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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 `input` filled with `fill_value`. `torch.full_like(input, fill_value)` is equivalent to `torch.full(input.size(), fill_value, dtype=input.dtype, layout=input.layout, device=input.device)`.

  Parameters:

    - input (Tensor) – the size of `input` will determine size of the output tensor.

    - fill_value – the number to fill the output tensor with.

  Keyword Arguments:

    - dtype (`torch.dtype`, optional) – the desired data type of returned Tensor. Default: if `None`, defaults to the dtype of `input`.

    - layout (`torch.layout`, optional) – the desired layout of returned tensor. Default: if `None`, defaults to the layout of `input`.

    - device (`torch.device`, optional) – the desired device of returned tensor. Default: if `None`, defaults to the device of `input`.

    - 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`.

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