तो स्पष्ट रूप से यह एक संकलन और लिंकिंग समस्या है, ये विशेषताएँ एक ही प्रोटोबफ़ संदेश का हिस्सा हैं:

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

तो वे जिस प्रतीक को संबोधित करेंगे उसका नाम वही होगा।

जो है

? fixed_address_empty_string@internal@protobuf@google@@3V ? $स्पष्ट रूप से निर्मित@वी? $basic_string@DU? $char_traits@D@std@@V ? $allocator@D@2@@std@@@123@A

संकलन प्रक्रिया के लिए उपरोक्त .cc फ़ाइल में संदेश से समान प्रोटोबफ प्रतीक के लिए अलग-अलग स्मृति पते को संबोधित करना कैसे संभव है।

इसी तरह के मुद्दे का उल्लेख:
https://github.com/tensorflow/tensorflow/issues/23542

ऊपर उल्लिखित इस config.proto फ़ाइल के लिए ऑब्जेक्ट फ़ाइल कहाँ है

मैं खोज सकता हूँ

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

मैं tensorflow.dll . से प्रतीक को उजागर करने के बजाय उसके विरुद्ध लिंक करने का प्रयास कर सकता था

लेकिन मुझे अभी तक उस फ़ाइल से एक प्रतीक डंप करना है, यह देखने के लिए कि क्या

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

यहाँ आशा का एक और संकेत है:

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

उल्लेख @ ttdd11 @Steroes @ZhuoranLyu @brantl @ सिटिंग-डक जो पहले इस मुद्दे के करीब रहे हैं।

ठीक है यह यहाँ है

मेरे निरंतर एकीकरण परीक्षण से

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

यहाँ main.cpp है

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

}

अब मैं देखूंगा कि क्या मैं इसे किसी तरह काम करने के लिए प्राप्त कर सकता हूं ताकि वे दो चीजें एक-दूसरे के ऊपर न हों।

क्या कोई मुझे बता सकता है कि कैसे

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

स्मृति के एक ही बिट पर वे दो std::string.c_str() बन जाते हैं?

मैं प्रोटोबफ और बेज़ल प्रक्रिया को विशेष रूप से अच्छी तरह से नहीं समझता।

यहां config.pb.h config.pb.cc . की सामग्री दी गई है
config.pb.h.zip
config.pb.cc.zip

.\tensorflow-r1.12\bazel-genfiles\tensorflow\core\protobuf . में मिला

संलग्न .zip फाइलों में

यहाँ control_flow.pb.h और control_flow.pb.cc के रूप में .zip फ़ाइलें भी .\tensorflow-r1.12\bazel-genfiles\tensorflow\core\protobuf से हैं

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

लिनक्स के तहत समान कोड वाले टेंसरफ़्लो के स्थिर संस्करण पर समान कोड समान पता साझा नहीं करता है।

@sanjoy अगर आपको किसी अतिरिक्त जानकारी की आवश्यकता है तो मैं जो कुछ भी करता हूं वह सीआई पर्यावरण में दोहराने योग्य स्क्रिप्ट द्वारा ट्रिगर किया जाता है, यह रूलेट प्रक्रिया नहीं बल्कि दोहराने योग्य प्रक्रिया है।

@gunan क्या आपके पास इस पर काम करने वाला कोई है?

क्या समस्या नए संस्करण पर होती है?
1.12 निश्चित रूप से हमारी सहायता विंडो से बाहर है। मैं 1.15 को इसकी खोज करने की कोशिश कर सकता हूं, लेकिन वास्तविक रूप से, मास्टर या 2.2 वह है जिसकी मैं सबसे अधिक मदद कर सकूंगा।

@गुणन

मेरे पास एक प्रयास होगा, लेकिन r1.12+ को हार्डवेयर निर्देशों की आवश्यकता होती है जो कुछ पुराने हार्डवेयर की तुलना में अधिक आधुनिक होते हैं जिनका मैं समर्थन करना चाहता था मुझे लगता है कि AVX, AVX2 और SSE4

मैं देखूंगा कि क्या मैं क्लाउड बॉक्स पर बिल्ड कर सकता हूं, मुझे लगता है कि दूसरों ने 1.15 पर रिपोर्ट किया है, मैं देखूंगा कि क्या मुझे एक नया बिल्ड प्लेटफॉर्म तैयार करने से पहले इसका संदर्भ मिल सकता है।

सैम

मुझे यह सुनकर आश्चर्य होता है। यदि आप स्रोतों से निर्माण कर रहे हैं, तो आपको बिना किसी उन्नत निर्देश सेट के निर्माण करने में सक्षम होना चाहिए। अगर ऐसा होता है, तो इसे हल करने में मुझे मदद करने में खुशी होगी (हम इसके लिए एक और मुद्दा बना सकते हैं)

यहां तक ​​​​कि r1.12 के साथ NASM और OpenSSL के लिए एक समाधान है जिसे बनाने की आवश्यकता है। मैं देखूंगा कि क्या मैं अगले सप्ताह में कभी-कभी त्रुटि को r1.15 के साथ पुन: उत्पन्न कर सकता हूं।

क्या समस्या नए संस्करण पर होती है?
1.12 निश्चित रूप से हमारी सहायता विंडो से बाहर है। मैं 1.15 को इसकी खोज करने की कोशिश कर सकता हूं, लेकिन वास्तविक रूप से, मास्टर या 2.2 वह है जिसकी मैं सबसे अधिक मदद कर सकूंगा।

मैं 1.15.3 को भी यही अनुभव कर रहा हूं। जैसा कि अन्य हैं, जैसे: https://github.com/tensorflow/tensorflow/issues/16291#issuecomment -573886148

क्षमा करें मुझे 1.15 या 1.14 के साथ निर्माण करने का समय नहीं मिला, मैं देखूंगा कि आज समय की अनुमति है या नहीं।

मैं वर्तमान में से निर्माण कर रहा हूँ

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

यह देखने के लिए कि क्या समस्या वहां मौजूद है:

पैच और बैश के लिए टूल चेन बेज़ेलिस्क विन 64, एनाकोंडा पायथन 3, MSYS2, CUDA 9.2.1.148 CUDNN 7.0.5.56 MSVC 2015 कम्युनिटी ऑन एक T4 बॉक्स है जो AWS पर विंडोज 2019 डेटासेंटर संस्करण चला रहा है।

    - $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

जहां निम्नलिखित हैं

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 

ड्राइवर का निर्माण करने और समस्या मौजूद है या नहीं, यह देखने के लिए बिल्ड अब सफलतापूर्वक पूरा हो गया है।

छह घंटे बाद परिणाम r1.12 में r1.14 . के समान है

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>

भी

किसी अज्ञात कारण से tensorflow_cc.lib को libtensorflow_cc.dll.ifso कहा जाता है।

लेकिन मैंने पहले से प्रोटोबफ 3.7.1 और मौजूदा nsync और abseil-cpp का उपयोग किया था

से भवन

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

जो r1.15.1 है

संकलन विफल

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.

केवल में परिवर्तन

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

r1.14 . के साथ ऊपर बताई गई निम्न फ़ाइलें थीं

उपयोग करने के लिए बेज़ल संस्करण का उल्लेख r1.15 . के लिए नहीं किया गया है

देखो:

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

मैं bazel 0.26.1 के साथ पहिया को एक बार फिर घुमाऊंगा और देखूंगा कि क्या इसमें सुधार होता है।

@गुणन

'बेज़ल 0.26.1' के साथ भी ऐसा ही

यदि आप लक्ष्य बनाने के बारे में स्पष्ट निर्देश दे सकते हैं तो मुझे r1.15 के साथ बग प्रदर्शित करने में प्रसन्नता हो रही है

tensorflow_cc.dll

दस्तावेजों में इस संस्करण को परीक्षण के रूप में शामिल नहीं किया गया है

बेज़ल संस्करण के उपयोग के लिए MSVC संस्करण के बारे में कोई अनुशंसा नहीं है

सैम

@sanjoy @gunan
यह फरवरी 2019 में यहां बताया गया था

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

यह अभी भी r1.14 . में मौजूद है

मैं कल्पना कर सकता हूं कि बग अभी भी r2.2 . में मौजूद रहेगा

क्या कोई और मेरे लिए इसकी पुष्टि कर सकता है?

शो के साथ ठीक है

इस प्रकार tensorflow_cc.dll बनाना

48 कोर और 4 T4 ट्यूरिंग कार्ड के साथ AWS T4 बॉक्स पर पॉवरशेल में

निम्नलिखित स्थापित के साथ

pacman के माध्यम से पैच के साथ msys2
C++ के लिए MSVC 2015 सामुदायिक संस्करण
एनाकोंडा पायथन 3
विन 64 . के लिए बेसलिस्क
CUDA टूलकिट 9.2.1.148
सीयूडीएनएन 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

जहां बिल्ड-tf.ps1 इस प्रकार है

$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  

मैं परिणाम का इंतजार करूंगा और ड्राइवर के खिलाफ निर्माण करने के लिए सीएमके के माध्यम से एब्सिल, एनएसआईएनसी और प्रोटोबफ का निर्माण करूंगा।

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

}

जो इसी तरह बनाया जाएगा

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;

कार्यस्थान से प्रोटोबफ का स्थान यहां दिया गया है।bzl

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

मैं देखूंगा कि क्या जरूरत पड़ने पर मुझे एब्सिल-सीपीपी और nsync की आवश्यकता हो सकती है।

यह अच्छी तरह से समाप्त नहीं हुआ

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

इसलिए मुझे लगता है कि मैं MSVC 2019 स्थापित करता हूं और पुनः प्रयास करता हूं।

@gunan क्या आप किसी को इस पर गौर कर सकते हैं, क्या इस परियोजना में विंडोज और सी ++ के रखरखाव के लिए पर्याप्त संसाधन हैं?

यह मेरा समय बर्बाद कर रहा है

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

MSVC 2015 पर मास्टर के साथ पुन: प्रयास कर रहा है

यहां मास्टर a7d8140e60d351d25ee3ba8236d8badf975dcada की त्रुटियां हैं

एमएसवीसी 2015 का उपयोग करना

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.

MSVC 2019 के साथ इस प्रकार दोहराना

AWS 4 T4 ट्यूरिंग कार्ड और 48 वर्चुअल कोर और 190Gb RAM और MS सर्वर 2019 . के साथ

एनाकोंडा आधारित पायथन
पैच, पर्ल और बैश के लिए MSYS2
MSVC 2019 सामुदायिक संस्करण
विन64 बेज़ेलिस्क

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  

कदम:

1. ओपन पॉवरशेल
2. स्रोत buildenv.ps1
3. गिट क्लोन टेंसरफ्लो यूआरएल
4. गिट चेकआउट r2.2
5. स्रोत build-tf.ps1

.tf_configure.bazelrc.zip

bazel config संलग्न है, वापस सफलता या विफलता की रिपोर्ट करेगा।

हमारे पास निश्चित रूप से विंडोज़ के विशेषज्ञों की कमी है।
TF को c++14 की आवश्यकता है, इसलिए msvc 2015 के साथ निर्माण कार्य नहीं करेगा।

मैं अभी भी "आवंटक प्रकार" और "दृश्यमान डिवाइस सूची" के लिए स्ट्रिंग जीपीयू विकल्पों के बीच स्मृति पते को ओवरलैप करने से आपका क्या मतलब है इसका विश्लेषण करने का प्रयास कर रहा हूं।
क्या आपका मतलब है कि आप एक फ़ील्ड सेट कर रहे हैं, और दूसरा अनजाने में बदल जाता है?

यदि ऐसा है, तो आपके पास जो प्रजनन है वह बहुत ही अप्रत्यक्ष है। अपने पुनरुत्पादन कोड में, क्या आप दृश्यमान_डिवाइस_सूची सेट करने से पहले और बाद में उसी फ़ील्ड को प्रिंट कर सकते हैं?
अन्यथा, एक अन्य कारण यह हो सकता है कि आपके GPU में इसकी 80% मेमोरी उपलब्ध न हो।

साथ ही, t ensorflow:GpuOptions एक साधारण प्रोटोकॉल बफ़र है। मैं देखता हूं कि आप अलग से libprotobuf बनाते हैं और उसका उपयोग करने का प्रयास करते हैं। वह वर्कफ़्लो इस समय सख्ती से असमर्थित है, और मुझे अत्यधिक संदेह है कि यह आपके प्रोटोकॉल बफ़र्स में भ्रष्टाचार का कारण हो सकता है।

यहां देखें CUDA 9.2.1.148 और MSVC 2019 का परिणाम

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

तो अब हंसी के लिए मैं MSVC 2017 डालूंगा और देखूंगा कि क्या मैं आगे बढ़ता हूं, CUDA टूलकिट 9.2.1.148 संगतता के लिए एक आवश्यकता है।

मैं अभी भी "आवंटक प्रकार" और "दृश्यमान डिवाइस सूची" के लिए स्ट्रिंग जीपीयू विकल्पों के बीच स्मृति पते को ओवरलैप करने से आपका क्या मतलब है इसका विश्लेषण करने का प्रयास कर रहा हूं।
क्या आपका मतलब है कि आप एक फ़ील्ड सेट कर रहे हैं, और दूसरा अनजाने में बदल जाता है?

हाँ, मेरा यही मतलब है, क्षमा करें अगर यह भीख मांगने से स्पष्ट नहीं था

क्या आप ड्राइवर को बेहतर ढंग से प्रदर्शित करने के लिए संशोधित कर सकते हैं जो मुझे लगता है कि यह स्पष्ट करता है?

यदि ऐसा है, तो आपके पास जो प्रजनन है वह बहुत ही अप्रत्यक्ष है। अपने पुनरुत्पादन कोड में, क्या आप दृश्यमान_डिवाइस_सूची सेट करने से पहले और बाद में उसी फ़ील्ड को प्रिंट कर सकते हैं?

हाँ, मैं इसे अभी r1.14 में कर सकता हूँ।

अन्यथा, एक अन्य कारण यह हो सकता है कि आपके GPU में इसकी 80% मेमोरी उपलब्ध न हो।

साथ ही, t ensorflow:GpuOptions एक साधारण प्रोटोकॉल बफ़र है। मैं देखता हूं कि आप अलग से libprotobuf बनाते हैं और उसका उपयोग करने का प्रयास करते हैं। वह वर्कफ़्लो इस समय सख्ती से असमर्थित है, और मुझे अत्यधिक संदेह है कि यह आपके प्रोटोकॉल बफ़र्स में भ्रष्टाचार का कारण हो सकता है।

समर्थित कार्यप्रवाह क्या है?

Tensorflow में कोई प्रोटोबफ़ प्रतीक नहीं हैं।

दुर्भाग्य से, विंडोज़ पर काम करने का एकमात्र विश्वसनीय तरीका, जहां तक ​​​​हम देख सकते थे, टीएफ को स्थिर रूप से लिंक करना था। प्रोटोबफ वास्तव में टीएफ में पूरी तरह से जुड़ा हुआ है, हालांकि कई प्रतीक छिपे हुए हैं क्योंकि हम विंडोज़ पर ~ 64 के प्रतीक सीमा को मारते रहते हैं। हम अपने एपीआई को परिष्कृत करने के लिए काम कर रहे हैं, लेकिन जैसा कि हमने बाद में विंडोज़ समर्थन जोड़ा, और केवल वही दिखाया जो हमने अपने सीमित प्रयोगों में देखा था, एपीआई सतह से कई प्रतीक गायब हैं। हम कुछ प्रतीकों को उजागर करने के लिए एक साथ काम कर सकते हैं, या कुछ स्थानीय संशोधनों/पैचों का प्रस्ताव कर सकते हैं ताकि आपकी परियोजना विंडोज़ पर काम कर सके।

जैसा कि मैंने पहले कहा, हमारे पास विंडोज़ पर बहुत सीमित अनुभव है, इस प्रकार बहुत सारी सुविधाओं की कमी है। साथ ही आने वाली समस्याओं से निपटने के लिए संघर्ष कर रहे हैं, जैसा कि आपने इस मुद्दे पर स्पष्ट रूप से अनुभव किया है। मुझे इसके लिए वास्तव में खेद है। मैं आपके द्वारा देखी गई कुछ समस्याओं को आज़माने के लिए एक कार्यक्षेत्र स्थापित करने का प्रयास कर रहा हूँ। मैं libtensorflow_cc के एक स्वच्छ निर्माण के साथ शुरू करूंगा, फिर आपके द्वारा देखे गए प्रोटोबफ मुद्दों को देखें।

इस बीच, यदि आप निम्नलिखित कोड का आउटपुट साझा कर सकते हैं, तो यह मेरे लिए काफी मददगार होगा। जैसा कि मैंने कहा, यह एक प्रोटोबफ प्रतीक है, और मैं प्रोटोबफ टीम के साथ यह देखने के लिए जांच करूंगा कि क्या उन्होंने विंडोज़ पर एक समान समस्या देखी है।

#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;

}

ठीक है अपने समय के साथ तालमेल बिठाने के लिए धन्यवाद।

main.cpp . से

#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


}

मुझे निम्न आउटपुट मिलता है:

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

खुद को बेहतर तरीके से न समझाने के लिए खेद है।

यहाँ आपके कोड का आउटपुट है

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

तो मुझे पता है कि r1.12 में .lds फ़ाइल के माध्यम से निर्माण समय पर प्रतीकों का खुलासा कैसे करें

मैं tensorflow_cc.dll . में प्रोटोबफ के लिए लापता प्रतीकों को कैसे ढूंढूं

ऐसा लगता है कि अँधेरे में बहुत छुरा घोंपा जा रहा है।

मुझे टीएफ से स्थिर रूप से लिंक करने में बहुत खुशी होगी।

मुझसे यह कैसे होगा?

इस समय, बेज़ल का उपयोग करना सबसे अच्छा तरीका है।
आप कार्यक्षेत्र बना सकते हैं, और TF को कार्यक्षेत्र निर्भरता के रूप में जोड़ सकते हैं।
फिर आप टीएफ पुस्तकालयों पर बेज़ल निर्भरताओं के रूप में निर्भर हो सकते हैं।

मैं आपके उदाहरण को अपनी मशीन पर भी परखूंगा। मैं प्रोटोबफ टीम के पास भी पहुंचा, और उनकी प्रतिक्रिया की प्रतीक्षा कर रहा था।

क्या प्लगइन के रूप में उपयोग करने के लिए अंतिम बाइनरी से लिंक करने के लिए आवश्यक सभी .lib फ़ाइलों को आसानी से गूंजने के लिए स्काईलार्क का उपयोग करने का कोई तरीका है?

बिल्ड चेन में बेज़ल पर निर्भरता जोड़ना बाकी बिल्ड प्रक्रिया के साथ असंगत हो सकता है।

उसके लिए, मुझे बेज़ल विशेषज्ञों की मदद की ज़रूरत होगी।
@hlopko @ r4nt @meteorcloudy क्या dll, या शायद cc_library बनाने के बाद lib फ़ाइलों को एक्सेस करने का कोई तरीका है?

इसके अलावा, मैंने अभी-अभी स्थानीय रूप से निर्माण किया है, और मैं बिना cuda के MSVC 2019 पेशेवर का उपयोग करके निर्माण करने में सक्षम था। CUDA के साथ पुन: प्रयास कर रहे हैं।

वैसे, मैंने अपने क्लाइंट को मास्टर ब्रांच में निम्नलिखित कमिट में सिंक किया है: e19e2d29d562724ead9e60e1ba4c4ffd91a0eb7a

निम्नलिखित दोनों आदेशों के लिए, मैं MSVC 2019 पेशेवर, नवीनतम उपलब्ध संस्करण के साथ TF का निर्माण करने में सक्षम था। MSVC समुदाय को समान परिणाम प्राप्त करने चाहिए।

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

@gunan आपने किस CUDA और CUDNN का उपयोग किया? मैं ब्लैकमैजिक डिज़ाइन संगतता के लिए CUDA 9.2.1.148 और CUDNN 7.0.5.56 पर लॉक हूं, क्योंकि cudnn64_7.dll पथ में है और मैं उनके सिस्टम के लिए एक प्लगइन हूं।

@hlopko @ r4nt @meteorcloudy क्या dll, या शायद cc_library बनाने के बाद lib फ़ाइलों को एक्सेस करने का कोई तरीका है?

हाँ, आप LIB फ़ाइल (आयात पुस्तकालय) को --output_groups=interface_library के माध्यम से कमांड लाइन में या फ़ाइल समूह नियम का उपयोग करके BUILD फ़ाइल में प्राप्त कर सकते हैं।
जैसे,

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

आप बाद में इस LIB फ़ाइल का उपयोग cc_import नियम में कर सकते हैं।
कृपया इस उदाहरण की जाँच करें: https://github.com/bazelbuild/bazel/blob/master/examples/windows/dll/windows_dll_library.bzl

मैं कल इसके साथ प्रयोग करूंगा।

स्पष्टीकरण के लिए धन्यवाद, यह मुझे अभी तक समझ में नहीं आया, लेकिन मेरा स्टार/स्काई लार्क सीमित है।

लेकिन इरादा इसे एक दस्तावेज़ में अनुक्रमित करने का होगा ताकि एक बार टीएफ बिल्ड मौजूद होने के बाद मैं एक ज़िप फ़ाइल से bazel-genfiles से आर्टिफैक्ट खींच सकता हूं और प्रत्येक .lib फ़ाइलों को स्थिर रूप से मेरे टीएफ प्लगइन में लिंक करने के लिए इंगित कर सकता हूं जो भी है कुछ अन्य पुस्तकालयों के खिलाफ जुड़ा हुआ है।

इस समय सीएमके या बेज़ल के माध्यम से हेडर और .lib फाइलों पर इशारा करते हुए एक एमएसवीसी प्रोजेक्ट के माध्यम से कोई संकेत नहीं है।

जबकि बेज़ल अद्भुत है, खरोंच से एक गैर Google प्रोजेक्ट में लागू करने से थोड़ा सा स्पिन अप हिट हो सकता है, जिसे मैंने अभी तक दूर नहीं किया है।

वैसे, मैंने अपने क्लाइंट को मास्टर ब्रांच में निम्नलिखित कमिट में सिंक किया है: e19e2d2

निम्नलिखित दोनों आदेशों के लिए, मैं MSVC 2019 पेशेवर, नवीनतम उपलब्ध संस्करण के साथ TF का निर्माण करने में सक्षम था। MSVC समुदाय को समान परिणाम प्राप्त करने चाहिए।

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

क्या आप परीक्षण करने में सक्षम थे कि उस ड्राइवर के साथ क्या हुआ जो आपने मुझे दिया था?

@sanjoy @gunan

एडिलेड में एक चमकीले नीले आसमान से सुप्रभात।

मैंने निम्नलिखित दस्तावेज़ों में देखा है:
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

तो अब मेरा इरादा विंडोज़ पर tensorflow_cc_static.lib बनाने का है जिसमें मेरे एप्लिकेशन की साझा लाइब्रेरी ( rotobot.ofx ) से स्थिर रूप से लिंक करने के लिए मेरे सभी प्रतीक होंगे, जिसका अर्थ है कि मुझे अब लिंक करने की आवश्यकता नहीं होगी tensorflow_cc.dll और साथ ही (lib)protobuf.dll और सभी 65K प्रतीक सीमाएं अतीत की बात हो जाएंगी।

क्या आपको मेरी रणनीति में कोई रुकावट नजर आती है?

मेरी नवीनतम विफलता

CUDA 10.2 और CUDNN 7.6.5.32 . का उपयोग करना

साथ

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

मैं इस कथन के बिना फिर से कोशिश करूंगा और देखूंगा कि यह संकलित है या नहीं।

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

संपादित करें: यह व्यवहार CUDA टूलकिट 10.2 के साथ अपेक्षित है, 10.2 9.2 का अपडेट है क्योंकि CUDA टूलकिट 9.2.1.148 MSVC 2019 के लिए nvcc का समर्थन नहीं करता है। MSVC 2017 TF 2.0 के लिए आवश्यक C++14 का समर्थन कर सकता है।

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

CUDA COMPUTE 3.5 और 3.7 पदावनत हैं, इसलिए T4 आधारित ट्यूरिंग कार्ड के लिए रेंडर को रद्द करने और इसे 7.0 पर लॉक करने की आवश्यकता है, लेकिन यह ट्यूरिंग आधारित कार्ड के बिना अंतिम उपयोगकर्ताओं की एक विस्तृत श्रृंखला के लिए उपयुक्त नहीं होगा।

अब यह CUDA की गणना 3.5,7.0 पर सेट है, केवल मैं देखूंगा कि यह संकलित करता है या नहीं।

MSVC 15 (2017) और CUDA टूलकिट 9.2.1.148 आपको C++ भाषा समर्थन देते हुए 7.0 की गणना करने की क्षमता और 3.5 से नीचे देता है।

7a7207f3b6 मुझे देता है

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

से

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

जहां मैं 2019 t4 सर्वर पर हूं जिसमें 48 कोर हैं

एनाकोंडा पायथन के साथ, पैच और पर्ल और बैश के लिए MSYS2, CUDA 10.2 CUDNN 7.6.5.32

buildenv.ps1 है

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 है

$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  

क्या यह अपेक्षित व्यवहार है?

मैं r2.2 के साथ दोहराऊंगा।

2b96f3662b पूरा हुआ।

r2.2 . से tensorflow\BUILD फ़ाइल संलग्न है

बिल्ड.ज़िप

जिसे के रूप में बनाया जा रहा है

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  

tensorflow\BUILD में संपादन है

पाँच पंक्तियाँ जोड़ना

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

```

मेरी मशीन पर क्यूडा 10.1 था, इसलिए उसके साथ प्रयास किया। तो यह क्यूडा संस्करणों में अंतर के कारण हो सकता है।
मैं देख रहा हूँ कि आपकी कुछ टिप्पणियों में cuda 9.2 का उल्लेख है, और कुछ में 10.2 का उल्लेख है।
मैं अनुमान लगा रहा हूं कि 10.2 के साथ निर्माण सफल हुआ?

@hlopko @ r4nt @meteorcloudy क्या dll, या शायद cc_library बनाने के बाद lib फ़ाइलों को एक्सेस करने का कोई तरीका है?

हाँ, आप LIB फ़ाइल (आयात पुस्तकालय) को --output_groups=interface_library के माध्यम से कमांड लाइन में या फ़ाइल समूह नियम का उपयोग करके BUILD फ़ाइल में प्राप्त कर सकते हैं।
जैसे,

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

आप बाद में इस LIB फ़ाइल का उपयोग cc_import नियम में कर सकते हैं।
कृपया इस उदाहरण की जाँच करें: https://github.com/bazelbuild/bazel/blob/master/examples/windows/dll/windows_dll_library.bzl

हाँ, यह सिर्फ एक फाइल बनाता है जो पहले से ही थी

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

यह केवल 39M है जबकि tensorflow_cc.dll फ़ाइल 320Mb . है

क्या आवश्यक है tensorflow_cc.lib का एक स्थिर संस्करण जहां इसमें अनुमान या प्रशिक्षण करने के लिए सभी प्रतीक हैं या जो कुछ भी tensorflow_cc.dll पेश करना है

मुझे लगता है कि संचार में एक त्रुटि थी, क्योंकि प्रोटोबफ के प्रतीकों का खुलासा नहीं किया गया है, मुझे tensorflow_cc.dll की इकाई में मौजूद सभी प्रतीकों के स्थिर संग्रह .lib से स्थिर रूप से लिंक करने में सक्षम होना चाहिए। tensorflow_cc.dll तो हेडर फाइलों और -L tensorflow_cc_static.lib के साथ यह सभी प्रतीकों को प्रदान करेगा।

मेरी मशीन पर क्यूडा 10.1 था, इसलिए उसके साथ प्रयास किया। तो यह क्यूडा संस्करणों में अंतर के कारण हो सकता है।
मैं देख रहा हूँ कि आपकी कुछ टिप्पणियों में cuda 9.2 का उल्लेख है, और कुछ में 10.2 का उल्लेख है।
मैं अनुमान लगा रहा हूं कि 10.2 के साथ निर्माण सफल हुआ?

हाँ यह सफल रहा।

के साथ पुन: प्रयास कर रहा है

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

और हम यहां मंडलियों में जा रहे हैं: @meteorcloudy

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

यहाँ //tensorflow:tensorflow_cc_static.lib . के उभार के परिणाम दिए गए हैं

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

हम tensorflow_cc.dll में इनपुट कैसे प्राप्त करते हैं जैसा कि ऊपर फ़ाइल समूह द्वारा एक संग्रह में रखा जाना है?

मैं इस पर चुपके कर रहा हूँ

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
)

मुझे लगता है कि मैं संक्रमणीय लिंकिंग समस्या में भाग सकता हूं।

उपरोक्त एक नहीं जाना है

के साथ प्रयास कर रहा है

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"]),
)

मुझे लगता है कि मुझे ऊपर काम करने के लिए tensorflow_framework में भी खींचने की जरूरत है, लेकिन मैं इसे बबल करने दूंगा और देखूंगा कि क्या होता है।

मैंने अभी यह भी देखा है कि tensorflow_cc.lib के लिए एक नियम है यदि मैं गतिशील रूप से लिंक करना चाहता हूं, जो @gunan सुझाव देता है कि इस समस्या का समाधान नहीं है, बल्कि tensorflow_cc.dll का एक स्थिर संस्करण प्राप्त करने के लिए है। बेज़ल से लेकिन मुझे लगता है कि यह काम नहीं करेगा, मैं एक और घंटे के लिए कोशिश करता रहूंगा।

ठीक है अब मेरे पास .a फाइलों का एक गुच्छा है

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

जो मुझे लगता है कि मैं इन्हें लिनक्स पर .a फाइलों की तरह लिंक कर सकता हूं और मेरे प्रतीक बस "वहां रहेंगे"

मैं एक बड़े की उम्मीद कर रहा था, मैं कोशिश करता रहूंगा।

शायद मैं जितना सोचता हूँ उससे कम मूर्ख हूँ
@hlopko @meteorcloudy

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

यदि .a फ़ाइलों का वाइल्ड कार्ड बनाने के लिए वैसे भी है जो $#$1 filegroup #$ में bazel-bin में कॉपी किए गए थे

मैं इसे tensorflow/BUILD . के अंत में जोड़ना चाहता हूं

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"],
)

और //tensorflow:tensorflow_cc_static का निर्माण काम करना चाहिए

अगर किसी फ़ाइल समूह में bazel-bin में कॉपी की गई .a फ़ाइलों का वाइल्ड कार्ड बनाने के लिए वैसे भी है

@oquenchil हमारे C++ विशेषज्ञ हैं! Starlark में सभी ट्रांज़िटिव ऑब्जेक्ट फ़ाइलों या .a फ़ाइलों को एकत्रित करने का तरीका क्या है?

मुझे लगता है कि हमारे सी ++ स्टारलार्क एपीआई का उपयोग करके, हम सभी ट्रांजिटिव लिब फाइलें एकत्र कर सकते हैं।
https://docs.bazel.build/versions/master/skylark/lib/CcInfo.html
संबंधित समस्या: https://github.com/bazelbuild/bazel/issues/1920

मैं बेज़ल पर छाया फेंकने की कोशिश नहीं कर रहा हूं, यह वास्तव में ज्यादातर चीजों का बहुत अच्छा काम करता है। लेकिन कई सीएमके परियोजनाओं में मैंने आपको उपयोग किया है बस -DBUILD_SHARED_LIBS=0 जोड़ें और एक स्थिर संग्रह पॉप आउट करें। इस सुविधा को देखते हुए 2016 में अनुरोध किया गया था। मुझे लगता है कि मैं सिर्फ पायथन ग्लोब का उपयोग कर सकता हूं और इसे मैश कर सकता हूं और देख सकता हूं कि स्थिर लिंकिंग इस मुद्दे को ठीक करेगी या नहीं।

पायथन का उपयोग करके मैं संबंधित .a फाइलों को इकट्ठा करने में सक्षम था

अजगर बहुत आसान था

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))

परिणाम फाइलों की एक महाकाव्य सूची है

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
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C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_lb_upb.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_max_age_filter.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_message_size_filter.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_resolver_dns_ares.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_resolver_dns_native.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_resolver_dns_selection.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_resolver_fake.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_resolver_sockaddr.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_resolver_xds_secure.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_secure.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_server_backward_compatibility.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_trace.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_transport_chttp2.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_transport_chttp2_alpn.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_transport_chttp2_client_connector.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_transport_chttp2_client_insecure.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_transport_chttp2_client_secure.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_transport_chttp2_server.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_transport_chttp2_server_insecure.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_transport_chttp2_server_secure.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_transport_inproc.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_workaround_cronet_compression_filter.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_xds_client_secure.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libproto_gen_validate_upb.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libtsi.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libtsi_interface.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_googlesource_code_re2\libre2.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_protobuf\libprotobuf_lite.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_protobuf\libprotoc_lib.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\double_conversion\libdouble-conversion.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\farmhash_archive\libfarmhash.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\fft2d\libfft2d.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\gif\libgif.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\highwayhash\libarch_specific.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\highwayhash\libsip_hash.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\icu\libicuuc.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\jsoncpp_git\libjsoncpp.a
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\llvm-project\llvm\libaggressive_inst_combine.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libamdgpu_code_gen.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libamdgpu_desc.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libamdgpu_info.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libamdgpu_utils.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libanalysis.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libasm_parser.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libasm_printer.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libbinary_format.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libbitstream_reader.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libbit_reader.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libbit_writer.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libcf_guard.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libcode_gen.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libcore.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libcoroutines.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libdebug_info_code_view.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libdebug_info_dwarf.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libdebug_info_msf.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libdemangle.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libexecution_engine.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libfrontend_open_mp.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libglobal_i_sel.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libinstrumentation.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libinst_combine.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libipo.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libir_reader.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libjit_link.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\liblinker.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libmc.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libmc_disassembler.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\llvm-project\llvm\libmc_parser.a
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

तो बिना कुछ जोड़े ये गायब प्रतीक हैं

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 ==========

निम्नलिखित जोड़ने के बाद

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
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C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_lb_policy_xds_secure.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_lb_upb.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_max_age_filter.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_message_size_filter.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_resolver_dns_ares.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_resolver_dns_native.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_resolver_dns_selection.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_resolver_fake.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_resolver_sockaddr.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_resolver_xds_secure.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_secure.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_server_backward_compatibility.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_trace.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_transport_chttp2.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_transport_chttp2_alpn.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_transport_chttp2_client_connector.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_transport_chttp2_client_insecure.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_transport_chttp2_client_secure.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_transport_chttp2_server.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_transport_chttp2_server_insecure.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_transport_chttp2_server_secure.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_transport_inproc.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_workaround_cronet_compression_filter.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_xds_client_secure.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libproto_gen_validate_upb.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libtsi.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libtsi_interface.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_googlesource_code_re2\libre2.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_protobuf\libprotobuf_lite.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_protobuf\libprotoc_lib.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\double_conversion\libdouble-conversion.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\farmhash_archive\libfarmhash.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\fft2d\libfft2d.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\gif\libgif.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\highwayhash\libarch_specific.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\highwayhash\libsip_hash.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\icu\libicuuc.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\jsoncpp_git\libjsoncpp.a
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

निम्नलिखित प्रतीक गायब हैं

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.

यह संकलन का परिणाम है

#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;

}

एमएसवीसी 2019 के साथ

निम्नलिखित परियोजना।

<?xml version="1.0" encoding="utf-8"?>
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    <ProjectConfiguration Include="Release|Win32">
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      <Platform>Win32</Platform>
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    <ProjectConfiguration Include="Debug|x64">
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    <CharacterSet>Unicode</CharacterSet>
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  <PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Release|x64'" Label="Configuration">
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    <CharacterSet>Unicode</CharacterSet>
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  <PropertyGroup Label="UserMacros" />
  <PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Debug|Win32'">
    <LinkIncremental>true</LinkIncremental>
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  <PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Release|Win32'">
    <LinkIncremental>false</LinkIncremental>
  </PropertyGroup>
  <PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Debug|x64'">
    <LinkIncremental>true</LinkIncremental>
  </PropertyGroup>
  <PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Release|x64'">
    <LinkIncremental>false</LinkIncremental>
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  <ItemDefinitionGroup Condition="'$(Configuration)|$(Platform)'=='Debug|Win32'">
    <ClCompile>
      <WarningLevel>Level3</WarningLevel>
      <SDLCheck>true</SDLCheck>
      <PreprocessorDefinitions>WIN32;_DEBUG;_CONSOLE;%(PreprocessorDefinitions)</PreprocessorDefinitions>
      <ConformanceMode>true</ConformanceMode>
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    <Link>
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      <GenerateDebugInformation>true</GenerateDebugInformation>
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      <IntrinsicFunctions>true</IntrinsicFunctions>
      <SDLCheck>true</SDLCheck>
      <PreprocessorDefinitions>WIN32;NDEBUG;_CONSOLE;%(PreprocessorDefinitions)</PreprocessorDefinitions>
      <ConformanceMode>true</ConformanceMode>
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    <Link>
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      <EnableCOMDATFolding>true</EnableCOMDATFolding>
      <OptimizeReferences>true</OptimizeReferences>
      <GenerateDebugInformation>true</GenerateDebugInformation>
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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>

देव.ज़िप

@गुणन
तो मेरा प्रश्न इस प्रकार है:

यदि आप libprotobuf.lib से tensorflow_cc.dll के लिए प्रतीक प्रदान करने के लिए लिंक नहीं कर सकते हैं और आपको स्थिर रूप से लिंक करने की आवश्यकता है, तो आप यह कैसे करते हैं?

क्या आप main.cpp कोड संकलित कर सकते हैं और मुझे बता सकते हैं कि स्थिर लिंकिंग के परिणामस्वरूप आपको क्या मिलता है?

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;

}

मैंने पहले थोड़ा सा देखा था और ऐसा लगता है कि config.proto tensorflow/core/protobuf में लापता प्रतीक हैं और जबकि .o फाइलें मिल सकती हैं, मैं यह देखने के लिए bazel संकेत के भीतर पथ का पालन नहीं कर सका कि ये ऑब्जेक्ट फ़ाइलें हैं या नहीं .a ऑब्जेक्ट आर्काइव्स में से एक में समाप्त होता है, स्पष्ट रूप से वे नहीं करते हैं या प्रतीक गायब नहीं होंगे।

लेकिन क्या यह समस्या का हिस्सा है?

.proto फ़ाइल एक .cc फ़ाइल बनाती है जो बदले में ऑब्जेक्ट फ़ाइल बनाती है, लेकिन हेडर भी बनाए जाते हैं, मुझे यकीन नहीं है कि हेडर प्रतीकों को उजागर करते हैं या नहीं।

सुबह मैं अतिरिक्त पुस्तकालयों में .o फ़ाइलों को जोड़ने का प्रयास करूंगा। लेकिन अतिरिक्त पुस्तकालयों और पुस्तकालयों के लिए एक वर्ण सीमा है इसलिए प्रत्येक ऑब्जेक्ट फ़ाइल को जोड़ना संभव नहीं हो सकता है।

जो स्थैतिक .lib .a और .o फ़ाइलों को एक बड़े स्थिर संग्रह में भरने की ओर ले जाता है।

जो लिनक्स और मैकओएस के तहत बाजेल के साथ किया जाना चाहिए, शेल पर एक बड़े शब्द आकार के साथ एआर का उपयोग करके इसे ऑब्जेक्ट फाइलों से किया जा सकता है।

@गुणन
क्या हम कृपया C++ और Tensorflow के लिए स्थिर लक्ष्य रख सकते हैं?

मुझे लगता है कि यह उचित है।
@meteorcloudy हम एक ऐसा लक्ष्य कैसे बना सकते हैं जो ऊपर खनन की गई व्यक्तिगत .a फ़ाइलों का संयोजन होगा? क्या बेज़ल इनका विलय कर सकती है?

निम्नलिखित से लिंक करना
निम्नलिखित लापता प्रतीकों में परिणाम

देखें संलग्न किया
आउटपुट.ज़िप

संकलन करते समय

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
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C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\common_runtime\eager\*.a
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C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\distributed_runtime\*.a
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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
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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
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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
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C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\platform\windows\*.a
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C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\profiler\convert\*.a
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C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\util\tensor_bundle\*.a
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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
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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
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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
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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

के रूप में फ़ाइलें शामिल करें

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

संकलन सफल है, लिंकिंग ऊपर के रूप में विफल रहता है।

धन्यवाद, मैं बाद में कोशिश करूंगा।

------------------ -------------------
: "सैम हॉज"< नोटिफिकेशन@github.com>;
नंबर: 2020年6月10日(星期三) 8:55
: "tensorflow/tensorflow"< [email protected]>;
: "सदस्यता लिया"< [email protected]>;
उत्तर: पुन: [टेंसरफ़्लो/टेंसरफ़्लो] विंडोज सी++ tensorflow_cc.dll में "आवंटक प्रकार" और "दृश्यमान डिवाइस सूची" (#39439) के लिए स्ट्रिंग जीपीयू विकल्पों के बीच अतिव्यापी स्मृति पता है।

निम्नलिखित से लिंक करना
निम्नलिखित लापता प्रतीकों में परिणाम

देखें संलग्न किया
आउटपुट.ज़िप

संकलन करते समय
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_objshost_proto_ccta*.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\_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_objshlo_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 C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core_objs\conv_autotuning_proto_cc_impl*.o C:\Users\Administrator\dev\tensorflow\bazel-b in\tensorflow\core_objs\eager_service_proto_cc_impl*.o C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core_objsmaster_proto_cc_impl*.o C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core_objs\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\bazel-bin\tensorflow\bazel-bin\tensorflow\ आवंटन_विवरण_प्रोटो_सीसी_इम्पल*.ओ सी:\उपयोगकर्ता\प्रशासक\देव\टेंसरफ्लो\bazel-बिन\टेंसरफ्लो\कोर\ढांचा_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_g raph_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\s\framework_objs\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\Ad मिनिस्ट्रेटर \ देव \ टेंसरफ़्लो \ बेज़ेल-बिन \ टेंसरफ़्लो \ कोर \ फ्रेमवर्क_ओबज \ रिमोट_फ्यूज्ड_ग्राफ_एक्सक्यूट_इन्फो_प्रोटो_सीसी_इम्पल *। व्यवस्थापक\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\ व्यवस्थापक\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\ व्यवस्थापक\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\ व्यवस्थापक\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 \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_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*. ओ 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_proto_cc_slice_. o C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor_objs\dnn_proto_cc_impl*.o
के रूप में फ़ाइलें शामिल करें
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
संकलन सफल है, लिंकिंग ऊपर के रूप में विफल रहता है।

-
आप इसे प्राप्त कर रहे हैं क्योंकि आपने इस थ्रेड की सदस्यता ली है।
इस ईमेल का सीधे उत्तर दें, इसे GitHub पर देखें, या सदस्यता समाप्त करें।

मैं चकित हूँ। मैंने देखा कि आप com_google_protobuf के अंतर्गत .a फ़ाइलें ले रहे हैं। मुझे नहीं पता कि आप प्रतीक त्रुटियों को कैसे देख रहे हैं।

मैं चकित हूँ। मैंने देखा कि आप com_google_protobuf के अंतर्गत .a फ़ाइलें ले रहे हैं। मुझे नहीं पता कि आप प्रतीक त्रुटियों को कैसे देख रहे हैं।

हाँ, यह हैरान करने वाला लगता है, अगर कोई और इसे स्वयं आज़माना चाहता है तो यह अनिवार्य रूप से r2.2 से बनाई गई कलाकृतियाँ और CUDA 10.2 के साथ लक्ष्य //tensorflow:tensorflow_cc.dll का निर्माण विजुअल स्टूडियो 2019 के साथ परिभाषित करता है।

मैं चकित हूँ। मैंने देखा कि आप com_google_protobuf के अंतर्गत .a फ़ाइलें ले रहे हैं। मुझे नहीं पता कि आप प्रतीक त्रुटियों को कैसे देख रहे हैं।

यदि आप .o फ़ाइल से बनाई गई .proto .o फ़ाइलों को शामिल नहीं करते हैं तो केवल लापता प्रतीक हैं

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.

C++ प्रोटोबफ .proto लक्ष्यों की .o फाइलों को शामिल करने से यह सूची लगभग 200 लापता प्रतीकों तक फैल जाती है।

@meteorcloudy @sanjoy @gunan

इस मुद्दे को उठाए एक माह बीत चुका है।

मैंने वह सब कुछ करने की कोशिश की है जो मुझसे पूछा गया है लेकिन हम अभी भी उस बिंदु पर हैं जहां हम बीस लाइन के तहत प्रजनन मामला नहीं चला सकते हैं।

यात्रा में एक पूर्ण और प्रतिलिपि प्रस्तुत करने योग्य संकलन समय और रनटाइम वातावरण बनाना शामिल है।

अब मैं एक बिंदु पर हूं कि लिंक करने पर दो लापता प्रतीक हैं GPUOptions C++ कंस्ट्रक्टर और डिस्ट्रक्टर सी घोषणाओं के रूप में यह दर्शाता है कि उन्हें गतिशील रूप से जोड़ा जाना चाहिए

लेकिन हम स्थिर रूप से लिंक करने की कोशिश कर रहे हैं।

मेरा अगला कदम गिटहब में .proto फ़ाइल से बने .cc इंटरमीडिएट को देखना है ताकि यह देखा जा सके कि गायब प्रतीक काले और सफेद रंग में हैं या नहीं।

वहां से हम केवल दो परिणाम देख सकते हैं

प्रतीक हैं और हम जोड़ने की प्रक्रिया का पालन करते हैं

प्रतीक गायब हैं और हम एक .lds फ़ाइल में एक DEF सूची में GPUOptions कंस्ट्रक्टर और डिस्ट्रक्टर को जोड़ने के लिए ऊपर की ओर देखते हैं ताकि यह सुनिश्चित हो सके कि .proro का निष्पादन योग्य में रूपांतरण सॉफ़्टवेयर के इच्छित व्यवहार के अनुरूप है।

लेकिन यह एक गतिशील लिंकिंग समाधान है और मुझे सबसे अच्छा समाधान बताया गया है विंडोज़ में 65K प्रतीक सीमा को पार करने के लिए स्थिर लिंकिंग है

चूंकि बेज़ल इस प्रक्रिया को कैसे अंजाम देना चाहता है, इसके बारे में कोई डिज़ाइन दस्तावेज़ नहीं हैं

मुझे मार्गदर्शन करने के लिए मैं Tensorflow टीम पर भरोसा करता हूँ।

या मैं सिर्फ धारणाएं बनाता रहता हूं और फिर प्रयोगों के साथ उनका परीक्षण करता हूं, जो कि मेरे सीमित संसाधनों का खराब उपयोग है

क्या मैं कृपया कुछ मार्गदर्शन मांग सकता हूं?

सैम

इसे मेरे बाद के संदर्भ के लिए यहाँ छोड़ रहा हूँ

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

हे सैम,
हम आपके फ़ीडबैक की सराहना करते हैं।
जैसा कि मैंने ऊपर उल्लेख किया है, मैं विचारों से बाहर हूं, और हम उस बिंदु पर हैं जहां हमें इनमें से कुछ को समझाने में मदद करने के लिए विंडोज़ विशेषज्ञता पर बेज़ल की आवश्यकता है।

दुर्भाग्य से, बेज़ल टीम जर्मनी में स्थित है। उनके पास अलग-अलग अवकाश कार्यक्रम, अलग-अलग बाधाएं और जीथब से मुद्दों का जवाब देने की प्रक्रियाएं भी हैं। आप जैसे हैं, मैं भी उनसे कुछ प्रतिक्रिया और मार्गदर्शन की प्रतीक्षा कर रहा हूँ।

पारदर्शिता के लिए धन्यवाद, यह निश्चित रूप से निराशा के स्तर में मदद करता है

यदि समय मिला तो मैं आज सुबह और प्रयोग करूंगा

आप जो कुछ भी दे सकते हैं उसके लिए मैं वास्तव में आभारी हूं

चीयर्स!

कृपया config.pb.h और config.pb.cc के परिणामस्वरूप config.proto में देखें

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

अर्थात

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

प्रोटोबफ.ज़िप

मैं प्रासंगिक कोड पेस्ट करूंगा:

#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();
}

हम देख सकते हैं कि ये प्रतीक cdecl . में लिपटे नहीं हैं

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

इसलिए प्रतीक गायब हैं।

मैं संपादन का प्रयास करूंगा:

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

*GPUOptions* . जोड़ने के लिए

फिर देखें कि चीजें वहां से कहां जाती हैं।

मैं आज इस पर थोड़ा समय बिता रहा हूँ

लेकिन दो काम हैं

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

और इस धागे पर TF_EXPORT मैक्रो, जबकि यह प्रतीकों को उजागर करता है, यह .proto से .pb.cc और .pb.h संकलन की एक परत के माध्यम से नहीं है।

इसलिए हमें प्रोटोबफ के माध्यम से संकलित प्रतीकों को उजागर करने के लिए एक तंत्र की आवश्यकता है

ठीक है मुझे कुछ प्रगति मिली

इस कार्यक्रम से

C++ ड्राइवर @gunan . द्वारा अनुशंसित

#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;



}

MSVC 2019 से आउटपुट

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 . . .

शामिल निर्देशिकाएं इस प्रकार हैं:

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)

यह से जुड़ा था

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)

ये कहां से बनाई गई कलाकृतियां हैं

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

जहां स्क्रिप्ट शामिल है

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 

इसके साथ ही
यह सी++ ड्राइवर

#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; 


}

का उत्पादन

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 . . .

तो @sanjoy @gunan @meteorcloudy अब आप r2.2 CUDA 10.2 MSVC 2019 और ऊपर सूचीबद्ध CUDNN संस्करणों का उपयोग करके प्रजनन कैसे कदम उठाते हैं।

यहाँ मेरा git diff . है

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:
     *;
 };

इसे देख रहे हैं:

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);
  }

क्या यह आवंटनकर्ता प्रकार और दृश्यमान जीपीयू सूची एक ही स्ट्रिंग पर होने का कारण बनता है।

@samhodge

मैंने विंडोज़ पर दिए गए सभी ट्रांजिटिव डिपो से जुड़ी एक स्थिर सीसी लाइब्रेरी बनाने के लिए win_cc_static_library नियम लिखा था। कृपया जांचें कि क्या यह मदद करता है।

अगर समय मिला तो मैं कोशिश करूँगा कि अब से लगभग 7 घंटे में

तो यह केवल //t ensorflow:tensorflow_cc.dll लक्ष्य पर समान निर्भरता रखने की बात होगी और इसे एक नाम दें और जादू हो जाएगा और मैं किसी भी अतिरिक्त को उजागर किए बिना .a या .lib फ़ाइल से लिंक कर सकता हूं प्रतीक?

क्या यह सही है @meteorcloudy ?

ठीक है मुझे कुछ समय मिल गया

यहाँ मेरी विधि है:

क्लोन r2.2
tensorflow निर्देशिका में win_cc_static_library.bzl फ़ाइल जोड़ें

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"],
)

अतिरिक्त रूप से शामिल करने के लिए tensorflow\BUILD को टेंसरफ़्लो में संशोधित करें

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

तथा

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"]),
)

फिर निम्नलिखित buildenv.ps1 को . .\buildenv.ps1 $ . के रूप में स्रोत करें

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

फिर एक स्रोत बेज़ल पॉवरशेल स्क्रिप्ट

$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

ऐसा लगता है कि निर्माण हो रहा है तो मैं उसके खिलाफ ही लिंक करूंगा और देख सकता हूं कि प्रतीक गायब हैं या नहीं।

अगर वे हैं तो मैं प्रासंगिक .lds फाइलों में $#$ *GPUOptions* $#$ जोड़ूंगा

करीब 6 घंटे बाद फाइलें

    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 ...

संकलित नहीं थे, इसलिए मैंने .obj फाइलों को हटा दिया और फिर से सोचने लगा कि यह फाइल सिस्टम में एक गड़बड़ है और वे जल्दी से निर्माण करेंगे।

मुझे लगता है कि मैं रात भर मशीन को छोड़ सकता हूं और देख सकता हूं कि क्या होता है।

लगभग दो घंटे बाद 48 कोर मशीन पर और तीन लक्ष्य अन्य दो डाउनस्ट्रीम लक्ष्यों को अवरुद्ध करते हैं।

    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

ऐसा लगता है कि https://github.com/tensorflow/tensorflow/issues/10521
क्या आपके पास build --define=override_eigen_strong_inline=true .tf_configure.bazelrc फ़ाइल में निर्दिष्ट है?

मुझे यकीन नहीं है लेकिन यह नवीनतम है

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

स्थिर पुस्तकालय बहुत बड़ा है, तो यहाँ से कहाँ जाना है?

यह अजीब है कि स्थिर पुस्तकालय का कुल आकार 2GB की सीमा से अधिक हो जाएगा जबकि DLL केवल दसियों MB का है?
क्या आप यह देखने के लिए bazel-out/x64_windows-opt/bin/tensorflow/tensorflow_cc_static.lib.params देख सकते हैं कि यह किन पुस्तकालयों को जोड़ने का प्रयास करता है? हो सकता है कि हम कुछ अवांछित निर्भरताओं को फ़िल्टर करने के लिए पहले नियम में कुछ हैक कर सकें।

यह निर्माण विकल्प के रूप में --define=override_eigen_strong_inline=true न होने का परिणाम भी हो सकता है, जिसके कारण obj फ़ाइल बहुत बड़ी हो सकती है।
क्या आप --define=override_eigen_strong_inline=true के साथ पुनर्निर्माण करने का प्रयास कर सकते हैं?

मैं कोशिश कर सकता हूं कि जल्द ही, मुझे रात में बस देर हो गई जब मैंने कुछ संसाधनों को बचाने के लिए जाँच की तो मैंने रात भर बड़े क्लाउड इंस्टेंस को बंद कर दिया।

सलाह के लिए धन्यवाद @meteorcloudy आप बहुत मददगार रहे हैं। बेज़ल मैक्रो ने इनलाइन विकल्प के साथ एक आकर्षण का काम किया, हमें खेल में वापस आना चाहिए

https://github.com/tensorflow/tensorflow/issues/39439#issuecomment -644408408 से ठीक चरणों को दोहराना

--define=override_eigen_strong_inline=true

ओके को छोड़कर #39439 (टिप्पणी) से चरणों को दोहराना ठीक है

--define=override_eigen_strong_inline=true

ऐसा लगता है कि यह तय हो गया है कि यह अब बहुत तेजी से बन रहा है, उम्मीद है कि फ़ाइल का आकार भी छोटा होगा।

यह निम्नलिखित संदेश के साथ अचानक समाप्त हो गया है

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

मुझे आश्चर्य नहीं है कि स्थिर पुस्तकालय इतना बड़ा है। एक गतिशील पुस्तकालय, या एक निष्पादन योग्य बनाते समय, अंतिम लिंकिंग चरण बहुत सी चीजों को समाप्त कर सकता है। क्या होता है जब आप परिणामी स्थिर पुस्तकालय को अपने अंतिम लिंकर को खिलाते हैं, और एक बाइनरी बनाते हैं जो छोटा होता है।

उस विफलता के बारे में, मुझे यकीन नहीं है, क्योंकि जिन फाइलों के बारे में शिकायत की गई है वे हेडर नहीं हैं।

मैं एक ताजा क्लोन के साथ दोहरा रहा हूं और देखता हूं कि यह दोहराने योग्य है या नहीं।

मुझे शुरुआती गिट क्लोन में कोई समस्या थी, यह अटक गया और मैंने सभी फाइलों को हटाए बिना इसे फिर से शुरू कर दिया, शायद कुछ दूषित फाइलें थीं।

समान समस्या

लेकिन इनलाइन विकल्प के साथ बहुत जल्दी डिलीवर किया।

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

एक चालाक शैतान होने के नाते यह मुझे नहीं रोकेगा

मेरे पास यह C:\Users\Administrator\dev\attempt6\tensorflow\bazel-out\x64_windows-opt\bin\tensorflow\tensorflow_cc_static.params है

/nologo
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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
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/librpc_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/rnn/libblas_gemm.a
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/rnn/liblstm_ops_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/rnn/liblstm_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/rnn/libgru_ops_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/rnn/libgru_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libremote_fused_graph_execute_utils.a
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libremote_fused_graph_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/librandom_binomial_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libragged_tensor_to_variant_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libbroadcast_to_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libbroadcast_to_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libragged_tensor_to_tensor_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libragged_tensor_to_sparse_kernel.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libragged_tensor_from_variant_op.lo
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
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libpartitioned_function_ops.lo
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
bazel-out/x64_windows-opt/bin/tensorflow/core/libnn_grad.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libxent_op_gpu.lo
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
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libsoftsign_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libsoftplus_op_gpu.lo
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
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libl2loss_op.lo
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
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libdepthwise_conv_grad_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libdata_format_ops_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libdata_format_ops.lo
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
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libbatch_norm_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libbatch_norm_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libmultinomial_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libmultinomial_op.lo
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
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libsegment_reduction_ops_gpu.lo
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
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libcross_op.lo
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
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libtridiagonal_solve_op_gpu.lo
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
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libresize_bicubic_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libresize_area_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/librandom_crop_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libnon_max_suppression_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libnon_max_suppression_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libimage_ops_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libimage_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libgenerate_box_proposals_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libextract_jpeg_shape_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libencode_png_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libencode_jpeg_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libdraw_bounding_box_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libdecode_image_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libdecode_bmp_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libcrop_and_resize_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libcrop_and_resize_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libcolorspace_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libcolorspace_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libattention_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libadjust_saturation_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libadjust_saturation_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libadjust_hue_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libadjust_hue_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libadjust_contrast_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libadjust_contrast_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libunary_ops_composition.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libfake_quant_ops_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libfake_quant_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/util/proto/libdescriptor_pool_registry.a
bazel-out/x64_windows-opt/bin/tensorflow/core/util/proto/liblocal_descriptor_pool_registration.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/util/proto/libdescriptors.a
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libencode_proto_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libdecode_proto_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libtensor_array_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libstage_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libsparse_conditional_accumulator_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libsession_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/librecord_input_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/librandom_shuffle_queue_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libqueue_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libpriority_queue_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libpadding_fifo_queue_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libmap_stage_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libfifo_queue_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libdynamic_stitch_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libdynamic_stitch_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libdynamic_partition_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libdynamic_partition_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libconditional_accumulator_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libconditional_accumulator_base_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libbarrier_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libcudnn_rnn_kernels.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/util/ctc/libctc_loss_calculator_lib.a
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libctc_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libcollective_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libclustering_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libload_and_remap_matrix_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libgenerate_vocab_remapping_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/librange_sampler.a
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libcandidate_sampler_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/boosted_trees/libboosted_trees_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/tensor_forest/libresources.a
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/tensor_forest/libresource_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/tensor_forest/libprediction_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/boosted_trees/libresources.a
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/boosted_trees/libtraining_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/boosted_trees/libstats_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/boosted_trees/libresource_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/boosted_trees/libquantile_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/boosted_trees/libprediction_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/batching_util/libperiodic_function_dynamic.a
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libbatch_kernels.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libspectrogram.a
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libspectrogram_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libmfcc_mel_filterbank.a
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libmfcc_dct.a
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libmfcc.a
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libmfcc_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libencode_wav_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libdecode_wav_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libwhere_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libwhere_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libunravel_index_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libunpack_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libunique_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libtranspose_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libtile_ops_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libtile_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libsplit_v_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libsplit_op.lo
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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
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/gpu/libcupti_wrapper.a
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

जिसका उपयोग मैं अपने ड्राइवर से लिंक करने के लिए कर सकता हूं।

मुझे शुभकामनाएँ दें!

ठीक है तो यह तय है ययाया!

यहाँ आउटपुट है

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 . . .

फ़ाइल TFDriver.cpp

```#शामिल करें "टेंसरफ़्लो/कोर/प्रोटोबफ़/कंट्रोल_फ़्लो.pb.h"

"टेंसरफ़्लो/कोर/प्रोटोबफ़/config.pb.h" शामिल करें

शामिल

मुख्य प्रवेश बिंदु() {
टेंसरफ़्लो :: 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

डिबग
विन32


रिहाई
विन32


डिबग
64


रिहाई
64



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



आवेदन
सच
v142
यूनिकोड


आवेदन
असत्य
v142
सच
यूनिकोड


आवेदन
सच
v142
यूनिकोड


आवेदन
असत्य
v142
सच
यूनिकोड




















सच


असत्य


सच


असत्य



स्तर 3
सच
WIN32;_DEBUG;_CONSOLE;%(प्रीप्रोसेसर परिभाषाएं)
सच


सांत्वना देना
सच




स्तर 3
सच
सच
सच
WIN32;NDEBUG;_CONSOLE;%(प्रीप्रोसेसर परिभाषाएं)
सच


सांत्वना देना
सच
सच
सच




स्तर 3
सच
_DEBUG;_CONSOLE;%(प्रीप्रोसेसर परिभाषाएं)
सच


सांत्वना देना
सच




स्तर 3
सच
सच
सच
NDEBUG;_CONSOLE;%(प्रीप्रोसेसर परिभाषाएँ)
सच
C:\Users\Administrator\dev\attempt6\tensorflow\bazel-bin\tensorflow;C:\Users\Administrator\dev\attempt6\tensorflow\bazel-bin;C:\Users\Administrator\dev\attempt6\tensorflow\bazel -टेंसरफ़्लो\बाहरी\com_google_protobuf\src;C:\Users\Administrator\dev\attempt6\tensorflow;%(AdditionalIncludeDirectories)


सांत्वना देना
सच
सच
सच
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;बाहरी\com_google_absl\absl\strings\libstrings.a
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;टेंसरफ़्लो\कोर\उपयोग\libmemmapped_file_system_proto_cc_impl.lo
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;टेंसरफ़्लो\कोर\ढांचे\libtypes_proto_cc_impl.lo
;टेंसरफ़्लो\कोर\ढांचे\libtensor_slice_proto_cc_impl.lo
;टेंसरफ़्लो\कोर\ढांचे\libtensor_shape_proto_cc_impl.lo
;टेंसरफ़्लो\कोर\ढांचे\libresource_handle_proto_cc_impl.lo
;टेंसरफ़्लो\कोर\ढांचे\libtensor_proto_cc_impl.lo
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;टेंसरफ़्लो\कोर\ढांचे\libvariable_proto_cc_impl.lo
;टेंसरफ़्लो\कोर\ढांचे\liballocation_description_proto_cc_impl.lo
;टेंसरफ़्लो\कोर\ढांचा\libtensor_description_proto_cc_impl.lo
;टेंसरफ़्लो\कोर\ढांचे\libstep_stats_proto_cc_impl.lo
;टेंसरफ़्लो\कोर\ढांचे\libattr_value_proto_cc_impl.lo
;टेंसरफ़्लो\कोर\ढांचे\libop_def_proto_cc_impl.lo
;टेंसरफ़्लो\कोर\ढांचे\libnode_def_proto_cc_impl.lo
;टेंसरफ़्लो\कोर\ढांचे\libfunction_proto_cc_impl.lo
;टेंसरफ़्लो\कोर\ढांचे\libgraph_proto_cc_impl.lo
;टेंसरफ़्लो\कोर\ढांचा\libremote_fuse_graph_execute_info_proto_cc_impl.lo
;टेंसरफ़्लो\कोर\ढांचे\libreader_base_proto_cc_impl.lo
;टेंसरफ़्लो\कोर\ढांचे\liblog_memory_proto_cc_impl.lo
;टेंसरफ़्लो\कोर\ढांचे\libkernel_def_proto_cc_impl.lo
;टेंसरफ़्लो\कोर\ढांचे\libgraph_transfer_info_proto_cc_impl.lo
;टेंसरफ़्लो\कोर\ढांचा\libdevice_attributes_proto_cc_impl.lo
;टेंसरफ़्लो\कोर\ढांचे\libcost_graph_proto_cc_impl.lo
;टेंसरफ़्लो\कोर\ढांचे\libapi_def_proto_cc_impl.lo
;टेंसरफ़्लो\कोर\उदाहरण\libexample_parser_configuration_proto_cc_impl.lo
;टेंसरफ़्लो\कोर\उदाहरण\libexample_protos_cc_impl.lo
;टेंसरफ़्लो\कोर\libcore_protos_cc_impl.lo
;टेंसरफ़्लो\कोर\ग्रैपलर\लागत\libop_performance_data_cc_impl.lo
;टेंसरफ़्लो\stream_executor\libdnn_proto_cc_impl.lo
;टेंसरफ़्लो\कोर\libconv_autotuning_proto_cc_impl.lo
;टेंसरफ़्लो\कोर\libautotuning_proto_cc_impl.lo
;externaldouble_conversion\libdouble-conversion.a
;बाहरी\zlib\libzlib.a
;बाहरी\तड़क-भड़क\libsnappy.a
;टेंसरफ़्लो\कोर\प्लेटफ़ॉर्मविंडोज़\libenv_time.a
;टेंसरफ़्लो\कोर\प्लेटफ़ॉर्म\डिफ़ॉल्ट\liblogging.a
;टेंसरफ़्लो\कोर\प्लेटफ़ॉर्म\libstr_util.a
;बाहरी\nसिंक\libnsync_cpp.a
;टेंसरफ़्लो\कोर\प्लेटफ़ॉर्म\डिफ़ॉल्ट\libmutex.a
;टेंसरफ़्लो\कोर\प्लेटफ़ॉर्म\libstringprintf.a
;टेंसरफ़्लो\कोर\प्लेटफ़ॉर्म\libnumbers.a
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;बाहरी\com_google_absl\absl\डिबगिंग\libstacktrace.a
;बाहरी\com_google_absl\absl\synchronization\libgraphcycles_internal.a
;बाहरी\com_google_absl\absl\synchronization\libsynchronization.a
;बाहरी\com_google_absl\absl\container\libashtablez_sampler.a
;बाहरी\com_google_absl\absl\container\libraw_hash_set.a
;बाहरी\com_google_absl\absl\types\libbad_variant_access.a
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;टेंसरफ़्लो\कंपाइलर\xla\सेवा\libzero_sized_hlo_elimination.a
;tensorflow\compiler\xla\service\libजबकि_लूप_एनालिसिस.ए
;tensorflow\compiler\xla\service\libजबकि_लूप_ट्रिप_काउंट_एनोटेटर.ए
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\libजबकि_लूप_सिम्पलिफायर.ए
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\libजबकि_लूप_कॉन्स्टेंट_सिंकिंग.ए
;टेंसरफ़्लो\कंपाइलर\xla\service\libtranspose_folding.a
;टेंसरफ़्लो\कंपाइलर\xla\service\libop_expander_pass.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\libstable_sort_expander.a
;टेंसरफ़्लो\कंपाइलर\xla\service\libsort_simplifier.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\libslow_operation_alarm.a
;टेंसरफ़्लो\कंपाइलर\xla\service\libslice_sinker.a
;टेंसरफ़्लो\कंपाइलर\xla\क्लाइंट\lib\libloops.a
;टेंसरफ़्लो\कंपाइलर\xla\क्लाइंट\lib\libarithmetic.a
;टेंसरफ़्लो\कंपाइलर\xla\क्लाइंट\lib\libmath.a
;टेंसरफ़्लो\कंपाइलर\xla\क्लाइंट\lib\libprng.a
;टेंसरफ़्लो\कंपाइलर\xla\service\librng_expander.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\librng_bit_generator_expander.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\libreshape_mover.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\libhlo_subcomputation_unification.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\libhlo_get_dimension_size_rewriter.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\libhlo_element_type_converter.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\libflatten_call_graph.a
;टेंसरफ़्लो\कंपाइलर\xla\service\libdynamic_index_splitter.a
;टेंसरफ़्लो\कंपाइलर\xla\service\libdot_decomposer.a
;टेंसरफ़्लो\कंपाइलर\xla\service\libdepthwise_convolution_converter.a
;टेंसरफ़्लो\कंपाइलर\xla\service\libconvolution_group_converter.a
;टेंसरफ़्लो\कंपाइलर\xla\service\libconvolution_4d_expander.a
;टेंसरफ़्लो\कंपाइलर\xla\service\libconditional_simplifier.a
;टेंसरफ़्लो\कंपाइलर\xla\service\libbatchnorm_expander.a
;टेंसरफ़्लो\कंपाइलर\xla\service\liball_reduce_combiner.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\gpu\libvariadic_op_splitter.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\gpu\libtree_reduction_rewriter.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\gpu\libstream_assignment.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\gpu\libreduction_layout_normalizer.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\gpu\libreduction_dimension_grouper.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\gpu\libreduction_degenerate_dim_remover.a
;टेंसरफ़्लो\कंपाइलर\xla\service\gpu\libpartition_assignment.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\libmulti_output_fusion.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\llvm_ir\libir_array.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\llvm_ir\libllvm_loop.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\llvm_ir\libloop_emitter.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\libelemental_ir_emitter.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\llvm_ir\libtuple_ops.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\llvm_ir\libfuse_ir_emitter.a
;टेंसरफ़्लो\कंपाइलर\xla\service\libinstruction_fusion.a
;टेंसरफ़्लो\कंपाइलर\xla\service\libfusion_node_indexing_evaluation.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\gpu\libgpu_fusible.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\gpu\libinstruction_fusion.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\gpu\libmulti_output_fusion.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\gpu\libparallel_loop_emitter.a
;टेंसरफ़्लो\कंपाइलर\xla\service\llvm_ir\libkernel_support_library.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\llvm_ir\libsort_util.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\llvm_ir\libdynamic_update_slice_util.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\llvm_ir\libbuffer_assignment_util.a
;टेंसरफ़्लो\कंपाइलर\xla\service\libcustom_call_target_registry.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\gpu\libhlo_execution_profiler.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\gpu\libgpu_executable_run_options.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\gpu\libgpu_constants.a
;टेंसरफ़्लो\कंपाइलर\xla\service\gpu\libbuffer_allocations.a
;टेंसरफ़्लो\कंपाइलर\xla\service\gpu\libthunk.a
;टेंसरफ़्लो\stream_executor\gpu\libgpu_stream.a
;टेंसरफ़्लो\stream_executor\gpu\libgpu_timer.a
;टेंसरफ़्लो\stream_executor\cuda\libcuda_kernel.a
;टेंसरफ़्लो\stream_executor\gpu\libgpu_event.a
;टेंसरफ़्लो\stream_executor\cuda\libcuda_event.a
;टेंसरफ़्लो\stream_executor\gpu\libgpu_activation.a
;टेंसरफ़्लो\stream_executor\cuda\libcuda_gpu_executor.lo
;टेंसरफ़्लो\कंपाइलर\xla\service\libcollective_ops_utils.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\gpu\libnccl_all_reduce_thunk.a
;टेंसरफ़्लो\कंपाइलर\xla\service\libtransfer_manager.a
;टेंसरफ़्लो\कंपाइलर\xla\service\gpu\liboutfeed_manager.a
;टेंसरफ़्लो\कंपाइलर\xla\service\gpu\libinfeed_manager.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\gpu\libgpu_debug_info_manager.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\gpu\libgpu_conv_runner.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\gpu\libcudnn_batchnorm_runner.a
;टेंसरफ़्लो\stream_executor\cuda\libcusolver_stub.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\gpu\libcusolver_context.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\gpu\libgpu_executable.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\gpu\libthunk_emitter.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\llvm_ir\libalias_analysis.a
;टेंसरफ़्लो\कंपाइलर\xla\service\gpu\libhlo_to_ir_bindings.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\llvm_ir\libmath_ops.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\gpu\libelemental_ir_emitter.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\gpu\libir_emitter.a
;टेंसरफ़्लो\कंपाइलर\xla\service\gpu\libhorizontal_fusion.a
;टेंसरफ़्लो\कंपाइलर\xla\service\libscatter_expander.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\gpu\libgpu_scatter_expander.a
;टेंसरफ़्लो\कंपाइलर\xla\service\gpu\libgpu_sanitize_constant_names.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\libhlo_memory_scheduler.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\gpu\libgpu_hlo_schedule.a
;टेंसरफ़्लो\कंपाइलर\xla\service\libcopy_insertion.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\gpu\libgpu_copy_insertion.a
;टेंसरफ़्लो\stream_executor\gpu\libredzone_allocator.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\gpu\libbuffer_comparator.a
;टेंसरफ़्लो\कोर\उपयोग\प्रोटो\libproto_utils.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\gpu\libgpu_autotuning_proto_cc_impl.lo
;टेंसरफ़्लो\कंपाइलर\xla\service\gpu\libhlo_algorithm_blacklist.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\gpu\libgpu_conv_algorithm_picker.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\gpu\libgemm_rewriter.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\gpu\libfusion_merger.a
;टेंसरफ़्लो\कंपाइलर\xla\service\gpu\libcudnn_pad_for_convolutions.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\gpu\libcudnn_batchnorm_rewriter.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\gpu\libalias_passthrough_params.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\gpu\libgpu_compiler.a
;टेंसरफ़्लो\कंपाइलर\xla\service\gpu\libgemm_algorithm_picker.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\gpu\libcusolver_rewriter.a
;टेंसरफ़्लो\कंपाइलर\xla\service\gpu\libcudnn_fuse_conv_rewriter.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\gpu\libcublas_gemm_pad_for_tensor_cores.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\gpu\libnvptx_compiler_impl.a
;टेंसरफ़्लो\कंपाइलर\xla\service\gpu\libnvptx_compiler.lo
;टेंसरफ़्लो\कंपाइलर\xla\service\libgeneric_transfer_manager.lo
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\gpu\libgpu_transfer_manager.lo
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\libplatform_util.a
;टेंसरफ़्लो\कंपाइलर\xla\service\libbackend.a
;टेंसरफ़्लो\कंपाइलर\xla\सेवा\libexecution_tracker.a
;टेंसरफ़्लो\कंपाइलर\xla\service\libcompilation_cache.a
;टेंसरफ़्लो\कंपाइलर\xla\service\libchannel_tracker.a
;टेंसरफ़्लो\कंपाइलर\xla\service\liballocation_tracker.a
;टेंसरफ़्लो\कंपाइलर\xla\service\libservice.lo
;टेंसरफ़्लो\stream_executor\cuda\libcurand_stub.a
;टेंसरफ़्लो\stream_executor\cuda\libcurand_plugin.lo
;टेंसरफ़्लो\stream_executor\cuda\libcufft_stub.a
;टेंसरफ़्लो\stream_executor\cuda\libcufft_plugin.lo
;टेंसरफ़्लो\stream_executor\cuda\libcudnn_stub.a
;टेंसरफ़्लो\stream_executor\cuda\libcudnn_version.a
;टेंसरफ़्लो\stream_executor\cuda\libcudnn_plugin.lo
;टेंसरफ़्लो\stream_executor\cuda\libcuda_platform.lo
;टेंसरफ़्लो\stream_executor\cuda\libcublas_stub.a
;टेंसरफ़्लो\stream_executor\cuda\libcublas_plugin.lo
;टेंसरफ़्लो\कोर\libgpu_lib.a
;टेंसरफ़्लो\कोर\liblogging_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libarray_ops_op_lib.lo
;टेंसरफ़्लो\कंपाइलर\एमएलआईआर\टेंसरफ़्लो\libmlir_passthrough_op.lo
;टेंसरफ़्लो\c\libtf_status.a
;टेंसरफ़्लो\c\libtf_datatype.lo
;टेंसरफ़्लो\c\libtf_status_helper.a
;टेंसरफ़्लो\c\libtf_tensor.a
;टेंसरफ़्लो\c\libops.lo
;टेंसरफ़्लो\c\कर्नेल्स\libbitcast_op_lib.lo
;टेंसरफ़्लो\कोर\libword2vec_ops.lo
;टेंसरफ़्लो\कोर\libuser_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libtraining_ops_op_lib.lo
;टेंसरफ़्लो\कोर\प्रोटोबफ़\tpu\libtpu_embedding_output_layout_proto_cc_impl.lo
;टेंसरफ़्लो\कोर\प्रोटोबफ़\tpu\liboptimization_parameters_proto_cc_impl.lo
;टेंसरफ़्लो\कोर\प्रोटोबफ़\tpu\libtpu_embedding_configuration_proto_cc_impl.lo
;टेंसरफ़्लो\कोर\tpu\libtpu_embedding_output_layout_utils.a
;टेंसरफ़्लो\कोर\tpu\libtpu_embedding_optimization_parameters_utils.a
;टेंसरफ़्लो\कोर\libtpu_replication_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libtpu_ordinal_selector_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libtpu_outfeed_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libtpu_infeed_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libtpu_host_compute_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libtpu_heartbeat_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libtpu_functional_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libtpu_embedding_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libtpu_cross_replica_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libtpu_configuration_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libstring_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libstateless_random_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libstate_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libspectral_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libsummary_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libsparse_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libsparse_csr_matrix_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libset_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libsendrecv_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libsdca_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libscript_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libscoped_allocator_ops_op_lib.lo
;टेंसरफ़्लो\कोर\librpc_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libresource_variable_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libremote_fuse_graph_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libstateful_random_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libspecial_math_ops_op_lib.lo
;टेंसरफ़्लो\कोर\librnn_ops_op_lib.lo
;टेंसरफ़्लो\कोर\librandom_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libragged_to_dense_util.a
;टेंसरफ़्लो\कोर\libragged_math_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libragged_conversion_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libragged_array_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libparsing_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libno_op_op_lib.lo
;टेंसरफ़्लो\कोर\libnn_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libnccl_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libmath_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libmanip_ops_op_lib.lo
;टेंसरफ़्लो\कोर\liblookup_ops_op_lib.lo
;टेंसरफ़्लो\कोर\liblist_ops_op_lib.lo
;टेंसरफ़्लो\कोर\liblinalg_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libio_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libimage_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libfunctional_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libfunction_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libexperimental_dataset_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libencode_proto_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libdecode_proto_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libdebug_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libdataset_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libdata_flow_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libcudnn_rnn_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libctc_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libcontrol_flow_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libcollective_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libclustering_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libcheckpoint_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libcandidate_sampling_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libtensor_forest_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libboosted_trees_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libbitwise_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libbatch_ops_op_lib.lo
;टेंसरफ़्लो\कोर\libaudio_ops_op_lib.lo
;टेंसरफ़्लो\कोर\कर्नेल\libsendrecv_ops.lo
;टेंसरफ़्लो\कोर\कर्नेल\libno_op.lo
;टेंसरफ़्लो\कोर\libfunctional_grad.lo
;टेंसरफ़्लो\कोर\libgraph.a
;टेंसरफ़्लो\कोर\ग्रैपलर\libutils.a
;टेंसरफ़्लो\कोर\ग्रैपलर\libop_types.a
;टेंसरफ़्लो\कोर\ग्रैपलर\बर्तन\libtransitive_fanin.a
;टेंसरफ़्लो\कोर\ग्रैपलर\libgrappler_item.a
;टेंसरफ़्लो\कोर\libcore_cpu_base_no_ops.a
;टेंसरफ़्लो\कोर\ग्रैपलर\बर्तन\libfunctions.a
;टेंसरफ़्लो\कोर\libbfc_allocator.a
;टेंसरफ़्लो\कोर\libcore_cpu_impl.lo
;टेंसरफ़्लो\कोर\ग्रैप्लर\libgraph_view.a
;टेंसरफ़्लो\कोर\ग्रैप्लर\libgraph_topology_view.a
;टेंसरफ़्लो\कोर\ग्रैपलर\बर्तन\libtopological_sort.a
;टेंसरफ़्लो\कोर\ग्रैपलर\सत्यापनकर्ता\libstruct_verifier.a
;टेंसरफ़्लो\कोर\ग्रैपलर\बर्तन\libtpu.a
;टेंसरफ़्लो\कोर\ग्रैपलर\बर्तन\libcolocation.a
;टेंसरफ़्लो\कोर\ग्रैपलर\बर्तन\libcanonicalizer.a
;टेंसरफ़्लो\कोर\libgpu_id_impl.a
;टेंसरफ़्लो\कोर\ग्रैपलर\क्लस्टर\libutils.a
;टेंसरफ़्लो\कोर\ग्रैपलर\क्लस्टर\libcluster.a
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;टेंसरफ़्लो\कोर\ग्रैपलर\libdevices.a
;टेंसरफ़्लो\कोर\ग्रैपलर\लागत\libvirtual_placer.a
;टेंसरफ़्लो\कोर\ग्रैपलर\लागत\libcost_estimator.a
;टेंसरफ़्लो\कोर\ग्रैपलर\लागत\libutils.a
;टेंसरफ़्लो\कोर\ग्रैपलर\ऑप्टिमाइज़र\libevaluation_utils.a
;टेंसरफ़्लो\कोर\ग्रैपलर\libmutable_graph_view.a
;टेंसरफ़्लो\कोर\ग्रैपलर\लागत\libgraph_properties.a
;टेंसरफ़्लो\कोर\ग्रैपलर\लागत\libvirtual_scheduler.a
;टेंसरफ़्लो\कोर\ग्रैपलर\लागत\libop_level_cost_estimator.a
;% (अतिरिक्त निर्भरता)


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












```

रिकॉर्ड के लिए फ़ाइल का आकार 1.3Mb है।

आपके समर्थन के लिए बहुत बहुत धन्यवाद, यह एक उलझी हुई समस्या थी, अब मुझे संबंधित CUDNN के साथ CUDA 9.2.1.148 के साथ MSVC 2017 के खिलाफ निर्माण पर विचार करने की आवश्यकता है यदि यह समस्याग्रस्त हो जाता है तो मैं एक नया टिकट खोलूंगा।

मैं यह देखने के लिए टेंसरफ़्लो और MSVC 2015 के पुराने संस्करण के साथ एक प्रयोग करने का प्रयास करूंगा कि क्या बेज़ल फ़िक्स अभी भी काम करता है।

CcInfo 0.19.2 bazel के बारे में नहीं जानता है

@meteorcloudy
क्या आप जानते हैं कि bazel का कौन सा संस्करण इस सुविधा का परिचय देता है और अभी भी tensorflow r1.12 को संकलित करेगा?

मैं अब आपके समाधान के साथ r1.12 का उपयोग करने में सक्षम नहीं हूं इस मुद्दे को मुझे एक नई योजना के साथ आना होगा जिसमें एमएसवीसी 2017 और आर 2.2 का उपयोग करना शामिल है।

अपका समय बर्बाद करने के लिए खेद है।

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

@samhodge खुशी है कि इससे मदद मिली!
यदि यह डीएलएल के निर्माण के लिए स्थिर पुस्तकालयों की सूची है जिसने आपको समस्या को ठीक करने में मदद की है, तो आप डीएलएल की पैरामीटर फ़ाइल से भी सूची प्राप्त कर सकते हैं ताकि आपको cc_static_library नियम की बिल्कुल भी आवश्यकता न हो।

@samhodge खुशी है कि इससे मदद मिली!
यदि यह डीएलएल के निर्माण के लिए स्थिर पुस्तकालयों की सूची है जिसने आपको समस्या को ठीक करने में मदद की है, तो आप डीएलएल की पैरामीटर फ़ाइल से भी सूची प्राप्त कर सकते हैं ताकि आपको cc_static_library नियम की बिल्कुल भी आवश्यकता न हो।

तो यह एक अच्छा विचार हो सकता है, क्या उसे अभी भी CcInfo की आवश्यकता होगी?

तो यह एक अच्छा विचार हो सकता है, क्या उसे अभी भी CcInfo की आवश्यकता होगी?

नहीं, पैरामीटर फ़ाइल मूल cc नियम द्वारा Bazel (जावा कोड में लिखित) में उत्पन्न होती है।

बहुत बढ़िया तो .lib और .a और .lo और .obj फ़ाइलें .dll के इनपुट के रूप में स्थिर लिंकिंग के लिए ठीक होंगी क्या यह स्थिति स्वतंत्र कोड होगी?

क्या आपको लगता है कि .params फ़ाइल में क्रम महत्वपूर्ण है?

बहुत बढ़िया तो .lib और .a और .lo और .obj फ़ाइलें .dll के इनपुट के रूप में स्थिर लिंकिंग के लिए ठीक होंगी क्या यह स्थिति स्वतंत्र कोड होगी?

मुझे ऐसा विश्वास है

क्या आपको लगता है कि .params फ़ाइल में क्रम महत्वपूर्ण है?

निश्चित नहीं है, लेकिन मैं पुस्तकालयों के क्रम को बनाए रखने की कोशिश करूंगा।

मैं इसे पहले से मौजूद r1.12 कलाकृतियों के साथ आज़माउंगा और देख सकता हूं कि यह अपेक्षा के अनुरूप काम करता है या नहीं।

यहाँ .params फ़ाइल है जिसके साथ मैं काम कर रहा हूँ

libtensorflow_cc.so-2.params

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bazel-out/x64_windows-opt/genfiles/external/local_config_cuda/cuda/cuda/lib/cudart.lib
/DEFAULTLIB:msvcrt.lib

@ आर्टेम-बी के मामले में उसके पास मूल मुद्दे के बारे में कोई विचार है, जो स्थिर रूप से जुड़े बाइनरी के साथ दोहरा रहा है।

अभी भी मेरी बाइनरी के लिए लिंक लक्ष्य के रूप में r1.12 कलाकृतियों के साथ काम कर रहा है। केवल खोज पथ और लिंक लक्ष्यों की संख्या से निपटने का मतलब है कि विफलता के कई अवसर हैं, मैंने अब तक उनमें से कई की खोज की है। जब मुझे सफल क्रमपरिवर्तन मिल जाएगा तो मैं आपको बता दूंगा।

रुको, प्रोटोबफ फ़ील्ड स्थिर रूप से जुड़े पुस्तकालय में समझदारी से काम कर रहे हैं, है ना? मैंने आपके द्वारा पोस्ट किए गए आउटपुट को गलत तरीके से पढ़ा।

मुझे प्रोटोबफ टीम से भी प्रतिक्रिया मिली। उन्हें संदेह है कि व्यवहार डबल लिंकिंग के कारण हो सकता है:

यह पता लगाने के लिए कि डिफ़ॉल्ट-रिक्त स्ट्रिंग फ़ील्ड सेट है या नहीं, हम जांचते हैं कि स्ट्रिंग का पता सिंगलटन खाली स्ट्रिंग के पते से मेल खाता है या नहीं। मुझे लगता है कि आप समस्याओं के साथ समाप्त हो सकते हैं यदि प्रोटोबफ रनटाइम को कई साझा पुस्तकालयों में डुप्लिकेट किया गया है क्योंकि तब इस "सिंगलटन" खाली स्ट्रिंग की कई प्रतियां हैं और हम मज़बूती से यह नहीं बता सकते हैं कि एक स्ट्रिंग फ़ील्ड सेट है या नहीं।

तो, ऐसा लगता है कि प्रोटोबफ को दो बार जोड़ने से यह बग हो सकता है। ऐसा लगता है कि स्थिर लिंकिंग समस्या को ठीक कर सकती है।
हालांकि, टीएफ के लिए, स्थिर रूप से लिंक करने के लिए लाइब्रेरी की पेशकश के साथ समस्या बाइनरी का आकार है। लेकिन ऐसा लगता है कि आप एक समाधान "एक साथ हैक" करने में सक्षम थे।

रुको, प्रोटोबफ फ़ील्ड स्थिर रूप से जुड़े पुस्तकालय में समझदारी से काम कर रहे हैं, है ना? मैंने आपके द्वारा पोस्ट किए गए आउटपुट को गलत तरीके से पढ़ा।

हां और मेरे पास मेरे मैकोज़ और मेरे सॉफ़्टवेयर के लिनक्स बिल्ड के साथ इस व्यवहार का सबूत था जो पहले से ही मेरे सभी प्रतीकों का पेस्ट बनाकर और उन्हें एक प्रतीक चिकनी में पुन: संग्रहित करके स्थिर रूप से जुड़ा हुआ है। जैसा कि यहां बताया गया है, ar का उपयोग करना:

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

लेकिन ar विंडोज 10 पर मौजूद नहीं है और कम्प्यूटेशनल खर्च के लिए link.exe का उपयोग करना विफल रहा।

तो bazel .param फाइलों के साथ कैसे काम करता है, इस बारे में विस्तार से देखने के बाद मैं देख सकता हूं कि कौन सी .a .lo .lib फाइलें MSVC 2015 के तहत स्थिर रूप से लिंक करने के लिए हैं libprotobuf.lib और libprotobuf.dll उन प्रतीकों में नहीं चलते हैं जो पहले से ही tensorflow_cc.lib और tensorflow_cc.dll में मौजूद हैं, जो कि क्या है इस टिकट पर रिपोर्ट किए गए व्यवहार का कारण बन रहा है।

एक बार जब वह संख्या शून्य हो जाती है तो मैं 36 लापता प्रतीकों के नीचे हूं, मैं परीक्षण कर सकता हूं।

मैं भूल गया था कि मेरे पास ढांचे पर भी निर्भरता है शायद वह लापता प्रतीक है

मुझे लगता है कि मुझे "बॉक्स से बाहर" स्थिर लिंकिंग की आवश्यकता है

प्रोटोकॉल बफ़र्स से लिंक किए बिना मेरा हैक किया गया समाधान ( protobuf_archive ) 3.6.0 टेंसरफ़्लो पर r1.12

मुझे निम्नलिखित लापता प्रतीकों के साथ छोड़ देता है

इस पर संपत्ति पर दांव लगाए बिना ये सभी .proto फाइलों से आते हैं

  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'"

यहाँ मेरे libs की एक सूची है

$ENV:TFLIBS1="/WHOLEARCHIVE:c/eager/libc_api.a;/WHOLEARCHIVE:core/distributed_runtime/rpc/eager/libgrpc_eager_client.a;/WHOLEARCHIVE:core/distributed_runtime/rpc/libgrpc_server_lib.lo;/WHOLEARCHIVE:core/distributed_runtime/rpc/libgrpc_master_service.lo;/WHOLEARCHIVE:core/distributed_runtime/rpc/libgrpc_master_service_impl.a;/WHOLEARCHIVE:core/distributed_runtime/liblocal_master.a;/WHOLEARCHIVE:core/distributed_runtime/libmaster.a;/WHOLEARCHIVE:core/distributed_runtime/libmaster_session.a;/WHOLEARCHIVE:core/distributed_runtime/libscheduler.a;/WHOLEARCHIVE:core/distributed_runtime/librpc_collective_executor_mgr.a;/WHOLEARCHIVE:core/distributed_runtime/libcollective_param_resolver_distributed.a;/WHOLEARCHIVE:core/distributed_runtime/libcollective_rma_distributed.a;/WHOLEARCHIVE:core/distributed_runtime/libdevice_resolver_distributed.a;/WHOLEARCHIVE:core/distributed_runtime/rpc/eager/libgrpc_eager_service_impl.a;/WHOLEARCHIVE:core/distributed_runtime/rpc/eager/libgrpc_eager_service.a;/WHOLEARCHIVE:core/distributed_runtime/eager/libeager_service_impl.a;/WHOLEARCHIVE:core/common_runtime/eager/libexecute.a;/WHOLEARCHIVE:core/common_runtime/eager/libeager_operation.a;/WHOLEARCHIVE:core/common_runtime/eager/libattr_builder.a;/WHOLEARCHIVE:core/common_runtime/eager/libtensor_handle.a;/WHOLEARCHIVE:core/common_runtime/eager/libcontext.a;/WHOLEARCHIVE:core/common_runtime/eager/libeager_executor.a;/WHOLEARCHIVE:core/common_runtime/eager/libkernel_and_device.a;/WHOLEARCHIVE:core/libeager_service_proto_cc.a;/WHOLEARCHIVE:core/distributed_runtime/rpc/libgrpc_worker_cache.a;/WHOLEARCHIVE:core/distributed_runtime/rpc/libgrpc_channel.a;/WHOLEARCHIVE:core/distributed_runtime/rpc/libgrpc_remote_worker.a;/WHOLEARCHIVE:core/distributed_runtime/libworker_cache_logger.a;/WHOLEARCHIVE:core/distributed_runtime/libworker_cache_partial.a;/WHOLEARCHIVE:core/distributed_runtime/rpc/libgrpc_worker_service.a;/WHOLEARCHIVE:core/distributed_runtime/rpc/libgrpc_tensor_coding.a;/WHOLEARCHIVE:core/distributed_runtime/rpc/libgrpc_worker_service_impl.a;/WHOLEARCHIVE:core/distributed_runtime/rpc/libgrpc_util.a;/WHOLEARCHIVE:core/distributed_runtime/librecent_request_ids.a;/WHOLEARCHIVE:core/distributed_runtime/libworker.a;/WHOLEARCHIVE:core/distributed_runtime/libpartial_run_mgr.a;/WHOLEARCHIVE:core/distributed_runtime/libsession_mgr.a;/WHOLEARCHIVE:core/distributed_runtime/rpc/librpc_rendezvous_mgr.a;/WHOLEARCHIVE:core/distributed_runtime/libbase_rendezvous_mgr.a;/WHOLEARCHIVE:core/distributed_runtime/libworker_session.a;/WHOLEARCHIVE:core/distributed_runtime/libgraph_mgr.a;/WHOLEARCHIVE:core/debug/libdebug.lo;/WHOLEARCHIVE:core/debug/libdebugger_state_impl.lo;/WHOLEARCHIVE:core/libdebug_ops_op_lib.lo;/WHOLEARCHIVE:core/kernels/libdebug_ops.lo;/WHOLEARCHIVE:core/debug/libdebug_io_utils.lo;/WHOLEARCHIVE:core/debug/libdebug_callback_registry.a;/WHOLEARCHIVE:core/debug/libdebug_node_key.a;/WHOLEARCHIVE:core/debug/libdebug_service_proto_cc.a;/WHOLEARCHIVE:core/debug/libdebugger_event_metadata_proto_cc.a;/WHOLEARCHIVE:grpc/libgrpc++.a;/WHOLEARCHIVE:grpc/libgrpc++_base.a;/WHOLEARCHIVE:grpc/libgrpc.a;/WHOLEARCHIVE:grpc/libcensus.a;/WHOLEARCHIVE:grpc/libgrpc_lb_policy_pick_first.a;/WHOLEARCHIVE:grpc/libgrpc_lb_policy_round_robin.a;/WHOLEARCHIVE:grpc/libgrpc_server_load_reporting.a;/WHOLEARCHIVE:grpc/libgrpc_max_age_filter.a;/WHOLEARCHIVE:grpc/libgrpc_message_size_filter.a;/WHOLEARCHIVE:grpc/libgrpc_resolver_dns_ares.a;/WHOLEARCHIVE:grpc/third_party/address_sorting/libaddress_sorting.a;/WHOLEARCHIVE:grpc/libgrpc_resolver_dns_native.a;/WHOLEARCHIVE:grpc/libgrpc_resolver_sockaddr.a;/WHOLEARCHIVE:grpc/libgrpc_transport_chttp2_server_insecure.a;/WHOLEARCHIVE:grpc/libgrpc_transport_inproc.a;/WHOLEARCHIVE:grpc/libgrpc_workaround_cronet_compression_filter.a;/WHOLEARCHIVE:grpc/libgrpc_server_backward_compatibility.a;/WHOLEARCHIVE:grpc/libgrpc_lb_policy_grpclb_secure.a;/WHOLEARCHIVE:grpc/libgrpc_resolver_fake.a;/WHOLEARCHIVE:grpc/libgrpc_transport_chttp2_client_secure.a;/WHOLEARCHIVE:grpc/libgrpc_transport_chttp2_server_secure.a;/WHOLEARCHIVE:grpc/libgrpc_secure.a;/WHOLEARCHIVE:grpc/libtsi.a;/WHOLEARCHIVE:grpc/libalts_frame_protector.a;/WHOLEARCHIVE:grpc/libalts_util.a;/WHOLEARCHIVE:grpc/libalts_proto.a;/WHOLEARCHIVE:grpc/libgrpc_nanopb.a;/WHOLEARCHIVE:grpc/libgrpc_transport_chttp2_client_insecure.a;/WHOLEARCHIVE:grpc/libgrpc_transport_chttp2_client_connector.a;/WHOLEARCHIVE:grpc/libgrpc_client_channel.a;/WHOLEARCHIVE:grpc/libgrpc_client_authority_filter.a;/WHOLEARCHIVE:grpc/libgrpc_deadline_filter.a;/WHOLEARCHIVE:grpc/libtsi_interface.a;/WHOLEARCHIVE:boringssl/libssl.a;/WHOLEARCHIVE:boringssl/libcrypto.a;/WHOLEARCHIVE:grpc/libgrpc_transport_chttp2_server.a;/WHOLEARCHIVE:grpc/libgrpc_transport_chttp2.a;/WHOLEARCHIVE:grpc/libgrpc_http_filters.a;/WHOLEARCHIVE:grpc/libgrpc_base.a;/WHOLEARCHIVE:grpc/libgrpc_base_c.a;/WHOLEARCHIVE:grpc/libgrpc_trace.a;/WHOLEARCHIVE:grpc/libgrpc_transport_chttp2_alpn.a;/WHOLEARCHIVE:grpc/libgpr_base.a;/WHOLEARCHIVE:grpc/libgrpc++_codege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पर आधारित

bazel-tensorflow\bazel-out\x64_windows-opt\bin\tensorflow
bazel-tensorflow\bazel-out\x64_windows-opt\bin\external खोज पथ के रूप में

यह जानकारी से आ रहा है

libtensorflow_cc.so-2.params और libtensorflow_framework.so-2.params

इसे सेट करने के लिए .vcxproj फ़ाइल का उपयोग करके यह सब कीड़े का डिब्बा बन जाता है।

वर्ण सीमा बार-बार चलन में आती है, 65K वर्ण सीमा के साथ आप हर मोड़ पर भर जाते हैं। विंडोज ऑपरेटिंग सिस्टम के 16 बिट इतिहास का जवाब देने के लिए बहुत कुछ है।

हो सकता है कि अगर मैं .obj फाइलों को सीधे .pb.cc फाइलों में जोड़ दूं जो लापता प्रतीकों को ठीक कर देगा।

@gunan @meteorcloudy @Artem-B

बस जोड़ना

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

जिन वस्तुओं को आप लिंक कर रहे हैं वे 34 लापता प्रतीकों से 164 लापता प्रतीकों तक जाती हैं।

विंडोज 10 में निम्नलिखित सी ++ कोड को चलाने के तरीके के बारे में मुझे वास्तव में एक विशेषज्ञ की मार्गदर्शिका की आवश्यकता है:

#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;


}

ऑपरेटिंग सिस्टम, कंपाइलर, बेज़ल संस्करण, CUDA संस्करण, आदि के नीचे।

यह मुद्दा r1.12 या r2.2 से अलग नहीं है यह व्यवस्थित है कि protobuf विंडोज पर लिंकिंग के साथ कैसे काम करता है।

हमारे पास स्टैटिक लिंकिंग का कोई समाधान नहीं है, लेकिन उपरोक्त कोड को सही ढंग से चलाने के लिए यह एक आवश्यकता है।

मेरा हैक किया गया समाधान MSVC 2019 r2.2 साथ सरल ड्राइवर संस्करण से आगे काम नहीं करता है

यह लिंकिंग स्क्रिप्ट .params फ़ाइल को रिकॉर्ड करने के रूप में r2.2 tensorflow_cc.dll लक्ष्य में इनपुट जोड़ने पर आधारित था

इस प्रकार libtensorflow_cc.so के तहत r1.12 के लिए इनपुट का उपयोग करना समान काम करना चाहिए, लेकिन वे .proto आधारित संकलित फाइलों के लिए लापता प्रतीकों को नहीं छोड़ते हैं।

मुझे यकीन नहीं है कि इस व्यवहार का क्या कारण है।

एक उदाहरण के रूप में यदि कोर/प्लेटफ़ॉर्म/विंडोज़/port.cc फ़ाइल में port::InitMain के लिए प्रतीक हैं, तो मैं कैसे पता लगा सकता हूं कि उस कोड के संकलित संस्करण के लिए किस आर्टिफैक्ट में प्रतीक हैं?

यह उन लापता प्रतीकों में से एक है जो गतिशील रूप से लिंक करते समय सूची में थे।

तो अगर .dll के इनपुट स्थिर रूप से लिंक होने पर हैं। यह प्रतीक क्यों गायब है?

हो सकता है कि अगर मैं इसे काम कर सकता हूं तो मैं शेष 33 लापता प्रतीकों के समान तर्क लागू कर सकता हूं

सैम

ठीक है, मैंने .params फ़ाइलों के माध्यम से $#$1 port.o #$ की तलाश में एक पुनरावर्ती grep के साथ इसका पालन किया core/platform/windows/port.cc फ़ाइल और इसे पहले libframework_internal_impl.lo और liblib_internal_impl.a में बंडल किया गया था example.obj एक .dll बनाने के लिए दोनों के खिलाफ जुड़ा हुआ है

तो प्रतीक दो बार होने चाहिए!

मेरे पास एक जिज्ञासा है /DEFAULTLIB:msvrt.lib बनाम /DEFAULTLIB:libcmt.lib

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

example.obj जो सभी TF प्रतीकों और अन्य कूल स्टफ (tm) से लिंक होने पर example.dll बना देगा। /DEFAULTLIB:libcmt.lib का उपयोग कर रहा है जबकि tensorflow_cc.dll को /DEFAULTLIB:msvc का उपयोग करके बनाया गया था

libtensorflow_cc.so-2.params.zip
ठीक है, मैंने .params फ़ाइलों के माध्यम से $#$1 port.o #$ की तलाश में एक पुनरावर्ती grep के साथ इसका पालन किया core/platform/windows/port.cc फ़ाइल और इसे पहले libframework_internal_impl.lo और liblib_internal_impl.a में बंडल किया गया था example.obj एक .dll बनाने के लिए दोनों के खिलाफ जुड़ा हुआ है

तो प्रतीक दो बार होने चाहिए!

मेरे पास एक जिज्ञासा है /DEFAULTLIB:msvrt.lib बनाम /DEFAULTLIB:libcmt.lib

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

example.obj जो सभी TF प्रतीकों और अन्य कूल स्टफ (tm) से लिंक होने पर example.dll बना देगा। /DEFAULTLIB:libcmt.lib का उपयोग कर रहा है जबकि tensorflow_cc.dll को /DEFAULTLIB:msvcrt.lib का उपयोग करके बनाया गया था, मुझे नहीं लगता कि यह मेरी सभी परेशानियों का कारण है।

लेकिन अगर हम ऐसी स्थिति में हैं जहां protobuf प्रतीकों को एक से अधिक बार शामिल किया गया है तो तथ्य यह है कि libtensorflow_cc.so में port.cc libframework_internal_impl.lo के माध्यम से और liblib_internal_impl.a के माध्यम से शामिल है मुझे पता है कि port.cc एक .proto फ़ाइल नहीं है, लेकिन अगर यह कुछ स्रोत फ़ाइलों के साथ हो रहा है तो यह दूसरों के साथ हो सकता है।

यह हैकिंग शुरू करने से पहले की बात है।

संलग्न फ़ाइल देखें, libtensorflow_cc.so-2.params.zip

@meteorcloudy @sanjoy @gunan

हमने दो चीजें स्थापित की हैं

लिंक करते समय समान प्रतीकों को दो बार शामिल करने से अनपेक्षित व्यवहार हो सकता है

Tensorflow में एक ही port.o फ़ाइल समान प्रतीकों के साथ कम से कम दो बार शामिल होती है

क्या हम सुनिश्चित कर सकते हैं कि एक बेज़ल लक्ष्य में इनपुट का एक निर्देशित एसाइक्लिक ग्राफ प्रतिनिधित्व है?

ऐसा लगता है कि लिनक्स और मैकोज़ के तहत सभी ऑब्जेक्ट फाइलों का यूनियन सेट प्राप्त करने का मेरा दृष्टिकोण इस परिणाम को प्राप्त करता है

लेकिन हमें एक .a फ़ाइल का सामना करना पड़ेगा जो 2Gb से बड़ी है और 65K वर्णों से छोटी सूचियों के माध्यम से तर्कों को खिलाने के बारे में कुछ भी नहीं कहती है

हमें कैसे आगे बढे?

सैम

एक ही प्रतीक को दो बार शामिल करने से ODR ( एक परिभाषा नियम ) का परिणाम होता है और वह है UB/त्रुटियों का खतरा।

हमारे पास TF में कई ODR उल्लंघन हैं, उन्हें पहचानने और उन्हें ठीक करने की आवश्यकता है। यह पता लगाने के लिए धन्यवाद कि port.o इसका कारण बनता है!

मुझे लगता है कि अगला निष्कर्ष .params फ़ाइलों की पुनरावर्ती खोज द्वारा सभी आवश्यक ऑब्जेक्ट फ़ाइलों के संघ के आकार को खोजने के लिए होगा, फिर एन फैक्टोरियल से कम जटिलता के साथ एक लिंकिंग रणनीति बनाएं जो मेरा आखिरी प्रयास छह घंटे के समय के बाद विफल रहा बाहर

फिर देखें कि क्या अंतिम लिंकेज 2GB से कम है

मैं अनुमान लगा रहा हूं कि यह एक परीक्षण योग्य बाइनरी परिणाम है, फ़ाइल का आकार 2Gb से अधिक या कम होगा

सैम

शायद एक बेवकूफ सवाल के लिए खेद है, लेकिन "अंतिम" कौन सा समाधान है?
मेरे पास सी ++ में विंडोज़ पर डिवाइस प्लेसमेंट के साथ समस्याएं हैं (मूल रूप से किसी विशेष जीपीयू पर कुछ भी विश्वसनीय रूप से नहीं रखा जा सकता है, यदि कई टेंसरफ्लो चलाने के लिए पर्याप्त सक्षम हैं), जिसे मैंने GPU 0 के साथ काम करने के लिए options.config.mutable_gpu_options()->set_visible_device_list("0"); के साथ हल करने का प्रयास किया।

हालांकि, इससे दुर्घटना होती है: 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

मैंने सोचा था कि इस त्रुटि का इस धागे में वर्णित के साथ कुछ लेना-देना हो सकता है, क्योंकि मेरे लिए visible_device_list और उदाहरण के लिए allocator_type के संकेत भी समान हैं, संभवतः बाद में पार्सिंग त्रुटियों की ओर अग्रसर हैं .

इसके आसपास नेविगेट करने के किसी भी तरीके की सराहना की जाती है!

मैं आपकी भलाई की कामना करता हूं।

समाधान दो मुद्दों से अवरुद्ध है।

DLL को गतिशील रूप से लिंक नहीं किया जा सकता है क्योंकि lib protobuf के प्रतीक Tensorflow के प्रतीकों के साथ ओवरलैप हो जाएंगे

स्टेटिकली लिंकिंग एक ऑब्जेक्ट फ़ाइल प्रतीक संग्रह की ओर जाता है जो 2Gb . से बड़ा होता है

तो जबकि यह है

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

मुझे लगता है कि स्थिर संग्रह बनाने के लिए obj फ़ाइल में सभी प्रतीकों को जमा करने में कई घंटे लग सकते हैं।

यह मदद कर सकता है

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