Fierce Fox
0
Q:

pytorch squeeze

x = torch.zeros(2, 1, 2, 1, 2)
x.size()
>>> torch.Size([2, 1, 2, 1, 2])

y = torch.squeeze(x) # remove 1
y.size()
>>> torch.Size([2, 2, 2])

y = torch.squeeze(x, 0)
y.size()
>>> torch.Size([2, 1, 2, 1, 2])

y = torch.squeeze(x, 1)
y.size()
>>> torch.Size([2, 2, 1, 2])
0
ft = torch.Tensor([0, 1, 2])
print(ft.shape)
>>> torch.Size([3])

print(ft.unsqueeze(0)) # 0 means first dimension
print(ft.unsqueeze(0).shape)
>>> tensor([[0., 1., 2.]])
>>> torch.Size([1, 3])
0

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