在 Jetson Xavier 上构建 Tensorflow 未能找到 CUDA

编程问答 2022-05-02

问题描述

我正在尝试在 docker 映像中为 Xavier 编译 tensorflow 2.3 C API。我使用 this 作为基本 docker 映像，它似乎安装了正确版本的 CUDA，但构建失败并显示以下消息：

ERROR: no such package '@local_config_cuda//cuda': Traceback (most recent call last):
#9 51.98    File "/tensorflow/third_party/gpus/cuda_configure.bzl",line 1369
#9 51.98        _create_local_cuda_repository(<1 more arguments>)
#9 51.98    File "/tensorflow/third_party/gpus/cuda_configure.bzl",line 955,in _create_local_cuda_repository
#9 51.98        _get_cuda_config(repository_ctx,<1 more arguments>)
#9 51.98    File "/tensorflow/third_party/gpus/cuda_configure.bzl",line 657,in _get_cuda_config
#9 51.98        find_cuda_config(repository_ctx,<2 more arguments>)
#9 51.98    File "/tensorflow/third_party/gpus/cuda_configure.bzl",line 635,in find_cuda_config
#9 51.98        _exec_find_cuda_config(<3 more arguments>)
#9 51.98    File "/tensorflow/third_party/gpus/cuda_configure.bzl",line 629,in _exec_find_cuda_config
#9 51.98        execute(repository_ctx,<1 more arguments>)
#9 51.98    File "/tensorflow/third_party/remote_config/common.bzl",line 208,in execute
#9 51.98        fail(<1 more arguments>)
#9 51.98 Repository command Failed
#9 51.98 Could not find any libcudart.so.10* in any subdirectory:
#9 51.98         ''
#9 51.98         'lib64'
#9 51.98         'lib'
#9 51.98         'lib/*-linux-gnu'
#9 51.98         'lib/x64'
#9 51.98         'extras/CUPTI/*'
#9 51.98 of:
#9 51.98         '/usr/local/cuda-10.2'

以下是我的 Dockerfile 的相关部分以供参考：

FROM nvcr.io/nvidia/l4t-base:r32.5.0

# ... setup bazel etc

# Tensorflow
ENV TF_NEED_CUDA=1 \
    GCC_HOST_COMPILER_PATH=/usr/bin/gcc \
    TF_CUDA_VERSION=10.2 \
    CUDA_TOOLKIT_PATH=/usr/local/cuda-10.2 \
    TF_CUDNN_VERSION=8 \
    CUDNN_INSTALL_PATH=/usr/local/cuda-10.2 \
    TF_CUDA_COmpuTE_CAPABILITIES=7.2,7.5 \
    CC_OPT_FLAGS="--copt=-mavx --copt=-mavx2 --copt=-mfma --copt=-msse4.2 --copt=-mfpmath=both --config=cuda" \
    PYTHON_BIN_PATH="/usr/bin/python" \
    USE_DEFAULT_PYTHON_LIB_PATH=1 \
    TF_NEED_JEMALLOC=1 \
    TF_NEED_GCP=0 \
    TF_NEED_HDFS=0 \
    TF_ENABLE_XLA=0 \
    TF_NEED_OPENCL=0

RUN cd / && git clone https://github.com/tensorflow/tensorflow

# The bazel build in the next line fails
RUN cd /tensorflow && git checkout r2.3 && bazel build -c opt //tensorflow/tools/lib_package:libtensorflow

我是否缺少一些编译选项，或者我是否必须执行一些额外的步骤才能正确设置 CUDA？

解决方法

使用 CUDA 为 64 位 ARM 构建 Tensorflow 2.3 似乎是不可能的。 Tensorflow 2.3 需要 CUDA 10.2，但 ARM 直到 11 版 [1] 才支持 CUDA 工具包，Tensorflow 2.4 版之前不支持 CUDA 11 [1]。

[1] https://developer.nvidia.com/cuda-toolkit/arm

[2] https://www.tensorflow.org/install/gpu

dockerdockerjetson-xaviertensorflowtensorflowtensorflow