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# torch.Tensor.new_zeros

Tensor.new_zeros(size, *, dtype=None, device=None, requires_grad=False, layout=torch.strided, pin_memory=False) → Tensor

  Returns a Tensor of size `size` filled with `0`. By default, the returned Tensor has the same `torch.dtype` and `torch.device` as this tensor.

  Parameters:

    size (int...) – a list, tuple, or `torch.Size` of integers defining the shape of the output tensor.

  Keyword Arguments:

    - dtype (`torch.dtype`, optional) – the desired type of returned tensor. Default: if None, same `torch.dtype` as this tensor.

    - device (`torch.device`, optional) – the desired device of returned tensor. Default: if None, same `torch.device` as this tensor.

    - requires_grad (bool, optional) – If autograd should record operations on the returned tensor. Default: `False`.

    - layout (`torch.layout`, optional) – the desired layout of returned Tensor. Default: `torch.strided`.

    - pin_memory (bool, optional) – If set, returned tensor would be allocated in the pinned memory. Works only for CPU tensors. Default: `False`.

  Example:

      >>> tensor = torch.tensor((), dtype=torch.float64)
      >>> tensor.new_zeros((2, 3))
      tensor([[ 0.,  0.,  0.],
              [ 0.,  0.,  0.]], dtype=torch.float64)

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