torch.full_like

函数定义

torch.full_like(input, fill_value, *, dtype=None, 
layout=torch.strided, device=None, requires_grad=False,
memory_format=torch.preserve_format) → Tensor

Returns a tensor with the same size as input filled with fill_value. torch.full_like(input, fill_value) is equivalent to torch.full(input.size(), fill_value, dtype=input.dtype, layout=input.layout, device=input.device).

参数

  • input (Tensor) – the size of input will determine size of the output tensor.
  • fill_value – the number to fill the output tensor with.

关键字参数

  • dtype (torch.dtype, optional) – the desired data type of returned Tensor. Default: if None, defaults to the dtype of input.
  • layout (torch.layout, optional) – the desired layout of returned tensor. Default: if None, defaults to the layout of input.
  • device (torch.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 (torch.memory_format, optional) – the desired memory format of returned Tensor. Default: torch.preserve_format.

例子

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

posted on 2021-05-13 21:13  朴素贝叶斯  阅读(323)  评论(0编辑  收藏  举报

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