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renwei2024

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nemo-github-issues

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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 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.", "Run CICD", "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.", "<!-- pylint-output-strict-mode-false -->\n\nbeep boop 🤖: 🙏 The following files have warnings. In case you are familiar with these, please try helping us to improve the code base.\n\n---\n\nYour code was analyzed with PyLint. The following annotations have been identified:\n\n```\n************* Module nemo.collections.asr.data.audio_to_text_dataset\nnemo/collections/asr/data/audio_to_text_dataset.py:252:0: C0301: Line too long (148/119) (line-too-long)\nnemo/collections/asr/data/audio_to_text_dataset.py:339:0: C0301: Line too long (175/119) (line-too-long)\nnemo/collections/asr/data/audio_to_text_dataset.py:434:0: C0301: Line too long (173/119) (line-too-long)\nnemo/collections/asr/data/audio_to_text_dataset.py:506:0: C0301: Line too long (125/119) (line-too-long)\nnemo/collections/asr/data/audio_to_text_dataset.py:557:0: C0301: Line too long (125/119) (line-too-long)\nnemo/collections/asr/data/audio_to_text_dataset.py:905:0: C0301: Line too long (130/119) (line-too-long)\nnemo/collections/asr/data/audio_to_text_dataset.py:917:0: C0301: Line too long (127/119) (line-too-long)\nnemo/collections/asr/data/audio_to_text_dataset.py:925:0: C0301: Line too long (125/119) (line-too-long)\nnemo/collections/asr/data/audio_to_text_dataset.py:939:0: C0301: Line too long (149/119) (line-too-long)\nnemo/collections/asr/data/audio_to_text_dataset.py:951:0: C0301: Line too long (152/119) (line-too-long)\nnemo/collections/asr/data/audio_to_text_dataset.py:977:0: C0301: Line too long (126/119) (line-too-long)\nnemo/collections/asr/data/audio_to_text_dataset.py:406:0: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/asr/data/audio_to_text_dataset.py:846:0: C0115: Missing class docstring (missing-class-docstring)\nnemo/collections/asr/data/audio_to_text_dataset.py:853:4: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/asr/data/audio_to_text_dataset.py:889:4: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/asr/data/audio_to_text_dataset.py:894:0: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/asr/data/audio_to_text_dataset.py:912:0: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/asr/data/audio_to_text_dataset.py:943:0: C0116: Missing function or method docstring (missing-function-docstring)\n\n-----------------------------------\nYour code has been rated at 9.46/10\n```\n\n---\n\nThank you for improving NeMo's documentation!", "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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[ "@pablo-garay @ko3n1g This is the CICD for [MR10338](https://github.com/NVIDIA/NeMo/pull/10338) (SSMs migration to NeMo 2.0; already merged). I have a couple of questions/notes:\r\n\r\n- Is the freeze already in place? If so could you point me to the release branch so adjust?\r\n- The secret detector is a False positive I guess, and is not due to my changes", "> @pablo-garay @ko3n1g This is the CICD for [MR10338](https://github.com/NVIDIA/NeMo/pull/10338) (SSMs migration to NeMo 2.0; already merged). I have a couple of questions/notes:\r\n> \r\n> * Is the freeze already in place? If so could you point me to the release branch so adjust?\r\n> * The secret detector is a False positive I guess, and is not due to my changes\r\n\r\nHey @JRD971000 , yeah its `r2.0.0`. \r\n\r\nHowever starting this release we change the cherry-pick order, I was about to announce it. For a cherry-pick, you just need to add the label of the release branch (in this case: `r2.0.0`) to your PR (i just did that for you) and merge into main. Our automation will do the rest for you ", "> > @pablo-garay @ko3n1g This is the CICD for [MR10338](https://github.com/NVIDIA/NeMo/pull/10338) (SSMs migration to NeMo 2.0; already merged). I have a couple of questions/notes:\r\n> > \r\n> > * Is the freeze already in place? If so could you point me to the release branch so adjust?\r\n> > * The secret detector is a False positive I guess, and is not due to my changes\r\n> \r\n> Hey @JRD971000 , yeah its `r2.0.0`.\r\n> \r\n> However starting this release we change the cherry-pick order, I was about to announce it. For a cherry-pick, you just need to add the label of the release branch (in this case: `r2.0.0`) to your PR (i just did that for you) and merge into main. Our automation will do the rest for you\r\n\r\nThis is an awesome feature, thanks a lot Oliver!", "And regarding the secrets detector, @JRD971000 , yeah that's indeed weird. I will try to update the baseline again, it should definitely not flag your PR!", "> And regarding the secrets detector, @JRD971000 , yeah that's indeed weird. I will try to update the baseline again, it should definitely not flag your PR!\r\n\r\nYeah it currently doesn't let me run CICD, all the tests skip due to this secret detector failure ", "> > And regarding the secrets detector, @JRD971000 , yeah that's indeed weird. I will try to update the baseline again, it should definitely not flag your PR!\r\n> \r\n> Yeah it currently doesn't let me run CICD, all the tests skip due to this secret detector failure\r\n\r\nThat actually sounds like a different problem that (also) shouldn't happen. We cancel pipelines/workflow runs automatically if a new commit is added. Maybe that's what happend here? ", "After merging the updated secrets baseline into this branch, the secrets job passes. The main CICD workflow also runs, so I think we're ready set", "> After merging the updated secrets baseline into this branch, the secrets job passes. The main CICD workflow also runs, so I think we're ready set\r\n\r\nAwesome, thanks Oliver!" ]

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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.", "This issue was closed because it has been inactive for 7 days since being marked as stale." ]

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[ "I ended up also failing with the above Colab notebook \n```Requirement already satisfied: wget in /usr/local/lib/python3.10/dist-packages (3.2)\nReading package lists... Done\nBuilding dependency tree... Done\nReading state information... Done\nlibsndfile1 is already the newest version (1.0.31-2ubuntu0.1).\nffmpeg is already the newest version (7:4.4.2-0ubuntu0.22.04.1).\nsox is already the newest version (14.4.2+git20190427-2+deb11u2ubuntu0.22.04.1).\n0 upgraded, 0 newly installed, 0 to remove and 49 not upgraded.\nRequirement already satisfied: text-unidecode in /usr/local/lib/python3.10/dist-packages (1.3)\nDEPRECATION: git+https://github.com/NVIDIA/[email protected]#egg=nemo_toolkit[all] contains an egg fragment with a non-PEP 508 name pip 25.0 will enforce this behaviour change. A possible replacement is to use the req @ url syntax, and remove the egg fragment. Discussion can be found at https://github.com/pypa/pip/issues/11617\nCollecting nemo_toolkit (from nemo_toolkit[all])\n Cloning https://github.com/NVIDIA/NeMo.git (to revision r2.0.0rc0) to /tmp/pip-install-9472jaza/nemo-toolkit_ecfb496054e54de098f53629b06f0ccc\n Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA/NeMo.git /tmp/pip-install-9472jaza/nemo-toolkit_ecfb496054e54de098f53629b06f0ccc\n Running command git checkout -b r2.0.0rc0 --track origin/r2.0.0rc0\n Switched to a new branch 'r2.0.0rc0'\n Branch 'r2.0.0rc0' set up to track remote branch 'r2.0.0rc0' from 'origin'.\n Resolved https://github.com/NVIDIA/NeMo.git to commit d02bb32a36eecab15e2782839eb5b6838df5cb88\n Installing build dependencies ... done\n Getting requirements to build wheel ... done\n Preparing metadata (pyproject.toml) ... done\nCollecting fiddle (from nemo_toolkit->nemo_toolkit[all])\n Using cached fiddle-0.3.0-py3-none-any.whl.metadata (2.3 kB)\nRequirement already satisfied: huggingface-hub>=0.20.3 in /usr/local/lib/python3.10/dist-packages (from nemo_toolkit->nemo_toolkit[all]) (0.24.7)\nRequirement already satisfied: numba in /usr/local/lib/python3.10/dist-packages (from nemo_toolkit->nemo_toolkit[all]) (0.60.0)\nRequirement already satisfied: numpy>=1.22 in /usr/local/lib/python3.10/dist-packages (from nemo_toolkit->nemo_toolkit[all]) (1.26.4)\nCollecting onnx>=1.7.0 (from nemo_toolkit->nemo_toolkit[all])\n Using cached onnx-1.16.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (16 kB)\nRequirement already satisfied: python-dateutil in /usr/local/lib/python3.10/dist-packages (from nemo_toolkit->nemo_toolkit[all]) (2.9.0)\nCollecting ruamel.yaml (from nemo_toolkit->nemo_toolkit[all])\n Using cached ruamel.yaml-0.18.6-py3-none-any.whl.metadata (23 kB)\nRequirement already satisfied: scikit-learn in /usr/local/lib/python3.10/dist-packages (from nemo_toolkit->nemo_toolkit[all]) (1.3.2)\nRequirement already satisfied: setuptools>=65.5.1 in /usr/local/lib/python3.10/dist-packages (from nemo_toolkit->nemo_toolkit[all]) (71.0.4)\nRequirement already satisfied: tensorboard in /usr/local/lib/python3.10/dist-packages (from nemo_toolkit->nemo_toolkit[all]) (2.17.0)\nRequirement already satisfied: text-unidecode in /usr/local/lib/python3.10/dist-packages (from nemo_toolkit->nemo_toolkit[all]) (1.3)\nRequirement already satisfied: torch in /usr/local/lib/python3.10/dist-packages (from nemo_toolkit->nemo_toolkit[all]) (2.4.1+cu121)\nRequirement already satisfied: tqdm>=4.41.0 in /usr/local/lib/python3.10/dist-packages (from nemo_toolkit->nemo_toolkit[all]) (4.66.5)\nRequirement already satisfied: wget in /usr/local/lib/python3.10/dist-packages (from nemo_toolkit->nemo_toolkit[all]) (3.2)\nRequirement already satisfied: wrapt in /usr/local/lib/python3.10/dist-packages (from nemo_toolkit->nemo_toolkit[all]) (1.16.0)\nCollecting black~=24.3 (from nemo_toolkit->nemo_toolkit[all])\n Using cached black-24.8.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl.metadata (78 kB)\nCollecting click==8.0.2 (from nemo_toolkit->nemo_toolkit[all])\n Using cached click-8.0.2-py3-none-any.whl.metadata (3.2 kB)\nCollecting isort<6.0.0,>5.1.0 (from nemo_toolkit->nemo_toolkit[all])\n Using cached isort-5.13.2-py3-none-any.whl.metadata (12 kB)\nCollecting parameterized (from nemo_toolkit->nemo_toolkit[all])\n Using cached parameterized-0.9.0-py2.py3-none-any.whl.metadata (18 kB)\nRequirement already satisfied: pytest in /usr/local/lib/python3.10/dist-packages (from nemo_toolkit->nemo_toolkit[all]) (7.4.4)\nCollecting pytest-mock (from nemo_toolkit->nemo_toolkit[all])\n Using cached pytest_mock-3.14.0-py3-none-any.whl.metadata (3.8 kB)\nCollecting pytest-runner (from nemo_toolkit->nemo_toolkit[all])\n Using cached pytest_runner-6.0.1-py3-none-any.whl.metadata (7.3 kB)\nRequirement already satisfied: sphinx in /usr/local/lib/python3.10/dist-packages (from nemo_toolkit->nemo_toolkit[all]) (5.0.2)\nCollecting sphinxcontrib-bibtex (from nemo_toolkit->nemo_toolkit[all])\n Using cached sphinxcontrib_bibtex-2.6.3-py3-none-any.whl.metadata (6.3 kB)\nCollecting wandb (from nemo_toolkit->nemo_toolkit[all])\n Using cached wandb-0.18.1-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (9.6 kB)\nRequirement already satisfied: cloudpickle in /usr/local/lib/python3.10/dist-packages (from nemo_toolkit->nemo_toolkit[all]) (2.2.1)\nCollecting hydra-core<=1.3.2,>1.3 (from nemo_toolkit->nemo_toolkit[all])\n Using cached hydra_core-1.3.2-py3-none-any.whl.metadata (5.5 kB)\nCollecting omegaconf<=2.3 (from nemo_toolkit->nemo_toolkit[all])\n Using cached omegaconf-2.3.0-py3-none-any.whl.metadata (3.9 kB)\nCollecting pytorch-lightning>=2.2.1 (from nemo_toolkit->nemo_toolkit[all])\n Using cached pytorch_lightning-2.4.0-py3-none-any.whl.metadata (21 kB)\nCollecting torchmetrics>=0.11.0 (from nemo_toolkit->nemo_toolkit[all])\n Using cached torchmetrics-1.4.2-py3-none-any.whl.metadata (19 kB)\nCollecting transformers<=4.40.2,>=4.36.0 (from nemo_toolkit->nemo_toolkit[all])\n Using cached transformers-4.40.2-py3-none-any.whl.metadata (137 kB)\nCollecting webdataset>=0.2.86 (from nemo_toolkit->nemo_toolkit[all])\n Using cached webdataset-0.2.100-py3-none-any.whl.metadata (12 kB)\nCollecting datasets (from nemo_toolkit->nemo_toolkit[all])\n Using cached datasets-3.0.0-py3-none-any.whl.metadata (19 kB)\nRequirement already satisfied: inflect in /usr/local/lib/python3.10/dist-packages (from nemo_toolkit->nemo_toolkit[all]) (7.4.0)\nRequirement already satisfied: pandas in /usr/local/lib/python3.10/dist-packages (from nemo_toolkit->nemo_toolkit[all]) (2.1.4)\nCollecting sacremoses>=0.0.43 (from nemo_toolkit->nemo_toolkit[all])\n Using cached sacremoses-0.1.1-py3-none-any.whl.metadata (8.3 kB)\nRequirement already satisfied: sentencepiece<1.0.0 in /usr/local/lib/python3.10/dist-packages (from nemo_toolkit->nemo_toolkit[all]) (0.1.99)\nCollecting braceexpand (from nemo_toolkit->nemo_toolkit[all])\n Using cached braceexpand-0.1.7-py2.py3-none-any.whl.metadata (3.0 kB)\nRequirement already satisfied: editdistance in /usr/local/lib/python3.10/dist-packages (from nemo_toolkit->nemo_toolkit[all]) (0.8.1)\nRequirement already satisfied: einops in /usr/local/lib/python3.10/dist-packages (from nemo_toolkit->nemo_toolkit[all]) (0.8.0)\nCollecting g2p-en (from nemo_toolkit->nemo_toolkit[all])\n Using cached g2p_en-2.1.0-py3-none-any.whl.metadata (4.5 kB)\nRequirement already satisfied: ipywidgets in /usr/local/lib/python3.10/dist-packages (from nemo_toolkit->nemo_toolkit[all]) (7.7.1)\nCollecting jiwer (from nemo_toolkit->nemo_toolkit[all])\n Using cached jiwer-3.0.4-py3-none-any.whl.metadata (2.6 kB)\nCollecting kaldi-python-io (from nemo_toolkit->nemo_toolkit[all])\n Using cached kaldi_python_io-1.2.2-py3-none-any.whl\nCollecting kaldiio (from nemo_toolkit->nemo_toolkit[all])\n Using cached kaldiio-2.18.0-py3-none-any.whl.metadata (13 kB)\nCollecting lhotse>=1.22.0 (from nemo_toolkit->nemo_toolkit[all])\n Using cached lhotse-1.27.0-py3-none-any.whl.metadata (17 kB)\nRequirement already satisfied: librosa>=0.10.0 in /usr/local/lib/python3.10/dist-packages (from nemo_toolkit->nemo_toolkit[all]) (0.10.2.post1)\nCollecting marshmallow (from nemo_toolkit->nemo_toolkit[all])\n Using cached marshmallow-3.22.0-py3-none-any.whl.metadata (7.2 kB)\nRequirement already satisfied: matplotlib in /usr/local/lib/python3.10/dist-packages (from nemo_toolkit->nemo_toolkit[all]) (3.7.1)\nRequirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from nemo_toolkit->nemo_toolkit[all]) (24.1)\nCollecting pyannote.core (from nemo_toolkit->nemo_toolkit[all])\n Using cached pyannote.core-5.0.0-py3-none-any.whl.metadata (1.4 kB)\nCollecting pyannote.metrics (from nemo_toolkit->nemo_toolkit[all])\n Using cached pyannote.metrics-3.2.1-py3-none-any.whl.metadata (1.3 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(5.3 kB)\nCollecting boto3 (from nemo_toolkit->nemo_toolkit[all])\n Using cached boto3-1.35.23-py3-none-any.whl.metadata (6.6 kB)\nCollecting causal-conv1d==1.2.0.post2 (from nemo_toolkit->nemo_toolkit[all])\n Using cached causal_conv1d-1.2.0.post2.tar.gz (7.1 kB)\n Preparing metadata (setup.py) ... done\nCollecting faiss-cpu (from nemo_toolkit->nemo_toolkit[all])\n Using cached faiss_cpu-1.8.0.post1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (3.7 kB)\nCollecting fasttext (from nemo_toolkit->nemo_toolkit[all])\n Using cached fasttext-0.9.3-cp310-cp310-linux_x86_64.whl\nCollecting flask-restful (from nemo_toolkit->nemo_toolkit[all])\n Using cached Flask_RESTful-0.3.10-py2.py3-none-any.whl.metadata (1.0 kB)\nCollecting ftfy (from nemo_toolkit->nemo_toolkit[all])\n Using cached ftfy-6.2.3-py3-none-any.whl.metadata (7.8 kB)\nRequirement already satisfied: gdown in /usr/local/lib/python3.10/dist-packages (from nemo_toolkit->nemo_toolkit[all]) (5.1.0)\nRequirement 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sentry_sdk-2.14.0-py2.py3-none-any.whl (311 kB)\nUsing cached trampoline-0.1.2-py3-none-any.whl (5.2 kB)\nUsing cached colorama-0.4.6-py2.py3-none-any.whl (25 kB)\nUsing cached fasteners-0.19-py3-none-any.whl (18 kB)\nUsing cached Levenshtein-0.22.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (172 kB)\nUsing cached libcst-1.4.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.3 MB)\nUsing cached loguru-0.7.2-py3-none-any.whl (62 kB)\nUsing cached multiprocess-0.70.16-py310-none-any.whl (134 kB)\nUsing cached ninja-1.11.1.1-py2.py3-none-manylinux1_x86_64.manylinux_2_5_x86_64.whl (307 kB)\nUsing cached plac-1.4.3-py2.py3-none-any.whl (22 kB)\nUsing cached portalocker-2.10.1-py3-none-any.whl (18 kB)\nUsing cached setproctitle-1.3.3-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (30 kB)\nUsing cached timm-1.0.9-py3-none-any.whl (2.3 MB)\nUsing cached xxhash-3.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (194 kB)\nUsing cached gitdb-4.0.11-py3-none-any.whl (62 kB)\nUsing cached jedi-0.19.1-py2.py3-none-any.whl (1.6 MB)\nUsing cached latexcodec-3.0.0-py3-none-any.whl (18 kB)\nUsing cached smmap-5.0.1-py3-none-any.whl (24 kB)\nBuilding wheels for collected packages: nemo_toolkit, causal-conv1d\n Building wheel for nemo_toolkit (pyproject.toml) ... done\n Created wheel for nemo_toolkit: filename=nemo_toolkit-2.0.0rc0-py3-none-any.whl size=3638332 sha256=8edb264054cfb671c5a38b8244e5d3c50eac27b76ec0c34da871b752f19f1f20\n Stored in directory: /tmp/pip-ephem-wheel-cache-fvb_82uv/wheels/0e/bb/ab/27e77a2c5e6f5b7f87468678c238256a315ec40fd5fb4deeae\n error: subprocess-exited-with-error\n \n × python setup.py bdist_wheel did not run successfully.\n │ exit code: 1\n ╰─> See above for output.\n \n note: This error originates from a subprocess, and is likely not a problem with pip.\n Building wheel for causal-conv1d (setup.py) ... error\n ERROR: Failed building wheel for causal-conv1d\n Running setup.py clean for causal-conv1d\nSuccessfully built nemo_toolkit\nFailed to build causal-conv1d\nERROR: ERROR: Failed to build installable wheels for some pyproject.toml based projects (causal-conv1d)```", "It was removed as a requirement recently, installation shouldn;t fail now. https://github.com/NVIDIA/NeMo/pull/9575/files#diff-b71fb127396cc3ef666af80909ffd639f1b4324db8e090a7adf6791511f17b5e \n\nPlease pull again and re run", "This still fails as of today for installation of mamba-ssm==2.2.2\n\nThis workaround worked for me on Colab\n\n```\n!wget https://github.com/state-spaces/mamba/releases/download/v2.2.2/mamba_ssm-2.2.2+cu118torch2.1cxx11abiFALSE-cp310-cp310-linux_x86_64.whl\n\n!pip install mamba_ssm-2.2.2+cu118torch2.1cxx11abiFALSE-cp310-cp310-linux_x86_64.whl\n\nBRANCH = 'main'\n!python -m pip install git+https://github.com/NVIDIA/NeMo.git@$BRANCH#egg=nemo_toolkit[all]\n\n!pip install megatron-core\n```\nI could then import \n\n```\n# Import NeMo and it's ASR, NLP and TTS collections\nimport nemo\n# Import Speech Recognition collection\nimport nemo.collections.asr as nemo_asr\n# Import Natural Language Processing collection\nimport nemo.collections.nlp as nemo_nlp\n# Import Speech Synthesis collection\nimport nemo.collections.tts as nemo_tts\n# We'll use this to listen to audio\nimport IPython\n```" ]

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[ "\r\n\r\nCI passed\r\n\r\n> Can we make the the unit tests required?\r\n\r\ndone", "CI passed https://github.com/NVIDIA/NeMo/actions/runs/10732427046/job/29771216029?pr=10365" ]

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[ "Thanks @pbelevich, whenever ready please ping me so I can run the CI. ", "@akoumpa could you please run the CI? ", "@akoumpa I don't know why CI didn't run on this PR", "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.", "@akoumpa could you please take a look?", "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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[ "LGTM. Thanks!" ]

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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.", "changes are incorporated in #10645" ]

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[ "CI passed: https://github.com/NVIDIA/NeMo/actions/runs/11155543233" ]

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[ "Please add some doc-strings to all functions + some tests like outlined in the [ADD-RECIPE.md](https://github.com/NVIDIA/NeMo/blob/main/nemo/collections/llm/recipes/ADD-RECIPE.md)", "@marcromeyn I looked through current unit test. Seems like `test_trainer_parallelism_options` is included in `test_trainer` in `test_llama3_8b_16k.py`", "Ah yeah good point! Then just please add some doc-strings. We want to treat the recipes as part of our public-API which means we want doc-strings. We are planning to use these doc-strings as well to communicate which recipes we test on an ongoing basis etc.", "Closing this in favor of https://github.com/NVIDIA/NeMo/pull/10432" ]

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[ "This is closed because FSDP2 will be supported in megatron core. A separate PR #10545 is created to use the megatron code path (instead of directly from torch)." ]

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[ "Can you please show how you solve this problem, thx! I'm encountering this same problem.\n\nFileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmp6d5snvot/model_weights/model.decoder.layers.self_attention.core_attention._extra_state/shard_0_32.pt'\n", "@wittysam hello have you solved the problem im facing the same issue\n", "@SrinivasaGogul No, the problem remains with NeMo version 24.09. But I switched to the older version of 24.07, which works out the problem.", "@wittysam yeah, I have also switched to older version it worked. Thanks for the reply." ]

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[ "Manually re-run so that mcore commits gets updated to latest commit", "CI passed: https://github.com/NVIDIA/NeMo/actions/runs/10725237263" ]

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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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[ "hey @pstjohn, adding support for `uv` should be fine, but this PR has 1300 and 8 changed file - I guess your auto-formatter ran across the whole repo. While such a refactoring PR will most likely come in future - would you mind separating the actual Pyproject.toml change out of this PR? \r\n\r\nLet's handle refactoring and pyproject in separate PRs to make triaging easier in case something breaks", "Huh - that's super odd, I don't remember making those commits 😆 . Yeah agreed, I'm not intending to make any formatting suggestions.\r\n\r\n**edit**: I think those came from the `reformat_with_isort_and_black`, I must have made a change that caused it to reformat the entire repo. Looks like it's happy with the reduced set of changes now", "Completes: https://jirasw.nvidia.com/browse/CDISCOVERY-4417" ]

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[ "thanks for the explanations!" ]

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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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[ "> CI test? :)\r\n\r\n@pablo-garay is working on this. We have such a test but apparently was not working properly." ]

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[ "Reviewed, looks good, thanks.\r\n\r\n@oyilmaz-nvidia I think this is a good and worthwhile improvement in the codebase, I'd suggest we merge it", "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." ]

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[ "This is pending an mcore MR (2030).", "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." ]

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[ "Thanks for this, looks good! My one comment is that we want to move away from scripts in the example-dir that we use inside GH-actions etc. For that, we would like to move to using a recipe (like we defined for many models [here](https://github.com/NVIDIA/NeMo/tree/e76afdfc28a1835fcf8aac97c07261e24ca0407d/nemo/collections/llm/recipes), a recipe should contain everything for training so model/data/trainer/etc.). \r\n\r\nWe are currently working on automatically exposing those in the CLI, for more docs around that see [this](https://github.com/NVIDIA/NeMo/blob/e76afdfc28a1835fcf8aac97c07261e24ca0407d/examples/llm/pretrain/README.md) readme inside this [WIP PR](https://github.com/NVIDIA/NeMo/pull/10300).\r\n\r\nSo would be great if you could add one (or a few) recipes for this model, you could for instance take llama3_8b as an [example](https://github.com/NVIDIA/NeMo/blob/e76afdfc28a1835fcf8aac97c07261e24ca0407d/nemo/collections/llm/recipes/llama3_8b.py).", "> Thanks for this, looks good! My one comment is that we want to move away from scripts in the example-dir that we use inside GH-actions etc. For that, we would like to move to using a recipe (like we defined for many models [here](https://github.com/NVIDIA/NeMo/tree/e76afdfc28a1835fcf8aac97c07261e24ca0407d/nemo/collections/llm/recipes), a recipe should contain everything for training so model/data/trainer/etc.).\r\n> \r\n> We are currently working on automatically exposing those in the CLI, for more docs around that see [this](https://github.com/NVIDIA/NeMo/blob/e76afdfc28a1835fcf8aac97c07261e24ca0407d/examples/llm/pretrain/README.md) readme inside this [WIP PR](https://github.com/NVIDIA/NeMo/pull/10300).\r\n> \r\n> So would be great if you could add one (or a few) recipes for this model, you could for instance take llama3_8b as an [example](https://github.com/NVIDIA/NeMo/blob/e76afdfc28a1835fcf8aac97c07261e24ca0407d/nemo/collections/llm/recipes/llama3_8b.py).\r\n\r\n@marcromeyn Thanks for your comment, I will remove the script from the MR" ]

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[ "Hi, today I changed the other two audios by using the same code and it worked. The duration of these two audios are 29.131020408163266s and 17.04204081632653s respectively. And the duration of the failed one is 29.861043083900228s. All of these three audios are WAV format. I don't know what happened, could anyone please help me deal with this? ", "I just used ffprobe to check the meta info, it shows the failed one is stereo, the other two are mono. I think that's the reason. And I tried converting stereo audio to mono, then use the same code, it worked." ]

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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.", "This issue was closed because it has been inactive for 7 days since being marked as stale." ]

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[ "I got the same bug ", "When I comment 339-342 lines in \n.local/lib/python3.10/site-packages/nemo/collections/asr/parts/utils/asr_confidence_utils.py\nthe script works.\n```\n # OmegaConf.structured ensures that post_init check is always executed\n #confidence_cfg = OmegaConf.structured(\n # ConfidenceConfig() if confidence_cfg is None else ConfidenceConfig(**confidence_cfg)\n #)\n #self.confidence_method_cfg = confidence_cfg.method_cfg\n```\n", "This could happen when cfg defers from from the restored model config. Can you post the version you were using? ", "> This could happen when cfg defers from from the restored model config. Can you post the version you were using?\n\nThe version is \nnemo_toolkit 1.23.0\nFrankly I am not remember that I touch model config.\nAlways I prefer to use default configuration. ", "I fixed this problem by override my model, removing 'tdt_include_duration' in config of my model", "This problem occurs because conflicting between nemo versions " ]

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[ "Sorry, I have not tried with the newest dev container. I will give it a try and I will close the issue if it gets resolved.", "Yeah it works in the newest container." ]

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[ "can we add some test for async ckpt and make sure unfinished checkpoints are not present once finished?", "> can we add some test for async ckpt and make sure unfinished checkpoints are not present once finished?\r\n\r\nYeah for sure, but I would like to address it in a separate PR since there's no easy way to add this test as of now." ]

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[ "Closed in favor of https://github.com/NVIDIA/NeMo/pull/10242" ]

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[ "Will model weights be open after merge?", "> Will model weights be open after merge?\r\n\r\n@sphmel Yes we will opensource the checkpoints as well, after PR is merged", "@stevehuang52 PR is merged! Are checkpoints, and any usage guide available now? I can not find in docs, and this repo", "Hi @sphmel, the docs and usage guide will be added by another [PR](https://github.com/NVIDIA/NeMo/pull/10804) (work in progress). As for checkpoint release, I'm sorry that some LibriLight audios used in training NEST are no longer available for public usage, and we have to re-train the model without those audios. I'll keep you posted as soon as we get new checkpoints. Thanks for your patience~!", "@stevehuang52 Is there any update on checkpoint release? ", "@sphmel the checkpoints are ready, just need some legal review process before release, I'll finish them this month.", "@sphmel Sorry for the delay, the checkpoints are available on HuggingFace:\r\n- https://huggingface.co/nvidia/ssl_en_nest_large_v1.0\r\n- https://huggingface.co/nvidia/ssl_en_nest_xlarge_v1.0", "@stevehuang52 Thank you! I really expect NEST's multilingual performance. Does new model perform as reported in paper? Also, how do you think about its performance on asian language?", "@sphmel The performance should be very similar to those presented in the paper, when using the exact same setting. I didn't check all tasks, but on those that I checked the difference is within 0.02. We are still training the multilingual models and will release them later~ " ]

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[ "Do you think we should change https://github.com/NVIDIA/NeMo/blob/main/nemo/lightning/pytorch/optim/megatron.py as well? Add a wrapper for the ChainedOptimizer", "@BoxiangW McoreDistributedOptimizer is a NeMo class not an Mcore class, and will hold whatever optimizer mcore returns as an attribute, would there be an issue in this scenario?" ]