCommandError

  Your current cmake generator is set to use 32 bit toolset architecture.

  This may cause "compiler out of heap space" errors when building.  Consider

  using the flag -Thost=x64 when running cmake.  Ignore this if you are on

  CMake GUI.



-- Selecting Windows SDK version  to target Windows 10.0.17763.
-- C:/Users/IMEDSYS/bin/tensorflow/tensorflow/contrib/cmake/build/abseil_cpp/src/abseil_cpp_build
-- Configuring done
CMake Error at tf_core_ops.cmake:77 (add_library):

  Cannot find source file:

    C:/Users/IMEDSYS/bin/tensorflow/tensorflow/contrib/factorization/ops/clustering_ops.cc

  Tried extensions .c .C .c++ .cc .cpp .cxx .cu .m .M .mm .h .hh .h++ .hm

  .hpp .hxx .in .txx

Call Stack (most recent call first):

  tf_core_ops.cmake:95 (GENERATE_CONTRIB_OP_LIBRARY)

  CMakeLists.txt:594 (include)



CMake Error at tf_core_ops.cmake:77 (add_library):

  Cannot find source file:

    C:/Users/IMEDSYS/bin/tensorflow/tensorflow/contrib/rnn/ops/gru_ops.cc

  Tried extensions .c .C .c++ .cc .cpp .cxx .cu .m .M .mm .h .hh .h++ .hm

  .hpp .hxx .in .txx

Call Stack (most recent call first):

  tf_core_ops.cmake:107 (GENERATE_CONTRIB_OP_LIBRARY)

  CMakeLists.txt:594 (include)



CMake Error at tf_core_ops.cmake:77 (add_library):

  Cannot find source file:

    C:/Users/IMEDSYS/bin/tensorflow/tensorflow/contrib/rnn/ops/lstm_ops.cc
  Tried extensions .c .C .c++ .cc .cpp .cxx .cu .m .M .mm .h .hh .h++ .hm

  .hpp .hxx .in .txx

Call Stack (most recent call first):

  tf_core_ops.cmake:108 (GENERATE_CONTRIB_OP_LIBRARY)

  CMakeLists.txt:594 (include)



CMake Error at tf_core_kernels.cmake:205 (add_library):

  Cannot find source file:

    C:/Users/IMEDSYS/bin/tensorflow/tensorflow/contrib/factorization/kernels/clustering_ops.cc

  Tried extensions .c .C .c++ .cc .cpp .cxx .cu .m .M .mm .h .hh .h++ .hm

  .hpp .hxx .in .txx

Call Stack (most recent call first):

  CMakeLists.txt:596 (include)



CMake Error at tf_core_ops.cmake:77 (add_library):

  No SOURCES given to target: tf_contrib_factorization_clustering_ops

Call Stack (most recent call first):

  tf_core_ops.cmake:95 (GENERATE_CONTRIB_OP_LIBRARY)

  CMakeLists.txt:594 (include)



CMake Error at tf_core_ops.cmake:77 (add_library):

  No SOURCES given to target: tf_contrib_rnn_gru_ops
Call Stack (most recent call first):

  tf_core_ops.cmake:107 (GENERATE_CONTRIB_OP_LIBRARY)

  CMakeLists.txt:594 (include)



CMake Error at tf_core_ops.cmake:77 (add_library):

  No SOURCES given to target: tf_contrib_rnn_lstm_ops

Call Stack (most recent call first):

  tf_core_ops.cmake:108 (GENERATE_CONTRIB_OP_LIBRARY)

  CMakeLists.txt:594 (include)



CMake Error at tf_core_ops.cmake:77 (add_library):

  No SOURCES given to target: tf_contrib_tpu_ops

Call Stack (most recent call first):

  tf_core_ops.cmake:115 (GENERATE_CONTRIB_OP_LIBRARY)

  CMakeLists.txt:594 (include)



CMake Error at tf_core_kernels.cmake:205 (add_library):

  No SOURCES given to target: tf_core_kernels

Call Stack (most recent call first):

  CMakeLists.txt:596 (include)



CMake Generate step failed.  Build files cannot be regenerated correctly.

---

這次，我感覺僅僅是CMake尋找已折舊或已重定位的文件。

所以，

我的問題很簡單：

• 有人有2個版本的bazel和tensorflow實際上一起工作嗎（因為它似乎對某些人有用=>我考慮嘗試伏都教）？
• 有人有使用Tensorflow的c_api或C ++ API的非常簡單的解決方案嗎？
• 有人知道使用C ++內置軟件的Keras或Tensorflow輸出（.hdf5或.pb）進行預測的另一種方法，而不會像“ system（“ python預報.py”）“那樣令人作嘔嗎？

---

預先感謝您的快速解答！ :)

Answer 1

我已經使用Cmake為VS 2017構建了較舊的Tensorflow版本（不是2.）做過類似的工作。

uda 9。 Tensorflow 1.14與2017年。