4 examples of 'pytorch concatenate' in Python
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638 def 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)
20 def 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)
124 def 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)
109 def forward(self, *inputs): 110 return torch.cat(inputs, dim=self.dim)