tensorplay.full

tensorplay.full(size, fill_value, \*, out=None, dtype=None, layout=tensorplay.strided, device=None, requires_grad=False) → Tensor

Creates a tensor of size size filled with fill_value. The tensor’s dtype is inferred from fill_value.

Parameters:

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

• fill_value (Scalar) – the value to fill the output tensor with.

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.full((2, 3), 3.141592)
tensor([[ 3.1416,  3.1416,  3.1416],
        [ 3.1416,  3.1416,  3.1416]])