RuntimeError: The size of tensor a (542) must match the size of tensor b (30) at non-singleton dimension 1

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Traceback (most recent call last):
File "/home/xwj/moment_project/research/forecasting/forecasting_3_autoformer.py", line 1174, in
main()
File "/home/xwj/moment_project/research/forecasting/forecasting_3_autoformer.py", line 1156, in main
checkpoint_path = train_model(args, timestamp)
File "/home/xwj/moment_project/research/forecasting/forecasting_3_autoformer.py", line 805, in train_model
pred_seq = model(x_enc, x_mark_enc, x_dec, x_mark_dec) # [B, pred_len, num_features]
File "/home/xwj/.conda/envs/wind_env/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/home/xwj/.conda/envs/wind_env/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl
return forward_call(*args, **kwargs)
File "/home/xwj/mnt/src/pre_models/Autoformer/models/Autoformer.py", line 87, in forward
dec_out = self.dec_embedding(seasonal_init, x_mark_dec)
File "/home/xwj/.conda/envs/wind_env/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/home/xwj/.conda/envs/wind_env/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl
return forward_call(*args, **kwargs)
File "/home/xwj/mnt/src/pre_models/Autoformer/layers/Embed.py", line 154, in forward
x = self.value_embedding(x) + self.temporal_embedding(x_mark)
RuntimeError: The size of tensor a (542) must match the size of tensor b (30) at non-singleton dimension 1
这个问题怎么回事呢？