Tensorflow: Windows C++ tensorflow_cc.dll에는 "할당자 유형" 및 "표시 장치 목록"에 대한 문자열 GPU 옵션 간에 메모리 주소가 겹칩니다.

에 만든 2020년 05월 12일 · 140코멘트 · 출처: tensorflow/tensorflow

이것이 버그인지 확인하십시오.

태그:버그_템플릿

시스템 정보

사용자 지정 코드를 작성했습니까(TensorFlow에서 제공되는 기본 예제 스크립트 사용과 반대): 예
OS 플랫폼 및 배포(예: Linux Ubuntu 16.04): Windows 10
모바일 장치(예: iPhone 8, Pixel 2, Samsung Galaxy): 문제가 모바일 장치에서 발생하는 경우: 해당 사항 없음
(소스 또는 바이너리)에서 설치된 TensorFlow: 소스
TensorFlow 버전(아래 명령 사용): 5b900cfe4b3b848f577315a0dde09a729f770e95에서 분기된 1.12.0
파이썬 버전: NA
Bazel 버전(소스에서 컴파일하는 경우): 0.19.2
GCC/컴파일러 버전(소스에서 컴파일하는 경우): MSVC 2015
CUDA/cuDNN 버전: 10.0.130, 9.2.148
GPU 모델 및 메모리: NVIDIA GP100 16Gb

환경 캡처를 사용하여 이 정보 중 일부를 수집할 수 있습니다.
스크립트
다음을 사용하여 TensorFlow 버전을 얻을 수도 있습니다.
없음

현재 행동 설명

원본 코드에서 다음과 같이 세션으로 만들고 있습니다.

   std::unique_ptr<tensorflow::Session>* session;
   tensorflow::SessionOptions options;
   tensorflow::ConfigProto* config = &options.config;
   float fraction =0.8;
   int whichGPU = 0;
   int cuda_device_count=1;
   tensorflow::GraphDef graph_def;
   tensorflow::status = tensorflow::ReadBinaryProto(tensorflow::Env::Default(), "C:\\\models\\graph.pb", &graph_def);
   auto* device_count = options.config.mutable_device_count();
   device_count->insert({ "GPU", cuda_device_count });
   device_count->insert({ "CPU", 1 });
   options.config.mutable_gpu_options()->set_per_process_gpu_memory_fraction(fraction);
   options.config.mutable_gpu_options()->set_visible_device_list(std::to_string(whichGPU));
   session->reset(tensorflow::NewSession(options));
  (*session)->Create(graph_def);

그 결과

    70 2020-05-12 09:41:28.214176: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1432] 
    Found device 0 with properties: 
   71 name: Quadro GP100 major: 6 minor: 0 memoryClockRate(GHz): 1.4425
   72 pciBusID: 0000:01:00.0
   73 totalMemory: 16.00GiB freeMemory: 13.28GiB
   74 2020-05-12 09:41:28.215329: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] 
Adding visible gpu devices: 0
   75 2020-05-12 09:41:28.952392: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix:
   76 2020-05-12 09:41:28.952785: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988]      0 
   77 2020-05-12 09:41:28.953095: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0:   N 
    78 2020-05-12 09:41:28.953962: E tensorflow/core/common_runtime/gpu/gpu_process_state.cc:106] Invalid allocator type: 0
   79 2020-05-12 09:41:28.954425: E tensorflow/core/common_runtime/session.cc:64] Failed to create session: Internal: Failed to get memory allocator for TF GPU 0 with 6899999744 bytes of memory.

예상되는 동작 설명

세션은 사용 가능한 메모리의 80%만 사용하여 GPU 0에서 생성되고 실행됩니다.

문제를 재현하기 위한 독립 실행형 코드

#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

}

기타 정보/로그

다음 문제를 참조하십시오.
https://github.com/tensorflow/tensorflow/issues/16291
https://github.com/fo40225/tensorflow-windows-wheel/issues/39

다음과 같이 tensorflow.dll을 빌드했습니다.

$ ENV:USE_BAZEL_VERSION= "0.19.2"
$ ENV:PYTHON_BIN_PATH=C :\ProgramData\Anaconda3\python.exe
$ ENV:경로 += ";C:\msys64\usr\bin"
$ ENV:경로 += ";C:\Program Files\NVIDIA GPU 컴퓨팅 툴킷CUDA\v9.2\bin"
$ ENV:경로 += ";C:\Program Files\NVIDIA GPU 컴퓨팅 툴킷CUDA\v9.2\extrasCUPTI\libx64"
$ ENV:경로 += ";C:\Program Files\NVIDIA GPU 컴퓨팅 툴킷CUDA\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 컴퓨팅 툴킷CUDA\v9.2\"
$ ENV:TF_CUDA_VERSION= "9.2"
$ ENV:CUDNN_INSTALL_PATH= "C:\Program Files\NVIDIA GPU 컴퓨팅 툴킷CUDA\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",""
항목 제거 - 재귀 - 강제 "C:\Windows\system32config\systemprofile_bazel_SYSTEMinstall\75b09cf1ac98c0ffb0534079b30efcc4"
cmd /c "에코 Y" | & python.exe @params
bazel.exe clean --expunge
bazel.exe 빌드 --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=작은 ,medium --jobs=12 //t ensorflow:libtensorflow_cc.so //t ensorflow:libtensorflow_framework.so

다음 파일이 수정되었습니다.

이내에

텐서플로/빌드

`"//tensorflow:windows": [],`

된다

"//tensorflow:windows": [
            "-def:" +  # This line must be directly followed by the exported_symbols_msvc.lds file
            "$(location //tensorflow:tf_exported_symbols_msvc.lds)",
        ],

그리고 안에
tf_cc_shared_object tensorflow/BUILD 의 기능

    visibility = ["//visibility:public"],
    deps = [
        "//tensorflow:tf_exported_symbols.lds",
        "//tensorflow:tf_version_script.lds",
        "//tensorflow/c:c_api",
        "//tensorflow/c/eager:c_api",

된다

    visibility = ["//visibility:public"],
    deps = [
        "//tensorflow:tf_exported_symbols.lds",
        "//tensorflow:tf_exported_symbols_msvc.lds",
        "//tensorflow:tf_version_script.lds",
        "//tensorflow/c:c_api",
        "//tensorflow/c/eager:c_api",

tf_exported_symbols_msvc.lds 의 내용은

LIBRARY tensorflow_cc
EXPORTS
    ??0MetaGraphDef@tensorflow@@QEAA<strong i="31">@XZ</strong>
    ??1MetaGraphDef@tensorflow@@UEAA<strong i="32">@XZ</strong>
    ??0LogMessageFatal@internal@tensorflow@@QEAA@PEBDH<strong i="33">@Z</strong>
    ??1LogMessageFatal@internal@tensorflow@@UEAA<strong i="34">@XZ</strong>
    ??0CheckOpMessageBuilder@internal@tensorflow@@QEAA@PEBD<strong i="35">@Z</strong>
    ??1CheckOpMessageBuilder@internal@tensorflow@@QEAA<strong i="36">@XZ</strong>
    ?ForVar2@CheckOpMessageBuilder@internal@tensorflow@@QEAAPEAV?$basic_ostream@DU?$char_traits@D@std@@@std@<strong i="37">@XZ</strong>
    ?NewString@CheckOpMessageBuilder@internal@tensorflow@@QEAAPEAV?$basic_string@DU?$char_traits@D@std@@V?$allocator@D@2@@std@<strong i="38">@XZ</strong>
    ?GetVarint32PtrFallback@core@tensorflow@@YAPEBDPEBD0PEAI<strong i="39">@Z</strong>
    ?SlowCopyFrom@Status@tensorflow@@AEAAXPEBUState@12@<strong i="40">@Z</strong>
    ?_GraphDef_default_instance_@tensorflow@@3VGraphDefDefaultTypeInternal@1<strong i="41">@A</strong>
    ?NewSession@tensorflow@@YA?AVStatus@1@AEBUSessionOptions@1@PEAPEAVSession@1@<strong i="42">@Z</strong>
    ?InitMain@port@tensorflow@@YAXPEBDPEAHPEAPEAPEAD<strong i="43">@Z</strong>
    ?FastUInt64ToBufferLeft@strings@tensorflow@@YA_K_KPEAD<strong i="44">@Z</strong>
    ?StrCat@strings@tensorflow@@YA?AV?$basic_string@DU?$char_traits@D@std@@V?$allocator@D@2@@std@@AEBVAlphaNum@12@<strong i="45">@Z</strong>
    ?empty_string@Status@tensorflow@@CAAEBV?$basic_string@DU?$char_traits@D@std@@V?$allocator@D@2@@std@<strong i="46">@XZ</strong>
    ?NewSession@tensorflow@@YAPEAVSession@1@AEBUSessionOptions@1@<strong i="47">@Z</strong>
    ?InternalSwap@ConfigProto@tensorflow@@AEAAXPEAV12@<strong i="48">@Z</strong>
    ?CopyFrom@ConfigProto@tensorflow@@QEAAXAEBV12@<strong i="49">@Z</strong>
    ??0ConfigProto@tensorflow@@QEAA<strong i="50">@XZ</strong>
    ?DebugString@TensorShapeRep@tensorflow@@QEBA?AV?$basic_string@DU?$char_traits@D@std@@V?$allocator@D@2@@std@<strong i="51">@XZ</strong>
    ??6tensorflow@@YAAEAV?$basic_ostream@DU?$char_traits@D@std@@@std@@AEAV12@AEBVStatus@0@<strong i="52">@Z</strong>
    ??0Status@tensorflow@@QEAA@W4Code@error@1@Vstring_view@absl@@<strong i="53">@Z</strong>
    ?StrCat@strings@tensorflow@@YA?AV?$basic_string@DU?$char_traits@D@std@@V?$allocator@D@2@@std@@AEBVAlphaNum@12@00<strong i="54">@Z</strong>
    ??0SessionOptions@tensorflow@@QEAA<strong i="55">@XZ</strong>
    ??1ConfigProto@tensorflow@@UEAA<strong i="56">@XZ</strong>
    ?ReadBinaryProto@tensorflow@@YA?AVStatus@1@PEAVEnv@1@AEBV?$basic_string@DU?$char_traits@D@std@@V?$allocator@D@2@@std@@PEAVMessageLite@protobuf@google@@<strong i="57">@Z</strong>
    ?Default@Env@tensorflow@@SAPEAV12<strong i="58">@XZ</strong>
    ?CheckIsAlignedAndSingleElement@Tensor@tensorflow@<strong i="59">@AEBAXXZ</strong>
    ?_SaverDef_default_instance_@tensorflow@@3VSaverDefDefaultTypeInternal@1<strong i="60">@A</strong>
    ?CheckTypeAndIsAligned@Tensor@tensorflow@@AEBAXW4DataType@2@<strong i="61">@Z</strong>
    ??1Tensor@tensorflow@@QEAA<strong i="62">@XZ</strong>
    ??0Tensor@tensorflow@@QEAA@W4DataType@1@AEBVTensorShape@1@<strong i="63">@Z</strong>
    ??0?$TensorShapeBase@VTensorShape@tensorflow@@@tensorflow@@QEAA<strong i="64">@XZ</strong>
    ??0?$TensorShapeBase@VTensorShape@tensorflow@@@tensorflow@@QEAA@V?$Span@$$CB_J@absl@@<strong i="65">@Z</strong>
    ?DestructorOutOfLine@TensorShapeRep@tensorflow@<strong i="66">@AEAAXXZ</strong>
    ?TfCheckOpHelperOutOfLine@tensorflow@@YAPEAV?$basic_string@DU?$char_traits@D@std@@V?$allocator@D@2@@std@@AEBVStatus@1@PEBD<strong i="67">@Z</strong>
    ?SlowCopyFrom@TensorShapeRep@tensorflow@@AEAAXAEBV12@<strong i="68">@Z</strong>
    ?dim_size@?$TensorShapeBase@VTensorShape@tensorflow@@@tensorflow@@QEBA_JH<strong i="69">@Z</strong>
    ?CheckDimsEqual@TensorShape@tensorflow@@AEBAXH<strong i="70">@Z</strong>
    ?CheckDimsAtLeast@TensorShape@tensorflow@@AEBAXH<strong i="71">@Z</strong>
    ??0Tensor@tensorflow@@QEAA<strong i="72">@XZ</strong>
    ??0GraphDef@tensorflow@@QEAA<strong i="73">@XZ</strong>
    ??1GraphDef@tensorflow@@UEAA<strong i="74">@XZ</strong>
    ?CheckType@Tensor@tensorflow@@AEBAXW4DataType@2@<strong i="75">@Z</strong>
    ??1NodeDef@tensorflow@@UEAA<strong i="76">@XZ</strong>
    ??0NodeDef@tensorflow@@QEAA@AEBV01@<strong i="77">@Z</strong>
    ?DEVICE_CPU@tensorflow@<strong i="78">@3QEBDEB</strong>
    ?DEVICE_GPU@tensorflow@<strong i="79">@3QEBDEB</strong>
    ?DEVICE_SYCL@tensorflow@<strong i="80">@3QEBDEB</strong>
    ?ThenBlasGemm@Stream@stream_executor@@QEAAAEAV12@W4Transpose@blas@2@0_K11MAEBV?$DeviceMemory@M@2@H2HMPEAV52@H<strong i="81">@Z</strong>
    ?kDatasetGraphKey@DatasetBase@data@tensorflow@<strong i="82">@2QBDB</strong>
    ??0?$TensorShapeBase@VTensorShape@tensorflow@@@tensorflow@@QEAA@V?$Span@$$CB_J@absl@@<strong i="83">@Z</strong>
    ??0?$TensorShapeBase@VTensorShape@tensorflow@@@tensorflow@@QEAA<strong i="84">@XZ</strong>
    ??0CheckOpMessageBuilder@internal@tensorflow@@QEAA@PEBD<strong i="85">@Z</strong>
    ??0GraphDef@tensorflow@@QEAA<strong i="86">@XZ</strong>
    ??0LogMessageFatal@internal@tensorflow@@QEAA@PEBDH<strong i="87">@Z</strong>
    ??0MetaGraphDef@tensorflow@@QEAA<strong i="88">@XZ</strong>
    ??0SessionOptions@tensorflow@@QEAA<strong i="89">@XZ</strong>
    ??0Tensor@tensorflow@@QEAA@W4DataType@1@AEBVTensorShape@1@<strong i="90">@Z</strong>
    ?DebugString@Tensor@tensorflow@@QEBA?AV?$basic_string@DU?$char_traits@D@std@@V?$allocator@D@2@@std@<strong i="91">@XZ</strong>
    ?Default@Env@tensorflow@@SAPEAV12<strong i="92">@XZ</strong>
    ?DestructorOutOfLine@TensorShapeRep@tensorflow@<strong i="93">@AEAAXXZ</strong>
    ?ForVar2@CheckOpMessageBuilder@internal@tensorflow@@QEAAPEAV?$basic_ostream@DU?$char_traits@D@std@@@std@<strong i="94">@XZ</strong>
    ?GetVarint32PtrFallback@core@tensorflow@@YAPEBDPEBD0PEAI<strong i="95">@Z</strong>
    ?SlowCopyFrom@TensorShapeRep@tensorflow@@AEAAXAEBV12@<strong i="96">@Z</strong>
    ?TfCheckOpHelperOutOfLine@tensorflow@@YAPEAV?$basic_string@DU?$char_traits@D@std@@V?$allocator@D@2@@std@@AEBVStatus@1@PEBD<strong i="97">@Z</strong>
    ?ThenBlasGemm@Stream@stream_executor@@QEAAAEAV12@W4Transpose@blas@2@0_K11MAEBV?$DeviceMemory@M@2@H2HMPEAV52@H<strong i="98">@Z</strong>
    ?ToString@Status@tensorflow@@QEBA?AV?$basic_string@DU?$char_traits@D@std@@V?$allocator@D@2@@std@<strong i="99">@XZ</strong>
    ??0Tensor@tensorflow@@QEAA<strong i="100">@XZ</strong>
    ??1CheckOpMessageBuilder@internal@tensorflow@@QEAA<strong i="101">@XZ</strong>
    ??1ConfigProto@tensorflow@@UEAA<strong i="102">@XZ</strong>
    ??1LogMessageFatal@internal@tensorflow@@UEAA<strong i="103">@XZ</strong>
    ??1NodeDef@tensorflow@@UEAA<strong i="104">@XZ</strong>
    ??1Tensor@tensorflow@@QEAA<strong i="105">@XZ</strong>
    ?CheckDimsAtLeast@TensorShape@tensorflow@@AEBAXH<strong i="106">@Z</strong>
    ?CheckDimsEqual@TensorShape@tensorflow@@AEBAXH<strong i="107">@Z</strong>
    ?CheckIsAlignedAndSingleElement@Tensor@tensorflow@<strong i="108">@AEBAXXZ</strong>
    ?CheckTypeAndIsAligned@Tensor@tensorflow@@AEBAXW4DataType@2@<strong i="109">@Z</strong>
    ?CopyFromInternal@Tensor@tensorflow@@AEAAXAEBV12@AEBVTensorShape@2@<strong i="110">@Z</strong>
    ?_GraphDef_default_instance_@tensorflow@@3VGraphDefDefaultTypeInternal@1<strong i="111">@A</strong>
    ?dim_size@?$TensorShapeBase@VTensorShape@tensorflow@@@tensorflow@@QEBA_JH<strong i="112">@Z</strong>
    ?DebugString@Tensor@tensorflow@@QEBA?AV?$basic_string@DU?$char_traits@D@std@@V?$allocator@D@2@@std@<strong i="113">@XZ</strong>
    ?StrCat@strings@tensorflow@@YA?AV?$basic_string@DU?$char_traits@D@std@@V?$allocator@D@2@@std@@AEBVAlphaNum@12@0<strong i="114">@Z</strong>
    ?CopyFrom@GraphDef@tensorflow@@QEAAXAEBV12@<strong i="115">@Z</strong>
    ??_7ConfigProto@tensorflow@@6B@
    ??$CreateMaybeMessage@VGPUOptions@tensorflow@@$$V@Arena@protobuf@google@@CAPEAVGPUOptions@tensorflow@@PEAV012@<strong i="116">@Z</strong>
    ??0GraphDef@tensorflow@@QEAA@AEBV01@<strong i="117">@Z</strong>
    ?fixed_address_empty_string@internal@protobuf@google@@3V?$ExplicitlyConstructed@V?$basic_string@DU?$char_traits@D@std@@V?$allocator@D@2@@std@@@123<strong i="118">@A</strong>

에 의해 문서화됨
https://github.com/tensorflow/tensorflow/issues/22047#issuecomment -421452033

내 소프트웨어는 https://mirror.bazel.build/github.com/google/protobuf/archive/v3.6.0.tar.gz 의 libprotobuf.lib 에 연결되어 있습니다.

로 구축

cmake -G "Visual Studio 14 2015 Win64"  .. -DCMAKE_INSTALL_PREFIX="%current%\protobuf-3.6.0" -Dprotobuf_BUILD_TESTS=OFF -Dprotobuf_BUILD_SHARED_LIBS=ON -Dprotobuf_MSVC_STATIC_RUNTIME=OFF
cmake --build . --target install --config Release -- /maxcpucount:12

나는 또한 tensorflow\tf_version_script.lds 를 포함하도록 편집하려고 시도했습니다.

*protobuf*

#include "tensorflow/core/platform/macros.h" TF_EXPORT 매크로도 시도했습니다.

~에
tensorflow/core/public/session_options.h
그리고
tensorflow/core/common_runtime/session_options.cc

에서 제안한 대로
https://github.com/sitting-duck/stuff/tree/master/ai/tensorflow/build_tensorflow_1.14_source_for_Windows

확인하는 방법에 대한 제안 사항이 있습니까?

할당자 유형 및 표시되는 장치 목록에 대한 GPU 옵션은 동일한 메모리를 공유하지 않지만 Windows 아래에 여전히 모놀리식 DLL이 있습니까?

TF 1.12 gpu runtime performance

출처

kognat-docs

가장 유용한 댓글

OK이므로 수정되었습니다. YAYAYAYA!

여기 출력이 있습니다

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 . . .

파일 TFDriver.cpp

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

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

포함하다

정수 메인() {
텐서플로::GPU옵션 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

디버그
Win32

풀어 주다
Win32

디버그
x64

풀어 주다
x64

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

애플리케이션
진실
v142
유니코드

애플리케이션
거짓
v142
진실
유니코드

애플리케이션
진실
v142
유니코드

애플리케이션
거짓
v142
진실
유니코드

진실

거짓

진실

거짓

레벨3
진실
WIN32;_DEBUG;_CONSOLE;%(전처리기 정의)
진실

콘솔
진실

레벨3
진실
진실
진실
WIN32;NDEBUG;_CONSOLE;%(전처리기 정의)
진실

콘솔
진실
진실
진실

레벨3
진실
_DEBUG;_CONSOLE;%(전처리기 정의)
진실

콘솔
진실

레벨3
진실
진실
진실
NDEBUG;_CONSOLE;%(전처리기 정의)
진실
C:\Users\Administrator\dev\attempt6\tensorflow\bazel-bin\tensorflow;C:\Users\Administrator\dev\attempt6\tensorflow\bazel-bin;C:\Users\Administrator\dev\attempt6\tensorflow\bazel -tensorflow\external\com_google_protobuf\src;C:\Users\Administrator\dev\attempt6\tensorflow;%(AdditionalIncludeDirectories)

콘솔
진실
진실
진실
외부\com_google_absl\absl\numeric\libint128.a
;external\com_google_absl\abslbase\libspinlock_wait.a
;external\com_google_absl\abslbase\libdynamic_annotations.a
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;external\com_google_absl\absl\types\libbad_optional_access.a
;external\com_google_protobuf\libprotobuf_lite.a
;external\com_google_protobuf\libprotobuf.lo
;tensorflow\core\profiler\protobuf\libxplane_proto_cc_impl.lo
;tensorflow\core\util\libtest_log_proto_impl_cc_impl.lo
;tensorflow\core\util\libmemmapped_file_system_proto_cc_impl.lo
;tensorflow\core\framework\libversions_proto_cc_impl.lo
;tensorflow\core\framework\libtypes_proto_cc_impl.lo
;tensorflow\core\framework\libtensor_slice_proto_cc_impl.lo
;tensorflow\core\framework\libtensor_shape_proto_cc_impl.lo
;tensorflow\core\framework\libresource_handle_proto_cc_impl.lo
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;tensorflow\core\util\libsaved_tensor_slice_proto_cc_impl.lo
;tensorflow\core\framework\libsummary_proto_cc_impl.lo
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;tensorflow\core\liberror_codes_proto_impl_cc_impl.lo
;tensorflow\core\lib\core\liberror_codes_proto_cc_impl.lo
;tensorflow\core\framework\libvariable_proto_cc_impl.lo
;tensorflow\core\framework\liballocation_description_proto_cc_impl.lo
;tensorflow\core\framework\libtensor_description_proto_cc_impl.lo
;tensorflow\core\framework\libstep_stats_proto_cc_impl.lo
;tensorflow\core\framework\libattr_value_proto_cc_impl.lo
;tensorflow\core\framework\libop_def_proto_cc_impl.lo
;tensorflow\core\framework\libnode_def_proto_cc_impl.lo
;tensorflow\core\framework\libfunction_proto_cc_impl.lo
;tensorflow\core\framework\libgraph_proto_cc_impl.lo
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;externaldouble_conversion\libdouble-conversion.a
;외부\zlib\libzlib.a
;외부\snappy\libsnappy.a
;tensorflow\core\platformwindows\libenv_time.a
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;외부\nsync\libnsync_cpp.a
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;외부\fft2d\libfft2d.a
;외부\farmhash_archive\libfarmhash.a
;외부\libjpeg_turbo\libsimd_win_x86_64.a
;외부\libjpeg_turbo\libjpeg.a
;외부\gif\libgif.a
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;tensorflow\stream_executor\liballocator_stats.a
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;tensorflow\stream_executor\platform\default\libdso_loader.a
;tensorflow\stream_executor\cuda\libcuda_stub.a
;tensorflow\stream_executor\cuda\libcudart_stub.a
;tensorflow\stream_executor\rocm\librocm_platform_id.a
;tensorflow\stream_executorhost\libhost_platform_id.a
;tensorflow\stream_executor\libmulti_platform_manager.a
;tensorflow\stream_executor\libexecutor_cache.a
;tensorflow\stream_executor\libdnn.a
;tensorflow\stream_executor\libblas.a
;tensorflow\stream_executor\libplugin_registry.a
;tensorflow\stream_executor\libkernel_spec.a
;tensorflow\stream_executor\libkernel.a
;tensorflow\stream_executor\libdevice_description.a
;tensorflow\stream_executor\libstream_executor_internal.a
;tensorflow\stream_executor\libtimer.a
;tensorflow\stream_executor\libtemporary_device_memory.a
;tensorflow\stream_executor\libtemporary_memory_manager.a
;tensorflow\stream_executor\librng.a
;tensorflow\stream_executor\libevent.a
;tensorflow\stream_executor\libstream_executor_pimpl.a
;tensorflow\stream_executorhost\libhost_timer.a
;tensorflow\stream_executorhost\libhost_stream.a
;tensorflow\stream_executorhost\libhost_gpu_executor.lo
;tensorflow\stream_executorhost\libhost_platform.lo
;tensorflow\stream_executor\cuda\libcuda_platform_id.a
;tensorflow\stream_executor\libscratch_allocator.a
;external\com_google_absl\absl\debugging\libleak_check.a
;tensorflow\stream_executor\cuda\libcuda_diagnostics.a
;tensorflow\stream_executor\cuda\libcuda_driver.a
;tensorflow\core\platform\default\libcuda_libdevice_path.a
;tensorflow\stream_executor\gpu\libasm_compiler.a
;tensorflow\core\profiler\internal\libtraceme_recorder_impl.lo
;외부\llvm-project\llvm\libdemangle.a
;외부\llvm-project\llvm\libsupport.a
;외부\llvm-project\llvm\libbitstream_reader.a
;외부\llvm-project\llvm\libremarks.a
;외부\llvm-project\llvm\libbinary_format.a
;외부\llvm-프로젝트\llvm\libcore.a
;외부\llvm-project\llvm\libprofile_data.a
;외부\llvm-project\llvm\libtext_api.a
;외부\llvm-project\llvm\libdebug_info_msf.a
;외부\llvm-project\llvm\libdebug_info_code_view.a
;외부\llvm-프로젝트\llvm\libmc.a
;외부\llvm-project\llvm\libmc_parser.a
;외부\llvm-project\llvm\libbit_reader.a
;외부\llvm-project\llvm\libobject.a
;외부\llvm-project\llvm\libanalysis.a
;외부\llvm-project\llvm\libtransform_utils.a
;외부\llvm-project\llvm\libtarget.a
;텐서플로우\컴파일러\xla\libxla_data_proto_cc_impl.lo
;tensorflow\compiler\xla\service\libhlo_proto_cc_impl.lo
;텐서플로우\컴파일러\xla\libxla_proto_cc_impl.lo
;tensorflow\compiler\xla\libstatus_macros.a
;텐서플로우\컴파일러\xla\libutil.a
;tensorflow\compiler\xla\libprotobuf_util.a
;tensorflow\compiler\xla\libshape_util.a
;tensorflow\compiler\xla\libshape_layout.a
;external\com_google_absl\absl\flags\libmarshalling.a
;external\com_google_absl\absl\flags\libinternal.a
;external\com_google_absl\absl\flags\libconfig.a
;external\com_google_absl\absl\flags\libhandle.a
;external\com_google_absl\absl\flags\libregistry.a
;external\com_google_absl\absl\flags\libflag.a
;텐서플로우\컴파일러\xla\libarray.a
;텐서플로우\컴파일러\xla\libliteral.a
;tensorflow\compiler\xla\service\libcomputation_placer.lo
;tensorflow\compiler\xla\service\libcomputation_layout.a
;tensorflow\compiler\xla\service\libhlo_module_config.a
;tensorflow\compiler\xla\service\cpu\libcpu_options.a
;tensorflow\compiler\xla\service\libname_uniquer.a
;tensorflow\core\platform\default\libhuman_readable_json.a
;텐서플로우\컴파일러\xla\libwindow_util.a
;텐서플로우\컴파일러\xla\libliteral_util.a
;텐서플로우\컴파일러\xla\libcomparison_util.a
;tensorflow\compiler\xla\service\libhlo.a
;tensorflow\compiler\xla\service\libshape_inference.a
;tensorflow\compiler\xla\service\libhlo_module_group.a
;tensorflow\compiler\xla\service\libhlo_verifier.a
;텐서플로우\컴파일러\xla\service\libbuffer_value.a
;tensorflow\compiler\xla\service\liblogical_buffer.a
;tensorflow\compiler\xla\service\liblogical_buffer_analysis.a
;tensorflow\compiler\xla\service\libhlo_value.a
;tensorflow\compiler\xla\service\libcall_graph.a
;tensorflow\compiler\xla\service\libhlo_dataflow_analysis.a
;tensorflow\compiler\xla\service\libtuple_points_to_analysis.a
;텐서플로우\컴파일러\jit\libcommon.a
;tensorflow\core\framework\libtensor_shape.lo
;tensorflow\core\framework\libresource_handle.lo
;tensorflow\core\framework\libbfloat16.lo
;tensorflow\core\framework\liballocator_registry_impl.lo
;tensorflow\core\framework\liballocator.lo
;tensorflow\core\framework\libtensor.lo
;tensorflow\core\util\libtensor_format.a
;tensorflow\core\util\libstats_calculator_portable.a
;tensorflow\core\util\libport.lo
;tensorflow\core\util\libpadding.a
;tensorflow\core\util\libeinsum_op_util.a
;tensorflow\core\profiler\internal\libannotation_stack_impl.lo
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;tensorflow\core\framework\libop_def_builder.a
;tensorflow\core\framework\libop.a
;tensorflow\core\framework\libnode_properties.a
;tensorflow\core\framework\libcommon_shape_fns.a
;tensorflow\core\util\libversion_info.lo
;tensorflow\core\example\libfeature_util.lo
;tensorflow\core\libframework_internal_impl.lo
;tensorflow\compiler\xla\libparse_flags_from_env.a
;tensorflow\compiler\xla\libdebug_options_flags.a
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;tensorflow\compiler\xla\service\libhlo_graph_dumper.lo
;tensorflow\compiler\xla\service\libdump.a
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;외부\llvm-project\llvm\libinst_combine.a
;외부\llvm-project\llvm\libaggressive_inst_combine.a
;외부\llvm-project\llvm\libscalar.a
;외부\llvm-project\llvm\libobjc_arc.a
;외부\llvm-project\llvm\libvectorize.a
;외부\llvm-project\llvm\libinstrumentation.a
;외부\llvm-project\llvm\libbit_writer.a
;외부\llvm-project\llvm\libcode_gen.a
;외부\llvm-project\llvm\libselection_dag.a
;외부\llvm-project\llvm\libnvptx_info.a
;외부\llvm-프로젝트\llvm\libnvptx_desc.a
;외부\llvm-project\llvm\liblinker.a
;외부\llvm-project\llvm\libasm_parser.a
;외부\llvm-project\llvm\libir_reader.a
;외부\llvm-project\llvm\libfrontend_open_mp.a
;외부\llvm-project\llvm\libipo.a
;외부\llvm-project\llvm\libdebug_info_dwarf.a
;외부\llvm-project\llvm\libasm_printer.a
;외부\llvm-project\llvm\libnvptx_code_gen.a
;외부\llvm-project\llvm\libmir_parser.a
;외부\llvm-project\llvm\libglobal_i_sel.a
;외부\llvm-프로젝트\llvm\libamdgpu_utils.a
;외부\llvm-프로젝트\llvm\libamdgpu_info.a
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;%(추가 종속성)

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

```

samhodge 에 2020년 06월 17일

👍2 🚀1 ❤1 🎉1

모든 140 댓글

따라서 분명히 컴파일 및 연결 문제입니다. 이러한 속성은 동일한 protobuf 메시지의 일부입니다.

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

따라서 그들이 다루는 기호는 같은 이름을 갖게 됩니다.

어느 것이

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

컴파일 프로세스가 위의 .cc 파일에 있는 메시지와 동일한 protobuf 기호에 대해 다른 메모리 주소를 어떻게 지정할 수 있습니까?

samhodge 에 2020년 05월 12일

유사한 문제 언급:
https://github.com/tensorflow/tensorflow/issues/23542

kognat-docs 에 2020년 05월 13일

위에서 언급한 이 config.proto 파일의 개체 파일은 어디에 있습니까?

나는 찾을 수 있었다

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

tensorflow.dll 에서 기호를 노출하는 대신 이에 대해 링크를 시도할 수 있습니다.

그러나 나는 아직 그 파일에서 심볼 덤프를 수행하여

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

kognat-docs 에 2020년 05월 13일

다음은 희망의 또 다른 표시입니다.

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

kognat-docs 에 2020년 05월 13일

@ttdd11 @Steroes @ZhuoranLyu @brantl @sitting-duck 이전에 이 문제에 가까이 있었던 사람들을 언급합니다.

kognat-docs 에 2020년 05월 13일

좋아 여기있다

내 지속적인 통합 테스트에서

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

main.cpp 입니다.

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

}

이제 이 두 가지가 서로 겹치지 않도록 어떻게든 작동하게 할 수 있는지 알아보겠습니다.

kognat-docs 에 2020년 05월 14일

누가 나에게 어떻게 설명 할 수 있습니까?

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

같은 메모리 비트에서 두 개의 std::string.c_str() 가 되나요?

protobuf 및 bazel 프로세스를 특히 잘 이해하지 못합니다.

kognat-docs 에 2020년 05월 14일

config.pb.h config.pb.cc 의 내용은 다음과 같습니다.
config.pb.h.zip
config.pb.cc.zip

.\tensorflow-r1.12\bazel-genfiles\tensorflow\core\protobuf 에서 찾았습니다.

첨부된 .zip 파일에서

kognat-docs 에 2020년 05월 14일

다음은 .\tensorflow-r1.12\bazel-genfiles\tensorflow\core\protobuf의 control_flow.pb.h 및 control_flow.pb.cc .\tensorflow-r1.12\bazel-genfiles\tensorflow\core\protobuf 입니다.

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

kognat-docs 에 2020년 05월 14일

Linux에서 동일한 코드를 사용하는 정적 버전의 tensorflow에 있는 동일한 코드는 동일한 주소를 공유하지 않습니다.

samhodge 에 2020년 05월 15일

@sanjoy 추가 정보가 필요한 경우 내가 하는 모든 작업은 CI 환경에서 반복 가능한 스크립트에 의해 트리거됩니다. 이것은 룰렛 프로세스가 아니라 반복 가능한 프로세스입니다.

samhodge 에 2020년 05월 15일

👍1

@gunan 이거 작업하시는 분 계신가요?

samhodge 에 2020년 05월 19일

최신 버전에서 문제가 발생합니까?
1.12는 확실히 지원 기간을 벗어났습니다. 1.15에서 이것을 탐색할 수 있지만 현실적으로는 마스터 또는 2.2가 제가 가장 도움이 될 것입니다.

gunan 에 2020년 05월 20일

@gunan

시도할 수 있지만 r1.12+에는 AVX, AVX2 및 SSE4를 지원하고 싶었던 일부 레거시 하드웨어보다 더 현대적인 하드웨어 지침이 필요합니다.

다른 사람들이 1.15에 보고한 것으로 생각되는 클라우드 상자에서 빌드를 수행할 수 있는지 확인하겠습니다. 완전히 새로운 빌드 플랫폼을 시작하기 전에 먼저 해당 참조를 찾을 수 있는지 확인할 것입니다.

샘

samhodge 에 2020년 05월 21일

나는 그 말을 듣고 놀랐다. 소스에서 빌드하는 경우 고급 지침 세트 없이 빌드할 수 있어야 합니다. 문제가 발생하면 기꺼이 도와드리겠습니다(다른 문제를 만들 수 있음).

gunan 에 2020년 05월 21일

r1.12에서도 nasm 및 OpenSSL에 대한 해결 방법이 있어야 합니다. 다음 주에 r1.15에서 오류를 재현할 수 있는지 확인하겠습니다.

samhodge 에 2020년 05월 22일

최신 버전에서 문제가 발생합니까?
1.12는 확실히 지원 기간을 벗어났습니다. 1.15에서 이것을 탐색할 수 있지만 현실적으로는 마스터 또는 2.2가 제가 가장 도움이 될 것입니다.

나는 1.15.3에서 같은 일을 겪고 있습니다. https://github.com/tensorflow/tensorflow/issues/16291#issuecomment -573886148과 같은 다른 것들도 마찬가지입니다.

j-sarge 에 2020년 05월 28일

죄송합니다. 1.15 또는 1.14로 빌드할 시간이 없었습니다. 오늘 시간이 허용되는지 확인하겠습니다.

samhodge 에 2020년 06월 02일

나는 현재 구축 중입니다.

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

문제가 있는지 확인하려면 다음을 수행하십시오.

도구 체인은 Windows 2019 Datacenter Edition을 실행하는 AWS의 T4 상자에서 패치 및 bash용 CUDA 9.2.1.148 CUDNN 7.0.5.56 MSVC 2015 Community용 bazelisk Win 64, Anaconda Python 3, MSYS2입니다.

    - $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

다음이 있는 곳

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

samhodge 에 2020년 06월 02일

이제 드라이버를 빌드하고 문제가 있는지 확인하기 위해 빌드가 성공적으로 완료되었습니다.

samhodge 에 2020년 06월 02일

6시간 후 결과는 r1.14의 r1.12와 동일합니다.

samhodge 에 2020년 06월 02일

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>

samhodge 에 2020년 06월 02일

또한

tensorflow_cc.lib 는 알 수 없는 이유로 libtensorflow_cc.dll.ifso 로 불립니다.

하지만 이전의 protobuf 3.7.1과 기존 nsync 및 abseil-cpp를 사용했습니다.

samhodge 에 2020년 06월 02일

건물에서

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

r1.15.1 입니다.

samhodge 에 2020년 06월 02일

컴파일 실패

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.

에 대한 유일한 변경 사항

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

위에서 언급한 r1.14 파일은 다음과 같습니다.

사용할 베이즐 버전이 r1.15 에 대해 언급되지 않았습니다.

보다:

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

bazel 0.26.1 로 휠을 한 번 더 돌려보고 개선되는지 확인하겠습니다.

samhodge 에 2020년 06월 02일

@gunan

'바젤 0.26.1'과 동일

타겟을 구축하는 방법에 대한 명확한 지침을 제공할 수 있다면 r1.15의 버그를 시연하게 되어 기쁩니다.

tensorflow_cc.dll

문서에는 테스트된 이 버전이 포함되어 있지 않습니다.

bazel 버전을 사용하기 위한 MSVC 버전에 대한 권장 사항이 없습니다.

샘

samhodge 에 2020년 06월 02일

@sanjoy @gunan
이것은 2019년 2월에 보고되었습니다.

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

여전히 r1.14에 있습니다.

버그가 여전히 r2.2에 존재할 것이라고 상상할 수 있습니다.

다른 사람이 나를 대신해 확인할 수 있습니까?

samhodge 에 2020년 06월 02일

쇼와 함께 OK

다음과 같이 tensorflow_cc.dll 만들기

48개의 코어와 4개의 T4 Turing 카드가 있는 AWS T4 상자의 Powershell에서

다음이 설치된 상태에서

pacman을 통한 패치가 있는 msys2
C++용 MSVC 2015 커뮤니티 에디션
아나콘다 파이썬 3
Win 64용 Baselisk
CUDA 툴킷 9.2.1.148
CUDNN 7.0.5.56

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

여기서 build-tf.ps1은 다음과 같습니다.

$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

결과를 기다리고 CMake를 통해 abseil, nsync 및 protobuf를 빌드하여 드라이버에 대해 빌드하겠습니다.

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

}

다음과 유사하게 구축됩니다.

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;

다음은 workspace.bzl에서 protobuf의 위치입니다.

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

필요한 경우 abseil-cpp 및 nsync가 필요한지 확인할 수 있습니다.

samhodge 에 2020년 06월 04일

그 끝이 좋지 않았다

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

그래서 MSVC 2019를 설치하고 다시 시도합니다.

samhodge 에 2020년 06월 04일

@gunan 누군가 이것을 조사하게 할 수 있습니까? 이 프로젝트에 Windows 및 C++에 대한 유지 관리를 위한 충분한 리소스가 있습니까?

이것은 내 시간을 낭비하고 있습니다

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

samhodge 에 2020년 06월 04일

MSVC 2015에서 마스터로 다시 시도

samhodge 에 2020년 06월 04일

다음은 마스터 a7d8140e60d351d25ee3ba8236d8badf975dcada의 오류입니다.

MSVC 2015 사용

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.

samhodge 에 2020년 06월 04일

다음과 같이 MSVC 2019로 반복

4개의 T4 Turing 카드와 48개의 가상 코어, 190Gb RAM 및 MS Server 2019가 포함된 AWS

아나콘다 기반 파이썬
패치, 펄, 배시용 MSYS2
MSVC 2019 커뮤니티 에디션
Win64 바젤리스크

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

단계:

파워쉘 열기
소스 buildenv.ps1
자식 클론 텐서플로 URL
자식 체크 아웃 r2.2
소스 build-tf.ps1

.tf_configure.bazelrc.zip

bazel 구성이 연결되어 성공 또는 실패를 보고합니다.

samhodge 에 2020년 06월 04일

우리는 확실히 윈도우 전문가가 부족합니다.
TF에는 C++14가 필요하므로 msvc 2015로 빌드하면 작동하지 않습니다.

나는 여전히 "할당자 유형"과 "보이는 장치 목록"에 대한 문자열 GPU 옵션 간에 메모리 주소가 겹치는 것이 의미하는 바를 구문 분석하려고 노력 중입니다.
한 필드를 설정하고 다른 필드가 실수로 변경된다는 것을 의미합니까?

그렇다면 재생산은 매우 간접적입니다. 귀하의 재생산 코드에서 visible_device_list를 설정하기 전과 후에 동일한 필드를 인쇄할 수 있습니까?
그렇지 않으면, 다른 원인 중 하나는 단순히 GPU에 사용 가능한 메모리의 80%가 없을 수 있기 때문일 수 있습니다.

또한 t ensorflow:GpuOptions 는 간단한 프로토콜 버퍼입니다. libprotobuf를 별도로 빌드하고 사용하려고 하는 것을 보았습니다. 현재 그 워크플로는 엄격하게 지원되지 않으며 이것이 프로토콜 버퍼의 손상을 일으킬 수 있다고 매우 의심됩니다.

gunan 에 2020년 06월 04일

다음은 CUDA 9.2.1.148 및 MSVC 2019의 결과입니다.

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

이제 킥킥거리며 MSVC 2017을 실행하고 더 나아가면 CUDA Toolkit 9.2.1.148이 호환성을 위한 요구 사항인지 확인합니다.

samhodge 에 2020년 06월 04일

나는 여전히 "할당자 유형"과 "보이는 장치 목록"에 대한 문자열 GPU 옵션 간에 메모리 주소가 겹치는 것이 의미하는 바를 구문 분석하려고 노력 중입니다.
한 필드를 설정하고 다른 필드가 실수로 변경된다는 것을 의미합니까?

예, 이것이 내 말의 의미입니다. 이것이 구걸에서 명확하지 않은 경우 죄송합니다.

드라이버가 명확하다고 생각하는 것을 더 잘 보여주기 위해 드라이버를 수정할 수 있습니까?

그렇다면 재생산은 매우 간접적입니다. 귀하의 재생산 코드에서 visible_device_list를 설정하기 전과 후에 동일한 필드를 인쇄할 수 있습니까?

예, 지금 r1.14에서 그렇게 할 수 있습니다.

그렇지 않으면, 다른 원인 중 하나는 단순히 GPU에 사용 가능한 메모리의 80%가 없을 수 있기 때문일 수 있습니다.

또한 t ensorflow:GpuOptions 는 간단한 프로토콜 버퍼입니다. libprotobuf를 별도로 빌드하고 사용하려고 하는 것을 보았습니다. 현재 그 워크플로는 엄격하게 지원되지 않으며 이것이 프로토콜 버퍼의 손상을 일으킬 수 있다고 매우 의심됩니다.

지원되는 워크플로는 무엇입니까?

Tensorflow에는 protobuf 기호가 없습니다.

samhodge 에 2020년 06월 04일

불행히도 우리가 볼 수 있는 한 Windows에서 작동하도록 하는 유일한 신뢰할 수 있는 방법은 TF를 정적으로 연결하는 것이었습니다. Protobuf는 실제로 TF에 완전히 연결되어 있지만 Windows에서 계속 ~64K 기호 제한에 도달하기 때문에 많은 기호가 숨겨져 있습니다. 우리는 API를 개선하기 위해 노력하고 있지만 나중에 창 지원을 추가하고 제한된 실험에서 필요한 만큼만 노출했기 때문에 API 표면에서 많은 기호가 누락되었습니다. 우리는 함께 협력하여 일부 기호를 노출하거나 일부 로컬 수정/패치를 제안하여 프로젝트가 Windows에서 작동하도록 할 수 있습니다.

전에 말했듯이 우리는 창에 대한 경험이 매우 제한적이어서 많은 기능이 부족합니다. 또한 이 문제에 대해 분명히 경험하셨듯이 들어오는 문제를 처리하기 위해 고군분투하고 있습니다. 정말 죄송합니다. 나는 당신이 본 몇 가지 문제를 시도하기 위해 작업 공간을 설정하려고합니다. libtensorflow_cc의 깨끗한 빌드로 시작한 다음, 본 protobuf 문제를 살펴보겠습니다.

그동안 다음 코드의 출력을 공유해 주시면 저에게 큰 도움이 될 것입니다. 내가 말했듯이 이것은 protobuf 기호이며 protobuf 팀과 함께 Windows에서 유사한 문제를 본 적이 있는지 확인할 것입니다.

#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;

}

gunan 에 2020년 06월 04일

네 시간 내주셔서 감사합니다.

main.cpp 부터

#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


}

나는 다음과 같은 출력을 얻는다

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

더 잘 설명하지 못해 죄송합니다.

samhodge 에 2020년 06월 04일

다음은 코드의 출력입니다.

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

samhodge 에 2020년 06월 04일

따라서 r1.12의 .lds 파일을 통해 빌드 시 기호를 노출하는 방법을 알고 있습니다.

tensorflow_cc.dll 에서 protobuf에 대한 누락된 기호를 찾는 방법

어둠 속에서 찔리는 일이 많은 것 같습니다.

samhodge 에 2020년 06월 04일

TF에 정적으로 링크하면 기쁠 것입니다.

어떻게 하면 좋을까요?

samhodge 에 2020년 06월 04일

현재로서는 가장 좋은 방법은 bazel을 사용하는 것입니다.
작업 영역을 만들고 작업 영역 종속성으로 TF를 추가할 수 있습니다.
그런 다음 bazel 종속성으로 TF 라이브러리에 의존할 수 있습니다.

내 컴퓨터에서도 귀하의 예를 테스트하겠습니다. 또한 protobuf 팀에 연락하여 응답을 기다리고 있습니다.

gunan 에 2020년 06월 04일

플러그인으로 사용할 최종 바이너리에 연결하는 데 필요한 모든 .lib 파일을 단순히 에코하기 위해 스카이락을 사용하는 방법이 있습니까?

빌드 체인의 bazel에 종속성을 추가하면 나머지 빌드 프로세스와 호환되지 않을 수 있습니다.

samhodge 에 2020년 06월 04일

그러기 위해서는 베이즐 전문가의 도움이 필요합니다.
@hlopko @r4nt @meteorcloudy dll 또는 cc_library를 빌드한 후 lib 파일에 액세스할 수 있는 방법이 있습니까?

또한 방금 로컬에서 빌드했는데 cuda 없이 MSVC 2019 Professional을 사용하여 빌드할 수 있었습니다. CUDA로 다시 시도합니다.

gunan 에 2020년 06월 04일

그건 그렇고, 내 클라이언트를 마스터 분기에서 다음 커밋과 동기화했습니다. e19e2d29d562724ead9e60e1ba4c4ffd91a0eb7a

다음 두 명령 모두 사용 가능한 최신 버전인 MSVC 2019 Professional로 TF를 빌드할 수 있었습니다. MSVC 커뮤니티는 동일한 결과를 산출해야 합니다.

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

gunan 에 2020년 06월 04일

@gunan 어떤 CUDA와 CUDNN을 사용하셨나요? 저는 Blackmagic Design Compatibility를 위해 CUDA 9.2.1.148 및 CUDNN 7.0.5.56에 고정되어 있습니다. cudnn64_7.dll이 경로에 있고 저는 그들의 시스템에 대한 플러그인이기 때문입니다.

samhodge 에 2020년 06월 04일

@hlopko @r4nt @meteorcloudy dll 또는 cc_library를 빌드한 후 lib 파일에 액세스할 수 있는 방법이 있습니까?

예, 명령줄에서 --output_groups=interface_library 를 통해 LIB 파일(라이브러리 가져오기)을 가져오거나 파일 그룹 규칙을 사용하여 BUILD 파일에서 가져올 수 있습니다.
예,

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

그런 다음 나중에 cc_import 규칙에서 이 LIB 파일을 사용할 수 있습니다.
이 예를 확인하십시오: https://github.com/bazelbuild/bazel/blob/master/examples/windows/dll/windows_dll_library.bzl

meteorcloudy 에 2020년 06월 04일

나는 내일 이것을 실험할 것이다.

설명 감사합니다. 아직 이해가 잘 안되지만 제 별/하늘 종달새는 제한적입니다.

그러나 의도는 이것을 문서로 격리하여 TF 빌드가 존재하면 ZIP 파일에서 bazel-genfiles의 아티팩트를 가져오고 각 .lib 파일을 가리켜 내 TF 플러그인에 정적으로 연결할 수 있도록 하는 것입니다. 몇 가지 다른 라이브러리와 연결되어 있습니다.

헤더 및 .lib 파일을 가리키는 MSVC 프로젝트만 CMake 또는 bazel을 통한 간접 참조는 현재 없습니다.

bazel은 훌륭하지만 Google 이외의 프로젝트에서 처음부터 구현하려면 아직 극복하지 못한 약간의 스핀업이 필요할 수 있습니다.

samhodge 에 2020년 06월 04일

그건 그렇고, 나는 마스터 브랜치에서 다음 커밋과 클라이언트를 동기화했습니다: e19e2d2
다음 두 명령 모두 사용 가능한 최신 버전인 MSVC 2019 Professional로 TF를 빌드할 수 있었습니다. MSVC 커뮤니티는 동일한 결과를 산출해야 합니다.
bazel build --config=cuda --config=short_logs -c opt tensorflow:tensorflow_cc
bazel build --config=short_logs -c opt tensorflow:tensorflow_cc

당신이 나에게 준 그 운전자에게 무슨 일이 일어 났는지 테스트 할 수 있습니까?

samhodge 에 2020년 06월 04일

@sanjoy @gunan

애들레이드의 밝고 푸른 하늘 아침부터 좋은 아침입니다.

다음 문서를 살펴보았습니다.
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

이제 내 의도는 Windows에서 tensorflow_cc_static.lib 를 빌드하는 것입니다. 이 기호에는 내 응용 프로그램의 공유 라이브러리( rotobot.ofx )에 정적으로 연결하기 위한 모든 기호가 있습니다. 즉, 더 이상 연결할 필요가 없습니다. tensorflow_cc.dll 및 (lib)protobuf.dll 및 모든 65K 기호 제한은 과거의 일이 될 것입니다.

내 전략에 장애물이 있습니까?

samhodge 에 2020년 06월 05일

나의 최근 실패

CUDA 10.2 및 CUDNN 7.6.5.32 사용

~와 함께

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

이 명령문 없이 다시 시도하고 컴파일되는지 확인합니다.

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

samhodge 에 2020년 06월 05일

편집: 이 동작은 CUDA Toolkit 10.2에서 예상되며, 10.2는 CUDA Toolkit 9.2.1.148이 MSVC 2019용 nvcc를 지원하지 않기 때문에 9.2로 업데이트되었습니다. MSVC 2017은 TF 2.0에 필요한 C++14를 지원할 수 있습니다.

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

CUDA COMPUTE 3.5 및 3.7은 더 이상 사용되지 않으므로 T4 기반 Turing 카드의 경우 렌더링을 취소하고 7.0으로 고정해야 하지만 Turing 기반 카드가 없는 광범위한 최종 사용자에게는 적합하지 않습니다.

이제 CUDA 컴퓨팅 3.5,7.0으로 설정되어 컴파일되는지 확인할 수 있습니다.

samhodge 에 2020년 06월 05일

MSVC 15(2017) 및 CUDA Toolkit 9.2.1.148은 C++ 언어 지원을 제공하면서 최대 7.0 및 3.5까지의 컴퓨팅 기능을 제공합니다.

samhodge 에 2020년 06월 05일

7a7207f3b6이 나에게 준다

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

에서

git clone tensorflow URL
cd tensorflow
cp ..\*.ps1
. .\buildenv.ps1
. .\build-tf.ps1

48개의 코어가 있는 2019 t4 서버의 현재 위치

Anaconda Python, 패치 및 perl 및 bash용 MSYS2, CUDA 10.2 CUDNN 7.6.5.32

buildenv.ps1 은(는)

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 은(는)

$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

이것은 예상된 동작입니까?

samhodge 에 2020년 06월 05일

r2.2로 반복하겠습니다.

samhodge 에 2020년 06월 05일

2b96f3662b 완료.

samhodge 에 2020년 06월 05일

r2.2의 tensorflow\BUILD 파일이 첨부되어 있습니다.

빌드.zip

로 구축되고 있는

. .\buildenv.ps1
. .\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 에 대한 편집은

다섯 줄 추가

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

```

samhodge 에 2020년 06월 05일

내 컴퓨터에 cuda 10.1이 있으므로 시도해 보았습니다. 따라서 cuda 버전의 차이로 인해 발생할 수 있습니다.
귀하의 의견 중 일부는 cuda 9.2를 언급하고 일부는 10.2를 언급하는 것을 봅니다.
10.2로 빌드가 성공한 것 같습니까?

gunan 에 2020년 06월 05일

@hlopko @r4nt @meteorcloudy dll 또는 cc_library를 빌드한 후 lib 파일에 액세스할 수 있는 방법이 있습니까?
예, 명령줄에서 --output_groups=interface_library 를 통해 LIB 파일(라이브러리 가져오기)을 가져오거나 파일 그룹 규칙을 사용하여 BUILD 파일에서 가져올 수 있습니다.
예,
    filegroup(
        name = import_lib_name,
        srcs = ["my_dll_target"],
        output_group = "interface_library",
    )
그런 다음 나중에 cc_import 규칙에서 이 LIB 파일을 사용할 수 있습니다.
이 예를 확인하십시오: https://github.com/bazelbuild/bazel/blob/master/examples/windows/dll/windows_dll_library.bzl

예, 이것은 이미 거기에 있던 파일을 만듭니다.

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

tensorflow_cc.dll 파일이 320Mb인 반면에 39M입니다.

필요한 것은 tensorflow_cc.lib의 정적 버전으로, 여기에는 추론이나 훈련 또는 tensorflow_cc.dll 가 제공하는 모든 것을 수행하기 위한 모든 기호가 있습니다.

protobuf에 대한 기호가 노출되지 않아 통신에 오류가 있다고 생각합니다. tensorflow_cc.dll 엔티티에 있는 모든 기호의 정적 아카이브 .lib 에 정적으로 연결할 수 있어야 합니다. tensorflow_cc.dll 헤더 파일과 -L tensorflow_cc_static.lib 는 모든 기호를 제공합니다.

samhodge 에 2020년 06월 05일

내 컴퓨터에 cuda 10.1이 있으므로 시도해 보았습니다. 따라서 cuda 버전의 차이로 인해 발생할 수 있습니다.
귀하의 의견 중 일부는 cuda 9.2를 언급하고 일부는 10.2를 언급하는 것을 봅니다.
10.2로 빌드가 성공한 것 같습니까?

네 성공했습니다.

samhodge 에 2020년 06월 05일

다시 시도

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

samhodge 에 2020년 06월 05일

그리고 우리는 여기에서 원을 그리며 가고 있습니다: @meteorcloudy

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

samhodge 에 2020년 06월 05일

빌딩 //tensorflow:tensorflow_cc_static.lib 의 결과는 다음과 같습니다.

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

아카이브에 저장하기 위해 위의 파일 그룹에 의해 캡처된 대로 입력을 tensorflow_cc.dll 로 가져오는 방법은 무엇입니까?

samhodge 에 2020년 06월 05일

나는 이것에 몰래

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
)

전이 연결 문제에 부딪힐 수도 있다고 생각합니다.

samhodge 에 2020년 06월 05일

위는 노가다

로 노력

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"]),
)

samhodge 에 2020년 06월 05일

위의 작업을 수행하려면 tensorflow_framework도 가져와야 한다고 생각하지만 버블링을 통해 어떤 일이 발생하는지 확인하겠습니다.

samhodge 에 2020년 06월 05일

또한 동적으로 연결하려는 경우 tensorflow_cc.lib 에 대한 규칙이 있음을 알았습니다. @gunan 은 이 문제에 대한 해결책이 아니라 tensorflow_cc.dll 의 정적 버전을 얻는 것이 제안합니다. bazel에서 제공하지만 작동하지 않을 것 같습니다. 1시간 동안 계속 시도해 보겠습니다.

samhodge 에 2020년 06월 05일

이제 .파일이 많이 있습니다.

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

Linux에서 .a 파일과 같이 링크할 수 있고 내 기호는 "거기에" 있을 것이라고 가정합니다.

나는 하나의 큰 것을 바랐고, 나는 계속 시도할 것이다.

samhodge 에 2020년 06월 05일

어쩌면 나는 내가 생각하는 것보다 덜 멍청하다
@hlopko @meteorcloudy

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

어쨌든 filegroup 에서 bazel-bin에 복사된 .a 파일의 와일드 카드를 만들려면

samhodge 에 2020년 06월 05일

tensorflow/BUILD 의 끝에 이것을 추가하고 싶습니다

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"],
)

//tensorflow:tensorflow_cc_static 건물이 작동해야 합니다.

samhodge 에 2020년 06월 05일

어쨌든 파일 그룹의 bazel-bin에 복사된 .a 파일의 와일드 카드를 만드는 경우

@oquenchil 은 우리의 C++ 전문가입니다! Starlark에서 모든 전이 객체 파일 또는 .a 파일을 수집하는 방법은 무엇입니까?

meteorcloudy 에 2020년 06월 05일

C++ Starlark API를 사용하여 모든 전이적 lib 파일을 수집할 수 있다고 생각합니다.
https://docs.bazel.build/versions/master/skylark/lib/CcInfo.html
관련 문제: https://github.com/bazelbuild/bazel/issues/1920

meteorcloudy 에 2020년 06월 05일

나는 bazel에 그늘을 드리우려고 하지 않습니다. 그것은 실제로 대부분의 일을 꽤 잘합니다. 그러나 많은 CMake 프로젝트에서 -DBUILD_SHARED_LIBS=0을 추가하기만 하면 정적 아카이브가 표시됩니다. 이 기능은 2016년에 요청되었습니다. 저는 Python glob을 사용하고 매쉬하여 정적 연결이 이 문제를 해결할 수 있는지 확인할 수 있다고 생각합니다.

samhodge 에 2020년 06월 05일

Python을 사용하여 관련 .a 파일을 조합할 수 있었습니다.

파이썬은 꽤 간단했다

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))

결과는 장대한 파일 목록입니다.

C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\c\libcheckpoint_reader.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\c\libkernels.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\c\libtf_status.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\c\libtf_status_helper.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\c\libtf_tensor.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\libcc_op_gen_main.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\libclient_session.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\libconst_op.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\libgradients.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\libgrad_op_registry.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\libops.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\libscope.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\libwhile_loop.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\libbfc_allocator.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\libcore_cpu_base_no_ops.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\libgif_internal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\libgpu_bfc_allocator.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\libgpu_id_impl.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\libgpu_lib.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\libgraph.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\libjpeg_internal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\libragged_to_dense_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\liballocator_stats.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libblas.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libdevice_description.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libdnn.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libevent.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libexecutor_cache.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libkernel.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libkernel_spec.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libmulti_platform_manager.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libplatform.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libplugin.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libplugin_registry.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\librng.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libscratch_allocator.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libstream_executor_internal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libstream_executor_pimpl.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libtemporary_device_memory.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libtemporary_memory_manager.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libtf_allocator_adapter.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libtimer.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\profiler\libprofiler.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\saved_model\libreader.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libcommon.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libcompilability_check_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libcompilation_passes.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libdevice_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libencapsulate_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libflags.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libresource_operation_safety_analysis.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libshape_inference.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libshape_inference_helpers.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libxla_activity_listener.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libxla_cluster_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libxla_compilation_cache.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libxla_device_no_jit_rewrite_registration.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libxla_launch_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libxla_tensor.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libcommon.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libfrontend_attributes_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libfunctionalize_cond.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libfunctionalize_control_flow.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libfunctionalize_control_flow_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libfunctionalize_while.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\librearrange_function_argument.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libresource_operation_table.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libsharding_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libside_effect_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libtf2xla_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libarray.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libcomparison_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libcpu_function_runtime.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libdebug_options_flags.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libexecutable_run_options.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libexecution_options_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libliteral.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libliteral_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libmetric_table_report.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libparse_flags_from_env.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libprotobuf_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libshape_layout.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libshape_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libstatus_macros.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libutil.a
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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

따라서 아무 것도 연결하지 않으면 누락 된 기호입니다.

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 ==========

다음을 추가한 후

C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\c\libcheckpoint_reader.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\c\libkernels.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\c\libtf_status.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\c\libtf_status_helper.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\c\libtf_tensor.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\libcc_op_gen_main.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\libclient_session.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\libconst_op.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\libgradients.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\libgrad_op_registry.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\libops.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\libscope.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\libwhile_loop.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\libbfc_allocator.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\libcore_cpu_base_no_ops.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\libgif_internal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\libgpu_bfc_allocator.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\libgpu_id_impl.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\libgpu_lib.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\libgraph.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\libjpeg_internal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\libragged_to_dense_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\liballocator_stats.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libblas.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libdevice_description.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libdnn.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libevent.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libexecutor_cache.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libkernel.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libkernel_spec.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libmulti_platform_manager.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libplatform.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libplugin.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libplugin_registry.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\librng.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libscratch_allocator.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libstream_executor_internal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libstream_executor_pimpl.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libtemporary_device_memory.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libtemporary_memory_manager.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libtf_allocator_adapter.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libtimer.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\profiler\libprofiler.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\saved_model\libreader.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libcommon.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libcompilability_check_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libcompilation_passes.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libdevice_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libencapsulate_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libflags.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libresource_operation_safety_analysis.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libshape_inference.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libshape_inference_helpers.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libxla_activity_listener.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libxla_cluster_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libxla_compilation_cache.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libxla_device_no_jit_rewrite_registration.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libxla_launch_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libxla_tensor.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libcommon.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libfrontend_attributes_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libfunctionalize_cond.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libfunctionalize_control_flow.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libfunctionalize_control_flow_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libfunctionalize_while.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\librearrange_function_argument.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libresource_operation_table.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libsharding_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libside_effect_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libtf2xla_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libarray.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libcomparison_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libcpu_function_runtime.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libdebug_options_flags.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libexecutable_run_options.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libexecution_options_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libliteral.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libliteral_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libmetric_table_report.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libparse_flags_from_env.a
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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

다음 기호가 누락되었습니다.

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.

컴파일한 결과입니다

#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 2019와 함께

다음 프로젝트.

<?xml version="1.0" encoding="utf-8"?>
<Project DefaultTargets="Build" xmlns="http://schemas.microsoft.com/developer/msbuild/2003">
  <ItemGroup Label="ProjectConfigurations">
    <ProjectConfiguration Include="Debug|Win32">
      <Configuration>Debug</Configuration>
      <Platform>Win32</Platform>
    </ProjectConfiguration>
    <ProjectConfiguration Include="Release|Win32">
      <Configuration>Release</Configuration>
      <Platform>Win32</Platform>
    </ProjectConfiguration>
    <ProjectConfiguration Include="Debug|x64">
      <Configuration>Debug</Configuration>
      <Platform>x64</Platform>
    </ProjectConfiguration>
    <ProjectConfiguration Include="Release|x64">
      <Configuration>Release</Configuration>
      <Platform>x64</Platform>
    </ProjectConfiguration>
  </ItemGroup>
  <PropertyGroup Label="Globals">
    <VCProjectVersion>16.0</VCProjectVersion>
    <Keyword>Win32Proj</Keyword>
    <ProjectGuid>{15645cc9-98bf-42cf-a46f-13601b0520cc}</ProjectGuid>
    <RootNamespace>ConsoleApplication1</RootNamespace>
    <WindowsTargetPlatformVersion>10.0</WindowsTargetPlatformVersion>
  </PropertyGroup>
  <Import Project="$(VCTargetsPath)\Microsoft.Cpp.Default.props" />
  <PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Debug|Win32'" Label="Configuration">
    <ConfigurationType>Application</ConfigurationType>
    <UseDebugLibraries>true</UseDebugLibraries>
    <PlatformToolset>v142</PlatformToolset>
    <CharacterSet>Unicode</CharacterSet>
  </PropertyGroup>
  <PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Release|Win32'" Label="Configuration">
    <ConfigurationType>Application</ConfigurationType>
    <UseDebugLibraries>false</UseDebugLibraries>
    <PlatformToolset>v142</PlatformToolset>
    <WholeProgramOptimization>true</WholeProgramOptimization>
    <CharacterSet>Unicode</CharacterSet>
  </PropertyGroup>
  <PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Debug|x64'" Label="Configuration">
    <ConfigurationType>Application</ConfigurationType>
    <UseDebugLibraries>true</UseDebugLibraries>
    <PlatformToolset>v142</PlatformToolset>
    <CharacterSet>Unicode</CharacterSet>
  </PropertyGroup>
  <PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Release|x64'" Label="Configuration">
    <ConfigurationType>Application</ConfigurationType>
    <UseDebugLibraries>false</UseDebugLibraries>
    <PlatformToolset>v142</PlatformToolset>
    <WholeProgramOptimization>true</WholeProgramOptimization>
    <CharacterSet>Unicode</CharacterSet>
  </PropertyGroup>
  <Import Project="$(VCTargetsPath)\Microsoft.Cpp.props" />
  <ImportGroup Label="ExtensionSettings">
  </ImportGroup>
  <ImportGroup Label="Shared">
  </ImportGroup>
  <ImportGroup Label="PropertySheets" Condition="'$(Configuration)|$(Platform)'=='Debug|Win32'">
    <Import Project="$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props" Condition="exists('$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props')" Label="LocalAppDataPlatform" />
  </ImportGroup>
  <ImportGroup Label="PropertySheets" Condition="'$(Configuration)|$(Platform)'=='Release|Win32'">
    <Import Project="$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props" Condition="exists('$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props')" Label="LocalAppDataPlatform" />
  </ImportGroup>
  <ImportGroup Label="PropertySheets" Condition="'$(Configuration)|$(Platform)'=='Debug|x64'">
    <Import Project="$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props" Condition="exists('$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props')" Label="LocalAppDataPlatform" />
  </ImportGroup>
  <ImportGroup Label="PropertySheets" Condition="'$(Configuration)|$(Platform)'=='Release|x64'">
    <Import Project="$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props" Condition="exists('$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props')" Label="LocalAppDataPlatform" />
  </ImportGroup>
  <PropertyGroup Label="UserMacros" />
  <PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Debug|Win32'">
    <LinkIncremental>true</LinkIncremental>
  </PropertyGroup>
  <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>
  </PropertyGroup>
  <ItemDefinitionGroup Condition="'$(Configuration)|$(Platform)'=='Debug|Win32'">
    <ClCompile>
      <WarningLevel>Level3</WarningLevel>
      <SDLCheck>true</SDLCheck>
      <PreprocessorDefinitions>WIN32;_DEBUG;_CONSOLE;%(PreprocessorDefinitions)</PreprocessorDefinitions>
      <ConformanceMode>true</ConformanceMode>
    </ClCompile>
    <Link>
      <SubSystem>Console</SubSystem>
      <GenerateDebugInformation>true</GenerateDebugInformation>
    </Link>
  </ItemDefinitionGroup>
  <ItemDefinitionGroup Condition="'$(Configuration)|$(Platform)'=='Release|Win32'">
    <ClCompile>
      <WarningLevel>Level3</WarningLevel>
      <FunctionLevelLinking>true</FunctionLevelLinking>
      <IntrinsicFunctions>true</IntrinsicFunctions>
      <SDLCheck>true</SDLCheck>
      <PreprocessorDefinitions>WIN32;NDEBUG;_CONSOLE;%(PreprocessorDefinitions)</PreprocessorDefinitions>
      <ConformanceMode>true</ConformanceMode>
      <AdditionalIncludeDirectories>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;%(AdditionalIncludeDirectories)</AdditionalIncludeDirectories>
    </ClCompile>
    <Link>
      <SubSystem>Console</SubSystem>
      <EnableCOMDATFolding>true</EnableCOMDATFolding>
      <OptimizeReferences>true</OptimizeReferences>
      <GenerateDebugInformation>true</GenerateDebugInformation>
      <AdditionalDependencies>C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\*\*.a;C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\*\*\*.a;C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\*\*\*\*.a;C:\Users\Administrator\dev\tensorflow\bazel-bin\external\*\*.a;C:\Users\Administrator\dev\tensorflow\bazel-bin\external\*\*\*.a;C:\Users\Administrator\dev\tensorflow\bazel-bin\external\*\*\*\*.a;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\core\debug\libdebug_callback_registry.a;C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\debug\libdebug_node_key.a;C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\libattr_value_util.a;C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\libcommon_shape_fns.a;C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\libnode_def_util.a;C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\libnode_properties.a;C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\libop.a;C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\libop_def_builder.a;C:\Users\Administ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C:\Users\Administrator\dev\tensorflow\bazel-bin\external\libjpeg_turbo\libjpeg.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\libjpeg_turbo\libsimd_win_x86_64.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\lmdb\liblmdb.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\mkl_dnn\libmkldnn_single_threaded.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\nsync\libnsync_cpp.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\org_sqlite\liborg_sqlite.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\png\libpng.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\snappy\libsnappy.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\upb\libupb.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\zlib\libzlib.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\src\compiler\libgrpc_plugin_support.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\third_party\address_sorting\libaddress_sorting.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\base\libbase.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\base\libdynamic_annotations.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\base\libmalloc_internal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\base\libspinlock_wait.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\base\libthrow_delegate.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\container\libhashtablez_sampler.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\container\libraw_hash_set.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\debugging\libdebugging_internal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\debugging\libdemangle_internal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\debugging\libleak_check.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\debugging\libstacktrace.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\debugging\libsymbolize.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\flags\libconfig.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\flags\libflag.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\flags\libhandle.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\flags\libinternal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\flags\libmarshalling.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\flags\libregistry.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\hash\libcity.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\hash\libhash.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\numeric\libint128.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\strings\libinternal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\strings\libstrings.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\strings\libstr_format_internal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\synchronization\libgraphcycles_internal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\synchronization\libsynchronization.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\time\libtime.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\types\libbad_optional_access.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\types\libbad_variant_access.a %(AdditionalOptions)</AdditionalOptions>
    </Link>
  </ItemDefinitionGroup>
  <ItemGroup>
    <ClCompile Include="ConsoleApplication1.cpp" />
  </ItemGroup>
  <Import Project="$(VCTargetsPath)\Microsoft.Cpp.targets" />
  <ImportGroup Label="ExtensionTargets">
  </ImportGroup>
</Project>

dev.zip

@gunan
그래서 제 질문은 다음과 같습니다.

libprotobuf.lib tensorflow_cc.dll 대한 기호를 제공할 수 없고 정적으로 링크해야 하는 경우 어떻게 합니까?

main.cpp 코드를 컴파일하고 정적 링크로 얻은 결과를 말해 줄 수 있습니까?

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;

}

samhodge 에 2020년 06월 09일

나는 조금 더 일찍 살펴보았고 tensorflow/core/protobuf의 config.proto에 누락된 기호가 있고 .o 파일을 찾을 수 있지만 이러한 개체 파일이 있는지 확인하기 위해 bazel 간접적인 경로를 따라갈 수 없는 것 같습니다 .a 객체 아카이브 중 하나로 끝납니다. 분명히 그렇지 않거나 기호가 누락되지 않습니다.

그러나 이것이 문제의 일부입니까?

.proto 파일은 .cc 파일을 만들어 오브젝트 파일을 만들지만 헤더도 생성됩니다. 헤더가 기호를 노출된 것으로 선언하는지 여부는 확실하지 않습니다.

아침에 추가 라이브러리에 .o 파일을 추가하려고 합니다. 단, 라이브러리 및 라이브러리 추가에는 글자수 제한이 있어 각 오브젝트 파일을 추가하지 못할 수 있습니다.

이는 정적 .lib .a 및 .o 파일을 하나의 큰 정적 아카이브로 채우게 합니다.

Linux 및 macOS에서 bazel로 수행해야 하는 작업은 ar를 사용하여 셸에서 큰 단어 크기로 개체 파일에서 수행할 수 있습니다.

@gunan
C++ 및 Tensorflow에 대한 정적 대상을 가질 수 있습니까?

samhodge 에 2020년 06월 09일

합리적이라고 생각합니다.
@meteorcloudy 위에서 채굴한 개별 .a 파일 @samhodge 의 조합이 될 대상을 어떻게 만들 수 있습니까? Bazel이 이것들을 병합할 수 있습니까?

gunan 에 2020년 06월 09일

🚀1 🎉1

다음 링크
다음과 같은 누락된 기호가 나타납니다.

참조 부착
출력.zip

컴파일할 때

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

포함 파일을 다음과 같이 사용하여

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

컴파일은 성공하고 위와 같이 링크가 실패합니다.

samhodge 에 2020년 06월 10일

감사합니다. 나중에 시도하겠습니다.

------------------ 原始邮件 ------------------
发件人: "Sam Hodge"< [email protected]>;
发送时间: 2020年6月10日(星期三) 上午8:55
收件人: "텐서플로우/텐서플로우"< [email protected]>;
抄送: "구독"< [email protected]>;
主题: Re: [tensorflow/tensorflow] Windows C++ tensorflow_cc.dll에 "할당자 유형"과 "표시 장치 목록"에 대한 문자열 GPU 옵션 간에 메모리 주소가 겹칩니다(#39439).

다음 링크
다음과 같은 누락된 기호가 나타납니다.

참조 부착
출력.zip

컴파일할 때
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_compute_metadata_proto_cc_compute_metadata_proto_cc_ \Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla_objs\tf2xla_proto_cc_impl*.o C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla_objs\xla_data_proto_cc_impl*.o C \Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla_objs\xla_proto_cc_impl*.o C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\service_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*.o 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\ 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_ 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_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\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\Ad ministrator\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_impls*.o C: 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
포함 파일을 다음과 같이 사용하여
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
컴파일은 성공하고 위와 같이 링크가 실패합니다.

—
이 스레드에 가입했기 때문에 이 메시지를 받고 있습니다.
이 이메일에 직접 답장하거나 GitHub에서 보거나 구독을 취소하세요.

hunim 에 2020년 06월 10일

나는 당황했다. com_google_protobuf에서 .a 파일을 가져오고 있습니다. 기호 오류가 어떻게 보이는지 모르겠습니다.

gunan 에 2020년 06월 10일

나는 당황했다. com_google_protobuf에서 .a 파일을 가져오고 있습니다. 기호 오류가 어떻게 보이는지 모르겠습니다.

예, 다른 사람이 직접 시도하려는 경우 본질적으로 r2.2 에서 생성된 아티팩트와 CUDA 10.2로 대상 //tensorflow:tensorflow_cc.dll 를 빌드하는 것은 Visual Studio 2019로 정의됩니다.

samhodge 에 2020년 06월 10일

나는 당황했다. com_google_protobuf에서 .a 파일을 가져오고 있습니다. 기호 오류가 어떻게 보이는지 모르겠습니다.

$ .proto #$ 파일에서 생성된 .o 파일을 포함하지 않으면 누락된 기호만 있습니다.

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++ protobuf .proto 대상의 .o 파일을 포함하면 이 목록이 거의 200개의 누락된 기호로 확장됩니다.

samhodge 에 2020년 06월 10일

@meteorcloudy @sanjoy @gunan

이 문제가 제기된 지 한 달이 지났습니다.

나는 나에게 요청한 모든 것을 시도했지만 우리는 여전히 20줄 미만의 재생산 사례를 실행할 수 없는 지점에 있습니다.

이 여정에는 완전하고 재현 가능한 컴파일 시간 및 런타임 환경을 만드는 작업이 포함되었습니다.

이제 링크할 때 동적으로 링크되어야 함을 나타내는 C 선언으로 GPUOptions C++ 생성자와 소멸자 두 개의 누락된 기호가 있는 시점에 있습니다.

그러나 우리는 정적으로 연결하려고 합니다.

다음 단계는 GitHub의 .proto 파일에서 만든 .cc 중간체를 살펴보고 누락된 기호가 흑백으로 표시되는지 확인하는 것입니다.

거기에서 우리는 두 가지 결과만 볼 수 있습니다

기호가 있으며 연결 프로세스를 따릅니다.

기호가 누락되었으며 업스트림에서 GPUOptions 생성자와 소멸자를 .lds 파일의 DEF 목록에 추가하여 .proro를 실행 파일로 변환하는 것이 소프트웨어의 의도된 동작과 일치하는지 확인합니다.

그러나 이것은 동적 연결 솔루션이며 최상의 솔루션은 Windows에서 65K 기호 제한을 극복하기 위한 정적 연결이라고 들었습니다.

bazel이 이 프로세스가 어떻게 일어나도록 의도했는지에 대한 설계 문서가 없기 때문에

저는 Tensorflow 팀에 의존하여 저를 안내합니다.

아니면 계속 가정을 하고 실험을 통해 테스트합니다. 이는 제한된 리소스를 잘못 사용하는 것입니다.

안내 좀 부탁드려도 될까요?

샘

samhodge 에 2020년 06월 11일

내 후자의 참조를 위해 여기에 남겨 둡니다.

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

samhodge 에 2020년 06월 11일

안녕하세요 샘,
귀하의 의견에 감사드립니다.
위에서 언급했듯이 나는 아이디어가 없으며 이러한 일부를 설명하는 데 도움이 되는 bazel on windows 전문 지식이 필요한 시점에 있습니다.

안타깝게도 bazel 팀은 독일에 있습니다. 그들은 또한 다른 휴가 일정, 다른 제약 조건 및 github의 문제에 응답하는 프로세스를 가지고 있습니다. 당신과 마찬가지로 나도 그들로부터 몇 가지 피드백과 지침을 기다리고 있습니다.

gunan 에 2020년 06월 11일

투명성 덕분에 좌절 수준에 확실히 도움이 됩니다.

시간이 허락한다면 오늘 아침에 더 많은 실험을 할 것입니다.

당신이 줄 수 있는 모든 것에 진심으로 감사합니다

건배!

samhodge 에 2020년 06월 11일

config.proto 에서 config.pb.h 및 config.pb.cc 결과를 확인하십시오.

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

즉

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

protobuf.zip

관련 코드를 붙여넣겠습니다.

#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();
}

이러한 기호가 cdecl에 래핑되지 않은 것을 볼 수 있습니다.

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

따라서 기호가 누락되었습니다.

나는 편집을 시도할 것이다:

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

*GPUOptions* 추가

그런 다음 거기에서 일이 어디로 가는지 보십시오.

samhodge 에 2020년 06월 15일

나는 오늘 이것에 대해 약간의 시간을 할애하고 있다

하지만 두 가지 해결 방법이 있습니다

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

그리고 이 스레드에서 TF_EXPORT 매크로는 기호를 노출하지만 .proto ~ .pb.cc 및 .pb.h 컴파일 레이어를 통하지 않습니다.

따라서 protobuf를 통해 컴파일된 기호를 노출하는 메커니즘이 필요합니다.

samhodge 에 2020년 06월 15일

좋아, 나는 약간의 진전을 얻었어

이 프로그램에서

@gunan 이 권장하는 C++ 드라이버

#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 2019의 출력

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 . . .

포함 디렉토리는 다음과 같습니다.

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)

에 연결되었다

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)

이것들은 어디에서 생성된 아티팩트입니까?

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

스크립트에 포함된 위치

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

추가적으로
이 C++ 드라이버

#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; 


}

생산하다

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 . . .

samhodge 에 2020년 06월 15일

@sanjoy @gunan @meteorcloudy 이제 r2.2 CUDA 10.2 MSVC 2019 및 위에 나열된 CUDNN 버전을 사용하여 재생산 단계를 수행합니다.

여기 내 git diff 가 있습니다.

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:
     *;
 };

samhodge 에 2020년 06월 15일

🚀1 🎉1 👍1

이것을 보면:

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);
  }

이렇게 하면 할당자 유형과 표시되는 GPU 목록이 동일한 문자열에 있게 될까요?

samhodge 에 2020년 06월 15일

@samhodge

Windows에서 주어진 모든 전이적 dep에 연결된 정적 cc 라이브러리를 구축하기 위해 win_cc_static_library 규칙을 작성했습니다. 도움이 되는지 확인해주세요.

meteorcloudy 에 2020년 06월 15일

시간이 허락한다면 지금부터 약 7시간 후에 시도하겠습니다.

따라서 //t ensorflow:tensorflow_cc.dll 대상에 동일한 종속성을 갖고 이름을 지정하면 마법이 발생하고 추가 항목을 노출하지 않고도 .a 또는 .lib 파일에 연결할 수 있습니다. 기호?

@meteorcloudy 맞나요 ?

samhodge 에 2020년 06월 15일

좋아, 나는 시간을 찾았어

내 방법은 다음과 같습니다.

클론 r2.2
tensorflow 디렉토리에 win_cc_static_library.bzl 파일 추가

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"],
)

추가로 포함하도록 tensorflow에서 tensorflow\BUILD 수정

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

그리고

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"]),
)

그런 다음 buildenv.ps1 를 . .\buildenv.ps1 로 소싱합니다.

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

그런 다음 소스 bazel powershell 스크립트

$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

그것이 구축되는 것 같으면 나는 그것에 대해서만 연결하고 기호가 누락되었는지 확인합니다.

그렇다면 관련 .lds 파일에 *GPUOptions* 를 추가하겠습니다.

samhodge 에 2020년 06월 15일

longtime
약 6시간 후 파일

    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 ...

컴파일되지 않았기 때문에 .obj 파일을 제거하고 파일 시스템의 결함이며 빠르게 빌드될 것이라고 다시 생각하기 시작했습니다.

나는 밤새 기계를 켜두고 경과를 볼 수 있다고 생각합니다.

samhodge 에 2020년 06월 16일

거의 2시간 후 48코어 머신과 3개의 타겟이 다른 2개의 다운스트림 타겟을 차단합니다.

    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

samhodge 에 2020년 06월 16일

https://github.com/tensorflow/tensorflow/issues/10521 처럼 보입니다.
.tf_configure.bazelrc 파일에 build --define=override_eigen_strong_inline=true 이 지정되어 있습니까?

meteorcloudy 에 2020년 06월 16일

확실하지 않지만 이것이 최신입니다

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

samhodge 에 2020년 06월 16일

정적 라이브러리가 너무 커서 여기에서 어디로?

samhodge 에 2020년 06월 16일

정적 라이브러리의 총 크기가 2GB 제한을 초과하는 반면 DLL은 수십 MB에 불과하다는 것이 이상합니다.
bazel-out/x64_windows-opt/bin/tensorflow/tensorflow_cc_static.lib.params 에서 링크하려는 라이브러리를 확인할 수 있습니까? 원치 않는 종속성을 필터링하기 위해 먼저 규칙을 해킹할 수 있습니다.

meteorcloudy 에 2020년 06월 16일

또한 빌드 옵션으로 --define=override_eigen_strong_inline=true 를 사용하지 않아 obj 파일이 매우 커질 수 있습니다.
--define=override_eigen_strong_inline=true 로 재구축을 시도할 수 있습니까?

meteorcloudy 에 2020년 06월 16일

곧 시도할 수 있습니다. 리소스를 절약하기 위해 확인했을 때 늦은 밤에 대규모 클라우드 인스턴스를 밤새 종료했습니다.

조언 감사합니다 @meteorcloudy 도움이 많이 되었습니다. bazel 매크로는 우리가 게임으로 돌아가야 하는 인라인 옵션과 함께 매력을 발휘했습니다.

samhodge 에 2020년 06월 16일

다음을 제외하고 https://github.com/tensorflow/tensorflow/issues/39439#issuecomment -644408408에서 단계를 반복하는 것이 좋습니다.

--define=override_eigen_strong_inline=true

samhodge 에 2020년 06월 16일

다음을 제외하고 #39439(주석) 의 단계를 반복하는 것이 좋습니다.
--define=override_eigen_strong_inline=true

지금은 훨씬 빠르게 빌드되고 있으며 파일 크기도 더 작아지기를 바랍니다.

samhodge 에 2020년 06월 17일

다음 메시지와 함께 갑자기 종료되었습니다.

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

samhodge 에 2020년 06월 17일

정적 라이브러리가 너무 크다는 사실에 놀라지 않습니다. 동적 라이브러리 또는 실행 파일을 생성할 때 마지막 연결 단계에서 많은 것을 제거할 수 있습니다. 결과 정적 라이브러리를 최종 링커에 공급하고 더 작은 바이너리를 생성하면 어떻게 됩니까?

그 실패에 대해서는 불만을 제기한 파일이 헤더가 아니기 때문에 확실하지 않습니다.

gunan 에 2020년 06월 17일

나는 새로운 클론으로 반복하고 그것이 반복 가능한지 확인합니다.

초기 git 클론에 문제가 있었는데 문제가 발생하여 모든 파일을 삭제하지 않고 다시 시작했습니다. 아마도 손상된 파일이 있을 수 있습니다.

samhodge 에 2020년 06월 17일

같은 문제

그러나 인라인 옵션을 사용하면 훨씬 더 빨리 전달됩니다.

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

samhodge 에 2020년 06월 17일

교활한 악마가 되어도 날 막을 수 없어

C:\Users\Administrator\dev\attempt6\tensorflow\bazel-out\x64_windows-opt\bin\tensorflow\tensorflow_cc_static.params 이 있습니다.

/nologo
/MACHINE:X64
/OUT:bazel-out/x64_windows-opt/bin/tensorflow/tensorflow_cc_static.lib
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/numeric/libint128.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/base/libspinlock_wait.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/base/libdynamic_annotations.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/base/libbase.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/base/libthrow_delegate.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/strings/libinternal.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/strings/libstrings.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/types/libbad_optional_access.a
bazel-out/x64_windows-opt/bin/external/com_google_protobuf/libprotobuf_lite.a
bazel-out/x64_windows-opt/bin/external/com_google_protobuf/libprotobuf.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/protobuf/libxplane_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/util/libtest_log_proto_impl_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/util/libmemmapped_file_system_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libversions_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libtypes_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libtensor_slice_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libtensor_shape_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libresource_handle_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libtensor_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/util/libsaved_tensor_slice_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libsummary_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/util/libevent_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/liberror_codes_proto_impl_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/lib/core/liberror_codes_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libvariable_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/liballocation_description_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libtensor_description_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libstep_stats_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libattr_value_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libop_def_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libnode_def_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libfunction_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libgraph_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libremote_fused_graph_execute_info_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libreader_base_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/liblog_memory_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libkernel_def_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libgraph_transfer_info_proto_cc_impl.lo
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libsave_restore_tensor.a
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bazel-out/x64_windows-opt/bin/tensorflow/core/util/proto/libdescriptor_pool_registry.a
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bazel-out/x64_windows-opt/bin/tensorflow/core/util/ctc/libctc_loss_calculator_lib.a
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libcollective_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libclustering_ops.lo
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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
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libspectrogram.a
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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
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/liblistdiff_op.lo
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libfingerprint_op.lo
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libextract_volume_patches_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libextract_image_patches_op_gpu.lo
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libedit_distance_op.lo
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libdiag_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libdepth_space_ops_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libdepth_space_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libconcat_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libbcast_ops.lo
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libbatch_space_ops.lo
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bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libop_gen_lib.a
bazel-out/x64_windows-opt/bin/tensorflow/c/libkernels.a
bazel-out/x64_windows-opt/bin/tensorflow/c/kernels/libbitcast_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libsobol_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/compiler/tf2xla/cc/libxla_ops.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/jit/ops/libxla_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/compiler/tf2xla/cc/libxla_jit_ops.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/tf2xla/libresource_operation_table.a
bazel-out/x64_windows-opt/bin/tensorflow/cc/libfunctional_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/cc/libcc_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/compiler/jit/libresource_operation_safety_analysis.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/jit/libencapsulate_util.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/jit/libdevice_util.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/jit/libcompilability_check_util.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/jit/libcompilation_passes.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/jit/libjit_compilation_passes.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/libgpu_bfc_allocator.a
bazel-out/x64_windows-opt/bin/tensorflow/core/libgpu_runtime_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/compiler/jit/libxla_tensor.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/jit/libxla_compilation_cache.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/jit/libxla_launch_util.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/jit/libxla_device_no_jit_rewrite_registration.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/jit/kernels/libxla_ops_no_jit_rewrite_registration.lo
bazel-out/x64_windows-opt/bin/tensorflow/compiler/jit/libxla_kernel_creator_util.lo
bazel-out/x64_windows-opt/bin/tensorflow/compiler/jit/libxla_kernel_creator.lo
bazel-out/x64_windows-opt/bin/tensorflow/compiler/jit/libxla_gpu_device.lo
bazel-out/x64_windows-opt/bin/tensorflow/compiler/xla/service/libhlo_lexer.a
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bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_stats.a
bazel-out/x64_windows-opt/bin/tensorflow/cc/profiler/libprofiler.a

드라이버에 연결하는 데 사용할 수 있습니다.

행운을 빌어요!

samhodge 에 2020년 06월 17일

OK이므로 수정되었습니다. YAYAYAYA!

여기 출력이 있습니다

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 . . .

파일 TFDriver.cpp

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

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

포함하다

정수 메인() {
텐서플로::GPU옵션 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

samhodge 에 2020년 06월 17일

👍2 🚀1 ❤1 🎉1

기록을 위해 파일 크기는 1.3Mb입니다.

samhodge 에 2020년 06월 17일

귀하의 지원에 감사드립니다. 이것은 곱슬거리는 문제였습니다. 이제 관련 CUDNN을 사용하여 CUDA 9.2.1.148을 사용하여 MSVC 2017에 대해 빌드하는 것을 고려해야 합니다. 문제가 있는 것으로 판명되면 새 티켓을 열겠습니다.

samhodge 에 2020년 06월 17일

bazel 수정이 여전히 작동하는지 확인하기 위해 이전 버전의 tensorflow 및 MSVC 2015로 실험을 시도합니다.

samhodge 에 2020년 06월 17일

CcInfo는 bazel 0.19.2에 알려져 있지 않습니다.

@meteorcloudy
어떤 버전의 bazel이 이 기능을 도입하고 여전히 tensorflow r1.12를 컴파일하는지 알고 있습니까?

귀하의 솔루션과 함께 더 이상 r1.12를 사용할 수 없습니다.

시간을 낭비해서 죄송합니다.

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

samhodge 에 2020년 06월 17일

@samhodge 도움이 되었다니 다행입니다!
문제를 해결하는 데 도움이 된 DLL 빌드를 위한 정적 라이브러리 목록이라면 DLL의 매개변수 파일에서 목록을 가져와서 cc_static_library 규칙이 전혀 필요하지 않도록 할 수도 있습니다.

meteorcloudy 에 2020년 06월 17일

@samhodge 도움이 되었다니 다행입니다!
문제를 해결하는 데 도움이 된 DLL 빌드를 위한 정적 라이브러리 목록이라면 DLL의 매개변수 파일에서 목록을 가져와서 cc_static_library 규칙이 전혀 필요하지 않도록 할 수도 있습니다.

좋은 생각일 수 있습니다. 여전히 CcInfo가 필요할까요?

samhodge 에 2020년 06월 18일

좋은 생각일 수 있습니다. 여전히 CcInfo가 필요할까요?

아니요, 매개변수 파일은 Bazel의 기본 cc 규칙(Java 코드로 작성)에 의해 생성됩니다.

meteorcloudy 에 2020년 06월 18일

.lib 및 .a 및 .lo 및 .obj 파일을 .dll에 대한 입력으로 사용하면 정적 연결에 적합하므로 위치 독립적인 코드가 될까요?

samhodge 에 2020년 06월 18일

.params 파일의 순서가 중요하다고 생각하십니까?

samhodge 에 2020년 06월 18일

.lib 및 .a 및 .lo 및 .obj 파일을 .dll에 대한 입력으로 사용하면 정적 연결에 적합하므로 위치 독립적인 코드가 될까요?

나는 그렇게 믿는다

.params 파일의 순서가 중요하다고 생각하십니까?

확실하지 않지만 라이브러리의 순서를 유지하려고 노력할 것입니다.

meteorcloudy 에 2020년 06월 18일

이미 가지고 있는 r1.12 아티팩트로 이것을 시도하고 예상대로 작동하는지 확인합니다.

여기에 내가 작업하고 있는 .params 파일이 있습니다.

libtensorflow_cc.so-2.params

/OUT:bazel-out/x64_windows-opt/bin/tensorflow/libtensorflow_cc.so
/IMPLIB:bazel-out/x64_windows-opt/bin/tensorflow/liblibtensorflow_cc.so.ifso
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/c/eager/libc_api.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/eager/libgrpc_eager_client.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/libgrpc_server_lib.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/libgrpc_master_service.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/libgrpc_master_service_impl.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/liblocal_master.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libmaster.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libmaster_session.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libscheduler.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/librpc_collective_executor_mgr.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libcollective_param_resolver_distributed.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libcollective_rma_distributed.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libdevice_resolver_distributed.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/eager/libgrpc_eager_service_impl.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/eager/libgrpc_eager_service.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/eager/libeager_service_impl.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/common_runtime/eager/libexecute.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/common_runtime/eager/libeager_operation.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/common_runtime/eager/libattr_builder.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/common_runtime/eager/libtensor_handle.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/common_runtime/eager/libcontext.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/common_runtime/eager/libeager_executor.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/common_runtime/eager/libkernel_and_device.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/libeager_service_proto_cc.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/libgrpc_worker_cache.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/libgrpc_channel.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/libgrpc_remote_worker.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libworker_cache_logger.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libworker_cache_partial.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/libgrpc_worker_service.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/libgrpc_tensor_coding.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/libgrpc_worker_service_impl.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/libgrpc_util.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/librecent_request_ids.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libworker.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libpartial_run_mgr.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libsession_mgr.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/librpc_rendezvous_mgr.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libbase_rendezvous_mgr.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libworker_session.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libgraph_mgr.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/debug/libdebug.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/debug/libdebugger_state_impl.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/libdebug_ops_op_lib.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libdebug_ops.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/debug/libdebug_io_utils.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/debug/libdebug_callback_registry.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/debug/libdebug_node_key.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/debug/libdebug_service_proto_cc.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/debug/libdebugger_event_metadata_proto_cc.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc++.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc++_base.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libcensus.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_lb_policy_pick_first.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_lb_policy_round_robin.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_server_load_reporting.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_max_age_filter.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_message_size_filter.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_resolver_dns_ares.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/third_party/address_sorting/libaddress_sorting.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_resolver_dns_native.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_resolver_sockaddr.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_transport_chttp2_server_insecure.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_transport_inproc.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_workaround_cronet_compression_filter.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_server_backward_compatibility.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_lb_policy_grpclb_secure.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_resolver_fake.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_transport_chttp2_client_secure.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_transport_chttp2_server_secure.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_secure.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libtsi.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libalts_frame_protector.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libalts_util.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libalts_proto.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_nanopb.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_transport_chttp2_client_insecure.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_transport_chttp2_client_connector.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_client_channel.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_client_authority_filter.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_deadline_filter.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libtsi_interface.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/boringssl/libssl.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/boringssl/libcrypto.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_transport_chttp2_server.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_transport_chttp2.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_http_filters.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_base.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_base_c.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_trace.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_transport_chttp2_alpn.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgpr_base.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc++_codegen_base_src.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/librequest_id.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libtensor_coding.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libremote_device.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libcall_options.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libmessage_wrappers.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/libmaster_proto_cc.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/libworker_proto_cc.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libserver_lib.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/cc/libclient_session.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/cc/profiler/libprofiler.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_stats.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_code.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_graph.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_op.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_show_multi.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_scope.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_show.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_tensor.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_timeline.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_node_show.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_node.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/jsoncpp_git/libjsoncpp.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_utils.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/c/libcheckpoint_reader.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/c/libtf_status_helper.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/c/libc_api.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/cc/saved_model/libloader_lite.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/cc/saved_model/libreader.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/cc/libarray_grad.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/cc/libdata_flow_grad.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/cc/libimage_grad.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/cc/libmath_grad.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/cc/libnn_grad.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/cc/libgradients.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/cc/libgrad_op_registry.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/cc/libwhile_loop.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/cc/libcc_ops.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/cc/libcc_ops_internal.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/cc/libconst_op.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/cc/libscope.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/cc/libops.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/libop_gen_lib.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/libtfprof_options.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/libprotos_all_cc.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libbatch_space_ops.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libbatch_space_ops_gpu.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libbcast_ops.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libbitcast_op.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libbroadcast_to_op.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libbroadcast_to_op_gpu.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libconcat_op.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libconstant_op.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libconstant_op_gpu.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libdepth_space_ops.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libdepth_space_ops_gpu.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libdiag_op.lo
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samhodge 에 2020년 06월 19일

@Artem-B 정적으로 연결된 바이너리로 반복되는 것으로 보이는 원래 문제에 대한 아이디어가 있는 경우를 대비하여.

gunan 에 2020년 06월 20일

👍1

내 바이너리의 링크 대상으로 r1.12 아티팩트를 계속 사용하고 있습니다. 검색 경로와 링크 대상의 수만 다루면 실패할 가능성이 많다는 것을 의미합니다. 저는 지금까지 그 중 많은 것을 발견했습니다. 성공적인 순열을 찾으면 알려 드리겠습니다.

samhodge 에 2020년 06월 20일

잠깐, protobuf 필드는 정적으로 연결된 라이브러리에서 제대로 작동하는 것 같습니다. 맞습니까? 나는 당신이 게시 한 출력을 잘못 읽었습니다.

gunan 에 2020년 06월 20일

👍1

protobuf 팀에서도 답변을 받았습니다. 그들은 이중 연결로 인해 동작이 발생할 수 있다고 의심합니다.

기본 빈 문자열 필드가 설정되었는지 여부를 파악하기 위해 문자열의 주소가 단일 빈 문자열의 주소와 일치하는지 확인합니다. protobuf 런타임이 여러 공유 라이브러리에서 중복되면 이 "싱글톤" 빈 문자열의 복사본이 여러 개 있고 문자열 필드가 설정되었는지 여부를 확실하게 알 수 없기 때문에 문제가 발생할 수 있다고 생각합니다.

따라서 protobuf를 두 번 연결하면 이 버그가 발생할 수 있습니다. 정적 연결이 문제를 해결할 수 있는 것 같습니다.
그러나 TF의 경우 정적으로 링크할 라이브러리를 제공하는 문제는 바이너리의 크기입니다. 하지만 솔루션을 "함께 해킹"할 수 있었던 것 같습니다.

gunan 에 2020년 06월 20일

잠깐, protobuf 필드는 정적으로 연결된 라이브러리에서 제대로 작동하는 것 같습니다. 맞습니까? 나는 당신이 게시 한 출력을 잘못 읽었습니다.

예, 내 모든 심볼을 붙여넣고 심볼을 매끄럽게 다시 보관하여 이미 정적으로 연결된 내 소프트웨어의 macOS 및 Linux 빌드에서 이 동작의 증거가 있었습니다. 여기에 언급된 대로 ar 사용:

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

그러나 ar 는 Windows 10에 존재하지 않으며 link.exe 를 사용하는 것은 계산 비용에 실패했습니다.

따라서 bazel 가 .param 파일과 함께 작동하는 방식에 대한 세부 정보를 보니 $ 아래에 정적으로 링크할 MSVC 2015 .a .lo .lib 파일을 알 수 있습니다. MSVC 2015 libprotobuf.lib 및 libprotobuf.dll 가 tensorflow_cc.lib 및 tensorflow_cc.dll 에 이미 있는 기호로 실행되지 않도록 합니다. 이 티켓에 보고된 동작의 원인이 됩니다.

samhodge 에 2020년 06월 20일

테스트할 수 있는 숫자가 0이 되면 누락된 기호가 36개로 줄어듭니다.

samhodge 에 2020년 06월 20일

나는 또한 프레임 워크에 대한 의존성이 있다는 것을 잊어 버렸습니다. 아마도 누락 된 기호 일 것입니다.

samhodge 에 2020년 06월 20일

"즉시 사용 가능한" 정적 연결이 조금 더 필요하다고 생각합니다.

프로토콜 버퍼에 연결하지 않고 해킹된 솔루션( protobuf_archive ) 3.6.0 on tensorflow r1.12

다음과 같은 누락된 기호를 남깁니다.

자산에 베팅하지 않고 모두 .proto 파일에서 가져옵니다.

  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'"

여기 내 라이브러리 목록이 있습니다.

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

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

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

기반으로

bazel-tensorflow\bazel-out\x64_windows-opt\bin\tensorflow
bazel-tensorflow\bazel-out\x64_windows-opt\bin\external 를 검색 경로로 사용

이것은 정보에서 오는 것입니다

libtensorflow_cc.so-2.params 및 libtensorflow_framework.so-2.params

samhodge 에 2020년 06월 20일

.vcxproj 파일을 사용하여 이를 설정하는 웜 캔이 됩니다.

캐릭터 제한은 계속해서 적용되며 매 턴마다 65,000자 제한이 채워집니다. Windows 운영 체제의 16비트 역사에는 답이 많이 있습니다.

samhodge 에 2020년 06월 20일

$ .pb.cc .obj 파일을 직접 추가하면 누락된 기호를 복구할 수 있습니다.

samhodge 에 2020년 06월 20일

@gunan @meteorcloudy @Artem-B

단순히 추가

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

연결되는 개체는 34개의 누락된 기호에서 164개의 누락된 기호로 이동합니다.

Windows 10에서 다음 C++ 코드를 실행하는 방법에 대한 전문가 가이드가 정말 필요합니다.

#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;


}

운영 체제, 컴파일러, bazel 버전, CUDA 버전 등

이 문제는 r1.12 또는 r2.2 에 국한되지 않고 protobuf 가 Windows에서 연결되는 방식에 대해 체계적입니다.

정적 링크에 대한 솔루션은 없지만 위의 코드가 올바르게 실행되기 위한 요구 사항입니다.

내 해킹된 솔루션은 r2.2 MSVC 2019 미만의 단순 드라이버 버전 이상으로 작동하지 않습니다.

연결 스크립트 .params 파일을 기록하면서 r2.2 아래의 tensorflow_cc.dll 대상에 입력을 추가하는 것을 기반으로 했습니다.

따라서 r1.12 libtensorflow_cc.so 에 대한 입력을 사용하는 것은 동일하게 작동해야 하지만 그렇지 않고 .proto 기반 컴파일된 파일에 대해 누락된 기호를 남깁니다.

이 동작의 원인이 무엇인지 잘 모르겠습니다.

samhodge 에 2020년 06월 20일

예를 들어 core/platform/windows/port.cc 파일에 port::InitMain 기호가 있는 경우 해당 코드의 컴파일된 버전에 대한 기호가 있는 아티팩트를 어떻게 찾을 수 있습니까?

이것은 동적으로 링크할 때 목록에 있던 누락된 기호 중 하나입니다.

따라서 정적으로 링크할 때 .dll에 대한 입력이 있는 경우. 이 기호가 누락된 이유는 무엇입니까?

이 문제를 해결할 수 있다면 나머지 33개의 누락된 기호에도 유사한 논리를 적용할 수 있습니다.

샘

samhodge 에 2020년 06월 20일

OK $ core/platform/windows/port.cc 파일에서 port.o 를 찾는 .params 파일을 통해 재귀 grep으로 이 작업을 수행했으며 먼저 libframework_internal_impl.lo 및 liblib_internal_impl.a 에 번들되었습니다. example.obj 가 둘 다에 연결되어 .dll 가 됩니다.

따라서 기호는 두 번 있어야 합니다!

내가 가지고 있는 한 가지 궁금증은 /DEFAULTLIB:msvrt.lib 대 /DEFAULTLIB:libcmt.lib 입니다.

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

example.obj 모든 TF 기호 및 기타 Cool Stuff(tm)에 연결하면 example.dll 가 됩니다. /DEFAULTLIB:libcmt.lib 를 사용하는 반면 tensorflow_cc.dll 는 /DEFAULTLIB:msvc 를 사용하여 만들었습니다.

samhodge 에 2020년 06월 21일

libtensorflow_cc.so-2.params.zip
OK $ core/platform/windows/port.cc 파일에서 port.o 를 찾는 .params 파일을 통해 재귀 grep으로 이 작업을 수행했으며 먼저 libframework_internal_impl.lo 및 liblib_internal_impl.a 에 번들되었습니다. example.obj 가 둘 다에 연결되어 .dll 가 됩니다.

따라서 기호는 두 번 있어야 합니다!

내가 가지고 있는 한 가지 궁금증은 /DEFAULTLIB:msvrt.lib 대 /DEFAULTLIB:libcmt.lib 입니다.

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

example.obj 모든 TF 기호 및 기타 Cool Stuff(tm)에 연결하면 example.dll 가 됩니다. /DEFAULTLIB:libcmt.lib 을 사용하는 반면 tensorflow_cc.dll 는 /DEFAULTLIB:msvcrt.lib 를 사용하여 만들어졌습니다. 이것이 제 모든 번거로움의 원인이 아니라고 생각합니다.

그러나 libtensorflow_cc.so 가 $ libframework_internal_impl.lo 및 liblib_internal_impl.a 를 통해 $ port.cc 를 포함한다는 사실을 두 번 이상 protobuf 기호를 포함하는 상황에 있는 경우 port.cc 는 .proto 파일이 아니지만 일부 소스 파일에서 발생하는 경우 다른 파일에서도 발생할 수 있습니다.

해킹을 시작하기 전입니다.

첨부된 파일 참조, libtensorflow_cc.so-2.params.zip

samhodge 에 2020년 06월 21일

@meteorcloudy @sanjoy @gunan

우리는 두 가지를 설정했습니다

링크할 때 동일한 기호를 두 번 포함하면 예기치 않은 동작이 발생할 수 있습니다.

Tensorflow에는 동일한 기호가 있는 동일한 port.o 파일이 두 번 이상 포함됩니다.

bazel 대상에 대한 입력에 방향성 비순환 그래프 표현이 있는지 확인할 수 있습니까?

Linux 및 MacOS에서 모든 개체 파일의 통합 집합을 가져오는 접근 방식이 이 결과를 달성하는 것 같습니다.

그러나 우리는 65K 문자보다 작은 목록을 통해 인수를 공급하는 것은 말할 것도 없이 2Gb보다 큰 .파일에 직면하게 될 것입니다.

어떻게 진행합니까?

샘

samhodge 에 2020년 06월 22일

동일한 기호를 두 번 포함하면 ODR( 하나의 정의 규칙 )이 발생하고 이는 UB/오류가 발생하기 쉽습니다.

TF에 몇 가지 ODR 위반이 있으므로 식별하고 수정해야 합니다. port.o 이 원인을 찾아주셔서 감사합니다!

mihaimaruseac 에 2020년 06월 22일

다음 결론은 .params 파일을 재귀적으로 검색하여 필요한 모든 개체 파일의 Union 크기를 찾은 다음 6시간 후에 실패한 마지막 시도인 n factorial 미만의 복잡성으로 연결 전략을 만드는 것입니다. 밖

그런 다음 최종 연결이 2GB 미만인지 확인합니다.

파일의 크기가 2Gb보다 크거나 작을 것이므로 테스트 가능한 바이너리 결과라고 생각합니다.

샘

samhodge 에 2020년 06월 22일

어리석은 질문에 죄송하지만 "최종" 해결 방법은 무엇입니까?
C++에서 Windows의 장치 배치에 문제가 있습니다(여러 GPU가 Tensorflow를 실행할 수 있는 경우 기본적으로 특정 GPU에 아무 것도 안정적으로 배치할 수 없음). 이를 options.config.mutable_gpu_options()->set_visible_device_list("0"); 로 해결하여 GPU 0에서 작업하려고 했습니다.

그러나 이것은 충돌로 이어집니다: 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

visible_device_list 및 예를 들어 allocator_type 에 대한 포인터도 동일하기 때문에 이 오류가 이 스레드에서 설명된 내용과 관련이 있을 수 있다고 생각했습니다. .

이 문제를 탐색할 수 있는 방법은 무엇이든 감사합니다!

MikhailStartsev 에 2020년 10월 02일

나는 당신이 잘되기를 바랍니다.

솔루션은 두 가지 문제로 인해 차단되었습니다.

lib protobuf의 기호가 Tensorflow의 기호와 겹치므로 DLL을 동적으로 연결할 수 없습니다.

정적으로 링크하면 2Gb가 더 큰 개체 파일 기호 아카이브로 이어집니다.

그래서 이것이 있는 동안

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

정적 아카이브를 만들기 위해 obj 파일의 모든 기호를 누적하는 데 몇 시간이 걸릴 수 있다고 생각합니다.

samhodge 에 2020년 10월 03일

이것은 도움이 될 수 있습니다

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

samhodge 에 2020년 10월 03일

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