tensorplay.zeros

tensorplay.zeros(\*size, \*, out=None, dtype=None, layout=tensorplay.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.

Keyword Arguments:

• out (Tensor, optional) – the output tensor.

• dtype (tensorplay.dtype, optional) – the desired data type of returned tensor. Default: if None, uses a global default (see tensorplay.set_default_dtype()).

• layout (tensorplay.layout, optional) – the desired layout of returned Tensor. Default: tensorplay.strided.

• device (tensorplay.device, optional) – the desired device of returned tensor. Default: if None, uses the current device for the default tensor type (see tensorplay.set_default_device()). 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:

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

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