can be used to return the required amount of memory in forward convolution. I tried using it as follows with cuDNN v7.6.0.
size_t workspace_bytes; CHECK_CUDNN(cudnnGetConvolutionForwardWorkspaceSize( cudnnHandle, inputTensor, kernel, convolutionDescriptor, outputTensor, convolutionAlgorithm, &workspace_bytes)); std::cout << "The required size for performing the convolution is:\t" << ((workspace_bytes * 1.0) / (1024 * 1024)) << " MB" << std::endl;
However, the returned value is zero. CHECK_CUDNN is a macro that I wrote to ensure there is no CUDA error. Interestingly, the computation result is correct even though this function returns zero for the required memory. Any insight on why the returned value is zero is highly appreciated.