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DanielPFlorian

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Transformers-Github-Issues

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[ "There is an example: https://github.com/huggingface/transformers/blob/master/examples/run_generation.py", "Thanks!", "This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n" ]

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[ "The code snippet prints `True` for me.\r\nI have the versions:\r\ntransformers version: 2.5.1\r\nPlatform: Linux\r\nPython version: 3.6.9\r\nPyTorch version: 1.4.0+cpu\r\nCan you try `pip install --upgrade transformers` and see whether the error is still there?\r\n\r\n(Posted on behalf of @patrickvonplaten who's having issues with Github)", "Thanks @TevenLeScao it seems the issue was only for transformers ~2.3" ]

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[ "# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/3011?src=pr&el=h1) Report\n> Merging [#3011](https://codecov.io/gh/huggingface/transformers/pull/3011?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/e693cd1e877aa191d3317faed33e87d1558c9406?src=pr&el=desc) will **decrease** coverage by `1.02%`.\n> The diff coverage is `100%`.\n\n[](https://codecov.io/gh/huggingface/transformers/pull/3011?src=pr&el=tree)\n\n```diff\n@@ Coverage Diff @@\n## master #3011 +/- ##\n==========================================\n- Coverage 77.25% 76.22% -1.03% \n==========================================\n Files 98 98 \n Lines 16040 16048 +8 \n==========================================\n- Hits 12392 12233 -159 \n- Misses 3648 3815 +167\n```\n\n\n| [Impacted Files](https://codecov.io/gh/huggingface/transformers/pull/3011?src=pr&el=tree) | Coverage Δ | |\n|---|---|---|\n| [src/transformers/modeling\\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/3011/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ191dGlscy5weQ==) | `92.05% <ø> (-0.33%)` | :arrow_down: |\n| [src/transformers/configuration\\_xlm.py](https://codecov.io/gh/huggingface/transformers/pull/3011/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9jb25maWd1cmF0aW9uX3hsbS5weQ==) | `96.36% <100%> (+0.13%)` | :arrow_up: |\n| [src/transformers/configuration\\_gpt2.py](https://codecov.io/gh/huggingface/transformers/pull/3011/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9jb25maWd1cmF0aW9uX2dwdDIucHk=) | `97.22% <100%> (+0.16%)` | :arrow_up: |\n| [src/transformers/configuration\\_transfo\\_xl.py](https://codecov.io/gh/huggingface/transformers/pull/3011/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9jb25maWd1cmF0aW9uX3RyYW5zZm9feGwucHk=) | `92.59% <100%> (+0.13%)` | :arrow_up: |\n| [src/transformers/configuration\\_xlnet.py](https://codecov.io/gh/huggingface/transformers/pull/3011/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9jb25maWd1cmF0aW9uX3hsbmV0LnB5) | `93.87% <100%> (+0.39%)` | :arrow_up: |\n| [src/transformers/modeling\\_tf\\_pytorch\\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/3011/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9weXRvcmNoX3V0aWxzLnB5) | `8.72% <0%> (-81.21%)` | :arrow_down: |\n| [src/transformers/modeling\\_roberta.py](https://codecov.io/gh/huggingface/transformers/pull/3011/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19yb2JlcnRhLnB5) | `85.71% <0%> (-10%)` | :arrow_down: |\n| [src/transformers/modeling\\_xlnet.py](https://codecov.io/gh/huggingface/transformers/pull/3011/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ194bG5ldC5weQ==) | `73.48% <0%> (-2.3%)` | :arrow_down: |\n| [src/transformers/modeling\\_ctrl.py](https://codecov.io/gh/huggingface/transformers/pull/3011/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19jdHJsLnB5) | `96.03% <0%> (-2.21%)` | :arrow_down: |\n| [src/transformers/modeling\\_openai.py](https://codecov.io/gh/huggingface/transformers/pull/3011/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19vcGVuYWkucHk=) | `80.2% <0%> (-1.35%)` | :arrow_down: |\n| ... and [1 more](https://codecov.io/gh/huggingface/transformers/pull/3011/diff?src=pr&el=tree-more) | |\n\n------\n\n[Continue to review full report at Codecov](https://codecov.io/gh/huggingface/transformers/pull/3011?src=pr&el=continue).\n> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)\n> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`\n> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/3011?src=pr&el=footer). Last update [e693cd1...f5b50c6](https://codecov.io/gh/huggingface/transformers/pull/3011?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).\n", "Isn’t this duplicating info that’s already in the tokenizers?", "@julien-c yeah it's duplicating information. \r\n\r\nThe main reason I added them is because when calling the function `model.generate()` one always has to put the special token ids into the function with:\r\n`model.generate(pad_token_id=tokenizer.pad_token_id, ...)` \r\n\r\nThe second reason was that every pretrained model already has the attributes `pad_token_id`, `eos_token_id` and `bos_token_id` which are just set to None no matter which pretrained model is loaded. \r\n\r\nOr we could just delete the attributes pad_token_id from the config - I think the generate() function is anyways the only function using self.config.pad_token_id\r\n", "maybe the `generate()` method should actually be a pipeline? cf. the `FillMaskPipeline`?", "Ok, I see your point! Should we maybe then also delete the self.pad_token_id, self.eos_token_id and self.bos_token_id in https://github.com/huggingface/transformers/blob/5bc99e7f33c83b23b88740877283098ef7964b73/src/transformers/configuration_utils.py#L78\r\n\r\nSo that it is clear that the tokens are no attribute of the models at all. @julien-c & @LysandreJik ", "Yes, I think that would make sense. Are these used anywhere?", "They are only used in the generate() function, but since there is also a pad_token_id argument to the function, they are not needed at all. I will open a new PR to delete them. ", "As I mentioned before, I feel like we should go toward having a single configuration file for both models and tokenizers (at least for pretrained model, for newly initialized model this may imply forcing the user to supply a configuration object when creating the model/tokenizer).\r\n\r\nIn this case I don't see any problem with having token_id attributes in this configuration file that the model could use, this doesn't means we are gathering tokenizer and model, just that they are depending on a single configuration object.\r\n\r\nI do agree that we need to think this carefully though." ]

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[ "What do you think about just using https://github.com/harvardnlp/pytorch-struct (I'm biased)? It should remove the need for most of this code. \r\n\r\nAlso we now have a pytorch-lightning NER example which should make this much simpler. \r\n\r\nWould also be helpful to know if any of this improves prediction accuracy.", "@srush thanks for the comment, I'll definitely check out the repo. Regarding accuracy, there are studies that suggest using CRF yields better results in some languages, for example in Portugese and Slavic languages:\r\n\r\narticle{souza2019portuguese,\r\n title={Portuguese Named Entity Recognition using BERT-CRF},\r\n author={Souza, F{\\'a}bio and Nogueira, Rodrigo and Lotufo, Roberto},\r\n journal={arXiv preprint arXiv:1909.10649},\r\n year={2019}\r\n}\r\n\r\narticle{arkhipov2019tuning,\r\n title={Tuning Multilingual Transformers for Named Entity Recognition on Slavic Languages},\r\n author={Arkhipov, Mikhail and Trofimova, Maria and Kuratov, Yuri and Sorokin, Alexey},\r\n journal={BSNLP’2019},\r\n pages={89},\r\n year={2019}\r\n}\r\n", "this looks promising. is this going to be merged?", "So as per my above comment, I'm not going to merge this example which feels too complex to me. But I will start an issue to put together some work `crf/` examples for ner/chunking/parsing that people can build on." ]

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[ "same experience with a 2080TI. It s like it s not batched...", "This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n", "As @pommedeterresautee mentioned, the samples are not batched. I've made a [simple modification](https://gist.github.com/vinicius-cleves/1b2d79a9665d165ac22451c225b2f8b0) to do batch inference on pytorch, but it didn`t seem to help much with the total processing time. \r\n" ]

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[ "Cool, thanks @mataney! Do you mind running `make style` at the root of the repository to reformat the file according to `black` and `isort`, as indicated in our [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md#start-contributing-pull-requests)?\r\n\r\nThis is so the `check_code_quality` passes.", "@LysandreJik Thanks for your reply.\r\n\r\nRecommited with the black formatting.\r\nIt is now failing because something else. Do you think you can rerun the tests? I believe it has something to do with the Indeterminism of the tests.\r\n\r\n", "Can I have your help here @LysandreJik " ]

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[ "I cannot reproduce this. Can you post a verifiable example with full code that I can just copy and paste?\r\n\r\nHere you see that I just get 7 tokens back:\r\n\r\n```python\r\nimport numpy as np\r\nfrom transformers import AutoTokenizer, AutoModel, pipeline\r\n\r\n\r\nmodel = AutoModel.from_pretrained('distilbert-base-uncased')\r\ntokenizer = AutoTokenizer.from_pretrained('distilbert-base-uncased')\r\nnlp = pipeline('feature-extraction', model=model, tokenizer=tokenizer)\r\n\r\nfeatures = nlp('Do you like cookies ?')\r\nprint(features)\r\nfeatures = np.squeeze(features)\r\nprint(features.shape)\r\n# (7, 768)\r\n```", "@BramVanroy Hi thanks for the quick reply.\r\n\r\nI have used the code example you provided and get the same output again:\r\n\r\n```\r\nimport numpy as np\r\nfrom transformers import AutoTokenizer, AutoModel, pipeline\r\n\r\n\r\nmodel = AutoModel.from_pretrained('distilbert-base-uncased')\r\ntokenizer = AutoTokenizer.from_pretrained('distilbert-base-uncased')\r\nnlp = pipeline('feature-extraction', model=model, tokenizer=tokenizer)\r\n\r\nfeatures = nlp('Do you like cookies ?')\r\nfeatures = np.squeeze(features)\r\nprint(feature.shape)\r\n# (512, 768)\r\n```\r\n\r\nYesterday I deleted my transformers directory and cloned the github repo of transformers again and used pip --install . to set everything up so I should be on the most recent version with no differences.", "Hm, that is odd. I have tested with 2.5.0 and 2.5.1 and both give me 7 tokens back.\r\n\r\nCan you run `python transformers-cli env` and paste the result here?", "I actually have a similar issue, but with the Fast Tokenizer for the `bert-base-uncased` model\r\n\r\n```\r\nmodel = BertModel.from_pretrained('bert-base-uncased')\r\n\r\ntokenizer_fast = BertTokenizerFast.from_pretrained('bert-base-uncased', \r\nadd_special_tokens=False)\r\n\r\ntokenizer = BertTokenizer.from_pretrained('bert-base-uncased', \r\nadd_special_tokens=False)\r\n\r\nsentence = 'We are very happy to include pipeline into the transformers repository.'\r\n\r\nnlp = pipeline('feature-extraction', model=model, tokenizer=tokenizer, device=0)\r\n\r\nnlp2 = pipeline('feature-extraction', model=model, tokenizer=tokenizer_fast, device=0)\r\n\r\ntnsor = np.squeeze(nlp(sentence))\r\n# (14, 768)\r\n\r\ntnsor = np.squeeze(nlp2(sentence))\r\n# (512, 768)\r\n\r\n```\r\n\r\nThe \"slow\" tokenizer gives me the expected 14 tokens (which is strange too because I set `add_special_tokens=False` but not relevant for this question) but the fast tokenizer gives me the padded 512 tokens.\r\n\r\nAny ideas? Thanks!", "cc @mfuntowicz Users in this thread report that the behaviour of the fast tokenizer differs from the slow ones with respect to the pipeline. When the pipeline is used for feature extraction, the fast tokenizers return the fully padded output (512) instead of the expected output (number of subtokens). Not sure if related to https://github.com/huggingface/transformers/pull/2961", "@BramVanroy I decided to clone and rebuild transformers again to make 100% sure I'm on the most recent version and have a clean working environment. After doing so I got the expected result of shape (<512, 768).\r\n\r\nIn the end I'm not sure what the problem was. Should I close this issue or keep it open for @mabergerx ?\r\n\r\n@mabergerx Try cloning the code into a new directory and rebuild from source. This ended up fixing the problem for me.", "You can keep it open for now, because it seems to indicate some inconsistencies between versions or even commits. I will have a closer look when I find the time.", "Regarding `add_special_tokens` behaviour, this is one of the major difference between fast and slow tokenizers. Fast requires the parameter to be defined at creation time (as you did), for the slow ones, it should be provided while calling methods like `encode`, `encode_plus`, `batch_encode_plus`. \r\n\r\nFor the initial padding issue, we fixed some stuff related to padding on transformers 2.5.1 which might also have resolved your issue. ", "This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n" ]

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[ "BART has only just been implemented and is not part of release code yet. I'm sure that examples will be added later on, you just need a bit more patience.", "How is this going? I would like to train BART for text summarization with my own dataset and I have no idea of what preprocessing is needed or what inputs the model needs. I would appreciate the help @sshleifer.", "No training code yet, but we have an eval example. Its very new obviously, so make an issue and tag me if it breaks :)", "https://github.com/huggingface/transformers/blob/b3e0a1cf0573a909f1769b5f1c2b7273faf36cf4/examples/summarization/bart/evaluate_cnn.py", "The associated PR I opened has the training code. Just in case you want to test it out and run some experiments/give feedback. I based it on [this colab](https://colab.research.google.com/drive/1C4jEf0fnLiz6Xdx4TDz1OoO4BRCjCx1m) that I wrote. ", "I couldn't reach the accuracy in the paper with CNNDM dataset using the pre-trained model (facebook/bart-large-cnn). Can anybody reproduce the accuracy properly?" ]

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[ "This is a very general PyTorch question. Please post it on Stack Overflow. https://stackoverflow.com/\r\n\r\nAbout the BERT part: `outputs` is a tuple. `[0]` is the last hidden state (sequence output), `[1]` is the pooled output.\r\n\r\n" ]

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[ "This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n" ]

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[ "# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/2999?src=pr&el=h1) Report\n> Merging [#2999](https://codecov.io/gh/huggingface/transformers/pull/2999?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/8194df8e0cff8e5866ec2bcbda34e3892f10eb39?src=pr&el=desc) will **decrease** coverage by `1.01%`.\n> The diff coverage is `n/a`.\n\n[](https://codecov.io/gh/huggingface/transformers/pull/2999?src=pr&el=tree)\n\n```diff\n@@ Coverage Diff @@\n## master #2999 +/- ##\n==========================================\n- Coverage 77.16% 76.14% -1.02% \n==========================================\n Files 98 98 \n Lines 15999 15999 \n==========================================\n- Hits 12345 12182 -163 \n- Misses 3654 3817 +163\n```\n\n\n| [Impacted Files](https://codecov.io/gh/huggingface/transformers/pull/2999?src=pr&el=tree) | Coverage Δ | |\n|---|---|---|\n| [src/transformers/modeling\\_tf\\_pytorch\\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/2999/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9weXRvcmNoX3V0aWxzLnB5) | `8.72% <0%> (-81.21%)` | :arrow_down: |\n| [src/transformers/modeling\\_roberta.py](https://codecov.io/gh/huggingface/transformers/pull/2999/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19yb2JlcnRhLnB5) | `85.71% <0%> (-10%)` | :arrow_down: |\n| [src/transformers/modeling\\_xlnet.py](https://codecov.io/gh/huggingface/transformers/pull/2999/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ194bG5ldC5weQ==) | `73.48% <0%> (-2.3%)` | :arrow_down: |\n| [src/transformers/modeling\\_ctrl.py](https://codecov.io/gh/huggingface/transformers/pull/2999/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19jdHJsLnB5) | `96.03% <0%> (-2.21%)` | :arrow_down: |\n| [src/transformers/modeling\\_openai.py](https://codecov.io/gh/huggingface/transformers/pull/2999/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19vcGVuYWkucHk=) | `80.2% <0%> (-1.35%)` | :arrow_down: |\n| [src/transformers/modeling\\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/2999/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ191dGlscy5weQ==) | `92.53% <0%> (+0.32%)` | :arrow_up: |\n\n------\n\n[Continue to review full report at Codecov](https://codecov.io/gh/huggingface/transformers/pull/2999?src=pr&el=continue).\n> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)\n> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`\n> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/2999?src=pr&el=footer). Last update [8194df8...b00f716](https://codecov.io/gh/huggingface/transformers/pull/2999?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).\n" ]

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[ "> Cool! Indeed, if I remember the paper correctly there is no need to shift the labels. Maybe we could update the [associated docstring](https://github.com/huggingface/transformers/blob/master/src/transformers/modeling_xlnet.py#L980-L985) to make sure no one gets confused again?\r\n\r\nDone :-) ", "# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/2997?src=pr&el=h1) Report\n> Merging [#2997](https://codecov.io/gh/huggingface/transformers/pull/2997?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/21d8b6a33ebf96680b6a0aabd27fa7eaa068da93?src=pr&el=desc) will **not change** coverage.\n> The diff coverage is `n/a`.\n\n[](https://codecov.io/gh/huggingface/transformers/pull/2997?src=pr&el=tree)\n\n```diff\n@@ Coverage Diff @@\n## master #2997 +/- ##\n=======================================\n Coverage 77.19% 77.19% \n=======================================\n Files 98 98 \n Lines 16013 16013 \n=======================================\n Hits 12361 12361 \n Misses 3652 3652\n```\n\n\n| [Impacted Files](https://codecov.io/gh/huggingface/transformers/pull/2997?src=pr&el=tree) | Coverage Δ | |\n|---|---|---|\n| [src/transformers/modeling\\_xlnet.py](https://codecov.io/gh/huggingface/transformers/pull/2997/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ194bG5ldC5weQ==) | `75.77% <ø> (ø)` | :arrow_up: |\n\n------\n\n[Continue to review full report at Codecov](https://codecov.io/gh/huggingface/transformers/pull/2997?src=pr&el=continue).\n> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)\n> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`\n> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/2997?src=pr&el=footer). Last update [21d8b6a...1868b91](https://codecov.io/gh/huggingface/transformers/pull/2997?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).\n" ]

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[ "Hi, our Albert implementation only handles SentencePiece vocabulary.", "Thank you for your response. I tried generating a sentencepiece vocab model via ..**_spm.SentencePieceTrainer.Train('--input=ALBERT_PEP3V.txt\r\n--model_prefix=albertv1 --vocab_size=10000 --hard_vocab_limit=False')_**....and a model is successfully generated, however when I run your tokenization all sentences get the exact same encoding; for example **_\" I am running\" will be [ 0, 3, 0, 3]_** and .....**_\" the dog jumps\" will be the same [0,3, 0, 3]_**. Any idea why this is happening?\r\n\r\nThanks again.", "This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n", "Can we use higgingface for sentence pair classification?\n\n\n\nChé Martin Ph.D\nT: 917-684-0864\nE: [email protected]\nLinkedIn: https://www.linkedin.com/in/chemartin\n________________________________\nFrom: stale[bot] <[email protected]>\nSent: Wednesday, April 29, 2020 10:09:51 AM\nTo: huggingface/transformers <[email protected]>\nCc: Che Martin <[email protected]>; Author <[email protected]>\nSubject: Re: [huggingface/transformers] Trying to Use AlbertTokenizer With my own custom Vocab file (#2996)\n\n\nThis issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n\n—\nYou are receiving this because you authored the thread.\nReply to this email directly, view it on GitHub<https://github.com/huggingface/transformers/issues/2996#issuecomment-621235452>, or unsubscribe<https://github.com/notifications/unsubscribe-auth/AOUU5C3VU3LKUY5A4X5URUTRPAYK7ANCNFSM4K2ODLBA>.\n", "This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n" ]

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[ "In this scenario, the user would do a single optimizer step over the whole batch?\r\n\r\nSure, we would welcome a PR! Could you add a comment as well, so that the purpose of this line may be clear for the user?", "After the change we would do a single optimizer step over each *epoch*.\r\nAdded a comment and created a PR. \r\nhttps://github.com/huggingface/transformers/pull/3006\r\nCheers." ]

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[ "# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/2994?src=pr&el=h1) Report\n> Merging [#2994](https://codecov.io/gh/huggingface/transformers/pull/2994?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/8194df8e0cff8e5866ec2bcbda34e3892f10eb39?src=pr&el=desc) will **increase** coverage by `0.06%`.\n> The diff coverage is `n/a`.\n\n[](https://codecov.io/gh/huggingface/transformers/pull/2994?src=pr&el=tree)\n\n```diff\n@@ Coverage Diff @@\n## master #2994 +/- ##\n==========================================\n+ Coverage 77.16% 77.22% +0.06% \n==========================================\n Files 98 98 \n Lines 15999 15999 \n==========================================\n+ Hits 12345 12355 +10 \n+ Misses 3654 3644 -10\n```\n\n\n| [Impacted Files](https://codecov.io/gh/huggingface/transformers/pull/2994?src=pr&el=tree) | Coverage Δ | |\n|---|---|---|\n| [src/transformers/modeling\\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/2994/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ191dGlscy5weQ==) | `92.37% <0%> (+0.16%)` | :arrow_up: |\n| [src/transformers/pipelines.py](https://codecov.io/gh/huggingface/transformers/pull/2994/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9waXBlbGluZXMucHk=) | `71.64% <0%> (+0.75%)` | :arrow_up: |\n| [src/transformers/modeling\\_tf\\_auto.py](https://codecov.io/gh/huggingface/transformers/pull/2994/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9hdXRvLnB5) | `74.5% <0%> (+5.88%)` | :arrow_up: |\n\n------\n\n[Continue to review full report at Codecov](https://codecov.io/gh/huggingface/transformers/pull/2994?src=pr&el=continue).\n> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)\n> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`\n> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/2994?src=pr&el=footer). Last update [8194df8...0e7d609](https://codecov.io/gh/huggingface/transformers/pull/2994?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).\n", "@julien-c the TF_QA pipeline test currently fails with a segmentation error, and no way to debug it. We think it might be hardware related, hence the reduction in concurrency.", "I think you inadvertently re-added `run_all_tests_torch_and_tf` (which should not be here anymore)", "Maybe just mark the flaky test as `@slow`, and we'll see if it works more reliably on our own CI?", "oops, indeed, my bad. Alright, that works as well." ]

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[ "Hi! Indeed, there have been a few issues as this was the first release incorporating `tokenizers` by default. A new version of `tokenizers` and `transformers` will be available either today or tomorrow and should fix most of these.", "For future reference, when you say that some code \"fails\", please also provide the stack trace. This helps greatly when debugging.", "Thanks, stack trace provided...\r\nI just noticed that in Version 2.5.0, `AutoTokenizer.from_pretrained()` takes a new argument `use_fast`, and defaults it to `True`. This seems to be the reason for the error, because when I set it to `False`, the loaded model can be correctly saved by `save_pretrained()`. \r\nI wonder why this `use_fast` argument is added, and why it is default to `True`? ", "`use_fast` uses the `tokenizers` library which is a new, extremely fast implementation of different tokenizers. I agree that for the first few releases it might've been better to expose the argument but setting it to False by default as to catch errors only by early adopters. Now many errors are reported that could've otherwise been avoided. In the meantime, you can explicitly set it to False.", "For Tokenizers library: \r\n1, Where is the document about how to install and use it? The Readme is too brief...\r\n2, I understand that it is designed as a combination of various tokenizers. But to use a pre-trained model, is it better to use the original tokenizer to avoid subtle differences like special tokens? If so, the Transformers library should not use the tokenizers from Tokenizers library by default...", "`tokenizers` sits in its own repository. You can find it [here](https://github.com/huggingface/tokenizers) and its [Python](https://github.com/huggingface/tokenizers/tree/master/bindings/python) bindings here.\r\n\r\nI think that the fast tokenizers are tested to get the exact same output as the other ones.", "Thanks...\r\nIt seems that `tokenizers` has been installed together with `transformers` by `pip install transformers`? \r\nIn the future, will the tokenizer classes (e.g. BertTokenizer, AutoTokenizer, etc.) still be kept in the `transformers` library? Or they will be deprecated? ", "I cannot answer that, I don't know what the roadmap looks like.", "Install Python 64-bit instead of 32-bit solved my same issue.", "Which issue did you solved? \r\nI think 64-bit Python is almost used by everyone...", "1) This issue should be opened on [huggingface/tokenizers](https://github.com/huggingface/tokenizers) as it is an installation issue with the `huggingface/tokenizers` library.\r\n\r\n2) This issue is solved in the current master (and 2.5.1) as well.\r\n\r\n3) This is fixed in https://github.com/huggingface/transformers/pull/3198 which will be merged in a bit.", "i still have this prob, is anyone can tell me how to solve it?", "which problem?", "Still seeing the error \r\n```\r\n[libprotobuf FATAL /sentencepiece/src/../third_party/protobuf-lite/google/protobuf/repeated_field.h:1506] CHECK failed: (index) < (current_size_): \r\nterminate called after throwing an instance of 'google::protobuf::FatalException'\r\n what(): CHECK failed: (index) < (current_size_): \r\n```\r\nhow do I work around this?", "Hi @catyeo18, please provide the code that gets you this error, alongside the different versions of software you're using. Here's the [template](https://github.com/huggingface/transformers/issues/new?assignees=&labels=&template=bug-report.md&title=) for bug reports. Thank you." ]

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[ "# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/2991?src=pr&el=h1) Report\n> Merging [#2991](https://codecov.io/gh/huggingface/transformers/pull/2991?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/38f5fe9e0277df67a01db80a1c640ac072a2381e?src=pr&el=desc) will **decrease** coverage by `1.03%`.\n> The diff coverage is `n/a`.\n\n[](https://codecov.io/gh/huggingface/transformers/pull/2991?src=pr&el=tree)\n\n```diff\n@@ Coverage Diff @@\n## master #2991 +/- ##\n==========================================\n- Coverage 77.16% 76.12% -1.04% \n==========================================\n Files 98 98 \n Lines 15997 15997 \n==========================================\n- Hits 12344 12178 -166 \n- Misses 3653 3819 +166\n```\n\n\n| [Impacted Files](https://codecov.io/gh/huggingface/transformers/pull/2991?src=pr&el=tree) | Coverage Δ | |\n|---|---|---|\n| [src/transformers/modeling\\_tf\\_pytorch\\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/2991/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9weXRvcmNoX3V0aWxzLnB5) | `8.72% <0%> (-81.21%)` | :arrow_down: |\n| [src/transformers/modeling\\_roberta.py](https://codecov.io/gh/huggingface/transformers/pull/2991/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19yb2JlcnRhLnB5) | `85.71% <0%> (-10%)` | :arrow_down: |\n| [src/transformers/modeling\\_xlnet.py](https://codecov.io/gh/huggingface/transformers/pull/2991/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ194bG5ldC5weQ==) | `73.48% <0%> (-2.3%)` | :arrow_down: |\n| [src/transformers/modeling\\_ctrl.py](https://codecov.io/gh/huggingface/transformers/pull/2991/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19jdHJsLnB5) | `96.03% <0%> (-2.21%)` | :arrow_down: |\n| [src/transformers/modeling\\_openai.py](https://codecov.io/gh/huggingface/transformers/pull/2991/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19vcGVuYWkucHk=) | `80.2% <0%> (-1.35%)` | :arrow_down: |\n| [src/transformers/modeling\\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/2991/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ191dGlscy5weQ==) | `92.2% <0%> (-0.17%)` | :arrow_down: |\n\n------\n\n[Continue to review full report at Codecov](https://codecov.io/gh/huggingface/transformers/pull/2991?src=pr&el=continue).\n> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)\n> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`\n> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/2991?src=pr&el=footer). Last update [38f5fe9...57f312d](https://codecov.io/gh/huggingface/transformers/pull/2991?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).\n", "This looks good to me. Maybe we can make it a test? This might break some of the other examples as well I will check. " ]

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[ "Are you looking for this? https://github.com/huggingface/transformers/blob/master/examples/ner/run_ner.py", "On a (somewhat) related note: the code might still be there but on huggingface's webpage the following link doesn't point to anything: https://huggingface.co/transformers/examples.html#named-entity-recognition (there is no more an example of how to call the script)", "the example has been moved to https://github.com/huggingface/transformers/tree/master/examples/ner\r\n", "Thx Jonathan", "I found it here: https://github.com/huggingface/transformers/blob/master/examples/token-classification/run_ner.py\n\nThe NER has been renamed to Token Classification.\n" ]

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[ "# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/2989?src=pr&el=h1) Report\n> Merging [#2989](https://codecov.io/gh/huggingface/transformers/pull/2989?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/c913eb9c3894b4031dc059d22b42e38a5fcef989?src=pr&el=desc) will **increase** coverage by `<.01%`.\n> The diff coverage is `100%`.\n\n[](https://codecov.io/gh/huggingface/transformers/pull/2989?src=pr&el=tree)\n\n```diff\n@@ Coverage Diff @@\n## master #2989 +/- ##\n==========================================\n+ Coverage 77.26% 77.27% +<.01% \n==========================================\n Files 98 98 \n Lines 16040 16047 +7 \n==========================================\n+ Hits 12393 12400 +7 \n Misses 3647 3647\n```\n\n\n| [Impacted Files](https://codecov.io/gh/huggingface/transformers/pull/2989?src=pr&el=tree) | Coverage Δ | |\n|---|---|---|\n| [src/transformers/configuration\\_xlm.py](https://codecov.io/gh/huggingface/transformers/pull/2989/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9jb25maWd1cmF0aW9uX3hsbS5weQ==) | `96.22% <ø> (ø)` | :arrow_up: |\n| [src/transformers/configuration\\_gpt2.py](https://codecov.io/gh/huggingface/transformers/pull/2989/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9jb25maWd1cmF0aW9uX2dwdDIucHk=) | `97.05% <ø> (ø)` | :arrow_up: |\n| [src/transformers/modeling\\_bert.py](https://codecov.io/gh/huggingface/transformers/pull/2989/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19iZXJ0LnB5) | `88.16% <ø> (ø)` | :arrow_up: |\n| [src/transformers/tokenization\\_ctrl.py](https://codecov.io/gh/huggingface/transformers/pull/2989/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fY3RybC5weQ==) | `96.19% <ø> (ø)` | :arrow_up: |\n| [src/transformers/modeling\\_tf\\_bert.py](https://codecov.io/gh/huggingface/transformers/pull/2989/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9iZXJ0LnB5) | `96.05% <ø> (ø)` | :arrow_up: |\n| [src/transformers/tokenization\\_distilbert.py](https://codecov.io/gh/huggingface/transformers/pull/2989/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fZGlzdGlsYmVydC5weQ==) | `100% <ø> (ø)` | :arrow_up: |\n| [src/transformers/tokenization\\_flaubert.py](https://codecov.io/gh/huggingface/transformers/pull/2989/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fZmxhdWJlcnQucHk=) | `40.42% <ø> (ø)` | :arrow_up: |\n| [src/transformers/tokenization\\_openai.py](https://codecov.io/gh/huggingface/transformers/pull/2989/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fb3BlbmFpLnB5) | `82.5% <ø> (ø)` | :arrow_up: |\n| [src/transformers/configuration\\_flaubert.py](https://codecov.io/gh/huggingface/transformers/pull/2989/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9jb25maWd1cmF0aW9uX2ZsYXViZXJ0LnB5) | `100% <ø> (ø)` | :arrow_up: |\n| [src/transformers/tokenization\\_gpt2.py](https://codecov.io/gh/huggingface/transformers/pull/2989/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fZ3B0Mi5weQ==) | `96.87% <ø> (ø)` | :arrow_up: |\n| ... and [9 more](https://codecov.io/gh/huggingface/transformers/pull/2989/diff?src=pr&el=tree-more) | |\n\n------\n\n[Continue to review full report at Codecov](https://codecov.io/gh/huggingface/transformers/pull/2989?src=pr&el=continue).\n> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)\n> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`\n> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/2989?src=pr&el=footer). Last update [c913eb9...b393150](https://codecov.io/gh/huggingface/transformers/pull/2989?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).\n" ]

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[ "# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/2988?src=pr&el=h1) Report\n> Merging [#2988](https://codecov.io/gh/huggingface/transformers/pull/2988?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/38f5fe9e0277df67a01db80a1c640ac072a2381e?src=pr&el=desc) will **decrease** coverage by `1.05%`.\n> The diff coverage is `100%`.\n\n[](https://codecov.io/gh/huggingface/transformers/pull/2988?src=pr&el=tree)\n\n```diff\n@@ Coverage Diff @@\n## master #2988 +/- ##\n==========================================\n- Coverage 77.16% 76.11% -1.06% \n==========================================\n Files 98 98 \n Lines 15997 15997 \n==========================================\n- Hits 12344 12176 -168 \n- Misses 3653 3821 +168\n```\n\n\n| [Impacted Files](https://codecov.io/gh/huggingface/transformers/pull/2988?src=pr&el=tree) | Coverage Δ | |\n|---|---|---|\n| [src/transformers/activations.py](https://codecov.io/gh/huggingface/transformers/pull/2988/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9hY3RpdmF0aW9ucy5weQ==) | `75% <100%> (-12.5%)` | :arrow_down: |\n| [src/transformers/modeling\\_tf\\_pytorch\\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/2988/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9weXRvcmNoX3V0aWxzLnB5) | `8.72% <0%> (-81.21%)` | :arrow_down: |\n| [src/transformers/modeling\\_roberta.py](https://codecov.io/gh/huggingface/transformers/pull/2988/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19yb2JlcnRhLnB5) | `85.71% <0%> (-10%)` | :arrow_down: |\n| [src/transformers/modeling\\_xlnet.py](https://codecov.io/gh/huggingface/transformers/pull/2988/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ194bG5ldC5weQ==) | `73.48% <0%> (-2.3%)` | :arrow_down: |\n| [src/transformers/modeling\\_ctrl.py](https://codecov.io/gh/huggingface/transformers/pull/2988/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19jdHJsLnB5) | `96.03% <0%> (-2.21%)` | :arrow_down: |\n| [src/transformers/modeling\\_openai.py](https://codecov.io/gh/huggingface/transformers/pull/2988/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19vcGVuYWkucHk=) | `80.2% <0%> (-1.35%)` | :arrow_down: |\n| [src/transformers/modeling\\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/2988/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ191dGlscy5weQ==) | `92.2% <0%> (-0.17%)` | :arrow_down: |\n\n------\n\n[Continue to review full report at Codecov](https://codecov.io/gh/huggingface/transformers/pull/2988?src=pr&el=continue).\n> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)\n> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`\n> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/2988?src=pr&el=footer). Last update [38f5fe9...7e91273](https://codecov.io/gh/huggingface/transformers/pull/2988?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).\n", "Any reason why the other activation functions (swish, _gelu_python) do not need jit? (I have no experience with JIT, so this is a genuine question. When should jit.script be used, and when shouldn't it?)", "Indeed, it's possible to wrap both activations you mentioned with torch.jit; in case of `_gelu_python` it's likely to yield similar reduction in execution time. I will come back with benchmarking results and, if you think it's a good idea, will add JIT compilation to this PR. \r\n\r\nAnswering your question on use of `jit.script`: it usually makes sense to optimize functions with many elementwise ops, as they tend to get fused into a single kernel, which eliminates unnecessary memory accesses. There are other advantages, e.g. removing Python overhead and lifting GIL as a result; if you're interested, [this tutorial](https://pytorch.org/blog/optimizing-cuda-rnn-with-torchscript/) and [this blogpost](http://blog.christianperone.com/2018/10/pytorch-1-0-tracing-jit-and-libtorch-c-api-to-integrate-pytorch-into-nodejs/) give a good overview of underlying optimizations. \r\n\r\nTL;DR: `jit.script` useful when you have TorchScript-friendly functions/modules with lots of custom PyTorch code; if your code uses unsupported Python features, you either leave it be or use torch.jit.trace.\r\n\r\nTalking of `swish`, there is something I'd like to mention: its current implementation can be made more memory-efficient (see [this](https://github.com/lukemelas/EfficientNet-PyTorch/pull/88) and [this](https://medium.com/the-artificial-impostor/more-memory-efficient-swish-activation-function-e07c22c12a76)) at the cost of losing `torch.jit`/`torch.onnx` support. Not sure if swish will benefit much from JIT compilation — would memory savings be useful then?", "Here's the results for both activations (done on 1080Ti, I've updated the gist with two scripts):\r\n\r\n_gelu_python\r\n```torch.float32 (32, 128) gelu 1.8e-04 3.6e-04 jit 1.1e-04 1.7e-04 speedup forward 1.73 backward 2.12\r\ntorch.float32 (32, 512) gelu 1.9e-04 3.7e-04 jit 7.0e-05 1.6e-04 speedup forward 2.69 backward 2.36\r\ntorch.float32 (32, 1024) gelu 1.9e-04 3.7e-04 jit 6.9e-05 1.6e-04 speedup forward 2.71 backward 2.33\r\ntorch.float32 (32, 4096) gelu 1.8e-04 3.6e-04 jit 6.9e-05 1.6e-04 speedup forward 2.66 backward 2.29\r\ntorch.float32 (256, 128) gelu 1.9e-04 3.6e-04 jit 7.0e-05 1.6e-04 speedup forward 2.66 backward 2.30\r\ntorch.float32 (256, 512) gelu 1.8e-04 3.6e-04 jit 6.9e-05 1.6e-04 speedup forward 2.65 backward 2.31\r\ntorch.float32 (256, 1024) gelu 1.8e-04 3.6e-04 jit 6.9e-05 1.6e-04 speedup forward 2.67 backward 2.30\r\ntorch.float32 (256, 4096) gelu 1.7e-04 3.6e-04 jit 9.8e-05 1.5e-04 speedup forward 1.74 backward 2.33\r\ntorch.float32 (1024, 128) gelu 1.8e-04 3.6e-04 jit 6.9e-05 1.6e-04 speedup forward 2.67 backward 2.30\r\ntorch.float32 (1024, 512) gelu 1.9e-04 3.6e-04 jit 7.3e-05 1.6e-04 speedup forward 2.55 backward 2.34\r\ntorch.float32 (1024, 1024) gelu 1.7e-04 3.5e-04 jit 9.9e-05 1.6e-04 speedup forward 1.74 backward 2.29\r\ntorch.float32 (1024, 4096) gelu 5.1e-04 1.1e-03 jit 3.1e-04 2.9e-04 speedup forward 1.65 backward 3.78\r\ntorch.float32 (8192, 128) gelu 1.7e-04 3.6e-04 jit 1.0e-04 1.5e-04 speedup forward 1.74 backward 2.30\r\ntorch.float32 (8192, 512) gelu 5.1e-04 1.1e-03 jit 3.1e-04 2.9e-04 speedup forward 1.65 backward 3.78\r\ntorch.float32 (8192, 1024) gelu 9.8e-04 2.1e-03 jit 6.1e-04 4.6e-04 speedup forward 1.61 backward 4.43\r\ntorch.float32 (8192, 4096) gelu 3.8e-03 8.1e-03 jit 2.6e-03 1.9e-03 speedup forward 1.46 backward 4.15\r\ntorch.float16 (32, 128) gelu 1.9e-04 3.6e-04 jit 9.6e-05 1.8e-04 speedup forward 1.94 backward 1.98\r\ntorch.float16 (32, 512) gelu 1.8e-04 3.6e-04 jit 6.8e-05 1.5e-04 speedup forward 2.73 backward 2.38\r\ntorch.float16 (32, 1024) gelu 1.9e-04 3.6e-04 jit 7.0e-05 1.6e-04 speedup forward 2.66 backward 2.28\r\ntorch.float16 (32, 4096) gelu 1.9e-04 3.6e-04 jit 6.9e-05 1.6e-04 speedup forward 2.68 backward 2.33\r\ntorch.float16 (256, 128) gelu 1.9e-04 3.6e-04 jit 7.0e-05 1.6e-04 speedup forward 2.66 backward 2.29\r\ntorch.float16 (256, 512) gelu 1.9e-04 3.6e-04 jit 6.9e-05 1.6e-04 speedup forward 2.67 backward 2.30\r\ntorch.float16 (256, 1024) gelu 1.9e-04 3.7e-04 jit 7.0e-05 1.6e-04 speedup forward 2.68 backward 2.31\r\ntorch.float16 (256, 4096) gelu 1.9e-04 3.7e-04 jit 7.4e-05 1.5e-04 speedup forward 2.56 backward 2.43\r\ntorch.float16 (1024, 128) gelu 1.9e-04 3.6e-04 jit 6.9e-05 1.6e-04 speedup forward 2.67 backward 2.28\r\ntorch.float16 (1024, 512) gelu 1.9e-04 3.6e-04 jit 6.9e-05 1.6e-04 speedup forward 2.69 backward 2.30\r\ntorch.float16 (1024, 1024) gelu 1.9e-04 3.7e-04 jit 7.4e-05 1.5e-04 speedup forward 2.56 backward 2.40\r\ntorch.float16 (1024, 4096) gelu 3.3e-04 8.1e-04 jit 2.1e-04 2.3e-04 speedup forward 1.62 backward 3.50\r\ntorch.float16 (8192, 128) gelu 1.9e-04 3.7e-04 jit 7.4e-05 1.6e-04 speedup forward 2.56 backward 2.34\r\ntorch.float16 (8192, 512) gelu 3.4e-04 8.1e-04 jit 2.1e-04 2.3e-04 speedup forward 1.62 backward 3.51\r\ntorch.float16 (8192, 1024) gelu 6.3e-04 1.5e-03 jit 4.5e-04 3.7e-04 speedup forward 1.39 backward 4.06\r\ntorch.float16 (8192, 4096) gelu 2.5e-03 5.9e-03 jit 2.2e-03 1.5e-03 speedup forward 1.11 backward 3.93\r\n```\r\n\r\nswish\r\n\r\n```\r\ntorch.float32 (32, 128) swish 5.9e-05 1.8e-04 jit 1.0e-04 1.8e-04 speedup forward 0.59 backward 1.01\r\ntorch.float32 (32, 512) swish 5.8e-05 1.8e-04 jit 5.4e-05 1.4e-04 speedup forward 1.08 backward 1.30\r\ntorch.float32 (32, 1024) swish 5.8e-05 1.8e-04 jit 5.4e-05 1.4e-04 speedup forward 1.08 backward 1.31\r\ntorch.float32 (32, 4096) swish 5.9e-05 1.8e-04 jit 5.4e-05 1.4e-04 speedup forward 1.08 backward 1.33\r\ntorch.float32 (256, 128) swish 5.8e-05 1.8e-04 jit 5.4e-05 1.4e-04 speedup forward 1.08 backward 1.33\r\ntorch.float32 (256, 512) swish 5.9e-05 1.8e-04 jit 5.4e-05 1.3e-04 speedup forward 1.09 backward 1.36\r\ntorch.float32 (256, 1024) swish 5.9e-05 1.8e-04 jit 5.4e-05 1.4e-04 speedup forward 1.09 backward 1.32\r\ntorch.float32 (256, 4096) swish 8.6e-05 2.2e-04 jit 7.4e-05 1.4e-04 speedup forward 1.17 backward 1.57\r\ntorch.float32 (1024, 128) swish 5.8e-05 1.8e-04 jit 5.5e-05 1.4e-04 speedup forward 1.07 backward 1.28\r\ntorch.float32 (1024, 512) swish 6.7e-05 1.9e-04 jit 5.6e-05 1.4e-04 speedup forward 1.20 backward 1.31\r\ntorch.float32 (1024, 1024) swish 8.6e-05 2.2e-04 jit 7.4e-05 1.4e-04 speedup forward 1.17 backward 1.56\r\ntorch.float32 (1024, 4096) swish 2.6e-04 5.8e-04 jit 2.0e-04 2.4e-04 speedup forward 1.33 backward 2.39\r\ntorch.float32 (8192, 128) swish 8.8e-05 2.2e-04 jit 7.4e-05 1.4e-04 speedup forward 1.18 backward 1.63\r\ntorch.float32 (8192, 512) swish 2.6e-04 5.7e-04 jit 2.0e-04 2.4e-04 speedup forward 1.34 backward 2.36\r\ntorch.float32 (8192, 1024) swish 4.9e-04 1.0e-03 jit 3.7e-04 3.9e-04 speedup forward 1.32 backward 2.69\r\ntorch.float32 (8192, 4096) swish 1.9e-03 4.1e-03 jit 1.5e-03 1.6e-03 speedup forward 1.25 backward 2.56\r\ntorch.float16 (32, 128) swish 5.8e-05 1.8e-04 jit 9.5e-05 1.7e-04 speedup forward 0.62 backward 1.06\r\ntorch.float16 (32, 512) swish 5.8e-05 1.8e-04 jit 5.4e-05 1.3e-04 speedup forward 1.09 backward 1.35\r\ntorch.float16 (32, 1024) swish 5.9e-05 1.8e-04 jit 5.4e-05 1.3e-04 speedup forward 1.10 backward 1.32\r\ntorch.float16 (32, 4096) swish 5.9e-05 1.8e-04 jit 5.4e-05 1.4e-04 speedup forward 1.10 backward 1.30\r\ntorch.float16 (256, 128) swish 5.8e-05 1.8e-04 jit 5.3e-05 1.3e-04 speedup forward 1.09 backward 1.33\r\ntorch.float16 (256, 512) swish 5.9e-05 1.8e-04 jit 5.4e-05 1.4e-04 speedup forward 1.10 backward 1.29\r\ntorch.float16 (256, 1024) swish 5.9e-05 1.8e-04 jit 5.4e-05 1.4e-04 speedup forward 1.09 backward 1.30\r\ntorch.float16 (256, 4096) swish 7.5e-05 1.8e-04 jit 8.1e-05 1.4e-04 speedup forward 0.93 backward 1.31\r\ntorch.float16 (1024, 128) swish 5.9e-05 1.8e-04 jit 5.4e-05 1.4e-04 speedup forward 1.10 backward 1.29\r\ntorch.float16 (1024, 512) swish 5.9e-05 1.8e-04 jit 5.9e-05 1.4e-04 speedup forward 1.00 backward 1.30\r\ntorch.float16 (1024, 1024) swish 7.3e-05 1.8e-04 jit 8.1e-05 1.4e-04 speedup forward 0.91 backward 1.30\r\ntorch.float16 (1024, 4096) swish 2.1e-04 4.3e-04 jit 2.1e-04 2.1e-04 speedup forward 0.99 backward 2.08\r\ntorch.float16 (8192, 128) swish 7.4e-05 1.8e-04 jit 8.1e-05 1.3e-04 speedup forward 0.91 backward 1.37\r\ntorch.float16 (8192, 512) swish 2.1e-04 4.2e-04 jit 2.1e-04 2.1e-04 speedup forward 0.99 backward 2.03\r\ntorch.float16 (8192, 1024) swish 3.8e-04 7.5e-04 jit 3.7e-04 3.0e-04 speedup forward 1.02 backward 2.47\r\ntorch.float16 (8192, 4096) swish 1.4e-03 2.8e-03 jit 1.4e-03 1.1e-03 speedup forward 1.06 backward 2.60\r\n```", "Same benchmarks on RTX 2080Ti:\r\n\r\n_python_gelu\r\n```\r\ntorch.float32 (32, 128) gelu 2.1e-04 5.9e-04 jit 1.2e-04 2.2e-04 speedup forward 1.79 backward 2.63\r\ntorch.float32 (32, 512) gelu 2.3e-04 6.0e-04 jit 6.5e-05 1.6e-04 speedup forward 3.59 backward 3.76\r\ntorch.float32 (32, 1024) gelu 2.3e-04 5.8e-04 jit 6.4e-05 1.6e-04 speedup forward 3.54 backward 3.73\r\ntorch.float32 (32, 4096) gelu 1.7e-04 3.3e-04 jit 6.2e-05 1.4e-04 speedup forward 2.65 backward 2.38\r\ntorch.float32 (256, 128) gelu 1.7e-04 3.6e-04 jit 6.6e-05 1.9e-04 speedup forward 2.59 backward 1.94\r\ntorch.float32 (256, 512) gelu 2.5e-04 6.7e-04 jit 6.7e-05 2.0e-04 speedup forward 3.71 backward 3.34\r\ntorch.float32 (256, 1024) gelu 2.3e-04 6.1e-04 jit 6.6e-05 1.9e-04 speedup forward 3.41 backward 3.25\r\ntorch.float32 (256, 4096) gelu 2.1e-04 5.3e-04 jit 9.2e-05 2.0e-04 speedup forward 2.33 backward 2.64\r\ntorch.float32 (1024, 128) gelu 2.1e-04 5.0e-04 jit 6.5e-05 1.9e-04 speedup forward 3.25 backward 2.70\r\ntorch.float32 (1024, 512) gelu 2.2e-04 5.2e-04 jit 6.7e-05 1.8e-04 speedup forward 3.21 backward 2.91\r\ntorch.float32 (1024, 1024) gelu 2.4e-04 6.1e-04 jit 9.2e-05 2.0e-04 speedup forward 2.56 backward 3.06\r\ntorch.float32 (1024, 4096) gelu 4.0e-04 9.3e-04 jit 2.7e-04 3.6e-04 speedup forward 1.44 backward 2.58\r\ntorch.float32 (8192, 128) gelu 2.3e-04 5.7e-04 jit 9.4e-05 2.2e-04 speedup forward 2.44 backward 2.63\r\ntorch.float32 (8192, 512) gelu 4.0e-04 9.3e-04 jit 2.7e-04 3.4e-04 speedup forward 1.47 backward 2.76\r\ntorch.float32 (8192, 1024) gelu 7.4e-04 1.6e-03 jit 5.5e-04 4.8e-04 speedup forward 1.36 backward 3.42\r\ntorch.float32 (8192, 4096) gelu 2.8e-03 5.8e-03 jit 2.2e-03 1.3e-03 speedup forward 1.26 backward 4.55\r\ntorch.float16 (32, 128) gelu 2.4e-04 6.7e-04 jit 1.1e-04 2.0e-04 speedup forward 2.16 backward 3.29\r\ntorch.float16 (32, 512) gelu 2.4e-04 5.0e-04 jit 7.6e-05 1.8e-04 speedup forward 3.11 backward 2.80\r\ntorch.float16 (32, 1024) gelu 2.1e-04 5.4e-04 jit 6.4e-05 1.8e-04 speedup forward 3.31 backward 3.03\r\ntorch.float16 (32, 4096) gelu 2.2e-04 5.7e-04 jit 6.5e-05 1.9e-04 speedup forward 3.40 backward 3.04\r\ntorch.float16 (256, 128) gelu 2.1e-04 5.3e-04 jit 7.1e-05 2.0e-04 speedup forward 2.93 backward 2.61\r\ntorch.float16 (256, 512) gelu 2.2e-04 4.8e-04 jit 7.9e-05 2.1e-04 speedup forward 2.83 backward 2.27\r\ntorch.float16 (256, 1024) gelu 2.2e-04 5.8e-04 jit 6.4e-05 1.8e-04 speedup forward 3.35 backward 3.28\r\ntorch.float16 (256, 4096) gelu 1.9e-04 4.5e-04 jit 6.5e-05 1.6e-04 speedup forward 2.93 backward 2.85\r\ntorch.float16 (1024, 128) gelu 1.9e-04 4.5e-04 jit 6.4e-05 1.7e-04 speedup forward 2.99 backward 2.73\r\ntorch.float16 (1024, 512) gelu 1.9e-04 4.4e-04 jit 5.9e-05 1.5e-04 speedup forward 3.18 backward 2.97\r\ntorch.float16 (1024, 1024) gelu 2.1e-04 5.2e-04 jit 6.5e-05 1.6e-04 speedup forward 3.16 backward 3.23\r\ntorch.float16 (1024, 4096) gelu 2.8e-04 6.4e-04 jit 1.5e-04 2.4e-04 speedup forward 1.83 backward 2.60\r\ntorch.float16 (8192, 128) gelu 2.1e-04 5.4e-04 jit 6.4e-05 1.8e-04 speedup forward 3.27 backward 2.96\r\ntorch.float16 (8192, 512) gelu 2.8e-04 6.7e-04 jit 1.5e-04 2.4e-04 speedup forward 1.83 backward 2.79\r\ntorch.float16 (8192, 1024) gelu 4.8e-04 1.1e-03 jit 3.0e-04 3.5e-04 speedup forward 1.57 backward 3.03\r\ntorch.float16 (8192, 4096) gelu 1.8e-03 3.4e-03 jit 1.5e-03 8.8e-04 speedup forward 1.14 backward 3.91\r\n```\r\n\r\nswish\r\n```\r\ntorch.float32 (32, 128) swish 7.5e-05 2.6e-04 jit 1.1e-04 2.0e-04 speedup forward 0.71 backward 1.32\r\ntorch.float32 (32, 512) swish 7.5e-05 2.6e-04 jit 5.8e-05 1.7e-04 speedup forward 1.31 backward 1.57\r\ntorch.float32 (32, 1024) swish 7.2e-05 2.5e-04 jit 5.8e-05 1.6e-04 speedup forward 1.24 backward 1.50\r\ntorch.float32 (32, 4096) swish 7.1e-05 2.6e-04 jit 6.1e-05 1.9e-04 speedup forward 1.17 backward 1.38\r\ntorch.float32 (256, 128) swish 7.2e-05 2.5e-04 jit 5.7e-05 1.7e-04 speedup forward 1.26 backward 1.50\r\ntorch.float32 (256, 512) swish 7.4e-05 2.7e-04 jit 5.9e-05 1.8e-04 speedup forward 1.25 backward 1.55\r\ntorch.float32 (256, 1024) swish 7.3e-05 2.6e-04 jit 6.2e-05 2.0e-04 speedup forward 1.18 backward 1.35\r\ntorch.float32 (256, 4096) swish 8.5e-05 2.7e-04 jit 6.5e-05 1.6e-04 speedup forward 1.31 backward 1.75\r\ntorch.float32 (1024, 128) swish 7.4e-05 2.7e-04 jit 5.8e-05 1.8e-04 speedup forward 1.27 backward 1.47\r\ntorch.float32 (1024, 512) swish 7.5e-05 2.8e-04 jit 6.4e-05 2.2e-04 speedup forward 1.16 backward 1.29\r\ntorch.float32 (1024, 1024) swish 9.2e-05 3.3e-04 jit 7.0e-05 2.1e-04 speedup forward 1.32 backward 1.59\r\ntorch.float32 (1024, 4096) swish 1.9e-04 5.7e-04 jit 1.6e-04 2.7e-04 speedup forward 1.24 backward 2.10\r\ntorch.float32 (8192, 128) swish 9.1e-05 3.2e-04 jit 7.2e-05 2.0e-04 speedup forward 1.26 backward 1.54\r\ntorch.float32 (8192, 512) swish 1.9e-04 5.5e-04 jit 1.6e-04 2.7e-04 speedup forward 1.20 backward 2.03\r\ntorch.float32 (8192, 1024) swish 3.5e-04 8.8e-04 jit 3.2e-04 3.9e-04 speedup forward 1.09 backward 2.24\r\ntorch.float32 (8192, 4096) swish 1.3e-03 2.7e-03 jit 1.3e-03 1.0e-03 speedup forward 0.99 backward 2.62\r\ntorch.float16 (32, 128) swish 7.0e-05 2.5e-04 jit 1.0e-04 2.1e-04 speedup forward 0.69 backward 1.18\r\ntorch.float16 (32, 512) swish 6.9e-05 2.4e-04 jit 6.6e-05 1.8e-04 speedup forward 1.05 backward 1.38\r\ntorch.float16 (32, 1024) swish 7.0e-05 2.4e-04 jit 6.0e-05 1.7e-04 speedup forward 1.18 backward 1.43\r\ntorch.float16 (32, 4096) swish 6.9e-05 2.5e-04 jit 6.0e-05 1.8e-04 speedup forward 1.14 backward 1.37\r\ntorch.float16 (256, 128) swish 6.5e-05 2.4e-04 jit 5.8e-05 1.6e-04 speedup forward 1.12 backward 1.48\r\ntorch.float16 (256, 512) swish 7.1e-05 2.6e-04 jit 6.0e-05 1.8e-04 speedup forward 1.20 backward 1.41\r\ntorch.float16 (256, 1024) swish 6.8e-05 2.5e-04 jit 6.0e-05 1.8e-04 speedup forward 1.14 backward 1.37\r\ntorch.float16 (256, 4096) swish 7.1e-05 2.5e-04 jit 9.7e-05 2.1e-04 speedup forward 0.73 backward 1.20\r\ntorch.float16 (1024, 128) swish 7.0e-05 2.5e-04 jit 6.0e-05 1.8e-04 speedup forward 1.17 backward 1.42\r\ntorch.float16 (1024, 512) swish 7.2e-05 2.6e-04 jit 6.8e-05 1.7e-04 speedup forward 1.06 backward 1.49\r\ntorch.float16 (1024, 1024) swish 6.7e-05 2.4e-04 jit 9.7e-05 2.1e-04 speedup forward 0.69 backward 1.14\r\ntorch.float16 (1024, 4096) swish 1.3e-04 3.6e-04 jit 1.9e-04 1.8e-04 speedup forward 0.69 backward 1.98\r\ntorch.float16 (8192, 128) swish 7.0e-05 2.4e-04 jit 9.7e-05 1.9e-04 speedup forward 0.73 backward 1.26\r\ntorch.float16 (8192, 512) swish 1.3e-04 3.5e-04 jit 1.9e-04 2.2e-04 speedup forward 0.66 backward 1.62\r\ntorch.float16 (8192, 1024) swish 2.1e-04 5.7e-04 jit 3.5e-04 3.1e-04 speedup forward 0.62 backward 1.82\r\ntorch.float16 (8192, 4096) swish 7.6e-04 1.6e-03 jit 1.3e-03 7.2e-04 speedup forward 0.60 backward 2.17\r\n```\r\n\r\nSeems like it makes sense to compile _python_gelu, and for swish the benefits are negligible", "We only use _gelu_python for torch < 1.4. \r\nMy only concern with this PR is that it will break in early pytorch versions or on CPU or something, can you test it under those circumstances?", "I've tested the current implementation with pytorch==1.0.0 on CPU, and it indeed breaks because torch.jit did not support python floats at that time. I have two possible solutions for this, @sshleifer what will be the best one?\r\n\r\nFirst: slightly modify gelu_python and gelu_new to be backwards-compatible\r\n```\r\[email protected]\r\ndef jit_gelu_python(x):\r\n \"\"\" Original Implementation of the gelu activation function in Google Bert repo when initially created.\r\n For information: OpenAI GPT's gelu is slightly different (and gives slightly different results):\r\n 0.5 * x * (1 + torch.tanh(math.sqrt(2 / math.pi) * (x + 0.044715 * torch.pow(x, 3))))\r\n This is now written in C in torch.nn.functional\r\n Also see https://arxiv.org/abs/1606.08415\r\n \"\"\"\r\n gelu_const = torch.sqrt(torch.full((), 2.0, dtype=x.dtype, device=x.device))\r\n return x * 0.5 * (1.0 + torch.erf(x / gelu_const))\r\n\r\[email protected]\r\ndef jit_gelu(x):\r\n \"\"\" Implementation of the gelu activation function currently in Google Bert repo (identical to OpenAI GPT).\r\n Also see https://arxiv.org/abs/1606.08415\r\n \"\"\"\r\n gelu_const = torch.sqrt(torch.full((), 2.0/math.pi, dtype=x.dtype, device=x.device))\r\n return 0.5 * x * (1 + torch.tanh(gelu_const * (x + 0.044715 * torch.pow(x, 3))))\r\n```\r\n\r\nSecond: use torch.jit.script only with pytorch>1.4.0. We won't need to wrap `gelu`, as it already has a native implementation, and for `gelu_new` we'll add a single check.\r\n", "I've changed the PR so that gelu_new gets JIT-compiled only on pytorch>=1.4. Benchmarking resuts are the same with 3-4x faster forward and 3x faster backward for this activation (although no speedup on CPU float32). @sshleifer is it ready to be merged now?", "In my opinion, yes. LGTM. \r\n@LysandreJik @julien-c this is a backwards compatible speedup. \r\n", "Hello! Unfortunately, we'll have to [revert this PR](https://github.com/huggingface/transformers/pull/4050) as jitting an activation function prevents the model from being pickled.\r\n\r\nThis has already been an issue in several cases:\r\n- For TPU support, the models should be serializable. https://github.com/huggingface/transformers/pull/3743\r\n- For ONNX support (@mfuntowicz, @thomwolf)\r\n- For Pytorch-Lightning https://github.com/huggingface/transformers/issues/4038#issuecomment-620624613\r\n\r\nNonetheless, thank you for your contribution and for such a detailed study of what was to be gained from it." ]

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[ "# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/2987?src=pr&el=h1) Report\n> Merging [#2987](https://codecov.io/gh/huggingface/transformers/pull/2987?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/129f0604acb9e8b9cebd2897437324198fa37a0a?src=pr&el=desc) will **increase** coverage by `0.01%`.\n> The diff coverage is `91.66%`.\n\n[](https://codecov.io/gh/huggingface/transformers/pull/2987?src=pr&el=tree)\n\n```diff\n@@ Coverage Diff @@\n## master #2987 +/- ##\n==========================================\n+ Coverage 77.17% 77.18% +0.01% \n==========================================\n Files 98 98 \n Lines 15997 16009 +12 \n==========================================\n+ Hits 12345 12356 +11 \n- Misses 3652 3653 +1\n```\n\n\n| [Impacted Files](https://codecov.io/gh/huggingface/transformers/pull/2987?src=pr&el=tree) | Coverage Δ | |\n|---|---|---|\n| [src/transformers/tokenization\\_transfo\\_xl.py](https://codecov.io/gh/huggingface/transformers/pull/2987/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fdHJhbnNmb194bC5weQ==) | `39.8% <91.66%> (+1.57%)` | :arrow_up: |\n\n------\n\n[Continue to review full report at Codecov](https://codecov.io/gh/huggingface/transformers/pull/2987?src=pr&el=continue).\n> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)\n> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`\n> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/2987?src=pr&el=footer). Last update [129f060...e0a9fd2](https://codecov.io/gh/huggingface/transformers/pull/2987?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).\n", "Good to be merged then, I think!", "Using this new preprocessing step, what is the proper way to format a paragraph of text so that it will work as a prompt for XLNet? Just a few lines of code as an example would make it clear to me, I think. \r\n\r\nThe \"padding text\" in the example contains sentences with punctuation not separated by spaces. At the end of the text is \"\\<eod\\> \\</s\\> \\<eos\\>\" Shouldn't I include a \\<eos\\> after every sentence, by hand? If not and it can be done automatically, how do you avoid things like Mr. or Dr. that end in periods but don't end the sentence? \r\n\r\nThanks.\r\n", "Hi @summerstay, this preprocessing step is only necessary for Transfo-XL Net. For XLNet, you don't need to separate the text. Try out this code to see what I mean:\r\n\r\n```\r\ndef show_tokenization(text, model_name):\r\n tok = AutoTokenizer.from_pretrained(model_name)\r\n print(tok.decode(tok.encode(text, add_special_tokens=False)))\r\n\r\n\r\nshow_tokenization('This is an example. See what happens with, and. ?', 'transfo-xl-wt103')\r\nshow_tokenization('This is an example. See what happens with, and. ?', 'xlnet-base-cased')\r\n\r\n# prints:\r\n# You might want to consider setting `add_space_before_punct_symbol=True` as an argument to the `tokenizer.encode()` to avoid tokenizing words with punctuation symbols to the `<unk>` token\r\n# This is an <unk> See what happens <unk> <unk>?\r\n# This is an example. See what happens with, and.?\r\n```\r\n" ]

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[ "Hi there. A few weeks or months ago, I wrote this notebook to introduce my colleagues to doing inference on LMs. In other words: how can I get a sentence representation out of them. You can have a look [here](https://github.com/BramVanroy/bert-for-inference/blob/master/introduction-to-bert.ipynb). It should be self-explanatory.", "Hey @zjplab, for sentence embeddings, I'd recommend this library https://github.com/UKPLab/sentence-transformers along with their paper. They explain how they get their sentence embeddings as well as the pros and cons to several different methods of doing it. They have embeddings for bert/roberta and many more", "There's also spaCy's wrapper of transformers [spacy-transformers](https://github.com/explosion/spacy-transformers). Can compare sentences to each other, and access sentence embeddings:\r\n\r\n[examples/Spacy_Transformers_Demo.ipynb](https://github.com/explosion/spacy-transformers/blob/master/examples/Spacy_Transformers_Demo.ipynb)\r\n```python\r\n# $ pip install spacy-transformers\r\n# $ python -m spacy download en_trf_bertbaseuncased_lg\r\n\r\nimport spacy\r\nnlp = spacy.load(\"en_trf_bertbaseuncased_lg\")\r\napple1 = nlp(\"Apple shares rose on the news.\")\r\napple2 = nlp(\"Apple sold fewer iPhones this quarter.\")\r\napple3 = nlp(\"Apple pie is delicious.\")\r\n\r\n# sentence similarity\r\nprint(apple1.similarity(apple2)) #0.69861203\r\nprint(apple1.similarity(apple3)) #0.5404963\r\n\r\n# sentence embeddings\r\napple1.vector # or apple1.tensor.sum(axis=0)\r\n```\r\n\r\nI'm fairly confident `apple1.vector` is the sentence embedding, but someone will want to double-check.\r\n\r\n[Edit] spacy-transformers currenty requires transformers==2.0.0, which is pretty far behind. It also doesn't let you embed batches (one sentence at a time). I'm gonna use UKPLab/sentence-transformers, personally.", "> There's also spaCy's wrapper of transformers [spacy-transformers](https://github.com/explosion/spacy-transformers). Can compare sentences to each other, and access sentence embeddings:\r\n> \r\n> [examples/Spacy_Transformers_Demo.ipynb](https://github.com/explosion/spacy-transformers/blob/master/examples/Spacy_Transformers_Demo.ipynb)\r\n> \r\n> ```python\r\n> # $ pip install spacy-transformers\r\n> # $ python -m spacy download en_trf_bertbaseuncased_lg\r\n> \r\n> import spacy\r\n> nlp = spacy.load(\"en_trf_bertbaseuncased_lg\")\r\n> apple1 = nlp(\"Apple shares rose on the news.\")\r\n> apple2 = nlp(\"Apple sold fewer iPhones this quarter.\")\r\n> apple3 = nlp(\"Apple pie is delicious.\")\r\n> \r\n> # sentence similarity\r\n> print(apple1.similarity(apple2)) #0.69861203\r\n> print(apple1.similarity(apple3)) #0.5404963\r\n> \r\n> # sentence embeddings\r\n> apple1.vector # or apple1.tensor.sum(axis=0)\r\n> ```\r\n> \r\n> I'm fairly confident `apple1.vector` is the sentence embedding, but someone will want to double-check.\r\n> \r\n> [Edit] spacy-transformers currenty requires transformers==2.0.0, which is pretty far behind. It also doesn't let you embed batches (one sentence at a time). I'm gonna use UKPLab/sentence-transformers, personally.\r\n\r\nIs there any way to compare a contextualized word embedding with a word embedding? Let's say I have a sentence \"Apples are delicious\" and I want to compare the similarity of the contextualized word \"apples\" against words such as \"fruit\" or \"company\". Is there any way to do so with transformers like BERT that could deliver reliable numbers? Thanks in advance.\r\n", "This one seems to do the job too: [https://github.com/ashokc/Bow-to-Bert](https://github.com/ashokc/Bow-to-Bert), accompanied with this blog post [http://xplordat.com/2019/09/23/bow-to-bert/](http://xplordat.com/2019/09/23/bow-to-bert/)" ]

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[ "Seems related to #2694", "Indeed! I fixed the misleading documentation with #2998." ]

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[ "# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/2984?src=pr&el=h1) Report\n> Merging [#2984](https://codecov.io/gh/huggingface/transformers/pull/2984?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/129f0604acb9e8b9cebd2897437324198fa37a0a?src=pr&el=desc) will **not change** coverage.\n> The diff coverage is `n/a`.\n\n[](https://codecov.io/gh/huggingface/transformers/pull/2984?src=pr&el=tree)\n\n```diff\n@@ Coverage Diff @@\n## master #2984 +/- ##\n=======================================\n Coverage 77.17% 77.17% \n=======================================\n Files 98 98 \n Lines 15997 15997 \n=======================================\n Hits 12345 12345 \n Misses 3652 3652\n```\n\n\n\n------\n\n[Continue to review full report at Codecov](https://codecov.io/gh/huggingface/transformers/pull/2984?src=pr&el=continue).\n> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)\n> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`\n> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/2984?src=pr&el=footer). Last update [129f060...5636868](https://codecov.io/gh/huggingface/transformers/pull/2984?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).\n" ]

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[ "# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/2983?src=pr&el=h1) Report\n> Merging [#2983](https://codecov.io/gh/huggingface/transformers/pull/2983?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/129f0604acb9e8b9cebd2897437324198fa37a0a?src=pr&el=desc) will **decrease** coverage by `0.11%`.\n> The diff coverage is `19.23%`.\n\n[](https://codecov.io/gh/huggingface/transformers/pull/2983?src=pr&el=tree)\n\n```diff\n@@ Coverage Diff @@\n## master #2983 +/- ##\n==========================================\n- Coverage 77.17% 77.05% -0.12% \n==========================================\n Files 98 98 \n Lines 15997 16023 +26 \n==========================================\n+ Hits 12345 12347 +2 \n- Misses 3652 3676 +24\n```\n\n\n| [Impacted Files](https://codecov.io/gh/huggingface/transformers/pull/2983?src=pr&el=tree) | Coverage Δ | |\n|---|---|---|\n| [src/transformers/\\_\\_init\\_\\_.py](https://codecov.io/gh/huggingface/transformers/pull/2983/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9fX2luaXRfXy5weQ==) | `98.91% <ø> (ø)` | :arrow_up: |\n| [src/transformers/modeling\\_auto.py](https://codecov.io/gh/huggingface/transformers/pull/2983/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19hdXRvLnB5) | `75.47% <ø> (ø)` | :arrow_up: |\n| [src/transformers/pipelines.py](https://codecov.io/gh/huggingface/transformers/pull/2983/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9waXBlbGluZXMucHk=) | `70.88% <ø> (ø)` | :arrow_up: |\n| [src/transformers/modeling\\_albert.py](https://codecov.io/gh/huggingface/transformers/pull/2983/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19hbGJlcnQucHk=) | `75.25% <19.23%> (-3.9%)` | :arrow_down: |\n| [src/transformers/tokenization\\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/2983/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fdXRpbHMucHk=) | `90.05% <0%> (-0.44%)` | :arrow_down: |\n\n------\n\n[Continue to review full report at Codecov](https://codecov.io/gh/huggingface/transformers/pull/2983?src=pr&el=continue).\n> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)\n> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`\n> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/2983?src=pr&el=footer). Last update [129f060...f711575](https://codecov.io/gh/huggingface/transformers/pull/2983?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).\n" ]

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[ "# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/2982?src=pr&el=h1) Report\n> Merging [#2982](https://codecov.io/gh/huggingface/transformers/pull/2982?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/d1ab1fab1be7199e082129dfbe46eb52bca92799?src=pr&el=desc) will **increase** coverage by `<.01%`.\n> The diff coverage is `62.5%`.\n\n[](https://codecov.io/gh/huggingface/transformers/pull/2982?src=pr&el=tree)\n\n```diff\n@@ Coverage Diff @@\n## master #2982 +/- ##\n==========================================\n+ Coverage 74.09% 74.09% +<.01% \n==========================================\n Files 93 93 \n Lines 15249 15253 +4 \n==========================================\n+ Hits 11298 11301 +3 \n- Misses 3951 3952 +1\n```\n\n\n| [Impacted Files](https://codecov.io/gh/huggingface/transformers/pull/2982?src=pr&el=tree) | Coverage Δ | |\n|---|---|---|\n| [src/transformers/modeling\\_roberta.py](https://codecov.io/gh/huggingface/transformers/pull/2982/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19yb2JlcnRhLnB5) | `64.95% <0%> (-0.31%)` | :arrow_down: |\n| [src/transformers/modeling\\_distilbert.py](https://codecov.io/gh/huggingface/transformers/pull/2982/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19kaXN0aWxiZXJ0LnB5) | `95.87% <100%> (+0.01%)` | :arrow_up: |\n| [src/transformers/modeling\\_bert.py](https://codecov.io/gh/huggingface/transformers/pull/2982/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19iZXJ0LnB5) | `87.92% <100%> (+0.02%)` | :arrow_up: |\n| [src/transformers/modeling\\_xlnet.py](https://codecov.io/gh/huggingface/transformers/pull/2982/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ194bG5ldC5weQ==) | `73.25% <50%> (+0.04%)` | :arrow_up: |\n\n------\n\n[Continue to review full report at Codecov](https://codecov.io/gh/huggingface/transformers/pull/2982?src=pr&el=continue).\n> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)\n> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`\n> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/2982?src=pr&el=footer). Last update [d1ab1fa...757e2c3](https://codecov.io/gh/huggingface/transformers/pull/2982?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).\n" ]

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[ "Hi! This is an interesting use-case, I think the error stems from the `run_glue` script trying to re-use the different attributes the `run_language_modeling` script had saved.\r\n\r\nThat includes:\r\n- the optimizer state\r\n- the scheduler state\r\n- the current global step, which is inferred from the name\r\n\r\nYour patch works because \r\n1) the optimizer state shouldn't be kept across different trainings. Deleting the optimizer file makes sense.\r\n2) The script believes you're already at a very high global step, as inferred from the name of your file. Setting a very high number of epochs means a very high number of steps to complete the training, hence some remaining steps.\r\n\r\nWe should work to fix the issue, but for now I would recommend deleting the files you don't need (`optimizer.pt` and `scheduler.pt`), and rename your folder containing your model/config/tokenizer files so that it doesn't end with a number.", "Maybe we could raise a warning after pretraining is over. Ideally, this should be handled by the script itself, and such deletion etc. should not be required ", "Yes, I was also stuck on this issue. @LysandreJik , kudos to your hack.", "Stuck in the same issue too. Thanks for your suggestion @LysandreJik ", "This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n" ]

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[ "Which version of Rust are you on? Looking at the trace [PyO3 ](https://pyo3.rs/v0.9.0-alpha.1/)requires at least 1.37.0-nightly 2019-07-19.", "I am on version `1.41.0`", "Interestingly, their website says 1.37.x is the requirement, but [on GitHub](https://github.com/PyO3/pyo3#usage) they say you need 1.42.0-nightly 2020-01-21. That's quite a harsh requirement, I think, but nothing you can do about it I suppose. (Except installing an older version of PyO3 from source.) Can you try either of those options and let us know?", "I went with the former option (installing a nightly build of rust). Here is what I tried:\r\n\r\n1. Install [rustup](https://rustup.rs/)\r\n\r\n```\r\ncurl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh\r\n```\r\n\r\n2. Install a [nightly build of rust](https://doc.rust-lang.org/book/appendix-07-nightly-rust.html#rustup-and-the-role-of-rust-nightly)\r\n\r\n```\r\ncurl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh\r\nsource $HOME/.cargo/env\r\n```\r\n\r\nTry to update `transformers`:\r\n\r\n```\r\npip install --upgrade transformers\r\n```\r\n\r\nNo beans. Got the following stacktrace:\r\n\r\n```\r\nBuilding wheels for collected packages: tokenizers\r\n Building wheel for tokenizers (PEP 517) ... error\r\n ERROR: Command errored out with exit status 1:\r\n command: /home/johnmg/t2t/bin/python /home/johnmg/t2t/lib/python3.7/site-packages/pip/_vendor/pep517/_in_process.py build_wheel /tmp/tmp6fk4hgm1\r\n cwd: /tmp/pip-install-k2pjj650/tokenizers\r\n Complete output (224 lines):\r\n running bdist_wheel\r\n running build\r\n running build_py\r\n creating build\r\n creating build/lib\r\n creating build/lib/tokenizers\r\n copying tokenizers/__init__.py -> build/lib/tokenizers\r\n creating build/lib/tokenizers/models\r\n copying tokenizers/models/__init__.py -> build/lib/tokenizers/models\r\n creating build/lib/tokenizers/decoders\r\n copying tokenizers/decoders/__init__.py -> build/lib/tokenizers/decoders\r\n creating build/lib/tokenizers/normalizers\r\n copying tokenizers/normalizers/__init__.py -> build/lib/tokenizers/normalizers\r\n creating build/lib/tokenizers/pre_tokenizers\r\n copying tokenizers/pre_tokenizers/__init__.py -> build/lib/tokenizers/pre_tokenizers\r\n creating build/lib/tokenizers/processors\r\n copying tokenizers/processors/__init__.py -> build/lib/tokenizers/processors\r\n creating build/lib/tokenizers/trainers\r\n copying tokenizers/trainers/__init__.py -> build/lib/tokenizers/trainers\r\n creating build/lib/tokenizers/implementations\r\n copying tokenizers/implementations/sentencepiece_bpe.py -> build/lib/tokenizers/implementations\r\n copying tokenizers/implementations/char_level_bpe.py -> build/lib/tokenizers/implementations\r\n copying tokenizers/implementations/byte_level_bpe.py -> build/lib/tokenizers/implementations\r\n copying tokenizers/implementations/bert_wordpiece.py -> build/lib/tokenizers/implementations\r\n copying tokenizers/implementations/base_tokenizer.py -> build/lib/tokenizers/implementations\r\n copying tokenizers/implementations/__init__.py -> build/lib/tokenizers/implementations\r\n copying tokenizers/__init__.pyi -> build/lib/tokenizers\r\n copying tokenizers/models/__init__.pyi -> build/lib/tokenizers/models\r\n copying tokenizers/decoders/__init__.pyi -> build/lib/tokenizers/decoders\r\n copying tokenizers/normalizers/__init__.pyi -> build/lib/tokenizers/normalizers\r\n copying tokenizers/pre_tokenizers/__init__.pyi -> build/lib/tokenizers/pre_tokenizers\r\n copying tokenizers/processors/__init__.pyi -> build/lib/tokenizers/processors\r\n copying tokenizers/trainers/__init__.pyi -> build/lib/tokenizers/trainers\r\n running build_ext\r\n running build_rust\r\n Updating crates.io index\r\n warning: unused manifest key: target.x86_64-apple-darwin.rustflags\r\n Compiling proc-macro2 v1.0.8\r\n Compiling unicode-xid v0.2.0\r\n Compiling syn v1.0.15\r\n Compiling libc v0.2.67\r\n Compiling lazy_static v1.4.0\r\n Compiling autocfg v1.0.0\r\n Compiling cfg-if v0.1.10\r\n Compiling semver-parser v0.7.0\r\n Compiling memchr v2.3.3\r\n Compiling serde v1.0.104\r\n Compiling regex-syntax v0.6.14\r\n Running `rustc --crate-name build_script_build --edition=2018 /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/proc-macro2-1.0.8/build.rs --error-format=json --json=diagnostic-rendered-ansi --crate-type bin --emit=dep-info,link -C opt-level=3 --cfg 'feature=\"default\"' --cfg 'feature=\"proc-macro\"' -C metadata=7f8009cddc5e6def -C extra-filename=-7f8009cddc5e6def --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/build/proc-macro2-7f8009cddc5e6def -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --cap-lints allow`\r\n Running `rustc --crate-name unicode_xid /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/unicode-xid-0.2.0/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 --cfg 'feature=\"default\"' -C metadata=c4b64db85789a8a8 -C extra-filename=-c4b64db85789a8a8 --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --cap-lints allow`\r\n Running `rustc --crate-name build_script_build --edition=2018 /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/syn-1.0.15/build.rs --error-format=json --json=diagnostic-rendered-ansi --crate-type bin --emit=dep-info,link -C opt-level=3 --cfg 'feature=\"clone-impls\"' --cfg 'feature=\"default\"' --cfg 'feature=\"derive\"' --cfg 'feature=\"extra-traits\"' --cfg 'feature=\"full\"' --cfg 'feature=\"parsing\"' --cfg 'feature=\"printing\"' --cfg 'feature=\"proc-macro\"' --cfg 'feature=\"quote\"' --cfg 'feature=\"visit\"' -C metadata=df69c996af1dadc1 -C extra-filename=-df69c996af1dadc1 --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/build/syn-df69c996af1dadc1 -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --cap-lints allow`\r\n Running `rustc --crate-name build_script_build /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/libc-0.2.67/build.rs --error-format=json --json=diagnostic-rendered-ansi --crate-type bin --emit=dep-info,link -C opt-level=3 --cfg 'feature=\"default\"' --cfg 'feature=\"std\"' -C metadata=59dfff2fc32cb87b -C extra-filename=-59dfff2fc32cb87b --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/build/libc-59dfff2fc32cb87b -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --cap-lints allow`\r\n Running `rustc --crate-name lazy_static /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/lazy_static-1.4.0/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 -C metadata=daaa2cdb90fc8b44 -C extra-filename=-daaa2cdb90fc8b44 --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --cap-lints allow`\r\n Running `rustc --crate-name autocfg /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/autocfg-1.0.0/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 -C metadata=be76b16d1dfaa3e8 -C extra-filename=-be76b16d1dfaa3e8 --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --cap-lints allow`\r\n Running `rustc --crate-name cfg_if --edition=2018 /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/cfg-if-0.1.10/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 -C metadata=796850ba8a8cedaa -C extra-filename=-796850ba8a8cedaa --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --cap-lints allow`\r\n Running `rustc --crate-name semver_parser /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/semver-parser-0.7.0/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 -C metadata=69550f148bc5bb95 -C extra-filename=-69550f148bc5bb95 --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --cap-lints allow`\r\n Compiling maybe-uninit v2.0.0\r\n Compiling ryu v1.0.2\r\n Compiling getrandom v0.1.14\r\n Compiling unicode-width v0.1.7\r\n Compiling itoa v0.4.5\r\n Compiling scopeguard v1.1.0\r\n Compiling ppv-lite86 v0.2.6\r\n Compiling bitflags v1.2.1\r\n Compiling rayon-core v1.7.0\r\n Compiling version_check v0.9.1\r\n Compiling unindent v0.1.5\r\n Compiling smallvec v1.2.0\r\n Compiling either v1.5.3\r\n Compiling strsim v0.8.0\r\n Compiling vec_map v0.8.1\r\n Compiling ansi_term v0.11.0\r\n Compiling number_prefix v0.3.0\r\n Compiling unicode_categories v0.1.1\r\n Compiling spin v0.5.2\r\n Running `rustc --crate-name build_script_build /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/memchr-2.3.3/build.rs --error-format=json --json=diagnostic-rendered-ansi --crate-type bin --emit=dep-info,link -C opt-level=3 --cfg 'feature=\"default\"' --cfg 'feature=\"std\"' --cfg 'feature=\"use_std\"' -C metadata=1d902e6b0fc561bf -C extra-filename=-1d902e6b0fc561bf --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/build/memchr-1d902e6b0fc561bf -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --cap-lints allow`\r\n Running `rustc --crate-name regex_syntax /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/regex-syntax-0.6.14/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 --cfg 'feature=\"default\"' --cfg 'feature=\"unicode\"' --cfg 'feature=\"unicode-age\"' --cfg 'feature=\"unicode-bool\"' --cfg 'feature=\"unicode-case\"' --cfg 'feature=\"unicode-gencat\"' --cfg 'feature=\"unicode-perl\"' --cfg 'feature=\"unicode-script\"' --cfg 'feature=\"unicode-segment\"' -C metadata=49413942df53b636 -C extra-filename=-49413942df53b636 --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --cap-lints allow`\r\n Running `rustc --crate-name build_script_build /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/serde-1.0.104/build.rs --error-format=json --json=diagnostic-rendered-ansi --crate-type bin --emit=dep-info,link -C opt-level=3 --cfg 'feature=\"default\"' --cfg 'feature=\"derive\"' --cfg 'feature=\"serde_derive\"' --cfg 'feature=\"std\"' -C metadata=d826302b09b30fa3 -C extra-filename=-d826302b09b30fa3 --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/build/serde-d826302b09b30fa3 -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --cap-lints allow`\r\n Running `rustc --crate-name build_script_build /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/maybe-uninit-2.0.0/build.rs --error-format=json --json=diagnostic-rendered-ansi --crate-type bin --emit=dep-info,link -C opt-level=3 -C metadata=733894adef0cf9fb -C extra-filename=-733894adef0cf9fb --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/build/maybe-uninit-733894adef0cf9fb -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --cap-lints allow`\r\n Running `rustc --crate-name build_script_build /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/ryu-1.0.2/build.rs --error-format=json --json=diagnostic-rendered-ansi --crate-type bin --emit=dep-info,link -C opt-level=3 -C metadata=5e3d074139bd55e5 -C extra-filename=-5e3d074139bd55e5 --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/build/ryu-5e3d074139bd55e5 -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --cap-lints allow`\r\n Running `rustc --crate-name build_script_build --edition=2018 /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/getrandom-0.1.14/build.rs --error-format=json --json=diagnostic-rendered-ansi --crate-type bin --emit=dep-info,link -C opt-level=3 --cfg 'feature=\"std\"' -C metadata=df35e20e514661d3 -C extra-filename=-df35e20e514661d3 --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/build/getrandom-df35e20e514661d3 -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --cap-lints allow`\r\n Running `rustc --crate-name unicode_width /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/unicode-width-0.1.7/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 --cfg 'feature=\"default\"' -C metadata=23c2035cef4c6900 -C extra-filename=-23c2035cef4c6900 --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --cap-lints allow`\r\n Running `rustc --crate-name itoa /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/itoa-0.4.5/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 -C metadata=0670cd2bba7e59c0 -C extra-filename=-0670cd2bba7e59c0 --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --cap-lints allow`\r\n Running `rustc --crate-name scopeguard /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/scopeguard-1.1.0/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 -C metadata=cc84917dee271887 -C extra-filename=-cc84917dee271887 --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --cap-lints allow`\r\n Running `rustc --crate-name ppv_lite86 --edition=2018 /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/ppv-lite86-0.2.6/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 --cfg 'feature=\"simd\"' --cfg 'feature=\"std\"' -C metadata=013047a1e1834c1c -C extra-filename=-013047a1e1834c1c --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --cap-lints allow`\r\n Running `rustc --crate-name build_script_build /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/bitflags-1.2.1/build.rs --error-format=json --json=diagnostic-rendered-ansi --crate-type bin --emit=dep-info,link -C opt-level=3 --cfg 'feature=\"default\"' -C metadata=836b697d86bba37f -C extra-filename=-836b697d86bba37f --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/build/bitflags-836b697d86bba37f -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --cap-lints allow`\r\n Running `rustc --crate-name build_script_build --edition=2018 /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/rayon-core-1.7.0/build.rs --error-format=json --json=diagnostic-rendered-ansi --crate-type bin --emit=dep-info,link -C opt-level=3 -C metadata=f57886c0482abf7e -C extra-filename=-f57886c0482abf7e --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/build/rayon-core-f57886c0482abf7e -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --cap-lints allow`\r\n Running `rustc --crate-name version_check /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/version_check-0.9.1/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 -C metadata=db8b107c34362735 -C extra-filename=-db8b107c34362735 --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --cap-lints allow`\r\n Running `rustc --crate-name unindent --edition=2018 /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/unindent-0.1.5/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 -C metadata=dc1487787c7c90f6 -C extra-filename=-dc1487787c7c90f6 --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --cap-lints allow`\r\n Running `rustc --crate-name smallvec --edition=2018 /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/smallvec-1.2.0/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 -C metadata=d5eba03a866e39a3 -C extra-filename=-d5eba03a866e39a3 --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --cap-lints allow`\r\n Running `rustc --crate-name either /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/either-1.5.3/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 -C metadata=99303bd779c82d42 -C extra-filename=-99303bd779c82d42 --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --cap-lints allow`\r\n Running `rustc --crate-name strsim /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/strsim-0.8.0/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 -C metadata=e2648e9eff68e95c -C extra-filename=-e2648e9eff68e95c --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --cap-lints allow`\r\n Running `rustc --crate-name vec_map /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/vec_map-0.8.1/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 -C metadata=6138169e8c0f8f54 -C extra-filename=-6138169e8c0f8f54 --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --cap-lints allow`\r\n Running `rustc --crate-name ansi_term /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/ansi_term-0.11.0/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 -C metadata=fa4822742d417eef -C extra-filename=-fa4822742d417eef --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --cap-lints allow`\r\n Running `rustc --crate-name number_prefix /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/number_prefix-0.3.0/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 --cfg 'feature=\"default\"' --cfg 'feature=\"std\"' -C metadata=e3de789ab67e6629 -C extra-filename=-e3de789ab67e6629 --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --cap-lints allow`\r\n Running `rustc --crate-name unicode_categories /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/unicode_categories-0.1.1/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 -C metadata=190c74b7ffce666b -C extra-filename=-190c74b7ffce666b --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --cap-lints allow`\r\n Running `rustc --crate-name spin /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/spin-0.5.2/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 -C metadata=bbad36607e408080 -C extra-filename=-bbad36607e408080 --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --cap-lints allow`\r\n Compiling semver v0.9.0\r\n Running `rustc --crate-name semver /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/semver-0.9.0/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 --cfg 'feature=\"default\"' -C metadata=3dc1d287cff8dfce -C extra-filename=-3dc1d287cff8dfce --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --extern semver_parser=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libsemver_parser-69550f148bc5bb95.rmeta --cap-lints allow`\r\n Compiling textwrap v0.11.0\r\n Running `rustc --crate-name textwrap /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/textwrap-0.11.0/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 -C metadata=50a2c2e63154ee37 -C extra-filename=-50a2c2e63154ee37 --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --extern unicode_width=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libunicode_width-23c2035cef4c6900.rmeta --cap-lints allow`\r\n Compiling thread_local v1.0.1\r\n Running `rustc --crate-name thread_local /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/thread_local-1.0.1/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 -C metadata=eac48644045cdc04 -C extra-filename=-eac48644045cdc04 --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --extern lazy_static=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/liblazy_static-daaa2cdb90fc8b44.rmeta --cap-lints allow`\r\n Compiling unicode-normalization-alignments v0.1.12\r\n Running `rustc --crate-name unicode_normalization_alignments /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/unicode-normalization-alignments-0.1.12/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 -C metadata=4bec82dc12738e91 -C extra-filename=-4bec82dc12738e91 --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --extern smallvec=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libsmallvec-d5eba03a866e39a3.rmeta --cap-lints allow`\r\n Compiling rustc_version v0.2.3\r\n Running `rustc --crate-name rustc_version /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/rustc_version-0.2.3/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 -C metadata=f9f112a037565bee -C extra-filename=-f9f112a037565bee --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --extern semver=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libsemver-3dc1d287cff8dfce.rmeta --cap-lints allow`\r\n Compiling crossbeam-utils v0.7.2\r\n Compiling crossbeam-epoch v0.8.2\r\n Compiling num-traits v0.2.11\r\n Running `rustc --crate-name build_script_build /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/crossbeam-utils-0.7.2/build.rs --error-format=json --json=diagnostic-rendered-ansi --crate-type bin --emit=dep-info,link -C opt-level=3 --cfg 'feature=\"default\"' --cfg 'feature=\"lazy_static\"' --cfg 'feature=\"std\"' -C metadata=82d9fcbae2b0fcfe -C extra-filename=-82d9fcbae2b0fcfe --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/build/crossbeam-utils-82d9fcbae2b0fcfe -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --extern autocfg=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libautocfg-be76b16d1dfaa3e8.rlib --cap-lints allow`\r\n Running `rustc --crate-name build_script_build /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/crossbeam-epoch-0.8.2/build.rs --error-format=json --json=diagnostic-rendered-ansi --crate-type bin --emit=dep-info,link -C opt-level=3 --cfg 'feature=\"default\"' --cfg 'feature=\"lazy_static\"' --cfg 'feature=\"std\"' -C metadata=d1169acc937644c9 -C extra-filename=-d1169acc937644c9 --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/build/crossbeam-epoch-d1169acc937644c9 -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --extern autocfg=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libautocfg-be76b16d1dfaa3e8.rlib --cap-lints allow`\r\n Running `rustc --crate-name build_script_build /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/num-traits-0.2.11/build.rs --error-format=json --json=diagnostic-rendered-ansi --crate-type bin --emit=dep-info,link -C opt-level=3 --cfg 'feature=\"default\"' --cfg 'feature=\"std\"' -C metadata=5b86f099584d3dae -C extra-filename=-5b86f099584d3dae --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/build/num-traits-5b86f099584d3dae -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --extern autocfg=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libautocfg-be76b16d1dfaa3e8.rlib --cap-lints allow`\r\n Running `/tmp/pip-install-k2pjj650/tokenizers/target/release/build/rayon-core-f57886c0482abf7e/build-script-build`\r\n Running `/tmp/pip-install-k2pjj650/tokenizers/target/release/build/memchr-1d902e6b0fc561bf/build-script-build`\r\n Running `/tmp/pip-install-k2pjj650/tokenizers/target/release/build/bitflags-836b697d86bba37f/build-script-build`\r\n Running `rustc --crate-name memchr /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/memchr-2.3.3/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 --cfg 'feature=\"default\"' --cfg 'feature=\"std\"' --cfg 'feature=\"use_std\"' -C metadata=2eb004acc56bfef6 -C extra-filename=-2eb004acc56bfef6 --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --cap-lints allow --cfg memchr_runtime_simd --cfg memchr_runtime_sse2 --cfg memchr_runtime_sse42 --cfg memchr_runtime_avx`\r\n Running `rustc --crate-name bitflags /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/bitflags-1.2.1/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 --cfg 'feature=\"default\"' -C metadata=561e1eaab5576c8d -C extra-filename=-561e1eaab5576c8d --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --cap-lints allow --cfg bitflags_const_fn`\r\n Running `/tmp/pip-install-k2pjj650/tokenizers/target/release/build/libc-59dfff2fc32cb87b/build-script-build`\r\n Running `rustc --crate-name libc /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/libc-0.2.67/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 --cfg 'feature=\"default\"' --cfg 'feature=\"std\"' -C metadata=1ecf199bab423512 -C extra-filename=-1ecf199bab423512 --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --cap-lints allow --cfg freebsd11 --cfg libc_priv_mod_use --cfg libc_union --cfg libc_const_size_of --cfg libc_align --cfg libc_core_cvoid --cfg libc_packedN`\r\n Running `/tmp/pip-install-k2pjj650/tokenizers/target/release/build/getrandom-df35e20e514661d3/build-script-build`\r\n Running `/tmp/pip-install-k2pjj650/tokenizers/target/release/build/ryu-5e3d074139bd55e5/build-script-build`\r\n Running `/tmp/pip-install-k2pjj650/tokenizers/target/release/build/syn-df69c996af1dadc1/build-script-build`\r\n Running `/tmp/pip-install-k2pjj650/tokenizers/target/release/build/serde-d826302b09b30fa3/build-script-build`\r\n Running `/tmp/pip-install-k2pjj650/tokenizers/target/release/build/maybe-uninit-733894adef0cf9fb/build-script-build`\r\n Running `/tmp/pip-install-k2pjj650/tokenizers/target/release/build/proc-macro2-7f8009cddc5e6def/build-script-build`\r\n Running `rustc --crate-name maybe_uninit /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/maybe-uninit-2.0.0/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 -C metadata=d37c4119dc6540c4 -C extra-filename=-d37c4119dc6540c4 --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --cap-lints allow --cfg derive_copy --cfg repr_transparent --cfg native_uninit`\r\n Running `rustc --crate-name ryu /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/ryu-1.0.2/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 -C metadata=c0ae351db5af2a03 -C extra-filename=-c0ae351db5af2a03 --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --cap-lints allow --cfg integer128 --cfg must_use_return --cfg maybe_uninit`\r\n Compiling memoffset v0.5.3\r\n Running `rustc --crate-name build_script_build /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/memoffset-0.5.3/build.rs --error-format=json --json=diagnostic-rendered-ansi --crate-type bin --emit=dep-info,link -C opt-level=3 -C metadata=3cd08936cb404f8e -C extra-filename=-3cd08936cb404f8e --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/build/memoffset-3cd08936cb404f8e -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --extern rustc_version=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/librustc_version-f9f112a037565bee.rlib --cap-lints allow`\r\n Compiling c2-chacha v0.2.3\r\n Running `rustc --crate-name c2_chacha --edition=2018 /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/c2-chacha-0.2.3/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 --cfg 'feature=\"simd\"' --cfg 'feature=\"std\"' -C metadata=6547bb04c22119fb -C extra-filename=-6547bb04c22119fb --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --extern ppv_lite86=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libppv_lite86-013047a1e1834c1c.rmeta --cap-lints allow`\r\n Running `rustc --crate-name proc_macro2 --edition=2018 /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/proc-macro2-1.0.8/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 --cfg 'feature=\"default\"' --cfg 'feature=\"proc-macro\"' -C metadata=e43ba7375fb44eb2 -C extra-filename=-e43ba7375fb44eb2 --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --extern unicode_xid=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libunicode_xid-c4b64db85789a8a8.rmeta --cap-lints allow --cfg use_proc_macro --cfg wrap_proc_macro --cfg proc_macro_span`\r\n Running `/tmp/pip-install-k2pjj650/tokenizers/target/release/build/crossbeam-utils-82d9fcbae2b0fcfe/build-script-build`\r\n Running `/tmp/pip-install-k2pjj650/tokenizers/target/release/build/num-traits-5b86f099584d3dae/build-script-build`\r\n Compiling aho-corasick v0.7.8\r\n Running `rustc --crate-name aho_corasick /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/aho-corasick-0.7.8/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 --cfg 'feature=\"default\"' --cfg 'feature=\"std\"' -C metadata=1aa04c8e211e8977 -C extra-filename=-1aa04c8e211e8977 --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --extern memchr=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libmemchr-2eb004acc56bfef6.rmeta --cap-lints allow`\r\n Running `/tmp/pip-install-k2pjj650/tokenizers/target/release/build/crossbeam-epoch-d1169acc937644c9/build-script-build`\r\n Running `rustc --crate-name num_traits /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/num-traits-0.2.11/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 --cfg 'feature=\"default\"' --cfg 'feature=\"std\"' -C metadata=5895a2370c90e52c -C extra-filename=-5895a2370c90e52c --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --cap-lints allow --cfg has_i128`\r\n Running `/tmp/pip-install-k2pjj650/tokenizers/target/release/build/memoffset-3cd08936cb404f8e/build-script-build`\r\n Compiling quote v1.0.2\r\n Running `rustc --crate-name quote --edition=2018 /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/quote-1.0.2/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 --cfg 'feature=\"default\"' --cfg 'feature=\"proc-macro\"' -C metadata=2a3c58f3767a45fb -C extra-filename=-2a3c58f3767a45fb --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --extern proc_macro2=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libproc_macro2-e43ba7375fb44eb2.rmeta --cap-lints allow`\r\n Running `rustc --crate-name memoffset /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/memoffset-0.5.3/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 -C metadata=2c7b74dca44a9da4 -C extra-filename=-2c7b74dca44a9da4 --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --cap-lints allow --cfg memoffset_maybe_uninit --cfg memoffset_doctests`\r\n Running `rustc --crate-name crossbeam_utils /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/crossbeam-utils-0.7.2/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 --cfg 'feature=\"default\"' --cfg 'feature=\"lazy_static\"' --cfg 'feature=\"std\"' -C metadata=388986d928bc4f32 -C extra-filename=-388986d928bc4f32 --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --extern cfg_if=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libcfg_if-796850ba8a8cedaa.rmeta --extern lazy_static=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/liblazy_static-daaa2cdb90fc8b44.rmeta --cap-lints allow --cfg has_min_const_fn --cfg has_atomic_u8 --cfg has_atomic_u16 --cfg has_atomic_u32 --cfg has_atomic_u64`\r\n Running `rustc --crate-name syn --edition=2018 /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/syn-1.0.15/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 --cfg 'feature=\"clone-impls\"' --cfg 'feature=\"default\"' --cfg 'feature=\"derive\"' --cfg 'feature=\"extra-traits\"' --cfg 'feature=\"full\"' --cfg 'feature=\"parsing\"' --cfg 'feature=\"printing\"' --cfg 'feature=\"proc-macro\"' --cfg 'feature=\"quote\"' --cfg 'feature=\"visit\"' -C metadata=f20a4e9749d3ee5d -C extra-filename=-f20a4e9749d3ee5d --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --extern proc_macro2=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libproc_macro2-e43ba7375fb44eb2.rmeta --extern quote=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libquote-2a3c58f3767a45fb.rmeta --extern unicode_xid=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libunicode_xid-c4b64db85789a8a8.rmeta --cap-lints allow`\r\n Compiling clicolors-control v1.0.1\r\n Compiling num_cpus v1.12.0\r\n Compiling termios v0.3.1\r\n Compiling atty v0.2.14\r\n Running `rustc --crate-name getrandom --edition=2018 /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/getrandom-0.1.14/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 --cfg 'feature=\"std\"' -C metadata=048e32c5a0c04df6 -C extra-filename=-048e32c5a0c04df6 --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --extern cfg_if=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libcfg_if-796850ba8a8cedaa.rmeta --extern libc=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/liblibc-1ecf199bab423512.rmeta --cap-lints allow`\r\n Running `rustc --crate-name clicolors_control /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/clicolors-control-1.0.1/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 --cfg 'feature=\"default\"' --cfg 'feature=\"terminal_autoconfig\"' -C metadata=0b0b6007b4183ec9 -C extra-filename=-0b0b6007b4183ec9 --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --extern lazy_static=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/liblazy_static-daaa2cdb90fc8b44.rmeta --extern libc=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/liblibc-1ecf199bab423512.rmeta --cap-lints allow`\r\n Running `rustc --crate-name num_cpus /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/num_cpus-1.12.0/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 -C metadata=d96ba1da53092c10 -C extra-filename=-d96ba1da53092c10 --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --extern libc=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/liblibc-1ecf199bab423512.rmeta --cap-lints allow`\r\n Running `rustc --crate-name termios /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/termios-0.3.1/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 -C metadata=ec3a50c8d1bc7e85 -C extra-filename=-ec3a50c8d1bc7e85 --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --extern libc=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/liblibc-1ecf199bab423512.rmeta --cap-lints allow`\r\n Running `rustc --crate-name atty /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/atty-0.2.14/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 -C metadata=a326ad27cb30e935 -C extra-filename=-a326ad27cb30e935 --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --extern libc=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/liblibc-1ecf199bab423512.rmeta --cap-lints allow`\r\n Compiling crossbeam-queue v0.2.1\r\n Running `rustc --crate-name crossbeam_epoch /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/crossbeam-epoch-0.8.2/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 --cfg 'feature=\"default\"' --cfg 'feature=\"lazy_static\"' --cfg 'feature=\"std\"' -C metadata=91bb1210b79b03da -C extra-filename=-91bb1210b79b03da --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --extern cfg_if=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libcfg_if-796850ba8a8cedaa.rmeta --extern crossbeam_utils=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libcrossbeam_utils-388986d928bc4f32.rmeta --extern lazy_static=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/liblazy_static-daaa2cdb90fc8b44.rmeta --extern maybe_uninit=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libmaybe_uninit-d37c4119dc6540c4.rmeta --extern memoffset=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libmemoffset-2c7b74dca44a9da4.rmeta --extern scopeguard=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libscopeguard-cc84917dee271887.rmeta --cap-lints allow --cfg has_min_const_fn`\r\n Running `rustc --crate-name crossbeam_queue /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/crossbeam-queue-0.2.1/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 --cfg 'feature=\"default\"' --cfg 'feature=\"std\"' -C metadata=c776341a9b185621 -C extra-filename=-c776341a9b185621 --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --extern cfg_if=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libcfg_if-796850ba8a8cedaa.rmeta --extern crossbeam_utils=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libcrossbeam_utils-388986d928bc4f32.rmeta --cap-lints allow`\r\n Compiling clap v2.33.0\r\n Running `rustc --crate-name clap /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/clap-2.33.0/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 --cfg 'feature=\"ansi_term\"' --cfg 'feature=\"atty\"' --cfg 'feature=\"color\"' --cfg 'feature=\"default\"' --cfg 'feature=\"strsim\"' --cfg 'feature=\"suggestions\"' --cfg 'feature=\"vec_map\"' -C metadata=3071ac3e668ed07c -C extra-filename=-3071ac3e668ed07c --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --extern ansi_term=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libansi_term-fa4822742d417eef.rmeta --extern atty=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libatty-a326ad27cb30e935.rmeta --extern bitflags=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libbitflags-561e1eaab5576c8d.rmeta --extern strsim=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libstrsim-e2648e9eff68e95c.rmeta --extern textwrap=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libtextwrap-50a2c2e63154ee37.rmeta --extern unicode_width=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libunicode_width-23c2035cef4c6900.rmeta --extern vec_map=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libvec_map-6138169e8c0f8f54.rmeta --cap-lints allow`\r\n Compiling rand_core v0.5.1\r\n Running `rustc --crate-name rand_core --edition=2018 /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/rand_core-0.5.1/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 --cfg 'feature=\"alloc\"' --cfg 'feature=\"getrandom\"' --cfg 'feature=\"std\"' -C metadata=7ce6542ec4257257 -C extra-filename=-7ce6542ec4257257 --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --extern getrandom=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libgetrandom-048e32c5a0c04df6.rmeta --cap-lints allow`\r\n Compiling regex v1.3.4\r\n Running `rustc --crate-name regex /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/regex-1.3.4/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 --cfg 'feature=\"aho-corasick\"' --cfg 'feature=\"default\"' --cfg 'feature=\"memchr\"' --cfg 'feature=\"perf\"' --cfg 'feature=\"perf-cache\"' --cfg 'feature=\"perf-dfa\"' --cfg 'feature=\"perf-inline\"' --cfg 'feature=\"perf-literal\"' --cfg 'feature=\"std\"' --cfg 'feature=\"thread_local\"' --cfg 'feature=\"unicode\"' --cfg 'feature=\"unicode-age\"' --cfg 'feature=\"unicode-bool\"' --cfg 'feature=\"unicode-case\"' --cfg 'feature=\"unicode-gencat\"' --cfg 'feature=\"unicode-perl\"' --cfg 'feature=\"unicode-script\"' --cfg 'feature=\"unicode-segment\"' -C metadata=88e281e069c7ba33 -C extra-filename=-88e281e069c7ba33 --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --extern aho_corasick=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libaho_corasick-1aa04c8e211e8977.rmeta --extern memchr=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libmemchr-2eb004acc56bfef6.rmeta --extern regex_syntax=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libregex_syntax-49413942df53b636.rmeta --extern thread_local=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libthread_local-eac48644045cdc04.rmeta --cap-lints allow`\r\n Compiling crossbeam-deque v0.7.3\r\n Running `rustc --crate-name crossbeam_deque /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/crossbeam-deque-0.7.3/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 -C metadata=0c2beaa054f6da4d -C extra-filename=-0c2beaa054f6da4d --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --extern crossbeam_epoch=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libcrossbeam_epoch-91bb1210b79b03da.rmeta --extern crossbeam_utils=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libcrossbeam_utils-388986d928bc4f32.rmeta --extern maybe_uninit=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libmaybe_uninit-d37c4119dc6540c4.rmeta --cap-lints allow`\r\n Compiling rand_chacha v0.2.1\r\n Running `rustc --crate-name rand_chacha --edition=2018 /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/rand_chacha-0.2.1/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 --cfg 'feature=\"std\"' -C metadata=9c3e099a39a894e1 -C extra-filename=-9c3e099a39a894e1 --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --extern c2_chacha=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libc2_chacha-6547bb04c22119fb.rmeta --extern rand_core=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/librand_core-7ce6542ec4257257.rmeta --cap-lints allow`\r\n Running `rustc --crate-name rayon_core --edition=2018 /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/rayon-core-1.7.0/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 -C metadata=43e482f55cc760b6 -C extra-filename=-43e482f55cc760b6 --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --extern crossbeam_deque=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libcrossbeam_deque-0c2beaa054f6da4d.rmeta --extern crossbeam_queue=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libcrossbeam_queue-c776341a9b185621.rmeta --extern crossbeam_utils=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libcrossbeam_utils-388986d928bc4f32.rmeta --extern lazy_static=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/liblazy_static-daaa2cdb90fc8b44.rmeta --extern num_cpus=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libnum_cpus-d96ba1da53092c10.rmeta --cap-lints allow`\r\n Compiling rand v0.7.3\r\n Running `rustc --crate-name rand --edition=2018 /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/rand-0.7.3/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 --cfg 'feature=\"alloc\"' --cfg 'feature=\"default\"' --cfg 'feature=\"getrandom\"' --cfg 'feature=\"getrandom_package\"' --cfg 'feature=\"libc\"' --cfg 'feature=\"std\"' -C metadata=d905e01484b0667a -C extra-filename=-d905e01484b0667a --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --extern getrandom_package=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libgetrandom-048e32c5a0c04df6.rmeta --extern libc=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/liblibc-1ecf199bab423512.rmeta --extern rand_chacha=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/librand_chacha-9c3e099a39a894e1.rmeta --extern rand_core=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/librand_core-7ce6542ec4257257.rmeta --cap-lints allow`\r\n Compiling rayon v1.3.0\r\n Running `rustc --crate-name rayon --edition=2018 /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/rayon-1.3.0/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 -C metadata=5f29404b086ee91b -C extra-filename=-5f29404b086ee91b --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --extern crossbeam_deque=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libcrossbeam_deque-0c2beaa054f6da4d.rmeta --extern either=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libeither-99303bd779c82d42.rmeta --extern rayon_core=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/librayon_core-43e482f55cc760b6.rmeta --cap-lints allow`\r\n Compiling console v0.9.2\r\n Running `rustc --crate-name console --edition=2018 /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/console-0.9.2/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 --cfg 'feature=\"default\"' --cfg 'feature=\"unicode-width\"' -C metadata=2ce4edc7b4c8449e -C extra-filename=-2ce4edc7b4c8449e --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --extern clicolors_control=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libclicolors_control-0b0b6007b4183ec9.rmeta --extern lazy_static=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/liblazy_static-daaa2cdb90fc8b44.rmeta --extern libc=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/liblibc-1ecf199bab423512.rmeta --extern regex=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libregex-88e281e069c7ba33.rmeta --extern termios=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libtermios-ec3a50c8d1bc7e85.rmeta --extern unicode_width=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libunicode_width-23c2035cef4c6900.rmeta --cap-lints allow`\r\n Compiling indicatif v0.14.0\r\n Running `rustc --crate-name indicatif --edition=2018 /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/indicatif-0.14.0/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi,artifacts --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 --cfg 'feature=\"default\"' -C metadata=e47d5e054f023436 -C extra-filename=-e47d5e054f023436 --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --extern console=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libconsole-2ce4edc7b4c8449e.rmeta --extern lazy_static=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/liblazy_static-daaa2cdb90fc8b44.rmeta --extern number_prefix=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libnumber_prefix-e3de789ab67e6629.rmeta --extern regex=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libregex-88e281e069c7ba33.rmeta --cap-lints allow`\r\n Compiling pyo3-derive-backend v0.8.5\r\n Running `rustc --crate-name pyo3_derive_backend --edition=2018 /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/pyo3-derive-backend-0.8.5/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi --crate-type lib --emit=dep-info,metadata,link -C opt-level=3 -C metadata=aba0e2d131928acb -C extra-filename=-aba0e2d131928acb --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --extern proc_macro2=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libproc_macro2-e43ba7375fb44eb2.rmeta --extern quote=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libquote-2a3c58f3767a45fb.rmeta --extern syn=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libsyn-f20a4e9749d3ee5d.rmeta --cap-lints allow`\r\n Compiling serde_derive v1.0.104\r\n Compiling proc-macro-hack v0.5.11\r\n Compiling ghost v0.1.1\r\n Compiling ctor v0.1.13\r\n Compiling inventory-impl v0.1.5\r\n Compiling pyo3cls v0.8.5\r\n Running `rustc --crate-name serde_derive /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/serde_derive-1.0.104/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi --crate-type proc-macro --emit=dep-info,link -C prefer-dynamic -C opt-level=3 --cfg 'feature=\"default\"' -C metadata=034c70940b2eedef -C extra-filename=-034c70940b2eedef --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --extern proc_macro2=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libproc_macro2-e43ba7375fb44eb2.rlib --extern quote=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libquote-2a3c58f3767a45fb.rlib --extern syn=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libsyn-f20a4e9749d3ee5d.rlib --extern proc_macro --cap-lints allow`\r\n Running `rustc --crate-name ghost --edition=2018 /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/ghost-0.1.1/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi --crate-type proc-macro --emit=dep-info,link -C prefer-dynamic -C opt-level=3 -C metadata=883c66593baf1317 -C extra-filename=-883c66593baf1317 --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --extern proc_macro2=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libproc_macro2-e43ba7375fb44eb2.rlib --extern quote=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libquote-2a3c58f3767a45fb.rlib --extern syn=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libsyn-f20a4e9749d3ee5d.rlib --extern proc_macro --cap-lints allow`\r\n Running `rustc --crate-name proc_macro_hack --edition=2018 /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/proc-macro-hack-0.5.11/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi --crate-type proc-macro --emit=dep-info,link -C prefer-dynamic -C opt-level=3 -C metadata=3cf880fc746cfd7d -C extra-filename=-3cf880fc746cfd7d --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --extern proc_macro2=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libproc_macro2-e43ba7375fb44eb2.rlib --extern quote=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libquote-2a3c58f3767a45fb.rlib --extern syn=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libsyn-f20a4e9749d3ee5d.rlib --extern proc_macro --cap-lints allow`\r\n Running `rustc --crate-name ctor --edition=2018 /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/ctor-0.1.13/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi --crate-type proc-macro --emit=dep-info,link -C prefer-dynamic -C opt-level=3 -C metadata=2c98d245a0bd2934 -C extra-filename=-2c98d245a0bd2934 --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --extern quote=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libquote-2a3c58f3767a45fb.rlib --extern syn=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libsyn-f20a4e9749d3ee5d.rlib --extern proc_macro --cap-lints allow`\r\n Running `rustc --crate-name inventory_impl --edition=2018 /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/inventory-impl-0.1.5/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi --crate-type proc-macro --emit=dep-info,link -C prefer-dynamic -C opt-level=3 -C metadata=753bfdf5c2c1b356 -C extra-filename=-753bfdf5c2c1b356 --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --extern proc_macro2=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libproc_macro2-e43ba7375fb44eb2.rlib --extern quote=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libquote-2a3c58f3767a45fb.rlib --extern syn=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libsyn-f20a4e9749d3ee5d.rlib --extern proc_macro --cap-lints allow`\r\n Running `rustc --crate-name pyo3cls --edition=2018 /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/pyo3cls-0.8.5/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi --crate-type proc-macro --emit=dep-info,link -C prefer-dynamic -C opt-level=3 -C metadata=3b5ed485ca9e08fe -C extra-filename=-3b5ed485ca9e08fe --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --extern proc_macro2=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libproc_macro2-e43ba7375fb44eb2.rlib --extern pyo3_derive_backend=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libpyo3_derive_backend-aba0e2d131928acb.rlib --extern quote=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libquote-2a3c58f3767a45fb.rlib --extern syn=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libsyn-f20a4e9749d3ee5d.rlib --extern proc_macro --cap-lints allow`\r\n Compiling paste-impl v0.1.7\r\n Compiling indoc-impl v0.3.4\r\n Running `rustc --crate-name paste_impl --edition=2018 /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/paste-impl-0.1.7/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi --crate-type proc-macro --emit=dep-info,link -C prefer-dynamic -C opt-level=3 -C metadata=84e729460d896f1b -C extra-filename=-84e729460d896f1b --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --extern proc_macro_hack=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libproc_macro_hack-3cf880fc746cfd7d.so --extern proc_macro2=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libproc_macro2-e43ba7375fb44eb2.rlib --extern quote=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libquote-2a3c58f3767a45fb.rlib --extern syn=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libsyn-f20a4e9749d3ee5d.rlib --extern proc_macro --cap-lints allow`\r\n Running `rustc --crate-name indoc_impl --edition=2018 /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/indoc-impl-0.3.4/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi --crate-type proc-macro --emit=dep-info,link -C prefer-dynamic -C opt-level=3 -C metadata=3a756aee825cada7 -C extra-filename=-3a756aee825cada7 --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --extern proc_macro_hack=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libproc_macro_hack-3cf880fc746cfd7d.so --extern proc_macro2=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libproc_macro2-e43ba7375fb44eb2.rlib --extern quote=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libquote-2a3c58f3767a45fb.rlib --extern syn=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libsyn-f20a4e9749d3ee5d.rlib --extern unindent=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libunindent-dc1487787c7c90f6.rlib --extern proc_macro --cap-lints allow`\r\n error: /lib64/libc.so.6: version `GLIBC_2.18' not found (required by /tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libproc_macro_hack-3cf880fc746cfd7d.so)\r\n --> /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/indoc-impl-0.3.4/src/lib.rs:12:5\r\n |\r\n 12 | use proc_macro_hack::proc_macro_hack;\r\n | ^^^^^^^^^^^^^^^\r\n\r\n error: aborting due to previous error\r\n\r\n error: could not compile `indoc-impl`.\r\n\r\n Caused by:\r\n process didn't exit successfully: `rustc --crate-name indoc_impl --edition=2018 /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/indoc-impl-0.3.4/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi --crate-type proc-macro --emit=dep-info,link -C prefer-dynamic -C opt-level=3 -C metadata=3a756aee825cada7 -C extra-filename=-3a756aee825cada7 --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --extern proc_macro_hack=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libproc_macro_hack-3cf880fc746cfd7d.so --extern proc_macro2=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libproc_macro2-e43ba7375fb44eb2.rlib --extern quote=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libquote-2a3c58f3767a45fb.rlib --extern syn=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libsyn-f20a4e9749d3ee5d.rlib --extern unindent=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libunindent-dc1487787c7c90f6.rlib --extern proc_macro --cap-lints allow` (exit code: 1)\r\n warning: build failed, waiting for other jobs to finish...\r\n error: /lib64/libc.so.6: version `GLIBC_2.18' not found (required by /tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libproc_macro_hack-3cf880fc746cfd7d.so)\r\n --> /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/paste-impl-0.1.7/src/lib.rs:6:5\r\n |\r\n 6 | use proc_macro_hack::proc_macro_hack;\r\n | ^^^^^^^^^^^^^^^\r\n\r\n error: aborting due to previous error\r\n\r\n error: could not compile `paste-impl`.\r\n\r\n Caused by:\r\n process didn't exit successfully: `rustc --crate-name paste_impl --edition=2018 /home/johnmg/.cargo/registry/src/github.com-1ecc6299db9ec823/paste-impl-0.1.7/src/lib.rs --error-format=json --json=diagnostic-rendered-ansi --crate-type proc-macro --emit=dep-info,link -C prefer-dynamic -C opt-level=3 -C metadata=84e729460d896f1b -C extra-filename=-84e729460d896f1b --out-dir /tmp/pip-install-k2pjj650/tokenizers/target/release/deps -L dependency=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps --extern proc_macro_hack=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libproc_macro_hack-3cf880fc746cfd7d.so --extern proc_macro2=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libproc_macro2-e43ba7375fb44eb2.rlib --extern quote=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libquote-2a3c58f3767a45fb.rlib --extern syn=/tmp/pip-install-k2pjj650/tokenizers/target/release/deps/libsyn-f20a4e9749d3ee5d.rlib --extern proc_macro --cap-lints allow` (exit code: 1)\r\n warning: build failed, waiting for other jobs to finish...\r\n error: build failed\r\n cargo rustc --lib --manifest-path Cargo.toml --features pyo3/python3 pyo3/extension-module --release --verbose -- --crate-type cdylib\r\n error: cargo failed with code: 101\r\n\r\n ----------------------------------------\r\n ERROR: Failed building wheel for tokenizers\r\nFailed to build tokenizers\r\nERROR: Could not build wheels for tokenizers which use PEP 517 and cannot be installed directly\r\n```", "I am not sure if this is a version issue or an incompatibility issue, cf. and related: https://stackoverflow.com/questions/55363823/redhat-centos-glibc-2-18-not-found\r\n\r\nBecause of cross-platform compatibility, it might better to have `tokenizers` as an optional dependency and set `use_fast` to False by default instead to True.", "Hi @JohnGiorgi, \r\n\r\nThanks for reporting this issue and sorry you're having trouble with transformers. \r\n\r\nAs @BramVanroy mentioned pyo3 package (which allows us to build the Python binding to Rust) requires some features only available in nightly release. However 1.42 is only required for the version `9.0-alpha` of pyo3 which we're not currently using.\r\n\r\nI did try to reproduce the error you linked above on a Fedora machine I've at hand and wasn't able to. Can you provide some more information regarding this machine ? On which platform is it running ? x86_64 ? POWER9 ? Also if you can include some `uname -a ` output that would be very helpful.\r\n\r\nAny information you might be able to provide to us will help us track down this build issue.\r\n\r\nMany thanks ", "Looking at the trace, it seems `tokenizers` uses v0.8.5 of PyO3, which (according to their docs) requires 1.37.0-nightly 2019-07-19. So it's a bit odd that installation didn't work for OP on 1.41 from the start. But perhaps it has to do with GLIBC_2.18?\r\n\r\n@mfuntowicz From the CentOS fora, [it seems that 2.18 will never come to CentOS 7](https://forums.centos.org/viewtopic.php?t=71740) so I fear this is just an incompatibility. That adds to my point that I would suggest that `tokenizers` is an optional dependency and use_fast should be False by default. \r\n", "@BramVanroy The nightly features can take many release cycles before landing on a stable version. So these features are probably still part of the nightly only, even in the stable `1.4.1`.\r\n\r\nAnyway, we provide `manylinux` wheels, and these are built on `CentOS 5` so I think the real problem here is to find out why it didn't download the wheel in the first place, but tried to re-compile instead.", "@n1t0 Ah, that makes sense. Thanks for the clarification.\r\n\r\n@JohnGiorgi Can you try to install `tokenizers` with `pip debug install tokenizers -vv`? It'll show you all compatible tags.", "@mfuntowicz\r\n\r\nOutput of `lscpu`\r\n\r\n```\r\nArchitecture: x86_64\r\nCPU op-mode(s): 32-bit, 64-bit\r\nByte Order: Little Endian\r\nCPU(s): 40\r\nOn-line CPU(s) list: 0-39\r\nThread(s) per core: 1\r\nCore(s) per socket: 20\r\nSocket(s): 2\r\nNUMA node(s): 2\r\nVendor ID: GenuineIntel\r\nCPU family: 6\r\nModel: 85\r\nModel name: Intel(R) Xeon(R) Gold 6148 CPU @ 2.40GHz\r\nStepping: 4\r\nCPU MHz: 2057.373\r\nCPU max MHz: 3700.0000\r\nCPU min MHz: 1000.0000\r\nBogoMIPS: 4800.00\r\nVirtualization: VT-x\r\nL1d cache: 32K\r\nL1i cache: 32K\r\nL2 cache: 1024K\r\nL3 cache: 28160K\r\nNUMA node0 CPU(s): 0,2,4,6,8,10,12,14,16,18,20,22,24,26,28,30,32,34,36,38\r\nNUMA node1 CPU(s): 1,3,5,7,9,11,13,15,17,19,21,23,25,27,29,31,33,35,37,39\r\nFlags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc aperfmperf eagerfpu pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch epb cat_l3 cdp_l3 invpcid_single intel_ppin intel_pt ssbd mba ibrs ibpb stibp tpr_shadow vnmi flexpriority ept vpid fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm cqm mpx rdt_a avx512f avx512dq rdseed adx smap clflushopt clwb avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local dtherm ida arat pln pts pku ospke md_clear spec_ctrl intel_stibp flush_l1d\r\n```\r\n\r\nOutput of `uname -a`\r\n\r\n```\r\nLinux beluga1.int.ets1.calculquebec.ca 3.10.0-1062.9.1.el7.x86_64 #1 SMP Fri Dec 6 15:49:49 UTC 2019 x86_64 GNU/Linux\r\n```\r\n\r\nOutput of `cat /etc/os-release`\r\n\r\n```\r\nNAME=\"CentOS Linux\"\r\nVERSION=\"7 (Core)\"\r\nID=\"centos\"\r\nID_LIKE=\"rhel fedora\"\r\nVERSION_ID=\"7\"\r\nPRETTY_NAME=\"CentOS Linux 7 (Core)\"\r\nANSI_COLOR=\"0;31\"\r\nCPE_NAME=\"cpe:/o:centos:centos:7\"\r\nHOME_URL=\"https://www.centos.org/\"\r\nBUG_REPORT_URL=\"https://bugs.centos.org/\"\r\n\r\nCENTOS_MANTISBT_PROJECT=\"CentOS-7\"\r\nCENTOS_MANTISBT_PROJECT_VERSION=\"7\"\r\nREDHAT_SUPPORT_PRODUCT=\"centos\"\r\nREDHAT_SUPPORT_PRODUCT_VERSION=\"7\"\r\n```\r\n\r\nI am working on a Compute Canada cluster, so information about it can also be found [here](https://docs.computecanada.ca/wiki/B%C3%A9luga/en).\r\n\r\n@BramVanroy \r\n\r\nHere is the output of `pip debug install tokenizers -vv`\r\n\r\n```\r\nWARNING: This command is only meant for debugging. Do not use this with automation for parsing and getting these details, since the output and options of this command may change without notice.\r\npip version: pip 20.0.2 from /home/johnmg/t2t/lib/python3.7/site-packages/pip (python 3.7)\r\nsys.version: 3.7.4 (default, Jul 18 2019, 19:34:02)\r\n[GCC 5.4.0]\r\nsys.executable: /home/johnmg/t2t/bin/python\r\nsys.getdefaultencoding: utf-8\r\nsys.getfilesystemencoding: utf-8\r\nlocale.getpreferredencoding: UTF-8\r\nsys.platform: linux\r\nsys.implementation:\r\n name: cpython\r\n'cert' config value: install, wheel, :env:\r\nREQUESTS_CA_BUNDLE: None\r\nCURL_CA_BUNDLE: /etc/pki/tls/certs/ca-bundle.crt\r\npip._vendor.certifi.where(): /home/johnmg/t2t/lib/python3.7/site-packages/pip/_vendor/certifi/cacert.pem\r\nCompatible tags: 27\r\n cp37-cp37m-linux_x86_64\r\n cp37-abi3-linux_x86_64\r\n cp37-none-linux_x86_64\r\n cp36-abi3-linux_x86_64\r\n cp35-abi3-linux_x86_64\r\n cp34-abi3-linux_x86_64\r\n cp33-abi3-linux_x86_64\r\n cp32-abi3-linux_x86_64\r\n py37-none-linux_x86_64\r\n py3-none-linux_x86_64\r\n py36-none-linux_x86_64\r\n py35-none-linux_x86_64\r\n py34-none-linux_x86_64\r\n py33-none-linux_x86_64\r\n py32-none-linux_x86_64\r\n py31-none-linux_x86_64\r\n py30-none-linux_x86_64\r\n cp37-none-any\r\n py37-none-any\r\n py3-none-any\r\n py36-none-any\r\n py35-none-any\r\n py34-none-any\r\n py33-none-any\r\n py32-none-any\r\n py31-none-any\r\n py30-none-any\r\n```", "I'm also having these same errors. It gets past the install, but then when running the tests `pip install -e \".[testing]\"` I get: \r\n\r\n`error: Can not find Rust compiler\r\n ----------------------------------------\r\n ERROR: Failed building wheel for tokenizers\r\nFailed to build tokenizers\r\nERROR: Could not build wheels for tokenizers which use PEP 517 and cannot be installed directly`", "This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n", "Hey guys, @JohnGiorgi @Shane-Neeley , I think I figured out what was happening to you (to me also). At the time of your question, I think there was a high possibility that in the \"setup.py\" of transformers' source code, there was a line writing \"tokenizers=0.5.2\" ; but in fact this old version will bother the update of transformers.\r\nBut when I install the newest tokenizers by pip (pip install -U tokenizers), you will get a tokenizers==0.7.0. That's why at the time of your question, there were always conflits and bugs about this tokenizers (I also installed Rust and setuptool-rust, it was always the same error).\r\n\r\nAnd now they just corrected this line in the setup.py. So I just suggest you to \r\n1. uninstall your old version transformers (very important!)\r\n2. pip install -U tokenizers (so that it becomes tokenizers==0.7.0)\r\n3. install transformers from source !\r\n\r\nThen voilà ! You'll get a brand new smoothy transformers.", "> Hey guys, @JohnGiorgi @Shane-Neeley , I think I figured out what was happening to you (to me also). At the time of your question, I think there was a high possibility that in the \"setup.py\" of transformers' source code, there was a line writing \"tokenizers=0.5.2\" ; but in fact this old version will bother the update of transformers.\r\n> But when I install the newest tokenizers by pip (pip install -U tokenizers), you will get a tokenizers==0.7.0. That's why at the time of your question, there were always conflits and bugs about this tokenizers (I also installed Rust and setuptool-rust, it was always the same error).\r\n> \r\n> And now they just corrected this line in the setup.py. So I just suggest you to\r\n> \r\n> 1. uninstall your old version transformers (very important!)\r\n> 2. pip install -U tokenizers (so that it becomes tokenizers==0.7.0)\r\n> 3. install transformers from source !\r\n> \r\n> Then voilà ! You'll get a brand new smoothy transformers.\r\n\r\nI am installing transformers from source but I am getting the error.", "`curl https://sh.rustup.rs -sSf | sh`\r\n`source $HOME/.cargo/env`\r\n`pip3 install --upgrade transformers`\r\n\r\nthese lines worked for me", "> `curl https://sh.rustup.rs -sSf | sh` `source $HOME/.cargo/env` `pip3 install --upgrade transformers`\r\n> \r\n> эти строки сработали для меня\r\n\r\nПодскажите, пожалуйста, куда именно Вы вводите данные команды?\r\n\r\nPlease tell me where exactly you enter these commands?" ]

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[ "Hi, thank you for your comment. Github allows you to look at older versions of the [code](https://github.com/huggingface/transformers/blob/v1.0.0/examples/utils_glue.py)." ]

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[ "This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n" ]

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[ "Running the following code caused error for me: \r\n\r\n> import transformers\r\n> tokenizer = transformers.AutoTokenizer.from_pretrained(\"xlm-roberta-base\")\r\n> tokenizer.convert_ids_to_tokens(range(tokenizer.vocab_size))\r\n\r\nActually, the `tokenizer.vocab_size` is `250005`, the last id `250004` is `<mask>`, but the ids from `250001` to `250003` do not exist.", "> Actually, the `tokenizer.vocab_size` is `250005`, the last id `250004` is `<mask>`, but the ids from `250001` to `250003` do not exist.\r\n\r\nYa ok this is definitely the problem. Either way, it's an issue for the current implementation of get_vocab which will crash at 25001:\r\n\r\n```\r\n def get_vocab(self):\r\n vocab = {self.convert_ids_to_tokens(i): i for i in range(self.vocab_size)}\r\n vocab.update(self.added_tokens_encoder)\r\n return vocab\r\n```\r\n", "I wonder if this issue will be fixed? Currently it is not...", "This issue is known and will be fixed.", "This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n", "This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n", "This should have been fixed with https://github.com/huggingface/transformers/pull/3198" ]

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[ "Hi @sysu-zjw, this is indeed a very interesting observation that you made! \r\nOne thing to notice first is that GPT2 uses casual masking. So when looking at the attention weights ( corresponding to your variable `last_layer_attns_per_head` which I think should actually be called `last_layer_attns_avg_over_heads` ;-) ):\r\n\r\n```\r\n[1.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000],\r\n[0.8310, 0.1690, 0.0000, 0.0000, 0.0000, 0.0000],\r\n[0.7752, 0.1165, 0.1083, 0.0000, 0.0000, 0.0000],\r\n[0.6962, 0.1208, 0.1039, 0.0790, 0.0000, 0.0000],\r\n[0.8273, 0.0428, 0.0410, 0.0356, 0.0533, 0.0000],\r\n[0.6496, 0.0758, 0.0439, 0.0328, 0.0853, 0.1125]\r\n```\r\nIt is obvious that the attention weights of the first token for example can only attend to the first token and so on.\r\nBut as you noticed the more interesting part is that also the last token seems to always focus most of its attention on the first token (for the last layer).\r\n\r\nI played around with different inputs and also noticed that pretty much the latter half of the transformer layers focus by far most of \"its attention\" on the first token. After googling a bit, I found that your observations were already put in a paper (check it out [here](https://www.aclweb.org/anthology/W19-4808.pdf) - especially Section 4.2). Looking at Figure 2, you should recognize your observations ;-) \r\n\r\nFrom my point of view, there is nothing wrong with your code. I think it's a pattern that has been observed but its reason is not well understood.\r\nIf you find a good explanation for GPT2's behavior in this case (might also be very similar for other transformer architectures), let me know!\r\n\r\n", "@patrickvonplaten Thanks much for your detailed comment :) I will post here if I find any good explanation." ]

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[ "Closing as discussed in https://github.com/huggingface/transformers/issues/2959#issuecomment-619214142" ]

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[ "# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/2973?src=pr&el=h1) Report\n> Merging [#2973](https://codecov.io/gh/huggingface/transformers/pull/2973?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/c36416e53c29da8b6193f4a36d7b024c5f513495?src=pr&el=desc) will **increase** coverage by `0.03%`.\n> The diff coverage is `92.85%`.\n\n[](https://codecov.io/gh/huggingface/transformers/pull/2973?src=pr&el=tree)\n\n```diff\n@@ Coverage Diff @@\n## master #2973 +/- ##\n==========================================\n+ Coverage 77.14% 77.17% +0.03% \n==========================================\n Files 98 98 \n Lines 16006 16020 +14 \n==========================================\n+ Hits 12348 12364 +16 \n+ Misses 3658 3656 -2\n```\n\n\n| [Impacted Files](https://codecov.io/gh/huggingface/transformers/pull/2973?src=pr&el=tree) | Coverage Δ | |\n|---|---|---|\n| [src/transformers/tokenization\\_t5.py](https://codecov.io/gh/huggingface/transformers/pull/2973/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fdDUucHk=) | `95.83% <100%> (+0.11%)` | :arrow_up: |\n| [src/transformers/tokenization\\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/2973/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fdXRpbHMucHk=) | `91.06% <92.3%> (+0.45%)` | :arrow_up: |\n\n------\n\n[Continue to review full report at Codecov](https://codecov.io/gh/huggingface/transformers/pull/2973?src=pr&el=continue).\n> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)\n> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`\n> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/2973?src=pr&el=footer). Last update [c36416e...9e3275a](https://codecov.io/gh/huggingface/transformers/pull/2973?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).\n" ]

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[ "There isn't a way to retrieve that from the current API, but feel free to clone the repository and modify it to fit your needs.", "Hello,\r\n\r\nThank you for your reply. Can I make a request to the Hugging Face so that the code can be modified for users to extract ```self.merge_heads(a)``` and ```self.c_proj(a)```? If yes, how can I make the request?\r\n\r\nThank you,", "> Hello,\r\n> \r\n> Thank you for your reply. Can I make a request to the Hugging Face so that the code can be modified for users to extract `self.merge_heads(a)` and `self.c_proj(a)`? If yes, how can I make the request?\r\n> \r\n> Thank you,\r\n\r\nYou can suggest feature requests here, as a feature (so here in this topic), but chances are very slim that it will be picked up. It is not high in priority, I would think. @LysandreJik suggests that you clone the repository and implement it yourself. If you successfully do so, you can do a pull request so that your code becomes part of this repository!", "This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n" ]

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[ "# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/2971?src=pr&el=h1) Report\n> Merging [#2971](https://codecov.io/gh/huggingface/transformers/pull/2971?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/92487a1dc03c919afa8a961ed7d8ba78fafa21bd?src=pr&el=desc) will **increase** coverage by `<.01%`.\n> The diff coverage is `100%`.\n\n[](https://codecov.io/gh/huggingface/transformers/pull/2971?src=pr&el=tree)\n\n```diff\n@@ Coverage Diff @@\n## master #2971 +/- ##\n==========================================\n+ Coverage 77.14% 77.15% +<.01% \n==========================================\n Files 98 98 \n Lines 16003 16003 \n==========================================\n+ Hits 12346 12347 +1 \n+ Misses 3657 3656 -1\n```\n\n\n| [Impacted Files](https://codecov.io/gh/huggingface/transformers/pull/2971?src=pr&el=tree) | Coverage Δ | |\n|---|---|---|\n| [src/transformers/modeling\\_transfo\\_xl.py](https://codecov.io/gh/huggingface/transformers/pull/2971/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190cmFuc2ZvX3hsLnB5) | `75.63% <100%> (ø)` | :arrow_up: |\n| [src/transformers/modeling\\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/2971/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ191dGlscy5weQ==) | `92.53% <0%> (+0.16%)` | :arrow_up: |\n\n------\n\n[Continue to review full report at Codecov](https://codecov.io/gh/huggingface/transformers/pull/2971?src=pr&el=continue).\n> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)\n> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`\n> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/2971?src=pr&el=footer). Last update [92487a1...7209cf3](https://codecov.io/gh/huggingface/transformers/pull/2971?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).\n" ]

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[ "# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/2969?src=pr&el=h1) Report\n> Merging [#2969](https://codecov.io/gh/huggingface/transformers/pull/2969?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/c36416e53c29da8b6193f4a36d7b024c5f513495?src=pr&el=desc) will **decrease** coverage by `<.01%`.\n> The diff coverage is `100%`.\n\n[](https://codecov.io/gh/huggingface/transformers/pull/2969?src=pr&el=tree)\n\n```diff\n@@ Coverage Diff @@\n## master #2969 +/- ##\n==========================================\n- Coverage 77.14% 77.14% -0.01% \n==========================================\n Files 98 98 \n Lines 16006 16003 -3 \n==========================================\n- Hits 12348 12345 -3 \n Misses 3658 3658\n```\n\n\n| [Impacted Files](https://codecov.io/gh/huggingface/transformers/pull/2969?src=pr&el=tree) | Coverage Δ | |\n|---|---|---|\n| [src/transformers/modeling\\_bart.py](https://codecov.io/gh/huggingface/transformers/pull/2969/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19iYXJ0LnB5) | `84.58% <100%> (-0.11%)` | :arrow_down: |\n\n------\n\n[Continue to review full report at Codecov](https://codecov.io/gh/huggingface/transformers/pull/2969?src=pr&el=continue).\n> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)\n> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`\n> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/2969?src=pr&el=footer). Last update [c36416e...0198f22](https://codecov.io/gh/huggingface/transformers/pull/2969?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).\n" ]

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[ "# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/2968?src=pr&el=h1) Report\n> Merging [#2968](https://codecov.io/gh/huggingface/transformers/pull/2968?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/c36416e53c29da8b6193f4a36d7b024c5f513495?src=pr&el=desc) will **decrease** coverage by `1.01%`.\n> The diff coverage is `n/a`.\n\n[](https://codecov.io/gh/huggingface/transformers/pull/2968?src=pr&el=tree)\n\n```diff\n@@ Coverage Diff @@\n## master #2968 +/- ##\n==========================================\n- Coverage 77.14% 76.13% -1.02% \n==========================================\n Files 98 98 \n Lines 16006 15998 -8 \n==========================================\n- Hits 12348 12180 -168 \n- Misses 3658 3818 +160\n```\n\n\n| [Impacted Files](https://codecov.io/gh/huggingface/transformers/pull/2968?src=pr&el=tree) | Coverage Δ | |\n|---|---|---|\n| [src/transformers/modeling\\_encoder\\_decoder.py](https://codecov.io/gh/huggingface/transformers/pull/2968/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19lbmNvZGVyX2RlY29kZXIucHk=) | `25.37% <ø> (-1.3%)` | :arrow_down: |\n| [src/transformers/modeling\\_tf\\_pytorch\\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/2968/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9weXRvcmNoX3V0aWxzLnB5) | `8.72% <0%> (-81.21%)` | :arrow_down: |\n| [src/transformers/modeling\\_roberta.py](https://codecov.io/gh/huggingface/transformers/pull/2968/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19yb2JlcnRhLnB5) | `85.71% <0%> (-10%)` | :arrow_down: |\n| [src/transformers/modeling\\_xlnet.py](https://codecov.io/gh/huggingface/transformers/pull/2968/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ194bG5ldC5weQ==) | `73.48% <0%> (-2.3%)` | :arrow_down: |\n| [src/transformers/modeling\\_ctrl.py](https://codecov.io/gh/huggingface/transformers/pull/2968/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19jdHJsLnB5) | `96.03% <0%> (-2.21%)` | :arrow_down: |\n| [src/transformers/modeling\\_openai.py](https://codecov.io/gh/huggingface/transformers/pull/2968/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19vcGVuYWkucHk=) | `80.2% <0%> (-1.35%)` | :arrow_down: |\n\n------\n\n[Continue to review full report at Codecov](https://codecov.io/gh/huggingface/transformers/pull/2968?src=pr&el=continue).\n> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)\n> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`\n> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/2968?src=pr&el=footer). Last update [c36416e...05560e2](https://codecov.io/gh/huggingface/transformers/pull/2968?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).\n" ]

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[ "# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/2967?src=pr&el=h1) Report\n> Merging [#2967](https://codecov.io/gh/huggingface/transformers/pull/2967?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/94ff2d6ee8280c5595b92c1128c0f18e44925e56?src=pr&el=desc) will **increase** coverage by `<.01%`.\n> The diff coverage is `n/a`.\n\n[](https://codecov.io/gh/huggingface/transformers/pull/2967?src=pr&el=tree)\n\n```diff\n@@ Coverage Diff @@\n## master #2967 +/- ##\n==========================================\n+ Coverage 77.11% 77.12% +<.01% \n==========================================\n Files 98 98 \n Lines 15977 15977 \n==========================================\n+ Hits 12321 12322 +1 \n+ Misses 3656 3655 -1\n```\n\n\n| [Impacted Files](https://codecov.io/gh/huggingface/transformers/pull/2967?src=pr&el=tree) | Coverage Δ | |\n|---|---|---|\n| [src/transformers/modeling\\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/2967/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ191dGlscy5weQ==) | `92.53% <0%> (+0.16%)` | :arrow_up: |\n\n------\n\n[Continue to review full report at Codecov](https://codecov.io/gh/huggingface/transformers/pull/2967?src=pr&el=continue).\n> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)\n> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`\n> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/2967?src=pr&el=footer). Last update [94ff2d6...bede5f4](https://codecov.io/gh/huggingface/transformers/pull/2967?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).\n" ]

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[ "# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/2966?src=pr&el=h1) Report\n> Merging [#2966](https://codecov.io/gh/huggingface/transformers/pull/2966?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/cc6775cdf5b20ad382613d3bdbf0dd8364d23219?src=pr&el=desc) will **decrease** coverage by `<.01%`.\n> The diff coverage is `100%`.\n\n[](https://codecov.io/gh/huggingface/transformers/pull/2966?src=pr&el=tree)\n\n```diff\n@@ Coverage Diff @@\n## master #2966 +/- ##\n==========================================\n- Coverage 77.12% 77.11% -0.01% \n==========================================\n Files 98 98 \n Lines 15977 15979 +2 \n==========================================\n Hits 12322 12322 \n- Misses 3655 3657 +2\n```\n\n\n| [Impacted Files](https://codecov.io/gh/huggingface/transformers/pull/2966?src=pr&el=tree) | Coverage Δ | |\n|---|---|---|\n| [src/transformers/tokenization\\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/2966/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fdXRpbHMucHk=) | `90.48% <100%> (+0.02%)` | :arrow_up: |\n| [src/transformers/modeling\\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/2966/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ191dGlscy5weQ==) | `92.2% <0%> (-0.33%)` | :arrow_down: |\n\n------\n\n[Continue to review full report at Codecov](https://codecov.io/gh/huggingface/transformers/pull/2966?src=pr&el=continue).\n> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)\n> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`\n> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/2966?src=pr&el=footer). Last update [cc6775c...7a09a54](https://codecov.io/gh/huggingface/transformers/pull/2966?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).\n" ]

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[ "# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/2965?src=pr&el=h1) Report\n> Merging [#2965](https://codecov.io/gh/huggingface/transformers/pull/2965?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/cc6775cdf5b20ad382613d3bdbf0dd8364d23219?src=pr&el=desc) will **decrease** coverage by `<.01%`.\n> The diff coverage is `66.66%`.\n\n[](https://codecov.io/gh/huggingface/transformers/pull/2965?src=pr&el=tree)\n\n```diff\n@@ Coverage Diff @@\n## master #2965 +/- ##\n==========================================\n- Coverage 77.12% 77.11% -0.01% \n==========================================\n Files 98 98 \n Lines 15977 15979 +2 \n==========================================\n+ Hits 12322 12323 +1 \n- Misses 3655 3656 +1\n```\n\n\n| [Impacted Files](https://codecov.io/gh/huggingface/transformers/pull/2965?src=pr&el=tree) | Coverage Δ | |\n|---|---|---|\n| [src/transformers/tokenization\\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/2965/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fdXRpbHMucHk=) | `90.33% <66.66%> (-0.12%)` | :arrow_down: |\n| [src/transformers/modeling\\_tf\\_camembert.py](https://codecov.io/gh/huggingface/transformers/pull/2965/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9jYW1lbWJlcnQucHk=) | `100% <0%> (ø)` | :arrow_up: |\n| [src/transformers/modeling\\_tf\\_xlm\\_roberta.py](https://codecov.io/gh/huggingface/transformers/pull/2965/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl94bG1fcm9iZXJ0YS5weQ==) | `100% <0%> (ø)` | :arrow_up: |\n| [src/transformers/modeling\\_tf\\_roberta.py](https://codecov.io/gh/huggingface/transformers/pull/2965/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9yb2JlcnRhLnB5) | `100% <0%> (ø)` | :arrow_up: |\n| [src/transformers/modeling\\_tf\\_ctrl.py](https://codecov.io/gh/huggingface/transformers/pull/2965/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9jdHJsLnB5) | `97.82% <0%> (ø)` | :arrow_up: |\n| [src/transformers/modeling\\_tf\\_t5.py](https://codecov.io/gh/huggingface/transformers/pull/2965/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl90NS5weQ==) | `96.54% <0%> (ø)` | :arrow_up: |\n| [src/transformers/modeling\\_tf\\_bert.py](https://codecov.io/gh/huggingface/transformers/pull/2965/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9iZXJ0LnB5) | `96.05% <0%> (ø)` | :arrow_up: |\n| [src/transformers/modeling\\_tf\\_openai.py](https://codecov.io/gh/huggingface/transformers/pull/2965/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9vcGVuYWkucHk=) | `95.84% <0%> (ø)` | :arrow_up: |\n| [src/transformers/modeling\\_tf\\_distilbert.py](https://codecov.io/gh/huggingface/transformers/pull/2965/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9kaXN0aWxiZXJ0LnB5) | `95.11% <0%> (ø)` | :arrow_up: |\n| [src/transformers/modeling\\_tf\\_gpt2.py](https://codecov.io/gh/huggingface/transformers/pull/2965/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9ncHQyLnB5) | `94.66% <0%> (ø)` | :arrow_up: |\n| ... and [20 more](https://codecov.io/gh/huggingface/transformers/pull/2965/diff?src=pr&el=tree-more) | |\n\n------\n\n[Continue to review full report at Codecov](https://codecov.io/gh/huggingface/transformers/pull/2965?src=pr&el=continue).\n> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)\n> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`\n> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/2965?src=pr&el=footer). Last update [cc6775c...46b6238](https://codecov.io/gh/huggingface/transformers/pull/2965?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).\n", "The code wouldn't be slower if we always returned it, but one of the use-cases of `encode_plus` is that it provides the full array of necessary values for the model, and only those by default. The rest (useful values but that cannot be fed to the model) is optional. This is so we may do something like this:\r\n\r\n```py\r\nvalue = tokenizer.encode_plus(\"First sequence\", \"second sequence\")\r\nmodel(**value)\r\n```\r\n\r\nThis isn't perfect yet as it returns some values which are not usable by some models (e.g. `token_type_ids` for DistilBERT which crash the model).\r\n\r\nSee #2702 and #2871 for more background." ]

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[ "# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/2964?src=pr&el=h1) Report\n> Merging [#2964](https://codecov.io/gh/huggingface/transformers/pull/2964?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/94ff2d6ee8280c5595b92c1128c0f18e44925e56?src=pr&el=desc) will **decrease** coverage by `1.03%`.\n> The diff coverage is `n/a`.\n\n[](https://codecov.io/gh/huggingface/transformers/pull/2964?src=pr&el=tree)\n\n```diff\n@@ Coverage Diff @@\n## master #2964 +/- ##\n==========================================\n- Coverage 77.11% 76.08% -1.04% \n==========================================\n Files 98 98 \n Lines 15977 15977 \n==========================================\n- Hits 12321 12156 -165 \n- Misses 3656 3821 +165\n```\n\n\n| [Impacted Files](https://codecov.io/gh/huggingface/transformers/pull/2964?src=pr&el=tree) | Coverage Δ | |\n|---|---|---|\n| [src/transformers/modeling\\_tf\\_pytorch\\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/2964/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9weXRvcmNoX3V0aWxzLnB5) | `8.72% <0%> (-81.21%)` | :arrow_down: |\n| [src/transformers/modeling\\_roberta.py](https://codecov.io/gh/huggingface/transformers/pull/2964/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19yb2JlcnRhLnB5) | `85.71% <0%> (-10%)` | :arrow_down: |\n| [src/transformers/modeling\\_xlnet.py](https://codecov.io/gh/huggingface/transformers/pull/2964/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ194bG5ldC5weQ==) | `73.48% <0%> (-2.3%)` | :arrow_down: |\n| [src/transformers/modeling\\_ctrl.py](https://codecov.io/gh/huggingface/transformers/pull/2964/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19jdHJsLnB5) | `96.03% <0%> (-2.21%)` | :arrow_down: |\n| [src/transformers/modeling\\_openai.py](https://codecov.io/gh/huggingface/transformers/pull/2964/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19vcGVuYWkucHk=) | `80.2% <0%> (-1.35%)` | :arrow_down: |\n\n------\n\n[Continue to review full report at Codecov](https://codecov.io/gh/huggingface/transformers/pull/2964?src=pr&el=continue).\n> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)\n> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`\n> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/2964?src=pr&el=footer). Last update [94ff2d6...4e2066b](https://codecov.io/gh/huggingface/transformers/pull/2964?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).\n", "Thanks! cc @LysandreJik " ]

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[ "Closing as discussed in https://github.com/huggingface/transformers/issues/2959#issuecomment-619214142" ]

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[ "Should fix #2950", "# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/2961?src=pr&el=h1) Report\n> Merging [#2961](https://codecov.io/gh/huggingface/transformers/pull/2961?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/94ff2d6ee8280c5595b92c1128c0f18e44925e56?src=pr&el=desc) will **decrease** coverage by `<.01%`.\n> The diff coverage is `n/a`.\n\n[](https://codecov.io/gh/huggingface/transformers/pull/2961?src=pr&el=tree)\n\n```diff\n@@ Coverage Diff @@\n## master #2961 +/- ##\n==========================================\n- Coverage 77.11% 77.11% -0.01% \n==========================================\n Files 98 98 \n Lines 15977 15977 \n==========================================\n- Hits 12321 12320 -1 \n- Misses 3656 3657 +1\n```\n\n\n| [Impacted Files](https://codecov.io/gh/huggingface/transformers/pull/2961?src=pr&el=tree) | Coverage Δ | |\n|---|---|---|\n| [src/transformers/tokenization\\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/2961/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy90b2tlbml6YXRpb25fdXRpbHMucHk=) | `90.45% <ø> (ø)` | :arrow_up: |\n| [src/transformers/modeling\\_tf\\_pytorch\\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/2961/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ190Zl9weXRvcmNoX3V0aWxzLnB5) | `89.93% <0%> (ø)` | :arrow_up: |\n| [src/transformers/modeling\\_roberta.py](https://codecov.io/gh/huggingface/transformers/pull/2961/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19yb2JlcnRhLnB5) | `95.71% <0%> (ø)` | :arrow_up: |\n| [src/transformers/modeling\\_xlnet.py](https://codecov.io/gh/huggingface/transformers/pull/2961/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ194bG5ldC5weQ==) | `75.77% <0%> (ø)` | :arrow_up: |\n| [src/transformers/modeling\\_ctrl.py](https://codecov.io/gh/huggingface/transformers/pull/2961/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19jdHJsLnB5) | `98.23% <0%> (ø)` | :arrow_up: |\n| [src/transformers/modeling\\_openai.py](https://codecov.io/gh/huggingface/transformers/pull/2961/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ19vcGVuYWkucHk=) | `81.54% <0%> (ø)` | :arrow_up: |\n| [src/transformers/modeling\\_utils.py](https://codecov.io/gh/huggingface/transformers/pull/2961/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9tb2RlbGluZ191dGlscy5weQ==) | `92.2% <0%> (-0.17%)` | :arrow_down: |\n\n------\n\n[Continue to review full report at Codecov](https://codecov.io/gh/huggingface/transformers/pull/2961?src=pr&el=continue).\n> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)\n> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`\n> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/2961?src=pr&el=footer). Last update [94ff2d6...bf62e7c](https://codecov.io/gh/huggingface/transformers/pull/2961?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).\n" ]

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[ "Looks like [sacremoses](https://github.com/alvations/sacremoses) already uses [Click](https://click.palletsprojects.com/en/7.x/) as a dependency so using Typer would be ideal as it's only dependency is Click and it provides a much nicer interface than Click using Python 3.6+ Type Hints", "Also, since Typer is using Python 3.6+ Type Hints this would require dropping Python 3.5. While that's not ideal it is the general trend for a lot projects these days as the benefits of using type hints and proper dict ordering are really high when it comes to testing and general usability.\r\n\r\nMore discussion here about Python 3.5 and whether it's worth supporting since only about a little over 1% of installs come from Python 3.5: https://github.com/huggingface/transformers/issues/2608", "So I don't think the issue is argument parsing, that code is pretty much declarative and will look the same in all implementations. \r\n\r\nWe have been experimenting with using lightning to simplify the interface for these models. Do you find the code here to be more readable?\r\n\r\nhttps://github.com/huggingface/transformers/blob/master/examples/ner/run_pl_ner.py\r\n\r\n", "### Code Readability\r\n\r\nI actually think we're talking about 2 different problems:\r\n\r\n1. Readability of the examples overall is not excellent. (This is addressed nicely with Pytorch Lightning)\r\n2. The management of command line args with argparse creates confusion as you're passing around untyped arguments to arbitrary functions. And declaring arguments is very verbose. Typer basically makes typed python functions into CLI's mostly automatically and cleans up the code a lot.\r\n\r\nI've implemented a couple draft PRs for using Typer.\r\n\r\n1. Example of migrating one example to Typer https://github.com/huggingface/transformers/pull/2962\r\n2. Full rewrite of the transformers-cli using Typer: https://github.com/huggingface/transformers/pull/2974\r\n\r\nTyper reduces the amount of code significantly in both cases while also making the functions easier to read and understand. \r\n\r\n\r\n### CLI Usability \r\n\r\nThere's a larger discussion about using CLI Arguments vs Options that should be had as well. \r\nMost of the examples are overly verbose to run using the existing CLI options.\r\n\r\nFor instance, in the run_generation.py example I migrated (PR 1 above) there are only 2 required options (model_type and model_name_or_path). I made these Typer Options to not break convention for now but they should both be arguments.\r\n\r\n\r\nThat way, instead of writing:\r\n\r\n```bash\r\npython examples/run_generation.py --model_type gpt2 --model_name_or_path distilgpt2\r\n```\r\n\r\nthe user can write something like:\r\n\r\n```bash\r\npython examples/run_generation.py gpt2 distilgpt2\r\n```\r\n\r\nAnd the docstring for the function can document that these arguments are required. Typer automatically uses the docstring in the help.\r\n\r\nSo here's the automatic help docs for run_generation\r\n\r\n```bash\r\npython examples/run_generation.py --help\r\n```\r\n\r\n```console\r\nUsage: run_generation.py [OPTIONS] MODEL_TYPE MODEL_NAME_OR_PATH\r\n\r\n Generate text based on a prompt using one of [gpt2, ctrl, openai-gpt,\r\n xlnet, transfo-xl, xlm] as the model_type and a a supported model name or\r\n path for that model_type\r\n\r\n e.g.\r\n\r\n $ python examples/run_generation.py gpt2 distilgpt2\r\n\r\nOptions:\r\n --prompt TEXT\r\n --length INTEGER\r\n --stop-token TEXT Token at which text generation is stopped\r\n --temperature FLOAT temperature of 1.0 has no effect, lower tend\r\n toward greedy sampling\r\n --repetition-penalty FLOAT primarily useful for CTRL model; in that\r\n case, use 1.2\r\n --k INTEGER\r\n --p FLOAT\r\n --padding-text TEXT Padding text for Transfo-XL and XLNet.\r\n --xlm-language TEXT Optional language when used with the XLM\r\n model\r\n --seed INTEGER random seed for initialization\r\n --no-cuda Don't use CUDA and run on CPU.\r\n --num-return-sequences INTEGER The number of samples to generate.\r\n --help Show this message and exit.\r\n```", "The work on transformers-cli (2) seems interesting as there are complex types there. I am pretty unconvinced on (1). The code reduction is mostly aesthetic, I don't see any really complexity wins. Given that I'm apt to stick with argparse as it is standard. (The argument/options thing could also be done in argparse. )", "Thanks for the feedback\r\n\r\nActually I think it's more standard to use a CLI parsing dependency over argparse these days. Not a huge deal and it's not my library but I've just heard the same feedback about argparse in the examples from a few colleagues around Microsoft which is why I decided to propose the change.\r\n\r\nIf you do have some time to give a quick review on (2) that would be awesome. I think the changes there offer a lot of clarity particularly with using the Enum types.", "@julien-c any thoughts on this? I don't think we want another dependency, but @kabirkhan did put a lot of work into restructuring CLI https://github.com/huggingface/transformers/pull/2974", "My two cents, or maybe just one cent: I have always been torn with this, the same with plac. It feels more verbose than argparse but also, it doesn't. \r\n\r\nHere, in this case, we currently already have the `register_subcommand`s so I think Typer actually makes sense. Looking at the code, it does greatly reduce redundancy (except for the app.command() calls). However, it is a lot less known (I think) and I still feel it is less intuitive than good ol' argparse. So if this were a vote, I'd vote aye, keeping in mind that it might be a \"learning curve\". On top of that, all future CLI scripts should also use this library to streamline the experience and development. As a bonus, dropping 3.5 support is an excellent side-effect in my opinion (Typing, f-strings, ordered dicts), but one might want to check how many users are on 3.5.", "@BramVanroy thanks for the input. Yeah the app.command() calls are annoying, fixed that with a for loop just now. I hear your point on the \"learning curve\" but Typer is truly very easy to learn and really well documented. It's built by tiangolo (same guy who made FastAPI). Also the current CLI already requires python 3.6", "@BramVanroy less than 1% of pip installs are on Python 3.5 according to https://pypistats.org/packages/transformers – we will probably drop it in the next couple of weeks or months\r\n\r\n@kabirkhan Thanks for the work you've put into those PRs! This is interesting, and analogous to ideas we've been discussing internally and here in other issues. More generally we are in the process of thinking about rebuilding our training example scripts in a more scalable/re-usable way. We'll link our first thoughts from here.", "I'll close this as we now have a very simple (100 lines of code) built-in argument parser named [HfArgumentParser](https://github.com/huggingface/transformers/blob/master/src/transformers/hf_argparser.py).\r\n\r\nExample scripts are now way cleaner after #3800.\r\n\r\nWill also close associated PR #2974. \r\n\r\nWould love to get your feedback @kabirkhan, thanks for prompting our reflection." ]

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[ "This is a known issue (cf. https://github.com/huggingface/transformers/pull/2928). It will be fixed in another (cleaner) PR, though." ]

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[ "Can somebody help me in fixing the failed test?", "Hi, thanks for your addition, that's really cool! Did you check the [contributions guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md#start-contributing-pull-requests)?\r\n\r\nYou should make sure you have the correct versions of `black`, `isort` and `flake8` installed and then run `make style`/`make quality` to identify the code quality issues.", "This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n" ]

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[ "# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/2955?src=pr&el=h1) Report\n> Merging [#2955](https://codecov.io/gh/huggingface/transformers/pull/2955?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/3e98f27e4a9bb0ac3d0fe24b94d30da42cdae8a7?src=pr&el=desc) will **decrease** coverage by `<.01%`.\n> The diff coverage is `66.66%`.\n\n[](https://codecov.io/gh/huggingface/transformers/pull/2955?src=pr&el=tree)\n\n```diff\n@@ Coverage Diff @@\n## master #2955 +/- ##\n=========================================\n- Coverage 76.1% 76.1% -0.01% \n=========================================\n Files 98 98 \n Lines 15946 15948 +2 \n=========================================\n+ Hits 12136 12137 +1 \n- Misses 3810 3811 +1\n```\n\n\n| [Impacted Files](https://codecov.io/gh/huggingface/transformers/pull/2955?src=pr&el=tree) | Coverage Δ | |\n|---|---|---|\n| [src/transformers/activations.py](https://codecov.io/gh/huggingface/transformers/pull/2955/diff?src=pr&el=tree#diff-c3JjL3RyYW5zZm9ybWVycy9hY3RpdmF0aW9ucy5weQ==) | `87.5% <66.66%> (-5.36%)` | :arrow_down: |\n\n------\n\n[Continue to review full report at Codecov](https://codecov.io/gh/huggingface/transformers/pull/2955?src=pr&el=continue).\n> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)\n> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`\n> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/2955?src=pr&el=footer). Last update [3e98f27...49c66bd](https://codecov.io/gh/huggingface/transformers/pull/2955?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).\n" ]

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[ "An error trace would be useful.", "> An error trace would be useful.\r\n\r\nThis is an error trace:\r\n\r\nF.softmax(t_logits_slct / self.temperature, dim=-1),\r\n File \"/opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py\", line 550, in __call__\r\n result = self.forward(*input, **kwargs)\r\n File \"/opt/conda/lib/python3.7/site-packages/torch/nn/modules/loss.py\", line 366, in forward\r\n return F.kl_div(input, target, reduction=self.reduction)\r\n File \"/opt/conda/lib/python3.7/site-packages/apex/amp/wrap.py\", line 28, in wrapper\r\n return orig_fn(*new_args, **kwargs)\r\n File \"/opt/conda/lib/python3.7/site-packages/torch/nn/functional.py\", line 1987, in kl_div\r\n reduced = torch.kl_div(input, target, reduction_enum)\r\nRuntimeError: CUDA out of memory. Tried to allocate 818.00 MiB (GPU 0; 10.76 GiB total capacity; 8.61 GiB already allocated; 787.44 MiB free; 9.19 GiB reserved in total by PyTorch)", "> 787.44 MiB free\r\n\r\nSo your GPU doesn't have enough memory available at that point. (Even if nvidia-smi says it is only using 70%.)\r\n\r\nThere are known issues with apex that it doesn't work well when you reload checkpoints and continue training in the same Python session. Does the same issue occur when you use torch DDP (not apex), no FP16, no amp?", "> So your GPU doesn't have enough memory available at that point. (Even if nvidia-smi says it is only using 70%.)\r\n\r\nYour point is right, but the strange thing is that this error can occur accidentally even if 99% of training time GPU consumption is less than 70%. (This happens even with tiny batch size).\r\n\r\nThe same error occurs with DDP, no FP16, no amp, moreover, I've also tried to run the distillation on a single GPU without distribution and the result is the same. ", "> There are known issues with apex that it doesn't work well when you reload checkpoints and continue training in the same Python session.\r\n\r\nBTW, I didn't reload checkpoint in the same python session. The distillation script was relaunched with loading the last checkpoint as soon as a new checkpoint was made, so the session is new.", "Hello @AzamatSultonov,\r\nAs far as I know, the memory leak mentioned in #1179 was fixed and was released a couple of updates ago in PyTorch. I didn't encounter similar problems recently.\r\n\r\nCan I ask what is your batch size? Have you tried a batch size of 1 (and slowly increase it)? 11GB is not a lot to fit two models (and train one of them).", "Hello @VictorSanh, the minimum batch size that I've tried was 3 (1 takes too much time), but OOM threw again (with available GPU memory).\r\n\r\nThe #1179 fix helped to prolong the training time for bigger batch size, but didn't solve the problem completely.\r\n\r\nBTW, I turned off the distributed way of training and launched the distillation on a single GPU with batch size 5 (periodically emptying CUDA cache) and the training goes for almost 48 hours without crashes.\r\nThis is still slow, but at least without OOM and losses are going down. \r\nI'll let you know as soon as the training will finish.", "Are your batches of constant total size? i.e. do you need always need the exact same amount of gpu memory to do your intermediate computations?\r\nThe reason why I suggested to start with a batch size of 1 is to detect this. You can always use gradient accumulation to simulate a bigger batch size.\r\nSomething that can help is also tracking the memory in a tensorboard.", "> Are your batches of constant total size? i.e. do you need always need the exact same amount of gpu memory to do your intermediate computations?\r\n\r\nYes, they are. \r\nAlso, in the last version of the script, I've changed the padding to the max length within the whole dataset instead of max length withing the current batch, to avoid tensor's memory reallocation by torch and reusing already allocated one.", "This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n", "I am facing this issue again, gpu usage is around 60% checked using `nvidia-smi`. In this tuning `batch_size` dosen't make sense, but still I had changed it but problem didn't solved.\r\n\r\nTrying to fine tune XLM roberta for urdu classification\r\ntransformers: 4.9.1\r\ntorch: 1.9.0+cu102" ]

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[ "You need to tell the model that you wish to get all the hidden states\r\n\r\n```python\r\nmodel = BertModel.from_pretrained('bert-base-uncased', output_hidden_states=True)\r\n```\r\n\r\nThen, you'll find your expected output as the third item in the output tuple:\r\n```python\r\n encoded_layers = model(tokens_tensor, segments_tensors)[2]\r\n```\r\n\r\nIIRC those layers now also include the embeddings (so 13 items in total), so you might need to update the index to get the second last layer. Might be better to use a negative index to be sure (-2)." ]

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[ "It is weird that there is a discrepancy between Windows and Linux.\r\n\r\nCould you try casting your variables `b_input_ids`, `b_input_mask` and `b_labels` to `torch.long`?\r\n\r\nAre you defining some of your variables on GPU? Does it fail if everything stays on CPU?", "I often prototype on Windows and push to Linux for final processing and I've never had this issue. Can you post a minimal working example that I can copy-paste to test? ", "Ok update I got the error to go away but to do it I had to do some janky fixes that I don't think should be necessary\r\n- So if I cast all my variables as ex: b_labels = b_labels.type(torch.LongTensor) and I train on CPU it works (but its super slow)\r\n- If I want to train on GPU I again cast the tensors to long but then have to cast all of my tensors to GPU (.to(device)) even though I already did it\r\n\r\n\r\n\r\n`\r\n\r\n device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\r\n model = BertForSequenceClassification.from_pretrained(\"bert-base-uncased\", num_labels=numlabels)\r\n \r\n model.cuda()\r\n #model = nn.DataParallel(model)\r\n\r\n # This variable contains all of the hyperparemeter information our training loop needs\r\n # Parameters:\r\n lr = 2e-5\r\n max_grad_norm = 1.0\r\n num_training_steps = 1000\r\n num_warmup_steps = 100\r\n warmup_proportion = float(num_warmup_steps) / float(num_training_steps) # 0.1\r\n\r\n ### In Transformers, optimizer and schedules are splitted and instantiated like this:\r\n optimizer = AdamW(model.parameters(), lr=lr, correct_bias=False) # To reproduce BertAdam specific behavior set correct_bias=False\r\n scheduler = get_linear_schedule_with_warmup(optimizer, num_warmup_steps=num_warmup_steps, num_training_steps=num_training_steps) # PyTorch scheduler\r\n\r\n t = [] \r\n\r\n # Store our loss and accuracy for plotting\r\n train_loss_set = []\r\n\r\n # Number of training epochs (authors recommend between 2 and 4)\r\n epochs = 5 #5:0.96\r\n\r\n # trange is a tqdm wrapper around the normal python range\r\n for _ in trange(epochs, desc=\"Epoch\"):\r\n # Training\r\n # Set our model to training mode (as opposed to evaluation mode)\r\n model.train()\r\n # Tracking variables\r\n tr_loss = 0\r\n nb_tr_examples, nb_tr_steps = 0, 0\r\n\r\n # Train the data for one epoch\r\n for step, batch in enumerate(train_dataloader):\r\n # Add batch to GPU\r\n batch = tuple(t.to(device) for t in batch)\r\n\r\n # Unpack the inputs from our dataloader\r\n b_input_ids, b_input_mask, b_labels = batch\r\n\r\n ###############Bug fix code####################\r\n b_input_ids = b_input_ids.type(torch.LongTensor)\r\n b_input_mask = b_input_mask.type(torch.LongTensor)\r\n b_labels = b_labels.type(torch.LongTensor)\r\n\r\n b_input_ids = b_input_ids.to(device)\r\n b_input_mask = b_input_mask.to(device)\r\n b_labels = b_labels.to(device)\r\n ############################################\r\n # Clear out the gradients (by default they accumulate)\r\n optimizer.zero_grad()\r\n \r\n # Forward pass\r\n outputs = model(input_ids = b_input_ids, attention_mask=b_input_mask, labels=b_labels)\r\n loss, logits = outputs[:2]\r\n\r\n loss.backward()\r\n torch.nn.utils.clip_grad_norm_(model.parameters(), max_grad_norm) # Gradient clipping is not in AdamW anymore (so you can use amp without issue)\r\n optimizer.step()\r\n scheduler.step()\r\n`\r\nVery strange \r\n(posted the code I thought would be useful to see let me know if you need to see more)", "You're doing `.to(device)` twice for your data (once in the tuple, once separately). It is hard to reproduce this because we don't have your data, so we don't know how you encode your data. What is example contents of `batch` to reproduce your issue?", "This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n", "> This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\r\n\r\nHad similar issue:\r\nYoung Sheldon's solution on below stackoverflow thread worked well.\r\n\r\nhttps://stackoverflow.com/questions/56360644/pytorch-runtimeerror-expected-tensor-for-argument-1-indices-to-have-scalar-t", "Having the same issue, funny thing is the whole model worked for training, but while running inference on test data the error automatically showed up", "\r\n> Having the same issue, funny thing is the whole model worked for training, but while running inference on test data the error automatically showed up\r\n\r\n\r\nExactly the same issue I am facing. I am using Amazon SageMaker notebook instance\r\n", "Hi,\r\n\r\nI'm working with transformers version 4.4.2 and getting this error when not passing in the `position_ids` kwarg to the model. Adding the following line in `transformers/models/bert/modeling_bert.py` on line 207 fixes the issue for me:\r\n```python\r\n position_ids = position_ids.to(torch.long)\r\n```\r\n\r\nOf course, you can do this work by passing in your own `position_ids`, but that's no fun.", "hi，I have met the same problem, just because use torch.Tensor( ),.when I check,I change it into torch.tensor,and it's OK.", "@doris-art \r\nHere's my work around. Assuming `params` is a dict that is passed to the `__call__` method of the model as `**kwargs`:\r\n\r\n```python\r\n# a bug in transformers 4.4.2 requires this\r\n# https://github.com/huggingface/transformers/issues/2952\r\ninput_ids = params['input_ids']\r\nseq_length = input_ids.size()[1]\r\nposition_ids = model.embeddings.position_ids\r\nposition_ids = position_ids[:, 0: seq_length].to(torch.long)\r\nparams['position_ids'] = position_ids\r\n```", "I am getting the same error. I am unable to resolve it. \r\n\r\n\r\n\r\n### I am using:\r\nPython implementation: CPython\r\nPython version : 3.7.12\r\nIPython version : 7.29.0\r\n\r\nnumpy : 1.19.5\r\npandas : 1.3.4\r\ntorch : 1.9.1\r\ntransformers: 4.12.5\r\n\r\nAny help would be greatly appreciated.", "I had the same issue in the past. after checking for the many issue for this error. i did some reverse engineering and found that my input been going as empty in the modal train. \r\nIf you pass the input sentence as empty then also faced the same error. I have resolved by filtering my dataset with null/empty sentence data point." ]

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[ "# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/2951?src=pr&el=h1) Report\n> Merging [#2951](https://codecov.io/gh/huggingface/transformers/pull/2951?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/3e98f27e4a9bb0ac3d0fe24b94d30da42cdae8a7?src=pr&el=desc) will **not change** coverage.\n> The diff coverage is `n/a`.\n\n[](https://codecov.io/gh/huggingface/transformers/pull/2951?src=pr&el=tree)\n\n```diff\n@@ Coverage Diff @@\n## master #2951 +/- ##\n======================================\n Coverage 76.1% 76.1% \n======================================\n Files 98 98 \n Lines 15946 15946 \n======================================\n Hits 12136 12136 \n Misses 3810 3810\n```\n\n\n\n------\n\n[Continue to review full report at Codecov](https://codecov.io/gh/huggingface/transformers/pull/2951?src=pr&el=continue).\n> **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta)\n> `Δ = absolute <relative> (impact)`, `ø = not affected`, `? = missing data`\n> Powered by [Codecov](https://codecov.io/gh/huggingface/transformers/pull/2951?src=pr&el=footer). Last update [3e98f27...d3f1583](https://codecov.io/gh/huggingface/transformers/pull/2951?src=pr&el=lastupdated). Read the [comment docs](https://docs.codecov.io/docs/pull-request-comments).\n", "👍 " ]

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[ "Duplicate of #2947", "Thanks @ranamihir @fte10kso, \r\n\r\nI'll have a look today. ", "Thanks @mfuntowicz!" ]

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[ "Yes, you should be able to just load the finetuned model into another architecture. The weights of overlapping parameter names will be loaded, and the others will be ignored.", "Awesome, thanks for the fast response ", "Okay, I came across a followup question: \r\nSo from what I can tell, the pre-trained models come with the weights for the BertForMaskedLM (as this has been used to do the pre-training).\r\nIs there a way to first fine-tune a model on a downstream task (like sentence classification) and than reload it as BertForMaskedLM, reusing the trained LM head? ", "This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n", "@BramVanroy could you provide a code example of how to this? I want to do sequential training on different tasks without having to save and load models from disk, or change layers directly myself. Ideally I would use some head switcher function or simply have `.from_pretrained()` accept model instances.", "@timellemeet Probably best to post a new issue or [a forum post](https://discuss.huggingface.co/)." ]

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[ "Please don't post screenshots. Post your code instead. Use code blocks to do that: https://help.github.com/en/github/writing-on-github/creating-and-highlighting-code-blocks", "sorry, I changed\r\n", "Could you give us the content of the `/share/nas165/Wendy/BERTYiChen2.0/trained_model/3371筆_word2Vec/config.json` file? I suspect it might set `vocab_size` to 768.", "ok, the config file like this , but vocab_size is 21128\r\n```\r\n{\r\n \"architectures\": [\r\n \"BertForMaskedLM\"\r\n ],\r\n \"attention_probs_dropout_prob\": 0.1,\r\n \"bos_token_id\": 0,\r\n \"directionality\": \"bidi\",\r\n \"do_sample\": false,\r\n \"eos_token_ids\": 0,\r\n \"finetuning_task\": null,\r\n \"hidden_act\": \"gelu\",\r\n \"hidden_dropout_prob\": 0.1,\r\n \"hidden_size\": 768,\r\n \"id2label\": {\r\n \"0\": \"LABEL_0\",\r\n \"1\": \"LABEL_1\"\r\n },\r\n \"initializer_range\": 0.02,\r\n \"intermediate_size\": 3072,\r\n \"is_decoder\": false,\r\n \"label2id\": {\r\n \"LABEL_0\": 0,\r\n \"LABEL_1\": 1\r\n },\r\n \"layer_norm_eps\": 1e-12,\r\n \"length_penalty\": 1.0,\r\n \"max_length\": 20,\r\n \"max_position_embeddings\": 512,\r\n \"num_attention_heads\": 12,\r\n \"num_beams\": 1,\r\n \"num_hidden_layers\": 12,\r\n \"num_labels\": 267,\r\n \"num_return_sequences\": 1,\r\n \"output_attentions\": false,\r\n \"output_hidden_states\": false,\r\n \"output_past\": true,\r\n \"pad_token_id\": 0,\r\n \"pooler_fc_size\": 768,\r\n \"pooler_num_attention_heads\": 12,\r\n \"pooler_num_fc_layers\": 3,\r\n \"pooler_size_per_head\": 128,\r\n \"pooler_type\": \"first_token_transform\",\r\n \"pruned_heads\": {},\r\n \"repetition_penalty\": 1.0,\r\n \"temperature\": 1.0,\r\n \"top_k\": 50,\r\n \"top_p\": 1.0,\r\n \"torchscript\": false,\r\n \"type_vocab_size\": 2,\r\n \"use_bfloat16\": false,\r\n \"vocab_size\": 21128\r\n}\r\n```\r\n", "This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n" ]