cudnn_cnn_infer.h中定义的conv模式如下 typedef enum { CUDNN_CONVOLUTION = 0, CUDNN_CROSS_CORRELATION = 1 } cudnnConvolutionMode_t; 4、cudnnTransformNCHWtype 定义是否需要transform 5、设置各个执行参数 while(argc){...argc--;...} 6、transform格式转换 doTest cudnnHandle_t: 定义cudnn操作句柄 ...
mode可以选取CUDNN_CONVOLUTION或CUDNN_CROSS_CORRELATION,具体解释可见这篇文章; // create conv descriptor cudnnConvolutionDescriptor_t convolution_descriptor; checkCUDNN(cudnnCreateConvolutionDescriptor(&convolution_descriptor)); checkCUDNN(cudnnSetConvolution2dDescriptor(convolution_descriptor, /*pad_height=*/...
Convolution forward and backward, including cross-correlation Matrix multiplication Pooling forward and backward Softmax forward and backward Neuron activations forward and backward: relu, tanh, sigmoid, elu, gelu, softplus, swish Arithmetic, mathematical, relational and logical pointwise operations Tensor tr...
NVIDIA cuDNN provides highly tuned implementations of operations arising frequently in DNN applications: Convolution forward and backward, including cross-correlation Matrix multiplication Pooling forward and backward Softmax forward and backward Neuron activations forward and backward:relu,tanh,sigmoid,elu,gelu...
/*mode=*/CUDNN_CROSS_CORRELATION,// CUDNN_CONVOLUTION /*computeType=*/CUDNN_DATA_FLOAT)); // 计算卷积后图像的维数 intbatch_size{0},channels{0},height{0},width{0}; checkCUDNN(cudnnGetConvolution2dForwardOutputDim(convolution_descriptor, ...
/*mode=*/CUDNN_CROSS_CORRELATION, // CUDNN_CONVOLUTION /*computeType=*/CUDNN_DATA_FLOAT)); // 计算卷积后图像的维数 int batch_size{ 0 }, channels{ 0 }, height{ 0 }, width{ 0 }; checkCUDNN(cudnnGetConvolution2dForwardOutputDim(convolution_descriptor, ...
cudnnConvolutionBwdFilterAlgoPerf_t bf_results[2 * CUDNN_CONVOLUTION_BWD_FILTER_ALGO_COUNT];cudnnFindConvolutionForwardAlgorithm(cudnn_handle(),l->srcTensorDesc,l->weightDesc,l->convDesc,l->dstTensorDesc,CUDNN_CONVOLUTION_FWD_ALGO_COUNT,...
dataType<Dtype>::type));#elseCUDNN_CHECK(cudnnSetConvolution2dDescriptor(*conv, pad_h, pad_w, stride_h, stride_w,1,1, CUDNN_CROSS_CORRELATION));#endif} 开发者ID:fengbingchun,项目名称:Caffe_Test,代码行数:12,代码来源:cudnn.hpp ...
/*mode=*/CUDNN_CROSS_CORRELATION,// CUDNN_CONVOLUTION/*computeType=*/CUDNN_DATA_FLOAT));// 计算卷积后图像的维数intbatch_size{0},channels{0},height{0},width{0};checkCUDNN(cudnnGetConvolution2dForwardOutputDim(convolution_descriptor,input_descriptor,kernel_descriptor,&batch_size,&channels,&...
We already have three cache variables cudnnConvolutionFwdAlgoPerfCache, cudnnConvolutionBwdDataAlgoPerfCache, and cudnnConvolutionBwdFilterAlgoPerfCache. Conceptually, they map from a tuple of descriptors (basically structs describing the convolution parameters, weight tensor, and data tensor) to performan...