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:4:1:
 Traceback (most recent call last):
        File "/root/.cache/bazel/_bazel_root/f71d782da17fd83c84ed6253a342a306/external/local_config_cuda/crosstool/BUILD", line 4
                error_gpu_disabled()
        File "/root/.cache/bazel/_bazel_root/f71d782da17fd83c84ed6253a342a306/external/local_config_cuda/crosstool/error_gpu_disabled.bzl", line 3, 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: 0.093s
INFO: 0 processes.
FAILED: Build did NOT complete successfully (0 packages loaded)

解决办法:

export TF_NEED_CUDA="1"

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-0.15.0/bin
export TF_NEED_CUDA="1"
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="7"
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 1187, 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 909, 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 492, 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 317, in auto_configure_fail
                fail(("\n%sCuda Configuration Error:%...)))

Cuda Configuration Error: CUDA version detected from nvcc (8.0.61) does not match TF_CUDA_VERSION (9.0)
INFO: Elapsed time: 0.785s
INFO: 0 processes.
FAILED: Build did NOT complete successfully (1 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 56
                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 477, 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 459, in _find_generic
                auto_configure_fail(msg)
        File "/search/odin/zhangliang/_bazel_root/f71d782da17fd83c84ed6253a342a306/external/bazel_tools/tools/cpp/lib_cc_configure.bzl", line 109, 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 56
                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 477, 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 459, in _find_generic
                auto_configure_fail(msg)
        File "/search/odin/zhangliang/_bazel_root/f71d782da17fd83c84ed6253a342a306/external/bazel_tools/tools/cpp/lib_cc_configure.bzl", line 109, 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: 2.579s
INFO: 0 processes.
FAILED: Build did NOT complete successfully (4 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:356:1: Linking of rule
 '//tensorflow_serving/model_servers:tensorflow_model_server' failed (Exit 1)
/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 1 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: 697.810s, Critical Path: 331.33s
INFO: 3321 processes: 3321 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 0;
  }

 

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posted @ 2019-09-05 12:08  鸭子船长  阅读(1332)  评论(0编辑  收藏  举报