torch.zeros

torch.zeros

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

Returns a tensor filled with the scalar value 0, with the shape defined by the variable argument

size

.

Parameters

• size (int...) – a sequence of integers defining the shape of the output tensor. Can be a variable number of arguments or a collection like a list or tuple.
• out (Tensor, optional) – the output tensor.
• dtype (

  torch.dtype

  , optional) – the desired data type of returned tensor. 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) – the desired device of returned tensor. Default: if

  None

  , uses the current device for the default tensor type (see

  torch.set_default_tensor_type()

  ).

  device

  will be the CPU for CPU tensor types and the current CUDA device for CUDA tensor types.
• requires_grad (bool, optional) – If autograd should record operations on the returned tensor. Default:

  False

  .

  Example:

>>> torch.zeros(2, 3)
tensor([[ 0.,  0.,  0.],
        [ 0.,  0.,  0.]])

>>> torch.zeros(5)
tensor([ 0.,  0.,  0.,  0.,  0.])           

複制