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Remove `input_size` parameter

See original GitHub issue

I tried running the current demo: https://github.com/zalandoresearch/pytorch-ts/blob/62a18cfd0f19fc2247fc7e79e77f44b8dab6c4c9/README.md

But I got

$ ./pts-demo.py 
/home/user/.local/lib/python3.10/site-packages/gluonts/json.py:101: UserWarning: Using `json`-module for json-handling. Consider installing one of `orjson`, `ujson` to speed up serialization and deserialization.
  warnings.warn(
/usr/lib/python3/dist-packages/pkg_resources/__init__.py:116: PkgResourcesDeprecationWarning: 1.16.0-unknown is an invalid version and will not be supported in a future release
  warnings.warn(
/usr/lib/python3/dist-packages/pkg_resources/__init__.py:116: PkgResourcesDeprecationWarning: 1.1build1 is an invalid version and will not be supported in a future release
  warnings.warn(

(pts-demo.py:215019): dbind-WARNING **: 21:15:46.081: AT-SPI: Error retrieving accessibility bus address: org.freedesktop.DBus.Error.ServiceUnknown: The name org.a11y.Bus was not provided by any .service files
  0%|                                                                                                                                           | 0/49 [00:00<?, ?it/s]
Traceback (most recent call last):
  File "/home/user/src/covid-ts/./pts-demo.py", line 36, in <module>
    predictor = estimator.train(training_data=training_data, num_workers=4)
  File "/home/user/src/pytorch-ts/pts/model/estimator.py", line 179, in train
    return self.train_model(
  File "/home/user/src/pytorch-ts/pts/model/estimator.py", line 151, in train_model
    self.trainer(
  File "/home/user/src/pytorch-ts/pts/trainer.py", line 67, in __call__
    output = net(*inputs)
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1130, in _call_impl
    return forward_call(*input, **kwargs)
  File "/home/user/src/pytorch-ts/pts/model/deepar/deepar_network.py", line 246, in forward
    distr = self.distribution(
  File "/home/user/src/pytorch-ts/pts/model/deepar/deepar_network.py", line 221, in distribution
    rnn_outputs, _, scale, _ = self.unroll_encoder(
  File "/home/user/src/pytorch-ts/pts/model/deepar/deepar_network.py", line 200, in unroll_encoder
    outputs, state = self.rnn(inputs)
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1130, in _call_impl
    return forward_call(*input, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/rnn.py", line 767, in forward
    self.check_forward_args(input, hx, batch_sizes)
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/rnn.py", line 692, in check_forward_args
    self.check_input(input, batch_sizes)
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/rnn.py", line 205, in check_input
    raise RuntimeError(
RuntimeError: input.size(-1) must be equal to input_size. Expected 43, got 19

I tried to trace the code a bit but I got lost. I know 43 comes from https://github.com/zalandoresearch/pytorch-ts/blob/62a18cfd0f19fc2247fc7e79e77f44b8dab6c4c9/README.md?plain=1#L63 but I don’t understand where the 19 is coming from.

Issue Analytics

State:
Created a year ago
Reactions:1
Comments:7 (4 by maintainers)

Top GitHub Comments

1reaction

kousucommented, Jul 29, 2022

I simply set input_size=19 and everything seems to work, and the predictions seem reasonable.

some sample outputs

Figure_1 Figure_2 Figure_3

I don’t really understand from your docs what input_size is supposed to do. It doesn’t seem to be related to the shape of the demo’s input data, which is (15831, 1).

0reactions

kousucommented, Aug 14, 2022

I saw you updated the readme in the meantime! Thanks a lot for that, @kashif 😃