4 examples of 'pytorch concatenate' in Python

Every line of 'pytorch concatenate' code snippets is scanned for vulnerabilities by our powerful machine learning engine that combs millions of open source libraries, ensuring your Python code is secure.

All examples are scanned by Snyk Code

By copying the Snyk Code Snippets you agree to
this disclaimer
638def concatenate(inputs, axis=-1, **kwargs):
639 """Functional interface to the `Concatenate` layer.
641 # Arguments
642 inputs: A list of input tensors (at least 2).
643 axis: Concatenation axis.
644 **kwargs: Standard layer keyword arguments.
646 # Returns
647 A tensor, the concatenation of the inputs alongside axis `axis`.
648 """
649 return Concatenate(axis=axis, **kwargs)(inputs)

Use secure code every time

Secure your code as it's written. Use Snyk Code to scan source code in minutes – no build needed – and fix issues immediately. Enable Snyk Code

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)

Related snippets