4 examples of 'pytorch concatenate' in Python

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638def concatenate(inputs, axis=-1, **kwargs):
639 """Functional interface to the `Concatenate` layer.
640
641 # Arguments
642 inputs: A list of input tensors (at least 2).
643 axis: Concatenation axis.
644 **kwargs: Standard layer keyword arguments.
645
646 # Returns
647 A tensor, the concatenation of the inputs alongside axis `axis`.
648 """
649 return Concatenate(axis=axis, **kwargs)(inputs)
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20def concat(x):
21 x = list(x)
22 if len(x) == 0:
23 return None
24 if len(x) == 1:
25 return x[0]
26 return T.concatenate(x, axis=1)
124def concatenate(seq, axis=0, out=None):
125 # XXX(nkoep): Why do we cast to float32 instead of float64 here?
126 seq = [cast(t, float32) for t in seq]
127 return torch.cat(seq, dim=axis, out=out)
109def forward(self, *inputs):
110 return torch.cat(inputs, dim=self.dim)

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