当我在群集上成功安装tensorflow时,我立即运行mnist demo来检查它是否顺利,但在这里我想出了一个问题.我不知道这是什么,但看起来错误来自CUDA
python3 -m tensorflow.models.image.mnist.convolutional
I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcublas.so locally
I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcudnn.so locally
I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcufft.so locally
I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcuda.so locally
I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcurand.so locally
Extracting data/train-images-idx3-ubyte.gz
Extracting data/train-labels-idx1-ubyte.gz
Extracting data/t10k-images-idx3-ubyte.gz
Extracting data/t10k-labels-idx1-ubyte.gz
I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:924] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
I …当我成功'cmake ...'caffe build时,我先用'make all'命令,但在下面发现了一个错误.我不知道NVCC或gcc是否有问题.
[ 1%] Built target proto
[ 1%] Building NVCC (Device) object src/caffe/CMakeFiles/cuda_compile.dir/layers/cuda_compile_generated_split_layer.cu.o
/usr/bin/ccache: invalid option -- 'E'
Usage:
ccache [options]
ccache compiler [compiler options]
compiler [compiler options] (via symbolic link)
Options:
-c, --cleanup delete old files and recalculate size counters
(normally not needed as this is done automatically)
-C, --clear clear the cache completely
-F, --max-files=N set maximum number of files in cache to N (use 0 for
no limit)
-M, --max-size=SIZE set maximum size of …