Tensorflow: Windows C++ tensorflow_cc.dll 在“分配器类型”和“可见设备列表”的字符串 gpu 选项之间具有重叠的内存地址

创建于 2020-05-12 · 140评论 · 资料来源: tensorflow/tensorflow

请确保这是一个错误。

标签：bug_template

系统信息

我是否编写了自定义代码（而不是使用 TensorFlow 中提供的股票示例脚本）：是
操作系统平台和发行版（例如，Linux Ubuntu 16.04）：Windows 10
移动设备（例如 iPhone 8、Pixel 2、Samsung Galaxy）如果问题发生在移动设备上：不适用
TensorFlow 安装自（源代码或二进制文件）：源代码
TensorFlow 版本（使用下面的命令）：1.12.0 从 5b900cfe4b3b848f577315a0dde09a729f770e95 分支
Python 版本：不适用
Bazel 版本（如果从源代码编译）：0.19.2
GCC/编译器版本（如果从源代码编译）：MSVC 2015
CUDA/cuDNN 版本：10.0.130、9.2.148
GPU型号和内存：NVIDIA GP100 16Gb

您可以使用我们的环境捕获收集其中一些信息
脚本
您还可以通过以下方式获取 TensorFlow 版本：
不适用

描述当前行为

我正在创建会话，如下改编自原始代码

   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);

这导致

    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.

描述预期的行为

会话仅使用 80% 的可用内存在 GPU 0 上创建和运行

重现问题的独立代码

#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

}

其他信息/日志

请看以下问题
https://github.com/tensorflow/tensorflow/issues/16291
https://github.com/fo40225/tensorflow-windows-wheel/issues/39

我已经构建了我的 tensorflow.dll，如下所示：

$ ENV:USE_BAZEL_VERSION = "0.19.2"
$ ENV:PYTHON_BIN_PATH=C :\ProgramData\Anaconda3\python.exe
$ ENV:路径+= ";C:\msys64\usr\bin"
$ ENV:Path += ";C:\Program Files\NVIDIA GPU 计算工具包CUDA\v9.2\bin"
$ ENV:Path += ";C:\Program Files\NVIDIA GPU 计算工具包CUDA\v9.2\extrasCUPTI\libx64"
$ ENV:Path += ";C:\Program Files\NVIDIA GPU 计算工具包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 计算工具包CUDA\v9.2\"
$ ENV:TF_CUDA_VERSION= "9.2"
$ ENV:CUDNN_INSTALL_PATH= "C:\Program Files\NVIDIA GPU 计算工具包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",""
删除-项目-递归-强制“C:\Windows\system32config\systemprofile_bazel_SYSTEMinstall\75b09cf1ac98c0ffb0534079b30efcc4”
cmd /c "ECHO Y" | & python.exe @params
bazel.exe 清理 --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 //t ensorflow:libtensorflow_cc.so //t ensorflow:libtensorflow_framework.so

已对以下文件进行了编辑：

在里面

张量流/构建

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

变成

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

并且在
tf_cc_shared_object tensorflow/BUILD的功能

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

变成

    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的内容是

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>

正如所记录的
https://github.com/tensorflow/tensorflow/issues/22047#issuecomment -421452033

我的软件链接到来自https://mirror.bazel.build/github.com/google/protobuf/archive/v3.6.0.tar.gz的libprotobuf.lib

建造为

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

我还尝试编辑tensorflow\tf_version_script.lds以包含

*protobuf*

我还尝试了 $#$ #include "tensorflow/core/platform/macros.h" $#$ 中的TF_EXPORT宏

在
tensorflow/core/public/session_options.h
和
tensorflow/core/common_runtime/session_options.cc

正如建议的那样
https://github.com/sitting-duck/stuff/tree/master/ai/tensorflow/build_tensorflow_1.14_source_for_Windows

您对如何确保

分配器类型和可见设备列表的 GPU 选项不共享相同的内存，但我们在 windows 下仍然有一个整体 DLL？

TF 1.12 gpu runtime performance

资料来源

kognat-docs

最有用的评论

好的，所以它是固定的 YAYAYAAYA！

这是输出

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 . . .

文件TFDriver.cpp

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

包括“tensorflow/core/protobuf/config.pb.h”

包括

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;

}

Here is the Visual Studio .xml

调试
Win32

发布
Win32

调试
x64

发布
x64

16.0
Win32项目
{d4eaaa20-e3d3-46ee-b1e9-08ab9200c828}
TFDriver
10.0

应用
真的
v142
统一码

应用
错误的
v142
真的
统一码

应用
真的
v142
统一码

应用
错误的
v142
真的
统一码

真的

错误的

真的

错误的

3级
真的
WIN32;_DEBUG;_CONSOLE;%(预处理器定义)
真的

安慰
真的

3级
真的
真的
真的
WIN32;NDEBUG;_CONSOLE;%(预处理器定义)
真的

安慰
真的
真的
真的

3级
真的
_DEBUG;_CONSOLE;%(预处理器定义)
真的

安慰
真的

3级
真的
真的
真的
NDEBUG;_CONSOLE;%(预处理器定义)
真的
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)

安慰
真的
真的
真的
外部\com_google_absl\absl\numeric\libint128.a
;外部\com_google_absl\abslbase\libspinlock_wait.a
;external\com_google_absl\abslbase\libdynamic_annotations.a
;外部\com_google_absl\abslbase\libbase.a
;外部\com_google_absl\abslbase\libthrow_delegate.a
;external\com_google_absl\absl\strings\libinternal.a
;外部\com_google_absl\absl\strings\libstrings.a
;external\com_google_absl\absl\types\libbad_optional_access.a
;外部\com_google_protobuf\libprotobuf_lite.a
;外部\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
;tensorflow\core\framework\libtensor_proto_cc_impl.lo
;tensorflow\core\util\libsaved_tensor_slice_proto_cc_impl.lo
;tensorflow\core\framework\libsummary_proto_cc_impl.lo
;tensorflow\core\util\libevent_proto_cc_impl.lo
;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
;tensorflow\core\framework\libremote_fused_graph_execute_info_proto_cc_impl.lo
;tensorflow\core\framework\libreader_base_proto_cc_impl.lo
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;%(附加依赖)

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

```

samhodge 于 2020-06-17

👍2 🚀1 ❤1 🎉1

所有140条评论

很明显，这是一个编译和链接问题，这些属性是同一 protobuf 消息的一部分：

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

所以他们寻址的符号将具有相同的名称。

哪个是

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

编译过程如何从上面的 .cc 文件中的消息中为同一 protobuf 符号寻址不同的内存地址。

samhodge 于 2020-05-12

提到类似的问题：
https://github.com/tensorflow/tensorflow/issues/23542

kognat-docs 于 2020-05-13

上面提到的这个 config.proto 文件的目标文件在哪里

我能找到

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

我可以尝试链接，而不是从tensorflow.dll公开符号

但我还没有从那个文件中做一个符号转储，看看是否

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

kognat-docs 于 2020-05-13

这是另一个希望的迹象：

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

kognat-docs 于 2020-05-13

提到@ttdd11 @Steroes @ZhuoranLyu @brantl @sitting-duck 之前已经接近这个问题的人。

kognat-docs 于 2020-05-13

好的，在这里

从我的持续集成测试

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

这是main.cpp

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

int main() {
  tensorflow::GPUOptions gpu_options;

  gpu_options.set_visible_device_list("0");

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

}

现在我会看看我是否可以让它以某种方式工作，这样这两件事就不会相互重叠。

kognat-docs 于 2020-05-14

谁能向我描述如何

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

在同一块内存上变成那两个std::string.c_str() ？

我不是特别了解protobuf和bazel过程。

kognat-docs 于 2020-05-14

这是config.pb.h config.pb.cc的内容
config.pb.h.zip
config.pb.cc.zip

在.\tensorflow-r1.12\bazel-genfiles\tensorflow\core\protobuf中找到

在附加的 .zip 文件中

kognat-docs 于 2020-05-14

这里是control_flow.pb.h和control_flow.pb.cc作为 .zip 文件也来自.\tensorflow-r1.12\bazel-genfiles\tensorflow\core\protobuf

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

kognat-docs 于 2020-05-14

静态版 tensorflow 上的相同代码与 Linux 下相同的代码不共享相同的地址。

samhodge 于 2020-05-15

@sanjoy ，如果您需要任何其他信息，我所做的一切都是由 CI 环境中的可重复脚本触发的，这不是轮盘赌过程，而是可重复的过程。

samhodge 于 2020-05-15

👍1

@gunan你有人在做这个吗？

samhodge 于 2020-05-19

新版本是否会出现此问题？
1.12 肯定在我们的支持窗口之外。我可以尝试在 1.15 上进行探索，但实际上，master 或 2.2 是我最能帮助的。

gunan 于 2020-05-20

@古南

我会尝试一下，但 r1.12+ 需要的硬件指令比我想支持的一些旧硬件更现代，我认为是 AVX、AVX2 和 SSE4

我会看看我是否可以在我认为其他人在 1.15 上报告过的云盒上进行构建我会看看我是否可以在启动一个全新的构建平台之前先找到对此的参考。

山姆

samhodge 于 2020-05-21

听到这个我很惊讶。如果您从源代码构建，您应该能够在没有任何高级指令集的情况下构建。如果发生这种情况，我很乐意帮助解决（我们可以为此创建另一个问题）

gunan 于 2020-05-21

即使使用 r1.12，也需要为 nasm 和 OpenSSL 制定解决方法。我会看看我是否可以在下周的某个时候用 r1.15 重现错误。

samhodge 于 2020-05-22

新版本是否会出现此问题？
1.12 肯定在我们的支持窗口之外。我可以尝试在 1.15 上进行探索，但实际上，master 或 2.2 是我最能帮助的。

我在 1.15.3 上遇到了同样的事情。和其他人一样，例如： https ://github.com/tensorflow/tensorflow/issues/16291#issuecomment -573886148

j-sarge 于 2020-05-28

抱歉，我从来没有时间用 1.15 或 1.14 进行构建，我会看看今天时间是否允许。

samhodge 于 2020-06-02

我目前正在从

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

要查看那里是否存在问题：

工具链是 bazelisk Win 64、Anaconda Python 3、MSYS2，用于补丁和 bash，CUDA 9.2.1.148 CUDNN 7.0.5.56 MSVC 2015 社区在运行 Windows 2019 数据中心版的 AWS 上的 T4 盒子上。

    - $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

以下是哪里

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 于 2020-06-02

现在构建成功完成，构建驱动并查看问题是否存在。

samhodge 于 2020-06-02

六小时后结果与 r1.14 中的 r1.12 相同

samhodge 于 2020-06-02

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 于 2020-06-02

还

tensorflow_cc.lib被称为libtensorflow_cc.dll.ifso ，原因不明。

但我使用了 protobuf 3.7.1 和之前的现有 nsync 和 abseil-cpp

samhodge 于 2020-06-02

从建筑

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

这是r1.15.1

samhodge 于 2020-06-02

编译失败

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.

唯一的变化是

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

上面提到的以下文件是否带有r1.14

r1.15未提及要使用的 bazel 版本

看：

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

我将用bazel 0.26.1再旋转一次，看看是否有所改善。

samhodge 于 2020-06-02

@古南

与“bazel 0.26.1”相同

如果你能给出关于如何构建目标的明确说明，我很乐意用 r1.15 演示这个错误

tensorflow_cc.dll

经测试，文档不包括此版本

没有建议MSVC版本使用bazel版本

山姆

samhodge 于 2020-06-02

@sanjoy @gunan
这是2019年2月在这里报道的

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

它仍然存在于 r1.14

我可以想象该错误仍将存在于 r2.2

其他人可以为我确认吗？

samhodge 于 2020-06-02

好的，继续演出

制作tensorflow_cc.dll如下

在具有 48 个内核和 4 个 T4 图灵卡的 AWS T4 盒子上的 Powershell

安装了以下内容

通过 pacman 打补丁的 msys2
适用于 C++ 的 MSVC 2015 社区版
蟒蛇 Python 3
适用于 Win 64 的 Baselisk
CUDA 工具包 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

其中build-tf.ps1如下

$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

我将等待结果并通过 CMake 构建 abseil、nsync 和 protobuf 以针对驱动程序构建。

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

}

将构建类似于

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;

这是来自 workspace.bzl 的 protobuf 的位置

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

如果需要的话，我会看看是否能找到所需的 abseil-cpp 和 nsync。

samhodge 于 2020-06-04

结局并不好

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

所以我想我安装了 MSVC 2019 并再试一次。

samhodge 于 2020-06-04

@gunan你能请人调查一下吗，这个项目是否有足够的资源来维护 Windows 和 C++？

这是在浪费我的时间

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

samhodge 于 2020-06-04

在 MSVC 2015 上再次尝试使用 master

samhodge 于 2020-06-04

这是来自大师 a7d8140e60d351d25ee3ba8236d8badf975dcada 的错误

使用 MSVC 2015

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

samhodge 于 2020-06-04

与 MSVC 2019 重复如下

AWS 具有 4 个 T4 图灵卡和 48 个虚拟内核以及 190Gb 的 RAM 和 MS Server 2019

基于 Anaconda 的 Python
用于补丁、perl 和 bash 的 MSYS2
MSVC 2019 社区版
Win64 巴泽利斯克

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

脚步：

打开电源外壳
来源buildenv.ps1
git克隆张量流网址
git 结帐 r2.2
来源build-tf.ps1

.tf_configure.bazelrc.zip

附加的 bazel 配置，将报告成功或失败。

samhodge 于 2020-06-04

我们肯定缺少 Windows 方面的专家。
TF 需要 c++14，因此使用 msvc 2015 构建将无法正常工作。

我仍在尝试通过“在“分配器类型”和“可见设备列表”的字符串 gpu 选项之间重叠内存地址”来解析您的意思
您的意思是您正在设置一个字段，而另一个字段被无意更改？

如果是这种情况，那么您的复制是非常间接的。在您的复制代码中，您可以在设置 visible_device_list 之前和之后打印相同的字段吗？
否则，另一个原因可能只是您的 gpu 可能没有 80% 的可用内存。

此外，t ensorflow:GpuOptions是一个简单的协议缓冲区。我看到您单独构建 libprotobuf 并尝试使用它。目前严格不支持该工作流程，我高度怀疑这可能会导致您的协议缓冲区损坏。

gunan 于 2020-06-04

这是 CUDA 9.2.1.148 和 MSVC 2019 的结果

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

所以现在为了傻笑，我将在 MSVC 2017 上运行，看看我是否能走得更远，CUDA Toolkit 9.2.1.148 是兼容性的要求。

samhodge 于 2020-06-04

我仍在尝试通过“在“分配器类型”和“可见设备列表”的字符串 gpu 选项之间重叠内存地址”来解析您的意思
您的意思是您正在设置一个字段，而另一个字段被无意更改？

是的，这就是我的意思，抱歉，如果乞求中不清楚这一点

您能否修改驱动程序以更好地展示我认为它清楚的内容？

如果是这种情况，那么您的复制是非常间接的。在您的复制代码中，您可以在设置 visible_device_list 之前和之后打印相同的字段吗？

是的，我现在可以在 r1.14 中做到这一点。

否则，另一个原因可能只是您的 gpu 可能没有 80% 的可用内存。

此外，t ensorflow:GpuOptions是一个简单的协议缓冲区。我看到您单独构建 libprotobuf 并尝试使用它。目前严格不支持该工作流程，我高度怀疑这可能会导致您的协议缓冲区损坏。

支持的工作流程是什么？

Tensorflow 中没有 protobuf 符号。

samhodge 于 2020-06-04

不幸的是，就我们所见，让事情在 Windows 上运行的唯一可靠方法是静态链接 TF。 Protobuf 确实完全链接到 TF，但是许多符号被隐藏了，因为我们一直在 Windows 上达到 ~64K 符号限制。我们正在努力改进我们的 API，但是随着我们后来添加了 windows 支持，并且只公开了我们在有限的实验中看到的内容，API 表面缺少许多符号。我们可以一起公开一些符号，或者提出一些本地修改/补丁来让你的项目在 windows 上工作。

正如我之前所说，我们在 Windows 上的经验非常有限，因此缺乏很多功能。正如您在此问题上所经历的那样，还努力跟上即将出现的问题。我真的很抱歉。我正在尝试设置一个工作区来尝试您看到的一些问题。我将从一个干净的 libtensorflow_cc 构建开始，然后查看您看到的 protobuf 问题。

同时，如果您可以分享以下代码的输出，那对我来说将非常有帮助。正如我所说，这是一个 protobuf 符号，我将与 protobuf 团队核实，看看他们是否在 Windows 上看到了类似的问题。

#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 于 2020-06-04

好的，感谢您的配合。

从main.cpp

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

int main() {
  tensorflow::GPUOptions gpu_options;

  gpu_options.set_visible_device_list("0");

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

  gpu_options.set_allocator_type("7");

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

  gpu_options.set_visible_device_list("5");

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

  gpu_options.set_allocator_type("3");

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


}

我得到以下输出

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

很抱歉没有更好地解释自己。

samhodge 于 2020-06-04

这是您的代码的输出

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

samhodge 于 2020-06-04

所以我知道如何在构建时通过 r1.12 中的 .lds 文件公开符号

如何在tensorflow_cc.dll中找到 protobuf 的缺失符号

在黑暗中似乎有很多刺伤。

samhodge 于 2020-06-04

我会很高兴静态链接到 TF。

我该怎么做呢？

samhodge 于 2020-06-04

目前，最好的方法是使用 bazel。
您可以创建一个工作区，并将 TF 添加为工作区依赖项。
然后你可以依赖 TF 库作为 bazel 依赖项。

我也会在我的机器上测试你的例子。我还联系了 protobuf 团队，等待他们的回复。

gunan 于 2020-06-04

有没有办法使用云雀来简单地回显链接到最终二进制文件所需的所有 .lib 文件以用作插件？

在构建链中添加对 bazel 的依赖项可能与构建过程的其余部分不兼容。

samhodge 于 2020-06-04

为此，我需要 bazel 专家的帮助。
@hlopko @r4nt @meteorcloudy有没有办法在构建 dll 或 cc_library 后访问 lib 文件？

另外，我只是在本地构建，我能够使用 MSVC 2019 Professional 构建，无需 cuda。用 CUDA 再试一次。

gunan 于 2020-06-04

顺便说一句，我将我的客户端同步到 master 分支的以下提交：e19e2d29d562724ead9e60e1ba4c4ffd91a0eb7a

对于以下两个命令，我能够使用最新可用版本 MSVC 2019 Professional 构建 TF。 MSVC 社区应该产生相同的结果。

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

gunan 于 2020-06-04

@gunan您使用了哪个 CUDA 和 CUDNN？为了Blackmagic Design Compatibility，我被锁定到CUDA 9.2.1.148和CUDNN 7.0.5.56，因为cudnn64_7.dll在路径中，我是他们系统的插件。

samhodge 于 2020-06-04

@hlopko @r4nt @meteorcloudy有没有办法在构建 dll 或 cc_library 后访问 lib 文件？

是的，您可以通过命令行中的--output_groups=interface_library或使用文件组规则在 BUILD 文件中获取 LIB 文件（导入库）。
例如，

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

然后，您可以稍后在 cc_import 规则中使用此 LIB 文件。
请检查这个例子： https ://github.com/bazelbuild/bazel/blob/master/examples/windows/dll/windows_dll_library.bzl

meteorcloudy 于 2020-06-04

明天我将对此进行实验。

感谢您的解释，对我来说还没有意义，但是我的星/天百灵是有限的。

但意图是将其隔离到一个文档中，以便一旦存在 TF 构建，我可以从 ZIP 文件中的 bazel-genfiles 中提取工件并指向每个 .lib 文件以静态链接到我的 TF 插件，这也是链接到其他一些库。

目前没有通过 CMake 或 bazel 进行间接访问，只是一个指向头文件和 .lib 文件的 MSVC 项目。

虽然 bazel 很棒，但在非 Google 项目中从头开始实施可能会受到一些影响，而我还没有克服这一点。

samhodge 于 2020-06-04

顺便说一句，我将我的客户端同步到 master 分支的以下提交： e19e2d2
对于以下两个命令，我能够使用最新可用版本 MSVC 2019 Professional 构建 TF。 MSVC 社区应该产生相同的结果。
bazel build --config=cuda --config=short_logs -c opt tensorflow:tensorflow_cc
bazel build --config=short_logs -c opt tensorflow:tensorflow_cc

你能测试一下你给我的那个司机发生了什么吗？

samhodge 于 2020-06-04

@sanjoy @gunan

早上好，在阿德莱德一个明亮的蓝天早晨。

我查看了以下文档：
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

所以现在我的意图是在 Windows 上构建一个tensorflow_cc_static.lib ，它将包含我所有的符号，用于静态链接到我的应用程序的共享库（ rotobot.ofx ），这意味着我将不再需要链接到tensorflow_cc.dll和(lib)protobuf.dll以及所有 65K 符号限制将成为过去。

您在我的策略中看到任何障碍吗？

samhodge 于 2020-06-05

我最近的失败

使用 CUDA 10.2 和 CUDNN 7.6.5.32

和

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

我会在没有这个语句的情况下再试一次，看看它是否可以编译。

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 于 2020-06-05

编辑：CUDA Toolkit 10.2 会出现这种行为，10.2 是对 9.2 的更新，因为 CUDA Toolkit 9.2.1.148 不支持 MSVC 2019 的 nvcc。MSVC 2017 可能支持 TF 2.0 所需的 C++14。

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

CUDA COMPUTE 3.5 和 3.7 已弃用，因此需要取消渲染并将其锁定到基于 T4 的图灵卡的 7.0，但这不适用于没有基于图灵卡的大量最终用户。

现在它设置为 CUDA 计算 3.5,7.0 只有我会看看它是否编译。

samhodge 于 2020-06-05

MSVC 15 (2017) 和 CUDA Toolkit 9.2.1.148 为您提供最高 7.0 和最低 3.5 的计算能力，同时提供 C++ 语言支持。

samhodge 于 2020-06-05

7a7207f3b6 给了我

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

从

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

我在 48 核的 2019 t4 服务器上的位置

使用 Anaconda Python，用于补丁的 MSYS2 以及 perl 和 bash，CUDA 10.2 CUDNN 7.6.5.32

buildenv.ps1是

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是

$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

这是预期的行为吗？

samhodge 于 2020-06-05

我将重复 r2.2。

samhodge 于 2020-06-05

2b96f3662b 完成。

samhodge 于 2020-06-05

附件是来自 r2.2 的tensorflow\BUILD文件

构建.zip

正在建造的

. .\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的编辑是

添加五行

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

```

samhodge 于 2020-06-05

我的机器上有 cuda 10.1，所以尝试了一下。所以可能是cuda版本不同造成的。
我看到您的一些评论提到了 cuda 9.2，有些提到了 10.2。
我猜10.2的构建成功了吗？

gunan 于 2020-06-05

@hlopko @r4nt @meteorcloudy有没有办法在构建 dll 或 cc_library 后访问 lib 文件？
是的，您可以通过命令行中的--output_groups=interface_library或使用文件组规则在 BUILD 文件中获取 LIB 文件（导入库）。
例如，
    filegroup(
        name = import_lib_name,
        srcs = ["my_dll_target"],
        output_group = "interface_library",
    )
然后，您可以稍后在 cc_import 规则中使用此 LIB 文件。
请检查这个例子： https ://github.com/bazelbuild/bazel/blob/master/examples/windows/dll/windows_dll_library.bzl

是的，这只是制作一个已经存在的文件

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

它只有 39M，而tensorflow_cc.dll文件是 320Mb

需要的是 tensorflow_cc.lib 的静态版本，其中包含进行推理或训练的所有符号或tensorflow_cc.dll必须提供的任何东西

我认为通信出现错误，因为 protobuf 的符号没有暴露，我需要能够静态链接到.lib tensorflow_cc.dll所以使用头文件和-L tensorflow_cc_static.lib这将提供所有符号。

samhodge 于 2020-06-05

我的机器上有 cuda 10.1，所以尝试了一下。所以可能是cuda版本不同造成的。
我看到您的一些评论提到了 cuda 9.2，有些提到了 10.2。
我猜10.2的构建成功了吗？

是的，它确实成功了。

samhodge 于 2020-06-05

再试一次

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

samhodge 于 2020-06-05

我们在这里绕圈子： @meteorcloudy

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

samhodge 于 2020-06-05

这是构建//tensorflow:tensorflow_cc_static.lib的结果

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

我们如何将上面文件组捕获的输入tensorflow_cc.dll放入存档中？

samhodge 于 2020-06-05

我在偷偷摸摸

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
)

我想我可能会遇到传递链接问题。

samhodge 于 2020-06-05

以上是不行的

尝试

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 于 2020-06-05

我认为我还需要引入 tensorflow_framework 才能使上述工作正常工作，但我会让它冒出来看看会发生什么。

samhodge 于 2020-06-05

我只是还注意到，如果我确实想动态链接，则tensorflow_cc.lib有一条规则， @gunan建议这不是解决此问题的方法，而是获取tensorflow_cc.dll的静态版本来自bazel，但我认为它不起作用，我会再尝试一个小时。

samhodge 于 2020-06-05

好的，现在我有一堆 .a 文件

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

我假设我可以将这些链接到 Linux 上的.a文件中，而我的符号将只是“在那里”

我希望有一个大的，我会继续努力的。

samhodge 于 2020-06-05

也许我没有我想的那么愚蠢
@hlopko @meteorcloudy

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

如果无论如何要制作.a文件的通配符，这些文件已复制到filegroup中的 bazel-bin

samhodge 于 2020-06-05

我想把它加到tensorflow/BUILD的末尾

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"],
)

和建设//tensorflow:tensorflow_cc_static应该工作

samhodge 于 2020-06-05

如果无论如何要制作复制到文件组中 bazel-bin 的 .a 文件的通配符

@oquenchil是我们的 C++ 专家！在 Starlark 中收集所有传递对象文件或 .a 文件的方法是什么？

meteorcloudy 于 2020-06-05

我认为使用我们的 C++ Starlark API，我们可以收集所有可传递的 lib 文件。
https://docs.bazel.build/versions/master/skylark/lib/CcInfo.html
相关问题： https ://github.com/bazelbuild/bazel/issues/1920

meteorcloudy 于 2020-06-05

我并不是想在 bazel 上投下阴影，它在大多数事情上确实做得很好。但是在我使用的许多 CMake 项目中，您只需添加 -DBUILD_SHARED_LIBS=0 并弹出一个静态存档。鉴于此功能是在 2016 年提出的。我想我可能只是使用 Python glob 并将其混搭，看看静态链接是否能解决这个问题。

samhodge 于 2020-06-05

使用 Python 我能够组装相关的.a文件

蟒蛇很简单

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))

结果是一个史诗般的文件列表

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
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C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\util\tensor_bundle\libnaming.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\util\tensor_bundle\libtensor_bundle.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\platform\default\libdso_loader.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\boringssl\libcrypto.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\boringssl\libssl.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libalts_frame_protector.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libalts_upb.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libalts_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libcensus.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libenvoy_ads_upb.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libenvoy_core_upb.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libenvoy_orca_upb.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libenvoy_type_upb.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgoogle_api_upb.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgpr_base.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc++.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc++_base.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc++_codegen_base_src.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_base.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_base_c.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_client_authority_filter.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_client_channel.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_client_idle_filter.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_deadline_filter.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_health_upb.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_http_filters.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_lb_policy_cds_secure.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_lb_policy_grpclb_secure.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_lb_policy_pick_first.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_lb_policy_round_robin.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_lb_policy_xds_secure.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_lb_upb.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_max_age_filter.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_message_size_filter.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_resolver_dns_ares.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_resolver_dns_native.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_resolver_dns_selection.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_resolver_fake.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_resolver_sockaddr.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_resolver_xds_secure.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_secure.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_server_backward_compatibility.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_trace.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_transport_chttp2.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_transport_chttp2_alpn.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_transport_chttp2_client_connector.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_transport_chttp2_client_insecure.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_transport_chttp2_client_secure.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_transport_chttp2_server.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_transport_chttp2_server_insecure.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_transport_chttp2_server_secure.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_transport_inproc.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_workaround_cronet_compression_filter.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_xds_client_secure.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libproto_gen_validate_upb.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libtsi.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libtsi_interface.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_googlesource_code_re2\libre2.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_protobuf\libprotobuf_lite.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_protobuf\libprotoc_lib.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\double_conversion\libdouble-conversion.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\farmhash_archive\libfarmhash.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\fft2d\libfft2d.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\gif\libgif.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\highwayhash\libarch_specific.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\highwayhash\libsip_hash.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\icu\libicuuc.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\jsoncpp_git\libjsoncpp.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\libjpeg_turbo\libjpeg.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\libjpeg_turbo\libsimd_win_x86_64.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\lmdb\liblmdb.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\mkl_dnn\libmkldnn_single_threaded.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\nsync\libnsync_cpp.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\org_sqlite\liborg_sqlite.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\png\libpng.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\snappy\libsnappy.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\upb\libupb.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\zlib\libzlib.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\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

所以没有链接任何东西，这些都是缺失的符号

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 ==========

添加以下内容后

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
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C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\util\rpc\librpc_factory.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\util\rpc\librpc_factory_registry.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\util\tensor_bundle\libnaming.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\util\tensor_bundle\libtensor_bundle.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\platform\default\libdso_loader.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\boringssl\libcrypto.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\boringssl\libssl.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libalts_frame_protector.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libalts_upb.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libalts_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libcensus.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libenvoy_ads_upb.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libenvoy_core_upb.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libenvoy_orca_upb.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libenvoy_type_upb.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgoogle_api_upb.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgpr_base.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc++.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc++_base.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc++_codegen_base_src.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_base.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_base_c.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_client_authority_filter.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_client_channel.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_client_idle_filter.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_deadline_filter.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_health_upb.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_http_filters.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_lb_policy_cds_secure.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_lb_policy_grpclb_secure.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_lb_policy_pick_first.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_lb_policy_round_robin.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_lb_policy_xds_secure.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_lb_upb.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_max_age_filter.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_message_size_filter.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_resolver_dns_ares.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_resolver_dns_native.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_resolver_dns_selection.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_resolver_fake.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_resolver_sockaddr.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_resolver_xds_secure.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_secure.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_server_backward_compatibility.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_trace.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_transport_chttp2.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_transport_chttp2_alpn.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_transport_chttp2_client_connector.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_transport_chttp2_client_insecure.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_transport_chttp2_client_secure.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_transport_chttp2_server.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_transport_chttp2_server_insecure.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_transport_chttp2_server_secure.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_transport_inproc.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_workaround_cronet_compression_filter.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_xds_client_secure.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libproto_gen_validate_upb.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libtsi.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libtsi_interface.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_googlesource_code_re2\libre2.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_protobuf\libprotobuf_lite.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_protobuf\libprotoc_lib.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\double_conversion\libdouble-conversion.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\farmhash_archive\libfarmhash.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\fft2d\libfft2d.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\gif\libgif.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\highwayhash\libarch_specific.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\highwayhash\libsip_hash.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\icu\libicuuc.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\jsoncpp_git\libjsoncpp.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\libjpeg_turbo\libjpeg.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\libjpeg_turbo\libsimd_win_x86_64.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\lmdb\liblmdb.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\mkl_dnn\libmkldnn_single_threaded.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\nsync\libnsync_cpp.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\org_sqlite\liborg_sqlite.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\png\libpng.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\snappy\libsnappy.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\upb\libupb.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\zlib\libzlib.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\src\compiler\libgrpc_plugin_support.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\third_party\address_sorting\libaddress_sorting.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\base\libbase.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\base\libdynamic_annotations.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\base\libmalloc_internal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\base\libspinlock_wait.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\base\libthrow_delegate.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\container\libhashtablez_sampler.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\container\libraw_hash_set.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\debugging\libdebugging_internal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\debugging\libdemangle_internal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\debugging\libleak_check.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\debugging\libstacktrace.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\debugging\libsymbolize.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\flags\libconfig.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\flags\libflag.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\flags\libhandle.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\flags\libinternal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\flags\libmarshalling.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\flags\libregistry.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\hash\libcity.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\hash\libhash.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\numeric\libint128.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\strings\libinternal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\strings\libstrings.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\strings\libstr_format_internal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\synchronization\libgraphcycles_internal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\synchronization\libsynchronization.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\time\libtime.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\types\libbad_optional_access.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\types\libbad_variant_access.a

缺少以下符号

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.

这是编译的结果

#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;

}

使用 MSVC 2019

以下项目。

<?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>
      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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>

开发者.zip

@古南
所以我的问题如下：

如果您无法链接到libprotobuf.lib以提供tensorflow_cc.dll的符号，并且您需要静态链接，您该怎么做？

你能编译代码main.cpp并告诉我静态链接的结果吗？

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 于 2020-06-09

我早些时候看了一点，似乎 tensorflow/core/protobuf 中的 config.proto 缺少符号，虽然可以找到 .o 文件，但我无法按照 bazel 间接路径中的路径查看这些目标文件最终出现在 .a 对象档案之一中，显然它们不会或符号不会丢失。

但这是问题的一部分吗？

.proto 文件生成了一个 .cc 文件，该文件又生成了目标文件，但也创建了标头，我不确定标头是否将符号声明为已公开。

早上我会尝试将 .o 文件添加到其他库中。但是添加库和库有字符限制，因此可能无法添加每个目标文件。

这导致将静态 .lib .a 和 .o 文件填充到一个大型静态存档中。

这应该在 Linux 和 macOS 下使用 bazel 完成，使用 ar 在 shell 上使用大字号，它可以从目标文件中完成。

@古南
我们可以为 C++ 和 Tensorflow 提供静态目标吗？

samhodge 于 2020-06-09

我认为这是合理的。
@meteorcloudy我们如何创建一个目标，它将是上面挖掘的单个 .a 文件@samhodge的组合？ bazel可以合并这些吗？

gunan 于 2020-06-09

🚀1 🎉1

链接到以下内容
导致以下缺失符号

见附件
输出.zip

编译时

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

使用包含文件作为

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

编译成功，链接失败如上。

samhodge 于 2020-06-10

谢谢，我稍后再试试。

------------------ 原始邮件 ------------------
发件人：“Sam Hodge”<[email protected] >；
发送时间: 2022年10月10日(早上6点8:55)
严密：“张量流/张量流”< [email protected]；
抄送：“已订阅”< [email protected]>；
主题： Re: [tensorflow/tensorflow] Windows C++ tensorflow_cc.dll 在“分配器类型”和“可见设备列表”的字符串 gpu 选项之间有重叠的内存地址 (#39439)

链接到以下内容
导致以下缺失符号

见附件
输出.zip

编译时
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_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_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 在\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_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_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_impl*.o C:\Users\管理员\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\管理员\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\管理员\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\管理员\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
使用包含文件作为
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
编译成功，链接失败如上。

—
您收到此消息是因为您订阅了此线程。
直接回复此邮件，在 GitHub 上查看，或退订。

hunim 于 2020-06-10

我很困惑。我看到您正在获取 com_google_protobuf 下的 .a 文件。我不知道您是如何看到符号错误的。

gunan 于 2020-06-10

我很困惑。我看到您正在获取 com_google_protobuf 下的 .a 文件。我不知道您是如何看到符号错误的。

是的，这似乎令人费解，如果其他人想自己尝试，这本质上是从r2.2创建的工件并使用 CUDA 10.2 使用 Visual Studio 2019 定义的构建目标//tensorflow:tensorflow_cc.dll 。

samhodge 于 2020-06-10

我很困惑。我看到您正在获取 com_google_protobuf 下的 .a 文件。我不知道您是如何看到符号错误的。

如果您不包括从.proto .o文件，则唯一缺少的符号是

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.

包括 C++ protobuf .proto目标的.o文件将此列表扩展为近 200 个缺失符号。

samhodge 于 2020-06-10

@meteorcloudy @sanjoy @gunan

自从提出此问题以来，已经过去了一个月。

我已经尝试了所有要求我的方法，但我们仍然无法运行不到 20 行的复制案例。

旅程涉及创建一个完整且可重现的编译时间和运行时环境。

现在我在链接时缺少两个符号 GPUOptions C++ 构造函数和析构函数作为 C 声明，表明它们应该被动态链接

但我们正在尝试静态链接。

我的下一步是查看由 GitHub 中的 .proto 文件制作的 .cc 中间文件，以查看丢失的符号是否以黑白形式存在。

从那里我们只能看到两个结果

符号在那里，我们遵循链接过程

缺少符号，我们查看上游以将 GPUOptions 构造函数和析构函数添加到 .lds 文件中的 DEF 列表中，以确保将 .proro 转换为可执行文件与软件的预期行为一致

但这是一个动态链接解决方案，我被告知最好的解决方案是静态链接以克服 Windows 中的 65K 符号限制

由于没有关于 bazel 打算如何进行此过程的设计文档

我依靠 Tensorflow 团队来指导我。

或者我只是不停地做假设，然后用实验来测试它们，这是对我有限资源的一种不好的利用

我可以请一些指导吗？

山姆

samhodge 于 2020-06-11

把这个留在这里供我以后参考

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

samhodge 于 2020-06-11

萨姆你好，
感谢您的反馈。
正如我上面提到的，我没有想法，我们正处于需要 bazel on windows 专业知识来帮助我们解释其中一些的地步。

不幸的是，bazel 团队位于德国。他们也有不同的假期安排，不同的约束和流程来响应来自 github 的问题。和你一样，我也在等待他们的一些反馈和指导。

gunan 于 2020-06-11

感谢您的透明度，它肯定有助于挫败感

如果时间允许，我将在今天早上进行进一步的实验

我真的很感激你能给的任何东西

干杯!

samhodge 于 2020-06-11

请参阅 config.proto 中的config.pb.h和config.pb.cc config.proto

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

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

protobuf.zip

我将粘贴相关的代码：

#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();
}

我们可以看到这些符号没有被cdecl包裹

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

所以符号不见了。

我会尝试编辑：

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

添加*GPUOptions*

然后看看事情的发展方向。

samhodge 于 2020-06-15

我今天花一点时间在这上面

但是有两种解决方法

看到这个评论https://github.com/tensorflow/tensorflow/issues/23542#issuecomment -464730964

而在这个线程上TF_EXPORT宏在暴露符号的同时，也不是通过一层.proto对.pb.cc和.pb.h进行编译。

所以我们需要一种机制来暴露通过protobuf编译的符号

samhodge 于 2020-06-15

好的，我确实取得了一些进展

从这个程序

@gunan推荐的 C++ 驱动程序

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

int main() {
    tensorflow::GPUOptions gpu_options;

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



}

MSVC 2019 的输出

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 . . .

包含目录如下：

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)

它与

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)

这些是从哪里创建的工件

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

脚本包含在哪里

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

此外
这个 C++ 驱动程序

#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; 


}

生产

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 于 2020-06-15

所以@sanjoy @gunan @meteorcloudy你现在如何使用r2.2 CUDA 10.2 MSVC 2019 和上面列出的 CUDNN 版本进行复制。

这是我的git diff

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

samhodge 于 2020-06-15

🚀1 🎉1 👍1

看着这个：

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);
  }

这是否会导致分配器类型和可见 gpu 列表位于同一字符串上。

samhodge 于 2020-06-15

@samhodge

我编写了一个win_cc_static_library规则来构建一个静态 cc 库，该库链接到 Windows 上所有给定的传递依赖。请检查它是否有帮助。

meteorcloudy 于 2020-06-15

如果时间允许，我将在大约 7 小时后尝试

因此，只需在 //t ensorflow:tensorflow_cc.dll目标上拥有相同的依赖项并为其命名，就会发生奇迹，我可以链接到 .a 或 .lib 文件，而无需公开任何额外的符号？

这是正确的@meteorcloudy吗？

samhodge 于 2020-06-15

好的，我找到了一些时间

这是我的方法：

克隆 r2.2
将win_cc_static_library.bzl文件添加到 tensorflow 目录

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"],
)

修改 tensorflow 中的tensorflow\BUILD以另外包含

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

和

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"]),
)

然后源以下buildenv.ps1作为. .\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

然后获取bazel powershell脚本

$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

那似乎正在建立，然后我将只链接到它，看看是否缺少符号。

如果是，我会将*GPUOptions*添加到相关的.lds文件中

samhodge 于 2020-06-15

longtime
大约 6 小时后，文件

    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 ...

没有编译，所以我删除了 .obj 文件并再次开始认为这是文件系统中的一个故障，它们会快速构建。

我想我可以让机器开机一夜，看看会发生什么。

samhodge 于 2020-06-16

差不多两个小时后，这台 48 核机器和三个目标阻塞了另外两个下游目标。

    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 于 2020-06-16

看起来像https://github.com/tensorflow/tensorflow/issues/10521
您是否在.tf_configure.bazelrc文件中指定了build --define=override_eigen_strong_inline=true ？

meteorcloudy 于 2020-06-16

我不确定，但这是最新的

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 于 2020-06-16

静态库太大了，那么从哪里开始呢？

samhodge 于 2020-06-16

奇怪的是静态库的总大小会超过 2GB 的限制，而 DLL 只有几十 MB？
您可以检查bazel-out/x64_windows-opt/bin/tensorflow/tensorflow_cc_static.lib.params以查看它尝试链接的库吗？也许我们可以先对规则进行一些修改以过滤一些不需要的依赖项。

meteorcloudy 于 2020-06-16

这也可能是没有--define=override_eigen_strong_inline=true作为构建选项的结果，这可能导致 obj 文件非常大。
您可以尝试使用--define=override_eigen_strong_inline=true进行重建吗？

meteorcloudy 于 2020-06-16

我可以尽快尝试，我检查的时候只是深夜，所以为了节省一些资源，我在一夜之间关闭了大型云实例。

感谢您的建议@meteorcloudy ，您非常乐于助人。 bazel 宏与我们应该回到游戏中的内联选项一起发挥了魅力

samhodge 于 2020-06-16

可以从https://github.com/tensorflow/tensorflow/issues/39439#issuecomment -644408408 重复步骤，除了

--define=override_eigen_strong_inline=true

samhodge 于 2020-06-16

可以重复#39439（注释）中的步骤，除了
--define=override_eigen_strong_inline=true

这似乎已经修复它现在构建得更快，希望文件大小也会更小。

samhodge 于 2020-06-17

它刚刚以以下消息突然结束

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 于 2020-06-17

静态库如此之大，我并不感到惊讶。在创建动态库或可执行文件时，最后一个链接步骤可以删除很多东西。当您将生成的静态库提供给最终链接器并创建更小的二进制文件时会发生什么。

关于那个失败，我不确定，因为被投诉的文件不是标题。

gunan 于 2020-06-17

我正在用一个新的克隆重复，看看它是否可重复。

最初的 git clone 确实有问题，它卡住了，我再次启动它而没有删除所有文件，也许有一些损坏的文件。

samhodge 于 2020-06-17

同样的问题

但是使用内联选项可以更快地交付。

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 于 2020-06-17

作为一个狡猾的魔鬼，这不会阻止我

我有这个C:\Users\Administrator\dev\attempt6\tensorflow\bazel-out\x64_windows-opt\bin\tensorflow\tensorflow_cc_static.params

/nologo
/MACHINE:X64
/OUT:bazel-out/x64_windows-opt/bin/tensorflow/tensorflow_cc_static.lib
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/numeric/libint128.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/base/libspinlock_wait.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/base/libdynamic_annotations.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/base/libbase.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/base/libthrow_delegate.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/strings/libinternal.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/strings/libstrings.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/types/libbad_optional_access.a
bazel-out/x64_windows-opt/bin/external/com_google_protobuf/libprotobuf_lite.a
bazel-out/x64_windows-opt/bin/external/com_google_protobuf/libprotobuf.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/protobuf/libxplane_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/util/libtest_log_proto_impl_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/util/libmemmapped_file_system_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libversions_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libtypes_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libtensor_slice_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libtensor_shape_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libresource_handle_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libtensor_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/util/libsaved_tensor_slice_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libsummary_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/util/libevent_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/liberror_codes_proto_impl_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/lib/core/liberror_codes_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libvariable_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/liballocation_description_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libtensor_description_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libstep_stats_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libattr_value_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libop_def_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libnode_def_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libfunction_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libgraph_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libremote_fused_graph_execute_info_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libreader_base_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/liblog_memory_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libkernel_def_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libgraph_transfer_info_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libdevice_attributes_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libcost_graph_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libapi_def_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/example/libexample_parser_configuration_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/example/libexample_protos_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/libcore_protos_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/grappler/costs/libop_performance_data_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/stream_executor/libdnn_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/libconv_autotuning_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/libautotuning_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/external/double_conversion/libdouble-conversion.a
bazel-out/x64_windows-opt/bin/external/zlib/libzlib.a
bazel-out/x64_windows-opt/bin/external/snappy/libsnappy.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/windows/libenv_time.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/default/liblogging.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/libstr_util.a
bazel-out/x64_windows-opt/bin/external/nsync/libnsync_cpp.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/default/libmutex.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/libstringprintf.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/libnumbers.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/libstrcat.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/windows/libstacktrace.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/libstatus.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/time/internal/cctz/libcivil_time.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/time/internal/cctz/libtime_zone.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/time/libtime.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/libhash.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/default/libtracing.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/libsetround.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/base/libmalloc_internal.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/debugging/libdemangle_internal.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/debugging/libdebugging_internal.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/debugging/libsymbolize.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/debugging/libstacktrace.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/synchronization/libgraphcycles_internal.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/synchronization/libsynchronization.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/container/libhashtablez_sampler.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/container/libraw_hash_set.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/types/libbad_variant_access.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/hash/libcity.a
bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/hash/libhash.a
bazel-out/x64_windows-opt/bin/external/com_googlesource_code_re2/libre2.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/libprotobuf.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/windows/libplatform_port.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/libscanner.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/libpath.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/windows/libwide_char.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/windows/libload_library.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/liberror.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/libdenormal.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/windows/liberror_windows.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/windows/libenv.a
bazel-out/x64_windows-opt/bin/tensorflow/core/util/libreporter.a
bazel-out/x64_windows-opt/bin/tensorflow/core/util/libenv_var.a
bazel-out/x64_windows-opt/bin/external/highwayhash/libarch_specific.a
bazel-out/x64_windows-opt/bin/external/highwayhash/libsip_hash.a
bazel-out/x64_windows-opt/bin/external/fft2d/libfft2d.a
bazel-out/x64_windows-opt/bin/external/farmhash_archive/libfarmhash.a
bazel-out/x64_windows-opt/bin/external/libjpeg_turbo/libsimd_win_x86_64.a
bazel-out/x64_windows-opt/bin/external/libjpeg_turbo/libjpeg.a
bazel-out/x64_windows-opt/bin/external/gif/libgif.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/default/libunbounded_work_queue.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/libcoding.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/libtensor_coding.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/windows/libsubprocess.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/windows/libstacktrace_handler.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/default/libresource.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/libplatform_strings.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/windows/libnet.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/liblogger.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/libcpu_feature_guard.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/libbase64.a
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/libabi.a
bazel-out/x64_windows-opt/bin/tensorflow/core/lib/strings/libproto_text_util.a
bazel-out/x64_windows-opt/bin/tensorflow/core/lib/strings/libproto_serialization.a
bazel-out/x64_windows-opt/bin/tensorflow/core/lib/strings/libordered_code.a
bazel-out/x64_windows-opt/bin/tensorflow/core/lib/bfloat16/libbfloat16.a
bazel-out/x64_windows-opt/bin/tensorflow/core/lib/random/libphilox.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/lib/random/libweighted_picker.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/platform/librandom.a
bazel-out/x64_windows-opt/bin/tensorflow/core/lib/histogram/libhistogram.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/lib/monitoring/libcollection_registry.a
bazel-out/x64_windows-opt/bin/tensorflow/core/lib/monitoring/libsampler.a
bazel-out/x64_windows-opt/bin/tensorflow/core/lib/monitoring/libpercentile_sampler.a
bazel-out/x64_windows-opt/bin/tensorflow/core/lib/io/libzlib_compression_options.lo
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libscan_ops_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libscan_ops.lo
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libnextafter_op.lo
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libfft_ops.lo
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libsummary_audio_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/liblogging_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/liblookup_table_op.lo
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/liblinalg_ops_common.a
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libtridiagonal_matmul_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libsvd_op_gpu.lo
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libself_adjoint_eig_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libmatrix_band_part_op_gpu.lo
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libeye_functor_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libqr_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libmatrix_triangular_solve_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libmatrix_square_root_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libmatrix_solve_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libmatrix_solve_ls_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libmatrix_logarithm_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libmatrix_inverse_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libmatrix_exponential_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/liblu_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/liblu_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libeinsum_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libeinsum_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libeig_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libdeterminant_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libdeterminant_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libcholesky_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libcholesky_grad.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libreader_base.a
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libwhole_file_read_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libtf_record_reader_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libtext_line_reader_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libsave_restore_tensor.a
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libsave_restore_v2_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libsave_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/librestore_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libreader_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libmatching_files_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/liblmdb_reader_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libidentity_reader_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libfixed_length_record_reader_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libsampling_kernels.a
bazel-out/x64_windows-opt/bin/tensorflow/core/libjpeg_internal.a
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bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libtsi_interface.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_transport_chttp2_alpn.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_base_c.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_base.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_http_filters.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_transport_chttp2.a
bazel-out/x64_windows-opt/bin/external/upb/libupb.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_health_upb.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_deadline_filter.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_client_authority_filter.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgoogle_api_upb.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libproto_gen_validate_upb.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libenvoy_orca_upb.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_client_channel.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_transport_chttp2_client_connector.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_transport_chttp2_client_insecure.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libalts_upb.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libalts_util.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libalts_frame_protector.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libtsi.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_secure.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc++_codegen_base_src.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_transport_chttp2_server.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_transport_chttp2_server_secure.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_transport_chttp2_client_secure.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libenvoy_type_upb.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libenvoy_core_upb.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libenvoy_ads_upb.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_xds_client_secure.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_resolver_xds_secure.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_lb_policy_xds_secure.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_resolver_fake.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_lb_upb.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_lb_policy_grpclb_secure.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_lb_policy_cds_secure.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_server_backward_compatibility.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_workaround_cronet_compression_filter.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_transport_inproc.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_transport_chttp2_server_insecure.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_resolver_sockaddr.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_resolver_dns_selection.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_resolver_dns_native.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/third_party/address_sorting/libaddress_sorting.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_resolver_dns_ares.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_message_size_filter.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_max_age_filter.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_client_idle_filter.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_lb_policy_round_robin.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_lb_policy_pick_first.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libcensus.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc++_base.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc++.a
bazel-out/x64_windows-opt/bin/tensorflow/core/libeager_service_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libremote_device.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libtensor_coding.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/librequest_id.a
bazel-out/x64_windows-opt/bin/tensorflow/core/debug/libdebugger_event_metadata_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/libprotos_all_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/debug/libdebug_service_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/debug/libdebug_node_key.a
bazel-out/x64_windows-opt/bin/tensorflow/core/debug/libdebug_callback_registry.a
bazel-out/x64_windows-opt/bin/tensorflow/core/debug/libdebug_io_utils.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libdebug_ops_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libdebug_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/debug/libdebug_graph_utils.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/debug/libdebugger_state_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/debug/libdebug.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libgraph_mgr.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libworker_session.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libbase_rendezvous_mgr.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/librpc_rendezvous_mgr.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/utils/libxplane_visitor.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/utils/libxplane_schema.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/utils/libxplane_builder.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/utils/libxplane_utils.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/utils/libgroup_events.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/utils/libtf_op_utils.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/utils/libderived_timeline.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/convert/libxplane_to_trace_events.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libprofiler_factory_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/lib/libprofiler_utils.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/lib/libprofiler_session_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libsession_mgr.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/librecent_request_ids.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libpartial_run_mgr.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libworker.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/libgrpc_util.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/libgrpc_worker_service_impl.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/libgrpc_tensor_coding.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/libgrpc_response_cache.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/libgrpc_worker_service.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/libgrpc_state.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/libgrpc_channel.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/eager/libgrpc_eager_client.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libworker_cache_partial.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libworker_cache_logger.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/libgrpc_remote_worker.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/libgrpc_worker_cache.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libdevice_resolver_distributed.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libcollective_rma_distributed.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libcollective_param_resolver_distributed.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/librpc_collective_executor_mgr.a
bazel-out/x64_windows-opt/bin/tensorflow/core/common_runtime/eager/libprocess_function_library_runtime.a
bazel-out/x64_windows-opt/bin/tensorflow/core/common_runtime/eager/libattr_builder.a
bazel-out/x64_windows-opt/bin/tensorflow/core/common_runtime/eager/libkernel_and_device.a
bazel-out/x64_windows-opt/bin/tensorflow/core/common_runtime/eager/libeager_executor.a
bazel-out/x64_windows-opt/bin/tensorflow/core/common_runtime/eager/libcontext.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/eager/libremote_tensor_handle_data.a
bazel-out/x64_windows-opt/bin/tensorflow/core/common_runtime/eager/libtensor_handle_data.a
bazel-out/x64_windows-opt/bin/tensorflow/core/common_runtime/eager/libtensor_handle.a
bazel-out/x64_windows-opt/bin/tensorflow/core/common_runtime/eager/libeager_operation.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/eager/libremote_mgr.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/eager/libremote_copy_node.a
bazel-out/x64_windows-opt/bin/tensorflow/core/common_runtime/eager/libshape_inference.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/eager/libremote_execute_node.a
bazel-out/x64_windows-opt/bin/tensorflow/core/common_runtime/eager/libeager_op_rewrite_registry.a
bazel-out/x64_windows-opt/bin/tensorflow/core/common_runtime/eager/libexecute.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/eager/libcluster_function_library_runtime.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/eager/libeager_service_impl.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/eager/libgrpc_eager_service_impl.a
bazel-out/x64_windows-opt/bin/tensorflow/core/example/libexample_parser_configuration.lo
bazel-out/x64_windows-opt/bin/tensorflow/stream_executor/cuda/libcupti_stub.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/gpu/libcupti_wrapper.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/gpu/libcupti_utils.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/gpu/libcupti_tracer.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libparse_annotation.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/gpu/libdevice_tracer.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/cpu/libhost_tracer_utils.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/cpu/libhost_tracer.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/libdirect_session_internal.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libscheduler.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libmaster_session.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libmaster.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/liblocal_master.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/libgrpc_master_service_impl.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/libgrpc_master_service.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/libgrpc_server_lib.lo
bazel-out/x64_windows-opt/bin/tensorflow/c/eager/libc_api.lo
bazel-out/x64_windows-opt/bin/tensorflow/cc/libclient_session.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/libtfprof_options.a
bazel-out/x64_windows-opt/bin/tensorflow/c/libcheckpoint_reader.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_utils.a
bazel-out/x64_windows-opt/bin/external/jsoncpp_git/libjsoncpp.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_node.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_node_show.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_timeline.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_tensor.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_show.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_scope.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_show_multi.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_op.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_graph.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_code.a
bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_stats.a
bazel-out/x64_windows-opt/bin/tensorflow/cc/profiler/libprofiler.a

我可以用它来链接到我的驱动程序。

祝我好运！

samhodge 于 2020-06-17

好的，所以它是固定的 YAYAYAAYA！

这是输出

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 . . .

文件TFDriver.cpp

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

包括“tensorflow/core/protobuf/config.pb.h”

包括

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;

}

Here is the Visual Studio .xml

samhodge 于 2020-06-17

👍2 🚀1 ❤1 🎉1

作为记录，该文件的大小为 1.3Mb。

samhodge 于 2020-06-17

非常感谢您的支持，这是一个棘手的问题，现在我需要考虑使用 CUDA 9.2.1.148 和相关的 CUDNN 针对 MSVC 2017 进行构建，如果结果有问题，我将开一张新票。

samhodge 于 2020-06-17

我将尝试使用旧版本的 tensorflow 和 MSVC 2015 进行实验，看看 bazel 修复是否仍然有效。

samhodge 于 2020-06-17

bazel 0.19.2 不知道 CcInfo

@meteorcloudy
你知道哪个版本的 bazel 引入了这个功能，并且仍然会编译 tensorflow r1.12 吗？

我不再能够在您的解决方案中使用 r1.12 这个问题我将不得不提出一个新计划，其中涉及使用 MSVC 2017 和 r2.2 我认为。

很抱歉浪费您的时间。

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

samhodge 于 2020-06-17

@samhodge很高兴它有帮助！
如果是构建DLL的静态库列表帮助您解决了问题，您也可以从DLL的参数文件中获取列表，这样您就根本不需要cc_static_library规则。

meteorcloudy 于 2020-06-17

@samhodge很高兴它有帮助！
如果是构建DLL的静态库列表帮助您解决了问题，您也可以从DLL的参数文件中获取列表，这样您就根本不需要cc_static_library规则。

所以这可能是个好主意，那还需要 CcInfo 吗？

samhodge 于 2020-06-18

所以这可能是个好主意，那还需要 CcInfo 吗？

不，参数文件是由 Bazel 中的原生 cc 规则生成的（用 Java 代码编写的）。

meteorcloudy 于 2020-06-18

非常好，所以 .lib 和 .a 以及 .lo 和 .obj 文件作为 .dll 的输入对于静态链接来说是可以的，它将是与位置无关的代码吗？

samhodge 于 2020-06-18

您认为 .params 文件中的顺序是否重要？

samhodge 于 2020-06-18

非常好，所以 .lib 和 .a 以及 .lo 和 .obj 文件作为 .dll 的输入对于静态链接来说是可以的，它将是与位置无关的代码吗？

我相信是这样

您认为 .params 文件中的顺序是否重要？

不确定，但我会尽量保持库的顺序。

meteorcloudy 于 2020-06-18

我将尝试使用我已经拥有的 r1.12 工件，看看它是否按预期工作。

这是我正在使用的.params文件

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
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/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/common_runtime/eager/libkernel_and_device.a
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/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/grappler/optimizers/libarithmetic_optimizer.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/grappler/optimizers/libgraph_optimizer_stage.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/grappler/optimizers/libauto_parallel.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/grappler/optimizers/libdebug_stripper.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/grappler/optimizers/libdependency_optimizer.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/grappler/optimizers/libexperimental_implementation_selector.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/grappler/optimizers/libcustom_graph_optimizer_registry_impl.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/grappler/optimizers/libfunction_api_info.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/grappler/optimizers/libfunction_optimizer.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/grappler/optimizers/liblayout_optimizer.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/grappler/optimizers/libloop_optimizer.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/grappler/optimizers/libmemory_optimizer.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/grappler/optimizers/libstatic_schedule.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/grappler/costs/libgraph_memory.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/grappler/clusters/libvirtual_cluster.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/grappler/costs/libop_level_cost_estimator.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/grappler/costs/libvirtual_scheduler.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/grappler/costs/libvirtual_placer.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/grappler/libdevices.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/grappler/utils/libtraversal.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/grappler/optimizers/libmodel_pruner.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/grappler/optimizers/libgraph_rewriter.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/grappler/optimizers/libpin_to_host_optimizer.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/grappler/optimizers/libremapper.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/grappler/optimizers/libconstant_folding.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/grappler/optimizers/libevaluation_utils.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/grappler/optimizers/libscoped_allocator_optimizer.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/grappler/optimizers/libshape_optimizer.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/grappler/costs/libgraph_properties.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/grappler/costs/libutils.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/grappler/clusters/libutils.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/grappler/libgraph_view.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/grappler/clusters/libcluster.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/grappler/utils/libframe.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/grappler/utils/libsymbolic_shapes.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/grappler/utils/libcolocation.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/grappler/utils/libfunctions.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/grappler/utils/libtopological_sort.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/libgpu_runtime_impl.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/libcore_cpu_base.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/libfunction_ops_op_lib.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/libfunctional_grad.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/libfunctional_ops_op_lib.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libno_op.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libsendrecv_ops.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/libno_op_op_lib.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/libsendrecv_ops_op_lib.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/libcore_cpu_impl.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/grappler/libgrappler_item.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/grappler/libop_types.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/grappler/libutils.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/libgpu_id_impl.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/libgpu_init_impl.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/libgpu_lib.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/libgraph.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/stream_executor/libcuda_platform.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/stream_executor/libstream_executor_impl.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libops_util.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/libframework_internal_impl.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/libfeature_util.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/libprotos_all_proto_text.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/liberror_codes_proto_text.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/libstats_calculator_portable.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/libversion_lib.a
bazel-out/x64_windows-opt/genfiles/external/local_config_cuda/cuda/cuda/lib/cublas.lib
bazel-out/x64_windows-opt/genfiles/external/local_config_cuda/cuda/cuda/lib/cuda.lib
bazel-out/x64_windows-opt/genfiles/external/local_config_cuda/cuda/cuda/lib/cudnn.lib
bazel-out/x64_windows-opt/genfiles/external/local_config_cuda/cuda/cuda/lib/cufft.lib
bazel-out/x64_windows-opt/genfiles/external/local_config_cuda/cuda/cuda/lib/curand.lib
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/liblib_internal_impl.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/nsync/libnsync_cpp.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/liblib_hash_crc32c_accelerate_internal.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/liblib_proto_parsing.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/libabi.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/libplatform_base.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/gif_archive/libgif.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/jpeg/libjpeg.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/jpeg/libsimd_win_x86_64.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/com_googlesource_code_re2/libre2.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/farmhash_archive/libfarmhash.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/fft2d/libfft2d.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/highwayhash/libsip_hash.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/highwayhash/libarch_specific.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/snappy/libsnappy.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/zlib_archive/libzlib.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/double_conversion/libdouble-conversion.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/grappler/costs/libop_performance_data_cc_impl.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/libprotos_all_proto_cc_impl.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/liberror_codes_proto_cc_impl.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/protobuf_archive/libprotobuf.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/protobuf_archive/libprotobuf_lite.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/strings/libstrings.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/strings/libinternal.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/base/libthrow_delegate.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/numeric/libint128.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/types/liboptional.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/types/libbad_optional_access.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/base/libbase.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/base/libspinlock_wait.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/com_google_absl/absl/base/libdynamic_annotations.a
bazel-out/x64_windows-opt/genfiles/external/local_config_cuda/cuda/cuda/lib/cudart.lib
/DEFAULTLIB:msvcrt.lib

samhodge 于 2020-06-19

@Artem-B 以防他对原始问题有任何想法，这似乎与静态链接的二进制文件重复。

gunan 于 2020-06-20

👍1

仍在使用 r1.12 工件作为我的二进制文件的链接目标。仅仅处理搜索路径和链接目标的数量就意味着有很多失败的机会，到目前为止我已经发现了很多。当我找到成功的排列时，我会告诉你。

samhodge 于 2020-06-20

等等，protobuf 字段似乎在静态链接库中表现良好，对吗？我误读了您发布的输出。

gunan 于 2020-06-20

👍1

我也得到了 protobuf 团队的回复。他们怀疑这种行为可能是由双重链接引起的：

为了确定是否设置了默认空字符串字段，我们检查字符串的地址是否与单例空字符串的地址匹配。我认为如果 protobuf 运行时在多个共享库中重复，您最终可能会遇到问题，因为这个“单例”空字符串有多个副本，我们无法可靠地判断是否设置了字符串字段。

所以，看起来像链接 protobuf 两次会导致这个错误。看起来静态链接可以解决问题。
然而，对于 TF，提供静态链接库的问题在于二进制文件的大小。但看起来你能够“一起破解”一个解决方案。

gunan 于 2020-06-20

等等，protobuf 字段似乎在静态链接库中表现良好，对吗？我误读了您发布的输出。

是的，我的 macOS 和 Linux 版本的软件已经通过粘贴我的所有符号并将它们重新归档到符号平滑中静态链接，我有这种行为的证据。使用这里提到的ar ：

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

但是 Windows 10 上不存在ar并且使用link.exe计算费用失败。

因此，在查看了bazel如何与.param文件一起使用的详细信息后，我可以看到要在MSVC 2015下静态链接的.a .lo .lib文件MSVC 2015所以我们不会让libprotobuf.lib和libprotobuf.dll运行到tensorflow_cc.lib和tensorflow_cc.dll中已经存在的符号中，这就是导致此票证上报告的行为。

samhodge 于 2020-06-20

一旦我可以测试该数字为零，我将丢失 36 个符号。

samhodge 于 2020-06-20

我忘记了我也依赖于框架，也许那是缺少的符号

samhodge 于 2020-06-20

我认为我需要更多“开箱即用”的静态链接

我的黑客解决方案没有链接到协议缓冲区（ protobuf_archive ） 3.6.0 on tensorflow r1.12

给我留下以下缺失的符号

没有投注财产，这些都来自.proto文件

  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'"

这是我的库列表

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$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;"

基于

bazel-tensorflow\bazel-out\x64_windows-opt\bin\tensorflow
bazel-tensorflow\bazel-out\x64_windows-opt\bin\external作为搜索路径

这是来自中的信息

libtensorflow_cc.so-2.params和libtensorflow_framework.so-2.params

samhodge 于 2020-06-20

这一切都变成了一罐蠕虫，使用.vcxproj文件进行设置。

字符数限制一遍又一遍地发挥作用，65K 字符数限制让您每时每刻都被塞满。 Windows 操作系统的 16 位历史有很多问题需要回答。

samhodge 于 2020-06-20

也许如果我直接添加 $ .pb.cc文件的.obj文件，这将修复丢失的符号。

samhodge 于 2020-06-20

@gunan @meteorcloudy @Artem-B

只需添加

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

被链接的对象从 34 个缺失符号变为 164 个缺失符号。

我真的需要关于如何在 Windows 10 中运行以下 C++ 代码的专家指南

#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;


}

下到操作系统、编译器、bazel版本、CUDA版本等。

该问题并非孤立于r1.12或r2.2它是系统性的protobuf如何与 Windows 上的链接一起工作。

我们没有静态链接的解决方案，但这是上述代码正确运行的要求。

我的破解解决方案在简单的驱动程序版本之外不起作用，在MSVC 2019和r2.2下

它基于将输入添加到 r2.2 下的r2.2 tensorflow_cc.dll目标作为记录链接脚本.params文件

因此，在r1.12 libtensorflow_cc.so的输入应该可以正常工作，但它们不会，为基于.proto的编译文件留下丢失的符号。

我不确定是什么导致了这种行为。

samhodge 于 2020-06-20

例如，如果 core/platform/windows/port.cc 文件具有 port::InitMain 的符号，我如何才能找到哪个工件具有该代码的编译版本的符号？

这是动态链接时列表中缺少的符号之一。

因此，如果在静态链接时存在 .dll 的输入。为什么这个符号不见了？

也许如果我能解决这个问题，我可以对剩下的 33 个缺失符号应用类似的逻辑

山姆

samhodge 于 2020-06-20

好的，我通过.params文件进行递归 grep，从 core/platform/windows/port.cc 文件中查找port.o core/platform/windows/port.cc首先将其捆绑到libframework_internal_impl.lo和liblib_internal_impl.a然后example.obj与两者链接以生成.dll

所以符号应该出现两次！

我的一个好奇心是/DEFAULTLIB:msvrt.lib vs /DEFAULTLIB:libcmt.lib

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

example.obj example.dll 。正在使用/DEFAULTLIB:libcmt.lib而tensorflow_cc.dll是使用/DEFAULTLIB:msvc

samhodge 于 2020-06-21

libtensorflow_cc.so-2.params.zip
好的，我通过.params文件进行递归 grep，从 core/platform/windows/port.cc 文件中查找port.o core/platform/windows/port.cc首先将其捆绑到libframework_internal_impl.lo和liblib_internal_impl.a然后example.obj与两者链接以生成.dll

所以符号应该出现两次！

我的一个好奇心是/DEFAULTLIB:msvrt.lib vs /DEFAULTLIB:libcmt.lib

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

example.obj example.dll 。正在使用/DEFAULTLIB:libcmt.lib而tensorflow_cc.dll是使用/DEFAULTLIB:msvcrt.lib我不认为这是我所有麻烦的原因。

但是，如果我们处于不止一次包含protobuf符号的情况，那么libtensorflow_cc.so $ 通过libframework_internal_impl.lo和liblib_internal_impl.a $ 包含port.cc的事实我知道port.cc不是.proto文件，但如果它发生在某些源文件中，它可能会发生在其他源文件中。

这是在我开始黑客攻击之前。

见附件， libtensorflow_cc.so-2.params.zip

samhodge 于 2020-06-21

@meteorcloudy @sanjoy @gunan

我们建立了两件事

链接时包含两次相同的符号可能会导致意外行为

Tensorflow 包含至少两次具有相同符号的相同 port.o 文件

我们能否确保 bazel 目标的输入具有有向无环图表示？

看来我在 Linux 和 MacOS 下获取所有目标文件的联合集的方法达到了这个结果

但是我们将面临一个大于 2Gb 的 .a 文件，更不用说通过小于 65K 字符的列表提供参数

我们如何进行？

山姆

samhodge 于 2020-06-22

包含两次相同的符号会导致 ODR（一个定义规则），即 UB / 容易出错。

我们在 TF 中有几个 ODR 违规，需要识别并修复它们。感谢您发现port.o导致它！

mihaimaruseac 于 2020-06-22

我想下一个结论是通过递归搜索 .params 文件来找到所有所需目标文件的联合大小，然后制定一个复杂度小于 n 阶乘的链接策略，这是我在六小时后失败的最后一次尝试出去

然后看看最终联动是否在2GB以下

我猜这是一个可测试的二进制结果文件的大小将大于或小于 2Gb

山姆

samhodge 于 2020-06-22

对不起，也许是一个愚蠢的问题，但“最终”的解决方法是什么？
我在 C++ 中在 Windows 上放置设备时遇到问题（基本上不能可靠地在特定 GPU 上放置任何东西，如果有几个足以运行 Tensorflow），我试图用options.config.mutable_gpu_options()->set_visible_device_list("0");解决这个问题以使用 GPU 0。

但是，这会导致崩溃： 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

我认为这个错误可能与这个线程中描述的内容有关，因为对我来说visible_device_list和例如allocator_type的指针也是相同的，可能会导致稍后的解析错误.

任何解决此问题的方法都值得赞赏！

MikhailStartsev 于 2020-10-02

祝你顺利。

该解决方案因两个问题而受阻。

DLL 无法动态链接，因为 lib protobuf 中的符号将与 Tensorflow 中的符号重叠

静态链接会生成一个 2Gb 的目标文件符号存档

所以虽然有这个

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

我认为这可能需要几个小时来累积 obj 文件中的所有符号以制作静态存档。

samhodge 于 2020-10-03

这可能会有所帮助

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

samhodge 于 2020-10-03

此页面是否有帮助？

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