STID 运行 PEMSD4 和 PEMSD8 数据集报错，但PEMSD7 没问题

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Traceback (most recent call last):
File "run_model.py", line 36, in
run_model(task=args.task, model_name=args.model, dataset_name=args.dataset,
File "/home/xiezhicong/Code/ospp/Bigscity-LibCity/libcity/pipeline/pipeline.py", line 57, in run_model
executor.train(train_data, valid_data)
File "/home/xiezhicong/Code/ospp/Bigscity-LibCity/libcity/executor/traffic_state_executor.py", line 297, in train
losses = self._train_epoch(train_dataloader, epoch_idx, self.loss_func)
File "/home/xiezhicong/Code/ospp/Bigscity-LibCity/libcity/executor/traffic_state_executor.py", line 369, in _train_epoch
loss = loss_func(batch)
File "/home/xiezhicong/Code/ospp/Bigscity-LibCity/libcity/model/traffic_speed_prediction/STID.py", line 178, in calculate_loss
y_predicted = self.predict(batch)
File "/home/xiezhicong/Code/ospp/Bigscity-LibCity/libcity/model/traffic_speed_prediction/STID.py", line 184, in predict
return self.forward(batch)
File "/home/xiezhicong/Code/ospp/Bigscity-LibCity/libcity/model/traffic_speed_prediction/STID.py", line 138, in forward
time_series_emb = self.time_series_emb_layer(time_series_2)
File "/home/xiezhicong/anaconda3/envs/libcity_py38/lib/python3.8/site-packages/torch/nn/modules/module.py", line 727, in _call_impl
result = self.forward(*input, **kwargs)
File "/home/xiezhicong/anaconda3/envs/libcity_py38/lib/python3.8/site-packages/torch/nn/modules/conv.py", line 423, in forward
return self._conv_forward(input, self.weight)
File "/home/xiezhicong/anaconda3/envs/libcity_py38/lib/python3.8/site-packages/torch/nn/modules/conv.py", line 419, in _conv_forward
return F.conv2d(input, weight, self.bias, self.stride,
RuntimeError: Given groups=1, weight of size [32, 36, 1, 1], expected input[64, 12, 307, 1] to have 36 channels, but got 12 channels instead