torch_clone: Clone
In torch: Tensors and Neural Networks with 'GPU' Acceleration
View source: R/gen-namespace.R
torch_clone R Documentation
Clone
Description
Clone
Usage
torch_clone(self, memory_format = NULL)
Arguments
self
(Tensor) the input tensor.
memory_format
a torch memory format. see torch_preserve_format().
clone(input, *, memory_format=torch.preserve_format) -> Tensor
Returns a copy of input.
Note
This function is differentiable, so gradients will flow back from the
result of this operation to input. To create a tensor without an
autograd relationship to input see Tensor$detach.
torch documentation built on May 29, 2024, 9:54 a.m.
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View source: R/gen-namespace.R
| torch_clone | R Documentation |
Clone
Description
Clone
Usage
torch_clone(self, memory_format = NULL)
Arguments
self |
(Tensor) the input tensor. |
memory_format |
a torch memory format. see |
clone(input, *, memory_format=torch.preserve_format) -> Tensor
Returns a copy of input.
Note
This function is differentiable, so gradients will flow back from the
result of this operation to input. To create a tensor without an
autograd relationship to input see Tensor$detach.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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