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Flatten

class torch.nn.Flatten(start_dim=1, end_dim=- 1)[source]

Flattens a contiguous range of dims into a tensor. For use with Sequential. See torch.flatten() for details.

Shape:
  • Input: (,Sstart,...,Si,...,Send,)(*, S_{\text{start}},..., S_{i}, ..., S_{\text{end}}, *),’ where SiS_{i} is the size at dimension ii and * means any number of dimensions including none.

  • Output: (,i=startendSi,)(*, \prod_{i=\text{start}}^{\text{end}} S_{i}, *).

Parameters:
  • start_dim (int) – first dim to flatten (default = 1).

  • end_dim (int) – last dim to flatten (default = -1).

Examples::
>>> input = torch.randn(32, 1, 5, 5)
>>> # With default parameters
>>> m = nn.Flatten()
>>> output = m(input)
>>> output.size()
torch.Size([32, 25])
>>> # With non-default parameters
>>> m = nn.Flatten(0, 2)
>>> output = m(input)
>>> output.size()
torch.Size([160, 5])

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