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Scalable Computation of Hessian Diagonals

License: MIT License

Python 100.00%
deep-learning hessian hessian-diagonals optimization-methods optimizer pytorch

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Supported Layers Tracker

Here is a list of the torch.nn modules to be supported for HesScale.

  • Loss functions
    • MSELoss
    • CrossEntropyLoss
  • Activations
    • ReLU
    • Sigmoid
    • Tanh
    • LeakyReLU
    • LogSigmoid
    • ELU
    • SELU
  • Others:
    • Linear
    • Dropout
    • Flatten
  • CNN related layers:
    • MaxPool1d
    • MaxPool2d
    • AvgPool1d
    • MaxPool3d
    • AvgPool2d
    • AvgPool3d
    • ZeroPad2d
    • Conv1d
    • Conv2d
    • Conv3d
    • ConvTranspose1d
    • ConvTranspose2d
    • ConvTranspose3d
  • Recurrent related layers:
    • RNN
    • LSTM

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