Comments (3)
Could you put it to a separate pr ? Let's keep prs small / medium sized and focussed so we can debug them if they cause issues later.
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Also, don't make the assumption that a GPU will always be there (or that cuda graphs are supported). We can have fast paths for those cases when GPU is available or cudapython 12.3 and above is installed via conda / pip but they aren't guaranteed.
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[don't make the assumption] that cuda graphs are supported
It is good practice to avoid synchronizing with the CPU in general, with GPU code. If we do that, we can get cuda graphs "for free". No part of that is building in cuda graphs as a requirement to do execution.
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Related Issues (20)
- Titanet-L Augmentation HOT 4
- Not found file "convert_mistral_hf_to_nemo.py" in /opt/NeMo/scripts/checkpoint_converters/ for Convert Mistral
- Precision Problem between nemo model and hugging face model HOT 2
- Llama2 70B SFT with FSDP failing HOT 2
- training config used for training stt_en_quartznet15x5 HOT 2
- llama2 training hangs when pp_size > 1 HOT 2
- Integration of Turn-Taking Models into Nemo Framework for Enhanced Realistic Conversations
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- [Feature] Add Support on Multiple Metrics Reporting during Training Progress for Validation
- checkpoints not saved due to wrong loss comparison?
- when "write_predictions_to_file" is true,generate will fail。 HOT 1
- "RuntimeError: start (4) + length (1) exceeds dimension size (4)." when running cache aware streaming inference
- slow validation process HOT 2
- Optimizing Learning Rate Parameters in Model Fine-tuning
- AUDIO FILE SIZE for fine tuning STT En FastConformer Hybrid Transducer-CTC Large Streaming Multi HOT 1
- `EncDecCTCModel.transcribe(audio=...)` changed to `EncDecCTCModel.transcribe(paths2audio_files=...)` HOT 6
- Enormous number of `.nemo` checkpoints produced in training HOT 4
- [Conversion] How to convert Finetuned T5 checkpoint ended with `.ckpt` to `.nemo` checkpoint with NeMo toolkit?
- Can't launch NeMo containers with CUDA support HOT 1
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