Comments (2)
We append a torch_
prefix to most class names to avoid clashing s3 classes with other packages that might implement a LRScheduler
object that is unrelated to torch.
We could also have named the obejct TorchLRScheduler and then use that as class name, but in general these objects are not exposed directly to users and we provide constructors like nn_module()
, optim
that correctly add the expected classes.
from torch.
Okay, thanks for this explanation.
from torch.
Related Issues (20)
- A possible mistake in document "GET TECHNICAL" on the broadcasting
- Typo (?) in "get technical" document "Modules"
- Issue installing GPU-enabled torch HOT 13
- Issue installing Torch on M1 Mac HOT 1
- Sometimes running on device cuda and sometimes running on device cpu automatically, why? HOT 1
- RNN with packed sequences where enforce_sorted=TRUE gives an error.
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- torch_arange() behaviour depends on the dtype HOT 2
- torch_split() does not work HOT 2
- Parallel Dataloader failing when using num_workers > 0 HOT 1
- New release? HOT 1
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- Cuda 11.6 deprecated HOT 2
- torch fails on new Mac M3 architecture HOT 13
- Release torch 0.13.0
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- first and second order derivative of gamma samples HOT 1
- Unable to load pre-trained alexnet weights HOT 2
- Can't download lantern from https://torch-cdn.mlverse.org when install torch 0.13.0 in win11 HOT 4
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from torch.