Tensorflow: يحتوي Windows C ++ tensorflow_cc.dll على عنوان ذاكرة متداخل بين خيارات gpu للسلسلة لـ "نوع المخصص" و "قائمة الأجهزة المرئية"

تم إنشاؤها على ١٢ مايو ٢٠٢٠ · 140تعليقات · مصدر: tensorflow/tensorflow

يرجى التأكد من أن هذا خطأ.

العلامة: bug_template

معلومات النظام

هل قمت بكتابة رمز مخصص (على عكس استخدام برنامج نصي لمثال الأسهم متوفر في TensorFlow): نعم
نظام التشغيل الأساسي والتوزيع (مثل Linux Ubuntu 16.04): Windows 10
الجهاز المحمول (مثل iPhone 8 و Pixel 2 و Samsung Galaxy) إذا حدثت المشكلة على الجهاز المحمول: NA
تم تثبيت TensorFlow من (المصدر أو الثنائي): المصدر
إصدار TensorFlow (استخدم الأمر أدناه): 1.12.0 متفرع من 5b900cfe4b3b848f577315a0dde09a729f770e95
إصدار Python: NA
إصدار Bazel (إذا كان التجميع من المصدر): 0.19.2
إصدار GCC / Compiler (في حالة التحويل البرمجي من المصدر): MSVC 2015
إصدار CUDA / cuDNN: 10.0.130، 9.2.148
طراز وحدة معالجة الرسومات والذاكرة: NVIDIA GP100 16 جيجا بايت

يمكنك جمع بعض هذه المعلومات باستخدام التقاط بيئتنا
النصي
يمكنك أيضًا الحصول على إصدار TensorFlow باستخدام:
غير متوفر

صف السلوك الحالي

أنا أقوم بإنشاء جلسة على النحو التالي مقتبس من الكود الأصلي

   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);

مما يؤدي إلى

    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.

صف السلوك المتوقع

يتم إنشاء الجلسة وتشغيلها على GPU 0 فقط باستخدام 80٪ فقط من الذاكرة المتوفرة

كود مستقل لإعادة إظهار المشكلة

#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

}

معلومات / سجلات أخرى

يرجى الاطلاع على القضايا التالية
https://github.com/tensorflow/tensorflow/issues/16291
https://github.com/fo40225/tensorflow-windows-wheel/issues/39

لقد قمت ببناء tensorflow.dll الخاص بي على النحو التالي:

ENV بالدولار الأمريكي: USE_BAZEL_VERSION = "0.19.2"
$ ENV: PYTHON_BIN_PATH = C : \ ProgramData \ Anaconda3 \ python.exe
$ ENV: المسار + = "؛ C: \ msys64 \ usr \ bin"
$ ENV: المسار + = "؛ C: \ Program Files \ NVIDIA GPU Computing ToolkitCUDA \ v9.2 \ bin"
$ ENV: Path + = "؛ C: \ Program Files \ NVIDIA GPU Computing ToolkitCUDA \ v9.2 \ extrasCUPTI \ libx64"
$ ENV: Path + = "؛ C: \ Program Files \ NVIDIA GPU Computing ToolkitCUDA \ 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 ToolkitCUDA \ v9.2 \"
ENV دولار: TF_CUDA_VERSION = "9.2"
$ ENV: CUDNN_INSTALL_PATH = "C: \ Program Files \ NVIDIA GPU Computing ToolkitCUDA \ cudnn-9.2-windows10-x64-v7.5.0.56 \ cuda"
ENV دولار: TF_CUDNN_VERSION = "7"
ENV دولار: TF_NCCL_VERSION = "1"
ENV بالدولار الأمريكي: TF_CUDA_COMPUTE_CAPABILITIES = "3.5،3.7،5.0،5.2،6.0،6.1"
ENV دولار: TF_CUDA_CLANG = "0"
ENV دولار: TF_NEED_CUDA = "1"
ENV دولار: TF_NEED_ROCM = "0"
ENV دولار: TF_NEED_OPENCL_SYCL = "0"

$ params = "configuration.py"، ""
إزالة العنصر -Recurse -Force "C: \ Windows \ system32config \ systemprofile_bazel_SYSTEMinstall \ 75b09cf1ac98c0ffb0534079b30efcc4"
cmd / c "ECHO Y" | تضمين التغريدة
تنظيف bazel.exe - expunge
bazel.exe build --copt = -nvcc_options = تعطيل-تحذيرات --test_tag_filters = -no_oss، -gpu، -benchmark-test، -nomac، -no_mac --announce_rc --test_timeout 300،450،1200،3600 --test_size_filters = صغير ، متوسط - الوظائف = 12 // t ensorflow: libtensorflow_cc.so // t ensorflow: libtensorflow_framework.so

تم إجراء تعديلات على الملفات التالية:

داخل

tensorflow / البناء

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

يصبح

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

وداخل
tf_cc_shared_object وظيفة tensorflow/BUILD

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

يصبح

    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",

محتويات tf_exported_symbols_msvc.lds هي

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>

كما هو موثق من قبل
https://github.com/tensorflow/tensorflow/issues/22047#issuecomment -421452033

تم ربط برنامجي مقابل libprotobuf.lib من https://mirror.bazel.build/github.com/google/protobuf/archive/v3.6.0.tar.gz

بنيت باسم

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

حاولت أيضًا تحرير tensorflow\tf_version_script.lds لتضمينه

*protobuf*

لقد جربت أيضًا الماكرو TF_EXPORT من #include "tensorflow/core/platform/macros.h"

في
tensorflow/core/public/session_options.h
و
tensorflow/core/common_runtime/session_options.cc

على النحو الذي اقترحه
https://github.com/sitting-duck/stuff/tree/master/ai/tensorflow/build_tensorflow_1.14_source_for_Windows

هل لديك أي اقتراحات حول كيفية التأكد من ذلك

لا تشترك خيارات GPU لنوع المخصص وقائمة الأجهزة المرئية في نفس الذاكرة ولكن لا يزال لدينا DLL متجانسة تحت النوافذ؟

TF 1.12 gpu runtime performance

مصدر

kognat-docs

التعليق الأكثر فائدة

حسنًا ، لذلك تم إصلاحه YAYAYAAYA!

هنا هو الإخراج

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 . . .

الملف TFDriver.cpp

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

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

تضمن

انت مين() {
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

تصحيح
Win32

يطلق
Win32

تصحيح
إلى x64

يطلق
إلى x64

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

طلب
صحيح
الإصدار 142
يونيكود

طلب
خاطئة
الإصدار 142
صحيح
يونيكود

طلب
صحيح
الإصدار 142
يونيكود

طلب
خاطئة
الإصدار 142
صحيح
يونيكود

صحيح

خاطئة

صحيح

خاطئة

مستوى 3
صحيح
WIN32؛ _DEBUG؛ _CONSOLE؛٪ (تعريفات المعالج المسبق)
صحيح

وحدة التحكم
صحيح

مستوى 3
صحيح
صحيح
صحيح
WIN32؛ NDEBUG؛ _CONSOLE؛٪ (تعريفات المعالج المسبق)
صحيح

وحدة التحكم
صحيح
صحيح
صحيح

مستوى 3
صحيح
_DEBUG؛ _CONSOLE؛٪ (تعريفات المعالج المسبق)
صحيح

وحدة التحكم
صحيح

مستوى 3
صحيح
صحيح
صحيح
NDEBUG؛ _CONSOLE؛٪ (PreprocessorDefinitions)
صحيح
C: \ Users \ Administrator \ dev \ try6 \ tensorflow \ bazel-bin \ tensorflow ؛ C: \ Users \ Administrator \ dev \ try6 \ tensorflow \ bazel-bin ؛ C: \ Users \ Administrator \ dev \ try6 \ tensorflow \ bazel -tensorflow \ external \ com_google_protobuf \ src؛ C: \ Users \ Administrator \ dev \ try6 \ tensorflow؛٪ (extraIncludeDirectories)

وحدة التحكم
صحيح
صحيح
صحيح
خارجي \ com_google_absl \ absl \ numeric \ libint128.a
؛ خارجي \ com_google_absl \ abslbase \ libspinlock_wait.a
؛ خارجي \ com_google_absl \ abslbase \ libdynamic_annotations.a
؛ خارجي \ com_google_absl \ abslbase \ libbase.a
؛ خارجي \ com_google_absl \ abslbase \ libthrow_delegate.a
؛ خارجي \ com_google_absl \ absl \ strings \ libinternal.a
؛ خارجي \ com_google_absl \ absl \ strings \ libstrings.a
؛ خارجي \ com_google_absl \ absl \ types \ libbad_optional_access.a
؛ خارجي \ com_google_protobuf \ libprotobuf_lite.a
؛ خارجي \ 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
؛ tensorflow \ core \ framework \ liblog_memory_proto_cc_impl.lo
؛ tensorflow \ core \ framework \ libkernel_def_proto_cc_impl.lo
؛ tensorflow \ core \ framework \ libgraph_transfer_info_proto_cc_impl.lo
؛ tensorflow \ core \ framework \ libdevice_attributes_proto_cc_impl.lo
؛ tensorflow \ core \ framework \ libcost_graph_proto_cc_impl.lo
؛ tensorflow \ core \ framework \ libapi_def_proto_cc_impl.lo
؛ tensorflow \ core \ example \ libexample_parser_configuration_proto_cc_impl.lo
؛ tensorflow \ core \ example \ libexample_protos_cc_impl.lo
؛ tensorflow \ core \ libcore_protos_cc_impl.lo
؛ tensorflow \ core \ Grappler \ التكاليف \ libop_performance_data_cc_impl.lo
؛ tensorflow \ stream_executor \ libdnn_proto_cc_impl.lo
؛ tensorflow \ core \ libconv_autotuning_proto_cc_impl.lo
؛ tensorflow \ core \ libautotuning_proto_cc_impl.lo
؛ Externaldouble_conversion \ libdouble-conversion.a
؛ خارجي \ zlib \ libzlib.a
؛ خارجي \ snappy \ libsnappy.a
؛ tensorflow \ core \ platformwindows \ libenv_time.a
؛ tensorflow \ core \ platform \ افتراضي \ liblogging.a
؛ tensorflow \ core \ platform \ libstr_util.a
؛ خارجي \ n مزامنة \ libnsync_cpp.a
؛ tensorflow \ core \ platform \ افتراضي \ libmutex.a
؛ tensorflow \ core \ platform \ libstringprintf.a
؛ tensorflow \ core \ platform \ libnumbers.a
؛ tensorflow \ core \ platform \ libstrcat.a
؛ tensorflow \ core \ platformwindows \ libstacktrace.a
؛ tensorflow \ core \ platform \ libstatus.a
؛ خارجي \ com_google_absl \ absl \ time \ interior \ cctz \ libcivil_time.a
؛ خارجي \ com_google_absl \ absl \ time \ interior \ cctz \ libtime_zone.a
؛ خارجي \ com_google_absl \ absl \ time \ libtime.a
؛ tensorflow \ core \ platform \ libhash.a
؛ tensorflow \ core \ platform \ default \ libtracing.lo
؛ tensorflow \ core \ platform \ libsetround.a
؛ خارجي \ com_google_absl \ abslbase \ libmalloc_internal.a
؛ خارجي \ com_google_absl \ absl \ debugging \ libdemangle_internal.a
؛ خارجي \ com_google_absl \ absl \ debugging \ libdebugging_internal.a
؛ خارجي \ com_google_absl \ absl \ debugging \ libsymbolize.a
؛ خارجي \ com_google_absl \ absl \ debugging \ libstacktrace.a
؛ خارجي \ com_google_absl \ absl \ التزامن \ libgraphikes_internal.a
؛ خارجي \ com_google_absl \ absl \ التزامن \ libsynchronization.a
؛ خارجي \ com_google_absl \ absl \ container \ libhashtablez_sampler.a
؛ خارجي \ com_google_absl \ absl \ container \ libraw_hash_set.a
؛ خارجي \ com_google_absl \ absl \ types \ libbad_variant_access.a
؛ خارجي \ com_google_absl \ abslhash \ libcity.a
؛ خارجي \ com_google_absl \ abslhash \ libhash.a
؛ خارجي \ com_googlesource_code_re2 \ libre2.a
؛ tensorflow \ core \ platform \ libprotobuf.a
؛ tensorflow \ core \ platformwindows \ libplatform_port.a
؛ tensorflow \ core \ platform \ libscanner.a
؛ tensorflow \ core \ platform \ libpath.lo
؛ tensorflow \ core \ platformwindows \ libwide_char.a
؛ tensorflow \ core \ platformwindows \ libload_library.a
؛ tensorflow \ core \ platform \ liberror.a
؛ tensorflow \ core \ platform \ libdenormal.a
؛ tensorflow \ core \ platformwindows \ liberror_windows.a
؛ tensorflow \ core \ platformwindows \ libenv.a
؛ tensorflow \ core \ util \ libreporter.a
؛ tensorflow \ core \ util \ libenv_var.a
؛ الخارجية highwayhash \ libarch_specific.a
؛ ExternalHighwayhash \ libsip_hash.a
؛ خارجي \ fft2d \ libfft2d.a
؛ خارجي \ farmhash_archive \ libfarmhash.a
؛ خارجي \ libjpeg_turbo \ libsimd_win_x86_64.a
؛ خارجي \ libjpeg_turbo \ libjpeg.a
؛ خارجي \ gif \ libgif.a
؛ tensorflow \ core \ platform \ افتراضي \ libunbounded_work_queue.a
؛ tensorflow \ core \ platform \ libcoding.a
؛ tensorflow \ core \ platform \ libtensor_coding.a
؛ tensorflow \ core \ platformwindows \ libsubprocess.a
؛ tensorflow \ core \ platformwindows \ libstacktrace_handler.a
؛ tensorflow \ core \ platform \ افتراضي \ libresource.a
؛ tensorflow \ core \ platform \ libplatform_strings.a
؛ tensorflow \ core \ platformwindows \ libnet.a
؛ tensorflow \ core \ platform \ liblogger.lo
؛ tensorflow \ core \ platform \ libcpu_feature_guard.a
؛ tensorflow \ core \ platform \ libbase64.a
؛ tensorflow \ core \ platform \ libabi.a
؛ tensorflow \ core \ lib \ strings \ libproto_text_util.a
؛ tensorflow \ core \ lib \ strings \ libproto_serialization.a
؛ tensorflow \ core \ lib \ strings \ libordered_code.a
؛ tensorflow \ core \ lib \ bfloat16 \ libbfloat16.a
؛ tensorflow \ core \ lib \ random \ libphilox.lo
؛ tensorflow \ core \ lib \ random \ libweighted_picker.lo
؛ tensorflow \ core \ platform \ librandom.a
؛ tensorflow \ core \ libhistogram \ libhistogram.lo
؛ tensorflow \ core \ lib \ Monitoring \ libcollection_registry.a
؛ tensorflow \ core \ lib \ Monitoring \ libsampler.a
؛ tensorflow \ core \ lib \ Monitoring \ libpercentile_sampler.a
؛ tensorflow \ core \ lib \ io \ libzlib_compression_options.lo
؛ tensorflow \ core \ lib \ io \ libzlib_outputbuffer.lo
؛ tensorflow \ core \ lib \ io \ libinputstream_interface.lo
؛ tensorflow \ core \ lib \ io \ libzlib_inputstream.lo
؛ tensorflow \ core \ lib \ io \ libiterator.lo
؛ tensorflow \ core \ lib \ io \ libcache.a
؛ tensorflow \ core \ libhash \ libcrc32c.a
؛ tensorflow \ core \ lib \ io \ libblock.lo
؛ tensorflow \ core \ lib \ io \ libtable.lo
؛ tensorflow \ core \ lib \ io \ libsnappy_outputbuffer.lo
؛ tensorflow \ core \ lib \ io \ libsnappy_inputbuffer.lo
؛ tensorflow \ core \ lib \ io \ libcompression.lo
؛ tensorflow \ core \ lib \ io \ librecord_writer.lo
؛ tensorflow \ core \ lib \ io \ librandom_inputstream.lo
؛ tensorflow \ core \ lib \ io \ libbuffered_inputstream.lo
؛ tensorflow \ core \ lib \ io \ librecord_reader.lo
؛ tensorflow \ core \ lib \ io \ libinputbuffer.lo
؛ tensorflow \ core \ lib \ core \ libbitmap.lo
؛ tensorflow \ core \ lib \ core \ libarena.a
؛ tensorflow \ core \ liblib_internal_impl.lo
؛ خارجي \ com_google_absl \ absl \ strings \ libstr_format_internal.a
؛ tensorflow \ stream_executor \ lib \ liblib.a
؛ tensorflow \ stream_executor \ liballocator_stats.a
؛ tensorflow \ stream_executor \ libplugin.a
؛ tensorflow \ stream_executor \ libplatform.a
؛ tensorflow \ stream_executor \ platform \ افتراضي \ libdso_loader.a
؛ tensorflow \ stream_executor \ cuda \ libcuda_stub.a
؛ tensorflow \ stream_executor \ cuda \ libcudart_stub.a
؛ tensorflow \ stream_executor \ rocm \ librocm_platform_id.a
؛ tensorflow \ stream_executorhost \ libhost_platform_id.a
؛ tensorflow \ stream_executor \ libmulti_platform_manager.a
؛ tensorflow \ stream_executor \ libexecutor_cache.a
؛ tensorflow \ stream_executor \ libdnn.a
؛ tensorflow \ stream_executor \ libblas.a
؛ tensorflow \ stream_executor \ libplugin_registry.a
؛ tensorflow \ stream_executor \ libkernel_spec.a
؛ tensorflow \ stream_executor \ libkernel.a
؛ tensorflow \ stream_executor \ libdevice_description.a
؛ tensorflow \ stream_executor \ libstream_executor_internal.a
؛ tensorflow \ stream_executor \ libtimer.a
؛ tensorflow \ stream_executor \ libtertain_device_memory.a
؛ tensorflow \ stream_executor \ libtertain_memory_manager.a
؛ tensorflow \ stream_executor \ librng.a
؛ tensorflow \ stream_executor \ libevent.a
؛ tensorflow \ stream_executor \ libstream_executor_pimpl.a
؛ tensorflow \ stream_executorhost \ libhost_timer.a
؛ tensorflow \ stream_executorhost \ libhost_stream.a
؛ tensorflow \ stream_executorhost \ libhost_gpu_executor.lo
؛ tensorflow \ stream_executorhost \ libhost_platform.lo
؛ tensorflow \ stream_executor \ cuda \ libcuda_platform_id.a
؛ tensorflow \ stream_executor \ libscratch_allocator.a
؛ خارجي \ com_google_absl \ absl \ debugging \ libleak_check.a
؛ tensorflow \ stream_executor \ cuda \ libcuda_diagnostics.a
؛ tensorflow \ stream_executor \ cuda \ libcuda_driver.a
؛ tensorflow \ core \ platform \ افتراضي \ libcuda_libdevice_path.a
؛ tensorflow \ stream_executor \ gpu \ libasm_compiler.a
؛ tensorflow \ core \ profiler \ Internal \ libtraceme_recorder_impl.lo
؛ خارجي \ llvm-مشروع \ llvm \ libdemangle.a
؛ خارجي \ llvm-مشروع \ llvm \ libsupport.a
؛ خارجي \ llvm- مشروع \ llvm \ libbitstream_reader.a
؛ خارجي \ llvm-project \ llvm \ libremarks.a
؛ خارجي \ llvm-مشروع \ llvm \ libbinary_format.a
؛ خارجي \ llvm- مشروع \ llvm \ libcore.a
؛ خارجي \ llvm-مشروع \ llvm \ libprofile_data.a
؛ خارجي \ llvm- مشروع \ llvm \ libtext_api.a
؛ خارجي \ llvm- مشروع \ llvm \ libdebug_info_msf.a
؛ خارجي \ llvm- مشروع \ llvm \ libdebug_info_code_view.a
؛ خارجي \ llvm- مشروع \ llvm \ libmc.a
؛ خارجي \ llvm- مشروع \ llvm \ libmc_parser.a
؛ خارجي \ llvm- مشروع \ llvm \ libbit_reader.a
؛ خارجي \ llvm-مشروع \ llvm \ libobject.a
؛ خارجي \ llvm-مشروع \ llvm \ libanalysis.a
؛ خارجي \ llvm- مشروع \ llvm \ libtransform_utils.a
؛ خارجي \ llvm-مشروع \ llvm \ libtarget.a
؛ tensorflow \ مترجم \ xla \ libxla_data_proto_cc_impl.lo
؛ tensorflow \ مترجم \ xla \ خدمة \ libhlo_proto_cc_impl.lo
؛ tensorflow \ مترجم \ xla \ libxla_proto_cc_impl.lo
؛ tensorflow \ مترجم \ xla \ libstatus_macros.a
؛ tensorflow \ مترجم \ xla \ libutil.a
؛ tensorflow \ مترجم \ xla \ libprotobuf_util.a
؛ tensorflow \ مترجم \ xla \ libshape_util.a
؛ tensorflow \ مترجم \ xla \ libshape_layout.a
؛ خارجي \ com_google_absl \ absl \ flags \ libmarshalling.a
؛ خارجي \ com_google_absl \ absl \ flags \ libinternal.a
؛ خارجي \ com_google_absl \ absl \ flags \ libconfig.a
؛ خارجي \ com_google_absl \ absl \ flags \ libhandle.a
؛ خارجي \ com_google_absl \ absl \ flags \ libregistry.a
؛ خارجي \ com_google_absl \ absl \ flags \ libflag.a
؛ tensorflow \ مترجم \ xla \ libarray.a
؛ tensorflow \ مترجم \ xla \ libliteral.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libcomputation_placer.lo
؛ tensorflow \ مترجم \ xla \ خدمة \ libcomputation_layout.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libhlo_module_config.a
؛ tensorflow \ مترجم \ xla \ خدمة \ وحدة المعالجة المركزية \ libcpu_options.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libname_uniquer.a
؛ tensorflow \ core \ platform \ default \ libhuman_readable_json.a
؛ tensorflow \ مترجم \ xla \ libwindow_util.a
؛ tensorflow \ مترجم \ xla \ libliteral_util.a
؛ tensorflow \ مترجم \ xla \ libcomparison_util.a
؛ tensorflow \ مترجم \ xla \ خدمة libhlo.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libshape_inference.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libhlo_module_group.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libhlo_verifier.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libbuffer_value.a
؛ tensorflow \ مترجم \ xla \ service \ liblogical_buffer.a
؛ tensorflow \ مترجم \ xla \ service \ liblogical_buffer_analysis.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libhlo_value.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libcall_graph.a
؛ tensorflow \ مترجم \ xla \ service \ libhlo_dataflow_analysis.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libtuple_points_to_analysis.a
؛ tensorflow \ مترجم \ jit \ libcommon.a
؛ tensorflow \ core \ framework \ libtensor_shape.lo
؛ tensorflow \ core \ framework \ libresource_handle.lo
؛ tensorflow \ core \ framework \ libbfloat16.lo
؛ tensorflow \ core \ framework \ liballocator_registry_impl.lo
؛ tensorflow \ core \ framework \ liballocator.lo
؛ tensorflow \ core \ framework \ libtensor.lo
؛ tensorflow \ core \ util \ libtensor_format.a
؛ tensorflow \ core \ util \ libstats_calculator_portable.a
؛ tensorflow \ core \ util \ libport.lo
؛ tensorflow \ core \ util \ libpadding.a
؛ tensorflow \ core \ util \ libeinsum_op_util.a
؛ tensorflow \ core \ profiler \ Internal \ libannotation_stack_impl.lo
؛ tensorflow \ core \ framework \ libattr_value_proto_text.lo
؛ tensorflow \ core \ framework \ libattr_value_util.a
؛ tensorflow \ core \ framework \ libop_def_util.a
؛ tensorflow \ core \ framework \ libnode_def_util.a
؛ tensorflow \ core \ framework \ libshape_inference.a
؛ tensorflow \ core \ framework \ libop_def_builder.a
؛ tensorflow \ core \ framework \ libop.a
؛ tensorflow \ core \ framework \ libnode_properties.a
؛ tensorflow \ core \ framework \ libcommon_shape_fns.a
؛ tensorflow \ core \ util \ libversion_info.lo
؛ tensorflow \ core \ example \ libfeature_util.lo
؛ tensorflow \ core \ libframework_internal_impl.lo
؛ tensorflow \ مترجم \ xla \ libparse_flags_from_env.a
؛ tensorflow \ مترجم \ xla \ libdebug_options_flags.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libhlo_cost_analysis.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libhlo_reachability.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libhlo_ordering.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libhlo_buffer.a
؛ tensorflow \ مترجم \ xla \ service \ libhlo_alias_analysis.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libhlo_live_range.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libheap_simulator.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libmemory_space_assignment.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libbuffer_assignment.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libhlo_proto_util.a
؛ tensorflow \ مترجم \ xla \ libmetric_table_report.a
؛ tensorflow \ مترجم \ xla \ service \ libhuman_readable_profile_builder.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libhlo_profile_printer_data_cc_impl.lo
؛ tensorflow \ مترجم \ xla \ خدمة \ libhlo_profile_printer.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libhlo_execution_profile_data_cc_impl.lo
؛ tensorflow \ مترجم \ xla \ خدمة \ libhlo_execution_profile.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libhlo_graph_dumper.lo
؛ tensorflow \ مترجم \ xla \ خدمة \ libdump.a
؛ tensorflow \ مترجم \ xla \ خدمة \ llvm_ir \ libllvm_util.a
؛ خارجي \ llvm- مشروع \ llvm \ libinst_combine.a
؛ خارجي \ llvm-project \ llvm \ libaggressive_inst_combine.a
؛ خارجي \ llvm-مشروع \ llvm \ libscalar.a
؛ خارجي \ llvm- مشروع \ llvm \ libobjc_arc.a
؛ خارجي \ llvm- مشروع \ llvm \ libvectorize.a
؛ خارجي \ llvm-مشروع \ llvm \ libinstrumentation.a
؛ خارجي \ llvm- مشروع \ llvm \ libbit_writer.a
؛ خارجي \ llvm- مشروع \ llvm \ libcode_gen.a
؛ خارجي \ llvm-مشروع \ llvm \ libselection_dag.a
؛ خارجي \ llvm- مشروع \ llvm \ libnvptx_info.a
؛ خارجي \ llvm-project \ llvm \ libnvptx_desc.a
؛ خارجي \ llvm-مشروع \ llvm \ liblinker.a
؛ خارجي \ llvm- مشروع \ llvm \ libasm_parser.a
؛ خارجي \ llvm- مشروع \ llvm \ libir_reader.a
؛ خارجي \ llvm-project \ llvm \ libfrontend_open_mp.a
؛ خارجي \ llvm- مشروع \ llvm \ libipo.a
؛ خارجي \ llvm- مشروع \ llvm \ libdebug_info_dwarf.a
؛ خارجي \ llvm- مشروع \ llvm \ libasm_printer.a
؛ خارجي \ llvm-project \ llvm \ libnvptx_code_gen.a
؛ خارجي \ llvm- مشروع \ llvm \ libmir_parser.a
؛ خارجي \ llvm- مشروع \ llvm \ libglobal_i_sel.a
؛ خارجي \ llvm- مشروع \ llvm \ libamdgpu_utils.a
؛ خارجي \ llvm- مشروع \ llvm \ libamdgpu_info.a
؛ خارجي \ llvm- مشروع \ llvm \ libamdgpu_desc.a
؛ خارجي \ llvm- مشروع \ llvm \ libamdgpu_code_gen.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ llvm_gpu_backend \ libllvm_gpu_backend.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libtuple_simplifier.a
؛ tensorflow \ مترجم \ xla \ libexecutable_run_options.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libstream_pool.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libshaped_buffer.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libmaybe_owning_device_memory.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libexecutable.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libcompiler.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libllvm_compiler.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libcompilation_stats.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libhlo_pass_pipeline.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libhlo_domain_map.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libhlo_cse.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libhlo_query.a
؛ خارجي \ mkl_dnn \ libmkldnn_single_threaded.a
؛ tensorflow \ core \ kernels \ libeigen_contraction_kernel_with_mkl.a
؛ tensorflow \ مترجم \ xla \ خدمة \ وحدة المعالجة المركزية \ libruntime_single_threaded_matmul.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libtuple_util.a
؛ tensorflow \ مترجم \ xla \ عميل \ libxla_computation.a
؛ tensorflow \ مترجم \ xla \ libexecution_options_util.a
؛ tensorflow \ مترجم \ xla \ عميل \ libsharding_builder.a
؛ tensorflow \ مترجم \ xla \ عميل \ libpadding.a
؛ tensorflow \ مترجم \ xla \ عميل \ libxla_builder.a
؛ tensorflow \ مترجم \ xla \ عميل \ lib \ libconstants.a
؛ tensorflow \ مترجم \ xla \ عميل \ lib \ libcomparators.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libhlo_creation_utils.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libhlo_dce.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libcall_inliner.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libporate_util.a
؛ tensorflow \ مترجم \ xla \ service \ libdynamic_dimension_inference.a
؛ tensorflow \ مترجم \ إكسلا \ خدمة \ libhlo_evaluator.a
؛ tensorflow \ مترجم \ إكسلا \ خدمة \ libhlo_constant_folding.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libalgebraic_simplifier.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libstream_executor_util.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libtarget_util.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libbackend_configs_cc_impl.lo
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libir_emission_utils.a
؛ tensorflow \ مترجم \ xla \ خدمة \ liblayout_assignment.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libgpu_layout_assignment.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libgpu_conv_rewriter.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libgpu_conv_padding_legalization.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libzero_sized_hlo_elimination.a
؛ tensorflow \ compiler \ xla \ service \ libporate_loop_analysis.a
؛ tensorflow \ compiler \ xla \ service \ lib while_loop_trip_count_annotator.a
؛ tensorflow \ مترجم \ xla \ خدمة \ lib while_loop_simplifier.a
؛ tensorflow \ compiler \ xla \ service \ lib while_loop_constant_sinking.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libtranspose_folding.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libop_expander_pass.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libstable_sort_expander.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libsort_simplifier.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libslow_operation_alarm.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libslice_sinker.a
؛ tensorflow \ مترجم \ xla \ عميل \ lib \ libloops.a
؛ tensorflow \ مترجم \ xla \ عميل \ lib \ libarithmetic.a
؛ tensorflow \ مترجم \ xla \ عميل \ lib \ libmath.a
؛ tensorflow \ مترجم \ xla \ عميل \ lib \ libprng.a
؛ tensorflow \ مترجم \ xla \ خدمة \ librng_expander.a
؛ tensorflow \ مترجم \ xla \ خدمة \ librng_bit_generator_expander.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libreshape_mover.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libhlo_subcomputation_unification.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libhlo_get_dimension_size_rewriter.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libhlo_element_type_converter.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libflatten_call_graph.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libdynamic_index_splitter.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libdot_decomposer.a
؛ tensorflow \ compiler \ xla \ service \ libdepthwise_convolution_converter.a
؛ tensorflow \ compiler \ xla \ service \ libconvolution_group_converter.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libconvolution_4d_expander.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libconditional_simplifier.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libbatchnorm_expander.a
؛ tensorflow \ مترجم \ xla \ service \ liball_reduce_combiner.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libvariadic_op_splitter.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libtree_reduction_rewriter.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libstream_assignment.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libreduction_layout_normalizer.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libreduction_dimension_grouper.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libreduction_degenerate_dim_remover.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libpartition_assignment.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libmulti_output_fusion.a
؛ tensorflow \ مترجم \ xla \ خدمة \ llvm_ir \ libir_array.a
؛ tensorflow \ مترجم \ xla \ خدمة \ llvm_ir \ libllvm_loop.a
؛ tensorflow \ مترجم \ xla \ خدمة \ llvm_ir \ libloop_emitter.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libelemental_ir_emitter.a
؛ tensorflow \ مترجم \ xla \ خدمة \ llvm_ir \ libtuple_ops.a
؛ tensorflow \ مترجم \ xla \ خدمة \ llvm_ir \ libfused_ir_emitter.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libinstruction_fusion.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libfusion_node_indexing_evaluation.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libgpu_fusible.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libinstruction_fusion.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libmulti_output_fusion.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libparallel_loop_emitter.a
؛ tensorflow \ مترجم \ xla \ خدمة \ llvm_ir \ libkernel_support_library.a
؛ tensorflow \ مترجم \ xla \ خدمة \ llvm_ir \ libsort_util.a
؛ tensorflow \ مترجم \ xla \ خدمة \ llvm_ir \ libdynamic_update_slice_util.a
؛ tensorflow \ مترجم \ xla \ خدمة \ llvm_ir \ libbuffer_assignment_util.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libcustom_call_target_registry.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libhlo_execution_profiler.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libgpu_executable_run_options.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libgpu_constants.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libbuffer_allocations.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libthunk.a
؛ tensorflow \ stream_executor \ gpu \ libgpu_stream.a
؛ tensorflow \ stream_executor \ gpu \ libgpu_timer.a
؛ tensorflow \ stream_executor \ cuda \ libcuda_kernel.a
؛ tensorflow \ stream_executor \ gpu \ libgpu_event.a
؛ tensorflow \ stream_executor \ cuda \ libcuda_event.a
؛ tensorflow \ stream_executor \ gpu \ libgpu_activation.a
؛ tensorflow \ stream_executor \ cuda \ libcuda_gpu_executor.lo
؛ tensorflow \ مترجم \ xla \ خدمة \ libcollective_ops_utils.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libnccl_all_reduce_thunk.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libtransfer_manager.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ liboutfeed_manager.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libinfeed_manager.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libgpu_debug_info_manager.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libgpu_conv_runner.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libcudnn_batchnorm_runner.a
؛ tensorflow \ stream_executor \ cuda \ libcusolver_stub.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libcusolver_context.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libgpu_executable.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libthunk_emitter.a
؛ tensorflow \ مترجم \ xla \ خدمة \ llvm_ir \ libalias_analysis.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libhlo_to_ir_bindings.a
؛ tensorflow \ مترجم \ xla \ خدمة \ llvm_ir \ libmath_ops.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libelemental_ir_emitter.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libir_emitter.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libhorizontal_fusion.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libscatter_expander.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libgpu_scatter_expander.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libgpu_sanitize_constant_names.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libhlo_memory_scheduler.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libgpu_hlo_schedule.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libcopy_insertion.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libgpu_copy_insertion.a
؛ tensorflow \ stream_executor \ gpu \ libredzone_allocator.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libbuffer_comparator.a
؛ tensorflow \ core \ util \ proto \ libproto_utils.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libgpu_autotuning_proto_cc_impl.lo
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libhlo_algorithm_blacklist.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libgpu_conv_algorithm_picker.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libgemm_rewriter.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libfusion_merger.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libcudnn_pad_for_convolutions.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libcudnn_batchnorm_rewriter.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libalias_passthrough_params.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libgpu_compiler.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libgemm_algorithm_picker.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libcusolver_rewriter.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libcudnn_fused_conv_rewriter.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libcublas_gemm_pad_for_tensor_cores.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libnvptx_compiler_impl.a
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libnvptx_compiler.lo
؛ tensorflow \ مترجم \ xla \ service \ libgeneric_transfer_manager.lo
؛ tensorflow \ مترجم \ xla \ خدمة \ gpu \ libgpu_transfer_manager.lo
؛ tensorflow \ مترجم \ xla \ service \ libplatform_util.a
؛ tensorflow \ مترجم \ xla \ خدمة libbackend.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libexecution_tracker.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libcompilation_cache.a
؛ tensorflow \ مترجم \ xla \ خدمة \ libchannel_tracker.a
؛ tensorflow \ مترجم \ xla \ خدمة \ liballocation_tracker.a
؛ tensorflow \ مترجم \ xla \ service \ libservice.lo
؛ tensorflow \ stream_executor \ cuda \ libcurand_stub.a
؛ tensorflow \ stream_executor \ cuda \ libcurand_plugin.lo
؛ tensorflow \ stream_executor \ cuda \ libcufft_stub.a
؛ tensorflow \ stream_executor \ cuda \ libcufft_plugin.lo
؛ tensorflow \ stream_executor \ cuda \ libcudnn_stub.a
؛ tensorflow \ stream_executor \ cuda \ libcudnn_version.a
؛ tensorflow \ stream_executor \ cuda \ libcudnn_plugin.lo
؛ tensorflow \ stream_executor \ cuda \ libcuda_platform.lo
؛ tensorflow \ stream_executor \ cuda \ libcublas_stub.a
؛ tensorflow \ stream_executor \ cuda \ libcublas_plugin.lo
؛ tensorflow \ core \ libgpu_lib.a
؛ tensorflow \ core \ liblogging_ops_op_lib.lo
؛ tensorflow \ core \ libarray_ops_op_lib.lo
؛ tensorflow \ مترجم \ mlir \ tensorflow \ libmlir_passthrough_op.lo
؛ tensorflow \ c \ libtf_status.a
؛ tensorflow \ c \ libtf_datatype.lo
؛ tensorflow \ c \ libtf_status_helper.a
؛ tensorflow \ c \ libtf_tensor.a
؛ tensorflow \ c \ libops.lo
؛ tensorflow \ c \ kernels \ libbitcast_op_lib.lo
؛ tensorflow \ core \ libword2vec_ops.lo
؛ tensorflow \ core \ libuser_ops_op_lib.lo
؛ tensorflow \ core \ libtraining_ops_op_lib.lo
؛ tensorflow \ core \ protobuf \ tpu \ libtpu_embedding_output_layout_proto_cc_impl.lo
؛ tensorflow \ core \ protobuf \ tpu \ liboptimization_parameters_proto_cc_impl.lo
؛ tensorflow \ core \ protobuf \ tpu \ libtpu_embedding_configuration_proto_cc_impl.lo
؛ tensorflow \ core \ tpu \ libtpu_embedding_output_layout_utils.a
؛ tensorflow \ core \ tpu \ libtpu_embedding_optimization_parameters_utils.a
؛ tensorflow \ core \ libtpu_replication_ops_op_lib.lo
؛ tensorflow \ core \ libtpu_ordinal_selector_ops_op_lib.lo
؛ tensorflow \ core \ libtpu_outfeed_ops_op_lib.lo
؛ tensorflow \ core \ libtpu_infeed_ops_op_lib.lo
؛ tensorflow \ core \ libtpu_host_compute_ops_op_lib.lo
؛ tensorflow \ core \ libtpu_heartbeat_ops_op_lib.lo
؛ tensorflow \ core \ libtpu_functional_ops_op_lib.lo
؛ tensorflow \ core \ libtpu_embedding_ops_op_lib.lo
؛ tensorflow \ core \ libtpu_cross_replica_ops_op_lib.lo
؛ tensorflow \ core \ libtpu_configuration_ops_op_lib.lo
؛ tensorflow \ core \ libstring_ops_op_lib.lo
؛ tensorflow \ core \ libstateless_random_ops_op_lib.lo
؛ tensorflow \ core \ libstate_ops_op_lib.lo
؛ tensorflow \ core \ libspectral_ops_op_lib.lo
؛ tensorflow \ core \ libsummary_ops_op_lib.lo
؛ tensorflow \ core \ libsparse_ops_op_lib.lo
؛ tensorflow \ core \ libsparse_csr_matrix_ops_op_lib.lo
؛ tensorflow \ core \ libset_ops_op_lib.lo
؛ tensorflow \ core \ libsendrecv_ops_op_lib.lo
؛ tensorflow \ core \ libsdca_ops_op_lib.lo
؛ tensorflow \ core \ libscript_ops_op_lib.lo
؛ tensorflow \ core \ libscoped_allocator_ops_op_lib.lo
؛ tensorflow \ core \ librpc_ops_op_lib.lo
؛ tensorflow \ core \ libresource_variable_ops_op_lib.lo
؛ tensorflow \ core \ libremote_fused_graph_ops_op_lib.lo
؛ tensorflow \ core \ libstateful_random_ops_op_lib.lo
؛ tensorflow \ core \ libspecial_math_ops_op_lib.lo
؛ tensorflow \ core \ librnn_ops_op_lib.lo
؛ tensorflow \ core \ librandom_ops_op_lib.lo
؛ tensorflow \ core \ libragged_to_dense_util.a
؛ tensorflow \ core \ libragged_math_ops_op_lib.lo
؛ tensorflow \ core \ libragged_conversion_ops_op_lib.lo
؛ tensorflow \ core \ libragged_array_ops_op_lib.lo
؛ tensorflow \ core \ libparsing_ops_op_lib.lo
؛ tensorflow \ core \ libno_op_op_lib.lo
؛ tensorflow \ core \ libnn_ops_op_lib.lo
؛ tensorflow \ core \ libnccl_ops_op_lib.lo
؛ tensorflow \ core \ libmath_ops_op_lib.lo
؛ tensorflow \ core \ libmanip_ops_op_lib.lo
؛ tensorflow \ core \ liblookup_ops_op_lib.lo
؛ tensorflow \ core \ liblist_ops_op_lib.lo
؛ tensorflow \ core \ liblinalg_ops_op_lib.lo
؛ tensorflow \ core \ libio_ops_op_lib.lo
؛ tensorflow \ core \ libimage_ops_op_lib.lo
؛ tensorflow \ core \ libfunctional_ops_op_lib.lo
؛ tensorflow \ core \ libfunction_ops_op_lib.lo
؛ tensorflow \ core \ libexperimental_dataset_ops_op_lib.lo
؛ tensorflow \ core \ libencode_proto_ops_op_lib.lo
؛ tensorflow \ core \ libdecode_proto_ops_op_lib.lo
؛ tensorflow \ core \ libdebug_ops_op_lib.lo
؛ tensorflow \ core \ libdataset_ops_op_lib.lo
؛ tensorflow \ core \ libdata_flow_ops_op_lib.lo
؛ tensorflow \ core \ libcudnn_rnn_ops_op_lib.lo
؛ tensorflow \ core \ libctc_ops_op_lib.lo
؛ tensorflow \ core \ libcontrol_flow_ops_op_lib.lo
؛ tensorflow \ core \ libcollective_ops_op_lib.lo
؛ tensorflow \ core \ libclustering_ops_op_lib.lo
؛ tensorflow \ core \ libcheckpoint_ops_op_lib.lo
؛ tensorflow \ core \ libcandidate_sampling_ops_op_lib.lo
؛ tensorflow \ core \ libtensor_forest_ops_op_lib.lo
؛ tensorflow \ core \ libboosted_trees_ops_op_lib.lo
؛ tensorflow \ core \ libbitwise_ops_op_lib.lo
؛ tensorflow \ core \ libbatch_ops_op_lib.lo
؛ tensorflow \ core \ libaudio_ops_op_lib.lo
؛ tensorflow \ core \ kernels \ libsendrecv_ops.lo
؛ tensorflow \ core \ kernels \ libno_op.lo
؛ tensorflow \ core \ libfunctional_grad.lo
؛ tensorflow \ core \ libgraph.a
؛ tensorflow \ core \ Grappler \ libutils.a
؛ tensorflow \ core \ Grappler \ libop_types.a
؛ tensorflow \ core \ Grappler \ utils \ libtransitive_fanin.a
؛ tensorflow \ core \ Grappler \ libgrappler_item.a
؛ tensorflow \ core \ libcore_cpu_base_no_ops.a
؛ tensorflow \ core \ Grappler \ utils \ libfunctions.a
؛ tensorflow \ core \ libbfc_allocator.a
؛ tensorflow \ core \ libcore_cpu_impl.lo
؛ tensorflow \ core \ Grappler \ libgraph_view.a
؛ tensorflow \ core \ grappler \ libgraph_topology_view.a
؛ tensorflow \ core \ grappler \ utils \ libtopological_sort.a
؛ tensorflow \ core \ grappler \ verifiers \ libstructure_verifier.a
؛ tensorflow \ core \ Grappler \ utils \ libtpu.a
؛ tensorflow \ core \ Grappler \ utils \ libcolocation.a
؛ tensorflow \ core \ Grappler \ utils \ libcanonicalizer.a
؛ tensorflow \ core \ libgpu_id_impl.a
؛ tensorflow \ core \ Grappler \ clusters \ libutils.a
؛ tensorflow \ core \ Grappler \ clusters \ libcluster.a
؛ tensorflow \ core \ libgpu_init_impl.lo
؛ tensorflow \ core \ grappler \ libdevices.a
؛ tensorflow \ core \ Grappler \ التكاليف \ libvirtual_placer.a
؛ tensorflow \ core \ Grappler \ التكاليف \ libcost_estimator.a
؛ tensorflow \ core \ Grappler \ التكاليف \ libutils.a
؛ Tensorflow \ core \ Grappler \ Optizers \ libevaluation_utils.a
؛ tensorflow \ core \ Grappler \ libmutable_graph_view.a
؛ tensorflow \ core \ Grappler \ التكاليف \ libgraph_properties.a
؛ tensorflow \ core \ Grappler \ التكاليف \ libvirtual_scheduler.a
؛ tensorflow \ core \ Grappler \ التكاليف \ libop_level_cost_estimator.a
؛٪(التبعيات الإضافية)

C: \ Users \ Administrator \ dev \ try6 \ tensorflow \ bazel-out \ x64_windows-opt \ bin؛٪ (AdditionalLibraryDirectories)

""

samhodge في ١٧ يونيو ٢٠٢٠

👍2 🚀1 ❤1 🎉1

ال 140 كومينتر

من الواضح أنها مشكلة تجميع وربط هذه السمات هي جزء من نفس رسالة protobuf:

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

لذا فإن الرمز الذي يتعاملون معه سيكون له نفس الاسم.

الذي

؟ Fixed_address_empty_string @ internal @ protobuf @ google3V ؟ $ ExplicitlyConstructed @ V؟ $ basic_string @ DU؟ $ char_traits @ D @ stdV ؟ $ المخصص @ D @ 2std@123 @ أ

كيف يمكن لعملية الترجمة أن تعالج عنوان ذاكرة مختلفًا لنفس رمز protobuf من الرسالة الموجودة في ملف .cc أعلاه.

samhodge في ١٢ مايو ٢٠٢٠

ذكر مشكلة مماثلة:
https://github.com/tensorflow/tensorflow/issues/23542

kognat-docs في ١٣ مايو ٢٠٢٠

أين يوجد ملف الكائن لملف config.proto المذكور أعلاه

يمكن أن تجد لي

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

يمكنني محاولة الربط مقابل ذلك بدلاً من إظهار الرمز من tensorflow.dll

لكن لا يزال يتعين علي إجراء تفريغ رمز من هذا الملف لمعرفة ما إذا كان

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

kognat-docs في ١٣ مايو ٢٠٢٠

هذه علامة رجاء أخرى:

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

kognat-docs في ١٣ مايو ٢٠٢٠

ذكر @ ttdd11SteroesZhuoranLyubrantl @ sit - duck الذين كانوا بالقرب من هذه المشكلة من قبل.

kognat-docs في ١٣ مايو ٢٠٢٠

حسنًا ، ها هو

من اختبار التكامل المستمر

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

هنا 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

}

الآن سأرى ما إذا كان بإمكاني جعله يعمل بطريقة ما بحيث لا يكون هذان الشيئان فوق بعضهما البعض.

kognat-docs في ١٤ مايو ٢٠٢٠

يمكن لأي شخص أن يصف لي كيف

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

يصبح هذين std::string.c_str() على نفس الجزء من الذاكرة؟

أنا لا أفهم عملية protobuf و bazel بشكل جيد.

kognat-docs في ١٤ مايو ٢٠٢٠

ها هي محتويات config.pb.h config.pb.cc
config.pb.h.zip
config.pb.cc.zip

وجدت في .\tensorflow-r1.12\bazel-genfiles\tensorflow\core\protobuf

في ملفات .zip المرفقة

kognat-docs في ١٤ مايو ٢٠٢٠

إليك ملفات control_flow.pb.h و control_flow.pb.cc كملفات .zip أيضًا من .\tensorflow-r1.12\bazel-genfiles\tensorflow\core\protobuf

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

kognat-docs في ١٤ مايو ٢٠٢٠

لا يشترك نفس الرمز الموجود في إصدار ثابت من tensorflow بنفس الرمز ضمن Linux في نفس العنوان.

samhodge في ١٥ مايو ٢٠٢٠

sanjoy إذا كنت بحاجة إلى أي معلومات إضافية ، فكل ما أفعله يتم تشغيله بواسطة نصوص قابلة للتكرار في بيئة CI ، فهذه ليست عملية روليت ولكنها عملية قابلة للتكرار.

samhodge في ١٥ مايو ٢٠٢٠

👍1

gunan هل لديك أي شخص يعمل على هذا؟

samhodge في ١٩ مايو ٢٠٢٠

هل تحدث المشكلة في إصدار أحدث؟
1.12 هو بالتأكيد خارج نافذة الدعم الخاصة بنا. يمكنني محاولة استكشاف هذا على 1.15 ، ولكن من الناحية الواقعية ، فإن Master أو 2.2 هي تلك التي سأكون قادرًا على مساعدتها كثيرًا.

gunan في ٢٠ مايو ٢٠٢٠

تضمين التغريدة

سأحاول ، لكن r1.12 + يتطلب تعليمات الأجهزة التي تكون أكثر حداثة من بعض الأجهزة القديمة التي كنت أرغب في دعمها على ما أعتقد AVX و AVX2 و SSE4

سأرى ما إذا كان بإمكاني القيام بالبناء على مربع سحابي أعتقد أن الآخرين قد أبلغوا عن 1.15 وسأرى ما إذا كان بإمكاني العثور على مرجع لذلك أولاً قبل تدوير نظام أساسي جديد بالكامل.

سام

samhodge في ٢١ مايو ٢٠٢٠

أنا مندهش لسماع ذلك. إذا كنت تقوم بالبناء من مصادر ، فيجب أن تكون قادرًا على البناء بدون أي مجموعات تعليمات متقدمة. يسعدني تقديم المساعدة في حالة حدوث ذلك (يمكننا إنشاء مشكلة أخرى لها)

gunan في ٢١ مايو ٢٠٢٠

حتى مع r1.12 ، هناك حل بديل لـ nasm و OpenSSL يجب إجراؤه. سأرى ما إذا كان بإمكاني إعادة إنتاج الخطأ مع r1.15 في وقت ما من الأسبوع المقبل.

samhodge في ٢٢ مايو ٢٠٢٠

هل تحدث المشكلة في إصدار أحدث؟
1.12 هو بالتأكيد خارج نافذة الدعم الخاصة بنا. يمكنني محاولة استكشاف هذا على 1.15 ، ولكن من الناحية الواقعية ، فإن Master أو 2.2 هي تلك التي سأكون قادرًا على مساعدتها كثيرًا.

أواجه نفس الشيء في 1.15.3. مثل الآخرين ، مثل: https://github.com/tensorflow/tensorflow/issues/16291#issuecomment -573886148

j-sarge في ٢٨ مايو ٢٠٢٠

عذرًا ، لم يكن لدي وقت مطلقًا للقيام ببناء باستخدام 1.15 أو 1.14 وسأرى ما إذا كان الوقت يسمح بذلك اليوم.

samhodge في ٢ يونيو ٢٠٢٠

أنا حاليا أقوم بالبناء من

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

لمعرفة ما إذا كانت المشكلة موجودة هناك:

سلسلة الأدوات هي bazelisk Win 64 ، و Anaconda Python 3 ، و MSYS2 ، و patch و bash ، و CUDA 9.2.1.148 CUDNN 7.0.5.56 MSVC 2015 Community على صندوق T4 على AWS الذي يعمل بنظام Windows 2019 Datacenter Edition.

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

أين ما يلي

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 في ٢ يونيو ٢٠٢٠

اكتمل البناء بنجاح الآن لبناء برنامج التشغيل ومعرفة ما إذا كانت المشكلة موجودة.

samhodge في ٢ يونيو ٢٠٢٠

بعد ست ساعات كانت النتيجة مماثلة لـ r1.12 في r1.14

samhodge في ٢ يونيو ٢٠٢٠

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 في ٢ يونيو ٢٠٢٠

ايضا

تم استدعاء $ tensorflow_cc.lib libtensorflow_cc.dll.ifso لسبب غير معروف.

لكنني استخدمت protobuf 3.7.1 و nsync و abseil-cpp الحاليين من قبل

samhodge في ٢ يونيو ٢٠٢٠

بناء من

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

وهو r1.15.1

samhodge في ٢ يونيو ٢٠٢٠

فشل التجميع

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.

التغييرات الوحيدة ل

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

هل تم ذكر الملفات التالية أعلاه بـ r1.14

لم يتم ذكر إصدار bazel المراد استخدامه مقابل r1.15

نرى:

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

سوف أقوم بتدوير العجلة مرة أخرى bazel 0.26.1 ومعرفة ما إذا كان ذلك يتحسن.

samhodge في ٢ يونيو ٢٠٢٠

تضمين التغريدة

نفس الشيء مع 'bazel 0.26.1'

يسعدني أن أوضح الخطأ باستخدام r1.15 إذا كان بإمكانك إعطاء تعليمات واضحة حول كيفية بناء الهدف

tensorflow_cc.dll

الوثائق لا تتضمن هذا الإصدار كما تم اختباره

لا توجد توصية حول إصدار MSVC لاستخدام إصدار bazel

سام

samhodge في ٢ يونيو ٢٠٢٠

تضمين التغريدة
جاء ذلك في فبراير 2019 هنا

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

لا يزال موجودًا في r1.14

أستطيع أن أتخيل أن الخطأ سيظل موجودًا في r2.2

هل يمكن لشخص آخر أن يؤكد لي هذا؟

samhodge في ٢ يونيو ٢٠٢٠

موافق على العرض

جعل tensorflow_cc.dll على النحو التالي

في Powershell على صندوق AWS T4 به 48 مركزًا و 4 بطاقات T4 Turing

مع تثبيت ما يلي

msys2 مع التصحيح عبر بكمان
MSVC 2015 Community Edition لـ C ++
اناكوندا بايثون 3
بازلك لـ Win 64
مجموعة أدوات CUDA 9.2.1.148.0
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

حيث يكون build-tf.ps1 على النحو التالي

$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

سأنتظر النتيجة وأقوم ببناء abseil و nsync و protobuf عبر CMake لبناء ضد السائق.

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

}

التي سيتم بناؤها على غرار

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;

هنا موقع protobuf من workspace.bzl

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

سأرى ما إذا كان بإمكاني العثور على abseil-cpp و nsync مطلوبين إذا لزم الأمر على الإطلاق.

samhodge في ٤ يونيو ٢٠٢٠

هذا لم ينتهي بشكل جيد

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

لذلك أعتقد أنني قمت بتثبيت MSVC 2019 وحاول مرة أخرى.

samhodge في ٤ يونيو ٢٠٢٠

gunan هل يمكنك أن تطلب من شخص ما النظر في هذا ، هل يحتوي هذا المشروع على موارد كافية للصيانة لنظامي التشغيل Windows و C ++؟

هذا يضيع وقتي

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

samhodge في ٤ يونيو ٢٠٢٠

حاول مرة أخرى مع الماجستير في MSVC 2015

samhodge في ٤ يونيو ٢٠٢٠

فيما يلي الأخطاء من المعلم a7d8140e60d351d25ee3ba8236d8badf975dcada

باستخدام 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 في ٤ يونيو ٢٠٢٠

بالتكرار مع MSVC 2019 على النحو التالي

AWS مع 4 بطاقات T4 Turing و 48 مركزًا افتراضيًا و 190 جيجابت من ذاكرة الوصول العشوائي و MS Server 2019

أناكوندا بايثون
MSYS2 لـ patch و perl و bash
إصدار المجتمع MSVC 2019
Win64 Bazelisk

buildenv.ps1

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

build-tf.ps1

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


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

خطوات:

افتح بوويرشيل
المصدر buildenv.ps1
git clone tensorflow URL
بوابة الخروج r2.2
المصدر build-tf.ps1

.tf_configure.bazelrc.zip

bazel config المرفق ، سيبلغ عن النجاح أو الفشل.

samhodge في ٤ يونيو ٢٠٢٠

لدينا بالتأكيد نقص في الخبراء على النوافذ.
يتطلب TF C ++ 14 ، لذلك لن يعمل البناء باستخدام msvc 2015.

ما زلت أحاول تحليل ما تقصده بـ "تداخل عنوان الذاكرة بين خيارات gpu للسلسلة لـ" نوع المخصص "و" قائمة الأجهزة المرئية ""
هل تقصد أنك تقوم بتعيين مجال واحد ، ويتم تغيير الآخر دون قصد؟

إذا كان هذا هو الحال ، فإن التكاثر لديك غير مباشر إلى حد ما. في كود الاستنساخ الخاص بك ، هل يمكنك طباعة نفس الحقل قبل وبعد تعيين visual_device_list؟
خلاف ذلك ، قد يكون سبب آخر هو ببساطة أن وحدة معالجة الرسومات الخاصة بك قد لا تحتوي على 80٪ من ذاكرتها المتاحة.

أيضًا ، t ensorflow: GpuOptions عبارة عن مخزن مؤقت بسيط للبروتوكول. أرى أنك تبني libprotobuf بشكل منفصل وتحاول استخدام ذلك. سير العمل هذا في الوقت الحالي غير مدعوم تمامًا ، وأعتقد بشدة أن هذا قد يتسبب في تلف المخازن المؤقتة للبروتوكول.

gunan في ٤ يونيو ٢٠٢٠

ها هي نتيجة CUDA 9.2.1.148 و MSVC 2019

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

حتى الآن بالنسبة للضحك ، سأضع MSVC 2017 وأرى ما إذا كنت سأحصل على المزيد ، CUDA Toolkit 9.2.1.148 هي مطلب للتوافق.

samhodge في ٤ يونيو ٢٠٢٠

ما زلت أحاول تحليل ما تقصده بـ "تداخل عنوان الذاكرة بين خيارات gpu للسلسلة لـ" نوع المخصص "و" قائمة الأجهزة المرئية ""
هل تقصد أنك تقوم بتعيين مجال واحد ، ويتم تغيير الآخر دون قصد؟

نعم هذا ما أعنيه ، آسف إذا لم يكن هذا واضحًا من التسول

هل يمكنك تعديل برنامج التشغيل لإظهار ما أعتقد أنه يوضح بشكل أفضل؟

إذا كان هذا هو الحال ، فإن التكاثر لديك غير مباشر إلى حد ما. في كود الاستنساخ الخاص بك ، هل يمكنك طباعة نفس الحقل قبل وبعد تعيين visual_device_list؟

نعم يمكنني فعل ذلك في r1.14 الآن.

خلاف ذلك ، قد يكون سبب آخر هو ببساطة أن وحدة معالجة الرسومات الخاصة بك قد لا تحتوي على 80٪ من ذاكرتها المتاحة.

أيضًا ، t ensorflow: GpuOptions عبارة عن مخزن مؤقت بسيط للبروتوكول. أرى أنك تبني libprotobuf بشكل منفصل وتحاول استخدام ذلك. سير العمل هذا في الوقت الحالي غير مدعوم تمامًا ، وأعتقد بشدة أن هذا قد يتسبب في تلف المخازن المؤقتة للبروتوكول.

ما هو سير العمل المدعوم؟

لا توجد رموز protobuf في Tensorflow.

samhodge في ٤ يونيو ٢٠٢٠

لسوء الحظ ، كانت الطريقة الوحيدة الموثوقة لجعل الأشياء تعمل على النوافذ ، بقدر ما يمكن أن نرى ، هي ربط TF بشكل ثابت. في الواقع ، يرتبط Protobuf بالكامل بـ TF ، ولكن العديد من الرموز مخفية لأننا نستمر في ضرب حد الرمز ~ 64K على النوافذ. نحن نعمل على تحسين واجهة برمجة التطبيقات الخاصة بنا ، ولكن نظرًا لأننا أضفنا دعم Windows لاحقًا ، وكشفنا فقط ما رأيناه حسب الحاجة في تجاربنا المحدودة ، فإن العديد من الرموز مفقودة من سطح واجهة برمجة التطبيقات. يمكننا العمل معًا لفضح بعض الرموز ، أو اقتراح بعض التعديلات / التصحيحات المحلية لجعل مشروعك يعمل على النوافذ.

كما قلت من قبل ، لدينا خبرة محدودة للغاية على النوافذ ، وبالتالي نفتقر إلى الكثير من الميزات. تكافح أيضًا لمواكبة المشكلات الواردة ، كما واجهت بوضوح في هذه المشكلة. أنا حقا آسف لذلك. أحاول إعداد مساحة عمل لتجربة بعض المشكلات التي رأيتها. سأبدأ ببناء نظيف من libtensorflow_cc ، ثم أنظر إلى المشكلات الأولية التي رأيتها.

في غضون ذلك ، إذا كان بإمكانك مشاركة إخراج الكود التالي ، فسيكون ذلك مفيدًا جدًا بالنسبة لي. كما قلت ، هذا رمز protobuf ، وسوف أتحقق من فريق protobuf لمعرفة ما إذا كانوا قد رأوا مشكلة مماثلة على windows.

#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 في ٤ يونيو ٢٠٢٠

حسنًا ، شكرًا لاستيعابك وقتك.

من 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


}

حصلت على الناتج التالي

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

آسف لعدم شرح نفسي بشكل أفضل.

samhodge في ٤ يونيو ٢٠٢٠

هنا هو إخراج الكود الخاص بك

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

samhodge في ٤ يونيو ٢٠٢٠

لذلك أعرف كيفية كشف الرموز في وقت الإنشاء عبر ملف .lds في r1.12

كيف يمكنني العثور على الرموز المفقودة لـ protobuf في tensorflow_cc.dll

يبدو أن هناك الكثير من الطعن في الظلام.

samhodge في ٤ يونيو ٢٠٢٠

سأكون في غاية السعادة للارتباط الثابت بقضية TF.

كيف سأفعل ذلك؟

samhodge في ٤ يونيو ٢٠٢٠

أفضل طريقة في الوقت الحالي هي استخدام البازل.
يمكنك إنشاء مساحة عمل وإضافة TF لتبعية مساحة العمل.
ثم يمكنك الاعتماد على مكتبات TF باعتبارها تبعيات bazel.

سأختبر مثالك على جهازي أيضًا. لقد تواصلت أيضًا مع فريق protobuf ، وانتظر ردهم.

gunan في ٤ يونيو ٢٠٢٠

هل هناك طريقة لاستخدام skylark لتكرار كل ملفات .lib المطلوبة للارتباط بالثنائي النهائي لاستخدامه كمكوِّن إضافي؟

قد تكون إضافة تبعية إلى bazel في سلسلة البناء غير متوافقة مع بقية عملية الإنشاء.

samhodge في ٤ يونيو ٢٠٢٠

لذلك ، سأحتاج إلى مساعدة من خبراء بازل.
hlopko @ r4ntmeteorcloudy هل هناك طريقة للوصول إلى ملفات lib بعد إنشاء dll ، أو ربما مكتبة cc_library؟

أيضًا ، لقد قمت للتو بالبناء محليًا ، وتمكنت من البناء باستخدام MSVC 2019 Professional ، بدون cuda. حاول مرة أخرى مع كودا.

gunan في ٤ يونيو ٢٠٢٠

بالمناسبة ، قمت بمزامنة موكلي مع الالتزام التالي في الفرع الرئيسي: e19e2d29d562724ead9e60e1ba4c4ffd91a0eb7a

لكل من الأمرين التاليين ، تمكنت من إنشاء TF باستخدام MSVC 2019 Professional ، وهو أحدث إصدار متاح. يجب أن يسفر مجتمع MSVC عن نفس النتائج.

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

gunan في ٤ يونيو ٢٠٢٠

gunan أي CUDA و CUDNN استخدمتهما؟ أنا مؤمن على CUDA 9.2.1.148 و CUDNN 7.0.5.56 لتوافق تصميم Blackmagic ، لأن cudnn64_7.dll في المسار وأنا مكون إضافي لنظامهم.

samhodge في ٤ يونيو ٢٠٢٠

hlopko @ r4ntmeteorcloudy هل هناك طريقة للوصول إلى ملفات lib بعد إنشاء dll ، أو ربما مكتبة cc_library؟

نعم ، يمكنك الحصول على ملف LIB (مكتبة الاستيراد) عبر --output_groups=interface_library في سطر الأوامر أو في ملف BUILD باستخدام قاعدة مجموعة الملفات.
على سبيل المثال ،

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

يمكنك بعد ذلك استخدام ملف LIB هذا في قاعدة cc_import.
يرجى التحقق من هذا المثال: https://github.com/bazelbuild/bazel/blob/master/examples/windows/dll/windows_dll_library.bzl

meteorcloudy في ٤ يونيو ٢٠٢٠

سوف أجرب هذا غدا.

شكرًا على التفسير ، لا معنى لي حتى الآن ، لكن قبرة Star / Sky الخاصة بي محدودة.

ولكن القصد من ذلك هو عزل هذا في مستند بحيث يمكنني سحب الأداة من ملفات bazel-genfiles من ملف ZIP والإشارة إلى كل ملف من ملفات .lib لربطها بشكل ثابت بالمكون الإضافي TF الخاص بي وهو أيضًا مرتبطة ببعض المكتبات الأخرى.

لا يوجد أي مراوغة في الوقت الحالي عبر CMake أو bazel فقط مشروع MSVC يشير إلى الرؤوس وملفات .lib.

في حين أن bazel رائع ، إلا أن التنفيذ في مشروع بخلاف Google من البداية قد يستغرق بعض الشيء ، وهو ما لم أتغلب عليه بعد.

samhodge في ٤ يونيو ٢٠٢٠

بالمناسبة ، قمت بمزامنة موكلي مع الالتزام التالي في الفرع الرئيسي: e19e2d2
لكل من الأمرين التاليين ، تمكنت من إنشاء TF باستخدام MSVC 2019 Professional ، وهو أحدث إصدار متاح. يجب أن يسفر مجتمع MSVC عن نفس النتائج.
bazel build --config=cuda --config=short_logs -c opt tensorflow:tensorflow_cc
bazel build --config=short_logs -c opt tensorflow:tensorflow_cc

هل تمكنت من اختبار ما حدث مع ذلك السائق الذي أعطيته لي؟

samhodge في ٤ يونيو ٢٠٢٠

تضمين التغريدة

صباح الخير من صباح السماء الزرقاء الساطعة في Adelaide.

لقد اطلعت على المستندات التالية:
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

لذا فإن هدفي الآن هو إنشاء tensorflow_cc_static.lib على نظام التشغيل Windows والذي سيحتوي على جميع الرموز الخاصة بي للارتباط الثابت بالمكتبة المشتركة للتطبيق الخاص بي ( rotobot.ofx ) ، مما يعني أنني لن أحتاج بعد الآن إلى الارتباط بـ tensorflow_cc.dll وأيضًا (lib)protobuf.dll وجميع حدود الرمز البالغة 65 ألفًا ستكون شيئًا من الماضي.

هل ترى أي حواجز في استراتيجيتي؟

samhodge في ٥ يونيو ٢٠٢٠

آخر فشلي

باستخدام CUDA 10.2 و CUDNN 7.6.5.32

مع

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

سأحاول مرة أخرى بدون هذا البيان ومعرفة ما إذا كان يتم تجميعه.

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 في ٥ يونيو ٢٠٢٠

تحرير: هذا السلوك متوقع مع CUDA Toolkit 10.2 ، 10.2 هو تحديث إلى 9.2 لأن CUDA Toolkit 9.2.1.148 لا تدعم nvcc لـ MSVC 2019. MSVC 2017 قد يدعم C ++ 14 المطلوب لـ TF 2.0.

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

تم إهمال CUDA COMPUTE 3.5 و 3.7 ، لذلك تحتاج إلى إلغاء العرض وقفله على 7.0 لبطاقة Turing المستندة إلى T4 ولكن هذا لن يكون مناسبًا لمجموعة واسعة من المستخدمين النهائيين بدون بطاقات تستند إلى Turing.

الآن تم ضبطه على CUDA لحساب 3.5،7.0 فقط سأرى ما إذا كان هذا يجمع.

samhodge في ٥ يونيو ٢٠٢٠

يمنحك MSVC 15 (2017) و CUDA Toolkit 9.2.1.148 قدرة حسابية 7.0 وأقل إلى 3.5 مع دعم لغة C ++.

samhodge في ٥ يونيو ٢٠٢٠

7a7207f3b6 يعطيني

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

من

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

حيث أكون على خادم 2019 t4 مع 48 مركزًا

مع Anaconda Python ، MSYS2 للباتش والبيرل والباش ، CUDA 10.2 CUDNN 7.6.5.32

buildenv.ps1 هو

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 هو

$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

هل هذا سلوك متوقع؟

samhodge في ٥ يونيو ٢٠٢٠

سأكرر مع r2.2.

samhodge في ٥ يونيو ٢٠٢٠

2b96f3662b اكتمل.

samhodge في ٥ يونيو ٢٠٢٠

مرفق ملف tensorflow\BUILD من r2.2

BUILD.zip

الذي يتم بناؤه باسم

. .\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

التعديل على tensorflow\BUILD هو

مضيفا خمسة أسطر

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

samhodge في ٥ يونيو ٢٠٢٠

كان لدي cuda 10.1 على جهازي ، لذا حاولت ذلك. لذلك قد يكون سببه الاختلاف في إصدارات cuda.
أرى أن بعض تعليقاتك تشير إلى cuda 9.2 ، وبعضها يذكر 10.2.
أظن أن البناء نجح 10.2؟

gunan في ٥ يونيو ٢٠٢٠

hlopko @ r4ntmeteorcloudy هل هناك طريقة للوصول إلى ملفات lib بعد إنشاء dll ، أو ربما مكتبة cc_library؟
نعم ، يمكنك الحصول على ملف LIB (مكتبة الاستيراد) عبر --output_groups=interface_library في سطر الأوامر أو في ملف BUILD باستخدام قاعدة مجموعة الملفات.
على سبيل المثال ،
    filegroup(
        name = import_lib_name,
        srcs = ["my_dll_target"],
        output_group = "interface_library",
    )
يمكنك بعد ذلك استخدام ملف LIB هذا في قاعدة cc_import.
يرجى التحقق من هذا المثال: https://github.com/bazelbuild/bazel/blob/master/examples/windows/dll/windows_dll_library.bzl

نعم ، هذا فقط يجعل ملفًا موجودًا بالفعل

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

يبلغ حجمه 39 مليونًا فقط بينما يبلغ حجم الملف tensorflow_cc.dll 320 ميجا بايت

ما نحتاجه هو إصدار ثابت من tensorflow_cc.lib حيث يحتوي على جميع الرموز للقيام بالاستدلال أو التدريب أو أي شيء يقدمه tensorflow_cc.dll

أعتقد أنه كان هناك خطأ في الاتصال ، حيث لم يتم الكشف عن رموز protobuf ، أحتاج إلى أن أكون قادرًا على الارتباط بشكل ثابت بأرشيف ثابت .lib لجميع الرموز الموجودة في الكيان tensorflow_cc.dll لذا مع ملفات الرأس و -L tensorflow_cc_static.lib هذا سيوفر جميع الرموز.

samhodge في ٥ يونيو ٢٠٢٠

كان لدي cuda 10.1 على جهازي ، لذا حاولت ذلك. لذلك قد يكون سببه الاختلاف في إصدارات cuda.
أرى أن بعض تعليقاتك تشير إلى cuda 9.2 ، وبعضها يذكر 10.2.
أظن أن البناء نجح 10.2؟

نعم لقد نجحت.

samhodge في ٥ يونيو ٢٠٢٠

تحاول مرة أخرى مع

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

samhodge في ٥ يونيو ٢٠٢٠

ونحن نسير في دوائر هنا: meteorcloudy

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

samhodge في ٥ يونيو ٢٠٢٠

فيما يلي نتائج إنشاء مبنى //tensorflow:tensorflow_cc_static.lib

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

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


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


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

كيف نحصل على المدخلات في tensorflow_cc.dll كما تم التقاطها بواسطة مجموعة الملفات أعلاه ليتم وضعها في أرشيف؟

samhodge في ٥ يونيو ٢٠٢٠

أنا أتسلل على هذا

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
)

أعتقد أنني قد أواجه مشكلة الربط المتعدية.

samhodge في ٥ يونيو ٢٠٢٠

ما ورد أعلاه ممنوع

تحاول مع

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 في ٥ يونيو ٢٠٢٠

أعتقد أنني بحاجة أيضًا إلى سحب إطار tensorflow_framework حتى يعمل ما سبق ، لكنني سأتركه ينفجر وأرى ما سيحدث.

samhodge في ٥ يونيو ٢٠٢٠

لقد لاحظت أيضًا أن هناك قاعدة لـ tensorflow_cc.lib إذا كنت أرغب في الارتباط ديناميكيًا ، والذي يقترح gunan أنه ليس الحل لهذه المشكلة ، ولكن بدلاً من ذلك للحصول على نسخة ثابتة من tensorflow_cc.dll من بازيل لكني أعتقد أنه لن ينجح ، سأستمر في المحاولة لمدة ساعة أخرى.

samhodge في ٥ يونيو ٢٠٢٠

حسنًا ، لدي الآن مجموعة من ملفات أ

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

الذي أفترض أنه يمكنني ربط هذه الملفات في ملفات مثل .a على Linux وستكون رموزي "موجودة" فقط

كنت آمل في واحدة كبيرة ، سأستمر في المحاولة.

samhodge في ٥ يونيو ٢٠٢٠

ربما أكون أقل غباء مما أعتقد
تضمين التغريدة

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

في حالة وجود بطاقة بدل للملفات .a التي تم نسخها إلى bazel-bin في filegroup

samhodge في ٥ يونيو ٢٠٢٠

أشعر برغبة في إضافة هذا إلى نهاية tensorflow/BUILD

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"],
)

وبناء //tensorflow:tensorflow_cc_static يجب أن يعمل

samhodge في ٥ يونيو ٢٠٢٠

إذا كان هناك على أي حال لإنشاء حرف بدل لملفات .a التي تم نسخها إلى bazel-bin في مجموعة ملفات

oquenchil هو خبير C ++ لدينا! ما هي طريقة جمع كل ملفات الكائنات المتعدية أو ملفات .a في Starlark؟

meteorcloudy في ٥ يونيو ٢٠٢٠

أعتقد أنه باستخدام C ++ Starlark API ، يمكننا جمع كل ملفات lib متعدية.
https://docs.bazel.build/versions/master/skylark/lib/CcInfo.html
المشكلة ذات الصلة: https://github.com/bazelbuild/bazel/issues/1920

meteorcloudy في ٥ يونيو ٢٠٢٠

أنا لا أحاول إلقاء الظل على bazel ، إنه حقًا يقوم بعمل جيد في معظم الأشياء. ولكن في العديد من مشاريع CMake التي استخدمتها ، يمكنك ببساطة إضافة -DBUILD_SHARED_LIBS = 0 وإخراج أرشيف ثابت. نظرًا لطلب هذه الميزة في عام 2016. أعتقد أنني قد أستخدم Python glob فقط وأقوم بمزجها ومعرفة ما إذا كان الارتباط الثابت سيصلح هذه المشكلة.

samhodge في ٥ يونيو ٢٠٢٠

باستخدام Python ، تمكنت من تجميع ملفات .a المعنية

كان الثعبان بسيطًا جدًا

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))

والنتيجة هي قائمة ملفات ملحمية

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

لذلك بدون ربط أي شيء ، فهذه هي الرموز المفقودة

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 ==========

بعد اضافة الآتي

C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\c\libcheckpoint_reader.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\c\libkernels.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\c\libtf_status.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\c\libtf_status_helper.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\c\libtf_tensor.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\libcc_op_gen_main.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\libclient_session.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\libconst_op.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\libgradients.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\libgrad_op_registry.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\libops.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\libscope.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\libwhile_loop.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\libbfc_allocator.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\libcore_cpu_base_no_ops.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\libgif_internal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\libgpu_bfc_allocator.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\libgpu_id_impl.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\libgpu_lib.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\libgraph.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\libjpeg_internal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\libragged_to_dense_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\liballocator_stats.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libblas.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libdevice_description.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libdnn.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libevent.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libexecutor_cache.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libkernel.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libkernel_spec.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libmulti_platform_manager.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libplatform.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libplugin.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libplugin_registry.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\librng.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libscratch_allocator.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libstream_executor_internal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libstream_executor_pimpl.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libtemporary_device_memory.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libtemporary_memory_manager.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libtf_allocator_adapter.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\stream_executor\libtimer.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\profiler\libprofiler.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\cc\saved_model\libreader.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libcommon.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libcompilability_check_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libcompilation_passes.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libdevice_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libencapsulate_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libflags.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libresource_operation_safety_analysis.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libshape_inference.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libshape_inference_helpers.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libxla_activity_listener.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libxla_cluster_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libxla_compilation_cache.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libxla_device_no_jit_rewrite_registration.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libxla_launch_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\jit\libxla_tensor.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libcommon.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libfrontend_attributes_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libfunctionalize_cond.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libfunctionalize_control_flow.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libfunctionalize_control_flow_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libfunctionalize_while.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\librearrange_function_argument.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libresource_operation_table.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libsharding_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libside_effect_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\libtf2xla_util.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\xla\libarray.a
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C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_lb_policy_xds_secure.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_lb_upb.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_max_age_filter.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_message_size_filter.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_resolver_dns_ares.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_resolver_dns_native.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_resolver_dns_selection.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_resolver_fake.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_resolver_sockaddr.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_resolver_xds_secure.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_secure.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_server_backward_compatibility.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_trace.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_transport_chttp2.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_transport_chttp2_alpn.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_transport_chttp2_client_connector.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_transport_chttp2_client_insecure.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_transport_chttp2_client_secure.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_transport_chttp2_server.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_transport_chttp2_server_insecure.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_transport_chttp2_server_secure.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_transport_inproc.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_workaround_cronet_compression_filter.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libgrpc_xds_client_secure.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libproto_gen_validate_upb.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libtsi.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\libtsi_interface.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_googlesource_code_re2\libre2.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_protobuf\libprotobuf_lite.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_protobuf\libprotoc_lib.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\double_conversion\libdouble-conversion.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\farmhash_archive\libfarmhash.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\fft2d\libfft2d.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\gif\libgif.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\highwayhash\libarch_specific.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\highwayhash\libsip_hash.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\icu\libicuuc.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\jsoncpp_git\libjsoncpp.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\libjpeg_turbo\libjpeg.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\libjpeg_turbo\libsimd_win_x86_64.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\lmdb\liblmdb.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\mkl_dnn\libmkldnn_single_threaded.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\nsync\libnsync_cpp.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\org_sqlite\liborg_sqlite.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\png\libpng.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\snappy\libsnappy.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\upb\libupb.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\zlib\libzlib.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\src\compiler\libgrpc_plugin_support.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_github_grpc_grpc\third_party\address_sorting\libaddress_sorting.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\base\libbase.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\base\libdynamic_annotations.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\base\libmalloc_internal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\base\libspinlock_wait.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\base\libthrow_delegate.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\container\libhashtablez_sampler.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\container\libraw_hash_set.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\debugging\libdebugging_internal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\debugging\libdemangle_internal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\debugging\libleak_check.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\debugging\libstacktrace.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\debugging\libsymbolize.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\flags\libconfig.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\flags\libflag.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\flags\libhandle.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\flags\libinternal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\flags\libmarshalling.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\flags\libregistry.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\hash\libcity.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\hash\libhash.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\numeric\libint128.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\strings\libinternal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\strings\libstrings.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\strings\libstr_format_internal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\synchronization\libgraphcycles_internal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\synchronization\libsynchronization.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\time\libtime.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\types\libbad_optional_access.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\types\libbad_variant_access.a

الرموز التالية مفقودة

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.

هذا هو نتيجة التجميع

#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;

}

مع MSVC 2019

المشروع التالي.

<?xml version="1.0" encoding="utf-8"?>
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    <ProjectConfiguration Include="Debug|Win32">
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      <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>
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  <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>
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  <Import Project="$(VCTargetsPath)\Microsoft.Cpp.props" />
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  <ImportGroup Label="Shared">
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  <ImportGroup Label="PropertySheets" Condition="'$(Configuration)|$(Platform)'=='Debug|Win32'">
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  <ImportGroup Label="PropertySheets" Condition="'$(Configuration)|$(Platform)'=='Release|Win32'">
    <Import Project="$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props" Condition="exists('$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props')" Label="LocalAppDataPlatform" />
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  <ImportGroup Label="PropertySheets" Condition="'$(Configuration)|$(Platform)'=='Debug|x64'">
    <Import Project="$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props" Condition="exists('$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props')" Label="LocalAppDataPlatform" />
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  <ImportGroup Label="PropertySheets" Condition="'$(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>
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    <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\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
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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
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C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\strings\libstrings.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\strings\libstr_format_internal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\synchronization\libgraphcycles_internal.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\synchronization\libsynchronization.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\time\libtime.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\types\libbad_optional_access.a
C:\Users\Administrator\dev\tensorflow\bazel-bin\external\com_google_absl\absl\types\libbad_variant_access.a %(AdditionalOptions)</AdditionalOptions>
    </Link>
  </ItemDefinitionGroup>
  <ItemGroup>
    <ClCompile Include="ConsoleApplication1.cpp" />
  </ItemGroup>
  <Import Project="$(VCTargetsPath)\Microsoft.Cpp.targets" />
  <ImportGroup Label="ExtensionTargets">
  </ImportGroup>
</Project>

dev.zip

تضمين التغريدة
لذا فإن سؤالي هو كما يلي:

إذا لم تتمكن من الارتباط بـ libprotobuf.lib لتوفير رموز لـ tensorflow_cc.dll وتحتاج إلى الارتباط بشكل ثابت ، فكيف تفعل ذلك؟

هل يمكنك تجميع الكود main.cpp وإخباري بما تحصل عليه نتيجة الارتباط الثابت؟

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 في ٩ يونيو ٢٠٢٠

لقد ألقيت نظرة في وقت سابق ويبدو أن config.proto In tensorflow / core / protobuf يحتوي على الرموز المفقودة وبينما يمكن العثور على ملفات o. في أحد أرشيفات كائن .a ، من الواضح أنهم لا يفعلون ذلك وإلا فلن تكون الرموز مفقودة.

لكن هل هذا جزء من المشكلة؟

يقوم ملف .proto بإنشاء ملف .cc والذي بدوره يقوم بإنشاء ملف الكائن ، ولكن يتم أيضًا إنشاء الرؤوس ، ولست متأكدًا مما إذا كانت الرؤوس تعلن أن الرموز مكشوفة أم لا.

سأحاول في الصباح إضافة ملفات .o إلى المكتبات الإضافية. ولكن هناك حدًا لعدد الأحرف المسموح به للمكتبات والمكتبات الإضافية ، لذا قد لا يكون من الممكن إضافة كل ملف كائن.

مما يؤدي إلى حشو ملفات .lib .a و. o الثابتة في أرشيف واحد كبير ثابت.

وهو ما يجب القيام به مع bazel في نظام Linux و macOS مع حجم كلمة كبير على الغلاف باستخدام ar يمكن القيام به من ملفات الكائنات.

تضمين التغريدة
هل يمكننا من فضلك الحصول على أهداف ثابتة لـ C ++ و Tensorflow؟

samhodge في ٩ يونيو ٢٠٢٠

أعتقد أنه من المعقول.
meteorcloudy كيف يمكننا إنشاء هدف يكون مزيجًا من ملفات a الفردية samhodge الملغومة أعلاه؟ هل يمكن لبازل دمج هذه؟

gunan في ٩ يونيو ٢٠٢٠

🚀1 🎉1

ربط ما يلي
النتائج في الرموز المفقودة التالية

انظر الملف المرفق
الإخراج.zip

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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
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C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\tools\proto_text\*.a
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C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\compiler\tf2xla\_objs\host_compute_metadata_proto_cc_impl\*.o
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C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\debug\_objs\debugger_event_metadata_proto_cc_impl\*.o
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C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\_objs\attr_value_proto_cc_impl\*.o
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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
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C:\Users\Administrator\dev\tensorflow\bazel-bin\tensorflow\core\framework\_objs\types_proto_cc_impl\*.o
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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
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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

مع تضمين الملفات بتنسيق

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

التجميع ناجح ، فشل الربط على النحو الوارد أعلاه.

samhodge في ١٠ يونيو ٢٠٢٠

شكرا لك ، سأحاول لاحقا.

------------------ 原始邮件 ------------------
发件人: "Sam Hodge" < [email protected]> ؛
发送时间: 2020 年 6 月 10 (星期三) 8:55
收件人: "tensorflow / tensorflow" < [email protected]> ؛
抄送: "مشترك" < [email protected]> ؛
主题: Re: [tensorflow / tensorflow] يحتوي Windows C ++ tensorflow_cc.dll على عنوان ذاكرة متداخل بين خيارات gpu للسلسلة لـ "نوع المخصص" و "قائمة الأجهزة المرئية" (# 39439)

ربط ما يلي
النتائج في الرموز المفقودة التالية

انظر الملف المرفق
الإخراج.zip

عند التجميع
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. المستخدمين \ 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: المستخدمين C: \ Users \ Administrator \ dev \ tensorflow \ bazel-bin \ tensorflow \ core_objs \ conv_autotuning_proto_cc_impl * .o C: \ Users \ Administrator \ dev \ tensorflow \ bazel-b في \ 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 \ tensorsorflow \ 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 \ framework تخصيص_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_obj 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 \ tensorjflow \ core \ framework 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_obj 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_ploto. 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 \ abstract_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: \ 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 *. المسؤول \ 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 \ version_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_im: المستخدمين .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 \ save_tensor_cc_impl *. o C: \ Users \ Administrator \ dev \ tensorflow \ bazel-bin \ tensorflow \ stream_executor_objs \ dnn_proto_cc_impl * .o
مع تضمين الملفات بتنسيق
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 \ مسؤول \ dev \ tensorflow \ bazel-bin C: \ Users \ Administrator \ dev \ tensorflow \ tensorflow
التجميع ناجح ، فشل الربط على النحو الوارد أعلاه.

-
أنت تتلقى هذا لأنك مشترك في هذا الموضوع.
قم بالرد على هذه الرسالة الإلكترونية مباشرةً ، أو اعرضها على GitHub ، أو قم بإلغاء الاشتراك.

hunim في ١٠ يونيو ٢٠٢٠

أنا محتار. أرى أنك تلتقط ملفات a. ضمن com_google_protobuf. ليس لدي أي فكرة عن كيفية رؤيتك لأخطاء الرموز.

gunan في ١٠ يونيو ٢٠٢٠

أنا محتار. أرى أنك تلتقط ملفات a. ضمن com_google_protobuf. ليس لدي أي فكرة عن كيفية رؤيتك لأخطاء الرموز.

نعم ، يبدو الأمر محيرًا ، إذا كان أي شخص آخر يريد أن يحاول ذلك بنفسه ، فهذه هي الأدوات التي تم إنشاؤها من r2.2 وبناء الهدف //tensorflow:tensorflow_cc.dll باستخدام CUDA 10.2 الذي يحدده Visual Studio 2019.

samhodge في ١٠ يونيو ٢٠٢٠

أنا محتار. أرى أنك تلتقط ملفات a. ضمن com_google_protobuf. ليس لدي أي فكرة عن كيفية رؤيتك لأخطاء الرموز.

إذا لم تقم بتضمين ملفات .o التي تم إنشاؤها من ملف .proto ، فإن الرموز المفقودة فقط هي

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.

يؤدي تضمين ملفات .o .proto توسيع هذه القائمة إلى ما يقرب من 200 رمز مفقود.

samhodge في ١٠ يونيو ٢٠٢٠

تضمين التغريدة _

لقد مضى شهر على إثارة هذه القضية.

لقد جربت كل ما طُلب مني لكننا ما زلنا في المرحلة التي لا يمكننا فيها تشغيل حالة استنساخ أقل من عشرين سطرًا.

تضمنت الرحلة إنشاء بيئة وقت تشغيل ووقت ترجمة كاملة وقابلة للتكرار.

أنا الآن في مرحلة أنه عند الربط يوجد رمزان مفقودان منشئ ومُنشئ GPUOptions C ++ كإعلانات C تشير إلى أنه يجب ربطهما ديناميكيًا

لكننا نحاول الربط بشكل ثابت.

خطوتي التالية هي البحث في وسيط .cc المصنوع من ملف .proto في GitHub لمعرفة ما إذا كانت الرموز المفقودة موجودة بالأبيض والأسود.

من هناك يمكننا أن نرى نتيجتين فقط

الرموز موجودة ونتابع عملية الربط

الرموز مفقودة ونبحث في اتجاه أعلى لإضافة مُنشئ GPUOptions ومُلحق التدمير إلى قائمة DEF في ملف .lds للتأكد من أن تحويل .proro إلى ملف تنفيذي يتوافق مع السلوك المقصود للبرنامج

لكن هذا حل ربط ديناميكي وقد قيل لي إن أفضل حل هو الارتباط الثابت للتغلب على حدود رموز 65 كيلو في Windows

نظرًا لعدم وجود مستندات تصميم حول كيفية تنفيذ bazel لهذه العملية

أنا أعتمد على فريق Tensorflow لإرشادي.

أو أواصل وضع الافتراضات ثم اختبرها بالتجارب ، وهو استخدام ضعيف لمواردي المحدودة

هل يمكنني طلب بعض الإرشادات؟

سام

samhodge في ١١ يونيو ٢٠٢٠

ترك هذا هنا لمرجعي الأخير

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

samhodge في ١١ يونيو ٢٠٢٠

مرحبا سام،
نحن نقدر ملاحظاتك.
كما ذكرت أعلاه ، لا توجد لدي أفكار ، ونحن في المرحلة التي نحتاج فيها إلى خبرة bazel on windows لمساعدتنا في شرح بعض هذه الأفكار.

لسوء الحظ ، يقع فريق bazel في ألمانيا. لديهم أيضًا جداول إجازات مختلفة ، وقيود وعمليات مختلفة للرد على المشكلات من github. كما أنت ، أنتظر أيضًا بعض التعليقات والإرشادات منهم.

gunan في ١١ يونيو ٢٠٢٠

شكرا للشفافية فهي بالتأكيد تساعد مستويات الإحباط

سأجري المزيد من التجارب هذا الصباح إذا سمح الوقت بذلك

أنا ممتن حقًا لأي شيء يمكنك تقديمه

هتافات!

samhodge في ١١ يونيو ٢٠٢٠

الرجاء الاطلاع على config.pb.h و config.pb.cc الناتج من config.proto في

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

بمعنى آخر

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

protobuf.zip

سأقوم بلصق جزء الكود ذي الصلة:

#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();
}

يمكننا أن نرى أن هذه الرموز ليست ملفوفة في cdecl

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

لذا فإن الرموز مفقودة.

سأحاول تحرير:

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

لإضافة *GPUOptions*

ثم انظر إلى أين تذهب الأشياء من هناك.

samhodge في ١٥ يونيو ٢٠٢٠

أقضي بعض الوقت في هذا اليوم

ولكن هناك نوعان من العمل حولها

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

وعلى هذا الخيط الماكرو TF_EXPORT بينما يعرض الرموز ، هذا ليس من خلال طبقة تجميع .proto إلى .pb.cc و .pb.h .

لذلك نحن بحاجة إلى آلية لفضح الرموز التي يتم تجميعها من خلال protobuf

samhodge في ١٥ يونيو ٢٠٢٠

حسنًا ، لقد حصلت على بعض التقدم

من هذا البرنامج

سائق C ++ كما أوصى به gunan

#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;



}

الإخراج من MSVC 2019

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

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

أدلة التضمين هي كما يلي:

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)

كان مرتبطا به

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)

من أين تم إنشاء هذه القطع الأثرية من

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

حيث يحتوي البرنامج النصي

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

بالإضافة إلى ذلك
هذا سائق C ++

#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; 


}

ينتج عنه

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 في ١٥ يونيو ٢٠٢٠

لذا sanjoygunanmeteorcloudy أنت الآن كيف خطوات الاستنساخ باستخدام r2.2 CUDA 10.2 MSVC 2019 وإصدارات CUDNN المذكورة أعلاه.

هنا هو بلدي 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 في ١٥ يونيو ٢٠٢٠

🚀1 🎉1 👍1

بالنظر إلى هذا:

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);
  }

هل سيؤدي هذا إلى أن يكون نوع المخصص وقائمة gpu المرئية على نفس السلسلة.

samhodge في ١٥ يونيو ٢٠٢٠

تضمين التغريدة

لقد كتبت قاعدة win_cc_static_library لإنشاء مكتبة cc ثابتة مرتبطة بجميع الأقسام المتعدية المعطاة على Windows. يرجى التحقق مما إذا كان يساعد.

meteorcloudy في ١٥ يونيو ٢٠٢٠

إذا سمح الوقت ، سأحاول ذلك بعد حوالي 7 ساعات من الآن

لذلك سيكون الأمر مجرد مسألة وجود نفس التبعيات في // t ensorflow: هدف tensorflow_cc.dll وإعطائه اسمًا وسيحدث السحر ويمكنني الارتباط بملف .a أو .lib دون الحاجة إلى كشف أي معلومات إضافية حرف او رمز؟

هل هذا صحيح meteorcloudy ؟

samhodge في ١٥ يونيو ٢٠٢٠

حسنًا ، لقد وجدت بعض الوقت

ها هي طريقتي:

استنساخ r2.2
أضف الملف win_cc_static_library.bzl إلى دليل tensorflow

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"],
)

تعديل tensorflow\BUILD في tensorflow ليشمل بالإضافة إلى ذلك

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

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"]),
)

ثم مصدر التالي buildenv.ps1 كـ . .\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

ثم مصدر النص بازيل بوويرشيل

$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

يبدو أن هذا في طور البناء ، ثم سأقوم بالربط به فقط وأرى ما إذا كانت الرموز مفقودة.

إذا كان الأمر كذلك ، فسأضيف *GPUOptions* إلى ملفات .lds ذات الصلة

samhodge في ١٥ يونيو ٢٠٢٠

longtime
بعد حوالي 6 ساعات الملفات

    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 ...

لم يتم تجميعها ، لذلك أزلت ملفات .obj وبدأت أفكر مرة أخرى أنه كان هناك خلل في نظام الملفات وأنه سيتم بناؤها بسرعة.

أعتقد أنني قد أترك الآلة تعمل طوال الليل وأرى ما يمر.

samhodge في ١٦ يونيو ٢٠٢٠

بعد ساعتين تقريبًا ، قامت الماكينة الأساسية الـ 48 وثلاثة أهداف بحجب هدفين آخرين في المصب.

    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 في ١٦ يونيو ٢٠٢٠

هذا يشبه https://github.com/tensorflow/tensorflow/issues/10521
هل لديك build --define=override_eigen_strong_inline=true محدد في ملف .tf_configure.bazelrc ؟

meteorcloudy في ١٦ يونيو ٢٠٢٠

لست متأكدا ولكن هذا هو الأحدث

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 في ١٦ يونيو ٢٠٢٠

المكتبة الثابتة كبيرة جدًا ، فأين من هنا؟

samhodge في ١٦ يونيو ٢٠٢٠

من الغريب أن يتجاوز الحجم الإجمالي للمكتبة الثابتة حد 2 غيغابايت بينما يبلغ حجم مكتبة الارتباط الديناميكي عشرات ميغابايت فقط؟
هل يمكنك التحقق من bazel-out/x64_windows-opt/bin/tensorflow/tensorflow_cc_static.lib.params لمعرفة المكتبات التي يحاول ربطها؟ ربما يمكننا أولاً القيام ببعض الاختراق للقاعدة لتصفية بعض التبعيات غير المرغوب فيها.

meteorcloudy في ١٦ يونيو ٢٠٢٠

قد يكون أيضًا نتيجة عدم وجود --define=override_eigen_strong_inline=true كخيار بناء ، مما قد يتسبب في أن يكون ملف obj كبيرًا جدًا.
هل يمكنك محاولة إعادة البناء باستخدام --define=override_eigen_strong_inline=true ؟

meteorcloudy في ١٦ يونيو ٢٠٢٠

يمكنني تجربة ذلك قريبًا ، لقد كنت في وقت متأخر من الليل عندما تحققت من ذلك لحفظ بعض الموارد ، قمت بإغلاق مثيل السحابة الكبيرة بين عشية وضحاها.

شكرا لك على النصيحة meteorcloudy لقد كنت مفيدا للغاية. عمل ماكرو bazel سحرًا مع الخيار المضمّن الذي يجب أن نعود إليه في اللعبة

samhodge في ١٦ يونيو ٢٠٢٠

حسنًا ، تكرار الخطوات من https://github.com/tensorflow/tensorflow/issues/39439#issuecomment -644408408 إلا باستخدام

--define=override_eigen_strong_inline=true

samhodge في ١٦ يونيو ٢٠٢٠

طيب كرر الخطوات من # 39439 (تعليق) ماعدا ب
--define=override_eigen_strong_inline=true

الذي يبدو أنه تم إصلاحه ، فإنه يتم إنشاؤه بشكل أسرع الآن ، ونأمل أن يكون حجم الملف أصغر أيضًا.

samhodge في ١٧ يونيو ٢٠٢٠

لقد انتهى للتو فجأة بالرسالة التالية

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 في ١٧ يونيو ٢٠٢٠

لست مندهشًا من أن المكتبة الثابتة كبيرة جدًا. عند إنشاء مكتبة ديناميكية ، أو ملف تنفيذي ، يمكن لخطوة الربط الأخيرة أن تقطع الكثير من الأشياء. ماذا يحدث عندما تقوم بتغذية المكتبة الثابتة الناتجة إلى الرابط النهائي الخاص بك ، وإنشاء ثنائي أصغر.

لست متأكدًا من هذا الفشل ، لأن الملفات التي تم الشكوى منها ليست رؤوسًا.

gunan في ١٧ يونيو ٢٠٢٠

أنا أكرر مع نسخة جديدة وأرى ما إذا كان يمكن تكراره.

لدي مشكلة في استنساخ git الأولي ، لقد تعطلت وبدأت تشغيله مرة أخرى دون حذف جميع الملفات ، ربما كانت هناك بعض الملفات التالفة.

samhodge في ١٧ يونيو ٢٠٢٠

نفس المشكلة

ولكن يتم تسليمها بشكل أسرع بكثير مع الخيار المضمَّن.

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 في ١٧ يونيو ٢٠٢٠

كوني شيطان ماكرة لن يمنعني هذا

لدي هذا 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
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libbucketize_op_gpu.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/libmatrix_exponential_op.lo
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libdeterminant_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libcholesky_op.lo
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bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libreader_base.a
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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
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libencode_png_op.lo
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libdecode_bmp_op.lo
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libunary_ops_composition.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libfake_quant_ops_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libfake_quant_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/util/proto/libdescriptor_pool_registry.a
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libdynamic_partition_op_gpu.lo
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libconditional_accumulator_op.lo
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libcudnn_rnn_kernels.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/util/ctc/libctc_loss_calculator_lib.a
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libcollective_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libclustering_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libload_and_remap_matrix_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libgenerate_vocab_remapping_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/librange_sampler.a
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/boosted_trees/libboosted_trees_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/tensor_forest/libresources.a
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/tensor_forest/libprediction_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/boosted_trees/libresources.a
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/boosted_trees/libstats_ops.lo
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/boosted_trees/libquantile_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/boosted_trees/libprediction_ops.lo
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libspectrogram.a
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libmfcc_mel_filterbank.a
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libmfcc_dct.a
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libmfcc.a
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libencode_wav_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libdecode_wav_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libwhere_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libwhere_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libunravel_index_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libunpack_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libunique_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libtranspose_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libtile_ops_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libtile_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libsplit_v_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libsplit_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libsnapshot_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libsnapshot_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libshape_ops.lo
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libreverse_sequence_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libreverse_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libreverse_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libreshape_op.lo
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libquantize_and_dequantize_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libpad_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libpad_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libpack_op.lo
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libone_hot_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libmirror_pad_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libmirror_pad_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libmatrix_diag_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libmatrix_diag_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libmatrix_set_diag_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libmatrix_set_diag_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/liblistdiff_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libidentity_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libidentity_n_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libhost_constant_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libguarantee_const_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libgather_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libfingerprint_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libextract_volume_patches_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libextract_volume_patches_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libextract_image_patches_op_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libextract_image_patches_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libedit_distance_op.lo
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libdiag_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libdepth_space_ops_gpu.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libdepth_space_ops.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libconcat_op.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libbcast_ops.lo
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libbatch_space_ops.lo
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bazel-out/x64_windows-opt/bin/tensorflow/core/framework/libop_gen_lib.a
bazel-out/x64_windows-opt/bin/tensorflow/c/libkernels.a
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bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libsobol_op.lo
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bazel-out/x64_windows-opt/bin/tensorflow/compiler/tf2xla/cc/libxla_jit_ops.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/tf2xla/libresource_operation_table.a
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bazel-out/x64_windows-opt/bin/tensorflow/cc/libcc_ops.lo
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bazel-out/x64_windows-opt/bin/tensorflow/compiler/jit/libxla_device_no_jit_rewrite_registration.a
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bazel-out/x64_windows-opt/bin/tensorflow/compiler/jit/libxla_kernel_creator.lo
bazel-out/x64_windows-opt/bin/tensorflow/compiler/jit/libxla_gpu_device.lo
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bazel-out/x64_windows-opt/bin/tensorflow/compiler/xla/service/libhlo_parser.a
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bazel-out/x64_windows-opt/bin/tensorflow/compiler/xla/service/cpu/libcpu_transfer_manager.lo
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bazel-out/x64_windows-opt/bin/external/llvm-project/llvm/libx86_info.a
bazel-out/x64_windows-opt/bin/external/llvm-project/llvm/libmc_disassembler.a
bazel-out/x64_windows-opt/bin/external/llvm-project/llvm/libx86_desc.a
bazel-out/x64_windows-opt/bin/external/llvm-project/llvm/libcf_guard.a
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bazel-out/x64_windows-opt/bin/tensorflow/compiler/xla/service/libwhile_loop_invariant_code_motion.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/xla/service/libtriangular_solve_expander.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/xla/service/libindexed_array_analysis.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/xla/service/libcholesky_expander.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/xla/service/libbatch_dot_simplification.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/xla/libcpu_function_runtime.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/xla/service/libconditional_to_select.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/xla/service/libtree_reduction_rewriter.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/xla/service/libmap_inliner.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/xla/service/cpu/libtarget_machine_features.a
bazel-out/x64_windows-opt/bin/external/llvm-project/llvm/libruntime_dyld.a
bazel-out/x64_windows-opt/bin/external/llvm-project/llvm/libcoroutines.a
bazel-out/x64_windows-opt/bin/external/llvm-project/llvm/libpasses.a
bazel-out/x64_windows-opt/bin/external/llvm-project/llvm/liborc_error.a
bazel-out/x64_windows-opt/bin/external/llvm-project/llvm/libjit_link.a
bazel-out/x64_windows-opt/bin/external/llvm-project/llvm/libexecution_engine.a
bazel-out/x64_windows-opt/bin/external/llvm-project/llvm/liborc_jit.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/xla/service/cpu/libruntime_single_threaded_fft.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/xla/service/cpu/libruntime_single_threaded_conv2d.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/xla/service/cpu/libruntime_matmul_mkl.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/xla/service/cpu/libruntime_matmul.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/xla/service/cpu/libruntime_key_value_sort.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/xla/service/cpu/libruntime_fork_join.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/xla/service/cpu/libruntime_fft.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/xla/service/cpu/libruntime_conv2d.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/xla/service/cpu/libruntime_conv2d_mkl.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/xla/service/cpu/libruntime_fp16.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/xla/service/cpu/liborc_jit_memory_mapper.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/xla/service/cpu/libvector_support_library.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/xla/service/cpu/libllvm_ir_runtime.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/xla/service/cpu/libcompiler_functor.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/xla/service/cpu/libsimple_orc_jit.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/xla/service/cpu/libshape_partition.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/xla/service/cpu/libir_emission_utils.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/xla/service/cpu/libtiled_dot_emitter.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/xla/service/cpu/libdot_op_emitter.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/xla/service/cpu/libparallel_task_assignment.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/xla/service/cpu/libparallel_loop_emitter.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/xla/service/cpu/libir_function.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/xla/service/cpu/libir_emitter.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/xla/service/cpu/libcpu_layout_assignment.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/xla/service/cpu/libcpu_instruction_fusion.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/xla/service/cpu/libcpu_executable.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/xla/service/cpu/libconv_canonicalization.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/xla/service/cpu/libbuffer_info_util.a
bazel-out/x64_windows-opt/bin/tensorflow/compiler/xla/service/cpu/libcpu_compiler.lo
bazel-out/x64_windows-opt/bin/tensorflow/compiler/jit/libxla_cpu_device.lo
bazel-out/x64_windows-opt/bin/tensorflow/cc/libmath_ops_internal.lo
bazel-out/x64_windows-opt/bin/tensorflow/cc/libarray_ops_internal.lo
bazel-out/x64_windows-opt/bin/tensorflow/cc/libcc_ops_internal.lo
bazel-out/x64_windows-opt/bin/tensorflow/cc/libwhile_loop.a
bazel-out/x64_windows-opt/bin/tensorflow/cc/libgrad_op_registry.a
bazel-out/x64_windows-opt/bin/tensorflow/cc/libgradients.a
bazel-out/x64_windows-opt/bin/tensorflow/cc/libnn_grad.lo
bazel-out/x64_windows-opt/bin/tensorflow/cc/libmath_grad.lo
bazel-out/x64_windows-opt/bin/tensorflow/cc/libimage_grad.lo
bazel-out/x64_windows-opt/bin/tensorflow/cc/libdata_flow_grad.lo
bazel-out/x64_windows-opt/bin/tensorflow/cc/libarray_grad.lo
bazel-out/x64_windows-opt/bin/tensorflow/cc/saved_model/libreader.a
bazel-out/x64_windows-opt/bin/tensorflow/cc/saved_model/libloader_lite_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/c/libc_api_no_xla.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/libworker_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/libmaster_proto_cc_impl.lo
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libmessage_wrappers.a
bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libcall_options.a
bazel-out/x64_windows-opt/bin/external/boringssl/libcrypto.a
bazel-out/x64_windows-opt/bin/external/boringssl/libssl.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgpr_base.a
bazel-out/x64_windows-opt/bin/external/com_github_grpc_grpc/libgrpc_trace.a
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

الذي يمكنني استخدامه لربط السائق الخاص بي.

تمنى لي الحظ!

samhodge في ١٧ يونيو ٢٠٢٠

حسنًا ، لذلك تم إصلاحه YAYAYAAYA!

هنا هو الإخراج

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 . . .

الملف TFDriver.cpp

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

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

تضمن

انت مين() {
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 في ١٧ يونيو ٢٠٢٠

👍2 🚀1 ❤1 🎉1

بالنسبة للسجل ، يبلغ حجم الملف 1.3 ميجا بايت.

samhodge في ١٧ يونيو ٢٠٢٠

شكرًا جزيلاً على دعمكم ، كانت هذه مشكلة مجعدة ، والآن أحتاج إلى التفكير في البناء ضد MSVC 2017 مع CUDA 9.2.1.148 مع CUDNN المرتبط ، وسأفتح تذكرة جديدة إذا تبين أن ذلك يمثل مشكلة.

samhodge في ١٧ يونيو ٢٠٢٠

سأحاول تجربة إصدار قديم من Tensorflow و MSVC 2015 لمعرفة ما إذا كان إصلاح bazel لا يزال يعمل.

samhodge في ١٧ يونيو ٢٠٢٠

CcInfo غير معروف لـ bazel 0.19.2

تضمين التغريدة
هل تعرف أي إصدار من bazel يقدم هذه الميزة وسيظل يجمع tensorflow r1.12؟

لم أعد قادرًا على استخدام r1.12 مع الحل الخاص بك ، هذه المشكلة ، وسأضطر إلى الخروج بخطة جديدة تتضمن استخدام MSVC 2017 و r2.2 على ما أعتقد.

آسف لإضاعة وقتك.

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

samhodge في ١٧ يونيو ٢٠٢٠

samhodge سعيد لأنه ساعد!
إذا كانت قائمة المكتبات الثابتة لإنشاء مكتبة الارتباط الحيوي (DLL) هي التي ساعدت في حل المشكلة ، فيمكنك أيضًا الحصول على القائمة من ملف معلمة مكتبة الارتباط الحيوي (DLL) بحيث لا تحتاج إلى قاعدة cc_static_library على الإطلاق.

meteorcloudy في ١٧ يونيو ٢٠٢٠

samhodge سعيد لأنه ساعد!
إذا كانت قائمة المكتبات الثابتة لإنشاء مكتبة الارتباط الحيوي (DLL) هي التي ساعدت في حل المشكلة ، فيمكنك أيضًا الحصول على القائمة من ملف معلمة مكتبة الارتباط الحيوي (DLL) بحيث لا تحتاج إلى قاعدة cc_static_library على الإطلاق.

لذلك قد يكون هذا فكرة جيدة ، هل سيظل ذلك بحاجة إلى CcInfo؟

samhodge في ١٨ يونيو ٢٠٢٠

لذلك قد يكون هذا فكرة جيدة ، هل سيظل ذلك بحاجة إلى CcInfo؟

لا ، ملف المعلمة يتم إنشاؤه بواسطة قاعدة cc الأصلية في Bazel (مكتوبة برمز Java).

meteorcloudy في ١٨ يونيو ٢٠٢٠

ممتاز ، لذا فإن ملفات .lib و. a و .lo و. obj كمدخلات لملف dll. ستكون مناسبة للربط الثابت هل ستكون رمزًا مستقلًا للموضع؟

samhodge في ١٨ يونيو ٢٠٢٠

هل تعتقد أن الترتيب في ملف .params مهم؟

samhodge في ١٨ يونيو ٢٠٢٠

ممتاز ، لذا فإن ملفات .lib و. a و .lo و. obj كمدخلات لملف dll. ستكون مناسبة للربط الثابت هل ستكون رمزًا مستقلًا للموضع؟

أنا أعتقد هذا

هل تعتقد أن الترتيب في ملف .params مهم؟

لست متأكدًا ، لكنني سأحاول الحفاظ على ترتيب المكتبات.

meteorcloudy في ١٨ يونيو ٢٠٢٠

سأحاول ذلك مع القطع الأثرية r1.12 التي أمتلكها بالفعل وأرى ما إذا كانت تعمل كما هو متوقع.

هذا هو الملف .params الذي أعمل معه

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
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/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/libgrpc_server_lib.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/libgrpc_master_service.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/libgrpc_master_service_impl.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/liblocal_master.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libmaster.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libmaster_session.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libscheduler.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/librpc_collective_executor_mgr.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libcollective_param_resolver_distributed.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libcollective_rma_distributed.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libdevice_resolver_distributed.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/eager/libgrpc_eager_service_impl.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/eager/libgrpc_eager_service.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/eager/libeager_service_impl.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/common_runtime/eager/libexecute.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/common_runtime/eager/libeager_operation.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/common_runtime/eager/libattr_builder.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/common_runtime/eager/libtensor_handle.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/common_runtime/eager/libcontext.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/common_runtime/eager/libeager_executor.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/common_runtime/eager/libkernel_and_device.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/libeager_service_proto_cc.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/libgrpc_worker_cache.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/libgrpc_channel.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/libgrpc_remote_worker.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libworker_cache_logger.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libworker_cache_partial.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/libgrpc_worker_service.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/libgrpc_tensor_coding.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/libgrpc_worker_service_impl.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/libgrpc_util.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/librecent_request_ids.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libworker.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libpartial_run_mgr.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libsession_mgr.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/rpc/librpc_rendezvous_mgr.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libbase_rendezvous_mgr.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libworker_session.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libgraph_mgr.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/debug/libdebug.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/debug/libdebugger_state_impl.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/libdebug_ops_op_lib.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libdebug_ops.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/debug/libdebug_io_utils.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/debug/libdebug_callback_registry.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/debug/libdebug_node_key.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/debug/libdebug_service_proto_cc.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/debug/libdebugger_event_metadata_proto_cc.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc++.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc++_base.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libcensus.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_lb_policy_pick_first.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_lb_policy_round_robin.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_server_load_reporting.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_max_age_filter.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_message_size_filter.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_resolver_dns_ares.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/third_party/address_sorting/libaddress_sorting.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_resolver_dns_native.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_resolver_sockaddr.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_transport_chttp2_server_insecure.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_transport_inproc.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_workaround_cronet_compression_filter.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_server_backward_compatibility.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_lb_policy_grpclb_secure.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_resolver_fake.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_transport_chttp2_client_secure.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_transport_chttp2_server_secure.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_secure.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libtsi.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libalts_frame_protector.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libalts_util.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libalts_proto.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_nanopb.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_transport_chttp2_client_insecure.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_transport_chttp2_client_connector.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_client_channel.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_client_authority_filter.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_deadline_filter.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libtsi_interface.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/boringssl/libssl.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/boringssl/libcrypto.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_transport_chttp2_server.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_transport_chttp2.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_http_filters.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_base.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_base_c.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_trace.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc_transport_chttp2_alpn.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgpr_base.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/grpc/libgrpc++_codegen_base_src.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/librequest_id.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libtensor_coding.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libremote_device.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libcall_options.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libmessage_wrappers.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/libmaster_proto_cc.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/libworker_proto_cc.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/distributed_runtime/libserver_lib.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/cc/libclient_session.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/cc/profiler/libprofiler.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_stats.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_code.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_graph.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_op.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_show_multi.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_scope.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_show.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_tensor.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_timeline.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_node_show.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_node.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/external/jsoncpp_git/libjsoncpp.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/internal/libtfprof_utils.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/c/libcheckpoint_reader.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/c/libtf_status_helper.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/c/libc_api.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/cc/saved_model/libloader_lite.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/cc/saved_model/libreader.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/cc/libarray_grad.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/cc/libdata_flow_grad.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/cc/libimage_grad.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/cc/libmath_grad.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/cc/libnn_grad.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/cc/libgradients.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/cc/libgrad_op_registry.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/cc/libwhile_loop.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/cc/libcc_ops.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/cc/libcc_ops_internal.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/cc/libconst_op.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/cc/libscope.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/cc/libops.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/libop_gen_lib.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/libtfprof_options.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/profiler/libprotos_all_cc.a
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libbatch_space_ops.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libbatch_space_ops_gpu.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libbcast_ops.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libbitcast_op.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libbroadcast_to_op.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libbroadcast_to_op_gpu.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libconcat_op.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libconstant_op.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libconstant_op_gpu.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libdepth_space_ops.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libdepth_space_ops_gpu.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libdiag_op.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libdiag_op_gpu.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libedit_distance_op.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libextract_image_patches_op.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libextract_image_patches_op_gpu.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libextract_volume_patches_op.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libextract_volume_patches_op_gpu.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libgather_nd_op.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libgather_nd_op_gpu.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libgather_op.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libguarantee_const_op.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libhost_constant_op.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libidentity_n_op.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libidentity_op.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/liblistdiff_op.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libmatrix_diag_op.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libmatrix_diag_op_gpu.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libmatrix_set_diag_op.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libmatrix_set_diag_op_gpu.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libmirror_pad_op.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libmirror_pad_op_gpu.lo
/WHOLEARCHIVE:bazel-out/x64_windows-opt/bin/tensorflow/core/kernels/libone_hot_op.lo
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samhodge في ١٩ يونيو ٢٠٢٠

@ Artem-B في حال كان لديه أي أفكار حول المشكلة الأصلية ، والتي يبدو أنها تتكرر مع النظام الثنائي المرتبط بشكل ثابت.

gunan في ٢٠ يونيو ٢٠٢٠

👍1

ما زلت أعمل مع القطع الأثرية r1.12 كأهداف ارتباط للثنائي الخاص بي. مجرد التعامل مع مسارات البحث وعدد أهداف الارتباط يعني أن هناك العديد من فرص الفشل ، لقد اكتشفت العديد منها حتى الآن. عندما أجد التقليب الناجح سأعلمك بذلك.

samhodge في ٢٠ يونيو ٢٠٢٠

انتظر ، يبدو أن حقول protobuf تعمل بشكل سليم في المكتبة المرتبطة بشكل ثابت ، أليس كذلك؟ لقد أخطأت في قراءة النواتج التي نشرتها.

gunan في ٢٠ يونيو ٢٠٢٠

👍1

لقد تلقيت أيضًا ردًا من فريق protobuf. يشتبهون في أن السلوك يمكن أن يكون ناتجًا عن ارتباط مزدوج:

لمعرفة ما إذا تم تعيين حقل سلسلة فارغ افتراضيًا أم لا ، نتحقق مما إذا كان عنوان السلسلة يطابق عنوان سلسلة فارغة مفردة. أعتقد أنه يمكن أن ينتهي بك الأمر بمشاكل إذا تم تكرار وقت تشغيل protobuf في مكتبات مشتركة متعددة لأن هناك نسخًا متعددة من هذه السلسلة الفارغة "المفردة" ولا يمكننا أن نقول بشكل موثوق ما إذا تم تعيين حقل سلسلة أم لا.

لذلك ، يبدو أن ربط protobuf مرتين يمكن أن يسبب هذا الخطأ. يبدو أن الربط الثابت يمكنه حل المشكلة.
ومع ذلك ، بالنسبة إلى TF ، فإن المشكلة المتعلقة بتقديم مكتبة للربط الثابت مقابلها هي حجم الملف الثنائي. ولكن يبدو أنك تمكنت من "الاختراق معًا" لحل.

gunan في ٢٠ يونيو ٢٠٢٠

انتظر ، يبدو أن حقول protobuf تعمل بشكل سليم في المكتبة المرتبطة بشكل ثابت ، أليس كذلك؟ لقد أخطأت في قراءة النواتج التي نشرتها.

نعم ، وكان لدي دليل على هذا السلوك مع إصدارات macOS و Linux الخاصة بي من برمجياتي المرتبطة بالفعل بشكل ثابت عن طريق عمل لصق لجميع الرموز الخاصة بي وإعادة البحث عنها في رمز سلس. باستخدام ar كما هو مذكور هنا:

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

لكن ar غير موجود على Windows 10 واستخدام link.exe فشل في حساب المصاريف.

بعد أن رأيت التفاصيل في كيفية عمل bazel مع ملفات .param ، يمكنني معرفة أي ملفات .a .lo .lib لربطها بشكل ثابت ضمن MSVC 2015 لذلك لا نحصل على libprotobuf.lib و libprotobuf.dll في الرموز الموجودة بالفعل في tensorflow_cc.lib و tensorflow_cc.dll ، وهو ما يتسبب في السلوك المبلغ عنه في هذه التذكرة.

samhodge في ٢٠ يونيو ٢٠٢٠

أنا أقل من 36 رمزًا مفقودًا بمجرد أن يكون هذا الرقم صفرًا يمكنني اختباره.

samhodge في ٢٠ يونيو ٢٠٢٠

لقد نسيت أيضًا أن لديّ اعتماد على الإطار ربما يكون هذا هو الرموز المفقودة

samhodge في ٢٠ يونيو ٢٠٢٠

أعتقد أنني بحاجة إلى ربط ثابت أكثر قليلاً "خارج الصندوق"

الحل المخترق الخاص بي بدون الارتباط بالمخازن المؤقتة للبروتوكول ( protobuf_archive ) 3.6.0 على tensorflow r1.12

يتركني مع الرموز المفقودة التالية

بدون الرهان على هذه الخاصية تأتي جميعها من ملفات .proto

  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'"

هنا قائمة libs بلدي

$ENV:TFLIBS1="/WHOLEARCHIVE:c/eager/libc_api.a;/WHOLEARCHIVE:core/distributed_runtime/rpc/eager/libgrpc_eager_client.a;/WHOLEARCHIVE:core/distributed_runtime/rpc/libgrpc_server_lib.lo;/WHOLEARCHIVE:core/distributed_runtime/rpc/libgrpc_master_service.lo;/WHOLEARCHIVE:core/distributed_runtime/rpc/libgrpc_master_service_impl.a;/WHOLEARCHIVE:core/distributed_runtime/liblocal_master.a;/WHOLEARCHIVE:core/distributed_runtime/libmaster.a;/WHOLEARCHIVE:core/distributed_runtime/libmaster_session.a;/WHOLEARCHIVE:core/distributed_runtime/libscheduler.a;/WHOLEARCHIVE:core/distributed_runtime/librpc_collective_executor_mgr.a;/WHOLEARCHIVE:core/distributed_runtime/libcollective_param_resolver_distributed.a;/WHOLEARCHIVE:core/distributed_runtime/libcollective_rma_distributed.a;/WHOLEARCHIVE:core/distributed_runtime/libdevice_resolver_distributed.a;/WHOLEARCHIVE:core/distributed_runtime/rpc/eager/libgrpc_eager_service_impl.a;/WHOLEARCHIVE:core/distributed_runtime/rpc/eager/libgrpc_eager_service.a;/WHOLEARCHIVE:core/distributed_runtime/eager/libeager_service_impl.a;/WHOLEARCHIVE:core/common_runtime/eager/libexecute.a;/WHOLEARCHIVE:core/common_runtime/eager/libeager_operation.a;/WHOLEARCHIVE:core/common_runtime/eager/libattr_builder.a;/WHOLEARCHIVE:core/common_runtime/eager/libtensor_handle.a;/WHOLEARCHIVE:core/common_runtime/eager/libcontext.a;/WHOLEARCHIVE:core/common_runtime/eager/libeager_executor.a;/WHOLEARCHIVE:core/common_runtime/eager/libkernel_and_device.a;/WHOLEARCHIVE:core/libeager_service_proto_cc.a;/WHOLEARCHIVE:core/distributed_runtime/rpc/libgrpc_worker_cache.a;/WHOLEARCHIVE:core/distributed_runtime/rpc/libgrpc_channel.a;/WHOLEARCHIVE:core/distributed_runtime/rpc/libgrpc_remote_worker.a;/WHOLEARCHIVE:core/distributed_runtime/libworker_cache_logger.a;/WHOLEARCHIVE:core/distributed_runtime/libworker_cache_partial.a;/WHOLEARCHIVE:core/distributed_runtime/rpc/libgrpc_worker_service.a;/WHOLEARCHIVE:core/distributed_runtime/rpc/libgrpc_tensor_coding.a;/WHOLEARCHIVE:core/distributed_runtime/rpc/libgrpc_worker_service_impl.a;/WHOLEARCHIVE:core/distributed_runtime/rpc/libgrpc_util.a;/WHOLEARCHIVE:core/distributed_runtime/librecent_request_ids.a;/WHOLEARCHIVE:core/distributed_runtime/libworker.a;/WHOLEARCHIVE:core/distributed_runtime/libpartial_run_mgr.a;/WHOLEARCHIVE:core/distributed_runtime/libsession_mgr.a;/WHOLEARCHIVE:core/distributed_runtime/rpc/librpc_rendezvous_mgr.a;/WHOLEARCHIVE:core/distributed_runtime/libbase_rendezvous_mgr.a;/WHOLEARCHIVE:core/distributed_runtime/libworker_session.a;/WHOLEARCHIVE:core/distributed_runtime/libgraph_mgr.a;/WHOLEARCHIVE:core/debug/libdebug.lo;/WHOLEARCHIVE:core/debug/libdebugger_state_impl.lo;/WHOLEARCHIVE:core/libdebug_ops_op_lib.lo;/WHOLEARCHIVE:core/kernels/libdebug_ops.lo;/WHOLEARCHIVE:core/debug/libdebug_io_utils.lo;/WHOLEARCHIVE:core/debug/libdebug_callback_registry.a;/WHOLEARCHIVE:core/debug/libdebug_node_key.a;/WHOLEARCHIVE:core/debug/libdebug_service_proto_cc.a;/WHOLEARCHIVE:core/debug/libdebugger_event_metadata_proto_cc.a;/WHOLEARCHIVE:grpc/libgrpc++.a;/WHOLEARCHIVE:grpc/libgrpc++_base.a;/WHOLEARCHIVE:grpc/libgrpc.a;/WHOLEARCHIVE:grpc/libcensus.a;/WHOLEARCHIVE:grpc/libgrpc_lb_policy_pick_first.a;/WHOLEARCHIVE:grpc/libgrpc_lb_policy_round_robin.a;/WHOLEARCHIVE:grpc/libgrpc_server_load_reporting.a;/WHOLEARCHIVE:grpc/libgrpc_max_age_filter.a;/WHOLEARCHIVE:grpc/libgrpc_message_size_filter.a;/WHOLEARCHIVE:grpc/libgrpc_resolver_dns_ares.a;/WHOLEARCHIVE:grpc/third_party/address_sorting/libaddress_sorting.a;/WHOLEARCHIVE:grpc/libgrpc_resolver_dns_native.a;/WHOLEARCHIVE:grpc/libgrpc_resolver_sockaddr.a;/WHOLEARCHIVE:grpc/libgrpc_transport_chttp2_server_insecure.a;/WHOLEARCHIVE:grpc/libgrpc_transport_inproc.a;/WHOLEARCHIVE:grpc/libgrpc_workaround_cronet_compression_filter.a;/WHOLEARCHIVE:grpc/libgrpc_server_backward_compatibility.a;/WHOLEARCHIVE:grpc/libgrpc_lb_policy_grpclb_secure.a;/WHOLEARCHIVE:grpc/libgrpc_resolver_fake.a;/WHOLEARCHIVE:grpc/libgrpc_transport_chttp2_client_secure.a;/WHOLEARCHIVE:grpc/libgrpc_transport_chttp2_server_secure.a;/WHOLEARCHIVE:grpc/libgrpc_secure.a;/WHOLEARCHIVE:grpc/libtsi.a;/WHOLEARCHIVE:grpc/libalts_frame_protector.a;/WHOLEARCHIVE:grpc/libalts_util.a;/WHOLEARCHIVE:grpc/libalts_proto.a;/WHOLEARCHIVE:grpc/libgrpc_nanopb.a;/WHOLEARCHIVE:grpc/libgrpc_transport_chttp2_client_insecure.a;/WHOLEARCHIVE:grpc/libgrpc_transport_chttp2_client_connector.a;/WHOLEARCHIVE:grpc/libgrpc_client_channel.a;/WHOLEARCHIVE:grpc/libgrpc_client_authority_filter.a;/WHOLEARCHIVE:grpc/libgrpc_deadline_filter.a;/WHOLEARCHIVE:grpc/libtsi_interface.a;/WHOLEARCHIVE:boringssl/libssl.a;/WHOLEARCHIVE:boringssl/libcrypto.a;/WHOLEARCHIVE:grpc/libgrpc_transport_chttp2_server.a;/WHOLEARCHIVE:grpc/libgrpc_transport_chttp2.a;/WHOLEARCHIVE:grpc/libgrpc_http_filters.a;/WHOLEARCHIVE:grpc/libgrpc_base.a;/WHOLEARCHIVE:grpc/libgrpc_base_c.a;/WHOLEARCHIVE:grpc/libgrpc_trace.a;/WHOLEARCHIVE:grpc/libgrpc_transport_chttp2_alpn.a;/WHOLEARCHIVE:grpc/libgpr_base.a;/WHOLEARCHIVE:grpc/libgrpc++_codegen_base_src.a;/WHOLEARCHIVE:core/distributed_runtime/librequest_id.a;/WHOLEARCHIVE:core/distributed_runtime/libtensor_coding.a;/WHOLEARCHIVE:core/distributed_runtime/libremote_device.a;/WHOLEARCHIVE:core/distributed_runtime/libcall_options.a;/WHOLEARCHIVE:core/distributed_runtime/libmessage_wrappers.a;/WHOLEARCHIVE:core/libmaster_proto_cc.a;/WHOLEARCHIVE:core/libworker_proto_cc.a;/WHOLEARCHIVE:core/distributed_runtime/libserver_lib.a;/WHOLEARCHIVE:cc/libclient_session.a;/WHOLEARCHIVE:cc/profiler/libprofiler.a;/WHOLEARCHIVE:core/profiler/internal/libtfprof_stats.a;/WHOLEARCHIVE:core/profiler/internal/libtfprof_code.a;/WHOLEARCHIVE:core/profiler/internal/libtfprof_graph.a;/WHOLEARCHIVE:core/profiler/internal/libtfprof_op.a;/WHOLEARCHIVE:core/profiler/internal/libtfprof_show_multi.a;/WHOLEARCHIVE:core/profiler/internal/libtfprof_scope.a;/WHOLEARCHIVE:core/profiler/internal/libtfprof_show.a;/WHOLEARCHIVE:core/profiler/internal/libtfprof_tensor.a;/WHOLEARCHIVE:core/profiler/internal/libtfprof_timeline.a;/WHOLEARCHIVE:core/profiler/internal/libtfprof_node_show.a;/WHOLEARCHIVE:core/profiler/internal/libtfprof_node.a;/WHOLEARCHIVE:jsoncpp_git/libjsoncpp.a;/WHOLEARCHIVE:core/profiler/internal/libtfprof_utils.a;/WHOLEARCHIVE:c/libcheckpoint_reader.a;/WHOLEARCHIVE:c/libtf_status_helper.a;/WHOLEARCHIVE:c/libc_api.a;/WHOLEARCHIVE:cc/saved_model/libloader_lite.a;/WHOLEARCHIVE:cc/saved_model/libreader.a;/WHOLEARCHIVE:cc/libarray_grad.lo;/WHOLEARCHIVE:cc/libdata_flow_grad.lo;/WHOLEARCHIVE:cc/libimage_grad.lo;/WHOLEARCHIVE:cc/libmath_grad.lo;/WHOLEARCHIVE:cc/libnn_grad.lo;/WHOLEARCHIVE:cc/libgradients.a;/WHOLEARCHIVE:cc/libgrad_op_registry.a;/WHOLEARCHIVE:cc/libwhile_loop.a;/WHOLEARCHIVE:cc/libcc_ops.lo;/WHOLEARCHIVE:cc/libcc_ops_internal.lo;/WHOLEARCHIVE:cc/libconst_op.a;/WHOLEARCHIVE:cc/libscope.a;/WHOLEARCHIVE:cc/libops.a;/WHOLEARCHIVE:core/libop_gen_lib.a;/WHOLEARCHIVE:core/profiler/libtfprof_options.a;/WHOLEARCHIVE:core/profiler/libprotos_all_cc.a;/WHOLEARCHIVE:core/kernels/libbatch_space_ops.lo;/WHOLEARCHIVE:core/kernels/libbatch_space_ops_gpu.lo;/WHOLEARCHIVE:core/kernels/libbcast_ops.lo;/WHOLEARCHIVE:core/kernels/libbitcast_op.lo;/WHOLEARCHIVE:core/kernels/libbroadcast_to_op.lo;/WHOLEARCHIVE:core/kernels/libbroadcast_to_op_gpu.lo;/WHOLEARCHIVE:core/kernels/libconcat_op.lo;/WHOLEARCHIVE:core/kernels/libconstant_op.lo;/WHOLEARCHIVE:core/kernels/libconstant_op_gpu.lo;/WHOLEARCHIVE:core/kernels/libdepth_space_ops.lo;/WHOLEARCHIVE:core/kernels/libdepth_space_ops_gpu.lo;/WHOLEARCHIVE:core/kernels/libdiag_op.lo;/WHOLEARCHIVE:core/kernels/libdiag_op_gpu.lo;/WHOLEARCHIVE:core/kernels/libedit_distance_op.lo;/WHOLEARCHIVE:core/kernels/libextract_image_patches_op.lo;/WHOLEARCHIVE:core/kernels/libextract_image_patches_op_gpu.lo;/WHOLEARCHIVE:core/kernels/libextract_volume_patches_op.lo;/WHOLEARCHIVE:core/kernels/libextract_volume_patches_op_gpu.lo;/WHOLEARCHIVE:core/kernels/libgather_nd_op.lo;/WHOLEARCHIVE:core/kernels/libgather_nd_op_gpu.lo;/WHOLEARCHIVE:core/kernels/libgather_op.lo;/WHOLEARCHIVE:core/kernels/libguarantee_const_op.lo;/WHOLEARCHIVE:core/kernels/libhost_constant_op.lo;/WHOLEARCHIVE:core/kernels/libidentity_n_op.lo;/WHOLEARCHIVE:core/kernels/libidentity_op.lo;/WHOLEARCHIVE:core/kernels/liblistdiff_op.lo;/WHOLEARCHIVE:core/kernels/libmatrix_diag_op.lo;/WHOLEARCHIVE:core/kernels/libmatrix_diag_op_gpu.lo;/WHOLEARCHIVE:core/kernels/libmatrix_set_diag_op.lo;/WHOLEARCHIVE:core/kernels/libmatrix_set_diag_op_gpu.lo;/WHOLEARCHIVE:core/kernels/libmirror_pad_op.lo;/WHOLEARCHIVE:core/kernels/libmirror_pad_op_gpu.lo;/WHOLEARCHIVE:core/kernels/libone_hot_op.lo;/WHOLEARCHIVE:core/kernels/libone_hot_op_gpu.lo;/WHOLEARCHIVE:core/kernels/libpack_op.lo;/WHOLEARCHIVE:core/kernels/libpad_op.lo;/WHOLEARCHIVE:core/kernels/libpad_op_gpu.lo;/WHOLEARCHIVE:core/kernels/libquantize_and_dequantize_op.lo;/WHOLEARCHIVE:core/kernels/libquantize_and_dequantize_op_gpu.lo;/WHOLEARCHIVE:core/kernels/libreshape_op.lo;/WHOLEARCHIVE:core/kernels/libreverse_op.lo;/WHOLEARCHIVE:core/kernels/libreverse_op_gpu.lo;/WHOLEARCHIVE:core/kernels/libreverse_sequence_op.lo;/WHOLEARCHIVE:core/kernels/libreverse_sequence_op_gpu.lo;/WHOLEARCHIVE:core/kernels/libshape_ops.lo;/WHOLEARCHIVE:core/kernels/libslice_op.lo;/WHOLEARCHIVE:core/kernels/libslice_op_gpu.lo;/WHOLEARCHIVE:core/kernels/libsnapshot_op.lo;/WHOLEARCHIVE:core/kernels/libsnapshot_op_gpu.lo;/WHOLEARCHIVE:core/kernels/libsplit_op.lo;/WHOLEARCHIVE:core/kernels/libsplit_v_op.lo;/WHOLEARCHIVE:core/kernels/libstrided_slice_op.lo;/WHOLEARCHIVE:core/kernels/libstrided_slice_op_gpu.lo;/WHOLEARCHIVE:core/kernels/libtile_ops.lo;/WHOLEARCHIVE:core/kernels/libtile_ops_gpu.lo;/WHOLEARCHIVE:core/kernels/libtranspose_op.lo;/WHOLEARCHIVE:core/kernels/libunique_op.lo;/WHOLEARCHIVE:core/kernels/libunpack_op.lo;/WHOLEARCHIVE:core/kernels/libunravel_index_op.lo;/WHOLEARCHIVE:core/kernels/libwhere_op.lo;/WHOLEARCHIVE:core/kernels/libwhere_op_gpu.lo;/WHOLEARCHIVE:core/kernels/libdecode_wav_op.lo;/WHOLEARCHIVE:core/kernels/libencode_wav_op.lo;/WHOLEARCHIVE:core/kernels/libmfcc_op.lo;/WHOLEARCHIVE:core/kernels/libmfcc.a;/WHOLEARCHIVE:core/kernels/libmfcc_dct.a;/WHOLEARCHIVE:core/kernels/libmfcc_mel_filterbank.a;/WHOLEARCHIVE:core/kernels/libspectrogram_op.lo;/WHOLEARCHIVE:core/kernels/libspectrogram.a;/WHOLEARCHIVE:core/libaudio_ops_op_lib.lo;/WHOLEARCHIVE:core/kernels/libbatch_kernels.lo;/WHOLEARCHIVE:core/libbatch_ops_op_lib.lo;/WHOLEARCHIVE:core/kernels/batching_util/libperiodic_function_dynamic.a;/WHOLEARCHIVE:core/kernels/boosted_trees/libprediction_ops.lo;/WHOLEARCHIVE:core/kernels/boosted_trees/libquantile_ops.lo;/WHOLEARCHIVE:core/kernels/boosted_trees/libresource_ops.lo;/WHOLEARCHIVE:core/kernels/boosted_trees/libstats_ops.lo;/WHOLEARCHIVE:core/kernels/boosted_trees/libtraining_ops.lo;/WHOLEARCHIVE:core/kernels/boosted_trees/libresources.a;/WHOLEARCHIVE:core/libboosted_trees_ops_op_lib.lo;/WHOLEARCHIVE:core/kernels/boosted_trees/libboosted_trees_proto_cc.a;/WHOLEARCHIVE:core/kernels/libcandidate_sampler_ops.lo;/WHOLEARCHIVE:core/kernels/librange_sampler.a;/WHOLEARCHIVE:core/libcandidate_sampling_ops_op_lib.lo;/WHOLEARCHIVE:core/kernels/libgenerate_vocab_remapping_op.lo;/WHOLEARCHIVE:core/kernels/libload_and_remap_matrix_op.lo;/WHOLEARCHIVE:core/libcheckpoint_ops_op_lib.lo;/WHOLEARCHIVE:core/kernels/libcollective_ops.lo;/WHOLEARCHIVE:core/libcollective_ops_op_lib.lo;/WHOLEARCHIVE:core/kernels/libctc_ops.lo;/WHOLEARCHIVE:core/libctc_ops_op_lib.lo;/WHOLEARCHIVE:core/util/ctc/libctc_loss_calculator_lib.a;/WHOLEARCHIVE:core/kernels/libcudnn_rnn_kernels.lo;/WHOLEARCHIVE:core/libcudnn_rnn_ops_op_lib.lo;/WHOLEARCHIVE:core/kernels/libbarrier_ops.lo;/WHOLEARCHIVE:core/kernels/libconditional_accumulator_base_op.lo;/WHOLEARCHIVE:core/kernels/libconditional_accumulator_op.lo;/WHOLEARCHIVE:core/kernels/libdynamic_partition_op.lo;/WHOLEARCHIVE:core/kernels/libdynamic_partition_op_gpu.lo;/WHOLEARCHIVE:core/kernels/libdynamic_stitch_op.lo;/WHOLEARCHIVE:core/kernels/libdynamic_stitch_op_gpu.lo;/WHOLEARCHIVE:core/kernels/libfifo_queue_op.lo;/WHOLEARCHIVE:core/kernels/libmap_stage_op.lo;/WHOLEARCHIVE:core/kernels/libpadding_fifo_queue_op.lo;/WHOLEARCHIVE:core/kernels/libpriority_queue_op.lo;"

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

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مرتكز على

bazel-tensorflow\bazel-out\x64_windows-opt\bin\tensorflow
bazel-tensorflow\bazel-out\x64_windows-opt\bin\external كمسارات بحث

هذا قادم من المعلومات الموجودة في

libtensorflow_cc.so-2.params و libtensorflow_framework.so-2.params

samhodge في ٢٠ يونيو ٢٠٢٠

يصبح كل شيء علبة من الديدان باستخدام ملف .vcxproj لإعداد هذا.

يتم تشغيل عدد الأحرف المسموح به مرارًا وتكرارًا ، مع حد أقصى لعدد الأحرف يبلغ 65 ألفًا ، ستصبح محشوًا في كل منعطف. يحتوي تاريخ نظام التشغيل Windows 16 بت على الكثير للإجابة عنه.

samhodge في ٢٠ يونيو ٢٠٢٠

ربما إذا قمت فقط بإضافة ملفات .obj لملفات .pb.cc مباشرةً ، فسيؤدي ذلك إلى معالجة الرموز المفقودة.

samhodge في ٢٠ يونيو ٢٠٢٠

تضمين التغريدة

ببساطة إضافة

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

الكائنات التي يتم ربطها تنتقل من 34 رمزًا مفقودًا إلى 164 رمزًا مفقودًا.

أحتاج حقًا إلى دليل خبير حول كيفية تشغيل كود C ++ التالي في نظام التشغيل Windows 10

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

int main() {
    tensorflow::GPUOptions gpu_options;

    gpu_options.set_visible_device_list("0");

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

    gpu_options.set_allocator_type("7");

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


    gpu_options.set_visible_device_list("5");

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

    gpu_options.set_allocator_type("3");

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


}

وصولاً إلى نظام التشغيل ، والمترجم ، وإصدار bazel ، وإصدار CUDA ، وما إلى ذلك.

المشكلة ليست معزولة عن r1.12 أو r2.2 إنها نظامية لكيفية عمل protobuf مع الربط على Windows.

ليس لدينا حل للربط الثابت ، ولكن هذا مطلب لتشغيل الكود أعلاه بشكل صحيح.

لا يعمل الحل المخترق الخاص بي خارج إصدار برنامج التشغيل البسيط ، والذي يقل MSVC 2019 r2.2

كان يعتمد على إضافة المدخلات إلى الهدف tensorflow_cc.dll ضمن r2.2 كتسجيل البرنامج النصي للربط .params ملف

وبالتالي ، فإن استخدام المدخلات لـ libtensorflow_cc.so تحت r1.12 يجب أن تعمل بنفس الطريقة ، لكنها لا تعمل ، ترك الرموز المفقودة للملفات المجمعة القائمة على .proto .

أنا غير متأكد من سبب هذا السلوك.

samhodge في ٢٠ يونيو ٢٠٢٠

كمثال إذا كان الملف core / platform / windows / port.cc يحتوي على رموز المنفذ :: InitMain كيف يمكنني العثور على الأداة التي تحتوي على رموز الإصدار المترجم من هذا الرمز؟

هذا أحد الرموز المفقودة التي كانت موجودة في القائمة ، عند الربط ديناميكيًا.

لذلك إذا كانت المدخلات إلى .dll موجودة عند الربط بشكل ثابت. لماذا هذا الرمز مفقود؟

ربما إذا كان بإمكاني حل هذا الأمر ، يمكنني تطبيق منطق مماثل للرموز المفقودة البالغ عددها 33 رمزًا

سام

samhodge في ٢٠ يونيو ٢٠٢٠

حسنًا ، لقد تابعت هذا باستخدام ملف grep متكرر عبر ملفات .params التي تبحث عن port.o من ملف core/platform/windows/port.cc وتم تجميعها أولاً في libframework_internal_impl.lo و liblib_internal_impl.a ثم أي example.obj مرتبط مقابل كلاهما لكسب .dll

لذا يجب أن تكون الرموز هناك مرتين!

أحد الأشياء المثيرة للفضول لدي هو /DEFAULTLIB:msvrt.lib مقابل /DEFAULTLIB:libcmt.lib

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

example.obj الذي سيجني example.dll عند ربطه بجميع رموز TF والأشياء الرائعة الأخرى (tm). يستخدم /DEFAULTLIB:libcmt.lib بينما تم صنع tensorflow_cc.dll باستخدام /DEFAULTLIB:msvc

samhodge في ٢١ يونيو ٢٠٢٠

libtensorflow_cc.so-2.params.zip
حسنًا ، لقد تابعت هذا باستخدام ملف grep متكرر عبر ملفات .params التي تبحث عن port.o من ملف core/platform/windows/port.cc وتم تجميعها أولاً في libframework_internal_impl.lo و liblib_internal_impl.a ثم أي example.obj مرتبط مقابل كلاهما لكسب .dll

لذا يجب أن تكون الرموز هناك مرتين!

أحد الأشياء المثيرة للفضول لدي هو /DEFAULTLIB:msvrt.lib مقابل /DEFAULTLIB:libcmt.lib

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

example.obj الذي سيجني example.dll عند ربطه بجميع رموز TF والأشياء الرائعة الأخرى (tm). يستخدم /DEFAULTLIB:libcmt.lib بينما tensorflow_cc.dll تم صنعه باستخدام /DEFAULTLIB:msvcrt.lib لا أعتقد أن هذا هو سبب كل متاعب.

ولكن إذا كنا في موقف يتضمن تضمين رموز protobuf أكثر من مرة ، فإن حقيقة أن libtensorflow_cc.so يتضمن port.cc عبر libframework_internal_impl.lo وعبر liblib_internal_impl.a أعلم أن port.cc ليس ملف .proto ولكن إذا كان يحدث مع بعض الملفات المصدر فقد يحدث مع الآخرين.

هذا قبل أن أبدأ القرصنة.

انظر الملف المرفق ، libtensorflow_cc.so-2.params.zip

samhodge في ٢١ يونيو ٢٠٢٠

تضمين التغريدة _

لقد أنشأنا شيئين

قد يؤدي تضمين نفس الرموز مرتين عند الربط إلى سلوك غير متوقع

يتضمن Tensorflow نفس ملف port.o بنفس الرموز مرتين على الأقل

هل يمكننا التأكد من أن المدخلات في هدف بازيل لها تمثيل بياني لا دوري موجه؟

يبدو أن أسلوبي في الحصول على مجموعة الاتحاد لجميع ملفات الكائنات تحت Linux و MacOS يحقق هذه النتيجة

لكننا سنواجه ملفًا أكبر من 2 جيجا بايت حتى لا نقول شيئًا عن تغذية الوسائط عبر قوائم أصغر من 65 كيلو بايت

كيف يمكننا السير للأمام؟

سام

samhodge في ٢٢ يونيو ٢٠٢٠

يؤدي تضمين نفس الرمز مرتين إلى ODR ( قاعدة تعريف واحدة ) وهذا يعني UB / عرضة للأخطاء.

لدينا العديد من انتهاكات تسوية المنازعات بالاتصال الحاسوبي المباشر في تمويل الإرهاب ، نحتاج إلى تحديدها وإصلاحها. نشكرك على اكتشاف أن السبب وراء ذلك هو port.o !

mihaimaruseac في ٢٢ يونيو ٢٠٢٠

أعتقد أن الاستنتاج التالي سيكون العثور على حجم الاتحاد لجميع ملفات الكائنات المطلوبة عن طريق البحث المتكرر لملفات .params ثم عمل إستراتيجية ربط مع تعقيد أقل من مضروب n والتي كانت محاولتي الأخيرة التي فشلت بعد ست ساعات. خارج

ثم تحقق مما إذا كان الرابط النهائي أقل من 2 جيجابايت

أعتقد أن هذه نتيجة ثنائية قابلة للاختبار ، حيث سيكون حجم الملف أكبر أو أقل من 2 جيجابايت

سام

samhodge في ٢٢ يونيو ٢٠٢٠

آسف لربما سؤال غبي ، لكن ما الحل البديل هو السؤال "الأخير"؟
لدي مشكلات في وضع الجهاز على Windows في C ++ (لا يمكن بشكل أساسي وضع أي شيء على وحدة معالجة رسومات معينة بشكل موثوق ، إذا كان العديد منهم قادرًا على تشغيل Tensorflow) ، والتي حاولت حلها باستخدام options.config.mutable_gpu_options()->set_visible_device_list("0"); للعمل مع GPU 0.

ومع ذلك ، يؤدي هذا إلى تعطل: 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

اعتقدت أن هذا الخطأ قد يكون له علاقة بما تم وصفه في سلسلة الرسائل هذه ، نظرًا لأن مؤشرات visible_device_list ومثال ذلك allocator_type متطابقة أيضًا ، مما يؤدي على الأرجح إلى أخطاء التحليل لاحقًا. .

أي طريقة للتنقل حول هذا موضع تقدير!