Es handelt sich also eindeutig um ein Kompilierungs- und Verknüpfungsproblem. Diese Attribute sind Teil derselben Protobuf-Nachricht:

https://github.com/tensorflow/tensorflow/blob/r1.12/tensorflow/core/protobuf/config.proto

Das Symbol, das sie adressieren, hat also denselben Namen.

Welches ist

? fixed_address_empty_string@internal@protobuf@google@@3V ? $ExplicitlyConstructed@V? $basic_string@DU? $char_traits@D@std@@V ? $Zuordner@D@2@@std@@@123@A

Wie ist es für den Kompilierungsprozess möglich, eine andere Speicheradresse für dasselbe Protobuf-Symbol als die Nachricht in der obigen .cc-Datei zu adressieren?

Erwähnung eines ähnlichen Problems:
https://github.com/tensorflow/tensorflow/issues/23542

Wo ist die Objektdatei für diese oben erwähnte config.proto-Datei?

ich könnte finden

bazel-bin/tensorflow/core/_objs/master_proto_cc/master.pb.o

Ich könnte versuchen, dagegen zu verlinken, anstatt das Symbol von tensorflow.dll

Aber ich muss noch einen Symbol-Dump von dieser Datei machen, um zu sehen, ob

?fixed_address_empty_string@internal@protobuf@google@@3v?$ExplicitlyConstructed@V?$basic_string@DU?$char_traits@D@std@@v?$allocator@D@2@@std@@@123@A ist da.

Hier ist ein weiteres Zeichen der Hoffnung:

https://github.com/tensorflow/tensorflow/issues/23542#issuecomment -523826053

Erwähnung von @ttdd11 @Steroes @ZhuoranLyu @brantl @sitting-duck, die schon einmal in der Nähe dieses Problems waren.

Okay hier ist es

Aus meinem kontinuierlichen Integrationstest

101 $ cl -nologo -EHsc -GR -Zc:forScope -Zc:wchar_t  .\main.cpp .\tensorflow-r1.12\bazel-bin\tensorflow\tensorflow_cc.lib .\tensorflow-r1.12\bazel-bin\tensorflow\tensorflow_framework.lib .\protobuf-3.6.0\lib\libprotobuf.lib  /I.\abseil-cpp-kognat\include /I.\eigen-fd6845384b86\include /I.\eigen-fd6845384b86\include\eigen3 /I.\protobuf-3.6.0\include /I.\tensorflow-r1.12 /I.\tensorflow-r1.12\bazel-genfiles;
102 main.cpp
103 $ Set-Item -Path Env:Path -Value ("C:\Program Files (x86)\Microsoft Visual Studio 14.0\Common7\IDE\CommonExtensions\Microsoft\TestWindow;C:\Program Files (x86)\MSBuild\14.0\bin\amd64;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\BIN\amd64;C:\Windows\Microsoft.NET\Framework64\v4.0.30319;C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\VCPackages;C:\Program Files (x86)\Microsoft Visual Studio 14.0\Common7\IDE;C:\Program Files (x86)\Microsoft Visual Studio 14.0\Common7\Tools;C:\Program Files (x86)\HTML Help Workshop;C:\Program Files (x86)\Microsoft Visual Studio 14.0\Team Tools\Performance Tools\x64;C:\Program Files (x86)\Microsoft Visual Studio 14.0\Team Tools\Performance Tools;C:\Program Files (x86)\Windows Kits\10\bin\x64;C:\Program Files (x86)\Windows Kits\10\bin\x86;C:\Program Files (x86)\Microsoft SDKs\Windows\v10.0A\bin\NETFX 4.6.1 Tools\x64\;C:\Perl64\site\bin;C:\Perl64\bin;C:\ProgramData\Anaconda3;C:\ProgramData\Anaconda3\Library\mingw-w64\bin;C:\ProgramData\Anaconda3\Library\usr\bin;C:\ProgramData\Anaconda3\Library\bin;C:\ProgramData\Anaconda3\Scripts;C:\Windows\system32;C:\Windows;C:\Windows\System32\Wbem;C:\Windows\System32\WindowsPowerShell\v1.0\;C:\Windows\System32\OpenSSH\;C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common;C:\Program Files (x86)\Kognat\shared_libraries;C:\Users\Sam Hodge\.dnx\bin;C:\Program Files\Microsoft DNX\Dnvm\;C:\Program Files\Microsoft SQL Server\130\Tools\Binn\;C:\Program Files (x86)\Windows Kits\10\Windows Performance Toolkit\;C:\Program Files\Git\cmd;C:\Program Files (x86)\Bazel;C:\Program Files\CMake\bin;C:\Program Files\Git LFS;C:\Program Files\7-Zip;C:\Program Files (x86)\GnuWin32\bin;C:\Program Files (x86)\wget-1.20.3-win64;C:\Program Files\NASM;C:\msys64\mingw64\bin;C:\msys64\usr\bin;C:\msys64\clang64\bin;C:\Users\Sam Hodge\AppData\Local\Microsoft\WindowsApps;.\protobuf-3.6.0\bin;.\tensorflow-r1.12\bazel-bin\tensorflow;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.2\extras\CUPTI\libx64;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.2\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\cudnn-9.2-windows10-x64-v7.5.0.56\cuda\bin;")
104 $ .\main.exe
105 allocator_type 0
106 visible_device_list 0
107 address visible_device_list 00007FFE73777BC0
108 address allocator_type 00007FFE73777BC0
109 Job succeeded

Hier ist main.cpp

include "tensorflow/core/protobuf/control_flow.pb.h"
#include "tensorflow/core/protobuf/config.pb.h"
#include <iostream>

int main() {
  tensorflow::GPUOptions gpu_options;

  gpu_options.set_visible_device_list("0");

  std::cout << "allocator_type " << gpu_options.allocator_type() << std::endl; //print 0
  std::cout << "visible_device_list " << gpu_options.visible_device_list() << std::endl; //print 0
  std::cout << "address visible_device_list " << static_cast<const void*>((gpu_options.visible_device_list().c_str())) << std::endl; //Where is this damn string
  std::cout << "address allocator_type " << static_cast<const void*>((gpu_options.allocator_type().c_str())) << std::endl; //Where is this damn string

}

Jetzt werde ich sehen, ob ich es irgendwie zum Laufen bekomme, damit diese beiden Dinge nicht übereinander liegen.

Kann mir jemand beschreiben wie

https://github.com/tensorflow/tensorflow/blob/r1.12/tensorflow/core/protobuf/config.proto

Werden diese beiden std::string.c_str() auf demselben Speicherbit?

Ich verstehe den Protobuf- und Bazel-Prozess nicht besonders gut.

Hier ist der Inhalt von config.pb.h config.pb.cc
config.pb.h.zip
config.pb.cc.zip

gefunden in .\tensorflow-r1.12\bazel-genfiles\tensorflow\core\protobuf

in den angehängten ZIP-Dateien

Hier sind die control_flow.pb.h und control_flow.pb.cc als .zip-Dateien auch von .\tensorflow-r1.12\bazel-genfiles\tensorflow\core\protobuf

control_flow.pb.h.zip
control_flow.pb.cc.zip

Der gleiche Code auf einer statischen Version von Tensorflow mit dem gleichen Code unter Linux hat nicht die gleiche Adresse.

@sanjoy Wenn Sie zusätzliche Informationen benötigen, wird alles, was ich tue, durch wiederholbare Skripte in einer CI-Umgebung ausgelöst. Dies ist kein Roulette-Prozess, sondern ein wiederholbarer Prozess.

@gunan Hast du jemanden, der daran arbeitet?

Tritt das Problem bei einer neueren Version auf?
1.12 befindet sich definitiv außerhalb unseres Supportfensters. Ich kann versuchen, dies auf 1.15 zu erkunden, aber realistischerweise sind Master oder 2.2 diejenigen, bei denen ich am meisten helfen kann.

@gunan

Ich werde es versuchen, aber r1.12+ erfordert Hardwareanweisungen, die moderner sind als einige ältere Hardware, die ich unterstützen wollte, denke ich, AVX, AVX2 und SSE4

Ich werde sehen, ob ich den Build auf einer Cloud-Box durchführen kann. Ich glaube, andere haben über 1.15 berichtet. Ich werde sehen, ob ich zuerst einen Hinweis darauf finden kann, bevor ich eine ganz neue Build-Plattform auf den Weg bringe.

Sam

Ich bin überrascht, das zu hören. Wenn Sie aus Quellen bauen, sollten Sie in der Lage sein, ohne erweiterte Befehlssätze zu bauen. Ich würde gerne helfen, wenn das passiert (wir können ein anderes Problem dafür erstellen)

Auch mit r1.12 muss eine Problemumgehung für Nasm und OpenSSL vorgenommen werden. Ich werde sehen, ob ich den Fehler irgendwann in der nächsten Woche mit r1.15 reproduzieren kann.

Tritt das Problem bei einer neueren Version auf?
1.12 befindet sich definitiv außerhalb unseres Supportfensters. Ich kann versuchen, dies auf 1.15 zu erkunden, aber realistischerweise sind Master oder 2.2 diejenigen, bei denen ich am meisten helfen kann.

Ich erlebe das gleiche auf 1.15.3. Wie auch andere, wie zum Beispiel: https://github.com/tensorflow/tensorflow/issues/16291#issuecomment -573886148

Tut mir leid, ich hatte nie Zeit, einen Build mit 1.15 oder 1.14 zu machen. Ich werde sehen, ob es die Zeit heute erlaubt.

Ich baue gerade aus

https://github.com/tensorflow/tensorflow/commit/00fad90125b18b80fe054de1055770cfb8fe4ba3

Um zu sehen, ob das Problem dort besteht:

Die Toolkette ist Bazelisk Win 64, Anaconda Python 3, MSYS2 für Patch und Bash, CUDA 9.2.1.148 CUDNN 7.0.5.56 MSVC 2015 Community auf einer T4-Box auf AWS mit Windows 2019 Datacenter Edition.

    - $env:buildfolder=Get-Location
    - Start-Sleep -s 3
    - . $Env:buildfolder\buildenv.ps1
    - Start-Sleep -s 3
    - . $Env:buildfolder\build-tf.ps1
    - Start-Sleep -s 1

Wo die folgenden sind

buildenv.ps1

pushd 'C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC'    
cmd /c "vcvarsall.bat x64 & set" |
foreach {
  if ($_ -match "=") {
    $v = $_.split("="); set-item -force -path "ENV:\$($v[0])"  -value "$($v[1])"
  }
}
popd
write-host "`nVisual Studio 2015 Command Prompt variables set." -ForegroundColor Yellow

build-tf.ps1

$ENV:USE_BAZEL_VERSION="0.24.1"
$ENV:PYTHON_BIN_PATH=C:\\ProgramData\\Anaconda3\\python.exe
$ENV:Path += ";C:\\msys64\\usr\\bin"
$ENV:Path += ";C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v9.2\\bin"
$ENV:Path += ";C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v9.2\\extras\\CUPTI\\libx64"
$ENV:Path += ";C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\cudnn-9.2-windows10-x64-v7.5.0.56\\cuda\\bin"
$ENV:BAZEL_SH = "C:\\msys64\\usr\\bin\\bash.exe"
$ENV:CUDA_TOOLKIT_PATH="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v9.2\\"
$ENV:TF_CUDA_VERSION="9.2"
$ENV:CUDNN_INSTALL_PATH="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\cudnn-9.2-windows10-x64-v7.5.0.56\\cuda"
$ENV:TF_CUDNN_VERSION="7"
$ENV:TF_NCCL_VERSION="1"
$ENV:TF_CUDA_COMPUTE_CAPABILITIES="3.5,3.7,5.0,5.2,6.0,6.1"
$ENV:TF_CUDA_CLANG="0"
$ENV:TF_NEED_CUDA="1"
$ENV:TF_NEED_ROCM="0"
$ENV:TF_NEED_OPENCL_SYCL="0"


$params = "configure.py",""
cmd /c "ECHO Y" | & python.exe <strong i="19">@params</strong> 
bazel.exe clean --expunge
bazel.exe build --copt=-nvcc_options=disable-warnings --test_tag_filters=-no_oss,-gpu,-benchmark-test,-nomac,-no_mac --announce_rc --test_timeout 300,450,1200,3600 --test_size_filters=small,medium --jobs=12 //tensorflow:tensorflow_cc.dll 

Der Build wurde jetzt erfolgreich abgeschlossen, um den Treiber zu erstellen und zu sehen, ob das Problem besteht.

Sechs Stunden später ist das Ergebnis dasselbe wie r1.12 in r1.14

C:\GitLabRunner\builds\dmyz3-NF\0\sam\tf-mem-overlap>.\main.exe
allocator_type 0
visible_device_list 0
address visible_device_list 00007FFBA38A5C40
address allocator_type 00007FFBA38A5C40

C:\GitLabRunner\builds\dmyz3-NF\0\sam\tf-mem-overlap>

Auch

tensorflow_cc.lib heißt aus unbekannten Gründen libtensorflow_cc.dll.ifso .

Aber ich habe protobuf 3.7.1 und das vorhandene nsync und abseil-cpp von vorher verwendet

Bauen ab

https://github.com/tensorflow/tensorflow/pull/32503/commits/907a06dfe7533889104a0726d6f12cc9f4669000

Das ist r1.15.1

Die Kompilierung ist fehlgeschlagen

SET PWD=/proc/self/cwd
3383     SET PYTHON_BIN_PATH=C:/ProgramData/Anaconda3/python.exe
3384     SET PYTHON_LIB_PATH=C:/ProgramData/Anaconda3/lib/site-packages
3385     SET TEMP=C:\Windows\TEMP
3386     SET TF_CONFIGURE_IOS=0
3387     SET TF_CUDA_COMPUTE_CAPABILITIES=3.5,3.7,5.0,5.2,6.0,6.1
3388     SET TF_CUDA_VERSION=9.2
3389     SET TF_CUDNN_VERSION=7
3390     SET TF_NCCL_VERSION=1
3391     SET TF_NEED_CUDA=1
3392     SET TMP=C:\Windows\TEMP
3393   C:/ProgramData/Anaconda3/python.exe -B external/local_config_cuda/crosstool/windows/msvc_wrapper_for_nvcc.py /nologo /DCOMPILER_MSVC /DNOMINMAX /D_WIN32_WINNT=0x0600 /D_CRT_SECURE_NO_DEPRECATE /D_CRT_SECURE_NO_WARNINGS /D_SILENCE_STDEXT_HASH_DEPRECATION_WARNINGS /bigobj /Zm500 /J /Gy /GF /EHsc /wd4351 /wd4291 /wd4250 /wd4996 /I. /Ibazel-out/x64_windows-opt/genfiles /Ibazel-out/x64_windows-opt/bin /Iexternal/com_google_absl /Ibazel-out/x64_windows-opt/genfiles/external/com_google_absl /Ibazel-out/x64_windows-opt/bin/external/com_google_absl /Iexternal/eigen_archive /Ibazel-out/x64_windows-opt/genfiles/external/eigen_archive /Ibazel-out/x64_windows-opt/bin/external/eigen_archive /Iexternal/local_config_sycl /Ibazel-out/x64_windows-opt/genfiles/external/local_config_sycl /Ibazel-out/x64_windows-opt/bin/external/local_config_sycl /Iexternal/nsync /Ibazel-out/x64_windows-opt/genfiles/external/nsync /Ibazel-out/x64_windows-opt/bin/external/nsync /Iexternal/gif_archive /Ibazel-out/x64_windows-opt/genfiles/external/gif_archive /Ibazel-out/x64_windows-opt/bin/external/gif_archive /Iexternal/jpeg /Ibazel-out/x64_windows-opt/genfiles/external/jpeg /Ibazel-out/x64_windows-opt/bin/external/jpeg /Iexternal/com_google_protobuf /Ibazel-out/x64_windows-opt/genfiles/external/com_google_protobuf /Ibazel-out/x64_windows-opt/bin/external/com_google_protobuf /Iexternal/com_googlesource_code_re2 /Ibazel-out/x64_windows-opt/genfiles/external/com_googlesource_code_re2 /Ibazel-out/x64_windows-opt/bin/external/com_googlesource_code_re2 /Iexternal/farmhash_archive /Ibazel-out/x64_windows-opt/genfiles/external/farmhash_archive /Ibazel-out/x64_windows-opt/bin/external/farmhash_archive /Iexternal/fft2d /Ibazel-out/x64_windows-opt/genfiles/external/fft2d /Ibazel-out/x64_windows-opt/bin/external/fft2d /Iexternal/highwayhash /Ibazel-out/x64_windows-opt/genfiles/external/highwayhash /Ibazel-out/x64_windows-opt/bin/external/highwayhash /Iexternal/zlib_archive /Ibazel-out/x64_windows-opt/genfiles/external/zlib_archive /Ibazel-out/x64_windows-opt/bin/external/zlib_archive /Iexternal/double_conversion /Ibazel-out/x64_windows-opt/genfiles/external/double_conversion /Ibazel-out/x64_windows-opt/bin/external/double_conversion /Iexternal/snappy /Ibazel-out/x64_windows-opt/genfiles/external/snappy /Ibazel-out/x64_windows-opt/bin/external/snappy /Iexternal/local_config_cuda /Ibazel-out/x64_windows-opt/genfiles/external/local_config_cuda /Ibazel-out/x64_windows-opt/bin/external/local_config_cuda /Iexternal/local_config_tensorrt /Ibazel-out/x64_windows-opt/genfiles/external/local_config_tensorrt /Ibazel-out/x64_windows-opt/bin/external/local_config_tensorrt /Ibazel-out/x64_windows-opt/bin/external/local_config_cuda/cuda/_virtual_includes/cuda_headers_virtual /Ibazel-out/x64_windows-opt/bin/external/local_config_tensorrt/_virtual_includes/tensorrt_headers /Ibazel-out/x64_windows-opt/bin/external/local_config_cuda/cuda/_virtual_includes/cudnn_header /Ibazel-out/x64_windows-opt/bin/external/local_config_cuda/cuda/_virtual_includes/cublas_headers_virtual /Iexternal/eigen_archive /Ibazel-out/x64_windows-opt/genfiles/external/eigen_archive /Ibazel-out/x64_windows-opt/bin/external/eigen_archive /Iexternal/nsync/public /Ibazel-out/x64_windows-opt/genfiles/external/nsync/public /Ibazel-out/x64_windows-opt/bin/external/nsync/public /Iexternal/gif_archive /Ibazel-out/x64_windows-opt/genfiles/external/gif_archive /Ibazel-out/x64_windows-opt/bin/external/gif_archive /Iexternal/gif_archive/windows /Ibazel-out/x64_windows-opt/genfiles/external/gif_archive/windows /Ibazel-out/x64_windows-opt/bin/external/gif_archive/windows /Iexternal/com_google_protobuf/src /Ibazel-out/x64_windows-opt/genfiles/external/com_google_protobuf/src /Ibazel-out/x64_windows-opt/bin/external/com_google_protobuf/src /Iexternal/farmhash_archive/src /Ibazel-out/x64_windows-opt/genfiles/external/farmhash_archive/src /Ibazel-out/x64_windows-opt/bin/external/farmhash_archive/src /Iexternal/zlib_archive /Ibazel-out/x64_windows-opt/genfiles/external/zlib_archive /Ibazel-out/x64_windows-opt/bin/external/zlib_archive /Iexternal/double_conversion /Ibazel-out/x64_windows-opt/genfiles/external/double_conversion /Ibazel-out/x64_windows-opt/bin/external/double_conversion /Iexternal/local_config_cuda/cuda /Ibazel-out/x64_windows-opt/genfiles/external/local_config_cuda/cuda /Ibazel-out/x64_windows-opt/bin/external/local_config_cuda/cuda /Iexternal/local_config_cuda/cuda/cuda/include /Ibazel-out/x64_windows-opt/genfiles/external/local_config_cuda/cuda/cuda/include /Ibazel-out/x64_windows-opt/bin/external/local_config_cuda/cuda/cuda/include /Iexternal/local_config_cuda/cuda/cublas/include /Ibazel-out/x64_windows-opt/genfiles/external/local_config_cuda/cuda/cublas/include /Ibazel-out/x64_windows-opt/bin/external/local_config_cuda/cuda/cublas/include /D__CLANG_SUPPORT_DYN_ANNOTATION__ /DEIGEN_MPL2_ONLY /DEIGEN_MAX_ALIGN_BYTES=64 /DEIGEN_HAS_TYPE_TRAITS=0 /DTF_USE_SNAPPY /showIncludes /MD /O2 /DNDEBUG -w -DWIN32_LEAN_AND_MEAN -DNOGDI -nvcc_options=disable-warnings /Fobazel-out/x64_windows-opt/bin/tensorflow/core/grappler/optimizers/data/_objs/rebatch/rebatch.o /c tensorflow/core/grappler/optimizers/data/rebatch.cc
3394 Execution platform: @bazel_tools//platforms:host_platform
3395 tensorflow/core/grappler/optimizers/data/rebatch.cc(66): fatal error C1001: An internal error has occurred in the compiler.
3396 (compiler file 'msc1.cpp', line 1468)
3397  To work around this problem, try simplifying or changing the program near the locations listed above.
3398 Please choose the Technical Support command on the Visual C++ 
3399  Help menu, or open the Technical Support help file for more information
3400 Internal Compiler Error in C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\bin\amd64\cl.exe.  You will be prompted to send an error report to Microsoft later.
3401 INTERNAL COMPILER ERROR in 'C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\bin\amd64\cl.exe'
3402     Please choose the Technical Support command on the Visual C++
3403     Help menu, or open the Technical Support help file for more information
3404 Target //tensorflow:tensorflow_cc.dll failed to build
3405 INFO: Elapsed time: 818.490s, Critical Path: 626.64s
3406 INFO: 2724 processes: 2724 local.

Die einzigen Änderungen an

https://github.com/tensorflow/tensorflow/commit/907a06dfe7533889104a0726d6f12cc9f4669000

Wurden die folgenden oben genannten Dateien mit r1.14

Die zu verwendende Bazel-Version wird für r1.15 nicht erwähnt

sehen:

https://www.tensorflow.org/install/source_windows

Ich werde das Rad noch einmal mit bazel 0.26.1 drehen und sehen, ob sich das verbessert.

@gunan

Dasselbe gilt für 'Bazel 0.26.1'

Ich demonstriere den Fehler gerne mit r1.15, wenn Sie klare Anweisungen zum Erstellen des Ziels geben können

tensorflow_cc.dll

Die Dokumente enthalten diese Version nicht als getestet

Es gibt keine Empfehlung für die MSVC-Version zur Verwendung der Bazel-Version

Sam

@sanjoy @gunan
Dies wurde im Februar 2019 hier gemeldet

https://github.com/tensorflow/tensorflow/issues/23542#issuecomment -464730964

Es ist immer noch in r1.14 vorhanden

Ich kann mir vorstellen, dass der Fehler in r2.2 noch vorhanden sein wird

Kann mir das jemand anderes bestätigen?

OK, weiter mit der Show

Erstellen Sie tensorflow_cc.dll wie folgt

In einer Powershell auf einer AWS T4 Box mit 48 Kernen und 4 T4 Turing Karten

Mit folgendem installiert

msys2 mit Patch über Pacman
MSVC 2015 Community Edition für C++
Anaconda-Python 3
Baselisk für Win 64
CUDA-Toolkit 9.2.1.148
CUDNN 7.0.5.56

git pull https://github.com/tensorflow/tensorflow.git
cd tensorflow
git checkout r2.2
cp ..\build-tf.ps1 .
. .\build-tf.ps1

Wobei build-tf.ps1 wie folgt ist

$ENV:USE_BAZEL_VERSION="2.0.0"
$ENV:PYTHON_BIN_PATH="C:\ProgramData\Anaconda3\python.exe"
$ENV:Path += ";C:\msys64\usr\bin"
$ENV:Path += ";C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.2\bin"
$ENV:Path += ";C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.2\extras\CUPTI\libx64"
$ENV:Path += ";C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\cudnn-9.2-windows10-x64-v7.5.0.56\cuda\bin"
$ENV:BAZEL_SH = "C:\msys64\usr\bin\bash.exe"
$ENV:CUDA_TOOLKIT_PATH="C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.2\"
$ENV:TF_CUDA_VERSION="9.2"
$ENV:CUDNN_INSTALL_PATH="C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\cudnn-9.2-windows10-x64-v7.5.0.56\cuda"
$ENV:TF_CUDNN_VERSION="7"
$ENV:TF_NCCL_VERSION="1"
$ENV:TF_CUDA_COMPUTE_CAPABILITIES="3.5,3.7,5.0,5.2,6.0,6.1"
$ENV:TF_CUDA_CLANG="0"
$ENV:TF_NEED_CUDA="1"
$ENV:TF_NEED_ROCM="0"
$ENV:TF_NEED_OPENCL_SYCL="0"


$params = "configure.py",""
cmd /c "ECHO Y" | & python.exe <strong i="18">@params</strong> 
bazel.exe clean --expunge
bazel.exe build --copt=-nvcc_options=disable-warnings --test_tag_filters=-no_oss,-gpu,-benchmark-test,-nomac,-no_mac --announce_rc --test_timeout 300,450,1200,3600 --test_size_filters=small,medium --jobs=48 //tensorflow:tensorflow_cc.dll  

Ich warte auf das Ergebnis und baue abseil, nsync und protobuf über CMake, um gegen den Treiber zu bauen.

include "tensorflow/core/protobuf/control_flow.pb.h"
#include "tensorflow/core/protobuf/config.pb.h"
#include <iostream>

int main() {
  tensorflow::GPUOptions gpu_options;

  gpu_options.set_visible_device_list("0");

  std::cout << "allocator_type " << gpu_options.allocator_type() << std::endl; //print 0
  std::cout << "visible_device_list " << gpu_options.visible_device_list() << std::endl; //print 0
  std::cout << "address visible_device_list " << static_cast<const void*>((gpu_options.visible_device_list().c_str())) << std::endl; //Where is this damn string
  std::cout << "address allocator_type " << static_cast<const void*>((gpu_options.allocator_type().c_str())) << std::endl; //Where is this damn string

}

Welche ähnlich gebaut werden

cl -nologo -EHsc -GR -Zc:forScope -Zc:wchar_t  .\main.cpp .\tensorflow-r2.2\bazel-bin\tensorflow\tensorflow_cc.lib .\tensorflow-r2.2\bazel-bin\tensorflow\tensorflow_framework.lib .\protobuf-3.8.0\lib\libprotobuf.lib  /I.\abseil-cpp-kognat\include /I.\eigen-fd6845384b86\include /I.\eigen-fd6845384b86\include\eigen3 /I.\protobuf-3.6.0\include /I.\tensorflow-r2.2 /I.\tensorflow-r1.12\bazel-genfiles;

Hier ist der Speicherort von protobuf aus workspace.bzl

https://github.com/protocolbuffers/protobuf/archive/310ba5ee72661c081129eb878c1bbcec936b20f0.tar.gz

Ich werde sehen, ob ich das erforderliche abseil-cpp und nsync finden kann, falls überhaupt erforderlich.

Das endete nicht gut

ERROR: C:/users/administrator/dev/tensorflow/tensorflow/core/framework/BUILD:582:1: C++ compilation of rule '//tensorflow/core/framework:bfloat16' failed (Exit 2)
c:\users\administrator\_bazel_administrator\ybx4nglg\execroot\org_tensorflow\external\eigen_archive\unsupported\eigen\cxx11\src/Tensor/TensorBlock.h(1028): error C2061: syntax error: identifier 'Kind'
c:\users\administrator\_bazel_administrator\ybx4nglg\execroot\org_tensorflow\external\eigen_archive\unsupported\eigen\cxx11\src/Tensor/TensorBlock.h(1134): note: see reference to class template instantiation 'Eigen::internal::StridedLinearBufferCopy<Scalar,IndexType>' being compiled
c:\users\administrator\_bazel_administrator\ybx4nglg\execroot\org_tensorflow\external\eigen_archive\unsupported\eigen\cxx11\src/Tensor/TensorBlock.h(1037): error C2061: syntax error: identifier 'Kind'
Target //tensorflow:tensorflow_cc.dll failed to build

Ich denke, ich installiere MSVC 2019 und versuche es erneut.

@gunan Kann sich jemand darum kümmern, hat dieses Projekt genügend Ressourcen für die Wartung von Windows und C++?

Das verschwendet meine Zeit

https://github.com/tensorflow/tensorflow/issues/36252#issue -555630489

Versuchen Sie es erneut mit Master auf MSVC 2015

Hier sind die Fehler vom Meister a7d8140e60d351d25ee3ba8236d8badf975dcada

Mit MSVC 2015

ERROR: C:/users/administrator/dev/tensorflow/tensorflow/core/lib/monitoring/BUILD:176:1: C++ compilation of rule '//tensorflow/core/lib/monitoring:percentile_sampler' failed (Exit
2)
tensorflow/core/lib/monitoring/percentile_sampler.cc(32): error C2679: binary '=': no operator found which takes a right-hand operand of type 'initializer list' (or there is no acc
eptable conversion)
.\tensorflow/core/lib/monitoring/percentile_sampler.h(71): note: could be 'tensorflow::monitoring::PercentileSamplerCell::Sample &tensorflow::monitoring::PercentileSamplerCell::Sam
ple::operator =(tensorflow::monitoring::PercentileSamplerCell::Sample &&)'
.\tensorflow/core/lib/monitoring/percentile_sampler.h(71): note: or       'tensorflow::monitoring::PercentileSamplerCell::Sample &tensorflow::monitoring::PercentileSamplerCell::Sam
ple::operator =(const tensorflow::monitoring::PercentileSamplerCell::Sample &)'
tensorflow/core/lib/monitoring/percentile_sampler.cc(32): note: while trying to match the argument list '(tensorflow::monitoring::PercentileSamplerCell::Sample, initializer list)'
tensorflow/core/lib/monitoring/percentile_sampler.cc(76): error C2440: 'initializing': cannot convert from 'initializer list' to 'tensorflow::monitoring::PercentilePoint'
tensorflow/core/lib/monitoring/percentile_sampler.cc(76): note: No constructor could take the source type, or constructor overload resolution was ambiguous
Target //tensorflow:tensorflow_cc.dll failed to build
ERROR: C:/users/administrator/dev/tensorflow/tensorflow/cc/BUILD:545:1 C++ compilation of rule '//tensorflow/core/lib/monitoring:percentile_sampler' failed (Exit 2)
INFO: Elapsed time: 665.647s, Critical Path: 24.18s
INFO: 1275 processes: 1275 local.

Wiederholen Sie dies mit MSVC 2019 wie folgt

AWS mit 4 T4 Turing Cards und 48 virtuellen Kernen und 190 GB RAM und MS Server 2019

Anaconda-basiertes Python
MSYS2 für Patch, Perl und Bash
MSVC 2019 Community-Edition
Win64 Bazelisk

buildenv.ps1

pushd 'C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Auxiliary\Build\'    
cmd /c "vcvarsall.bat x64 & set" |
foreach {
  if ($_ -match "=") {
    $v = $_.split("="); set-item -force -path "ENV:\$($v[0])"  -value "$($v[1])"
  }
}
popd
write-host "`nVisual Studio 2019 Command Prompt variables set." -ForegroundColor Yellow

build-tf.ps1

$ENV:USE_BAZEL_VERSION="2.0.0"
$ENV:PYTHON_BIN_PATH="C:/ProgramData/Anaconda3/python.exe"
$ENV:PYTHON_LIB_PATH="C:/ProgramData/Anaconda3/"
$ENV:Path += ";C:/msys64/usr/bin"
$ENV:Path += ";C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v9.2/bin"
$ENV:Path += ";C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v9.2/extras/CUPTI/libx64"
$ENV:Path += ";C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/cudnn-9.2-windows10-x64-v7.5.0.56/cuda/bin"
$ENV:BAZEL_SH = "C:/msys64/usr/bin/bash.exe"
$ENV:CUDA_TOOLKIT_PATH="C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v9.2/"
$ENV:TF_CUDA_VERSION="9.2"
$ENV:CUDNN_INSTALL_PATH="C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/cudnn-9.2-windows10-x64-v7.5.0.56/cuda"
$ENV:TF_CUDNN_VERSION="7"
$ENV:TF_NCCL_VERSION="1"
$ENV:TF_CUDA_COMPUTE_CAPABILITIES="3.5,3.7,5.0,5.2,6.0,6.1"
$ENV:TF_CUDA_CLANG="0"
$ENV:TF_NEED_CUDA="1"
$ENV:TF_NEED_ROCM="0"
$ENV:TF_NEED_OPENCL_SYCL="0"


$params = "configure.py",""
cmd /c "ECHO Y" | & python.exe <strong i="17">@params</strong> 
bazel.exe clean --expunge
bazel.exe build --copt=-nvcc_options=disable-warnings --test_tag_filters=-no_oss,-gpu,-benchmark-test,-nomac,-no_mac --announce_rc --test_timeout 300,450,1200,3600 --test_size_filters=small,medium --jobs=48 //tensorflow:tensorflow_cc.dll  

Schritte:

1. Powershell öffnen
2. Quelle buildenv.ps1
3. git-Klon-Tensorflow-URL
4. git checkout r2.2
5. Quelle build-tf.ps1

.tf_configure.bazelrc.zip

bazel config beigefügt, meldet Erfolg oder Fehler.

Wir haben definitiv einen Mangel an Experten für Fenster.
TF erfordert c++14, daher funktioniert das Erstellen mit msvc 2015 nicht.

Ich versuche immer noch zu analysieren, was Sie mit "Überlappung der Speicheradresse zwischen String-GPU-Optionen für "Allocator-Typ" und "Liste der sichtbaren Geräte"" meinen.
Meinst du damit, dass du ein Feld einstellst und das andere versehentlich geändert wird?

Wenn das der Fall ist, ist die Reproduktion, die Sie haben, ziemlich indirekt. Könnten Sie in Ihrem Reproduktionscode dasselbe Feld vor und nach dem Festlegen der visible_device_list drucken?
Andernfalls kann eine andere Ursache einfach sein, dass Ihre GPU möglicherweise nicht 80 % ihres Arbeitsspeichers verfügbar hat.

Außerdem ist t ensorflow:GpuOptions ein einfacher Protokollpuffer. Ich sehe, dass Sie libprotobuf separat erstellen und versuchen, das zu verwenden. Dieser Workflow wird derzeit strengstens nicht unterstützt, und ich vermute sehr, dass dies zu einer Beschädigung Ihrer Protokollpuffer führen kann.

Hier ist das Ergebnis von CUDA 9.2.1.148 und MSVC 2019

ERROR: C:/users/administrator/dev/tensorflow/tensorflow/core/kernels/BUILD:4983:1: C++ compilation of rule '//tensorflow/core/kernels:batch_space_ops_gpu' failed (Exit 2)
C:\users\administrator\_bazel_administrator\ybx4nglg\execroot\org_tensorflow\bazel-out\x64_windows-opt\bin\external\local_config_cuda\cuda\cuda\include\crt/host_config.h(133): fatal error C1189: #error:  -- unsupported Microsoft Visual Studio version! Only the versions 2012, 2013, 2015 and 2017 are supported!
Target //tensorflow:tensorflow_cc.dll failed to build
INFO: Elapsed time: 949.225s, Critical Path: 209.47s
INFO: 4621 processes: 4621 local.
FAILED: Build did NOT complete successfully

Also werde ich jetzt zum Kichern MSVC 2017 installieren und sehen, ob ich weiterkomme, CUDA Toolkit 9.2.1.148 ist eine Voraussetzung für die Kompatibilität.

Ich versuche immer noch zu analysieren, was Sie mit "Überlappung der Speicheradresse zwischen String-GPU-Optionen für "Allocator-Typ" und "Liste der sichtbaren Geräte"" meinen.
Meinst du damit, dass du ein Feld einstellst und das andere versehentlich geändert wird?

Ja, das meine ich, sorry, wenn das aus dem Betteln nicht klar wurde

Könnten Sie den Treiber ändern, um besser zu demonstrieren, was er meiner Meinung nach deutlich macht?

Wenn das der Fall ist, ist die Reproduktion, die Sie haben, ziemlich indirekt. Könnten Sie in Ihrem Reproduktionscode dasselbe Feld vor und nach dem Festlegen der visible_device_list drucken?

Ja, das kann ich jetzt in r1.14 tun.

Andernfalls kann eine andere Ursache einfach sein, dass Ihre GPU möglicherweise nicht 80 % ihres Arbeitsspeichers verfügbar hat.

Außerdem ist t ensorflow:GpuOptions ein einfacher Protokollpuffer. Ich sehe, dass Sie libprotobuf separat erstellen und versuchen, das zu verwenden. Dieser Workflow wird derzeit strengstens nicht unterstützt, und ich vermute sehr, dass dies zu einer Beschädigung Ihrer Protokollpuffer führen kann.

Was ist der unterstützte Workflow?

In Tensorflow gibt es keine Protobuf-Symbole.

Unglücklicherweise bestand die einzige zuverlässige Möglichkeit, die Sache unter Windows zum Laufen zu bringen, soweit wir das sehen konnten, darin, TF statisch zu verknüpfen. Protobuf ist in der Tat vollständig in TF eingebunden, jedoch sind viele der Symbole ausgeblendet, da wir unter Windows immer wieder die Symbolgrenze von ~64K erreichen. Wir arbeiten daran, unsere API zu verfeinern, aber da wir später Windows-Unterstützung hinzugefügt haben und nur das verfügbar gemacht haben, was wir in unseren begrenzten Experimenten als erforderlich gesehen haben, fehlen viele Symbole auf der API-Oberfläche. Wir können zusammenarbeiten, um einige Symbole freizulegen, oder einige lokale Modifikationen/Patches vorschlagen, damit Ihr Projekt unter Windows funktioniert.

Wie ich bereits sagte, haben wir nur sehr begrenzte Erfahrung mit Windows, daher fehlen viele Funktionen. Sie haben auch Schwierigkeiten, mit den eingehenden Problemen Schritt zu halten, wie Sie bei diesem Problem deutlich erlebt haben. Das tut mir wirklich leid. Ich versuche, einen Arbeitsbereich einzurichten, um einige der Probleme auszuprobieren, die Sie gesehen haben. Ich werde mit einem sauberen Build von libtensorflow_cc beginnen und dann die Protobuf-Probleme untersuchen, die Sie gesehen haben.

Wenn Sie in der Zwischenzeit die Ausgabe des folgenden Codes teilen könnten, wäre das sehr hilfreich für mich. Wie gesagt, dies ist ein Protobuf-Symbol, und ich werde mich beim Protobuf-Team erkundigen, ob sie ein ähnliches Problem unter Windows festgestellt haben.

#include "tensorflow/core/protobuf/control_flow.pb.h"
#include "tensorflow/core/protobuf/config.pb.h"
#include <iostream>

int main() {
  tensorflow::GPUOptions gpu_options;

  std::cout << "Before: allocator_type " << gpu_options.allocator_type() << std::endl;
  gpu_options.set_visible_device_list("0");
  std::cout << "After: allocator_type " << gpu_options.allocator_type() << std::endl;

}

OK, danke, dass Sie sich Zeit genommen haben.

von main.cpp

#include "tensorflow/core/protobuf/control_flow.pb.h"
#include "tensorflow/core/protobuf/config.pb.h"
#include <iostream>

int main() {
  tensorflow::GPUOptions gpu_options;

  gpu_options.set_visible_device_list("0");

  std::cout << "allocator_type " << gpu_options.allocator_type() << std::endl; //print 0
  std::cout << "visible_device_list " << gpu_options.visible_device_list() << std::endl; //print 0
  std::cout << "address visible_device_list " << static_cast<const void*>((gpu_options.visible_device_list().c_str())) << std::endl; //Where is this damn string
  std::cout << "address allocator_type " << static_cast<const void*>((gpu_options.allocator_type().c_str())) << std::endl; //Where is this damn string

  gpu_options.set_allocator_type("7");

  std::cout << "allocator_type " << gpu_options.allocator_type() << std::endl; //print 0
  std::cout << "visible_device_list " << gpu_options.visible_device_list() << std::endl; //print 0
  std::cout << "address visible_device_list " << static_cast<const void*>((gpu_options.visible_device_list().c_str())) << std::endl; //Where is this damn string
  std::cout << "address allocator_type " << static_cast<const void*>((gpu_options.allocator_type().c_str())) << std::endl; //Where is this damn string

  gpu_options.set_visible_device_list("5");

  std::cout << "allocator_type " << gpu_options.allocator_type() << std::endl; //print 0
  std::cout << "visible_device_list " << gpu_options.visible_device_list() << std::endl; //print 0
  std::cout << "address visible_device_list " << static_cast<const void*>((gpu_options.visible_device_list().c_str())) << std::endl; //Where is this damn string
  std::cout << "address allocator_type " << static_cast<const void*>((gpu_options.allocator_type().c_str())) << std::endl; //Where is this damn string

  gpu_options.set_allocator_type("3");

  std::cout << "allocator_type " << gpu_options.allocator_type() << std::endl; //print 0
  std::cout << "visible_device_list " << gpu_options.visible_device_list() << std::endl; //print 0
  std::cout << "address visible_device_list " << static_cast<const void*>((gpu_options.visible_device_list().c_str())) << std::endl; //Where is this damn string
  std::cout << "address allocator_type " << static_cast<const void*>((gpu_options.allocator_type().c_str())) << std::endl; //Where is this damn string


}

Ich bekomme folgende Ausgabe

C:\GitLabRunner\builds\dmyz3-NF\0\sam\tf-mem-overlap>.\main.exe
allocator_type 0
visible_device_list 0
address visible_device_list 00007FFB49695C40
address allocator_type 00007FFB49695C40
allocator_type 7
visible_device_list 7
address visible_device_list 00007FFB49695C40
address allocator_type 00007FFB49695C40
allocator_type 5
visible_device_list 5
address visible_device_list 00007FFB49695C40
address allocator_type 00007FFB49695C40
allocator_type 3
visible_device_list 3
address visible_device_list 00007FFB49695C40
address allocator_type 00007FFB49695C40

Entschuldigung, dass ich mich nicht besser erklärt habe.

Hier ist die Ausgabe Ihres Codes

C:\GitLabRunner\builds\dmyz3-NF\0\sam\tf-mem-overlap>.\main.exe
Before: allocator_type
After: allocator_type 0

Ich weiß also, wie man Symbole zur Build-Zeit über eine .lds-Datei in r1.12 verfügbar macht

Wie würde ich die fehlenden Symbole für protobuf in tensorflow_cc.dll finden

Es scheint viel im Dunkeln zu stochern.

Ich wäre überglücklich, statisch auf TF zu verlinken.

Wie würde ich das anstellen?

Im Moment ist der beste Weg die Verwendung von Bazel.
Sie können einen Arbeitsbereich erstellen und TF als Arbeitsbereichsabhängigkeit hinzufügen.
Dann können Sie sich auf TF-Bibliotheken als Bazel-Abhängigkeiten verlassen.

Ich werde Ihr Beispiel auch auf meiner Maschine testen. Ich habe mich auch an das Protobuf-Team gewandt und auf ihre Antwort gewartet.

Gibt es eine Möglichkeit, Skylark zu verwenden, um einfach alle .lib-Dateien wiederzugeben, die erforderlich sind, um mit der endgültigen Binärdatei zu verknüpfen, die als Plugin verwendet werden soll?

Das Hinzufügen einer Abhängigkeit zu Bazel in der Build-Kette ist möglicherweise nicht mit dem Rest des Build-Prozesses kompatibel.

Dafür bräuchte ich Hilfe von Bazel-Experten.
@hlopko @r4nt @meteorcloudy gibt es eine Möglichkeit, lib-Dateien nach dem Erstellen einer DLL oder vielleicht einer cc_library zugänglich zu machen?

Außerdem habe ich gerade lokal erstellt und konnte mit MSVC 2019 Professional ohne cuda erstellen. Versuche es nochmal mit CUDA.

Übrigens habe ich meinen Client mit dem folgenden Commit im Master-Zweig synchronisiert: e19e2d29d562724ead9e60e1ba4c4ffd91a0eb7a

Für die beiden folgenden Befehle konnte ich TF mit MSVC 2019 Professional, der neuesten verfügbaren Version, erstellen. Die MSVC-Community sollte die gleichen Ergebnisse liefern.

bazel build --config=cuda --config=short_logs -c opt tensorflow:tensorflow_cc
bazel build --config=short_logs -c opt tensorflow:tensorflow_cc

@gunan welche CUDA und CUDNN hast du verwendet? Ich bin aus Gründen der Blackmagic Design-Kompatibilität auf CUDA 9.2.1.148 und CUDNN 7.0.5.56 festgelegt, da sich cudnn64_7.dll im Pfad befindet und ich ein Plugin für ihr System bin.

@hlopko @r4nt @meteorcloudy gibt es eine Möglichkeit, lib-Dateien nach dem Erstellen einer DLL oder vielleicht einer cc_library zugänglich zu machen?

Ja, Sie können die LIB-Datei (Importbibliothek) über --output_groups=interface_library in der Befehlszeile oder in der BUILD-Datei mithilfe einer Dateigruppenregel abrufen.
Z.B,

    filegroup(
        name = import_lib_name,
        srcs = ["my_dll_target"],
        output_group = "interface_library",
    )

Sie können diese LIB-Datei dann später in einer cc_import-Regel verwenden.
Bitte überprüfen Sie dieses Beispiel: https://github.com/bazelbuild/bazel/blob/master/examples/windows/dll/windows_dll_library.bzl

Ich werde morgen damit experimentieren.

Danke für die Erklärung, es ergibt für mich noch keinen Sinn, aber meine Star/Sky-Lerche ist begrenzt.

Aber die Absicht wäre, dies in ein Dokument zu sequestrieren, damit ich, sobald ein TF-Build vorhanden ist, das Artefakt aus bazel-genfiles aus einer ZIP-Datei abrufen und auf jede der .lib-Dateien verweisen kann, um sie statisch mit meinem TF-Plugin zu verknüpfen, das es auch ist mit einigen anderen Bibliotheken verknüpft.

Momentan gibt es keinen Umweg über CMake oder Bazel, nur ein MSVC-Projekt, das auf Header und .lib-Dateien verweist.

Obwohl Bazel wunderbar ist, kann die Implementierung in einem Nicht-Google-Projekt von Grund auf einen kleinen Spin-up-Hit bedeuten, den ich noch überwinden muss.

Übrigens habe ich meinen Client mit dem folgenden Commit im Master-Branch synchronisiert: e19e2d2

Für die beiden folgenden Befehle konnte ich TF mit MSVC 2019 Professional, der neuesten verfügbaren Version, erstellen. Die MSVC-Community sollte die gleichen Ergebnisse liefern.

bazel build --config=cuda --config=short_logs -c opt tensorflow:tensorflow_cc
bazel build --config=short_logs -c opt tensorflow:tensorflow_cc

Konnten Sie testen, was mit dem Treiber passiert ist, den Sie mir gegeben haben?

@sanjoy @gunan

Guten Morgen von einem strahlend blauen Morgen in Adelaide.

Ich habe in die folgenden Dokumente geschaut:
https://docs.bazel.build/versions/master/tutorial/cpp.html
https://docs.bazel.build/versions/master/cpp-use-cases.html
https://docs.bazel.build/versions/master/rules.html
https://docs.bazel.build/versions/master/bazel-and-cpp.html
https://docs.bazel.build/versions/master/command-line-reference.html
https://docs.bazel.build/versions/master/be/functions.html

Meine Absicht ist es also, ein tensorflow_cc_static.lib unter Windows zu erstellen, das alle meine Symbole zum statischen Verknüpfen mit der gemeinsam genutzten Bibliothek meiner Anwendung ( rotobot.ofx ) enthält, was bedeutet, dass ich nicht mehr verlinken muss tensorflow_cc.dll und auch (lib)protobuf.dll und alle 65.000 Symbollimits werden der Vergangenheit angehören.

Sehen Sie irgendwelche Hindernisse in meiner Strategie?

Mein letzter Misserfolg

Verwenden von CUDA 10.2 und CUDNN 7.6.5.32

mit

$ENV:TF_CUDA_COMPUTE_CAPABILITIES="3.5,3.7,5.0,5.2,6.0,6.1"

Ich werde es noch einmal ohne diese Anweisung versuchen und sehen, ob es kompiliert.

ERROR: C:/users/administrator/dev/tensorflow/tensorflow/core/kernels/BUILD:3767:1: C++ compilation of rule '//tensorflow/core/kernels:tridiagonal_matmul_op_gpu' failed (Exit 1)
cl : Command line warning D9002 : ignoring unknown option '--no-cuda-include-ptx=all'
cl : Command line warning D9002 : ignoring unknown option '--cuda-include-ptx=sm_35'
cl : Command line warning D9002 : ignoring unknown option '--cuda-gpu-arch=sm_35'
cl : Command line warning D9002 : ignoring unknown option '--cuda-include-ptx=sm_37'
cl : Command line warning D9002 : ignoring unknown option '--cuda-gpu-arch=sm_37'
cl : Command line warning D9002 : ignoring unknown option '--cuda-include-ptx=sm_50'
cl : Command line warning D9002 : ignoring unknown option '--cuda-gpu-arch=sm_50'
cl : Command line warning D9002 : ignoring unknown option '--cuda-include-ptx=sm_52'
cl : Command line warning D9002 : ignoring unknown option '--cuda-gpu-arch=sm_52'
cl : Command line warning D9002 : ignoring unknown option '--cuda-include-ptx=sm_60'
cl : Command line warning D9002 : ignoring unknown option '--cuda-gpu-arch=sm_60'
cl : Command line warning D9002 : ignoring unknown option '--cuda-include-ptx=sm_61'
cl : Command line warning D9002 : ignoring unknown option '--cuda-gpu-arch=sm_61'
.\tensorflow/core/kernels/cuda_sparse.h(39): error: identifier "cusparseDnMatDescr_t" is undefined

.\tensorflow/core/kernels/cuda_sparse.h(40): error: identifier "cusparseSpMatDescr_t" is undefined

.\tensorflow/core/kernels/cuda_sparse.h(41): error: identifier "cusparseSpMMAlg_t" is undefined

3 errors detected in the compilation of "C:/Users/ADMINI~1/AppData/Local/Temp/2/nvcc_inter_files_tmp_dir/tmpqtv9c4nq/tridiagonal_matmul_op_gpu.cu.compute_61.cpp1.ii".
Target //tensorflow:tensorflow_cc.dll failed to build
INFO: Elapsed time: 972.399s, Critical Path: 212.46s
INFO: 3220 processes: 3220 local.
FAILED: Build did NOT complete successfully

Bearbeiten: Dieses Verhalten wird mit CUDA Toolkit 10.2 erwartet, 10.2 ist ein Update auf 9.2, da CUDA Toolkit 9.2.1.148 nvcc für MSVC 2019 nicht unterstützt. MSVC 2017 unterstützt möglicherweise C++14, das für TF 2.0 erforderlich ist.

Sehen:
https://docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html#deprecated -features

CUDA COMPUTE 3.5 und 3.7 sind veraltet, daher müssen Sie das Rendern abbrechen und für die T4-basierte Turing-Karte auf 7.0 sperren, aber dies ist für eine Vielzahl von Endbenutzern ohne Turing-basierte Karten nicht geeignet.

Jetzt ist es auf CUDA compute 3.5,7.0 eingestellt, nur ich werde sehen, ob dies kompiliert wird.

MSVC 15 (2017) und CUDA Toolkit 9.2.1.148 bieten Ihnen Rechenleistung bis 7.0 und bis 3.5, während die Sprache C++ unterstützt wird.

7a7207f3b6 gibt mir

cl : Command line warning D9002 : ignoring unknown option '--cuda-gpu-arch=sm_70'
C:\users\administrator\_bazel_administrator\ybx4nglg\execroot\org_tensorflow\external\eigen_archive\Eigen\src/Core/DiagonalMatrix.h(99): error C2993: 'Derived': is not a valid type for non-type template parameter '__formal'
C:\users\administrator\_bazel_administrator\ybx4nglg\execroot\org_tensorflow\external\eigen_archive\Eigen\src/Core/DiagonalMatrix.h(110): note: see reference to class template instantiation 'Eigen::DiagonalBase<T>' being compiled
C:\users\administrator\_bazel_administrator\ybx4nglg\execroot\org_tensorflow\external\eigen_archive\Eigen\src/Core/DiagonalMatrix.h(99): error C2065: 'T1': undeclared identifier
C:\users\administrator\_bazel_administrator\ybx4nglg\execroot\org_tensorflow\external\eigen_archive\Eigen\src/Core/DiagonalMatrix.h(99): error C2993: 'Derived': is not a valid type for non-type template parameter '__formal'
C:\users\administrator\_bazel_administrator\ybx4nglg\execroot\org_tensorflow\external\eigen_archive\Eigen\src/Core/DiagonalMatrix.h(99): error C2923: 'std::_Select<__formal>::_Apply': 'T1' is not a valid template type argument for parameter '<unnamed-symbol>'
C:\users\administrator\_bazel_administrator\ybx4nglg\execroot\org_tensorflow\external\eigen_archive\Eigen\src/Core/DiagonalMatrix.h(99): error C2062: type 'unknown-type' unexpected
C:\users\administrator\_bazel_administrator\ybx4nglg\execroot\org_tensorflow\external\eigen_archive\Eigen\src/Core/DiagonalMatrix.h(99): error C2993: 'Derived': is not a valid type for non-type template parameter '__formal'
C:\users\administrator\_bazel_administrator\ybx4nglg\execroot\org_tensorflow\external\eigen_archive\Eigen\src/Core/DiagonalMatrix.h(99): error C2065: 'T1': undeclared identifier
C:\users\administrator\_bazel_administrator\ybx4nglg\execroot\org_tensorflow\external\eigen_archive\Eigen\src/Core/DiagonalMatrix.h(99): error C2993: 'Derived': is not a valid type for non-type template parameter '__formal'
C:\users\administrator\_bazel_administrator\ybx4nglg\execroot\org_tensorflow\external\eigen_archive\Eigen\src/Core/DiagonalMatrix.h(99): error C2923: 'std::_Select<__formal>::_Apply': 'T1' is not a valid template type argument for parameter '<unnamed-symbol>'
C:\users\administrator\_bazel_administrator\ybx4nglg\execroot\org_tensorflow\external\eigen_archive\Eigen\src/Core/DiagonalMatrix.h(99): error C4430: missing type specifier - int assumed. Note: C++ does not support default-int
C:\users\administrator\_bazel_administrator\ybx4nglg\execroot\org_tensorflow\external\eigen_archive\Eigen\src/Core/DiagonalMatrix.h(99): error C2062: type 'unknown-type' unexpected
C:\users\administrator\_bazel_administrator\ybx4nglg\execroot\org_tensorflow\external\eigen_archive\Eigen\src/Core/DiagonalMatrix.h(106): error C2062: type 'unknown-type' unexpected
C:\users\administrator\_bazel_administrator\ybx4nglg\execroot\org_tensorflow\external\eigen_archive\Eigen\src/Core/DiagonalMatrix.h(107): error C2334: unexpected token(s) preceding '{'; skipping apparent function body
Target //tensorflow:tensorflow_cc.dll failed to build
INFO: Elapsed time: 830.823s, Critical Path: 122.06s
INFO: 2477 processes: 2477 local.
FAILED: Build did NOT complete successfully

Von

1. git clone tensorflow URL
2. cd tensorflow
3. cp ..\*.ps1
4. . .\buildenv.ps1
5. . .\build-tf.ps1

Wo ich auf einem 2019 t4 Server mit 48 Kernen bin

Mit Anaconda Python, MSYS2 für Patch und Perl und Bash, CUDA 10.2 CUDNN 7.6.5.32

buildenv.ps1 ist

pushd 'C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Auxiliary\Build\'    
cmd /c "vcvarsall.bat x64 & set" |
foreach {
  if ($_ -match "=") {
    $v = $_.split("="); set-item -force -path "ENV:\$($v[0])"  -value "$($v[1])"
  }
}
popd
write-host "`nVisual Studio 2019 Command Prompt variables set." -ForegroundColor Yellow

build-tf.ps1 ist

$ENV:USE_BAZEL_VERSION="2.0.0"
$ENV:PYTHON_BIN_PATH="C:/ProgramData/Anaconda3/python.exe"
$ENV:PYTHON_LIB_PATH="C:/ProgramData/Anaconda3/"
$ENV:Path += ";C:/msys64/usr/bin"
$ENV:Path += ";C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.2/bin"
$ENV:Path += ";C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.2/extras/CUPTI/libx64"
$ENV:Path += ";C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/cudnn-10.2-windows10-x64-v7.6.5.32/cuda/bin"
$ENV:BAZEL_SH = "C:/msys64/usr/bin/bash.exe"
$ENV:CUDA_TOOLKIT_PATH="C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.2/"
$ENV:TF_CUDA_VERSION="10.2"
$ENV:CUDNN_INSTALL_PATH="C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/cudnn-10.2-windows10-x64-v7.6.5.32/cuda"
$ENV:TF_CUDA_COMPUTE_CAPABILITIES="7.0"
$ENV:TF_CUDNN_VERSION="7"
$ENV:TF_NCCL_VERSION="1"
$ENV:TF_CUDA_CLANG="0"
$ENV:TF_NEED_CUDA="1"
$ENV:TF_NEED_ROCM="0"
$ENV:TF_NEED_OPENCL_SYCL="0"


$params = "configure.py",""
cmd /c "ECHO Y" | & python.exe <strong i="25">@params</strong> 
bazel.exe clean --expunge
bazel.exe build --copt=-nvcc_options=disable-warnings --test_tag_filters=-no_oss,-gpu,-benchmark-test,-nomac,-no_mac --announce_rc --test_timeout 300,450,1200,3600 --test_size_filters=small,medium --jobs=48 //tensorflow:tensorflow_cc.dll  

Ist das erwartetes Verhalten?

Ich werde mit r2.2 wiederholen.

2b96f3662b abgeschlossen.

Angehängt ist die Datei tensorflow\BUILD von r2.2

BUILD.zip

Welches wird als gebaut

1. . .\buildenv.ps1
2. . .\build-tfstatic.ps1

buildenv.ps1

pushd 'C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Auxiliary\Build\'    
cmd /c "vcvarsall.bat x64 & set" |
foreach {
  if ($_ -match "=") {
    $v = $_.split("="); set-item -force -path "ENV:\$($v[0])"  -value "$($v[1])"
  }
}
popd
write-host "`nVisual Studio 2019 Command Prompt variables set." -ForegroundColor Yellow

build-tf-static.ps1

$ENV:USE_BAZEL_VERSION="2.0.0"
$ENV:PYTHON_BIN_PATH="C:/ProgramData/Anaconda3/python.exe"
$ENV:PYTHON_LIB_PATH="C:/ProgramData/Anaconda3/"
$ENV:Path += ";C:/msys64/usr/bin"
$ENV:Path += ";C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.2/bin"
$ENV:Path += ";C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.2/extras/CUPTI/libx64"
$ENV:Path += ";C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/cudnn-10.2-windows10-x64-v7.6.5.32/cuda/bin"
$ENV:BAZEL_SH = "C:/msys64/usr/bin/bash.exe"
$ENV:CUDA_TOOLKIT_PATH="C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.2/"
$ENV:TF_CUDA_VERSION="10.2"
$ENV:CUDNN_INSTALL_PATH="C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/cudnn-10.2-windows10-x64-v7.6.5.32/cuda"
$ENV:TF_CUDA_COMPUTE_CAPABILITIES="7.0"
$ENV:TF_CUDNN_VERSION="7"
$ENV:TF_NCCL_VERSION="1"
$ENV:TF_CUDA_CLANG="0"
$ENV:TF_NEED_CUDA="1"
$ENV:TF_NEED_ROCM="0"
$ENV:TF_NEED_OPENCL_SYCL="0"


$params = "configure.py",""
cmd /c "ECHO Y" | & python.exe <strong i="21">@params</strong> 
bazel.exe clean --expunge
bazel.exe build --copt=-nvcc_options=disable-warnings --test_tag_filters=-no_oss,-gpu,-benchmark-test,-nomac,-no_mac --announce_rc --test_timeout 300,450,1200,3600 --test_size_filters=small,medium --jobs=48 //tensorflow:tensorflow_cc_static.lib  

die Bearbeitung von tensorflow\BUILD ist

Hinzufügen von fünf Zeilen

filegroup(
        name = "tensorflow_cc_static.lib",
        srcs = ["tensorflow_cc.dll"],
        output_group = "interface_library",
)

```

Ich hatte cuda 10.1 auf meinem Rechner, also habe ich es damit versucht. Es kann also durch den Unterschied in den cuda-Versionen verursacht werden.
Ich sehe, dass einige Ihrer Kommentare cuda 9.2 und einige 10.2 erwähnen.
Ich vermute, der Build mit 10.2 war erfolgreich?

@hlopko @r4nt @meteorcloudy gibt es eine Möglichkeit, lib-Dateien nach dem Erstellen einer DLL oder vielleicht einer cc_library zugänglich zu machen?

Ja, Sie können die LIB-Datei (Importbibliothek) über --output_groups=interface_library in der Befehlszeile oder in der BUILD-Datei mithilfe einer Dateigruppenregel abrufen.
Z.B,

    filegroup(
        name = import_lib_name,
        srcs = ["my_dll_target"],
        output_group = "interface_library",
    )

Sie können diese LIB-Datei dann später in einer cc_import-Regel verwenden.
Bitte überprüfen Sie dieses Beispiel: https://github.com/bazelbuild/bazel/blob/master/examples/windows/dll/windows_dll_library.bzl

Ja, das macht nur eine Datei, die schon da war

PS C:\Users\Administrator\dev\tensorflow> ls .\bazel-bin\tensorflow\libtensorflow_cc.dll.ifso


    Directory: C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow


Mode                LastWriteTime         Length Name
----                -------------         ------ ----
-ar---         6/5/2020  12:02 PM       39971810 libtensorflow_cc.dll.ifso

Es ist nur 39 MB groß, während die tensorflow_cc.dll -Datei 320 MB groß ist

Was benötigt wird, ist eine statische Version von tensorflow_cc.lib, in der alle Symbole für Inferenz oder Training oder was auch immer tensorflow_cc.dll zu bieten hat, vorhanden sind

Ich denke, es gab einen Fehler in der Kommunikation, da die Symbole für protobuf nicht offengelegt werden, muss ich in der Lage sein, statisch auf ein statisches Archiv .lib aller Symbole zu verlinken, die sich in der Entität von tensorflow_cc.dll befinden -L tensorflow_cc_static.lib liefert dies alle Symbole.

Ich hatte cuda 10.1 auf meinem Rechner, also habe ich es damit versucht. Es kann also durch den Unterschied in den cuda-Versionen verursacht werden.
Ich sehe, dass einige Ihrer Kommentare cuda 9.2 und einige 10.2 erwähnen.
Ich vermute, der Build mit 10.2 war erfolgreich?

Ja es ist gelungen.

Versuche es nochmal mit

filegroup(
        name = "tensorflow_cc_static.lib",
        srcs = ["tensorflow_cc.dll"],
        output_group = "static",
)

Und hier drehen wir uns im Kreis: @meteorcloudy

https://github.com/bazelbuild/bazel/issues/1920

Hier sind die Ergebnisse des Baus von //tensorflow:tensorflow_cc_static.lib

filegroup(
        name = "tensorflow_cc_static.lib",
        srcs = ["tensorflow_cc.dll"],
        output_group = "static",
)

PS C:\Users\Administrator\dev\tensorflow> ls .\bazel-bin\tensorflow\


    Directory: C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow


Mode                LastWriteTime         Length Name
----                -------------         ------ ----
d-----         6/5/2020  12:48 PM                c
d-----         6/5/2020  12:48 PM                cc
d-----         6/5/2020  12:34 PM                compiler
d-----         6/5/2020  12:47 PM                core
d-----         6/5/2020  12:34 PM                stream_executor
d-----         6/5/2020  12:32 PM                tools
-a----         6/5/2020  12:51 PM       23947197 libtensorflow_cc.dll.exp
-ar---         6/5/2020  12:51 PM       39971810 libtensorflow_cc.dll.ifso
-ar---         6/5/2020  12:51 PM      328316928 tensorflow_cc.dll
-ar---         6/5/2020  12:32 PM         142258 tensorflow_cc.dll-2.params
-a----         6/5/2020  12:51 PM      190246912 tensorflow_cc.pdb
-ar---         6/5/2020  12:47 PM        7107050 tensorflow_filtered_def_file.def
-ar---         6/5/2020  12:47 PM       16876935 tf_custom_op_library_additional_deps.dll.gen.def
-a----         6/5/2020  12:47 PM          50581 tf_custom_op_library_additional_deps.dll.gen.def-0.params

Wie erhalten wir die Eingaben in tensorflow_cc.dll , wie sie von der obigen Dateigruppe erfasst wurden, um sie in ein Archiv zu legen?

Ich schleiche mich hiermit an

filegroup(
        name = "tensorflow_cc_static_dep",
        srcs = ["tensorflow_cc.dll"],
        output_group = "static",
)



cc_library(
    name = "tensorflow_cc_static",
    deps=["tensorflow_cc_static_dep"],
    alwayslink=True,
    linkstatic=True
)

Ich glaube, ich könnte auf das Problem der transitiven Verknüpfung stoßen.

Das oben genannte ist ein No-Go

Versuch mit

cc_library(
    name = "tensorflow_cc_static",
    linkopts = select({
        "//tensorflow:macos": [
            "-Wl,-exported_symbols_list,$(location //tensorflow:tf_exported_symbols.lds)",
        ],
        "//tensorflow:windows": [],
        "//conditions:default": [
            "-z defs",
            "-Wl,--version-script,$(location //tensorflow:tf_version_script.lds)",
        ],
    }),
    linkstatic=1,
    alwayslink=1,
    deps = [
        "//tensorflow:tf_exported_symbols.lds",
        "//tensorflow:tf_version_script.lds",
        "//tensorflow/c:c_api",
        "//tensorflow/c/eager:c_api",
        "//tensorflow/cc:cc_ops",
        "//tensorflow/cc:client_session",
        "//tensorflow/cc:scope",
        "//tensorflow/cc/profiler",
        "//tensorflow/core:tensorflow",
    ] + if_ngraph(["@ngraph_tf//:ngraph_tf"]),
)

Ich denke, ich muss auch tensorflow_framework einbinden, damit das oben Gesagte funktioniert, aber ich werde es durchblasen lassen und sehen, was passiert.

Ich habe gerade auch bemerkt, dass es eine Regel für tensorflow_cc.lib gibt, wenn ich dynamisch verlinken möchte, was @gunan vorschlägt, ist nicht die Lösung für dieses Problem, sondern stattdessen eine statische Version von tensorflow_cc.dll zu erhalten von bazel, aber ich denke, es wird nicht funktionieren, ich werde es noch eine stunde lang versuchen.

OK, jetzt habe ich ein paar .a-Dateien

PS C:\Users\Administrator\dev\tensorflow\bazel-bin> ls -r -inc *.a > ../archives.txt
PS C:\Users\Administrator\dev\tensorflow\bazel-bin> cd ..
PS C:\Users\Administrator\dev\tensorflow> more .\archives.txt


    Directory: C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\src\compiler


Mode                LastWriteTime         Length Name
----                -------------         ------ ----
-ar---         6/5/2020   3:51 PM        5415506 libgrpc_plugin_support.a


    Directory: C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_googlesource_code_re2


Mode                LastWriteTime         Length Name
----                -------------         ------ ----
-ar---         6/5/2020   3:52 PM        6327588 libre2.a


    Directory: C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\base


Mode                LastWriteTime         Length Name
----                -------------         ------ ----
-ar---         6/5/2020   3:51 PM          99158 libbase.a
-ar---         6/5/2020   3:51 PM           6938 libdynamic_annotations.a
-ar---         6/5/2020   3:52 PM          57538 libmalloc_internal.a
-ar---         6/5/2020   3:51 PM           9996 libspinlock_wait.a
-ar---         6/5/2020   3:51 PM         112758 libthrow_delegate.a


    Directory: C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\container


Mode                LastWriteTime         Length Name
----                -------------         ------ ----
-ar---         6/5/2020   3:52 PM          65270 libhashtablez_sampler.a
-ar---         6/5/2020   3:52 PM           3732 libraw_hash_set.a


    Directory: C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\debugging


Mode                LastWriteTime         Length Name
----                -------------         ------ ----
-ar---         6/5/2020   3:52 PM           3208 libdebugging_internal.a
-ar---         6/5/2020   3:52 PM         123878 libdemangle_internal.a
-ar---         6/5/2020   3:52 PM          13024 libstacktrace.a
-ar---         6/5/2020   3:51 PM           3542 libsymbolize.a


    Directory: C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\hash


Mode                LastWriteTime         Length Name
----                -------------         ------ ----
-ar---         6/5/2020   3:51 PM          18242 libcity.a
-ar---         6/5/2020   3:51 PM           2924 libhash.a


    Directory: C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\numeric


Mode                LastWriteTime         Length Name
----                -------------         ------ ----
-ar---         6/5/2020   3:51 PM         156246 libint128.a


    Directory: C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\strings


Mode                LastWriteTime         Length Name
----                -------------         ------ ----
-ar---         6/5/2020   3:51 PM          44716 libinternal.a
-ar---         6/5/2020   3:51 PM         785112 libstrings.a
-ar---         6/5/2020   3:52 PM         852020 libstr_format_internal.a


    Directory: C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\synchronization


Mode                LastWriteTime         Length Name
----                -------------         ------ ----
-ar---         6/5/2020   3:52 PM         119540 libgraphcycles_internal.a
-ar---         6/5/2020   3:52 PM         247726 libsynchronization.a


    Directory: C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\time\internal\cctz


Mode                LastWriteTime         Length Name
----                -------------         ------ ----
-ar---         6/5/2020   3:52 PM         171266 libcivil_time.a
-ar---         6/5/2020   3:52 PM        1477052 libtime_zone.a


    Directory: C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\time


Mode                LastWriteTime         Length Name
----                -------------         ------ ----
-ar---         6/5/2020   3:52 PM         504326 libtime.a


    Directory: C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\types


Mode                LastWriteTime         Length Name
----                -------------         ------ ----
-ar---         6/5/2020   3:51 PM          11746 libbad_optional_access.a
-ar---         6/5/2020   3:51 PM          12302 libbad_variant_access.a


    Directory: C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_protobuf


Mode                LastWriteTime         Length Name
----                -------------         ------ ----
-ar---         6/5/2020   3:52 PM        4894350 libprotobuf_lite.a
-ar---         6/5/2020   3:51 PM       37512202 libprotoc_lib.a


    Directory: C:\Users\Administrator\dev\tensorflow\bazel-bin\external\double_conversion


Mode                LastWriteTime         Length Name
----                -------------         ------ ----
-ar---         6/5/2020   3:52 PM         243164 libdouble-conversion.a


    Directory: C:\Users\Administrator\dev\tensorflow\bazel-bin\external\farmhash_archive


Mode                LastWriteTime         Length Name
----                -------------         ------ ----
-ar---         6/5/2020   3:51 PM          46846 libfarmhash.a


    Directory: C:\Users\Administrator\dev\tensorflow\bazel-bin\external\fft2d


Mode                LastWriteTime         Length Name
----                -------------         ------ ----
-ar---         6/5/2020   3:52 PM          86854 libfft2d.a


    Directory: C:\Users\Administrator\dev\tensorflow\bazel-bin\external\gif


Mode                LastWriteTime         Length Name
----                -------------         ------ ----
-ar---         6/5/2020   3:52 PM          98198 libgif.a


    Directory: C:\Users\Administrator\dev\tensorflow\bazel-bin\external\highwayhash


Mode                LastWriteTime         Length Name
----                -------------         ------ ----
-ar---         6/5/2020   3:51 PM          69762 libarch_specific.a
-ar---         6/5/2020   3:52 PM          17936 libsip_hash.a


    Directory: C:\Users\Administrator\dev\tensorflow\bazel-bin\external\libjpeg_turbo


Mode                LastWriteTime         Length Name
----                -------------         ------ ----
-ar---         6/5/2020   3:52 PM         884154 libjpeg.a
-ar---         6/5/2020   3:52 PM         269920 libsimd_win_x86_64.a


    Directory: C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm


Mode                LastWriteTime         Length Name
----                -------------         ------ ----
-ar---         6/5/2020   3:52 PM         878114 libbinary_format.a
-ar---         6/5/2020   3:52 PM        5387046 libdebug_info_code_view.a
-ar---         6/5/2020   3:52 PM         654474 libdebug_info_msf.a
-ar---         6/5/2020   3:52 PM         958868 libdemangle.a
-ar---         6/5/2020   3:52 PM        4870334 libmc.a
-ar---         6/5/2020   3:52 PM       12294524 libsupport.a
-ar---         6/5/2020   3:51 PM        2749038 libtablegen.a
-ar---         6/5/2020   3:51 PM        2956266 libutils_tablegen.a


    Directory: C:\Users\Administrator\dev\tensorflow\bazel-bin\external\nsync


Mode                LastWriteTime         Length Name
----                -------------         ------ ----
-ar---         6/5/2020   3:52 PM         385518 libnsync_cpp.a


    Directory: C:\Users\Administrator\dev\tensorflow\bazel-bin\external\snappy


Mode                LastWriteTime         Length Name
----                -------------         ------ ----
-ar---         6/5/2020   3:52 PM         266036 libsnappy.a


    Directory: C:\Users\Administrator\dev\tensorflow\bazel-bin\external\zlib


Mode                LastWriteTime         Length Name
----                -------------         ------ ----
-ar---         6/5/2020   3:52 PM         188924 libzlib.a


    Directory: C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\c


Mode                LastWriteTime         Length Name
----                -------------         ------ ----
-ar---         6/5/2020   3:53 PM          87842 libtf_status.a
-ar---         6/5/2020   3:53 PM          70022 libtf_status_helper.a
-ar---         6/5/2020   4:00 PM         401738 libtf_tensor.a


    Directory: C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc


Mode                LastWriteTime         Length Name
----                -------------         ------ ----
-ar---         6/5/2020   4:04 PM        1876774 libcc_op_gen_main.a


    Directory: C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit


Mode                LastWriteTime         Length Name
----                -------------         ------ ----
-ar---         6/5/2020   3:51 PM           2620 libcommon.a


    Directory: C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework


Mode                LastWriteTime         Length Name
----                -------------         ------ ----
-ar---         6/5/2020   3:53 PM        1185340 libattr_value_util.a
-ar---         6/5/2020   3:53 PM        1632374 libcommon_shape_fns.a
-ar---         6/5/2020   3:53 PM        2404568 libnode_def_util.a
-ar---         6/5/2020   3:53 PM         134086 libnode_properties.a
-ar---         6/5/2020   3:53 PM        1141572 libop.a
-ar---         6/5/2020   3:53 PM         742750 libop_def_builder.a
-ar---         6/5/2020   3:53 PM        1457520 libop_def_util.a
-ar---         6/5/2020   4:04 PM         921396 libop_gen_lib.a
-ar---         6/5/2020   3:53 PM        1526796 libshape_inference.a


    Directory: C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\lib\bfloat16


Mode                LastWriteTime         Length Name
----                -------------         ------ ----
-ar---         6/5/2020   3:52 PM           8946 libbfloat16.a


    Directory: C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\lib\core


Mode                LastWriteTime         Length Name
----                -------------         ------ ----
-ar---         6/5/2020   3:52 PM         146566 libarena.a


    Directory: C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\lib\hash


Mode                LastWriteTime         Length Name
----                -------------         ------ ----
-ar---         6/5/2020   3:51 PM          28680 libcrc32c.a


    Directory: C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\lib\io


Mode                LastWriteTime         Length Name
----                -------------         ------ ----
-ar---         6/5/2020   3:52 PM          68668 libcache.a


    Directory: C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\lib\monitoring


Mode                LastWriteTime         Length Name
----                -------------         ------ ----
-ar---         6/5/2020   3:53 PM         846628 libcollection_registry.a
-ar---         6/5/2020   3:53 PM         214282 libpercentile_sampler.a
-ar---         6/5/2020   3:53 PM         154376 libsampler.a


    Directory: C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\lib\strings


Mode                LastWriteTime         Length Name
----                -------------         ------ ----
-ar---         6/5/2020   3:52 PM          89490 libordered_code.a
-ar---         6/5/2020   3:51 PM          93102 libproto_serialization.a
-ar---         6/5/2020   3:52 PM          35316 libproto_text_util.a


    Directory: C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\platform\default


Mode                LastWriteTime         Length Name
----                -------------         ------ ----
-ar---         6/5/2020   3:52 PM         355256 liblogging.a
-ar---         6/5/2020   3:52 PM          30584 libmutex.a
-ar---         6/5/2020   3:52 PM           5272 libresource.a
-ar---         6/5/2020   3:53 PM         227774 libunbounded_work_queue.a


    Directory: C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\platform\windows


Mode                LastWriteTime         Length Name
----                -------------         ------ ----
-ar---         6/5/2020   3:53 PM        3564222 libenv.a
-ar---         6/5/2020   3:51 PM          26880 libenv_time.a
-ar---         6/5/2020   3:52 PM          55006 liberror_windows.a
-ar---         6/5/2020   3:53 PM         117692 libload_library.a
-ar---         6/5/2020   3:53 PM         244036 libnet.a
-ar---         6/5/2020   3:52 PM         183340 libplatform_port.a
-ar---         6/5/2020   3:51 PM          75362 libstacktrace.a
-ar---         6/5/2020   3:51 PM          58550 libstacktrace_handler.a
-ar---         6/5/2020   3:52 PM         159382 libsubprocess.a
-ar---         6/5/2020   3:52 PM          85858 libwide_char.a


    Directory: C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\platform


Mode                LastWriteTime         Length Name
----                -------------         ------ ----
-ar---         6/5/2020   3:52 PM          68210 libabi.a
-ar---         6/5/2020   3:53 PM         109694 libbase64.a
-ar---         6/5/2020   3:52 PM          70702 libcoding.a
-ar---         6/5/2020   3:52 PM         119888 libcpu_feature_guard.a
-ar---         6/5/2020   3:51 PM          29746 libdenormal.a
-ar---         6/5/2020   3:53 PM          39056 liberror.a
-ar---         6/5/2020   3:51 PM          21324 libhash.a
-ar---         6/5/2020   3:51 PM         569722 libnumbers.a
-ar---         6/5/2020   3:52 PM         104476 libplatform_strings.a
-ar---         6/5/2020   3:52 PM          51036 libprotobuf.a
-ar---         6/5/2020   3:52 PM          85010 librandom.a
-ar---         6/5/2020   3:52 PM          22310 libscanner.a
-ar---         6/5/2020   3:51 PM          20642 libsetround.a
-ar---         6/5/2020   3:53 PM         512580 libstatus.a
-ar---         6/5/2020   3:52 PM         121258 libstrcat.a
-ar---         6/5/2020   3:52 PM          70676 libstringprintf.a
-ar---         6/5/2020   3:52 PM         176672 libstr_util.a
-ar---         6/5/2020   3:52 PM         145612 libtensor_coding.a


    Directory: C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\util\proto


Mode                LastWriteTime         Length Name
----                -------------         ------ ----
-ar---         6/5/2020   4:00 PM         123856 libproto_utils.a


    Directory: C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\util


Mode                LastWriteTime         Length Name
----                -------------         ------ ----
-ar---         6/5/2020   3:53 PM         305966 libeinsum_op_util.a
-ar---         6/5/2020   3:53 PM         111176 libenv_var.a
-ar---         6/5/2020   3:53 PM         124030 libpadding.a
-ar---         6/5/2020   3:53 PM         837838 libreporter.a
-ar---         6/5/2020   3:52 PM         871012 libstats_calculator_portable.a
-ar---         6/5/2020   3:53 PM         105664 libtensor_format.a


    Directory: C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\cuda


Mode                LastWriteTime         Length Name
----                -------------         ------ ----
-ar---         6/5/2020   3:53 PM         740844 libcudart_stub.a
-ar---         6/5/2020   3:53 PM         899918 libcuda_stub.a


    Directory: C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\lib


Mode                LastWriteTime         Length Name
----                -------------         ------ ----
-ar---         6/5/2020   3:53 PM         278690 liblib.a


    Directory: C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\platform\default


Mode                LastWriteTime         Length Name
----                -------------         ------ ----
-ar---         6/5/2020   3:53 PM         314672 libdso_loader.a


    Directory: C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor


Mode                LastWriteTime         Length Name
----                -------------         ------ ----
-ar---         6/5/2020   3:53 PM          57612 liballocator_stats.a
-ar---         6/5/2020   3:53 PM         320204 libplatform.a
-ar---         6/5/2020   3:52 PM           3168 libplugin.a


    Directory: C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\tools\proto_text


Mode                LastWriteTime         Length Name
----                -------------         ------ ----
-ar---         6/5/2020   3:53 PM        1407960 libgen_proto_text_functions_lib.a

Ich nehme an, ich kann diese in wie .a Dateien unter Linux verknüpfen und meine Symbole werden einfach "da sein".

Ich hatte auf einen großen gehofft, ich werde es weiter versuchen.

vielleicht bin ich weniger dumm als ich denke
@hlopko @meteorcloudy

https://github.com/bazelbuild/bazel/issues/7538

Wenn es sowieso einen Platzhalter für die .a -Dateien geben sollte, die in einem filegroup nach bazel-bin kopiert wurden

Ich möchte das am Ende von tensorflow/BUILD hinzufügen

cc_library(
    name = "tensorflow_cc_static",
    linkopts = select({
        "//tensorflow:macos": [
            "-Wl,-exported_symbols_list,$(location //tensorflow:tf_exported_symbols.lds)",
        ],
        "//tensorflow:windows": [],
        "//conditions:default": [
            "-z defs",
            "-Wl,--version-script,$(location //tensorflow:tf_version_script.lds)",
        ],
    }),
    srcs = [":tensorflow_cc_static_input"],
    linkstatic=1,
    alwayslink=1,
    deps = [
        "//tensorflow:tf_exported_symbols.lds",
        "//tensorflow:tf_version_script.lds",
        "//tensorflow/c:c_api",
        "//tensorflow/c/eager:c_api",
        "//tensorflow/cc:cc_ops",
        "//tensorflow/cc:client_session",
        "//tensorflow/cc:scope",
        "//tensorflow/cc/profiler",
        "//tensorflow/core:tensorflow",
    ] + if_ngraph(["@ngraph_tf//:ngraph_tf"]),
)


filegroup(
    name = "tensorflow_cc_static_input",
    srcs = ["//tensorflow:tensorflow_cc.dll"],
    output_group = "cc_library",
    visibility = ["//visibility:public"],
)

und das Bauen //tensorflow:tensorflow_cc_static sollte funktionieren

Wenn es trotzdem einen Platzhalter für die .a-Dateien gibt, die in einer Dateigruppe nach bazel-bin kopiert wurden

@oquenchil ist unser C++ Experte! Wie werden alle transitiven Objektdateien oder .a-Dateien in Starlark gesammelt?

Ich denke, mit unserer C++ Starlark-API können wir alle transitiven lib-Dateien sammeln.
https://docs.bazel.build/versions/master/skylark/lib/CcInfo.html
Verwandtes Problem: https://github.com/bazelbuild/bazel/issues/1920

Ich versuche nicht, Schatten auf Bazel zu werfen, es macht wirklich einen ziemlich guten Job in den meisten Dingen. Aber in vielen CMake-Projekten, die ich verwendet habe, fügen Sie einfach -DBUILD_SHARED_LIBS=0 hinzu und es erscheint ein statisches Archiv. Angesichts dieser Funktion wurde im Jahr 2016 angefordert. Ich denke, ich könnte einfach Python Glob verwenden und es durchmaischen und sehen, ob die statische Verknüpfung dieses Problem beheben wird.

Mit Python konnte ich die betreffenden .a -Dateien zusammenstellen

Die Python war ziemlich einfach

doit.py

import os, glob

ROOT="C:\\Users\\Administrator\\dev\\tensorflow"

SUBS=["bazel-bin\\tensorflow\\*\\*.a",
"bazel-bin\\tensorflow\\*\\*\\*.a",
"bazel-bin\\tensorflow\\*\\*\\*\\*.a",
"bazel-bin\\external\\*\\*.a",
"bazel-bin\\external\\*\\*\\*.a",
"bazel-bin\\external\\*\\*\\*\\*.a"]

FILES = []

for sub in SUBS:
    globstring = os.path.sep.join([ROOT,sub])
    for curmatch in glob.glob(globstring):
        FILES.append(curmatch)

print("\n".join(FILES))

Das Ergebnis ist eine epische Liste von Dateien

C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\c\libcheckpoint_reader.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\c\libkernels.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\c\libtf_status.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\c\libtf_status_helper.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\c\libtf_tensor.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\libcc_op_gen_main.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\libclient_session.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\libconst_op.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\libgradients.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\libgrad_op_registry.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\libops.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\libscope.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\libwhile_loop.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\libbfc_allocator.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\libcore_cpu_base_no_ops.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\libgif_internal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\libgpu_bfc_allocator.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\libgpu_id_impl.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\libgpu_lib.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\libgraph.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\libjpeg_internal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\libragged_to_dense_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\liballocator_stats.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libblas.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libdevice_description.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libdnn.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libevent.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libexecutor_cache.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libkernel.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libkernel_spec.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libmulti_platform_manager.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libplatform.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libplugin.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libplugin_registry.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\librng.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libscratch_allocator.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libstream_executor_internal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libstream_executor_pimpl.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libtemporary_device_memory.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libtemporary_memory_manager.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libtf_allocator_adapter.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libtimer.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\profiler\libprofiler.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\saved_model\libreader.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libcommon.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libcompilability_check_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libcompilation_passes.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libdevice_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libencapsulate_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libflags.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libresource_operation_safety_analysis.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libshape_inference.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libshape_inference_helpers.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libxla_activity_listener.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libxla_cluster_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libxla_compilation_cache.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libxla_device_no_jit_rewrite_registration.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libxla_launch_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libxla_tensor.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libcommon.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libfrontend_attributes_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libfunctionalize_cond.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libfunctionalize_control_flow.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libfunctionalize_control_flow_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libfunctionalize_while.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\librearrange_function_argument.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libresource_operation_table.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libsharding_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libside_effect_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libtf2xla_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libarray.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libcomparison_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libcpu_function_runtime.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libdebug_options_flags.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libexecutable_run_options.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libexecution_options_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libliteral.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libliteral_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libmetric_table_report.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libparse_flags_from_env.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libprotobuf_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libshape_layout.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libshape_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libstatus_macros.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libutil.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libwindow_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\debug\libdebug_callback_registry.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\debug\libdebug_node_key.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\libbase_rendezvous_mgr.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\libcall_options.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\libcollective_param_resolver_distributed.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\libcollective_rma_distributed.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\libdevice_resolver_distributed.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\libgraph_mgr.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\liblocal_master.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\libmaster.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\libmaster_session.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\libmessage_wrappers.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\libpartial_run_mgr.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\librecent_request_ids.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\libremote_device.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\librequest_id.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\librpc_collective_executor_mgr.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\libscheduler.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\libserver_lib.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\libsession_mgr.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\libtensor_coding.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\libworker.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\libworker_cache_logger.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\libworker_cache_partial.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\libworker_session.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\libattr_value_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\libcommon_shape_fns.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\libnode_def_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\libnode_properties.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\libop.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\libop_def_builder.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\libop_def_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\libop_gen_lib.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\libreader_base.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\libshape_inference.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\grappler\libdevices.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\grappler\libgraph_topology_view.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\grappler\libgraph_view.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\grappler\libgrappler_item.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\grappler\libgrappler_item_builder.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\grappler\libmutable_graph_view.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\grappler\libop_types.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\grappler\libutils.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\libconcat_lib.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\libconditional_accumulator_base.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\libconv_grad_shape_utils.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\libdense_update_functor.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\libeigen_contraction_kernel_with_mkl.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\libfifo_queue.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\libfused_eigen_output_kernels.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\libgpu_utils.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\libinitializable_lookup_table.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\liblinalg_ops_common.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\liblookup_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\libmfcc.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\libmfcc_dct.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\libmfcc_mel_filterbank.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\libpadding_fifo_queue.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\libpriority_queue.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\libqueue_base.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\libqueue_op.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\librange_sampler.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\libremote_fused_graph_execute_utils.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\libreshape_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\libsampling_kernels.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\libsave_restore_tensor.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\libsdca_internal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\libspectrogram.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\libsplit_lib.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\libstack.a
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C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libmir_parser.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libnvptx_code_gen.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libnvptx_desc.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libnvptx_info.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libobjc_arc.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libobject.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\liborc_error.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\liborc_jit.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libpasses.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libprofile_data.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libremarks.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libruntime_dyld.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libscalar.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libselection_dag.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libsupport.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libtablegen.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libtarget.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libtext_api.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libtransform_utils.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libutils_tablegen.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libvectorize.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libx86_code_gen.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libx86_desc.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libx86_info.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libx86_utils.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\src\compiler\libgrpc_plugin_support.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\third_party\address_sorting\libaddress_sorting.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\base\libbase.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\base\libdynamic_annotations.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\base\libmalloc_internal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\base\libspinlock_wait.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\base\libthrow_delegate.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\container\libhashtablez_sampler.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\container\libraw_hash_set.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\debugging\libdebugging_internal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\debugging\libdemangle_internal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\debugging\libleak_check.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\debugging\libstacktrace.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\debugging\libsymbolize.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\flags\libconfig.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\flags\libflag.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\flags\libhandle.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\flags\libinternal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\flags\libmarshalling.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\flags\libregistry.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\hash\libcity.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\hash\libhash.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\numeric\libint128.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\strings\libinternal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\strings\libstrings.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\strings\libstr_format_internal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\synchronization\libgraphcycles_internal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\synchronization\libsynchronization.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\time\libtime.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\types\libbad_optional_access.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\types\libbad_variant_access.a

Ohne etwas zu verknüpfen, sind dies also die fehlenden Symbole

1>------ Build started: Project: ConsoleApplication1, Configuration: Release x64 ------
1>ConsoleApplication1.obj : error LNK2001: unresolved external symbol "public: virtual __cdecl tensorflow::GPUOptions::~GPUOptions(void)" (??1GPUOptions@tensorflow@@UEAA@XZ)
1>ConsoleApplication1.obj : error LNK2001: unresolved external symbol "public: __cdecl tensorflow::GPUOptions::GPUOptions(void)" (??0GPUOptions@tensorflow@@QEAA@XZ)
1>ConsoleApplication1.obj : error LNK2001: unresolved external symbol "public: void __cdecl google::protobuf::internal::LogFinisher::operator=(class google::protobuf::internal::LogMessage &)" (??4LogFinisher@internal@protobuf@google@@QEAAXAEAVLogMessage@123@@Z)
1>ConsoleApplication1.obj : error LNK2001: unresolved external symbol "public: void * __cdecl google::protobuf::internal::ArenaImpl::AllocateAlignedAndAddCleanup(unsigned __int64,void (__cdecl*)(void *))" (?AllocateAlignedAndAddCleanup@ArenaImpl@internal@protobuf@google@@QEAAPEAX_KP6AXPEAX@Z@Z)
1>ConsoleApplication1.obj : error LNK2001: unresolved external symbol "public: void * __cdecl google::protobuf::internal::ArenaImpl::AllocateAligned(unsigned __int64)" (?AllocateAligned@ArenaImpl@internal@protobuf@google@@QEAAPEAX_K@Z)
1>ConsoleApplication1.obj : error LNK2001: unresolved external symbol "class google::protobuf::internal::ExplicitlyConstructed<class std::basic_string<char,struct std::char_traits<char>,class std::allocator<char> > > google::protobuf::internal::fixed_address_empty_string" (?fixed_address_empty_string@internal@protobuf@google@@3V?$ExplicitlyConstructed@V?$basic_string@DU?$char_traits@D@std@@V?$allocator@D@2@@std@@@123@A)
1>ConsoleApplication1.obj : error LNK2001: unresolved external symbol "public: class google::protobuf::internal::LogMessage & __cdecl google::protobuf::internal::LogMessage::operator<<(char const *)" (??6LogMessage@internal@protobuf@google@@QEAAAEAV0123@PEBD@Z)
1>ConsoleApplication1.obj : error LNK2001: unresolved external symbol "public: __cdecl google::protobuf::internal::LogMessage::~LogMessage(void)" (??1LogMessage@internal@protobuf@google@@QEAA@XZ)
1>ConsoleApplication1.obj : error LNK2001: unresolved external symbol "public: __cdecl google::protobuf::internal::LogMessage::LogMessage(enum google::protobuf::LogLevel,char const *,int)" (??0LogMessage@internal@protobuf@google@@QEAA@W4LogLevel@23@PEBDH@Z)
1>ConsoleApplication1.obj : error LNK2001: unresolved external symbol "private: void __cdecl google::protobuf::Arena::OnArenaAllocation(class type_info const *,unsigned __int64)const " (?OnArenaAllocation@Arena@protobuf@google@@AEBAXPEBVtype_info@@_K@Z)
1>C:\Users\Administrator\source\repos\ConsoleApplication1\x64\Release\ConsoleApplication1.exe : fatal error LNK1120: 10 unresolved externals
1>Done building project "ConsoleApplication1.vcxproj" -- FAILED.
========== Build: 0 succeeded, 1 failed, 0 up-to-date, 0 skipped ==========

Nach dem Hinzufügen des Folgenden

C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\c\libcheckpoint_reader.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\c\libkernels.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\c\libtf_status.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\c\libtf_status_helper.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\c\libtf_tensor.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\libcc_op_gen_main.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\libclient_session.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\libconst_op.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\libgradients.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\libgrad_op_registry.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\libops.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\libscope.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\libwhile_loop.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\libbfc_allocator.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\libcore_cpu_base_no_ops.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\libgif_internal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\libgpu_bfc_allocator.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\libgpu_id_impl.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\libgpu_lib.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\libgraph.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\libjpeg_internal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\libragged_to_dense_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\liballocator_stats.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libblas.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libdevice_description.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libdnn.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libevent.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libexecutor_cache.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libkernel.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libkernel_spec.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libmulti_platform_manager.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libplatform.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libplugin.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libplugin_registry.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\librng.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libscratch_allocator.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libstream_executor_internal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libstream_executor_pimpl.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libtemporary_device_memory.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libtemporary_memory_manager.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libtf_allocator_adapter.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libtimer.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\profiler\libprofiler.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\saved_model\libreader.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libcommon.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libcompilability_check_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libcompilation_passes.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libdevice_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libencapsulate_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libflags.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libresource_operation_safety_analysis.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libshape_inference.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libshape_inference_helpers.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libxla_activity_listener.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libxla_cluster_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libxla_compilation_cache.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libxla_device_no_jit_rewrite_registration.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libxla_launch_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libxla_tensor.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libcommon.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libfrontend_attributes_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libfunctionalize_cond.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libfunctionalize_control_flow.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libfunctionalize_control_flow_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libfunctionalize_while.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\librearrange_function_argument.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libresource_operation_table.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libsharding_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libside_effect_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libtf2xla_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libarray.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libcomparison_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libcpu_function_runtime.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libdebug_options_flags.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libexecutable_run_options.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libexecution_options_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libliteral.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libliteral_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libmetric_table_report.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libparse_flags_from_env.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libprotobuf_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libshape_layout.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libshape_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libstatus_macros.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libutil.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libwindow_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\debug\libdebug_callback_registry.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\debug\libdebug_node_key.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\libbase_rendezvous_mgr.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\libcall_options.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\libcollective_param_resolver_distributed.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\libcollective_rma_distributed.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\libdevice_resolver_distributed.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\libgraph_mgr.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\liblocal_master.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\libmaster.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\libmaster_session.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\libmessage_wrappers.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\libpartial_run_mgr.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\librecent_request_ids.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\libremote_device.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\librequest_id.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\librpc_collective_executor_mgr.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\libscheduler.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\libserver_lib.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\libsession_mgr.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\libtensor_coding.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\libworker.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\libworker_cache_logger.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\libworker_cache_partial.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\libworker_session.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\libattr_value_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\libcommon_shape_fns.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\libnode_def_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\libnode_properties.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\libop.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\libop_def_builder.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\libop_def_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\libop_gen_lib.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\libreader_base.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\libshape_inference.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\grappler\libdevices.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\grappler\libgraph_topology_view.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\grappler\libgraph_view.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\grappler\libgrappler_item.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\grappler\libgrappler_item_builder.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\grappler\libmutable_graph_view.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\grappler\libop_types.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\grappler\libutils.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\libconcat_lib.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\libconditional_accumulator_base.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\libconv_grad_shape_utils.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\libdense_update_functor.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\libeigen_contraction_kernel_with_mkl.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\libfifo_queue.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\libfused_eigen_output_kernels.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\libgpu_utils.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\libinitializable_lookup_table.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\liblinalg_ops_common.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\liblookup_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\libmfcc.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\libmfcc_dct.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\libmfcc_mel_filterbank.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\libpadding_fifo_queue.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\libpriority_queue.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\libqueue_base.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\libqueue_op.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\librange_sampler.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\libremote_fused_graph_execute_utils.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\libreshape_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\libsampling_kernels.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\libsave_restore_tensor.a
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C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\synchronization\libsynchronization.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\time\libtime.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\types\libbad_optional_access.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\types\libbad_variant_access.a

Folgende Symbole fehlen

1>------ Build started: Project: ConsoleApplication1, Configuration: Release x64 ------
1>ConsoleApplication1.obj : error LNK2001: unresolved external symbol "public: virtual __cdecl tensorflow::GPUOptions::~GPUOptions(void)" (??1GPUOptions@tensorflow@@UEAA@XZ)
1>ConsoleApplication1.obj : error LNK2001: unresolved external symbol "public: __cdecl tensorflow::GPUOptions::GPUOptions(void)" (??0GPUOptions@tensorflow@@QEAA@XZ)
1>C:\Users\Administrator\source\repos\ConsoleApplication1\x64\Release\ConsoleApplication1.exe : fatal error LNK1120: 2 unresolved externals
1>Done building project "ConsoleApplication1.vcxproj" -- FAILED.

Dies ist ein Ergebnis des Kompilierens

#include "tensorflow/core/protobuf/control_flow.pb.h"
#include "tensorflow/core/protobuf/config.pb.h"
#include <iostream>

int main() {
    tensorflow::GPUOptions gpu_options;

    std::cout << "Before: allocator_type " << gpu_options.allocator_type() << std::endl;
    gpu_options.set_visible_device_list("0");
    std::cout << "After: allocator_type " << gpu_options.allocator_type() << std::endl;

}

Mit MSVC 2019

folgendes Projekt.

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C:\Users\Administrator\dev\tensorflow\bazel-bin\external\libjpeg_turbo\libjpeg.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\libjpeg_turbo\libsimd_win_x86_64.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\lmdb\liblmdb.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\mkl_dnn\libmkldnn_single_threaded.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\nsync\libnsync_cpp.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\org_sqlite\liborg_sqlite.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\png\libpng.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\snappy\libsnappy.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\upb\libupb.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\zlib\libzlib.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\src\compiler\libgrpc_plugin_support.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\third_party\address_sorting\libaddress_sorting.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\base\libbase.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\base\libdynamic_annotations.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\base\libmalloc_internal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\base\libspinlock_wait.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\base\libthrow_delegate.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\container\libhashtablez_sampler.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\container\libraw_hash_set.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\debugging\libdebugging_internal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\debugging\libdemangle_internal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\debugging\libleak_check.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\debugging\libstacktrace.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\debugging\libsymbolize.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\flags\libconfig.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\flags\libflag.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\flags\libhandle.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\flags\libinternal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\flags\libmarshalling.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\flags\libregistry.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\hash\libcity.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\hash\libhash.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\numeric\libint128.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\strings\libinternal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\strings\libstrings.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\strings\libstr_format_internal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\synchronization\libgraphcycles_internal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\synchronization\libsynchronization.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\time\libtime.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\types\libbad_optional_access.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\types\libbad_variant_access.a %(AdditionalOptions)</AdditionalOptions>
    </Link>
  </ItemDefinitionGroup>
  <ItemGroup>
    <ClCompile Include="ConsoleApplication1.cpp" />
  </ItemGroup>
  <Import Project="$(VCTargetsPath)\Microsoft.Cpp.targets" />
  <ImportGroup Label="ExtensionTargets">
  </ImportGroup>
</Project>

dev.zip

@gunan
Also meine Frage lautet wie folgt:

Wenn Sie nicht auf libprotobuf.lib verlinken können, um Symbole für tensorflow_cc.dll bereitzustellen, und Sie statisch verlinken müssen, wie machen Sie das?

Können Sie den Code main.cpp kompilieren und mir sagen, was Sie mit statischer Verlinkung als Ergebnis erhalten?

main.cpp

#include "tensorflow/core/protobuf/control_flow.pb.h"
#include "tensorflow/core/protobuf/config.pb.h"
#include <iostream>

int main() {
    tensorflow::GPUOptions gpu_options;

    std::cout << "Before: allocator_type " << gpu_options.allocator_type() << std::endl;
    gpu_options.set_visible_device_list("0");
    std::cout << "After: allocator_type " << gpu_options.allocator_type() << std::endl;

}

Ich habe vorher ein wenig nachgesehen und es scheint, dass config.proto In tensorflow/core/protobuf die fehlenden Symbole enthält, und obwohl die .o-Dateien gefunden werden können, konnte ich dem Pfad innerhalb der Bazel-Indirektion nicht folgen, um zu sehen, ob diese Objektdateien vorhanden sind in einem der .a-Objektarchive landen, tun sie das offensichtlich nicht, sonst würden die Symbole nicht fehlen.

Aber ist das Teil des Problems?

Die .proto-Datei erstellt eine .cc-Datei, die wiederum die Objektdatei erstellt, aber die Header werden ebenfalls erstellt. Ich bin mir nicht sicher, ob die Header die Symbole als exponiert deklarieren oder nicht.

Am Morgen werde ich versuchen, die .o-Dateien zu den zusätzlichen Bibliotheken hinzuzufügen. Aber es gibt eine Zeichenbeschränkung für die hinzugefügten Bibliotheken und Bibliotheken, sodass das Hinzufügen jeder Objektdatei möglicherweise nicht möglich ist.

Was dazu führt, dass statische .lib .a- und .o-Dateien in ein großes statisches Archiv gestopft werden.

Was mit bazel unter Linux und macOS mit einer großen Wortgröße auf der Shell mit ar erfolgen sollte, kann aus den Objektdateien erfolgen.

@gunan
Können wir bitte statische Ziele für C++ und Tensorflow haben?

Ich denke, es ist vernünftig.
@meteorcloudy wie können wir ein Ziel erstellen, das die Kombination der einzelnen .a-Dateien ist, die @samhodge oben abgebaut hat? Kann Bazel diese zusammenführen?

Verlinkung zu folgendem
Führt zu den folgenden fehlenden Symbolen

siehe Anhang
Ausgabe.zip

Beim Kompilieren

C:\Users\Administrator\dev\tensorflow\bazel-bin\external\boringssl\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\src\compiler\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\third_party\address_sorting\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\base\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\container\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\debugging\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\flags\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\hash\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\numeric\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\strings\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\synchronization\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\time\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\types\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_protobuf\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_googlesource_code_re2\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\double_conversion\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\farmhash_archive\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\fft2d\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\gif\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\highwayhash\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\icu\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\jsoncpp_git\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\libjpeg_turbo\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\lmdb\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\mkl_dnn\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\nsync\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\org_sqlite\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\png\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\snappy\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\upb\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\zlib\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\c\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\profiler\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\saved_model\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\graphcycles\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\cc\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\kernels\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\lib\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\client\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\service\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\common_runtime\eager\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\debug\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\eager\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\rpc\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\grappler\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\grappler\clusters\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\grappler\costs\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\grappler\inputs\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\grappler\optimizers\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\grappler\utils\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\grappler\verifiers\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\batching_util\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\boosted_trees\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\data\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\rnn\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\tensor_forest\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\lib\bfloat16\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\lib\core\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\lib\db\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\lib\hash\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\lib\io\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\lib\monitoring\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\lib\png\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\lib\strings\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\platform\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\platform\default\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\platform\windows\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\profiler\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\profiler\convert\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\profiler\internal\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\profiler\lib\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\profiler\utils\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\summary\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\tpu\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\util\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\util\ctc\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\util\proto\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\util\rpc\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\util\tensor_bundle\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\cuda\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\gpu\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\host\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\lib\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\platform\default\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\rocm\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\tools\proto_text\*.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\_objs\xla_activity_proto_cc_impl\*.o
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\_objs\host_compute_metadata_proto_cc_impl\*.o
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\_objs\tf2xla_proto_cc_impl\*.o
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\_objs\xla_data_proto_cc_impl\*.o
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\_objs\xla_proto_cc_impl\*.o
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\service\_objs\hlo_proto_cc_impl\*.o
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\service\gpu\_objs\gpu_autotuning_proto_cc_impl\*.o
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\_objs\autotuning_proto_cc_impl\*.o
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\_objs\conv_autotuning_proto_cc_impl\*.o
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\_objs\eager_service_proto_cc_impl\*.o
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\_objs\master_proto_cc_impl\*.o
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\_objs\worker_proto_cc_impl\*.o
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\debug\_objs\debug_service_proto_cc_impl\*.o
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\debug\_objs\debugger_event_metadata_proto_cc_impl\*.o
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\example\_objs\example_parser_configuration_proto_cc_impl\*.o
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\_objs\allocation_description_proto_cc_impl\*.o
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\_objs\api_def_proto_cc_impl\*.o
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\_objs\attr_value_proto_cc_impl\*.o
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\_objs\cost_graph_proto_cc_impl\*.o
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\_objs\device_attributes_proto_cc_impl\*.o
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\_objs\function_proto_cc_impl\*.o
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\_objs\graph_proto_cc_impl\*.o
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\_objs\graph_transfer_info_proto_cc_impl\*.o
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\_objs\kernel_def_proto_cc_impl\*.o
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\_objs\log_memory_proto_cc_impl\*.o
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\_objs\node_def_proto_cc_impl\*.o
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\_objs\op_def_proto_cc_impl\*.o
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\_objs\reader_base_proto_cc_impl\*.o
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\_objs\remote_fused_graph_execute_info_proto_cc_impl\*.o
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\_objs\resource_handle_proto_cc_impl\*.o
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\_objs\step_stats_proto_cc_impl\*.o
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\_objs\summary_proto_cc_impl\*.o
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\_objs\tensor_description_proto_cc_impl\*.o
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\_objs\tensor_proto_cc_impl\*.o
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\_objs\tensor_shape_proto_cc_impl\*.o
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\_objs\tensor_slice_proto_cc_impl\*.o
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\_objs\types_proto_cc_impl\*.o
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\_objs\variable_proto_cc_impl\*.o
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\_objs\versions_proto_cc_impl\*.o
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\kernels\boosted_trees\_objs\boosted_trees_proto_cc_impl\*.o
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\lib\core\_objs\error_codes_proto_cc_impl\*.o
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\profiler\protobuf\_objs\xplane_proto_cc_impl\*.o
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\protobuf\tpu\_objs\optimization_parameters_proto_cc_impl\*.o
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\protobuf\tpu\_objs\tpu_embedding_configuration_proto_cc_impl\*.o
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\protobuf\tpu\_objs\tpu_embedding_output_layout_proto_cc_impl\*.o
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\util\_objs\event_proto_cc_impl\*.o
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\util\_objs\memmapped_file_system_proto_cc_impl\*.o
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\util\_objs\saved_tensor_slice_proto_cc_impl\*.o
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\_objs\dnn_proto_cc_impl\*.o

Mit Include-Dateien als

C:\Users\Administrator\dev\tensorflow
C:\Users\Administrator\dev\tensorflow\bazel-tensorflow\external\com_google_protobuf\src
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow
C:\Users\Administrator\dev\tensorflow\bazel-bin
C:\Users\Administrator\dev\tensorflow\tensorflow

Die Kompilierung ist erfolgreich, das Verknüpfen schlägt wie oben fehl.

Danke, ich werde es später versuchen.

------------------ 原始邮件 ------------------
发件人: "Sam Hodge"< [email protected]>;
Datum: 6.10.2020 (星期三) um 8:55 Uhr
收件人: "tensorflow/tensorflow"< [email protected]>;
抄送: „Abonniert“< [email protected]>;
Beispiel: Betreff: [tensorflow/tensorflow] Windows C++ tensorflow_cc.dll hat überlappende Speicheradressen zwischen String-GPU-Optionen für „Zuweisungstyp“ und „Liste sichtbarer Geräte“ (#39439)

Verlinkung zu folgendem
Führt zu den folgenden fehlenden Symbolen

siehe Anhang
Ausgabe.zip

Beim Kompilieren
C:\Benutzer\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit_objs\xla_activity_proto_cc_impl*.o C:\Benutzer\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla_objshost_compute_metadata_proto_cc_impl*.o C: \Benutzer\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla_objs\tf2xla_proto_cc_impl*.o C:\Benutzer\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla_objs\xla_data_proto_cc_impl*.o C: \Benutzer\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla_objs\xla_proto_cc_impl*.o C:\Benutzer\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\service_objshlo_proto_cc_impl*.o C: \Benutzer\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\service\gpu_objs\gpu_autotuning_proto_cc_impl*.o C:\Benutzer\Administrator\dev\tensorflow\bazel-bin\tensorflow\core_objs\autotuning_proto_cc_impl*.o C:\Benutzer\Administrator\dev\tensorflow\bazel-bin\tensorflow\core_objs\conv_autotuning_proto_cc_impl*.o C:\Benutzer\Administrator\dev\tensorflow\bazel-b in\tensorflow\core_objs\eager_service_proto_cc_impl*.o C:\Benutzer\Administrator\dev\tensorflow\bazel-bin\tensorflow\core_objsmaster_proto_cc_impl*.o C:\Benutzer\Administrator\dev\tensorflow\bazel-bin\tensorflow\core_objs\ worker_proto_cc_impl*.o C:\Benutzer\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\debug_objs\debug_service_proto_cc_impl*.o C:\Benutzer\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\debug_objs\ debugger_event_metadata_proto_cc_impl*.o C:\Benutzer\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\example_objs\example_parser_configuration_proto_cc_impl*.o C:\Benutzer\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework_objs\ Zuweisungsbeschreibung_proto_cc_impl*.o C:\Benutzer\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework_objs\api_def_proto_cc_impl*.o C:\Benutzer\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework_objs\ attr_value_proto_cc_impl*.o C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework_objs\cost_g raph_proto_cc_impl*.o C:\Benutzer\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework_objs\device_attributes_proto_cc_impl*.o C:\Benutzer\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework_objs\ function_proto_cc_impl*.o C:\Benutzer\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework_objs\graph_proto_cc_impl*.o C:\Benutzer\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework_objs\ graph_transfer_info_proto_cc_impl*.o C:\Benutzer\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework_objs\kernel_def_proto_cc_impl*.o C:\Benutzer\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework_objs\ log_memory_proto_cc_impl*.o C:\Benutzer\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework_objs\node_def_proto_cc_impl*.o C:\Benutzer\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework_objs\ op_def_proto_cc_impl*.o C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework_objs\reader_base_proto_cc_impl*.o C:\Users\Ad ministrator\dev\tensorflow\bazel-bin\tensorflow\core\framework_objs\remote_fused_graph_execute_info_proto_cc_impl*.o C:\Benutzer\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework_objs\resource_handle_proto_cc_impl*.o C:\Benutzer\ Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework_objs\step_stats_proto_cc_impl*.o C:\Benutzer\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework_objs\summary_proto_cc_impl*.o C:\Benutzer\ Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework_objs\tensor_description_proto_cc_impl*.o C:\Benutzer\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework_objs\tensor_proto_cc_impl*.o C:\Benutzer\ Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework_objs\tensor_shape_proto_cc_impl*.o C:\Benutzer\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework_objs\tensor_slice_proto_cc_impl*.o C:\Benutzer\ Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework_objs\types_proto_cc_impl*.o C:\Users\Administrator \dev\tensorflow\bazel-bin\tensorflow\core\framework_objs\variable_proto_cc_impl*.o C:\Benutzer\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework_objs\versions_proto_cc_impl*.o C:\Benutzer\Administrator \dev\tensorflow\bazel-bin\tensorflow\core\kernels\boosted_trees_objs\boosted_trees_proto_cc_impl*.o C:\Benutzer\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\lib\core_objs\error_codes_proto_cc_impl*.o C: \Benutzer\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\profiler\protobuf_objs\xplane_proto_cc_impl*.o C:\Benutzer\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\protobuf\tpu_objs\optimization_parameters_proto_cc_impl* .o C:\Benutzer\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\protobuf\tpu_objs\tpu_embedding_configuration_proto_cc_impl*.o C:\Benutzer\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\protobuf\ tpu_objs\tpu_embedding_output_layout_proto_cc_impl*.o C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\util_objs\event_proto_cc_impl*. o C:\Benutzer\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\util_objs\memmapped_file_system_proto_cc_impl*.o C:\Benutzer\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\util_objs\saved_tensor_slice_proto_cc_impl*. o C:\Benutzer\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor_objs\dnn_proto_cc_impl*.o
Mit Include-Dateien als
C:\Benutzer\Administrator\dev\tensorflow C:\Benutzer\Administrator\dev\tensorflow\bazel-tensorflow\external\com_google_protobuf\src C:\Benutzer\Administrator\dev\tensorflow\bazel-bin\tensorflow C:\Benutzer \Administrator\dev\tensorflow\bazel-bin C:\Benutzer\Administrator\dev\tensorflow\tensorflow
Die Kompilierung ist erfolgreich, das Verknüpfen schlägt wie oben fehl.

—
Sie erhalten dies, weil Sie diesen Thread abonniert haben.
Antworten Sie direkt auf diese E-Mail, zeigen Sie sie auf GitHub an oder kündigen Sie sie.

Ich bin verblüfft. Ich sehe, dass Sie .a-Dateien unter com_google_protobuf abrufen. Ich habe keine Ahnung, wie Sie die Symbolfehler sehen.

Ich bin verblüfft. Ich sehe, dass Sie .a-Dateien unter com_google_protobuf abrufen. Ich habe keine Ahnung, wie Sie die Symbolfehler sehen.

Ja, es scheint verwirrend, wenn jemand anderes es selbst versuchen möchte, sind dies im Wesentlichen die Artefakte, die aus r2.2 erstellt und das Ziel //tensorflow:tensorflow_cc.dll mit CUDA 10.2 mit Visual Studio 2019 definiert werden.

Ich bin verblüfft. Ich sehe, dass Sie .a-Dateien unter com_google_protobuf abrufen. Ich habe keine Ahnung, wie Sie die Symbolfehler sehen.

Wenn Sie die .o -Dateien, die aus der .proto -Datei erstellt wurden, nicht einbeziehen, sind die einzigen fehlenden Symbole

1>------ Build started: Project: ConsoleApplication1, Configuration: Release x64 ------
1>ConsoleApplication1.obj : error LNK2001: unresolved external symbol "public: virtual __cdecl tensorflow::GPUOptions::~GPUOptions(void)" (??1GPUOptions@tensorflow@@UEAA@XZ)
1>ConsoleApplication1.obj : error LNK2001: unresolved external symbol "public: __cdecl tensorflow::GPUOptions::GPUOptions(void)" (??0GPUOptions@tensorflow@@QEAA@XZ)
1>C:\Users\Administrator\source\repos\ConsoleApplication1\x64\Release\ConsoleApplication1.exe : fatal error LNK1120: 2 unresolved externals
1>Done building project "ConsoleApplication1.vcxproj" -- FAILED.

Das Einbeziehen der .o -Dateien der C++-Protobuf-Ziele .proto erweitert diese Liste auf fast 200 fehlende Symbole.

@meteorcloudy @sanjoy @gunan

Ein Monat ist vergangen, seit dieses Problem gemeldet wurde.

Ich habe alles versucht, was von mir verlangt wurde, aber wir sind immer noch an dem Punkt angelangt, an dem wir einen Reproduktionsfall unter zwanzig Zeilen nicht mehr bearbeiten können.

Die Reise umfasste die Erstellung einer vollständigen und reproduzierbaren Kompilierzeit- und Laufzeitumgebung.

Jetzt bin ich an einem Punkt angelangt, an dem beim Verknüpfen zwei fehlende Symbole GPUOptions C++ Konstruktor und Destruktor als C-Deklarationen vorhanden sind, die darauf hinweisen, dass sie dynamisch verknüpft werden sollten

Aber wir versuchen, statisch zu verlinken.

Mein nächster Schritt besteht darin, das aus der .proto-Datei in GitHub erstellte .cc-Zwischenprodukt zu untersuchen, um zu sehen, ob die fehlenden Symbole schwarz auf weiß vorhanden sind.

Von dort können wir nur zwei Ergebnisse sehen

Die Symbole sind da und wir folgen dem Verknüpfungsprozess

Die Symbole fehlen, und wir schauen nach oben, um den GPUOptions-Konstruktor und -Destruktor zu einer DEF-Liste in einer .lds-Datei hinzuzufügen, um sicherzustellen, dass die Konvertierung von .proro in eine ausführbare Datei mit dem beabsichtigten Verhalten der Software übereinstimmt

Aber dies ist eine dynamische Verknüpfungslösung, und mir wurde gesagt, dass die beste Lösung die statische Verknüpfung ist, um die 65-KB-Symbolbeschränkungen in Windows zu überwinden

Da es keine Designdokumente darüber gibt, wie Bazel diesen Prozess beabsichtigen soll

Ich verlasse mich auf das Tensorflow-Team, um mich zu führen.

Oder ich mache einfach weiter Annahmen und teste sie dann mit Experimenten, was eine schlechte Nutzung meiner begrenzten Ressourcen ist

Kann ich bitte um eine Anleitung bitten?

Sam

Lassen Sie dies hier für meine letzte Referenz

https://en.wikipedia.org/wiki/X86_calling_conventions

Hallo Sam,
Wir schätzen Ihr Feedback.
Wie ich oben erwähnt habe, sind mir die Ideen ausgegangen, und wir sind an dem Punkt angelangt, an dem wir Bazel über Windows-Expertise benötigen, um uns zu helfen, einige davon zu erklären.

Leider sitzt bazel team in Deutschland. Sie haben auch unterschiedliche Urlaubspläne, unterschiedliche Einschränkungen und Prozesse für die Reaktion auf Probleme von github. Genau wie Sie warte ich auch auf ein Feedback und eine Anleitung von ihnen.

Danke für die Transparenz, das hilft sicherlich beim Frustrationslevel

Wenn es die Zeit erlaubt, werde ich heute Morgen weitere Experimente durchführen

Ich bin wirklich dankbar für alles, was Sie geben können

Beifall!

Bitte sehen Sie sich die config.pb.h und config.pb.cc an, die sich aus config.proto in ergeben

https://github.com/tensorflow/tensorflow/commit/a94839d7910dc5dfa4b6cde20445b1d5a2fa53b8

dh

https://github.com/tensorflow/tensorflow/blob/r2.2/tensorflow/core/protobuf/config.proto

protobuf.zip

Ich füge das entsprechende Stück Code ein:

#if !defined(_MSC_VER) || _MSC_VER >= 1900
const int GPUOptions::kPerProcessGpuMemoryFractionFieldNumber;
const int GPUOptions::kAllowGrowthFieldNumber;
const int GPUOptions::kAllocatorTypeFieldNumber;
const int GPUOptions::kDeferredDeletionBytesFieldNumber;
const int GPUOptions::kVisibleDeviceListFieldNumber;
const int GPUOptions::kPollingActiveDelayUsecsFieldNumber;
const int GPUOptions::kPollingInactiveDelayMsecsFieldNumber;
const int GPUOptions::kForceGpuCompatibleFieldNumber;
const int GPUOptions::kExperimentalFieldNumber;
#endif  // !defined(_MSC_VER) || _MSC_VER >= 1900

GPUOptions::GPUOptions()
  : ::PROTOBUF_NAMESPACE_ID::Message(), _internal_metadata_(nullptr) {
  SharedCtor();
  // @@protoc_insertion_point(constructor:tensorflow.GPUOptions)
}
GPUOptions::GPUOptions(::PROTOBUF_NAMESPACE_ID::Arena* arena)
  : ::PROTOBUF_NAMESPACE_ID::Message(),
  _internal_metadata_(arena) {
  SharedCtor();
  RegisterArenaDtor(arena);
  // @@protoc_insertion_point(arena_constructor:tensorflow.GPUOptions)
}
GPUOptions::GPUOptions(const GPUOptions& from)
  : ::PROTOBUF_NAMESPACE_ID::Message(),
      _internal_metadata_(nullptr) {
  _internal_metadata_.MergeFrom(from._internal_metadata_);
  allocator_type_.UnsafeSetDefault(&::PROTOBUF_NAMESPACE_ID::internal::GetEmptyStringAlreadyInited());
  if (from.allocator_type().size() > 0) {
    allocator_type_.Set(&::PROTOBUF_NAMESPACE_ID::internal::GetEmptyStringAlreadyInited(), from.allocator_type(),
      GetArenaNoVirtual());
  }
  visible_device_list_.UnsafeSetDefault(&::PROTOBUF_NAMESPACE_ID::internal::GetEmptyStringAlreadyInited());
  if (from.visible_device_list().size() > 0) {
    visible_device_list_.Set(&::PROTOBUF_NAMESPACE_ID::internal::GetEmptyStringAlreadyInited(), from.visible_device_list(),
      GetArenaNoVirtual());
  }
  if (from.has_experimental()) {
    experimental_ = new ::tensorflow::GPUOptions_Experimental(*from.experimental_);
  } else {
    experimental_ = nullptr;
  }
  ::memcpy(&per_process_gpu_memory_fraction_, &from.per_process_gpu_memory_fraction_,
    static_cast<size_t>(reinterpret_cast<char*>(&polling_inactive_delay_msecs_) -
    reinterpret_cast<char*>(&per_process_gpu_memory_fraction_)) + sizeof(polling_inactive_delay_msecs_));
  // @@protoc_insertion_point(copy_constructor:tensorflow.GPUOptions)
}

void GPUOptions::SharedCtor() {
  ::PROTOBUF_NAMESPACE_ID::internal::InitSCC(&scc_info_GPUOptions_tensorflow_2fcore_2fprotobuf_2fconfig_2eproto.base);
  allocator_type_.UnsafeSetDefault(&::PROTOBUF_NAMESPACE_ID::internal::GetEmptyStringAlreadyInited());
  visible_device_list_.UnsafeSetDefault(&::PROTOBUF_NAMESPACE_ID::internal::GetEmptyStringAlreadyInited());
  ::memset(&experimental_, 0, static_cast<size_t>(
      reinterpret_cast<char*>(&polling_inactive_delay_msecs_) -
      reinterpret_cast<char*>(&experimental_)) + sizeof(polling_inactive_delay_msecs_));
}

GPUOptions::~GPUOptions() {
  // @@protoc_insertion_point(destructor:tensorflow.GPUOptions)
  SharedDtor();
}

void GPUOptions::SharedDtor() {
  GOOGLE_DCHECK(GetArenaNoVirtual() == nullptr);
  allocator_type_.DestroyNoArena(&::PROTOBUF_NAMESPACE_ID::internal::GetEmptyStringAlreadyInited());
  visible_device_list_.DestroyNoArena(&::PROTOBUF_NAMESPACE_ID::internal::GetEmptyStringAlreadyInited());
  if (this != internal_default_instance()) delete experimental_;
}

void GPUOptions::ArenaDtor(void* object) {
  GPUOptions* _this = reinterpret_cast< GPUOptions* >(object);
  (void)_this;
}
void GPUOptions::RegisterArenaDtor(::PROTOBUF_NAMESPACE_ID::Arena*) {
}
void GPUOptions::SetCachedSize(int size) const {
  _cached_size_.Set(size);
}
const GPUOptions& GPUOptions::default_instance() {
  ::PROTOBUF_NAMESPACE_ID::internal::InitSCC(&::scc_info_GPUOptions_tensorflow_2fcore_2fprotobuf_2fconfig_2eproto.base);
  return *internal_default_instance();
}

Wir können sehen, dass diese Symbole nicht in cdecl eingeschlossen sind

sehen
https://docs.microsoft.com/en-us/cpp/cpp/cdecl?view=vs-2019

Die Symbole fehlen also.

Ich werde versuchen, zu bearbeiten:

https://github.com/tensorflow/tensorflow/blob/r2.2/tensorflow/tf_exported_symbols.lds

um *GPUOptions* hinzuzufügen

Dann sehen, wo die Dinge von dort aus gehen.

Ich verbringe heute ein wenig Zeit damit

aber es gibt zwei Problemumgehungen

siehe diesen Kommentar https://github.com/tensorflow/tensorflow/issues/23542#issuecomment -464730964

Und in diesem Thread stellt das TF_EXPORT-Makro zwar Symbole dar, aber nicht durch eine Schicht von .proto - bis .pb.cc - und .pb.h -Kompilierung.

Wir brauchen also einen Mechanismus, um Symbole verfügbar zu machen, die durch protobuf kompiliert werden

OK, ich habe Fortschritte gemacht

aus diesem Programm

C++-Treiber, wie von @gunan empfohlen

#include "tensorflow/core/protobuf/control_flow.pb.h"
#include "tensorflow/core/protobuf/config.pb.h"
#include <iostream>

int main() {
    tensorflow::GPUOptions gpu_options;

    std::cout << "Before: allocator_type " << gpu_options.allocator_type() << std::endl;
    gpu_options.set_visible_device_list("0");
    std::cout << "After: allocator_type " << gpu_options.allocator_type() << std::endl;



}

Ergebnis der MSVC 2019

2020-06-15 13:32:45.972341: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_102.dll
Before: allocator_type
After: allocator_type 0

C:\Users\Administrator\source\repos\ConsoleApplication1\x64\Release\ConsoleApplication1.exe (process 10276) exited with code 0.
To automatically close the console when debugging stops, enable Tools->Options->Debugging->Automatically close the console when debugging stops.
Press any key to close this window . . .

Die Include-Verzeichnisse sind wie folgt:

C:\Users\Administrator\dev\attempt2\tensorflow\bazel-tensorflow\external\com_google_protobuf\src
C:\Users\Administrator\dev\attempt2\tensorflow\bazel-bin\tensorflow
C:\Users\Administrator\dev\attempt2\tensorflow\bazel-bin
C:\Users\Administrator\dev\attempt2\tensorflow
%(AdditionalIncludeDirectories)

es war verlinkt

C:\Users\Administrator\dev\attempt2\tensorflow\bazel-bin\external\com_google_protobuf\libprotoc_lib.a
C:\Users\Administrator\dev\attempt2\tensorflow\bazel-bin\external\com_google_protobuf\libprotobuf_lite.a
C:\Users\Administrator\dev\attempt2\tensorflow\bazel-bin\tensorflow\tensorflow_cc.lib
%(AdditionalDependencies)

Wo dies Artefakte sind, aus denen sie erstellt wurden

cd C:\Users\Administrator\dev\
mkdir attempt2
git clone https://github.com/tensorflow/tensorflow.git
cd .\tensorflow
git checkout r2.2
notepad.exe .\tensorflow\tf_version_script.lds (add line '*GPUOptions*')
notepad.exe .\tensorflow\tf_exported_symbols.lds (add line '*GPUOptions*')
. .\..\..\scripts\buildenv.ps1
. .\..\..\script\build-tf.ps1

wo script enthält

buildenv.ps1

pushd 'C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Auxiliary\Build\'    
cmd /c "vcvarsall.bat x64 & set" |
foreach {
  if ($_ -match "=") {
    $v = $_.split("="); set-item -force -path "ENV:\$($v[0])"  -value "$($v[1])"
  }
}
popd
write-host "`nVisual Studio 2019 Command Prompt variables set." -ForegroundColor Yellow

build-tf.ps1

$ENV:USE_BAZEL_VERSION="2.0.0"
$ENV:PYTHON_BIN_PATH="C:/ProgramData/Anaconda3/python.exe"
$ENV:PYTHON_LIB_PATH="C:/ProgramData/Anaconda3/"
$ENV:Path += ";C:/msys64/usr/bin"
$ENV:Path += ";C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.2/bin"
$ENV:Path += ";C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.2/extras/CUPTI/libx64"
$ENV:Path += ";C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/cudnn-10.2-windows10-x64-v7.6.5.32/cuda/bin"
$ENV:BAZEL_SH = "C:/msys64/usr/bin/bash.exe"
$ENV:CUDA_TOOLKIT_PATH="C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.2/"
$ENV:TF_CUDA_VERSION="10.2"
$ENV:CUDNN_INSTALL_PATH="C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/cudnn-10.2-windows10-x64-v7.6.5.32/cuda"
$ENV:TF_CUDA_COMPUTE_CAPABILITIES="7.0"
$ENV:TF_CUDNN_VERSION="7"
$ENV:TF_NCCL_VERSION="1"
$ENV:TF_CUDA_CLANG="0"
$ENV:TF_NEED_CUDA="1"
$ENV:TF_NEED_ROCM="0"
$ENV:TF_NEED_OPENCL_SYCL="0"


$params = "configure.py",""
cmd /c "ECHO Y" | & python.exe <strong i="12">@params</strong> 
bazel.exe build --copt=-nvcc_options=disable-warnings --test_tag_filters=-no_oss,-gpu,-benchmark-test,-nomac,-no_mac --announce_rc --test_timeout 300,450,1200,3600 --test_size_filters=small,medium --jobs=48 //tensorflow:tensorflow_cc.dll 
bazel.exe build --copt=-nvcc_options=disable-warnings --test_tag_filters=-no_oss,-gpu,-benchmark-test,-nomac,-no_mac --announce_rc --test_timeout 300,450,1200,3600 --test_size_filters=small,medium --jobs=48 //tensorflow:tensorflow_cc.lib 

zusätzlich
dieser C++-Treiber

#include "tensorflow/core/protobuf/control_flow.pb.h"
#include "tensorflow/core/protobuf/config.pb.h"
#include <iostream>

int main() {
  tensorflow::GPUOptions gpu_options;

  gpu_options.set_visible_device_list("0");

  std::cout << "allocator_type " << gpu_options.allocator_type() << std::endl;
  std::cout << "visible_device_list " << gpu_options.visible_device_list() << std::endl;

  gpu_options.set_allocator_type("7");

  std::cout << "allocator_type " << gpu_options.allocator_type() << std::endl; 
  std::cout << "visible_device_list " << gpu_options.visible_device_list() << std::endl; 


  gpu_options.set_visible_device_list("5");

  std::cout << "allocator_type " << gpu_options.allocator_type() << std::endl; 
  std::cout << "visible_device_list " << gpu_options.visible_device_list() << std::endl; 

  gpu_options.set_allocator_type("3");

  std::cout << "allocator_type " << gpu_options.allocator_type() << std::endl; 
  std::cout << "visible_device_list " << gpu_options.visible_device_list() << std::endl; 


}

Produziert

2020-06-15 13:48:44.006207: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_102.dll
allocator_type 0
visible_device_list 0
allocator_type 7
visible_device_list 7
allocator_type 5
visible_device_list 5
allocator_type 3
visible_device_list 3

C:\Users\Administrator\source\repos\ConsoleApplication1\x64\Release\ConsoleApplication1.exe (process 11204) exited with code 0.
To automatically close the console when debugging stops, enable Tools->Options->Debugging->Automatically close the console when debugging stops.
Press any key to close this window . . .

Also , @sanjoy @gunan @meteorcloudy , Sie können jetzt die Reproduktionsschritte mit r2.2 CUDA 10.2 MSVC 2019 und den oben aufgeführten CUDNN-Versionen ausführen.

hier ist mein git diff

PS C:\Users\Administrator\dev\attempt2\tensorflow> notepad.exe ..\..\scripts\buildenv.ps1
PS C:\Users\Administrator\dev\attempt2\tensorflow> git diff
diff --git a/tensorflow/tf_exported_symbols.lds b/tensorflow/tf_exported_symbols.lds
index 8bbd4199f8..cf6d24f672 100644
--- a/tensorflow/tf_exported_symbols.lds
+++ b/tensorflow/tf_exported_symbols.lds
@@ -8,3 +8,4 @@
 *nsync_*
 *stream_executor*
 *xla*
+*GPU*
diff --git a/tensorflow/tf_version_script.lds b/tensorflow/tf_version_script.lds
index 303ba98b9a..3ce222e76d 100644
--- a/tensorflow/tf_version_script.lds
+++ b/tensorflow/tf_version_script.lds
@@ -10,6 +10,7 @@ tensorflow {
     *nsync_*;
     *stream_executor*;
     *xla*;
+    *GPUOptions*
   local:
     *;
 };

Betrachtet man das:

https://github.com/protocolbuffers/protobuf/blob/master/src/google/protobuf/arenastring.h#L249

  // Called from generated code / reflection runtime only. Resets value to point
  // to a default string pointer, with the semantics that this ArenaStringPtr
  // does not own the pointed-to memory. Disregards initial value of ptr_ (so
  // this is the *ONLY* safe method to call after construction or when
  // reinitializing after becoming the active field in a oneof union).
  inline void UnsafeSetDefault(const ::std::string* default_value) {
    // Casting away 'const' is safe here: accessors ensure that ptr_ is only
    // returned as a const if it is equal to default_value.
    ptr_ = const_cast< ::std::string*>(default_value);
  }

Würde dies dazu führen, dass sich der Zuweisungstyp und die sichtbare GPU-Liste in derselben Zeichenfolge befinden.

@samhodge

Ich habe eine win_cc_static_library- Regel geschrieben, um eine statische cc-Bibliothek zu erstellen, die mit allen angegebenen transitiven Deps unter Windows verknüpft ist. Bitte prüfen Sie, ob es hilft.

Wenn es die Zeit erlaubt, werde ich das in etwa 7 Stunden von jetzt an versuchen

Es wäre also einfach eine Sache, die gleichen Abhängigkeiten am Ziel //t ensorflow:tensorflow_cc.dll zu haben und ihm einen Namen zu geben, und es passiert Magie, und ich kann auf die .a- oder .lib-Datei verlinken, ohne etwas extra verfügbar machen zu müssen Symbole?

Ist das richtig @meteorcloudy ?

OK, ich habe etwas Zeit gefunden

hier ist meine methode:

Klon r2.2
fügen Sie die win_cc_static_library.bzl -Datei zum Tensorflow-Verzeichnis hinzu

load("@bazel_tools//tools/cpp:toolchain_utils.bzl", "find_cpp_toolchain")


# A rule to create a C++ static library linked with all given dependencies on Windows.
def _win_cc_static_library_impl(ctx):
    output_lib = ctx.actions.declare_file("{}.lib".format(ctx.attr.name))

    cc_toolchain = find_cpp_toolchain(ctx)

    lib_sets = []
    for dep in ctx.attr.deps:
        if hasattr(dep[CcInfo].linking_context.libraries_to_link, "to_list"):
            lib_sets.append(dep[CcInfo].linking_context.libraries_to_link)
        else:
            lib_sets.append(depset(direct = dep[CcInfo].linking_context.libraries_to_link))
    libraries_to_link = depset(transitive = lib_sets)

    libs = []
    libs.extend([lib.pic_static_library for lib in libraries_to_link.to_list() if lib.pic_static_library])
    libs.extend([
        lib.static_library
        for lib in libraries_to_link.to_list()
        if lib.static_library and not lib.pic_static_library
    ])

    params_file = ctx.actions.declare_file("{}.params".format(ctx.attr.name))

    params = ["/nologo", "/MACHINE:X64", "/OUT:{}".format(output_lib.path)]
    for lib in libs:
        params.append(lib.path)
    ctx.actions.write(
        output = params_file,
        content = "\n".join(params) + "\n",
    )

    ctx.actions.run(
        executable = cc_toolchain.ar_executable,
        arguments = ["@{}".format(params_file.path)],
        inputs = [params_file] + libs + cc_toolchain.all_files.to_list(),
        outputs = [output_lib],
        progress_message = "Creating static library {}".format(output_lib.path),
    )
    return [
        DefaultInfo(files = depset([output_lib])),
    ]

win_cc_static_library = rule(
    implementation = _win_cc_static_library_impl,
    attrs = {
        "deps": attr.label_list(),
        "_cc_toolchain": attr.label(
            default = "@bazel_tools//tools/cpp:current_cc_toolchain",
        ),
    },
    toolchains = ["@bazel_tools//tools/cpp:toolchain_type"],
)

Ändern Sie tensorflow\BUILD in Tensorflow, um es zusätzlich aufzunehmen

load(":win_cc_static_library.bzl", "win_cc_static_library")

und

win_cc_static_library(
    name = "tensorflow_cc_static.lib",
    deps = [
        "//tensorflow/c:c_api",
        "//tensorflow/c/eager:c_api",
        "//tensorflow/cc:cc_ops",
        "//tensorflow/cc:client_session",
        "//tensorflow/cc:scope",
        "//tensorflow/cc/profiler",
        "//tensorflow/core:tensorflow",
    ] + if_ngraph(["@ngraph_tf//:ngraph_tf"]),
)

Geben Sie dann die folgenden buildenv.ps1 als . .\buildenv.ps1 aus

pushd 'C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Auxiliary\Build\'    
cmd /c "vcvarsall.bat x64 & set" |
foreach {
  if ($_ -match "=") {
    $v = $_.split("="); set-item -force -path "ENV:\$($v[0])"  -value "$($v[1])"
  }
}
popd
write-host "`nVisual Studio 2019 Command Prompt variables set." -ForegroundColor Yellow

Dann eine Quelle für das Bazel-Powershell-Skript

$ENV:USE_BAZEL_VERSION="2.0.0"
$ENV:PYTHON_BIN_PATH="C:/ProgramData/Anaconda3/python.exe"
$ENV:PYTHON_LIB_PATH="C:/ProgramData/Anaconda3/"
$ENV:Path += ";C:/msys64/usr/bin"
$ENV:Path += ";C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.2/bin"
$ENV:Path += ";C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.2/extras/CUPTI/libx64"
$ENV:Path += ";C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/cudnn-10.2-windows10-x64-v7.6.5.32/cuda/bin"
$ENV:BAZEL_SH = "C:/msys64/usr/bin/bash.exe"
$ENV:CUDA_TOOLKIT_PATH="C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.2/"
$ENV:TF_CUDA_VERSION="10.2"
$ENV:CUDNN_INSTALL_PATH="C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/cudnn-10.2-windows10-x64-v7.6.5.32/cuda"
$ENV:TF_CUDA_COMPUTE_CAPABILITIES="7.0"
$ENV:TF_CUDNN_VERSION="7"
$ENV:TF_NCCL_VERSION="1"
$ENV:TF_CUDA_CLANG="0"
$ENV:TF_NEED_CUDA="1"
$ENV:TF_NEED_ROCM="0"
$ENV:TF_NEED_OPENCL_SYCL="0"


$params = "configure.py",""
cmd /c "ECHO Y" | & python.exe <strong i="25">@params</strong> 
bazel.exe build --copt=-nvcc_options=disable-warnings --test_tag_filters=-no_oss,-gpu,-benchmark-test,-nomac,-no_mac --announce_rc --test_timeout 300,450,1200,3600 --test_size_filters=small,medium --jobs=48 //tensorflow:tensorflow_cc_static.lib

Das scheint zu bauen, dann werde ich nur dagegen verlinken und sehen, ob Symbole fehlen.

Wenn ja, füge ich *GPUOptions* zu den relevanten .lds Dateien hinzu

Nach ca. 6 Stunden die Dateien

    Compiling tensorflow/core/kernels/rnn/lstm_ops.cc; 219s local
    Compiling tensorflow/core/kernels/cwise_op_div.cc; 219s local
    Compiling tensorflow/core/kernels/cwise_op_greater.cc; 219s local
    Compiling tensorflow/core/kernels/cwise_op_select.cc; 219s local
    Compiling tensorflow/core/kernels/cwise_op_squared_difference.cc; 219s local
    Compiling tensorflow/core/kernels/cwise_op_sub.cc; 219s local
    Compiling tensorflow/core/kernels/cwise_op_less.cc; 219s local
    Compiling tensorflow/core/kernels/cwise_op_less_equal.cc; 219s local ...

Wurden nicht kompiliert, also entfernte ich die .obj-Dateien und begann erneut zu denken, dass es sich um einen Fehler im Dateisystem handelte und sie schnell erstellt würden.

Ich denke, ich kann die Maschine über Nacht anlassen und sehen, was passiert.

Fast zwei Stunden später blockieren die 48-Kern-Maschine und drei Ziele weitere zwei nachgeschaltete Ziele.

    Compiling tensorflow/core/kernels/cwise_op_div.cc; 6684s local
    Compiling tensorflow/core/kernels/cwise_op_select.cc; 6684s local
    Compiling tensorflow/core/kernels/cwise_op_sub.cc; 6684s local

Das sieht so aus : https://github.com/tensorflow/tensorflow/issues/10521
Haben Sie build --define=override_eigen_strong_inline=true in der Datei .tf_configure.bazelrc angegeben?

Ich bin mir nicht sicher, aber das ist das Neueste

ERROR: C:/users/administrator/dev/attempt3/tensorflow/tensorflow/BUILD:1005:1: Creating static library bazel-out/x64_windows-opt/bin/tensorflow/tensorflow_cc_static.lib.lib failed (Exit 1248)
bazel-out/x64_windows-opt/bin/tensorflow/tensorflow_cc_static.lib.lib : fatal error LNK1248: image size (10155DB87) exceeds maximum allowable size (FFFFFFFF)
Target //tensorflow:tensorflow_cc_static.lib failed to build
INFO: Elapsed time: 19915.148s, Critical Path: 19913.97s
INFO: 11 processes: 11 local.
FAILED: Build did NOT complete successfully

Die statische Bibliothek ist ZU groß, also wohin von hier aus?

Es ist seltsam, dass die Gesamtgröße der statischen Bibliothek die 2-GB-Grenze überschreitet, während die DLL nur zehn MB groß ist?
Können Sie bazel-out/x64_windows-opt/bin/tensorflow/tensorflow_cc_static.lib.params überprüfen, um zu sehen, welche Bibliotheken es zu verknüpfen versucht? Vielleicht können wir zuerst die Regel hacken, um einige unerwünschte Abhängigkeiten herauszufiltern.

Es könnte auch daran liegen, dass --define=override_eigen_strong_inline=true nicht als Build-Option vorhanden ist, was dazu führen kann, dass die obj-Datei sehr groß wird.
Können Sie versuchen, mit --define=override_eigen_strong_inline=true neu aufzubauen?

Das kann ich gleich ausprobieren, ich war erst spät in der Nacht, als ich nachgesehen habe, also habe ich, um Ressourcen zu sparen, die große Cloud-Instanz über Nacht heruntergefahren.

Danke für deinen Rat @meteorcloudy , du warst super hilfreich. Das Bazel-Makro hat mit der Inline-Option, wir sollten wieder im Spiel sein, einen Charme

OK Wiederholung der Schritte von https://github.com/tensorflow/tensorflow/issues/39439#issuecomment -644408408 außer with

--define=override_eigen_strong_inline=true

OK Wiederholung der Schritte ab #39439 (Kommentar) außer mit

--define=override_eigen_strong_inline=true

das scheint behoben zu sein, es baut sich jetzt viel schneller auf, hoffentlich wird die Dateigröße auch kleiner.

Es endete gerade abrupt mit der folgenden Meldung

ERROR: C:/users/administrator/dev/attempt4/tensorflow/tensorflow/core/kernels/BUILD:3866:1: undeclared inclusion(s) in rule '//tensorflow/core/kernels:roll_op_gpu':
this rule is missing dependency declarations for the following files included by 'tensorflow/core/kernels/roll_op_gpu.cu.cc':
  'C:/Users/Administrator/AppData/Local/Temp/2/nvcc_inter_files_tmp_dir/tmpk43bfc1w/roll_op_gpu.cu.cudafe1.stub.c'
  'C:/Users/Administrator/AppData/Local/Temp/2/nvcc_inter_files_tmp_dir/tmpk43bfc1w/roll_op_gpu.cu.fatbin.c'
Target //tensorflow:tensorflow_cc_static failed to build
INFO: Elapsed time: 932.630s, Critical Path: 200.13s
INFO: 4640 processes: 4640 local.
FAILED: Build did NOT complete successfully

Ich bin nicht überrascht, dass die statische Bibliothek so groß ist. Beim Erstellen einer dynamischen Bibliothek oder einer ausführbaren Datei kann der letzte Verknüpfungsschritt eine Menge Dinge aussparen. Was passiert, wenn Sie die resultierende statische Bibliothek in Ihren endgültigen Linker einspeisen und eine kleinere Binärdatei erstellen?

Über diesen Fehler bin ich mir nicht sicher, da die beanstandeten Dateien keine Header sind.

Ich wiederhole es mit einem frischen Klon und schaue, ob es wiederholbar ist.

Ich hatte ein Problem mit dem anfänglichen Git-Klon, er blieb hängen und ich startete ihn erneut, ohne alle Dateien zu löschen, vielleicht waren einige beschädigte Dateien.

gleiches Problem

aber mit der Inline-Option viel schneller geliefert.

ERROR: C:/users/administrator/dev/attempt6/tensorflow/tensorflow/BUILD:974:1: Creating static library bazel-out/x64_windows-opt/bin/tensorflow/tensorflow_cc_static.lib failed (Exit 1248)
bazel-out/x64_windows-opt/bin/tensorflow/tensorflow_cc_static.lib : fatal error LNK1248: image size (100BBED71) exceeds maximum allowable size (FFFFFFFF)
Target //tensorflow:tensorflow_cc_static failed to build
INFO: Elapsed time: 1733.736s, Critical Path: 339.51s
INFO: 6745 processes: 6745 local.
FAILED: Build did NOT complete successfully

Als listiger Teufel wird mich das nicht aufhalten

Ich habe dieses C:\Users\Administrator\dev\attempt6\tensorflow\bazel-out\x64_windows-opt\bin\tensorflow\tensorflow_cc_static.params

/nologo
/MACHINE:X64
/OUT:bazel-out/x64_windows-opt/bin/tensorflow/tensorflow_cc_static.lib
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/numeric/libint128.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/base/libspinlock_wait.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/base/libdynamic_annotations.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/base/libbase.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/base/libthrow_delegate.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/strings/libinternal.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/strings/libstrings.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/types/libbad_optional_access.a
bazel-out/x64_windows-opt/bin/external/com_google_protobuf/libprotobuf_lite.a
bazel-out/x64_windows-opt/bin/external/com_google_protobuf/libprotobuf.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/protobuf/libxplane_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/util/libtest_log_proto_impl_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/util/libmemmapped_file_system_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libversions_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libtypes_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libtensor_slice_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libtensor_shape_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libresource_handle_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libtensor_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/util/libsaved_tensor_slice_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libsummary_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/util/libevent_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/liberror_codes_proto_impl_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/lib/core/liberror_codes_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libvariable_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/liballocation_description_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libtensor_description_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libstep_stats_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libattr_value_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libop_def_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libnode_def_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libfunction_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libgraph_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libremote_fused_graph_execute_info_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libreader_base_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/liblog_memory_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libkernel_def_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libgraph_transfer_info_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libdevice_attributes_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libcost_graph_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libapi_def_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/example/libexample_parser_configuration_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/example/libexample_protos_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/libcore_protos_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/grappler/costs/libop_performance_data_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/stream_executor/libdnn_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/libconv_autotuning_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/libautotuning_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/external/double_conversion/libdouble-conversion.a
bazel-out/x64_windows-opt/bin/external/zlib/libzlib.a
bazel-out/x64_windows-opt/bin/external/snappy/libsnappy.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/windows/libenv_time.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/default/liblogging.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/libstr_util.a
bazel-out/x64_windows-opt/bin/external/nsync/libnsync_cpp.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/default/libmutex.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/libstringprintf.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/libnumbers.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/libstrcat.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/windows/libstacktrace.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/libstatus.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/time/internal/cctz/libcivil_time.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/time/internal/cctz/libtime_zone.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/time/libtime.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/libhash.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/default/libtracing.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/libsetround.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/base/libmalloc_internal.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/debugging/libdemangle_internal.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/debugging/libdebugging_internal.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/debugging/libsymbolize.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/debugging/libstacktrace.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/synchronization/libgraphcycles_internal.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/synchronization/libsynchronization.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/container/libhashtablez_sampler.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/container/libraw_hash_set.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/types/libbad_variant_access.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/hash/libcity.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/hash/libhash.a
bazel-out/x64_windows-opt/bin/external/com_googlesource_code_re2/libre2.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/libprotobuf.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/windows/libplatform_port.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/libscanner.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/libpath.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/windows/libwide_char.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/windows/libload_library.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/liberror.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/libdenormal.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/windows/liberror_windows.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/windows/libenv.a
bazel-out/x64_windows-opt/bin/tensorflow/core/util/libreporter.a
bazel-out/x64_windows-opt/bin/tensorflow/core/util/libenv_var.a
bazel-out/x64_windows-opt/bin/external/highwayhash/libarch_specific.a
bazel-out/x64_windows-opt/bin/external/highwayhash/libsip_hash.a
bazel-out/x64_windows-opt/bin/external/fft2d/libfft2d.a
bazel-out/x64_windows-opt/bin/external/farmhash_archive/libfarmhash.a
bazel-out/x64_windows-opt/bin/external/libjpeg_turbo/libsimd_win_x86_64.a
bazel-out/x64_windows-opt/bin/external/libjpeg_turbo/libjpeg.a
bazel-out/x64_windows-opt/bin/external/gif/libgif.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/default/libunbounded_work_queue.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/libcoding.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/libtensor_coding.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/windows/libsubprocess.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/windows/libstacktrace_handler.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/default/libresource.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/libplatform_strings.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/windows/libnet.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/liblogger.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/libcpu_feature_guard.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/libbase64.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/libabi.a
bazel-out/x64_windows-opt/bin/tensorflow/core/lib/strings/libproto_text_util.a
bazel-out/x64_windows-opt/bin/tensorflow/core/lib/strings/libproto_serialization.a
bazel-out/x64_windows-opt/bin/tensorflow/core/lib/strings/libordered_code.a
bazel-out/x64_windows-opt/bin/tensorflow/core/lib/bfloat16/libbfloat16.a
bazel-out/x64_windows-opt/bin/tensorflow/core/lib/random/libphilox.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/lib/random/libweighted_picker.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/librandom.a
bazel-out/x64_windows-opt/bin/tensorflow/core/lib/histogram/libhistogram.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/lib/monitoring/libcollection_registry.a
bazel-out/x64_windows-opt/bin/tensorflow/core/lib/monitoring/libsampler.a
bazel-out/x64_windows-opt/bin/tensorflow/core/lib/monitoring/libpercentile_sampler.a
bazel-out/x64_windows-opt/bin/tensorflow/core/lib/io/libzlib_compression_options.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/lib/io/libzlib_outputbuffer.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/lib/io/libinputstream_interface.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/lib/io/libzlib_inputstream.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/lib/io/libiterator.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/lib/io/libcache.a
bazel-out/x64_windows-opt/bin/tensorflow/core/lib/hash/libcrc32c.a
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libword2vec_kernels.lo
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bazel-out/x64_windows-opt/bin/external/icu/libicuuc.a
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libstring_util.a
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libunicode_script_op.lo
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libsparse_softmax.lo
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libsdca_internal.a
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libscoped_allocator_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/util/rpc/librpc_factory.a
bazel-out/x64_windows-opt/bin/tensorflow/core/util/rpc/librpc_factory_registry.a
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/rnn/libblas_gemm.a
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/rnn/libgru_ops.lo
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/librandom_binomial_op.lo
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libbroadcast_to_op.lo
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libragged_range_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libragged_gather_op.lo
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libstring_to_number_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libparse_tensor_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libexample_parsing_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libdecode_raw_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libdecode_padded_raw_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libdecode_csv_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libdecode_compressed_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libparameterized_truncated_normal_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libparameterized_truncated_normal_op.lo
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libxent_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libtopk_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libtopk_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libsoftsign_op_gpu.lo
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libsoftplus_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libsoftmax_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libsoftmax_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/librelu_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/librelu_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libnth_element_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/liblrn_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libl2loss_op_gpu.lo
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libin_topk_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libin_topk_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libfused_batch_norm_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libfused_batch_norm_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libdilation_ops_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libdilation_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libdepthwise_conv_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libdepthwise_conv_op.lo
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libbias_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libbias_op.lo
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libbatch_norm_op.lo
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/special_math/libspecial_math_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/special_math/libspecial_math_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libsequence_ops.lo
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libsegment_reduction_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libscan_ops_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libscan_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libpopulation_count_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libpopulation_count_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libnextafter_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libnextafter_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libmatmul_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libhistogram_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libhistogram_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libfft_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libcross_op_gpu.lo
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libcompare_and_bitpack_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libcompare_and_bitpack_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libcheck_numerics_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libcheck_numerics_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libcast_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libcast_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libbucketize_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libbucketize_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libbincount_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libbincount_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libbetainc_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libbetainc_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libbatch_matmul_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libargmax_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libargmax_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libroll_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libroll_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libsummary_tensor_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libsummary_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libsummary_image_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libsummary_audio_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/liblogging_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/liblookup_table_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/liblookup_table_init_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/liblinalg_ops_common.a
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libtridiagonal_solve_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libtridiagonal_matmul_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libtridiagonal_matmul_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libsvd_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libsvd_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libself_adjoint_eig_v2_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libself_adjoint_eig_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libmatrix_band_part_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libmatrix_band_part_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libeye_functor_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libqr_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libmatrix_triangular_solve_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libmatrix_square_root_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libmatrix_solve_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libmatrix_solve_ls_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libmatrix_logarithm_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libmatrix_inverse_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libmatrix_exponential_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/liblu_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/liblu_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libeinsum_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libeinsum_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libeig_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libdeterminant_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libdeterminant_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libcholesky_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libcholesky_grad.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libreader_base.a
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libwhole_file_read_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libtf_record_reader_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libtext_line_reader_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libsave_restore_tensor.a
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libsave_restore_v2_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libsave_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/librestore_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libreader_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libmatching_files_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/liblmdb_reader_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libidentity_reader_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libfixed_length_record_reader_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libsampling_kernels.a
bazel-out/x64_windows-opt/bin/tensorflow/core/libjpeg_internal.a
bazel-out/x64_windows-opt/bin/tensorflow/core/libgif_internal.a
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libscale_and_translate_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libsample_distorted_bounding_box_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libresize_nearest_neighbor_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libresize_nearest_neighbor_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libresize_bilinear_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libresize_bilinear_op.lo
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bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_client_authority_filter.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgoogle_api_upb.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libproto_gen_validate_upb.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libenvoy_orca_upb.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_client_channel.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_transport_chttp2_client_connector.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_transport_chttp2_client_insecure.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libalts_upb.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libalts_util.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libalts_frame_protector.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libtsi.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_secure.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc++_codegen_base_src.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_transport_chttp2_server.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_transport_chttp2_server_secure.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_transport_chttp2_client_secure.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libenvoy_type_upb.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libenvoy_core_upb.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libenvoy_ads_upb.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_xds_client_secure.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_resolver_xds_secure.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_lb_policy_xds_secure.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_resolver_fake.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_lb_upb.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_lb_policy_grpclb_secure.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_lb_policy_cds_secure.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_server_backward_compatibility.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_workaround_cronet_compression_filter.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_transport_inproc.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_transport_chttp2_server_insecure.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_resolver_sockaddr.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_resolver_dns_selection.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_resolver_dns_native.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/third_party/address_sorting/libaddress_sorting.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_resolver_dns_ares.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_message_size_filter.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_max_age_filter.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_client_idle_filter.a
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bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_lb_policy_pick_first.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libcensus.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc++_base.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc++.a
bazel-out/x64_windows-opt/bin/tensorflow/core/libeager_service_proto_cc_impl.lo
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bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/libprotos_all_cc_impl.lo
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libdebug_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/debug/libdebug_graph_utils.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/debug/libdebugger_state_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/debug/libdebug.lo
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bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libbase_rendezvous_mgr.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/librpc_rendezvous_mgr.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/utils/libxplane_visitor.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/utils/libxplane_schema.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/utils/libxplane_builder.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/utils/libxplane_utils.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/utils/libgroup_events.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/utils/libtf_op_utils.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/utils/libderived_timeline.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/convert/libxplane_to_trace_events.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libprofiler_factory_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/lib/libprofiler_utils.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/lib/libprofiler_session_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libsession_mgr.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/librecent_request_ids.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libpartial_run_mgr.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libworker.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/libgrpc_util.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/libgrpc_worker_service_impl.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/libgrpc_tensor_coding.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/libgrpc_response_cache.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/libgrpc_worker_service.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/libgrpc_state.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/libgrpc_channel.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/eager/libgrpc_eager_client.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libworker_cache_partial.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libworker_cache_logger.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/libgrpc_remote_worker.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/libgrpc_worker_cache.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libdevice_resolver_distributed.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libcollective_rma_distributed.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libcollective_param_resolver_distributed.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/librpc_collective_executor_mgr.a
bazel-out/x64_windows-opt/bin/tensorflow/core/common_runtime/eager/libprocess_function_library_runtime.a
bazel-out/x64_windows-opt/bin/tensorflow/core/common_runtime/eager/libattr_builder.a
bazel-out/x64_windows-opt/bin/tensorflow/core/common_runtime/eager/libkernel_and_device.a
bazel-out/x64_windows-opt/bin/tensorflow/core/common_runtime/eager/libeager_executor.a
bazel-out/x64_windows-opt/bin/tensorflow/core/common_runtime/eager/libcontext.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/eager/libremote_tensor_handle_data.a
bazel-out/x64_windows-opt/bin/tensorflow/core/common_runtime/eager/libtensor_handle_data.a
bazel-out/x64_windows-opt/bin/tensorflow/core/common_runtime/eager/libtensor_handle.a
bazel-out/x64_windows-opt/bin/tensorflow/core/common_runtime/eager/libeager_operation.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/eager/libremote_mgr.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/eager/libremote_copy_node.a
bazel-out/x64_windows-opt/bin/tensorflow/core/common_runtime/eager/libshape_inference.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/eager/libremote_execute_node.a
bazel-out/x64_windows-opt/bin/tensorflow/core/common_runtime/eager/libeager_op_rewrite_registry.a
bazel-out/x64_windows-opt/bin/tensorflow/core/common_runtime/eager/libexecute.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/eager/libcluster_function_library_runtime.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/eager/libeager_service_impl.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/eager/libgrpc_eager_service_impl.a
bazel-out/x64_windows-opt/bin/tensorflow/core/example/libexample_parser_configuration.lo
bazel-out/x64_windows-opt/bin/tensorflow/stream_executor/cuda/libcupti_stub.a
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bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/gpu/libcupti_utils.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/gpu/libcupti_tracer.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libparse_annotation.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/gpu/libdevice_tracer.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/cpu/libhost_tracer_utils.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/cpu/libhost_tracer.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/libdirect_session_internal.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libscheduler.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libmaster_session.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libmaster.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/liblocal_master.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/libgrpc_master_service_impl.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/libgrpc_master_service.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/libgrpc_server_lib.lo
bazel-out/x64_windows-opt/bin/tensorflow/c/eager/libc_api.lo
bazel-out/x64_windows-opt/bin/tensorflow/cc/libclient_session.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/libtfprof_options.a
bazel-out/x64_windows-opt/bin/tensorflow/c/libcheckpoint_reader.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_utils.a
bazel-out/x64_windows-opt/bin/external/jsoncpp_git/libjsoncpp.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_node.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_node_show.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_timeline.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_tensor.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_show.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_scope.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_show_multi.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_op.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_graph.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_code.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_stats.a
bazel-out/x64_windows-opt/bin/tensorflow/cc/profiler/libprofiler.a

Womit ich meinen Treiber verknüpfen kann.

Wünsch mir Glück!

OK, also ist es BEHOBEN YAYAYAAYA!

hier ist die ausgabe

visible_device_list 0
allocator_type 7
visible_device_list 0
allocator_type 7
visible_device_list 5
allocator_type 3
visible_device_list 5

C:\Users\Administrator\source\repos\TFDriver\x64\Release\TFDriver.exe (process 14016) exited with code 0.
To automatically close the console when debugging stops, enable Tools->Options->Debugging->Automatically close the console when debugging stops.
Press any key to close this window . . .

Die Datei TFDriver.cpp

```#include "tensorflow/core/protobuf/control_flow.pb.h"

"tensorflow/core/protobuf/config.pb.h" einschließen

enthalten

int Haupt() {
tensorflow::GPUOptions gpu_options;

gpu_options.set_visible_device_list("0");

std::cout << "allocator_type " << gpu_options.allocator_type() << std::endl;
std::cout << "visible_device_list " << gpu_options.visible_device_list() << std::endl;

gpu_options.set_allocator_type("7");

std::cout << "allocator_type " << gpu_options.allocator_type() << std::endl;
std::cout << "visible_device_list " << gpu_options.visible_device_list() << std::endl;


gpu_options.set_visible_device_list("5");

std::cout << "allocator_type " << gpu_options.allocator_type() << std::endl;
std::cout << "visible_device_list " << gpu_options.visible_device_list() << std::endl;

gpu_options.set_allocator_type("3");

std::cout << "allocator_type " << gpu_options.allocator_type() << std::endl;
std::cout << "visible_device_list " << gpu_options.visible_device_list() << std::endl;

}

Here is the Visual Studio .xml

Debuggen
Win32


Freisetzung
Win32


Debuggen
x64


Freisetzung
x64



16.0
Win32Proj
{d4eaaa20-e3d3-46ee-b1e9-08ab9200c828}
TFDriver
10.0



Anwendung
wahr
v142
Unicode


Anwendung
falsch
v142
wahr
Unicode


Anwendung
wahr
v142
Unicode


Anwendung
falsch
v142
wahr
Unicode




















wahr


falsch


wahr


falsch



Stufe 3
wahr
WIN32;_DEBUG;_CONSOLE;%(Präprozessor-Definitionen)
wahr


Konsole
wahr




Stufe 3
wahr
wahr
wahr
WIN32;NDEBUG;_CONSOLE;%(PreprocessorDefinitions)
wahr


Konsole
wahr
wahr
wahr




Stufe 3
wahr
_DEBUG;_CONSOLE;%(Präprozessor-Definitionen)
wahr


Konsole
wahr




Stufe 3
wahr
wahr
wahr
NDEBUG;_CONSOLE;%(Präprozessor-Definitionen)
wahr
C:\Benutzer\Administrator\dev\attempt6\tensorflow\bazel-bin\tensorflow;C:\Benutzer\Administrator\dev\attempt6\tensorflow\bazel-bin;C:\Benutzer\Administrator\dev\attempt6\tensorflow\bazel -tensorflow\external\com_google_protobuf\src;C:\Users\Administrator\dev\attempt6\tensorflow;%(AdditionalIncludeDirectories)


Konsole
wahr
wahr
wahr
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;%(zusätzliche Abhängigkeiten)


C:\Users\Administrator\dev\attempt6\tensorflow\bazel-out\x64_windows-opt\bin;%(AdditionalLibraryDirectories)












```

Für das Protokoll ist die Datei 1,3 MB groß.

Vielen Dank für Ihre Unterstützung, dies war ein schwieriges Problem. Jetzt muss ich in Betracht ziehen, gegen MSVC 2017 mit CUDA 9.2.1.148 mit dem zugehörigen CUDNN zu bauen. Ich werde ein neues Ticket eröffnen, wenn sich das als problematisch herausstellt.

Ich werde ein Experiment mit einer alten Version von Tensorflow und MSVC 2015 versuchen, um zu sehen, ob der Bazel-Fix noch funktioniert.

CcInfo ist bazel 0.19.2 nicht bekannt

@meteorcloudy
Wissen Sie, welche Version von Bazel diese Funktion einführt und trotzdem tensorflow r1.12 kompiliert?

Ich kann r1.12 nicht mehr mit Ihrer Lösung verwenden. Dieses Problem muss ich mir einen neuen Plan ausdenken, der die Verwendung von MSVC 2017 und r2.2 beinhaltet, denke ich.

Tut mir leid, dass ich deine Zeit verschwende.

sehen:
https://github.com/tensorflow/tensorflow/issues/24385

@samhodge Freut mich , dass es geholfen hat!
Wenn Ihnen die Liste der statischen Bibliotheken zum Erstellen der DLL geholfen hat, das Problem zu beheben, können Sie die Liste auch aus der Parameterdatei der DLL abrufen, sodass Sie die Regel cc_static_library überhaupt nicht benötigen.

@samhodge Freut mich , dass es geholfen hat!
Wenn Ihnen die Liste der statischen Bibliotheken zum Erstellen der DLL geholfen hat, das Problem zu beheben, können Sie die Liste auch aus der Parameterdatei der DLL abrufen, sodass Sie die Regel cc_static_library überhaupt nicht benötigen.

Das könnte ein guter Gedanke sein, wird dafür noch CcInfo benötigt?

Das könnte ein guter Gedanke sein, wird dafür noch CcInfo benötigt?

Nein, die Parameterdatei wird durch eine native cc-Regel in Bazel generiert (in Java-Code geschrieben).

Ausgezeichnet, also sind die .lib- und .a- und .lo- und .obj-Dateien als Eingaben für die .dll für die statische Verknüpfung in Ordnung. Wird es sich um einen positionsunabhängigen Code handeln?

Glauben Sie, dass die Reihenfolge in der .params-Datei kritisch ist?

Ausgezeichnet, also sind die .lib- und .a- und .lo- und .obj-Dateien als Eingaben für die .dll für die statische Verknüpfung in Ordnung. Wird es sich um einen positionsunabhängigen Code handeln?

Ich glaube schon

Glauben Sie, dass die Reihenfolge in der .params-Datei kritisch ist?

Nicht sicher, aber ich würde versuchen, die Ordnung der Bibliotheken zu bewahren.

Ich werde dies mit den r1.12-Artefakten versuchen, die ich bereits habe, und sehen, ob es wie erwartet funktioniert.

Hier ist die .params -Datei, mit der ich arbeite

libtensorflow_cc.so-2.params

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/DEFAULTLIB:msvcrt.lib

@Artem-B für den Fall, dass er irgendwelche Ideen zum ursprünglichen Problem hat, das sich mit statisch verknüpfter Binärdatei zu wiederholen scheint.

Ich arbeite immer noch mit den r1.12-Artefakten als Linkziele für meine Binärdatei. Allein der Umgang mit den Suchpfaden und der Anzahl der Linkziele bedeutet, dass es viele Möglichkeiten zum Scheitern gibt, von denen ich bisher viele entdeckt habe. Wenn ich die erfolgreiche Permutation finde, werde ich Sie wissen lassen.

warten Sie, die Protobuf-Felder scheinen in der statisch verknüpften Bibliothek vernünftig zu funktionieren, richtig? Ich habe die von Ihnen geposteten Ausgaben falsch gelesen.

Ich habe auch eine Antwort vom Protobuf-Team erhalten. Sie vermuten, dass das Verhalten durch doppelte Verlinkung verursacht werden kann:

Um herauszufinden, ob ein standardmäßig leeres String-Feld gesetzt ist oder nicht, prüfen wir, ob die Adresse des Strings mit der Adresse eines leeren Singleton-Strings übereinstimmt. Ich denke, Sie können Probleme bekommen, wenn die Protobuf-Laufzeit in mehreren gemeinsam genutzten Bibliotheken dupliziert wird, da dann mehrere Kopien dieser leeren "Singleton" -Zeichenfolge vorhanden sind und wir nicht zuverlässig feststellen können, ob ein Zeichenfolgenfeld festgelegt ist oder nicht.

Es sieht also so aus, als könnte das zweimalige Verknüpfen von Protobuf diesen Fehler verursachen. sieht so aus, als ob statische Verknüpfungen das Problem beheben können.
Für TF ist das Problem beim Anbieten einer Bibliothek zum statischen Linken jedoch die Größe der Binärdatei. Aber es sieht so aus, als hätten Sie eine Lösung "zusammenhacken" können.

warten Sie, die Protobuf-Felder scheinen in der statisch verknüpften Bibliothek vernünftig zu funktionieren, richtig? Ich habe die von Ihnen geposteten Ausgaben falsch gelesen.

Ja, und ich hatte Beweise für dieses Verhalten bei meinen MacOS- und Linux-Builds meiner Software, die bereits statisch verknüpft sind, indem ich alle meine Symbole eingefügt und in einem Symbol-Smoothy neu archiviert habe. Verwenden ar wie hier erwähnt:

https://github.com/tensorflow/tensorflow/issues/28388#issuecomment -578539242

Aber ar existiert nicht unter Windows 10 und die Verwendung link.exe ist wegen Rechenaufwand fehlgeschlagen.

Nachdem ich also gesehen habe, wie bazel mit .param -Dateien funktioniert, kann ich sehen, welche .a .lo .lib -Dateien statisch unter MSVC 2015 gelinkt werden müssen libprotobuf.lib und libprotobuf.dll nicht in die Symbole laufen, die bereits in tensorflow_cc.lib und tensorflow_cc.dll vorhanden sind, und das ist was verursacht das auf diesem Ticket gemeldete Verhalten.

Ich habe nur noch 36 fehlende Symbole, sobald diese Zahl Null ist, kann ich testen.

Ich habe vergessen, dass ich auch eine Abhängigkeit vom Framework habe, vielleicht sind das die fehlenden Symbole

Ich glaube, ich brauche statisches Linken etwas mehr "out of the box"

meine gehackte Lösung ohne Verknüpfung mit Protokollpuffern ( protobuf_archive ) 3.6.0 auf Tensorflow r1.12

lässt mich mit den folgenden fehlenden Symbolen zurück

Ohne darauf zu wetten, stammen diese alle aus .proto -Dateien

  example.obj : error LNK2019: unresolved external symbol "void __cdecl tensorflow::port::InitMain(char const *,int *,c
har * * *)"
  example.obj : error LNK2019: unresolved external symbol "__declspec(dllimport) public: void * __cdecl google::protobu
f::internal::ArenaImpl::AllocateAligned(unsigned __int64)"
  example.obj : error LNK2019: unresolved external symbol "__declspec(dllimport) public: void __cdecl google::protobuf:
:internal::ArenaImpl::AddCleanup(void *,void (__cdecl*)(void *))" 
  example.obj : error LNK2019: unresolved external symbol "__declspec(dllimport) private: void __cdecl google::protobuf
::Arena::OnArenaAllocation(class type_info const *,unsigned __int64)const " 
  example.obj : error LNK2019: unresolved external symbol "__declspec(dllimport) public: void __cdecl google::protobuf:
:internal::ArenaStringPtr::Set(class std::basic_string<char,struct std::char_traits<char>,class std::allocator<char> >const *,class std::basic_string<char,struct std::char_traits<char>,class std::allocator<char> > const &,class google::protobuf::Arena *)"
  example.obj : error LNK2019: unresolved external symbol "__declspec(dllimport) class std::basic_string<char,struct std::char_traits<char>,class std::allocator<char> > const & __cdecl google::protobuf::internal::GetEmptyStringAlreadyInit
ed(void)" 
  example.obj : error LNK2019: unresolved external symbol "__declspec(dllimport) public: bool __cdecl google::protobuf:
:MessageLite::ParseFromArray(void const *,int)" 
  example.obj : error LNK2019: unresolved external symbol "public: __cdecl tensorflow::GraphDef::GraphDef(void)" (??0GraphDef@tensorflow@@QEAA@XZ) 
  example.obj : error LNK2019: unresolved external symbol "public: virtual __cdecl tensorflow::GraphDef::~GraphDef(void)" (??1GraphDef@tensorflow@@UEAA@XZ) 
  example.obj : error LNK2019: unresolved external symbol "public: __cdecl tensorflow::internal::LogMessageFatal::LogMe
ssageFatal(char const *,int)" 
  example.obj : error LNK2019: unresolved external symbol "public: __cdecl tensorflow::internal::CheckOpMessageBuilder:
:~CheckOpMessageBuilder(void)" 
  example.obj : error LNK2019: unresolved external symbol "public: class std::basic_ostream<char,struct std::char_trait
s<char> > * __cdecl tensorflow::internal::CheckOpMessageBuilder::ForVar2(void)" (?ForVar2@CheckOpMessageBuilder<strong i="13">@interna</strong>
l@tensorflow@@QEAAPEAV?$basic_ostream@DU?$char_traits@D@std@@@std@@XZ) referenced in function "class std::basic_string<
char,struct std::char_traits<char>,class std::allocator<char> > * __cdecl tensorflow::internal::MakeCheckOpString<__int
64,__int64>(__int64 const &,__int64 const &,char const *)"
  example.obj : error LNK2019: unresolved external symbol "public: class std::basic_string<char,struct std::char_traits
<char>,class std::allocator<char> > * __cdecl tensorflow::internal::CheckOpMessageBuilder::NewString(void)" (?NewString
@CheckOpMessageBuilder@internal@tensorflow@@QEAAPEAV?$basic_string@DU?$char_traits@D@std@@V?$allocator@D@2@@std@@XZ) re
ferenced in function "class std::basic_string<char,struct std::char_traits<char>,class std::allocator<char> > * __cdecl
 tensorflow::internal::MakeCheckOpString<__int64,__int64>(__int64 const &,__int64 const &,char const *)" 
  example.obj : error LNK2019: unresolved external symbol "unsigned __int64 __cdecl tensorflow::strings::FastUInt64ToBu
fferLeft(unsigned __int64,char *)" 
  example.obj : error LNK2019: unresolved external symbol "class std::basic_string<char,struct std::char_traits<char>,c
lass std::allocator<char> > __cdecl tensorflow::strings::StrCat(class tensorflow::strings::AlphaNum const &)" 
  example.obj : error LNK2019: unresolved external symbol "class std::basic_string<char,struct std::char_traits<char>,c
lass std::allocator<char> > __cdecl tensorflow::strings::StrCat(class tensorflow::strings::AlphaNum const &,class tenso
rflow::strings::AlphaNum const &)" 
  example.obj : error LNK2019: unresolved external symbol "public: __cdecl tensorflow::Status::Status(enum tensorflow::
error::Code,class absl::string_view)" 
  example.obj : error LNK2019: unresolved external symbol "private: static class std::basic_string<char,struct std::cha
r_traits<char>,class std::allocator<char> > const & __cdecl tensorflow::Status::empty_string(void)" 

  example.obj : error LNK2019: unresolved external symbol "public: class std::basic_string<char,struct std::char_traits
<char>,class std::allocator<char> > __cdecl tensorflow::TensorShapeRep::DebugString(void)const " 
  example.obj : error LNK2019: unresolved external symbol "private: void __cdecl tensorflow::TensorShapeRep::Destructor
OutOfLine(void)" (?DestructorOutOfLine@TensorShapeRep@tensorflow@@AEAAXXZ) referenced in function "public: __cdecl tens
orflow::TensorShape::~TensorShape(void)" 
  example.obj : error LNK2019: unresolved external symbol "private: void __cdecl tensorflow::TensorShapeRep::SlowCopyFr
om(class tensorflow::TensorShapeRep const &)" 
  example.obj : error LNK2019: unresolved external symbol "public: __cdecl tensorflow::TensorShapeBase<class tensorflow
::TensorShape>::TensorShapeBase<class tensorflow::TensorShape>(class absl::Span<__int64 const >)" 
  example.obj : error LNK2019: unresolved external symbol "private: void __cdecl tensorflow::TensorShape::CheckDimsEqual(int)const " 
  example.obj : error LNK2019: unresolved external symbol "private: void __cdecl tensorflow::TensorShape::CheckDimsAtLeast(int)const " 
  example.obj : error LNK2019: unresolved external symbol "public: __cdecl tensorflow::Tensor::Tensor(enum tensorflow::
DataType,class tensorflow::TensorShape const &)"
  example.obj : error LNK2019: unresolved external symbol "public: __cdecl tensorflow::Tensor::~Tensor(void)" 
  example.obj : error LNK2019: unresolved external symbol "private: void __cdecl tensorflow::Tensor::CheckTypeAndIsAligned(enum tensorflow::DataType)const " 
  example.obj : error LNK2019: unresolved external symbol "private: static class tensorflow::GPUOptions * __cdecl google::protobuf::Arena::CreateMaybeMessage<class tensorflow::GPUOptions>(class google::protobuf::Arena *)"
  example.obj : error LNK2019: unresolved external symbol "public: virtual __cdecl tensorflow::ConfigProto::~ConfigProto(void)"
  example.obj : error LNK2001: unresolved external symbol "public: void __cdecl tensorflow::ConfigProto::CopyFrom(class tensorflow::ConfigProto const &)"
  example.obj : error LNK2001: unresolved external symbol "private: void __cdecl tensorflow::ConfigProto::InternalSwap(class tensorflow::ConfigProto *)"
  example.obj : error LNK2019: unresolved external symbol "__declspec(dllimport) public: __cdecl tensorflow::SessionOptions::SessionOptions(void)"
  example.obj : error LNK2019: unresolved external symbol "class tensorflow::Session * __cdecl tensorflow::NewSession(struct tensorflow::SessionOptions const &)"
  example.obj : error LNK2001: unresolved external symbol "const tensorflow::ConfigProto::`vftable'"

Hier ist eine Liste meiner Bibliotheken

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ll_functor_gpu.lo;/WHOLEARCHIVE:core/kernels/libscatter_functor.lo;/WHOLEARCHIVE:core/kernels/libscatter_functor_gpu.lo;/WHOLEARCHIVE:core/kernels/libdense_update_functor.a;/WHOLEARCHIVE:core/kernels/libdense_update_functor_gpu.lo;/WHOLEARCHIVE:core/libstate_ops_op_lib.lo;/WHOLEARCHIVE:core/libtraining_ops_op_lib.lo;/WHOLEARCHIVE:core/kernels/libword2vec_kernels.lo;/WHOLEARCHIVE:core/libword2vec_ops.lo;/WHOLEARCHIVE:core/grappler/optimizers/libgpu_swapping_kernels.lo;/WHOLEARCHIVE:core/grappler/optimizers/libgpu_swapping_ops.lo;/WHOLEARCHIVE:core/libdirect_session_internal.lo;/WHOLEARCHIVE:core/libdevice_tracer.a;/WHOLEARCHIVE:core/platform/default/gpu/libcupti_wrapper.a;/WHOLEARCHIVE:core/debug/libdebug_graph_utils.lo;/WHOLEARCHIVE:core/kernels/libfunction_ops.lo;/WHOLEARCHIVE:core/libexample_parser_configuration.lo;/WHOLEARCHIVE:core/libcore_cpu_internal.lo;/WHOLEARCHIVE:core/grappler/optimizers/libmeta_optimizer.a;/WHOLEARCHIVE:core/grappler/optimizers/libarithmetic_optimizer.a;/WHOLEARCHIVE:core/grappler/optimizers/libgraph_optimizer_stage.a;/WHOLEARCHIVE:core/grappler/optimizers/libauto_parallel.a;/WHOLEARCHIVE:core/grappler/optimizers/libdebug_stripper.a;/WHOLEARCHIVE:core/grappler/optimizers/libdependency_optimizer.a;/WHOLEARCHIVE:core/grappler/optimizers/libexperimental_implementation_selector.a;/WHOLEARCHIVE:core/grappler/optimizers/libcustom_graph_optimizer_registry_impl.a;/WHOLEARCHIVE:core/grappler/optimizers/libfunction_api_info.a;/WHOLEARCHIVE:core/grappler/optimizers/libfunction_optimizer.a;"

$ENV:TFLIBS3="/WHOLEARCHIVE:core/grappler/optimizers/liblayout_optimizer.a;/WHOLEARCHIVE:core/grappler/optimizers/libloop_optimizer.a;/WHOLEARCHIVE:core/grappler/optimizers/libmemory_optimizer.a;/WHOLEARCHIVE:core/grappler/optimizers/libstatic_schedule.a;/WHOLEARCHIVE:core/grappler/costs/libgraph_memory.a;/WHOLEARCHIVE:core/grappler/clusters/libvirtual_cluster.a;/WHOLEARCHIVE:core/grappler/costs/libop_level_cost_estimator.a;/WHOLEARCHIVE:core/grappler/costs/libvirtual_scheduler.a;/WHOLEARCHIVE:core/grappler/costs/libvirtual_placer.a;/WHOLEARCHIVE:core/grappler/libdevices.a;/WHOLEARCHIVE:core/grappler/utils/libtraversal.a;/WHOLEARCHIVE:core/grappler/optimizers/libmodel_pruner.a;/WHOLEARCHIVE:core/grappler/optimizers/libgraph_rewriter.a;/WHOLEARCHIVE:core/grappler/optimizers/libpin_to_host_optimizer.a;/WHOLEARCHIVE:core/grappler/optimizers/libremapper.a;/WHOLEARCHIVE:core/grappler/optimizers/libconstant_folding.a;/WHOLEARCHIVE:core/grappler/optimizers/libevaluation_utils.a;/WHOLEARCHIVE:core/grappler/optimizers/libscoped_allocator_optimizer.a;/WHOLEARCHIVE:core/grappler/optimizers/libshape_optimizer.a;/WHOLEARCHIVE:core/grappler/costs/libgraph_properties.a;/WHOLEARCHIVE:core/grappler/costs/libutils.a;/WHOLEARCHIVE:core/grappler/clusters/libutils.a;/WHOLEARCHIVE:core/grappler/libgraph_view.a;/WHOLEARCHIVE:core/grappler/clusters/libcluster.a;/WHOLEARCHIVE:core/grappler/utils/libframe.a;/WHOLEARCHIVE:core/grappler/utils/libsymbolic_shapes.a;/WHOLEARCHIVE:core/grappler/utils/libcolocation.a;/WHOLEARCHIVE:core/grappler/utils/libfunctions.a;/WHOLEARCHIVE:core/grappler/utils/libtopological_sort.a;/WHOLEARCHIVE:core/libgpu_runtime_impl.lo;/WHOLEARCHIVE:core/libcore_cpu_base.lo;/WHOLEARCHIVE:core/libfunction_ops_op_lib.lo;/WHOLEARCHIVE:core/libfunctional_grad.lo;/WHOLEARCHIVE:core/libfunctional_ops_op_lib.lo;/WHOLEARCHIVE:core/kernels/libno_op.lo;/WHOLEARCHIVE:core/kernels/libsendrecv_ops.lo;/WHOLEARCHIVE:core/libno_op_op_lib.lo;/WHOLEARCHIVE:core/libsendrecv_ops_op_lib.lo;/WHOLEARCHIVE:core/libcore_cpu_impl.lo;/WHOLEARCHIVE:core/grappler/libgrappler_item.a;/WHOLEARCHIVE:core/grappler/libop_types.a;/WHOLEARCHIVE:core/grappler/libutils.a;/WHOLEARCHIVE:core/libgpu_id_impl.a;/WHOLEARCHIVE:core/libgpu_init_impl.lo;/WHOLEARCHIVE:core/libgpu_lib.a;/WHOLEARCHIVE:core/libgraph.a;/WHOLEARCHIVE:stream_executor/libcuda_platform.lo;/WHOLEARCHIVE:stream_executor/libstream_executor_impl.lo;/WHOLEARCHIVE:core/kernels/libops_util.a;/WHOLEARCHIVE:core/libframework_internal_impl.lo;/WHOLEARCHIVE:core/libfeature_util.a;/WHOLEARCHIVE:core/libprotos_all_proto_text.a;/WHOLEARCHIVE:core/liberror_codes_proto_text.a;/WHOLEARCHIVE:core/libstats_calculator_portable.a;/WHOLEARCHIVE:core/libversion_lib.a;cublas.lib;cuda.lib;cudnn.lib;cufft.lib;curand.lib;/WHOLEARCHIVE:core/liblib_internal_impl.a;/WHOLEARCHIVE:nsync/libnsync_cpp.a;/WHOLEARCHIVE:core/liblib_hash_crc32c_accelerate_internal.a;/WHOLEARCHIVE:core/liblib_proto_parsing.a;/WHOLEARCHIVE:core/libabi.a;/WHOLEARCHIVE:core/libplatform_base.a;/WHOLEARCHIVE:gif_archive/libgif.a;/WHOLEARCHIVE:jpeg/libjpeg.a;/WHOLEARCHIVE:jpeg/libsimd_win_x86_64.a;/WHOLEARCHIVE:com_googlesource_code_re2/libre2.a;/WHOLEARCHIVE:farmhash_archive/libfarmhash.a;/WHOLEARCHIVE:fft2d/libfft2d.a;/WHOLEARCHIVE:highwayhash/libsip_hash.a;/WHOLEARCHIVE:highwayhash/libarch_specific.a;/WHOLEARCHIVE:snappy/libsnappy.a;/WHOLEARCHIVE:zlib_archive/libzlib.a;/WHOLEARCHIVE:double_conversion/libdouble-conversion.a;/WHOLEARCHIVE:core/grappler/costs/libop_performance_data_cc_impl.a;/WHOLEARCHIVE:core/libprotos_all_proto_cc_impl.a;/WHOLEARCHIVE:core/liberror_codes_proto_cc_impl.a;/WHOLEARCHIVE:protobuf_archive/libprotobuf.a;/WHOLEARCHIVE:protobuf_archive/libprotobuf_lite.a;/WHOLEARCHIVE:com_google_absl/absl/strings/libstrings.a;/WHOLEARCHIVE:com_google_absl/absl/strings/libinternal.a;/WHOLEARCHIVE:com_google_absl/absl/base/libthrow_delegate.a;/WHOLEARCHIVE:com_google_absl/absl/numeric/libint128.a;/WHOLEARCHIVE:com_google_absl/absl/types/liboptional.a;/WHOLEARCHIVE:com_google_absl/absl/types/libbad_optional_access.a;/WHOLEARCHIVE:com_google_absl/absl/base/libbase.a;/WHOLEARCHIVE:com_google_absl/absl/base/libspinlock_wait.a;/WHOLEARCHIVE:com_google_absl/absl/base/libdynamic_annotations.a;cudart.lib;"

$ENV:TFLIBS4="/WHOLEARCHIVE:core/libgpu_runtime_impl.lo;/WHOLEARCHIVE:core/libgpu_id_impl.a;/WHOLEARCHIVE:core/libgpu_init_impl.lo;/WHOLEARCHIVE:core/grappler/optimizers/libcustom_graph_optimizer_registry_impl.a;/WHOLEARCHIVE:core/kernels/liblookup_util.a;/WHOLEARCHIVE:core/kernels/libinitializable_lookup_table.a;/WHOLEARCHIVE:core/util/tensor_bundle/libtensor_bundle.a;/WHOLEARCHIVE:core/util/tensor_bundle/libnaming.a;/WHOLEARCHIVE:core/libcore_cpu_base.lo;/WHOLEARCHIVE:core/libfunction_ops_op_lib.lo;/WHOLEARCHIVE:core/libfunctional_grad.lo;/WHOLEARCHIVE:core/libfunctional_ops_op_lib.lo;/WHOLEARCHIVE:core/kernels/libno_op.lo;/WHOLEARCHIVE:core/kernels/libsendrecv_ops.lo;/WHOLEARCHIVE:core/libno_op_op_lib.lo;/WHOLEARCHIVE:core/libsendrecv_ops_op_lib.lo;/WHOLEARCHIVE:core/libgpu_lib.a;/WHOLEARCHIVE:stream_executor/libcuda_platform.lo;/WHOLEARCHIVE:stream_executor/libstream_executor_impl.lo;/WHOLEARCHIVE:core/kernels/libops_util.a;cublas.lib;cuda.lib;cudnn.lib;cufft.lib;curand.lib;/WHOLEARCHIVE:core/libcore_cpu_impl.lo;/WHOLEARCHIVE:core/libgraph.a;/WHOLEARCHIVE:core/grappler/libgrappler_item.a;/WHOLEARCHIVE:core/grappler/libop_types.a;/WHOLEARCHIVE:core/grappler/libutils.a;/WHOLEARCHIVE:core/libframework_internal_impl.lo;/WHOLEARCHIVE:core/libfeature_util.a;/WHOLEARCHIVE:core/libprotos_all_proto_text.a;/WHOLEARCHIVE:core/liberror_codes_proto_text.a;/WHOLEARCHIVE:core/libstats_calculator_portable.a;/WHOLEARCHIVE:core/libversion_lib.a;cudart.lib;/WHOLEARCHIVE:core/liblib_internal_impl.a;/WHOLEARCHIVE:com_google_absl/absl/types/liboptional.a;/WHOLEARCHIVE:com_google_absl/absl/types/libbad_optional_access.a;/WHOLEARCHIVE:nsync/libnsync_cpp.a;/WHOLEARCHIVE:core/liblib_hash_crc32c_accelerate_internal.a;/WHOLEARCHIVE:core/liblib_proto_parsing.a;/WHOLEARCHIVE:core/libabi.a;/WHOLEARCHIVE:core/libplatform_base.a;/WHOLEARCHIVE:com_google_absl/absl/strings/libstrings.a;/WHOLEARCHIVE:com_google_absl/absl/strings/libinternal.a;/WHOLEARCHIVE:com_google_absl/absl/base/libthrow_delegate.a;/WHOLEARCHIVE:com_google_absl/absl/base/libbase.a;/WHOLEARCHIVE:com_google_absl/absl/base/libspinlock_wait.a;/WHOLEARCHIVE:com_google_absl/absl/numeric/libint128.a;/WHOLEARCHIVE:com_google_absl/absl/base/libdynamic_annotations.a;/WHOLEARCHIVE:gif_archive/libgif.a;/WHOLEARCHIVE:jpeg/libjpeg.a;/WHOLEARCHIVE:jpeg/libsimd_win_x86_64.a;/WHOLEARCHIVE:com_googlesource_code_re2/libre2.a;/WHOLEARCHIVE:farmhash_archive/libfarmhash.a;/WHOLEARCHIVE:fft2d/libfft2d.a;/WHOLEARCHIVE:highwayhash/libsip_hash.a;/WHOLEARCHIVE:highwayhash/libarch_specific.a;/WHOLEARCHIVE:snappy/libsnappy.a;/WHOLEARCHIVE:zlib_archive/libzlib.a;/WHOLEARCHIVE:double_conversion/libdouble-conversion.a;/WHOLEARCHIVE:core/grappler/costs/libop_performance_data_cc_impl.a;/WHOLEARCHIVE:core/libprotos_all_proto_cc_impl.a;/WHOLEARCHIVE:core/liberror_codes_proto_cc_impl.a;/WHOLEARCHIVE:protobuf_archive/libprotobuf.a;/WHOLEARCHIVE:protobuf_archive/libprotobuf_lite.a;"

beyogen auf

bazel-tensorflow\bazel-out\x64_windows-opt\bin\tensorflow
bazel-tensorflow\bazel-out\x64_windows-opt\bin\external als Suchpfade

das kommt von den Informationen in

libtensorflow_cc.so-2.params und libtensorflow_framework.so-2.params

Mit einer .vcxproj -Datei, um dies einzurichten, wird alles zu einer Wurmkiste.

Das Zeichenlimit kommt immer wieder ins Spiel, mit einem Zeichenlimit von 65.000 werden Sie auf Schritt und Tritt vollgestopft. Die 16-Bit-Geschichte des Windows-Betriebssystems hat viel zu verantworten.

Vielleicht, wenn ich einfach die .obj -Dateien der .pb.cc -Dateien direkt hinzufüge, wird das die fehlenden Symbole heilen.

@gunan @meteorcloudy @Artem-B

Einfach hinzufügen

../../../tensorflow-r1.12/bazel-tensorflow/bazel-out/x64_windows-opt/bin/tensorflow/core/_objs/protos_all_proto_cc_impl/config.pb.o

Bei den verknüpften Objekten gehen Sie von 34 fehlenden Symbolen auf 164 fehlende Symbole.

Ich brauche wirklich einen Expertenleitfaden zum Ausführen des folgenden C++-Codes in Windows 10

#include "tensorflow/core/protobuf/config.pb.h"
#include <iostream>

int main() {
    tensorflow::GPUOptions gpu_options;

    gpu_options.set_visible_device_list("0");

    std::cout << "allocator_type " << gpu_options.allocator_type() << std::endl;
    std::cout << "visible_device_list " << gpu_options.visible_device_list() << std::endl;

    gpu_options.set_allocator_type("7");

    std::cout << "allocator_type " << gpu_options.allocator_type() << std::endl;
    std::cout << "visible_device_list " << gpu_options.visible_device_list() << std::endl;


    gpu_options.set_visible_device_list("5");

    std::cout << "allocator_type " << gpu_options.allocator_type() << std::endl;
    std::cout << "visible_device_list " << gpu_options.visible_device_list() << std::endl;

    gpu_options.set_allocator_type("3");

    std::cout << "allocator_type " << gpu_options.allocator_type() << std::endl;
    std::cout << "visible_device_list " << gpu_options.visible_device_list() << std::endl;


}

Bis hin zu Betriebssystem, Compiler, Bazel-Version, CUDA-Version usw.

Das Problem ist nicht auf r1.12 oder r2.2 beschränkt, es ist systembedingt, wie protobuf mit der Verknüpfung unter Windows funktioniert.

Wir haben keine Lösung für statisches Linken, aber das ist eine Voraussetzung dafür, dass der obige Code korrekt ausgeführt wird.

Meine gehackte Lösung funktioniert nicht über die einfache Treiberversion hinaus, unter MSVC 2019 mit r2.2

Es basierte darauf, die Eingaben zum tensorflow_cc.dll -Ziel unter r2.2 hinzuzufügen, um die .params -Datei des Verknüpfungsskripts aufzuzeichnen

Dabei sollte die Verwendung der Eingaben für libtensorflow_cc.so unter r1.12 genauso funktionieren, aber sie tun es nicht, die fehlenden Symbole für die .proto basierenden kompilierten Dateien.

Ich bin mir nicht sicher, was dieses Verhalten verursacht.

Wenn die Datei „core/platform/windows/port.cc“ beispielsweise die Symbole für port::InitMain enthält, wie kann ich herausfinden, welches Artefakt die Symbole für die kompilierte Version dieses Codes enthält?

Dies ist eines der fehlenden Symbole, die in der Liste beim dynamischen Linken enthalten waren.

Also, wenn die Eingaben für die .dll beim statischen Linken vorhanden sind. Warum fehlt dieses Symbol?

Wenn ich das herausfinden kann, kann ich vielleicht eine ähnliche Logik auf die verbleibenden 33 fehlenden Symbole anwenden

Sam

OK, ich habe dies mit einem rekursiven grep durch die .params -Dateien fortgesetzt, um nach port.o aus der core/platform/windows/port.cc -Datei zu suchen, und es wurde zuerst in libframework_internal_impl.lo und liblib_internal_impl.a gebündelt example.obj mit beiden verbunden wird, um .dll zu ergeben

Die Symbole sollten also doppelt vorhanden sein!

Eine Kuriosität, die ich habe, ist die /DEFAULTLIB:msvrt.lib vs. /DEFAULTLIB:libcmt.lib

sehen:
https://docs.microsoft.com/en-us/cpp/c-runtime-library/crt-library-features?view=vs-2019

example.obj , was example.dll ergibt, wenn es mit allen TF-Symbolen und anderen coolen Sachen (tm) verknüpft ist. verwendet /DEFAULTLIB:libcmt.lib , während tensorflow_cc.dll mit /DEFAULTLIB:msvc erstellt wurde

libtensorflow_cc.so-2.params.zip
OK, ich habe dies mit einem rekursiven grep durch die .params -Dateien fortgesetzt, um nach port.o aus der core/platform/windows/port.cc -Datei zu suchen, und es wurde zuerst in libframework_internal_impl.lo und liblib_internal_impl.a gebündelt example.obj mit beiden verbunden wird, um .dll zu ergeben

Die Symbole sollten also doppelt vorhanden sein!

Eine Kuriosität, die ich habe, ist die /DEFAULTLIB:msvrt.lib vs. /DEFAULTLIB:libcmt.lib

sehen:
https://docs.microsoft.com/en-us/cpp/c-runtime-library/crt-library-features?view=vs-2019

example.obj , was example.dll ergibt, wenn es mit allen TF-Symbolen und anderen coolen Sachen (tm) verknüpft ist. verwendet /DEFAULTLIB:libcmt.lib , während tensorflow_cc.dll mit /DEFAULTLIB:msvcrt.lib erstellt wurde. Ich glaube nicht, dass dies die Ursache all meiner Probleme ist.

Aber wenn wir in der Situation sind, protobuf -Symbole mehr als einmal einzuschließen, dann die Tatsache, dass libtensorflow_cc.so port.cc über libframework_internal_impl.lo und über liblib_internal_impl.a enthält Ich weiß, dass port.cc keine .proto -Datei ist, aber wenn es mit einigen Quelldateien passiert, könnte es mit anderen passieren.

Das war, bevor ich mit dem Hacken anfing.

siehe angehängte Datei, libtensorflow_cc.so-2.params.zip

@meteorcloudy @sanjoy @gunan

Wir haben zwei Dinge festgestellt

Das zweimalige Einschließen derselben Symbole beim Verknüpfen kann zu unerwartetem Verhalten führen

Tensorflow enthält mindestens zweimal dieselbe port.o-Datei mit denselben Symbolen

Können wir sicherstellen, dass die Eingabe in ein Bazel-Ziel eine gerichtete azyklische Graphdarstellung hat?

Es scheint, dass mein Ansatz, die Vereinigungsmenge aller Objektdateien unter Linux und MacOS zu erhalten, dieses Ergebnis erzielt

Aber wir werden mit einer .a-Datei konfrontiert, die größer als 2 GB ist, ganz zu schweigen davon, dass die Argumente über Listen mit weniger als 65.000 Zeichen gespeist werden

Wie Fahren wir fort?

Sam

Das zweimalige Einfügen des gleichen Symbols führt zu ODR ( One Definition Rule ) und das ist UB / fehleranfällig.

Wir haben mehrere ODR-Verstöße in TF, müssen sie identifizieren und beheben. Vielen Dank, dass Sie herausgefunden haben, dass port.o es verursacht!

Ich denke, die nächste Schlussfolgerung wäre, die Größe der Union aller erforderlichen Objektdateien durch rekursive Suche nach .params-Dateien zu finden und dann eine Verknüpfungsstrategie mit einer Komplexität von weniger als n Fakultät zu erstellen, was mein letzter Versuch war, der nach sechs Stunden fehlschlug aus

Prüfen Sie dann, ob die endgültige Verknüpfung unter 2 GB liegt

Ich vermute, dass dies ein testbares binäres Ergebnis ist und die Datei eine Größe von mehr oder weniger als 2 GB haben wird

Sam

Entschuldigung für die vielleicht blöde Frage, aber welcher Workaround ist der "letzte"?
Ich habe Probleme mit der Geräteplatzierung unter Windows in C++ (im Grunde kann ich nichts zuverlässig auf einer bestimmten GPU platzieren, wenn mehrere in der Lage sind, Tensorflow auszuführen), die ich mit options.config.mutable_gpu_options()->set_visible_device_list("0"); zu lösen versucht habe, um mit GPU 0 zu arbeiten.

Dies führt jedoch zu einem Absturz: F tensorflow/core/framework/op.cc:214] Non-OK-status: RegisterAlreadyLocked(deferred_[i]) status: Invalid argument: No attr with name '0' for input 'constants'; in OpDef: name: "XlaLaunch" input_arg { name: "constants" description: "0" type_attr: "0" number_attr: "0" type_list_attr: "Tconstants" } input_arg { name: "args" description: "0" type_attr: "0" number_attr: "0" type_list_attr: "Targs" } input_arg { name: "resources" description: "0" type: DT_RESOURCE type_attr: "0" number_attr: "Nresources" type_list_attr: "0" } output_arg { name: "results" description: "0" type_attr: "0" number_attr: "0" type_list_attr: "Tresults" } attr { name: "Tconstants" type: "list(type)" description: "0" has_minimum: true } attr { name: "Targs" type: "list(type)" description: "0" has_minimum: true } attr { name: "Nresources" type: "int" description: "0" has_minimum: true } attr { name: "Tresults" type: "list(type)" description: "0" has_minimum: true } attr { name: "function" type: "func" description: "0" } summary: "XLA Launch Op. For use by the XLA JIT only." description: "0" is_stateful: true

Ich dachte, dass dieser Fehler etwas mit dem zu tun haben könnte, was in diesem Thread beschrieben wird, da für mich die Zeiger für visible_device_list und zB allocator_type auch identisch sind, was später wahrscheinlich zu den Parsing-Fehlern führt .

Jede Möglichkeit, hier herumzunavigieren, ist willkommen!

Ich wünsche dir alles Gute.

Die Lösung wird durch zwei Probleme blockiert.

Die DLL kann nicht dynamisch verknüpft werden, da sich die Symbole von lib protobuf mit den Symbolen von Tensorflow überschneiden

Statisches Linken führt zu einem Objektdateisymbolarchiv, das 2 GB größer ist

Also solange es das gibt

https://docs.microsoft.com/en-us/dotnet/framework/configure-apps/file-schema/runtime/gcallowverylargeobjects-element

Ich denke, es kann mehrere Stunden dauern, bis alle Symbole in der obj-Datei gesammelt sind, um ein statisches Archiv zu erstellen.

Das könnte helfen

https://developercommunity.visualstudio.com/content/problem/332991/static-lib-4gb-file-size-limit-lnk1248-image-size.html