support NVIDIA A100 using CUDA 11 and cuDNN 8 ‣ Various bug fixes for channels-last layout optimization. Note that this layout is still in experimental form. See Known Issues below. ‣ Performance improvements Jupyter Notebook 6.0.3 ‣ Ubuntu 18.04 with January 2020 updates ‣ Initial support for channel-last layout for convolutions ‣ Support for loop unrolling and vectorized loads and stores in TensorIterator

(zero-d weights are dark) each with 33% sparsity at various granularity levels. It shows the parameter layout for a convolutional layer which receives a 3-channel input. Each individual 3x3 matrix is a kernel

Help on built-in function ones in module torch: ones(...) ones(*size, *, out=None, dtype=None, layout=torch.strided, device=None, requires_ �→grad=False) -> Tensor Returns a tensor filled with the Default: if None, uses a global default (see torch.set_default_tensor_type()). layout (torch.layout, optional): the desired layout of returned Tensor. Default: torch.strided. device (torch.device, optional):