| | |
| | | cudnnSetTensor4dDescriptor(l->srcTensorDesc, CUDNN_TENSOR_NCHW, data_type, l->batch, l->c, l->h, l->w); |
| | | cudnnSetTensor4dDescriptor(l->dstTensorDesc, CUDNN_TENSOR_NCHW, data_type, l->batch, l->out_c, l->out_h, l->out_w); |
| | | cudnnSetFilter4dDescriptor(l->weightDesc, data_type, CUDNN_TENSOR_NCHW, l->n, l->c, l->size, l->size); |
| | | |
| | | // batch norm |
| | | cudnnSetTensor4dDescriptor(l->normTensorDesc, CUDNN_TENSOR_NCHW, CUDNN_DATA_FLOAT, 1, l->out_c, 1, 1); |
| | | #if(CUDNN_MAJOR >= 6) |
| | | cudnnSetConvolution2dDescriptor(l->convDesc, l->pad, l->pad, l->stride, l->stride, 1, 1, CUDNN_CROSS_CORRELATION, CUDNN_DATA_FLOAT); // cudnn >= 6.0 |
| | | #else |
| | |
| | | |
| | | l.weights_gpu = cuda_make_array(l.weights, c*n*size*size); |
| | | #ifdef CUDNN_HALF |
| | | l.weights_gpu16 = cuda_make_array(l.weights, c*n*size*size / 2); |
| | | l.weight_updates_gpu16 = cuda_make_array(l.weight_updates, c*n*size*size / 2); |
| | | l.weights_gpu16 = cuda_make_array(NULL, c*n*size*size / 2); //cuda_make_array(l.weights, c*n*size*size / 2); |
| | | l.weight_updates_gpu16 = cuda_make_array(NULL, c*n*size*size / 2); //cuda_make_array(l.weight_updates, c*n*size*size / 2); |
| | | #endif |
| | | l.weight_updates_gpu = cuda_make_array(l.weight_updates, c*n*size*size); |
| | | |
| | |
| | | l.x_norm_gpu = cuda_make_array(l.output, l.batch*out_h*out_w*n); |
| | | } |
| | | #ifdef CUDNN |
| | | cudnnCreateTensorDescriptor(&l.normTensorDesc); |
| | | cudnnCreateTensorDescriptor(&l.srcTensorDesc); |
| | | cudnnCreateTensorDescriptor(&l.dstTensorDesc); |
| | | cudnnCreateFilterDescriptor(&l.weightDesc); |