missing stuffs in torch.nn.utils

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Assessment

Difficulty
4/5
Estimated time
3-5 days
Newbie friendliness
35/100
Issue type
Feature
Clarity
Mostly clear
Activity status
Stale
Tech stack
csharp
Domain
machine-learning

Research direction

Start at the TorchSharp entry points corresponding to torch.nn.utils and compare the unchecked functions in the issue with existing implementations. Inspect the rnn class as well, since the issue notes that some of its methods are incomplete. Done means the listed missing utilities and the remaining rnn methods are implemented and their behavior matches the corresponding PyTorch utilities.

Written by the indexing model from the issue text.

Description

  • clip_grad_norm_
  • clip_grad_value_
  • convert_conv2d_weight_memory_format
  • fuse_conv_bn_eval
  • fuse_conv_bn_weights
  • fuse_linear_bn_eval
  • fuse_linear_bn_weights
  • parameters_to_vector
  • parametrizations
  • remove_spectral_norm
  • remove_weight_norm
  • rnn
  • skip_init
  • spectral_norm
  • stateless
  • vector_to_parameters
  • rnn is checked because the class do exist in TorchSharp, but actually not all the methods inside have been implemented.
Dominant language
C#
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  4. Open a pull request that references the issue number.

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