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torch.full(),如下图所示:
torch.full(size, fill_value, *, out=None, dtype=None, layout=torch.strided, device=None, requires_grad=False) → Tensor
返回创建size大小的维度,里面元素全部填充为fill_value
输出形状为(2,3)的二维张量,里面元素全部填充为5
x = torch.full(size=(2,3),fill_value=5)
x
输出结果如下:
tensor([[5, 5, 5],
[5, 5, 5]])
torch.ones(),如下图所示:
torch.ones(*size, *, out=None, dtype=None, layout=torch.strided, device=None, requires_grad=False) → Tensor
返回创建size大小的维度,里面元素全部填充为1
a = torch.ones(2, 3)
b = torch.ones(5)
c = torch.ones(size=(3,4))
a,b,c
输出结果如下:
(tensor([[1., 1., 1.],
[1., 1., 1.]]),
tensor([1., 1., 1., 1., 1.]),
tensor([[1., 1., 1., 1.],
[1., 1., 1., 1.],
[1., 1., 1., 1.]]))
torch.zeros(),如下图所示:
torch.zeros(*size, *, out=None, dtype=None, layout=torch.strided, device=None, requires_grad=False) → Tensor
返回创建size大小的维度,里面元素全部填充为0
a = torch.zeros(2, 3)
b = torch.zeros(5)
c = torch.zeros(size=(3,4))
a,b,c
输出结果如下:
(tensor([[0., 0., 0.],
[0., 0., 0.]]),
tensor([0., 0., 0., 0., 0.]),
tensor([[0., 0., 0., 0.],
[0., 0., 0., 0.],
[0., 0., 0., 0.]]))
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