Datasets:

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renwei2024

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nemo-github-issues

like 0

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[ "Hello, I assigned myself as a reviewer. I am the tech writer on the NeMo team and provided a review of https://github.com/NVIDIA/NeMo/pull/9184. I will make similar copyedits to the content. Thank you." ]

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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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[ "Waiting for CI to merge" ]

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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 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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[ "Audio duration can be different. In general we train usually with max duration of 20-40 seconds ", "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.", "What script are you running, could you share the command?", "Closing since no follow-up.", "Hi @ericharper ,\r\n\r\nThank you for your time and help.\r\n\r\nI made a few changes to the base NeMo toolkit script. The bug I was facing was due to an script not reflecting in my container and some hyper-parameter values. I fixed the container, updated the scripts, and adjusted a few hyper-parameters. It's working now.\r\n\r\nThanks again! 😊" ]

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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 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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[ "Are all argparse args in https://github.com/NVIDIA/NeMo/blob/main/scripts/export/export_to_trt_llm.py#L24 and https://github.com/NVIDIA/NeMo/blob/main/scripts/deploy/nlp/deploy_triton.py#L28 the same?\r\n\r\nIf yes, or a reasonable common subset exists, then we could perhaps define them in a single location somewhere in `nemo.export` and import elsewhere for transparency (fine to do this outside this MR).", "I left some comments, rather minor things like params default organization, naming, etc." ]

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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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[ "Closing this since it will only go to main." ]

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[ "Your lr is very high, start with 3e-4 for finetuning. Model might have exploded to NaNs. Could you swicth to fastconformer architecture instead of Conformer? FastConformer is quick to train. start with fp32 then move to precision 16 once your training setup is fine and you see curves are normal. \r\n\r\nFastconformer configs: https://github.com/NVIDIA/NeMo/tree/main/examples/asr/conf/fastconformer ", "\r\n\r\n\r\n> Your lr is very high, start with 3e-4 for finetuning. Model might have exploded to NaNs. Could you swicth to fastconformer architecture instead of Conformer? FastConformer is quick to train. start with fp32 then move to precision 16 once your training setup is fine and you see curves are normal.\r\n> \r\n> Fastconformer configs: https://github.com/NVIDIA/NeMo/tree/main/examples/asr/conf/fastconformer\r\n\r\nthanks for replying. i actually changed the precision from 16 to 32 and it solved my problem.\r\n" ]

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[ "Fyi @nithinraok - this should enable fastpath execution for HF too", "@galv @pzelasko actual change is just these 5 lines, everything else is just black formatter and a unittest at the bottom - https://github.com/NVIDIA/NeMo/pull/9201/files#diff-04e10f8fb8f7afddb360c7ea0ff9c831613c754085d2fd06961bb80a9f932a25R372-R376", "@nithinraok can you investigate to see whether this change will fix your performance degredation issues when using transcribe() within the huggingface open asr leaderboard RTFx measurements?", "@galv yeah, I am thinking to use iterable dataset (looks like streaming is the option for huggingface datasets to get iterable dataset) and run the HF evals. " ]

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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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[ "FYI, the PR description has been updated to describe the benefit from using this mode of execution instead of AMP", "This is ready for another round of review. Unfortunately the black + isort change made a lot of noise. But basically I removed a lot of cruft. This PR basically does only three things now:\r\n\r\n1. Modify transcribe_speech.py to run using casting to float16/bfloat16 instead of AMP\r\n1. Modify transcribe_speech.py to output RTFx scores, using the calculate_rtfx=True config. It is set to false by default (but I wouldn't be opposed to setting it to True by default later for the sake of educating users about their throughput results).\r\n1. Make small changes to the positional encoding buffer and a call to masked_fill() to make sure that data is not accidentally casted up to float32.", "@nithinraok @pzelasko @titu1994 I think this change is good to go at this point.", "Looks good to me!" ]

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[ "The models inside the new llm collection are not using ModelPT as a base class" ]

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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.", "@bonham79 looks like you experimented with SlimIPL? Would be good if you can review the PR as well. ", "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 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.", "any update" ]

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[ "I made a few more copyedits to the file. Please review and implement the changes.", "I looked at your latest comments and added my responses to your questions. Otherwise, the changes to the files look good." ]

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[ "Pipeline passed\r\nSpeech_Checkpoints_tests flaky , needed more time limit (fixed now)" ]

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[ "- Changed Speaker embedding extraction to avoid `torch.cat` in every for loop step for speed up. \r\nThis does not make a lot of difference in general, but if CPU is busy with other tasks, this could make some difference in processing time.\r\n\r\n- Now, device=null and if torch.cuda.is_cuda_available() == True, then MSDD is running on GPU. This means diarization default setting will now run on GPU if cuda is available." ]

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[ "Hey @pablo-garay , this is an proposal how we could make our CI pipeline a bit more stable. We should/could isolate folders that are being written to, and garbage-collect them by `if: always()` steps.\r\n\r\nThe only caveat I can see is that templating our tests might become a little bit more tricky. But I don't think it would be a blocker. See #9177 for reference", "Fantastic proposal\r\n\r\nWe need this for all tests whose name start with prefix: **L2_Community_LLM_Checkpoints_tests_**\r\nCould you please kindly make the proposed change & add for the other tests? :)" ]

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[ "Can we look to merge this PR soon? @janekl @kevalmorabia97 ", "@pablo-garay no objection from my side. I don't have permissions to approve but this LGTM" ]

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[ "Hey @pablo-garay, this is a poc for the discussed refactoring approach. If you like it, I will continue refactoring the remaining test cases. Please feel free to leave some comments!", "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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[ "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.", "Shit hole" ]

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[ "Tests passed & seeing container build time faster than before:\r\n https://github.com/NVIDIA/NeMo/actions/runs/9084110720/job/24972186694" ]

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