最大可能性是来自原子操作。多个线程把结果累计到一个地址上是gemm的常见需求，如果用原子操作实现会比较...
CUDNN_CONVOLUTION_BWD_DATA_ALGO_1 CUDNN_CONVOLUTION_BWD_DATA_ALGO_WINOGRAD_NONFUSED cudnnConvolutionBackwardFilter CUDNN_CONVOLUTION_BWD_FILTER_ALGO_1 CUDNN_CONVOLUTION_BWD_FILTER_ALGO_WINOGRAD_NONFUSED Data and Filter Formats The cuDNN library may use padding, folding, and NCHW-to-NHWC transforma...
使用algo = CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM或CUDNN_CONVOLUTION_FWD_ALGO_WINOGRAD_NONFUSED调用cudnnConvolutionForward; 使用算法cudnnConvolutionBackwardData = CUDNN_CONVOLUTION_BWD_DATA_ALGO_1或CUDNN_CONVOLUTION_BWD_DATA_ALGO_WINOGRAD_NONFUSED; 和cudnnConvolutionBackwardFilter使用algo = ...
cudnnConvolutionBwdFilterAlgoPerf_t is a structure containing performance results returned by cudnnFindConvolutionBackwardFilterAlgorithm() or heuristic results returned by cudnnGetConvolutionBackwardFilterAlgorithm_v7(). Data Members cudnnConvolutionBwdFilterAlgo_t algo The algorithm runs to obtain the asso...
CUDNN_CONVOLUTION_BWD_FILTER_ALGO_COUNT,&returnedAlgoCount,bf_results);for(int algoIndex = 0; algoIndex < returnedAlgoCount; ++algoIndex){#if PRINT_CUDNN_ALGO > 0printf("^^^ %s for Algo %d: %f time requiring %llu memory\n",cudnnGetErrorString(bf_results[algoIndex].status),bf...
NVIDIA cuDNN RN-08667-001_v07 发布说明说明书 Release Notes
Some of of cuDNN's algorithms are non-deterministic, even with the seed set to X, for example typedef enum { CUDNN_CONVOLUTION_BWD_FILTER_ALGO_0 = 0, // non-deterministic CUDNN_CONVOLUTION_BWD_FILTER_ALGO_3 = 3, // non-deterministic, alg...
for (size_t i = 0; i < bottom.size(); ++i) { // initialize all to default algorithms fwd_algo_[i] = (cudnnConvolutionFwdAlgo_t)0; bwd_filter_algo_[i] = (cudnnConvolutionBwdFilterAlgo_t)0; bwd_data_algo_[i] = (cudnnConvolutionBwdDataAlgo_t)0; ...
cudnnSetFilterNdDescriptor(cudnnFdesc, dataType, filterFormat, convDim + 2, filterdimA_padded) 设置卷积算法 cudnnConvolutionFwdAlgo_talgo=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM; 计算卷积需要的workspace大小 checkCudnnErr(cudnnGetConvolutionForwardWorkspaceSize( ...
'CUDNN_CONVOLUTION_BWD_FILTER_ALGO_WINOGRAD_NONFUSED (5)'), ('dwDesc.dataType', 'CUDNN_DATA_FLOAT (0)'), ('dwDesc.dimA', '[256,256,3,3]'), ('dwDesc.format', 'CUDNN_TENSOR_NCHW (0)')]) --- v7 cudnnConvolutionBackwardFilter...