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torch.full_like
torch.full_like(input, fill_value, \*, dtype=None, layout=torch.strided, device=None, requires_grad=False, memory_format=torch.preserve_format) → Tensor-
Returns a tensor with the same size as
inputfilled withfill_value.torch.full_like(input, fill_value)is equivalent totorch.full(input.size(), fill_value, dtype=input.dtype, layout=input.layout, device=input.device).- Parameters
-
- input (Tensor) – the size of
inputwill determine size of the output tensor. - fill_value – the number to fill the output tensor with.
- input (Tensor) – the size of
- Keyword Arguments
-
- dtype (
torch.dtype, optional) – the desired data type of returned Tensor. Default: ifNone, defaults to the dtype ofinput. - layout (
torch.layout, optional) – the desired layout of returned tensor. Default: ifNone, defaults to the layout ofinput. - device (
torch.device, optional) – the desired device of returned tensor. Default: ifNone, defaults to the device ofinput. - requires_grad (bool, optional) – If autograd should record operations on the returned tensor. Default:
False. - memory_format (
torch.memory_format, optional) – the desired memory format of returned Tensor. Default:torch.preserve_format.
- dtype (
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https://pytorch.org/docs/2.1/generated/torch.full_like.html