have a problem on ubuntu example

[xtyi1997]

dataset:url = "https://raw.githubusercontent.com/numenta/NAB/master/data/realTweets/Twitter_volume_AMZN.csv" example=https://github.com/zalandoresearch/pytorch-ts

---

RuntimeError Traceback (most recent call last)

in 7 device=device)) 8 # predictor = estimator.train(training_data=training_data, num_workers=4) ----> 9 predictor = estimator.train(training_data=training_data, num_workers=1) 10 ~/Documents/pytorch-ts/pts/model/estimator.py in train(self, training_data, validation_data, num_workers, prefetch_factor, shuffle_buffer_length, cache_data, **kwargs) 179 shuffle_buffer_length=shuffle_buffer_length, 180 cache_data=cache_data, --> 181 **kwargs, 182 ).predictor ~/Documents/pytorch-ts/pts/model/estimator.py in train_model(self, training_data, validation_data, num_workers, prefetch_factor, shuffle_buffer_length, cache_data, **kwargs) 147 net=trained_net, 148 train_iter=training_data_loader, --> 149 validation_iter=validation_data_loader, 150 ) 151 ~/Documents/pytorch-ts/pts/trainer.py in __call__(self, net, train_iter, validation_iter) 70 71 inputs = [v.to(self.device) for v in data_entry.values()] ---> 72 output = net(*inputs) 73 74 if isinstance(output, (list, tuple)): ~/anaconda3/envs/torch18/lib/python3.6/site-packages/torch/nn/modules/module.py in _call_impl(self, *input, **kwargs) 887 result = self._slow_forward(*input, **kwargs) 888 else: --> 889 result = self.forward(*input, **kwargs) 890 for hook in itertools.chain( 891 _global_forward_hooks.values(), ~/Documents/pytorch-ts/pts/model/deepar/deepar_network.py in forward(self, feat_static_cat, feat_static_real, past_time_feat, past_target, past_observed_values, future_time_feat, future_target, future_observed_values) 252 future_time_feat=future_time_feat, 253 future_target=future_target, --> 254 future_observed_values=future_observed_values, 255 ) 256 ~/Documents/pytorch-ts/pts/model/deepar/deepar_network.py in distribution(self, feat_static_cat, feat_static_real, past_time_feat, past_target, past_observed_values, future_time_feat, future_target, future_observed_values) 226 past_observed_values=past_observed_values, 227 future_time_feat=future_time_feat, --> 228 future_target=future_target, 229 ) 230 ~/Documents/pytorch-ts/pts/model/deepar/deepar_network.py in unroll_encoder(self, feat_static_cat, feat_static_real, past_time_feat, past_target, past_observed_values, future_time_feat, future_target) 198 199 # unroll encoder --> 200 outputs, state = self.rnn(inputs) 201 202 # outputs: (batch_size, seq_len, num_cells) ~/anaconda3/envs/torch18/lib/python3.6/site-packages/torch/nn/modules/module.py in _call_impl(self, *input, **kwargs) 887 result = self._slow_forward(*input, **kwargs) 888 else: --> 889 result = self.forward(*input, **kwargs) 890 for hook in itertools.chain( 891 _global_forward_hooks.values(), ~/anaconda3/envs/torch18/lib/python3.6/site-packages/torch/nn/modules/rnn.py in forward(self, input, hx) 657 hx = self.permute_hidden(hx, sorted_indices) 658 --> 659 self.check_forward_args(input, hx, batch_sizes) 660 if batch_sizes is None: 661 result = _VF.lstm(input, hx, self._flat_weights, self.bias, self.num_layers, ~/anaconda3/envs/torch18/lib/python3.6/site-packages/torch/nn/modules/rnn.py in check_forward_args(self, input, hidden, batch_sizes) 603 # See torch/nn/modules/module.py::_forward_unimplemented 604 def check_forward_args(self, input: Tensor, hidden: Tuple[Tensor, Tensor], batch_sizes: Optional[Tensor]): # type: ignore --> 605 self.check_input(input, batch_sizes) 606 self.check_hidden_size(hidden[0], self.get_expected_hidden_size(input, batch_sizes), 607 'Expected hidden[0] size {}, got {}') ~/anaconda3/envs/torch18/lib/python3.6/site-packages/torch/nn/modules/rnn.py in check_input(self, input, batch_sizes) 202 raise RuntimeError( 203 'input.size(-1) must be equal to input_size. Expected {}, got {}'.format( --> 204 self.input_size, input.size(-1))) 205 206 def get_expected_hidden_size(self, input: Tensor, batch_sizes: Optional[Tensor]) -> Tuple[int, int, int]: RuntimeError: input.size(-1) must be equal to input_size. Expected 43, got 19

[kashif]

right can you try with input_size=19?

[xtyi1997]

right can you try with input_size=19?

it work for me