tensorplay.functional.randn_like

tensorplay.functional.randn_like(input, *, dtype=None, layout=None, device=None, requires_grad=False, memory_format=tensorplay.preserve_format) → Tensor[source]

Returns a tensor with the same size as input that is filled with random numbers from a normal distribution with mean 0 and variance 1. Please refer to tensorplay.randn() for the sampling process of complex dtypes. tensorplay.randn_like(input) is equivalent to tensorplay.randn(input.size(), dtype=input.dtype, layout=input.layout, device=input.device).

Parameters:

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

Keyword Arguments:

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

• layout (tensorplay.layout, optional) – the desired layout of returned tensor. Default: if None, defaults to the layout of input.

• device (tensorplay.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 (tensorplay.memory_format, optional) – the desired memory format of returned Tensor. Default: tensorplay.preserve_format.