ImportError: cannot import name 'rerank' #2213
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Same thing, Unfortunately, I could not get the noisy channel example to work with older release of fairseq (and pytorch), some other issue where a file was expected to be generated (I see that this was because the code was looking for hardcoded paths like root_dir + 'new_bpe' something like that. So I decided to update the repos and give it another go. I am yet to check the code before doing which I wanted to see if this issue was mentioned here in the official repo. Thanks |
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This issue is probably related to #2738 |
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myleott
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jinyiyang-jhu
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Summary: - Rename type -> key in fairseq/tasks/sentence_prediction.py (fixes facebookresearch/fairseq#2746) - Update preprocessing docs (fixes facebookresearch/fairseq#2565) - Turn off logging in test_fp16_optimizer.TestGradientScaling - Documentation updates - Remove some unused code - Fix noisychannel example (fixes facebookresearch/fairseq#2213) Pull Request resolved: facebookresearch/fairseq#2786 Reviewed By: shruti-bh Differential Revision: D24515146 Pulled By: myleott fbshipit-source-id: 86b0f5516c57610fdca801c60e58158ef052fc3a
facebook-github-bot
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Summary: Fix fairinternal/fairseq-py#2177 for the transformer conversion to Hydra. The way the defaults are dealt with now is different so when you use the legacy Namespace configuration, you end up with a default encoder_embed_dim, which in the VGG case sets up a encoder attention in the TransformerDecoderLayer with the wrong dimentions. The easiest solution is to erase the default value for encoder_embed_dim (by forcing it to None) when converting the VGG config to the raw Namespace for the decoder layer. Tested with: `pytest tests/speech_recognition/test_vggtransformer.py -k Transformer` Pull Request resolved: fairinternal/fairseq-py#2213 Test Plan: pytest tests/speech_recognition/test_vggtransformer.py -k Transformer Reviewed By: sshleifer Differential Revision: D30425143 Pulled By: Mortimerp9 fbshipit-source-id: 92f6dea2ffbb68e441700bcc55274b3167a587b3
sorenmulli
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Oct 4, 2021
…bookresearch#2213) Summary: Fix fairinternal/fairseq-py#2177 for the transformer conversion to Hydra. The way the defaults are dealt with now is different so when you use the legacy Namespace configuration, you end up with a default encoder_embed_dim, which in the VGG case sets up a encoder attention in the TransformerDecoderLayer with the wrong dimentions. The easiest solution is to erase the default value for encoder_embed_dim (by forcing it to None) when converting the VGG config to the raw Namespace for the decoder layer. Tested with: `pytest tests/speech_recognition/test_vggtransformer.py -k Transformer` Pull Request resolved: fairinternal/fairseq-py#2213 Test Plan: pytest tests/speech_recognition/test_vggtransformer.py -k Transformer Reviewed By: sshleifer Differential Revision: D30425143 Pulled By: Mortimerp9 fbshipit-source-id: 92f6dea2ffbb68e441700bcc55274b3167a587b3
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I executed
examples/noisychannel/rerank_tune.pyfollowing the noisy channel example and getFile "examples/noisychannel/rerank_tune.py", line 12, in <module> from . import rerank, rerank_options ImportError: cannot import name 'rerank'orThe text was updated successfully, but these errors were encountered: