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torch.roll — PyTorch 2.0 documentation
WebInput array. Axis or axes along which to flip over. The default, axis=None, will flip over all of the axes of the input array. If axis is negative it counts from the last to the first axis. If axis is a tuple of ints, flipping is performed on all of the axes specified in the tuple. Changed in version 1.15.0: None and tuples of axes are supported. Webtorch.roll torch.roll(input, shifts, dims=None) → Tensor Roll the tensor along the given dimension(s). Elements that are shifted beyond the last position are re-introduced at the first position. If a dimension is not specified, the tensor will be flattened before rolling and then restored to the original shape. Parameters input (Tensor) – the input tensor. shifts (int or … ibs and rectal spasms
torch.permute — PyTorch 2.0 documentation
WebNov 16, 2024 · Two-Layer and Three-Layer Torch Down Roof Systems. There are two different types of torch-down roofing systems: two-layer and three-layer. A two-layer torch down roof consists of one base sheet and one … Webnumpy.roll #. numpy.roll. #. Roll array elements along a given axis. Elements that roll beyond the last position are re-introduced at the first. Input array. The number of places … WebJan 10, 2024 · The function torch.linspace () returns a one-dimensional tensor of steps equally spaced points between start and end. The output tensor is 1-D of size steps. Syntax: torch.linspace (start, end, steps=100, out=None) start: the starting value for the set of point. steps: the gap between each pair of adjacent points. monday end of the month