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Hi, I am trying to run your Trimodal-BART-driver.py file. In it in line 416 I believe the dimension of acoustic input is batch x max_acoustic_len x acoustic_dim. The output returned by self.acoustic_transformer(acoustic_input) is of shape batch x max_acoustic_len x acoustic_dim. So the output of self.acoustic_transformer(acoustic_input)[-1] will be of shape max_acoustic_len x acoustic_dim. And you are passing this output of shape (max_acoustic_len x acoustic_dim) to MAF_layer in line 418. Therefore the dimension of acoustic_context in MAF_layer is (max_acoustic_len x acoustic_dim).
So my question is since the dimension of acoustic_context in MAF_layer is (max_acoustic_len x acoustic_dim) in line 242 it is throwing error. Please help.
The text was updated successfully, but these errors were encountered:
Hi, I am trying to run your Trimodal-BART-driver.py file. In it in line 416 I believe the dimension of acoustic input is batch x max_acoustic_len x acoustic_dim. The output returned by self.acoustic_transformer(acoustic_input) is of shape batch x max_acoustic_len x acoustic_dim. So the output of self.acoustic_transformer(acoustic_input)[-1] will be of shape max_acoustic_len x acoustic_dim. And you are passing this output of shape (max_acoustic_len x acoustic_dim) to MAF_layer in line 418. Therefore the dimension of acoustic_context in MAF_layer is (max_acoustic_len x acoustic_dim).
So my question is since the dimension of acoustic_context in MAF_layer is (max_acoustic_len x acoustic_dim) in line 242 it is throwing error. Please help.
The text was updated successfully, but these errors were encountered: