remove nemo.collection.nlp imports from nemo2 #11904
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Signed-off-by: dimapihtar <[email protected]>
Signed-off-by: dimapihtar <[email protected]>
Signed-off-by: dimapihtar <[email protected]>
Signed-off-by: dimapihtar <[email protected]>
Signed-off-by: dimapihtar <[email protected]>
Signed-off-by: dimapihtar <[email protected]>
Signed-off-by: dimapihtar <[email protected]>
dimapihtar
changed the title
Signed-off-by: dimapihtar <[email protected]>
Signed-off-by: dimapihtar <[email protected]>
Signed-off-by: dimapihtar <[email protected]>
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beep boop 🤖: 🚨 The following files must be fixed before merge! Your code was analyzed with PyLint. The following annotations have been identified: Mitigation guide:
By applying these rules, we reduce the occurance of this message in future. Thank you for improving NeMo's documentation! |
|
beep boop 🤖: 🙏 The following files have warnings. In case you are familiar with these, please try helping us to improve the code base. Your code was analyzed with PyLint. The following annotations have been identified: Mitigation guide:
By applying these rules, we reduce the occurance of this message in future. Thank you for improving NeMo's documentation! |
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| @@ -12,15 +12,305 @@ | |||
| # See the License for the specific language governing permissions and | |||
| # limitations under the License. | |||
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|
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| import datetime | |||
| import json | |||
| import multiprocessing as mp | |||
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Code scanning / CodeQL
Unused import Note
| import datetime | ||
| import json | ||
| import multiprocessing as mp | ||
| import os |
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Code scanning / CodeQL
Unused import Note
| attention_mask = [self._create_attention_mask2(max_length, len) for len in lengths] | ||
| attention_mask = torch.stack(attention_mask) | ||
| position_ids = [list(range(max_length)) for _ in batch] | ||
| position_ids = torch.LongTensor(position_ids) |
Check notice
Code scanning / CodeQL
Unused local variable Note
| position_ids = [list(range(max_length)) for _ in batch] | ||
| position_ids = torch.LongTensor(position_ids) | ||
| input_ids = torch.LongTensor(self._collate_item(input_ids, max_length=max_length, pad_id=0)) | ||
| lengths = torch.LongTensor(lengths) - 1 # subtract 1 to account for the eos token |
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Code scanning / CodeQL
Unused local variable Note
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