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nschaetti / EchoTorch

A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.
https://nschaetti.github.io/echotorch.github.io/
GNU General Public License v3.0
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Can't run any examples in timeserie_prediction folder #28

Open havenotfear opened 4 months ago

havenotfear commented 4 months ago

Trying to run any examples leads to issues

Reproduction steps

  1. install EchoTorch pip install -i https://test.pypi.org/simple/ EchoTorch
  2. Run narma10_gated_esn.py
  3. Errors: TypeError: NARMADataset.init() got an unexpected keyword argument 'seed'
  4. Remove Seed from dataset call
  5. TypeError: ESNCell.init() got an unexpected keyword argument 'spectral_radius' (bias_scaling, sparsity, w_sparsity, input_set)
  6. Remove these arguments in the constructor GatedESN call to LiESNCell constructor. if create_cell: self.esn_cell = LiESNCell( input_dim=input_dim, output_dim=reservoir_dim, input_scaling=input_scaling, w=w, w_in=w_in, w_bias=w_bias, nonlin_func=nonlin_func, leaky_rate=leaky_rate )
  7. Error with Dataloader when num_workers > 0, Set to 0
  8. ESNCell.py", line 319, in _input_layer return self.w_in.mv(ut) ^^^^^^^^^^^^^^^^ RuntimeError: vector + matrix @ vector expected, got 1, 1, 1

Not sure where the problem lies or if I'm using an incompatible version of EchoTorch, has anyone had success running this one?