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| author | John Bauer <horatio@gmail.com> | 2022-05-01 05:59:35 +0300 |
|---|---|---|
| committer | John Bauer <horatio@gmail.com> | 2022-05-01 05:59:35 +0300 |
| commit | 88934d2971b3968ed54ea17a23d494df1fb555c2 (patch) | |
| tree | e51451683b3994dbbe51f9a025bb16aee34de8cd | |
| parent | cf89ca21c70263eaf80c98cef5a084515ca6cc89 (diff) | |
simplify a bitsentiment_charlm
| -rw-r--r-- | stanza/models/classifiers/cnn_classifier.py | 6 |
1 files changed, 2 insertions, 4 deletions
diff --git a/stanza/models/classifiers/cnn_classifier.py b/stanza/models/classifiers/cnn_classifier.py index 425d8278..7353a58e 100644 --- a/stanza/models/classifiers/cnn_classifier.py +++ b/stanza/models/classifiers/cnn_classifier.py @@ -297,10 +297,8 @@ class CNNClassifier(nn.Module): char_reps_backward = self.build_char_reps(inputs, max_phrase_len, self.backward_charlm, self.charmodel_backward_projection, begin_paddings, device) all_inputs.append(char_reps_backward) - if len(all_inputs) > 1: - input_vectors = torch.cat(all_inputs, dim=2) - else: - input_vectors = all_inputs[0] + # still works even if there's just one item + input_vectors = torch.cat(all_inputs, dim=2) # reshape to fit the input tensors x = input_vectors.unsqueeze(1) |