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renwei2024

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nemo-github-issues

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[ "You code indentation is not consistent, some places have 4 spaces, and other places have 2 spaces.\r\nNeMo code has 4 spaces always, so please make sure all your code have 4-space indentation.", "Thanks for fixing the comments, it looks much better now.\r\nThe total sequence length (size of t in THD format) is a constant, right? If so, we should have some padded tokens at the end? how those padded tokens are split across different CP ranks?", "This PR is stale because it has been open for 14 days with no activity. Remove stale label or comment or update or this will be closed in 7 days.", "This PR is stale because it has been open for 14 days with no activity. Remove stale label or comment or update or this will be closed in 7 days.", "This PR was closed because it has been inactive for 7 days since being marked as stale.", "> # What does this PR do ?\r\n> This PR adds context parallel support for packed dataset in THD format in NeMo in response to this TE PR: [NVIDIA/TransformerEngine#641](https://github.com/NVIDIA/TransformerEngine/pull/641). Currently, the TE PR requires each individual sequence length is divisible by (2*context_parallel_size).\r\n> \r\n> # Changes\r\n> * Add support to split packed dataset across different CP ranks in a load balanced way\r\n> * Add necessary paddings to dataset during packing stage to make sure the individual sequence length is a multiple of 2*cp_size\r\n> \r\n> **PR Type**:\r\n> \r\n> * [x] New Feature\r\n> * [ ] Bugfix\r\n> * [ ] Documentation\r\n\r\nHello, I have some problems with cp need seqlen divisibility world_size * 2. I see that you are padding data in the code, but this will cause the pad token id to enter the flash attention calculation. I don't know if this is correct.\r\n" ]

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[ "> Were you able to run this code successfully?\r\n\r\nTesting that currently, the rest API end points are visible and `get` method works successfully. However, `post` method with /v1/completions/ end point is failing and I am debugging that.", "\r\n\r\n\r\n> > Were you able to run this code successfully?\r\n> \r\n> Testing that currently, the rest API end points are visible and `get` method works successfully. However, `post` method with /v1/completions/ end point is failing and I am debugging that.\r\n\r\nWas able to run the code successfully with the /v1/completions/ endpoint. Here's the curl request sent and the output received.\r\n```python\r\ncurl -X POST http://localhost:8080/v1/completions/ \\\r\n-H \"Content-Type: application/json\" \\\r\n-d '{\r\n \"model\": \"LLama2-7B\",\r\n \"prompt\": \"Say this is a test\",\r\n \"max_tokens\": 512,\r\n \"temperature\": 1.0,\r\n \"top_p\": 0.0,\r\n \"n\": 1,\r\n \"stream\": false,\r\n \"frequency_penalty\": 1.0\r\n}'\r\n```\r\n```python\r\n{\"output\":\".\\nSay this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test. Say this is a test\"}\r\n```" ]

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[ "The files that had updates are:\r\nnemo/collections/common/tokenizers/text_to_speech/ipa_lexicon.py\r\nnemo/collections/common/tokenizers/text_to_speech/tokenizer_utils.py\r\nnemo/collections/common/tokenizers/text_to_speech/tts_tokenizers.py\r\nnemo/collections/tts/g2p/models/i18n_ipa.py\r\ntests/collections/common/tokenizers/text_to_speech/test_tokenizer_utils.py\r\ntests/collections/common/tokenizers/text_to_speech/test_tts_tokenizers.py\r\nnemo/collections/tts/g2p/models/ja_jp_g2p.py\r\nscripts/tts_dataset_files/ja_JP/ja_JP_wordtoipa.txt\r\n\r\n" ]

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[ "TE PR that updated the parameters: https://github.com/NVIDIA/TransformerEngine/pull/901", "CI passed (test that failed flaky & is now fixed): https://github.com/NVIDIA/NeMo/actions/runs/9702489435", "This change is no longer needed with new TE changes: https://github.com/NVIDIA/TransformerEngine/pull/986" ]

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[ "@erastorgueva-nv pls have a look at this bug", "Hi, I see 2 issues here.\r\n1. The code in `transcribe` is meant to be applied to short chunks of audio, but in `run` you feed in `audio_bytes` which is the audio samples for the whole audio of a single utterance. Instead, you should be splitting up `audio_bytes` into chunks, and then feeding those into `transcribe`.\r\n2. I don't think the beginning of `preprocess_audio` is correct. I haven't tested gigaspeech, but when I tried with some other samples on MCV and MLS, they were already in the range [-1, 1], so dividing by `32768.0` would have been unhelpful.\r\n\r\n\r\nalso @Enkar-Bolat please remove your HF token from the code snippet", "This issue is stale because it has been open for 30 days with no activity. Remove stale label or comment or this will be closed in 7 days.", "This issue was closed because it has been inactive for 7 days since being marked as stale." ]

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[ "I'm running into the same issue, is there any solution to this?", "https://github.com/NVIDIA/NeMo/blob/8dbe1daa267fa7182035c8d3c568efc416a636f9/nemo/collections/nlp/models/language_modeling/megatron_base_model.py#L1283\r\n\r\nCould be related to this line. Don't have time to check right now, but randomly stumbled upon this while trying to fix other FSDP errors across the codebase.", "This issue is stale because it has been open for 30 days with no activity. Remove stale label or comment or this will be closed in 7 days.", "This issue was closed because it has been inactive for 7 days since being marked as stale." ]

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[ "This issue is stale because it has been open for 30 days with no activity. Remove stale label or comment or this will be closed in 7 days.", "Please take a look.", "Could you try using NeMo 2.0 + FSDP and comparing? We're not planning to support NeMo 1.0 + FSDP.", "This issue is stale because it has been open for 30 days with no activity. Remove stale label or comment or this will be closed in 7 days.", "This issue was closed because it has been inactive for 7 days since being marked as stale." ]

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[ "Please note that clustering based speaker diarization is a type of self-supervised machine learning system, not a rule-based software. Thus, speaker diarization can generate incorrect results and such behavior should be regarded as the limitation in accuracy, not a type of bug.\r\n\r\nEspecially, there is no guarantee that the speaker diarization system would generate the same speaker assignment to the truncated shorter audio clips from the original audio clips.\r\n\r\nClosing since there is no clear ways to avoid this case." ]

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[ "I will try to look into this issue next week. It can be due to something broken in the cache-aware streaming script. Have you tried some of the already pretrained cache-aware models? Do they work properly?\r\n\r\nYou may use cache-aware with nemo but as far as I know, they are not supported in Riva yet. It is a work in progress. For now, you may use nemo for streaming cache-aware models.\r\n\r\nYou may take a look at this tutorial on how to use cache-aware models:\r\nhttps://github.com/NVIDIA/NeMo/blob/main/tutorials/asr/Online_ASR_Microphone_Demo_Cache_Aware_Streaming.ipynb\r\n\r\nWould you please try this tutorial and let me know if it works properly or not for your model?\r\n\r\n", "@VahidooX , I went through the tutorial already. I fine-tuned a model using the streaming config. When I infer the model offline it works, but when I put that model in a streaming setup I get the above results. I will attach videos in a moment", "Is it a confirmer or fastconformer?\nHave you tried this script?\n\nhttps://github.com/NVIDIA/NeMo/blob/main/examples/asr/asr_cache_aware_streaming/speech_to_text_cache_aware_streaming_infer.py", "This issue is stale because it has been open for 30 days with no activity. Remove stale label or comment or this will be closed in 7 days.", "This issue was closed because it has been inactive for 7 days since being marked as stale." ]

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[ "Hi @SJmdy \r\nDora is a planned feature in the near future. We plan on supporting it once to transition to NeMo 2.0 is mature.", "This issue is stale because it has been open for 30 days with no activity. Remove stale label or comment or this will be closed in 7 days.", "This issue was closed because it has been inactive for 7 days since being marked as stale." ]

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[ "This PR is stale because it has been open for 14 days with no activity. Remove stale label or comment or update or this will be closed in 7 days.", "This PR was closed because it has been inactive for 7 days since being marked as stale." ]

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[ "The error was due to a different pytorch version being installed outside of the container in `~/.local/lib/python3.10/site-packages`. Since my home directory was mounted the container prioritized this version over the one in the container and thus there was a mismatch between `torch` and `torchvision`. \r\n\r\nThe local Pytorch version was installed by mistake... So make sure to delete or unmount any python installations that might interfere with packages installed in the container. " ]

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[ "`+` like we talked offline, we have to work around global_rank being set incorrectly before `trainer.predict()` is called - the dataloader has to be initialized with the correct global_rank (and world_size) in order for lhotse's distributed sampler to work correctly", "trainer.global_rank is apriori set by PTL in slurm environment. It does not require model to be built or it's functions to be called c\r\n\r\nIs this a case where PTL cannot apriori detect global rank ?", "This PR is stale because it has been open for 14 days with no activity. Remove stale label or comment or update or this will be closed in 7 days.", "This PR was closed because it has been inactive for 7 days since being marked as stale.", "This PR is stale because it has been open for 14 days with no activity. Remove stale label or comment or update or this will be closed in 7 days.", "This PR was closed because it has been inactive for 7 days since being marked as stale.", "Jenkins", "[🤖]: Hi @karpnv 👋,\n\nI just wanted to let you know that, you know, a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11073753509) for this PR just finished successfully ✨\n\nSo it might be time to merge this PR or like to get some approvals 🚀\n\nBut I'm just a 🤖 so I'll leave it you what to do next.\n\nHave a great day! \n\n//cc @ko3n1g", "[🤖]: Hi @karpnv 👋,\n\nI just wanted to let you know that, you know, a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11073753509) for this PR just finished successfully ✨\n\nSo it might be time to merge this PR or like to get some approvals 🚀\n\nBut I'm just a 🤖 so I'll leave it you what to do next.\n\nHave a great day! \n\n//cc @ko3n1g", "[🤖]: Hi @karpnv 👋,\n\nI just wanted to let you know that, you know, a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11073753509) for this PR just finished successfully ✨\n\nSo it might be time to merge this PR or like to get some approvals 🚀\n\nBut I'm just a 🤖 so I'll leave it you what to do next.\n\nHave a great day! \n\n//cc @ko3n1g" ]

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[ "Hi @dachenlian,\r\nCould you try to specify --hparams_yaml param? You can find `hparams.yaml` file in train results folder. It should be in \"version_0\" or \"run_0\" folder.", "This issue is stale because it has been open for 30 days with no activity. Remove stale label or comment or this will be closed in 7 days.", "This issue was closed because it has been inactive for 7 days since being marked as stale." ]

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[ "We don't support export of the SLU model ", "This issue is stale because it has been open for 30 days with no activity. Remove stale label or comment or this will be closed in 7 days.", "This issue was closed because it has been inactive for 7 days since being marked as stale." ]

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[ "Hi @evodata123, the specific `'ApexGuardDefaults' is not defined` error you are seeing should be fixed by [this PR](https://github.com/NVIDIA/NeMo/pull/9732). But note that Megatron core is a required dependency of NeMo, so if Megatron core is not installed, you may see some orthogonal issues. ", "This issue is stale because it has been open for 30 days with no activity. Remove stale label or comment or this will be closed in 7 days.", "This issue was closed because it has been inactive for 7 days since being marked as stale." ]

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[ "This PR is stale because it has been open for 14 days with no activity. Remove stale label or comment or update or this will be closed in 7 days.", "This PR was closed because it has been inactive for 7 days since being marked as stale." ]

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[ "This PR is stale because it has been open for 14 days with no activity. Remove stale label or comment or update or this will be closed in 7 days.", "This PR was closed because it has been inactive for 7 days since being marked as stale." ]

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[ { "login": "titu1994", "id": 3048602, "node_id": "MDQ6VXNlcjMwNDg2MDI=", "avatar_url": "https://avatars.githubusercontent.com/u/3048602?v=4", "gravatar_id": "", "url": "https://api.github.com/users/titu1994", "html_url": "https://github.com/titu1994", "followers_url": "https://api.github.com/users/titu1994/followers", "following_url": "https://api.github.com/users/titu1994/following{/other_user}", "gists_url": "https://api.github.com/users/titu1994/gists{/gist_id}", "starred_url": "https://api.github.com/users/titu1994/starred{/owner}{/repo}", "subscriptions_url": "https://api.github.com/users/titu1994/subscriptions", "organizations_url": "https://api.github.com/users/titu1994/orgs", "repos_url": "https://api.github.com/users/titu1994/repos", "events_url": "https://api.github.com/users/titu1994/events{/privacy}", "received_events_url": "https://api.github.com/users/titu1994/received_events", "type": "User", "user_view_type": "public", "site_admin": false } ]

[ "You can use this model, which is a chunk aware model - https://huggingface.co/nvidia/stt_en_fastconformer_hybrid_large_streaming_multi", "Thank You @titu1994. I will try it.\r\nBut this has been trained on labeled English dataset. I want to understand the logic, how would it adapt to any other language?", "It's a practical limitation. You can either get a ordinary fast conformer in German or a chunk aware Conformer in English. Depends on what your priority is - streaming or transcript accuracy. We have tutorial showing language transfer " ]

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[ "Thanks for your inquiry. DeepSeek was in our roadmap but it has now been deprioritized. Here is a list of currently supported LLMs: https://docs.nvidia.com/nemo-framework/user-guide/latest/llms/index.html", "This issue is stale because it has been open for 30 days with no activity. Remove stale label or comment or this will be closed in 7 days.", "This issue was closed because it has been inactive for 7 days since being marked as stale." ]

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[ "For transducer, there were always 3 outputs in forward because it's just end encoder forward. During decoding we take those encoder outputs and pass them auto regressively to the decoder and joint. \r\n\r\nFor beam search support, @karpnv ", "This issue is stale because it has been open for 30 days with no activity. Remove stale label or comment or this will be closed in 7 days.", "This issue was closed because it has been inactive for 7 days since being marked as stale." ]

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[ "You will need to train your spectrogram generator / acoustic model with emotional data. Tag the emotional data as a new speaker and do inference with the emotional-speaker tag." ]

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[ "Please someone help me merge this PR pls, its only one line and blocking me from doing the work :)", "This PR is stale because it has been open for 14 days with no activity. Remove stale label or comment or update or this will be closed in 7 days.", "Thank you for reporting the issue. The suggested change is already in main https://github.com/NVIDIA/NeMo/blob/3e2bb2157fd99b963ae4c4da2464be754370c1c4/nemo/collections/nlp/models/language_modeling/megatron/gpt_layer_modelopt_spec.py#L15 so I'll close the MR" ]

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[ "This PR is stale because it has been open for 14 days with no activity. Remove stale label or comment or update or this will be closed in 7 days.", "This PR was closed because it has been inactive for 7 days since being marked as stale." ]

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[ "This PR is stale because it has been open for 14 days with no activity. Remove stale label or comment or update or this will be closed in 7 days.", "This PR was closed because it has been inactive for 7 days since being marked as stale." ]

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[ "This PR is stale because it has been open for 14 days with no activity. Remove stale label or comment or update or this will be closed in 7 days.", "This PR was closed because it has been inactive for 7 days since being marked as stale." ]

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[ "This PR is stale because it has been open for 14 days with no activity. Remove stale label or comment or update or this will be closed in 7 days." ]

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[ "Thanks, approved. Just please make sure that CI pipeline passes", "This PR is stale because it has been open for 14 days with no activity. Remove stale label or comment or update or this will be closed in 7 days.", "Hi @suiyoubi, do you think we could get this in? It just needs conflict resolution", "Hmm I think that @akoumpa extended https://github.com/NVIDIA/NeMo/blob/main/nemo/collections/nlp/models/language_modeling/megatron/gpt_layer_modelopt_spec.py to cover MoE.\r\n\r\nSo we can't really replace the spec unless we also enable MoE layer spec in https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/core/inference/gpt/model_specs.py", "This PR is stale because it has been open for 14 days with no activity. Remove stale label or comment or update or this will be closed in 7 days.", "This PR was closed because it has been inactive for 7 days since being marked as stale." ]

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[ "we will fix the mcore DDP prefix problem in a subsequent PR" ]