Tensorflow r1.12及tensorflow serving r1.12 GPU版本编译遇到的问题

1、git clone tensorflow serving 及tensorflow代码

2、

ERROR: /root/.cache/bazel/_bazel_root/f71d782da17fd83c84ed6253a342a306/external/local_config_cuda/crosstool/BUILD:::

 Traceback (most recent call last):

        File "/root/.cache/bazel/_bazel_root/f71d782da17fd83c84ed6253a342a306/external/local_config_cuda/crosstool/BUILD", line

                error_gpu_disabled()

        File "/root/.cache/bazel/_bazel_root/f71d782da17fd83c84ed6253a342a306/external/local_config_cuda/crosstool/error_gpu_disabled.bzl", line , in error_gpu_disabled

                fail("ERROR: Building with --config=c...")

ERROR: Building with --config=cuda but TensorFlow is not configured to build with GPU support. Please re-run ./configure and enter 'Y' at the prompt to build with GPU support.

ERROR: no such target '@local_config_cuda//crosstool:toolchain': target 'toolchain' not declared in package 'crosstool

' defined by /root/.cache/bazel/_bazel_root/f71d782da17fd83c84ed6253a342a306/external/local_config_cuda/crosstool/BUILD

INFO: Elapsed time: .093s

INFO:  processes.

FAILED: Build did NOT complete successfully ( packages loaded)

解决办法：

export TF_NEED_CUDA=""

3、看起来./configure配置全部不能生效，因此需要自己配置变量指引cuda、cudnn、nccl等所有的非默认路径

解决办法：通过变量设置

export PATH=$PATH:/env/bazel-0.15./bin

export TF_NEED_CUDA=""

export CUDNN_INSTALL_PATH="/usr/local/cudnn7.3_cuda9.0"

export CUDA_INSTALL_PATH="/usr/local/cuda-9.0"

export TF_CUDA_VERSION="9.0"

export TF_CUDNN_VERSION=""

export TF_NCCL_VERSION="2.2"

export NCCL_INSTALL_PATH="/env/nccl_2.2.13-1+cuda9.0_x86_64"

export TEST_TMPDIR=/home

4、遇到nvcc检测cuda版本与设置不一致的问题。

ERROR: no such package '@local_config_cuda//crosstool': Traceback (most recent call last):

        File "/search/odin/zhangliang/_bazel_root/f71d782da17fd83c84ed6253a342a306/external/org_tensorflow/third_party

/gpus/cuda_configure.bzl", line 1447

                _create_local_cuda_repository(repository_ctx)

        File "/search/odin/zhangliang/_bazel_root/f71d782da17fd83c84ed6253a342a306/external/org_tensorflow/third_party/gpus/cuda_configure.bzl", line , in _create_local_cuda_repository

                _get_cuda_config(repository_ctx)

        File "/search/odin/zhangliang/_bazel_root/f71d782da17fd83c84ed6253a342a306/external/org_tensorflow/third_party/gpus/cuda_configure.bzl", line , in _get_cuda_config

                _cuda_version(repository_ctx, cuda_toolkit_path, c...)

        File "/search/odin/zhangliang/_bazel_root/f71d782da17fd83c84ed6253a342a306/external/org_tensorflow/third_party/gpus/cuda_configure.bzl", line , in _cuda_version

                auto_configure_fail(("CUDA version detected from nvc...)))

        File "/search/odin/zhangliang/_bazel_root/f71d782da17fd83c84ed6253a342a306/external/org_tensorflow/third_party/gpus/cuda_configure.bzl", line , in auto_configure_fail

                fail(("\n%sCuda Configuration Error:%...)))

Cuda Configuration Error: CUDA version detected from nvcc (8.0.) does not match TF_CUDA_VERSION (9.0)

INFO: Elapsed time: .785s

INFO:  processes.

FAILED: Build did NOT complete successfully ( packages loaded)

解决办法，修改cuda toolkit的地址：

export CUDA_TOOLKIT_PATH="/usr/local/cuda-9.0"

5、

ERROR: no such package '@local_config_cc//': Traceback (most recent call last):

        File "/search/odin/zhangliang/_bazel_root/f71d782da17fd83c84ed6253a342a306/external/bazel_tools/tools/cpp/cc_configure.bzl", line

                configure_unix_toolchain(repository_ctx, cpu_value, overriden...)

        File "/search/odin/zhangliang/_bazel_root/f71d782da17fd83c84ed6253a342a306/external/bazel_tools/tools/cpp/unix_cc_configure.bzl", line , in configure_unix_toolchain

                _find_generic(repository_ctx, "gcc", "CC", overriden...)

        File "/search/odin/zhangliang/_bazel_root/f71d782da17fd83c84ed6253a342a306/external/bazel_tools/tools/cpp/unix_cc_configure.bzl", line , in _find_generic

                auto_configure_fail(msg)

        File "/search/odin/zhangliang/_bazel_root/f71d782da17fd83c84ed6253a342a306/external/bazel_tools/tools/cpp/lib_cc_configure.bzl", line , in auto_configure_fail

                fail(("\n%sAuto-Configuration Error:%...)))

Auto-Configuration Error: Cannot find gcc or CC (gcc -std=gnu99); either correct your path or set the CC environment variable

ERROR: Analysis of target '//tensorflow_serving/model_servers:tensorflow_model_server' failed; build aborted: no such

package '@local_config_cc//': Traceback (most recent call last):

        File "/search/odin/zhangliang/_bazel_root/f71d782da17fd83c84ed6253a342a306/external/bazel_tools/tools/cpp/cc_configure.bzl", line

                configure_unix_toolchain(repository_ctx, cpu_value, overriden...)

        File "/search/odin/zhangliang/_bazel_root/f71d782da17fd83c84ed6253a342a306/external/bazel_tools/tools/cpp/unix_cc_configure.bzl", line , in configure_unix_toolchain

                _find_generic(repository_ctx, "gcc", "CC", overriden...)

        File "/search/odin/zhangliang/_bazel_root/f71d782da17fd83c84ed6253a342a306/external/bazel_tools/tools/cpp/unix_cc_configure.bzl", line , in _find_generic

                auto_configure_fail(msg)

        File "/search/odin/zhangliang/_bazel_root/f71d782da17fd83c84ed6253a342a306/external/bazel_tools/tools/cpp/lib_cc_configure.bzl", line , in auto_configure_fail

                fail(("\n%sAuto-Configuration Error:%...)))

Auto-Configuration Error: Cannot find gcc or CC (gcc -std=gnu99); either correct your path or set the CC environment variable

INFO: Elapsed time: .579s

INFO:  processes.

FAILED: Build did NOT complete successfully ( packages loaded)

解决办法：

CC=/usr/bin/gcc

6、

ERROR: /search/odin/zhangliang/code/serving-1.14/serving/tensorflow_serving/model_servers/BUILD::: Linking of rule

 '//tensorflow_serving/model_servers:tensorflow_model_server' failed (Exit )

/usr/bin/ld: bazel-out/k8-opt/bin/tensorflow_serving/model_servers/_objs/tensorflow_model_server/tensorflow_serving/mo

del_servers/version.o: relocation R_X86_64_32 against `.rodata' can not be used when making a shared object; recompile with -fPIC

bazel-out/k8-opt/bin/tensorflow_serving/model_servers/_objs/tensorflow_model_server/tensorflow_serving/model_servers/version.o: could not read symbols: Bad value

collect2: error: ld returned  exit status

Target //tensorflow_serving/model_servers:tensorflow_model_server failed to build

Use --verbose_failures to see the command lines of failed build steps.

INFO: Elapsed time: .810s, Critical Path: .33s

INFO:  processes:  local.

FAILED: Build did NOT complete successfully

解决办法：

编译tensorflow_model_server_main_lib时出错，查看了一下，发现是linkstamp “version.cc”时出错，提示应该加-fPIC。

简单的绕过办法：

BUILD

cc_library(

    name = "tensorflow_model_server_main_lib",

    srcs = [

        "main.cc",

    ],

    #hdrs = [

    #    "version.h",

    #],

    #linkstamp = "version.cc",

    visibility = [

        ":tensorflow_model_server_custom_op_clients",

        "//tensorflow_serving:internal",

    ],

    deps = [

        ":server_lib",

        "@org_tensorflow//tensorflow/c:c_api",

        "@org_tensorflow//tensorflow/core:lib",

        "@org_tensorflow//tensorflow/core/platform/cloud:gcs_file_system",

        "@org_tensorflow//tensorflow/core/platform/hadoop:hadoop_file_system",

        "@org_tensorflow//tensorflow/core/platform/s3:s3_file_system",

    ],

)

main.cc

//#include "tensorflow_serving/model_servers/version.h"

...

if (display_version) {

    std::cout << "TensorFlow ModelServer: " << "r1.12" << "\n"

              << "TensorFlow Library: " << TF_Version() << "\n";

    return ;

  }

巴特西

Tensorflow r1.12及tensorflow serving r1.12 GPU版本编译遇到的问题

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