标签:多线程 参考 bash python export 高性能 测试 显卡 prot
Problem with greentea
Github-caffe-opencl
TestSharedWeightsUpdate Test Failed
opencl-caffe github page
amd opencl-zone
Setup clBLAS and OpenCL
# Override BLAS, use clBLAS insead of ViennaclBLAS.
USE_CLBLAS := 1
# Custom clBLAS lib and include directories.
CLBLAS_INCLUDE := /usr/local/include
CLBLAS_LIB := /usr/local/lib64
...
# CUDA directory contains bin/ and lib/ directories that we need.
# CUDA_DIR := /usr/local/cuda
# On Ubuntu 14.04, if cuda tools are installed via
# "sudo apt-get install nvidia-cuda-toolkit" then use this instead:
CUDA_DIR := /usr
That‘s ok, it‘s not actually a fail, the epsilon-distance between "is" and "should" is just a bit bigger than the test setting appreciates.
- 这只是计算误差而已,没有问题!
cd ./caffe-opencl
data/mnist/get_mnist.sh
examples/mnist/create_mnist.sh
examples/mnist/train_lenet.sh
标签:多线程 参考 bash python export 高性能 测试 显卡 prot
原文地址:https://www.cnblogs.com/lizhensheng/p/11183667.html