应用错误收集

我正在遵循this link来编译具有GPU支持的Tensorflow。在./configure之后，我输入bazel build --config=opt --config=cuda //tensorflow/tools/pip_package:build_pip_package。在编译过程中，我看到以下错误。

ERROR: /home/super/.cache/bazel/_bazel_super/6fad3aac5da8510114d7933cea773172/external/nccl_archive/BUILD.bazel:139:1: Executing genrule @nccl_archive//:device_code_fatbin_h failed (Exit 1)
/bin/bash: CUDA_TOOLKIT_PATH: unbound variable
Target //tensorflow/tools/pip_package:build_pip_package failed to build
Use --verbose_failures to see the command lines of failed build steps.
INFO: Elapsed time: 0.973s, Critical Path: 0.12s
INFO: 4 processes: 4 local.
FAILED: Build did NOT complete successfully

我检查了.tf_configure.bazelrc文件，并定义了CUDA_TOOLKIT_PATH。

build --action_env PYTHON_BIN_PATH="/home/super/anaconda3/envs/tf/bin/python"
build --action_env PYTHON_LIB_PATH="/home/super/anaconda3/envs/tf/lib/python3.6/site-packages"
build --python_path="/home/super/anaconda3/envs/tf/bin/python"
build:xla --define with_xla_support=true
build --config=xla
build --action_env TF_NEED_OPENCL_SYCL="0"
build --action_env TF_NEED_ROCM="0"
build --action_env TF_NEED_CUDA="1"
build --action_env CUDA_TOOLKIT_PATH="/usr/local/cuda"
build --action_env TF_CUDA_VERSION="10.0"
build --action_env CUDNN_INSTALL_PATH="/usr/local/cuda-10.0"
build --action_env TF_CUDNN_VERSION="7"
build --action_env TF_NCCL_VERSION=""
build --action_env TF_CUDA_COMPUTE_CAPABILITIES="5.2"
build --action_env LD_LIBRARY_PATH="/usr/local/cuda-10.0/lib64"
build --action_env TF_CUDA_CLANG="0"
build --action_env GCC_HOST_COMPILER_PATH="/usr/bin/gcc"
build --config=cuda
test --config=cuda
build:opt --copt=-march=native
build:opt --copt=-Wno-sign-compare
build:opt --host_copt=-march=native
build:opt --define with_default_optimizations=true
build:v2 --define=tf_api_version=2

我的.bashrc具有以下内容。

export PATH=/usr/local/cuda-10.0/bin${PATH:+:${PATH}}
export LD_LIBRARY_PATH=/usr/local/cuda-10.0/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}
export CUDA_HOME=/usr/loca/cuda
export CUDA_TOOLKIT_PATH=/usr/local/cuda

我的环境设置如下。

巴兹尔0.18.0
CUDA 10.0
cuDNN 7.3.1
Ubuntu 16.04

有什么想法吗？

使用GPU支持编译Tensorflow时，遇到CUDA_TOOLKIT_PATH未绑定变量

1 个答案: