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"Currently, this will dump the snapshot for all ranks. Should we add an option to only save a snapshot from rank 0? or a specifiable rank?",
"> Currently, this will dump the snapshot for all ranks. Should we add an option to only save a snapshot from rank 0? or a specifiable rank?\r\n\r\nAddressed in latest commi... | 2024-08-15T21:51:06 | 2024-08-23T15:20:36 | 2024-08-23T15:20:34 | COLLABORATOR | {
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} | # What does this PR do ?
This callback enables recording a timeline of memory allocations during training.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
# GitHub Actions CI
The Jenkins CI system has been replaced by GitHub Actions self-hosted runners.
The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR.
To re-run CI remove and add the label again.
To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".
# Before your PR is "Ready for review"
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- [ ] Did you write any new necessary tests?
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- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
- [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [ ] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
Anyone in the community is free to review the PR once the checks have passed.
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
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```python
# Add a code snippet demonstrating how to use this
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# GitHub Actions CI
The Jenkins CI system has been replaced by GitHub Actions self-hosted runners.
The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR.
To re-run CI remove and add the label again.
To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".
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- [ ] Did you write any new necessary tests?
- [ ] Did you add or update any necessary documentation?
- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
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- [ ] Bugfix
- [ ] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
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Anyone in the community is free to review the PR once the checks have passed.
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
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```python
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To re-run CI remove and add the label again.
To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".
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- [ ] Did you write any new necessary tests?
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- [ ] Bugfix
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If you haven't finished some of the above items you can still open "Draft" PR.
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[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
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# Changelog
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# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
# GitHub Actions CI
The Jenkins CI system has been replaced by GitHub Actions self-hosted runners.
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To re-run CI remove and add the label again.
To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".
# Before your PR is "Ready for review"
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- [ ] Did you write any new necessary tests?
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- [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
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- [ ] Bugfix
- [ ] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
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[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
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Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
# GitHub Actions CI
The Jenkins CI system has been replaced by GitHub Actions self-hosted runners.
The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR.
To re-run CI remove and add the label again.
To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary tests?
- [ ] Did you add or update any necessary documentation?
- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
- [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [ ] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
Anyone in the community is free to review the PR once the checks have passed.
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
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* Related to # (issue)
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**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
# GitHub Actions CI
The Jenkins CI system has been replaced by GitHub Actions self-hosted runners.
The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR.
To re-run CI remove and add the label again.
To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary tests?
- [ ] Did you add or update any necessary documentation?
- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
- [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [ ] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
Anyone in the community is free to review the PR once the checks have passed.
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
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* Related to # (issue)
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# Changelog
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# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
# GitHub Actions CI
The Jenkins CI system has been replaced by GitHub Actions self-hosted runners.
The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR.
To re-run CI remove and add the label again.
To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary tests?
- [ ] Did you add or update any necessary documentation?
- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
- [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [ ] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
Anyone in the community is free to review the PR once the checks have passed.
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
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* Related to # (issue)
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Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
# GitHub Actions CI
The Jenkins CI system has been replaced by GitHub Actions self-hosted runners.
The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR.
To re-run CI remove and add the label again.
To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary tests?
- [ ] Did you add or update any necessary documentation?
- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
- [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [ ] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
Anyone in the community is free to review the PR once the checks have passed.
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
# Additional Information
* Related to # (issue)
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# Changelog
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# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
# GitHub Actions CI
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The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR.
To re-run CI remove and add the label again.
To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".
# Before your PR is "Ready for review"
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**PR Type**:
- [ ] New Feature
- [ ] Bugfix
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If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
Anyone in the community is free to review the PR once the checks have passed.
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
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# Changelog
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# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
# GitHub Actions CI
The Jenkins CI system has been replaced by GitHub Actions self-hosted runners.
The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR.
To re-run CI remove and add the label again.
To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".
# Before your PR is "Ready for review"
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- [ ] Did you write any new necessary tests?
- [ ] Did you add or update any necessary documentation?
- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
- [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
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- [ ] Bugfix
- [ ] Documentation
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[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
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# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
# GitHub Actions CI
The Jenkins CI system has been replaced by GitHub Actions self-hosted runners.
The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR.
To re-run CI remove and add the label again.
To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".
# Before your PR is "Ready for review"
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- [ ] Did you write any new necessary tests?
- [ ] Did you add or update any necessary documentation?
- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
- [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
**PR Type**:
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- [ ] Bugfix
- [ ] Documentation
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[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
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# Changelog
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# Usage
* You can potentially add a usage example below
```python
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# GitHub Actions CI
The Jenkins CI system has been replaced by GitHub Actions self-hosted runners.
The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR.
To re-run CI remove and add the label again.
To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".
# Before your PR is "Ready for review"
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- [ ] Did you write any new necessary tests?
- [ ] Did you add or update any necessary documentation?
- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
- [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [ ] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
Anyone in the community is free to review the PR once the checks have passed.
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
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"Eval numbers on CH109:\r\nRunning `NeMo/examples/speaker_tasks/diarization/clustering_diarizer/offline_diar_with_asr_infer.py` using `stt_en_fastconformer_ctc_large... | 2024-08-15T18:51:52 | 2024-09-04T18:29:39 | 2024-09-04T18:29:06 | COLLABORATOR | {
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"merged_at": "2024-09-04T18:29:06"
} | # What does this PR do ?
Adds support for FastConformer-CTC models in Diarization+ASR with timestamps
**Collection**: [Note which collection this PR will affect]
ASR, Speaker Tasks
# Changelog
Add configuration of FastConformer in `ASRDecoderTimeStamps` class of `nemo/collections/asr/parts/utils/decoder_timestamps_utils.py`
# Usage
To perform diarization with ASR using a pretrained FastConformer CTC model you can use the following code snippet
```python
python NeMo/examples/speaker_tasks/diarization/clustering_diarizer/offline_diar_with_asr_infer.py --config-path='../conf/inference' --config-name='diar_infer_telephonic.yaml' \
diarizer.manifest_filepath=<add your manifest here> \
diarizer.oracle_vad=False \
diarizer.clustering.parameters.oracle_num_speakers=False\
diarizer.out_dir=<your output folder to save predictions and intermediate embeddings> \
diarizer.speaker_embeddings.model_path="titanet_large"\
diarizer.asr.parameters.asr_based_vad=False \
diarizer.asr.parameters.colored_text=True \
diarizer.asr.parameters.fix_word_ts_with_VAD=False \
diarizer.asr.parameters.break_lines=False \
diarizer.asr.parameters.word_ts_anchor_pos='start'\
diarizer.asr.model_path="stt_en_fastconformer_ctc_large.nemo"
# diarizer.asr.parameters.decoder_delay_in_sec=0.08
# diarizer.asr.parameters.word_ts_anchor_offset=0.15
```
Note that for most applications word_ts_anchor_offset of 0.12 secs works best and hence was added as the default value, 0.15 is also a promising candidate can tried if the default values don't work well for your use case.
# GitHub Actions CI
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The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR.
To re-run CI remove and add the label again.
To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary tests?
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## Who can review?
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[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
# Additional Information
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**Collection**: [Note which collection this PR will affect]
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# Usage
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```python
# Add a code snippet demonstrating how to use this
```
# GitHub Actions CI
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# Before your PR is "Ready for review"
**Pre checks**:
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[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
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} | # What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
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# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
# GitHub Actions CI
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The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR.
To re-run CI remove and add the label again.
To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary tests?
- [ ] Did you add or update any necessary documentation?
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**PR Type**:
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- [ ] Bugfix
- [ ] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
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[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
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} | # What does this PR do ?
This PR fixes inaccurate CTM time stamps from multispeaker data simulator.
**Collection**: [Note which collection this PR will affect]
ASR
# Changelog
The function `create_new_ctm_entry`'s argument `start` should be float
Original:
start=int(start / self._params.data_simulator.sr)
Fixed:
start=float(start / self._params.data_simulator.sr)
# Usage
```python
python <NEMO_ROOT>/tools/speech_data_simulator/multispeaker_simulator.py \
num_workers=10 \
data_simulator.random_seed=42 \
data_simulator.manifest_filepath=manifest_with_alignment_file.json \
data_simulator.outputs.output_dir=./simulated_data \
data_simulator.outputs.output_filename=sim_spk2_sess20 \
data_simulator.session_config.num_sessions=1000 \
data_simulator.session_config.num_speakers=2 \
data_simulator.session_config.session_length=20 \
data_simulator.background_noise.add_bg=False \
data_simulator.background_noise.background_manifest=background_noise.json \
data_simulator.background_noise.snr=40 \
# Check out parameters in ./conf/data_simulator.yaml.
```
# GitHub Actions CI
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The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR.
To re-run CI remove and add the label again.
To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [x] Did you write any new necessary tests?
- [x] Did you add or update any necessary documentation?
- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
- [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
**PR Type**:
- [ ] New Feature
- [x] Bugfix
- [ ] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
ASR and speaker task related contributors
# Additional Information
N.A.
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} | # What does this PR do ?
Improved hparams logging
- Currently model hyperparemeters are saved as a single raw string under key "cfg" in wandb, this is due to omegaconf.DictConfig is not considered json serializable by pytorch_lighting. This patch converts `cfg` object to plain python dict and save it under key "model". This allows all model parameters to be indexed separately in wandb thus provide better searching and filtering capabilities, e.g. 'model.fp8=true'
- If an optional `rootCfg` kwarg is passed to ModelPT, ModelPT will save the entire rootCfg as hyperparemeters includes trainer, exp_manager and other configurations.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
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} | # What does this PR do ?
Fixed exp_manager.wandb_logger_kwargs.config
Configuring wandb.config using hydra configuration file and/or its cli overrides is useful, it allows adding metadata to wandb run without modifying python code.
Currently passing wandb 'config' in exp_manager.wandb_logger_kwargs won't work because wandb.init() expects 'config' value to be a plain dict instead of an omegaconf.DictConfig instance, this patch converts wandb_kwargs to plain python dict before passing in to pytorch_lightning.loggers.WandbLogger() (eventually calls wandb.init())
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} | # What does this PR do ?
Add Baichuan and ChatGLM
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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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} | # What does this PR do ?
Add the mcore interface for distributed optimizer arg; overlap param AG with optimizer
# Changelog
- Pass `overlap_param_gather_with_optimizer_step` to megatron-core
- Enable `delay_param_gather` for aligning param AG timing across PP ranks by default
- Fix the input args of `finish_param_sync` func
- Diable embedding param AG bucketing to overlap with optim.step
# Usage
Set `overlap_param_gather_with_optimizer_step=true` to enable param AG chunk overlap with optim.step
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# What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
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* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
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Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
# GitHub Actions CI
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The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR.
To re-run CI remove and add the label again.
To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary tests?
- [ ] Did you add or update any necessary documentation?
- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
- [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [ ] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
Anyone in the community is free to review the PR once the checks have passed.
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
# Additional Information
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} | # What does this PR do ?
Various fixes to docs to reduce the warnings we currently have and make sure docs work as intended.
Requesting reviews from:
* @yaoyu-33 - glance over docs fixes
* @stevehuang52 - check over type hint change (from using | to Union), see more info in changelog
**Collection**: Docs, SpeechLLM
# Changelog
- Fixed broken link to SpeechLLM docs, so now they are actually accessible.
- Fixed errors we were getting from type hints. This is an issue @pzelasko spotted previously (https://github.com/NVIDIA/NeMo/pull/8956). There is a good explanation of it in the "note" section here: https://docs.python.org/3/library/stdtypes.html#union-type.
- Fixed some docstrings in SpeechLLM code so now they will display properly in the API section
- Various other small fixes
# Usage
N/A
# GitHub Actions CI
The Jenkins CI system has been replaced by GitHub Actions self-hosted runners.
The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR.
To re-run CI remove and add the label again.
To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [N/A] Did you write any new necessary tests?
- [x] Did you add or update any necessary documentation?
- [N/A] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
- [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
**PR Type**:
- [ ] New Feature
- [x] Bugfix
- [x] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
Anyone in the community is free to review the PR once the checks have passed.
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
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* Related to # (issue)
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"8x3B Mixtral seems to be missing now, trying to add it in this PR",
"@hemildesai For better integration"
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} | # What does this PR do ?
Support NeMo 2.0 long context recipe
**Collection**: llm
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
# GitHub Actions CI
The Jenkins CI system has been replaced by GitHub Actions self-hosted runners.
The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR.
To re-run CI remove and add the label again.
To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary tests?
- [ ] Did you add or update any necessary documentation?
- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
- [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
**PR Type**:
- [x] New Feature
- [ ] Bugfix
- [x] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
Anyone in the community is free to review the PR once the checks have passed.
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
# Additional Information
* Related to # (issue)
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Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
# GitHub Actions CI
The Jenkins CI system has been replaced by GitHub Actions self-hosted runners.
The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR.
To re-run CI remove and add the label again.
To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary tests?
- [ ] Did you add or update any necessary documentation?
- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
- [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [ ] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
Anyone in the community is free to review the PR once the checks have passed.
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
# Additional Information
* Related to # (issue)
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} | … host & device sync in it.
# What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
# GitHub Actions CI
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To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary tests?
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- [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [ ] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
Anyone in the community is free to review the PR once the checks have passed.
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
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# Changelog
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# Usage
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**PR Type**:
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If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
Anyone in the community is free to review the PR once the checks have passed.
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
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Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
# GitHub Actions CI
The Jenkins CI system has been replaced by GitHub Actions self-hosted runners.
The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR.
To re-run CI remove and add the label again.
To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary tests?
- [ ] Did you add or update any necessary documentation?
- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
- [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [ ] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
Anyone in the community is free to review the PR once the checks have passed.
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
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* Related to # (issue)
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- [ ] Bugfix
- [ ] Documentation
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[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
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# Changelog
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[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
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**Collection**: [Note which collection this PR will affect]
# Changelog
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# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
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To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".
# Before your PR is "Ready for review"
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**PR Type**:
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- [ ] Bugfix
- [ ] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
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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.",
"[🤖]: Hi @akoumpa 👋,\n\nWe wanted to let you know that a [CICD pipelin... | 2024-08-13T20:09:05 | 2024-10-15T19:24:26 | 2024-10-15T19:24:25 | MEMBER | {
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} | # What does this PR do ?
Without this PR
```
Training epoch 0, iteration 0/9 | lr: 0.0006 | consumed_samples: 32 | global_batch_size: 32 | global_step: 0 | reduced_train_loss: 11.02
Training epoch 0, iteration 1/9 | lr: 0.0006 | consumed_samples: 64 | global_batch_size: 32 | global_step: 1 | reduced_train_loss: 9.761
Training epoch 0, iteration 2/9 | lr: 0.0006 | consumed_samples: 96 | global_batch_size: 32 | global_step: 2 | reduced_train_loss: 9.21
Training epoch 0, iteration 3/9 | lr: 0.0006 | consumed_samples: 128 | global_batch_size: 32 | global_step: 3 | reduced_train_loss: 8.595
Training epoch 0, iteration 4/9 | lr: 0.0006 | consumed_samples: 160 | global_batch_size: 32 | global_step: 4 | reduced_train_loss: 8.675
Training epoch 0, iteration 5/9 | lr: 0.0006 | consumed_samples: 192 | global_batch_size: 32 | global_step: 5 | reduced_train_loss: 7.918
Training epoch 0, iteration 6/9 | lr: 0.0006 | consumed_samples: 224 | global_batch_size: 32 | global_step: 6 | reduced_train_loss: 7.319
Training epoch 0, iteration 7/9 | lr: 0.0006 | consumed_samples: 256 | global_batch_size: 32 | global_step: 7 | reduced_train_loss: 7.889
Training epoch 0, iteration 8/9 | lr: 0.0006 | consumed_samples: 288 | global_batch_size: 32 | global_step: 8 | reduced_train_loss: 7.113
Training epoch 0, iteration 9/9 | lr: 0.0006 | consumed_samples: 320 | global_batch_size: 32 | global_step: 9 | reduced_train_loss: 6.909
```
With this PR:
```
Training epoch 0, iteration 0/9 | lr: 0.0006 | consumed_samples: 32 | global_batch_size: 32 | global_step: 0 | reduced_train_loss: 11.02 | load_balancing_loss: 9.812
Training epoch 0, iteration 1/9 | lr: 0.0006 | consumed_samples: 64 | global_batch_size: 32 | global_step: 1 | reduced_train_loss: 9.763 | load_balancing_loss: 9.919
Training epoch 0, iteration 2/9 | lr: 0.0006 | consumed_samples: 96 | global_batch_size: 32 | global_step: 2 | reduced_train_loss: 9.232 | load_balancing_loss: 13.04
Training epoch 0, iteration 3/9 | lr: 0.0006 | consumed_samples: 128 | global_batch_size: 32 | global_step: 3 | reduced_train_loss: 8.579 | load_balancing_loss: 16.77
Training epoch 0, iteration 4/9 | lr: 0.0006 | consumed_samples: 160 | global_batch_size: 32 | global_step: 4 | reduced_train_loss: 8.661 | load_balancing_loss: 17.5
Training epoch 0, iteration 5/9 | lr: 0.0006 | consumed_samples: 192 | global_batch_size: 32 | global_step: 5 | reduced_train_loss: 7.909 | load_balancing_loss: 13.16
Training epoch 0, iteration 6/9 | lr: 0.0006 | consumed_samples: 224 | global_batch_size: 32 | global_step: 6 | reduced_train_loss: 7.358 | load_balancing_loss: 13.96
Training epoch 0, iteration 7/9 | lr: 0.0006 | consumed_samples: 256 | global_batch_size: 32 | global_step: 7 | reduced_train_loss: 7.994 | load_balancing_loss: 14.74
Training epoch 0, iteration 8/9 | lr: 0.0006 | consumed_samples: 288 | global_batch_size: 32 | global_step: 8 | reduced_train_loss: 6.796 | load_balancing_loss: 15.49
Training epoch 0, iteration 9/9 | lr: 0.0006 | consumed_samples: 320 | global_batch_size: 32 | global_step: 9 | reduced_train_loss: 6.789 | load_balancing_loss: 16.16
```
```
config = llm.MixtralConfig8x7B(
num_layers=2,
hidden_size=768,
ffn_hidden_size=3072,
num_attention_heads=8,
seq_length=seq_length,
init_method_std=0.023,
hidden_dropout=0.1,
attention_dropout=0.1,
layernorm_epsilon=1e-5,
make_vocab_size_divisible_by=128,
masked_softmax_fusion=args.masked_softmax_fusion,
# Moe,
num_moe_experts=8,
moe_aux_loss_coeff=0.01,
moe_router_topk=2,
moe_router_pre_softmax=True,
moe_token_dispatcher_type="alltoall",
moe_router_load_balancing_type='aux_loss',
)
```
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
# GitHub Actions CI
The Jenkins CI system has been replaced by GitHub Actions self-hosted runners.
The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR.
To re-run CI remove and add the label again.
To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary tests?
- [ ] Did you add or update any necessary documentation?
- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
- [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [ ] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
Anyone in the community is free to review the PR once the checks have passed.
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
# Additional Information
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"stopping this for now until our CI is out of maintenance ",
"Looks good, thanks! Can we clean up some of the old comments in the test script?"
] | 2024-08-13T17:36:38 | 2024-08-21T23:38:51 | 2024-08-21T23:38:49 | COLLABORATOR | {
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Add FLOPsMeasurementCallback only if tensorboard logger (`exp_manager.create_tensorboard_logger`) is enabled.
**Collection**: [Run CICD]
# Changelog
```
if self.cfg.get('exp_manager', {}).get('create_tensorboard_logger', False):
callbacks.append(FLOPsMeasurementCallback(self.cfg))
```
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# Add a code snippet demonstrating how to use this
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# What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
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```python
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[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
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"@titu1994 Your help would be greatly appreciated. ",
"@KunalDhawan can you add the flag to the tokenizer ?",
"Hi @titu1994, after some investigation into the above issue, I don't think AggregateTokenizer is well suited for the current implementation of flashlight decoder/ word-boosting due to the following rea... | 2024-08-13T07:53:45 | 2024-10-18T01:59:13 | 2024-10-18T01:59:12 | NONE | {
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} | null | null | null | **TypeError: AggregateTokenizer.token_to_id() missing 1 required positional argument: 'lang_id'**
I am getting `TypeError: AggregateTokenizer.token_to_id() missing 1 required positional argument: 'lang_id'` when doing an inference on a multilingual ASR model trained using multiple tokenizers with `land_id` added in the manifest.
This happens when I change the `decoding strategy to "flashlight"`.
```python
asr_model = nemo_asr.models.EncDecCTCModelBPE.restore_from(nemo_model_file, map_location=device)
decoding_cfg = CTCDecodingConfig()
decoding_cfg.strategy = "flashlight"
.
.
.
asr_model.change_decoding_strategy(decoding_cfg)
```
**Environment overview (please complete the following information)**
- Environment location: LambdaLabs
- Method of NeMo install: from source. Installed via ./reinstall
**Environment details**
If NVIDIA docker image is used you don't need to specify these.
Otherwise, please provide:
- OS version: `Ubuntu`
- PyTorch version: `2.3.1+cu121`
- Nemo version: `2.0.0rc2`
- Python version: `Python 3.10.12`
- GPU model: A100
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"Hi, thank you for your question.\r\n\r\nYou can see the code used to clean the Spanish data here: https://github.com/NVIDIA/NeMo-speech-data-processor/tree/main/dataset_configs/spanish_pc.\r\n\r\nThe rules used to clean the German and French data were very similar.\r\n\r\nActually, IIRC, we did not use NeMo Text P... | 2024-08-13T04:20:12 | 2024-08-20T16:46:18 | 2024-08-20T16:46:18 | NONE | {
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stt_multilingual_fastconformer_hybrid_large_pc_blend_eu,
stt_de_fastconformer_hybrid_large_pc,
stt_es_fastconformer_hybrid_large_pc,
stt_fr_fastconformer_hybrid_large_pc.
Its intuitive to think that you used nemo text processing package for text norm. But I tried to finetune multilingual and german models and got worse results.
I downloaded the same datasets, used your NeMo codebase, your published checkpoint and config
Tried to add some more new public data. Kept the learning rate lower than your minimum in the config.
After training a bit, I test on fleurs test dataset and get worse results.
### My concern is that maybe you didn't use nemo text processing or used something else on top of it or before.
That would very much help my project if you clarified that part.
I think that resuming training on same data/ same + some more data couldn't damage that much with small learning rate.
German stt model from 8% jumped to 11% after an epoch.
Thank you in advance
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Comment out stable diffusion test until ptl 2.4.0 fix is in place.
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"Resolved: \r\nhttps://github.com/NVIDIA/NeMo/pull/10183\r\nhttps://github.com/NVIDIA/NeMo/pull/10137"
] | 2024-08-12T16:47:08 | 2024-08-23T18:38:43 | 2024-08-23T18:38:43 | COLLABORATOR | {
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} | null | null | null | **Describe the bug**
pytorch_lightning.trainer.connectors.logger_connector.result _ResultCollection register_key function is deprecated in ptl 2.4.0
The use of this function needs to be updated in https://github.com/NVIDIA/NeMo/blob/main/nemo/utils/callbacks/cuda_graph.py#L377
**Steps/Code to reproduce bug**
Please list *minimal* steps or code snippet for us to be able to reproduce the bug.
A helpful guide on on how to craft a minimal bug report http://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports.
**Expected behavior**
A clear and concise description of what you expected to happen.
**Environment overview (please complete the following information)**
- Environment location: [Bare-metal, Docker, Cloud(specify cloud provider - AWS, Azure, GCP, Collab)]
- Method of NeMo install: [pip install or from source]. Please specify exact commands you used to install.
- If method of install is [Docker], provide `docker pull` & `docker run` commands used
**Environment details**
If NVIDIA docker image is used you don't need to specify these.
Otherwise, please provide:
- OS version
- PyTorch version
- Python version
**Additional context**
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} | # What does this PR do ?
This PR fixes two type errors that occured when I was trying to train a SpeechLLM model with [Fast Conformer](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo/models/stt_en_fastconformer_ctc_large) and [LLaMa 3.1](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo/models/llama-3_1-8b-nemo).
1. `TypeError: '>' not supported between instances of 'NoneType' and 'int'`
2. `TypeError: AutoTokenizer.text_to_ids() takes 2 positional arguments but 3 were given`
I used the example script [modular_audio_gpt_train.py](examples/multimodal/speech_llm/modular_audio_gpt_train.py) and config [modular_audio_gpt_config_peft.yaml](examples/multimodal/speech_llm/conf/modular_audio_gpt_config_peft.yaml).
I do not know if training will work out with LLaMa 3/3.1 in general, but at least this fixes the text processing.
I tested this with [LLaMa 2](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo/models/llama-2-7b) as well and it works.
**Collection**: multimodal
# Changelog
- Handles case when `pad_id` is `None` in the tokenizer
- Passes `sample_alpha` only when tokenizer is `SentencePieceTokenizer` (fixes `TypeError`)
# GitHub Actions CI
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To re-run CI remove and add the label again.
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# Before your PR is "Ready for review"
**Pre checks**:
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**PR Type**:
- [ ] New Feature
- [x] Bugfix
- [ ] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
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"I managed to figure it out, and for those who are searching, they might find this as a helpful reference: \r\n\r\nTo address the issue, you can modify the code in `nemo/collections/asr/models/ctc_models.py`. Specifically, navigate to line 502, which is:\r\n\r\n```\r\nif self.spec_augmentation is not None and self.... | 2024-08-12T10:33:13 | 2024-08-12T14:59:23 | 2024-08-12T14:59:23 | NONE | {
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Is it possible to apply Spec Augmentation during testing or transcription? If so, could you provide the necessary configurations or code snippets?
Thank | {
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"Could you also plot lr graph? Your validation loss kept on increasing. Could you start with 1024 tokens, howver you mentioned the same tokens work well for Conformer, does that mean you tried same set up with Conformer and it trained well and you are only seeing issues with FastConformer? \r\n\r\nIf possible share... | 2024-08-12T01:33:11 | 2024-08-23T03:30:06 | 2024-08-23T03:30:05 | NONE | {
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} | null | null | null | First of all, thank you for creating and maintaining this incredible framework. It has been a valuable tool for our work.
I am currently attempting to fine-tune the Fast Conformer CTC model on a Korean language dataset (1000 hours) using the pretrained English model as the starting point
- Tokenizer: We are using a SentencePiece unigram tokenizer with 2700 tokens. (These tokens work well on Conformer CTC Large models.)
- Batch Size: The batch size is set to 4, with accumulate_grad_batches set to 8.
- SpecAugment Configuration: The spec_augment is configured with 2 frequency masks and 2 time masks.
Issue:
After 21 epochs of training, the validation WER remains at 1, and the learning rate does not seem to decrease.
I would greatly appreciate any guidance on what might be going wrong during the training process.
Additional Information:
I attach a screenshot from W&B here for reference:
**Environment details**
- OS version: Ubuntu 20.04
- PyTorch version: 2.4.0
- Nemo Version: 1.23.0
**Additional context**
We have access to a 20,000-hour dataset, but since training on the full dataset would be very time-consuming, we decided to start with 1,000 hours to see if the model can converge before scaling up. | {
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📝 Please remember the following to-do's before merge:
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🙏 Please merge this PR only if the CI workflow completed successfully. | {
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} | # What does this PR do ?
Add config files and corresponding modules for optimized audio codec training.
**Collection**: [TTS]
# Changelog
- Add config files for training 22khz and 44khz audio codec.
- Add inverted HiFiGAN audio encoder
- Add multi resolution STFT discriminator from DAC. This does not make much difference by itself, but I changed in preparation for doing mixed bandwidth training.
- Added a "half snake" activation to decoder which uses half snake and half leaky relu activations, allowing the model to jointly model both periodic and non-periodic information. When tuning hyperparameters, I found this to be more stable (and use less memory) than training with all snake activations. And perform better than using the existing _snake alpha_, and had similar performance to the _snake beta_ variants from BigVGAN 1 and 2. I did not add snake activation to encoder as doing so significantly reduced TTS performance on the codec.
- Replaced tanh activation on output with clamping, as in BigVGAN 2, as this seemed to reduce artifacts early in training.
# GitHub Actions CI
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The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR.
To re-run CI remove and add the label again.
To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary tests?
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- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
- [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
**PR Type**:
- [x] New Feature
- [ ] Bugfix
- [ ] Documentation
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Match behavior in NeMo 1 where SFT/PEFT uses batch sampler (global batch sampling)
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
# GitHub Actions CI
The Jenkins CI system has been replaced by GitHub Actions self-hosted runners.
The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR.
To re-run CI remove and add the label again.
To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary tests?
- [ ] Did you add or update any necessary documentation?
- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
- [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [ ] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
Anyone in the community is free to review the PR once the checks have passed.
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
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**Collection**: [Note which collection this PR will affect]
# Changelog
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# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
# GitHub Actions CI
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To re-run CI remove and add the label again.
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# Before your PR is "Ready for review"
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- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
- [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [ ] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
Anyone in the community is free to review the PR once the checks have passed.
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
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} | Set default value of tp_comm_overlap_disable_qkv to True; O/w will do an extra gather in FWD
# What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
# GitHub Actions CI
The Jenkins CI system has been replaced by GitHub Actions self-hosted runners.
The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR.
To re-run CI remove and add the label again.
To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary tests?
- [ ] Did you add or update any necessary documentation?
- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
- [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [ ] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
Anyone in the community is free to review the PR once the checks have passed.
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
# Additional Information
* Related to # (issue)
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"I'll look into that.",
"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.",
"@pzelasko did you fix this? (no pressure, just checking if I should take down)",
"This issue is stale because it has been open for 30 days with... | 2024-08-09T19:46:44 | 2025-01-04T01:57:29 | 2025-01-04T01:57:28 | COLLABORATOR | {
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} | null | null | null | **Is your feature request related to a problem? Please describe.**
Some of the Canary changes lead to unreliable use of the `lang_field` slot. There should be a test to check for it in the future for CI integration.
**Describe the solution you'd like**
- Add a CI test to `aed_models` that switches out the `lang_field` and confirms same outputs regardless
- Make this CI test take into account cases where `target_lang` has prompts that are not in the tokenizer.
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Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
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# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
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# Before your PR is "Ready for review"
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- [ ] Did you write any new necessary tests?
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- [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
**PR Type**:
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If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
Anyone in the community is free to review the PR once the checks have passed.
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
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**Collection**: [Note which collection this PR will affect]
# Changelog
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# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
# GitHub Actions CI
The Jenkins CI system has been replaced by GitHub Actions self-hosted runners.
The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR.
To re-run CI remove and add the label again.
To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary tests?
- [ ] Did you add or update any necessary documentation?
- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
- [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [ ] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
Anyone in the community is free to review the PR once the checks have passed.
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
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**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
# GitHub Actions CI
The Jenkins CI system has been replaced by GitHub Actions self-hosted runners.
The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR.
To re-run CI remove and add the label again.
To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".
# Before your PR is "Ready for review"
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- [ ] Did you write any new necessary tests?
- [ ] Did you add or update any necessary documentation?
- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
- [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [ ] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
Anyone in the community is free to review the PR once the checks have passed.
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
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# Usage
* You can potentially add a usage example below
```python
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The Jenkins CI system has been replaced by GitHub Actions self-hosted runners.
The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR.
To re-run CI remove and add the label again.
To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".
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- [ ] Did you write any new necessary tests?
- [ ] Did you add or update any necessary documentation?
- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
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- [ ] Bugfix
- [ ] Documentation
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## Who can review?
Anyone in the community is free to review the PR once the checks have passed.
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
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"> I think this approach is correct, although quite inefficient (after a few saves, we will load and save old ckpt on **each** new ckpt save).\r\n> \r\n> For now I think it's fine for users who need this functionality, long term we can separate the model and optimizer state inside the checkpoint ... | 2024-08-09T17:31:15 | 2024-09-18T17:36:02 | 2024-09-18T17:36:01 | COLLABORATOR | {
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"merged_at": "2024-09-18T17:36:01"
} | # What does this PR do ?
1. Adds save_last_n_optim_states to save optimizer states only for last n checkpoints. This approach allows to save the disk space. Checkpoint file without optimizer states weighs about 7 times less
2. Now it's also possible to load checkpoint without optimizer states for the inference.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* To save optimizer states for last 2 checkpoints, set this config value:
```python
exp_manager.checkpoint_callback_params.save_last_n_optim_states=2
```
`save_last_n_optim_states=-1` is set by default. It means that optimizer states will be saved for each checkpoint. In order to drop optimizer states for each training checkpoint, you can set `save_last_n_optim_states=0`.
# GitHub Actions CI
The Jenkins CI system has been replaced by GitHub Actions self-hosted runners.
The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR.
To re-run CI remove and add the label again.
To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [x] Did you write any new necessary tests?
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- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
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**PR Type**:
- [x] New Feature
- [ ] Bugfix
- [ ] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
Anyone in the community is free to review the PR once the checks have passed.
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
# Additional Information
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} | # What does this PR do ?
Upgrade base pytorch container of CI to 24.05 from 24.02
**Collection**: [ci]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
# GitHub Actions CI
The Jenkins CI system has been replaced by GitHub Actions self-hosted runners.
The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR.
To re-run CI remove and add the label again.
To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary tests?
- [ ] Did you add or update any necessary documentation?
- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
- [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [ ] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
Anyone in the community is free to review the PR once the checks have passed.
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
# Additional Information
* Related to # (issue)
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"@JimmyZhang12 I'm not sure I will be able to test this, but I'd like to try to manually test the NeMo-Aligner TRTLLM integration with this PR. It looks like this PR is rooted after @oyilmaz-nvidia upgraded to v11, so I can try a one-off build of (TRTLLM v10) + (this Nemo PR) + (mcore ToT) and hopefully with a few ... | 2024-08-09T11:57:12 | 2024-08-29T07:56:27 | 2024-08-29T07:56:26 | COLLABORATOR | {
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"merged_at": "2024-08-29T07:56:26"
} | # What does this PR do ?
Add support for exporting FP8 TE NeMo to TRT LLM.
**Collection**: nlp
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
from nemo.export import TensorRTLLM
trt_llm_exporter = TensorRTLLM(model_dir="/opt/checkpoints/tmp_triton_model_repository/")
trt_llm_exporter.export(nemo_checkpoint_path="/opt/checkpoints/GPT-2B-001_bf16_tp1.nemo", model_type="gptnext", n_gpus=1)
# Autodetects when quantisation flags are not set
output = trt_llm_exporter.forward(["What is the best city in the world?"], max_output_token=17, top_k=1, top_p=0.0, temperature=1.0, fp8_quantized=True, fp8_kvcache=True)
print("output: ", output)
```
# GitHub Actions CI
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The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR.
To re-run CI remove and add the label again.
To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [x] Did you write any new necessary tests?
- [ ] Did you add or update any necessary documentation?
- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
- [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
**PR Type**:
- [X] New Feature
- [ ] Bugfix
- [ ] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
Anyone in the community is free to review the PR once the checks have passed.
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
# Additional Information
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Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
# GitHub Actions CI
The Jenkins CI system has been replaced by GitHub Actions self-hosted runners.
The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR.
To re-run CI remove and add the label again.
To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary tests?
- [ ] Did you add or update any necessary documentation?
- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
- [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [ ] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
Anyone in the community is free to review the PR once the checks have passed.
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
# Additional Information
* Related to # (issue)
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"Can we crate a new director like `docs/source/performance/performance_summary.md`?\r\nSo, we can add additional performance-related pages under this directory in the future.",
"@malay-nagda Can we add a `Performance` section in the main README along with the link to this performance summary page? I think we can ... | 2024-08-09T09:52:16 | 2024-08-14T06:10:20 | 2024-08-14T06:10:20 | COLLABORATOR | {
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} | # What does this PR do ?
Documents performance benchmarks for LLM pre-training and finetuning using NeMo 24.07
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# Changelog
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Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
# GitHub Actions CI
The Jenkins CI system has been replaced by GitHub Actions self-hosted runners.
The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR.
To re-run CI remove and add the label again.
To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary tests?
- [ ] Did you add or update any necessary documentation?
- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
- [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [ ] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
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[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
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"This PR for megatron core should fix the issue: https://github.com/NVIDIA/Megatron-LM/pull/996. Can you try it?",
"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... | 2024-08-09T03:16:05 | 2024-09-29T02:02:59 | 2024-09-29T02:02:59 | NONE | {
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} | null | null | null | **Describe the bug**
When I convert qwen2-7B to nemo format, I run the command` python3 scripts/checkpoint_converters/convert_qwen2_hf_to_nemo.py --input_name_or_path=/infinity/models/qwen2/Qwen2-7B --output_path=/infinity/models/qwen2/Qwen2-7B.Nemo` in nvcr.io/nvidia/nemo:24.05, the following error occurs:
```
[NeMo W 2024-08-09 03:11:05 megatron_base_model:572] The model: MegatronGPTModel() does not have field.name: disable_parameter_transpose_cache in its cfg. Add this key to cfg or config_mapping to make to make it configurable.
[NeMo W 2024-08-09 03:11:05 megatron_base_model:572] The model: MegatronGPTModel() does not have field.name: enable_cuda_graph in its cfg. Add this key to cfg or config_mapping to make to make it configurable.
Traceback (most recent call last):
File "/infinity/packages/NeMo_Project/NeMo/scripts/checkpoint_converters/convert_qwen2_hf_to_nemo.py", line 307, in <module>
convert(args)
File "/infinity/packages/NeMo_Project/NeMo/scripts/checkpoint_converters/convert_qwen2_hf_to_nemo.py", line 292, in convert
model = load_state_dict_helper(MegatronGPTModel, nemo_config, trainer, checkpoint['state_dict'])
File "/infinity/packages/NeMo_Project/NeMo/nemo/collections/nlp/parts/utils_funcs.py", line 220, in load_state_dict_helper
model = cls(cfg, trainer)
File "/infinity/packages/NeMo_Project/NeMo/nemo/collections/nlp/models/language_modeling/megatron_gpt_model.py", line 342, in __init__
self.model = build_model(
File "/infinity/packages/NeMo_Project/NeMo/nemo/collections/nlp/modules/common/megatron/build_model.py", line 90, in build_model
model = model_provider_func(
File "/infinity/packages/NeMo_Project/NeMo/nemo/collections/nlp/models/language_modeling/megatron_gpt_model.py", line 434, in model_provider_func
transformer_layer_spec=get_specs(
File "/infinity/packages/NeMo_Project/NeMo/nemo/collections/nlp/models/language_modeling/megatron_gpt_model.py", line 169, in get_specs
"megatron_gpt_full_te_layer_autocast": get_gpt_full_te_layer_autocast_spec(transformer_config),
File "/infinity/packages/NeMo_Project/NeMo/nemo/collections/nlp/models/language_modeling/megatron/gpt_full_te_layer_autocast_spec.py", line 331, in get_gpt_full_te_layer_autocast_spec
return TransformerBlockSubmodules(
TypeError: TransformerBlockSubmodules.__init__() got an unexpected keyword argument 'layer_norm'
```
**Steps/Code to reproduce bug**
Run in docker `python3 scripts/checkpoint_converters/convert_qwen2_hf_to_nemo.py --input_name_or_path=/infinity/models/qwen2/Qwen2-7B --output_path=/infinity/models/qwen2/Qwen2-7B.Nemo`
when I encounter the error in origin docker container, I upgrade the megatron-core, but did not work.
**Expected behavior**
convert to nemo format successful
**Environment overview (please complete the following information)**
- Environment location:Docker
- Method of NeMo install: `docker pull nvcr.io/nvidia/nemo:24.05 && docker run -it -w /infinity/packages/NeMo_Project/NeMo --runtime nvidia --net host --name gyj_nemo_local --cap-add IPC_LOCK --shm-size 1500g --ulimit memlock=-1 --privileged -v /mnt:/mnt -v /sys:/sys nvcr.io/nvidia/nemo:24.05 /bin/bash`
**Environment details**
If NVIDIA docker image is used you don't need to specify these.
Otherwise, please provide:
- ubuntu 22.04
- 2.3.0
- 3.10.12
**Additional context**
Add any other context about the problem here.
Example: GPU model
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📝 Please remember the following to-do's before merge:
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We only want to ignore the version if `use_datetime_version` and `resume_if_exists` are both `True`. If a user sets a version manually, we should include it. Previously, all versions were being ignored when `resume_if_exists` was `True`.
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} | # What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
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* You can potentially add a usage example below
```python
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If you haven't finished some of the above items you can still open "Draft" PR.
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NVBug: https://github.com/NVIDIA/NeMo/pull/8845/files
# What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
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```python
# Add a code snippet demonstrating how to use this
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If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
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[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
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* Fixes an issue in Canary's training dataset class.
**Collection**: ASR
# Changelog
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# Usage
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```python
# Add a code snippet demonstrating how to use this
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# GitHub Actions CI
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# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
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**PR Type**:
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- [x] Bugfix
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If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
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[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
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"Have you tried loading the 1.1b using \r\n```python\r\nfrom nemo.collections.asr import ASRModel\r\nmodel = ASRModel.from_pretrained('nvidia/parakeet-tdt-1.1b')\r\n```\r\n\r\nAnd see the memory usage? You would need twice this size initially as you are looking to finetune from existing model. Memory usage at this ... | 2024-08-08T11:29:33 | 2024-09-22T22:28:56 | 2024-09-22T22:28:55 | NONE | {
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https://docs.nvidia.com/nemo-framework/user-guide/latest/nemotoolkit/asr/configs.html#fine-tuning-configurations
First I have created a docker container and inside the container i am running `finetune.sh`. I am getting OutOfMemoryError before starting the traning. I have tried reducing the batch_size = 16, 8, 4, 2, as well as max_duration of the audio files to = 20, 10 , 5 . None of them succeeds. Can anyone help me?
Docker file
```
# Use the specified base image
ARG FROM_IMAGE_NAME=[nvcr.io/nvidia/pytorch:24.01-py3](http://nvcr.io/nvidia/pytorch:24.01-py3)
FROM ${FROM_IMAGE_NAME}
# Set the working directory
WORKDIR /ASR
# Expose port 8000 for external communication
EXPOSE 8000
# Install system dependencies
RUN apt-get update && apt-get install -y screen libsndfile1 ffmpeg libsox-dev gfortran
# Install Cython (needed for NeMo)
RUN pip install Cython
# Clone the specified branch of the pytorch-lightning repository and install it
RUN git clone -b bug_fix https://github.com/athitten/pytorch-lightning.git && \
cd pytorch-lightning && \
PACKAGE_NAME=pytorch pip install -e .
RUN git clone https://github.com/NVIDIA/TransformerEngine.git && \
cd TransformerEngine && \
git fetch origin 8c9abbb80dba196f086b8b602a7cf1bce0040a6a && \
git checkout FETCH_HEAD && \
git submodule init && git submodule update && \
NVTE_FRAMEWORK=pytorch NVTE_WITH_USERBUFFERS=1 MPI_HOME=/usr/local/mpi pip install .
# Copy and install Python dependencies from requirements.txt if necessary
COPY requirements.txt .
RUN pip install -r requirements.txt
# RUN pip uninstall -y huggingface_hub && \
# pip install huggingface_hub==0.22.0
# Set environment variables for NVIDIA
ENV NVIDIA_VISIBLE_DEVICES all
ENV NVIDIA_DRIVER_CAPABILITIES compute,utility
ENV NEMO_CACHE_DIR /efs/smukherjee/ASR/cached_models
# Copy the rest of your application code
COPY . .
```
requirement.txt
```
nemo_toolkit[all]
transformers
huggingface-hub==0.23.2
seaborn
```
finetune.sh
```
#!/usr/bin/env bash
export HF_HOME='/efs/smukherjee/ASR/cached_models/'
export HYDRA_FULL_ERROR=1
python /efs/smukherjee/NeMo/examples/asr/speech_to_text_finetune.py \
--config-path=/efs/smukherjee/NeMo/examples/asr/conf/asr_finetune \
--config-name=speech_to_text_finetune \
model.train_ds.manifest_filepath="/efs/smukherjee/ASR/data/train_finetune_dataset_raw.json" \
model.validation_ds.manifest_filepath="/efs/smukherjee/ASR/data/val_finetune_dataset_raw.json" \
model.train_ds.max_duration=5 \
model.train_ds.batch_size=2 \
model.validation_ds.batch_size=2 \
model.tokenizer.update_tokenizer=False \
trainer.devices=-1 \
trainer.accelerator='gpu' \
trainer.max_epochs=50 \
exp_manager.exp_dir="/efs/smukherjee/ASR/output/finetune" \
+model.joint.fused_batch_size=1 \
+init_from_pretrained_model="nvidia/parakeet-tdt-1.1b"
```
Error:
```
torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 20.00 MiB. GPU 0 has a total capacity of 21.98 GiB of which 18.50 MiB is free. Process 6411 has 21.05 GiB memory in use. Process 7096 has 302.00 MiB memory in use. Process 7094 has 302.00 MiB memory in use. Process 7095 has 302.00 MiB memory in use. Of the allocated memory 20.38 GiB is allocated by PyTorch, and 219.99 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF
Epoch 0: 0%| | 0/16093 [00:13<?, ?it/s]
``` | {
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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."
] | 2024-08-08T06:56:59 | 2024-08-30T01:54:45 | 2024-08-30T01:54:44 | MEMBER | {
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} | # What does this PR do ?
If the helpers.so is under /dev/shm then it fails to load in memory, I got error like
failed to map segment from shared object
I rebuilt it many times, but only worked after moving it outside /dev/shm.
I'm adding a sanity check at the top of the file to avoid this in the future, I don't think many people use /dev/shm but in any case to save in the future.
Edit: I need to double check whether the error "failed to map segment from shared object" was due to docker permissions or indeed due to location..
**Collection**: [Note which collection this PR will affect]
# Changelog
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```python
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```
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} | importing any model with torchrun --nproc_per_node=8 will fail (to reproduce the conversion has to run, make sure to remove any cached models to reproduce).
The solution is to detect whether in multiproc and run conversion only on rank=0.
# What does this PR do ?
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**Collection**: [Note which collection this PR will affect]
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# Add a code snippet demonstrating how to use this
```
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📝 Please remember the following to-do's before merge:
- [ ] Verify the presubmit CI
🙏 Please merge this PR only if the CI workflow completed successfully. | {
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"stopping this now until the CI out of maintenance"
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} | # What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
# GitHub Actions CI
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# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary tests?
- [ ] Did you add or update any necessary documentation?
- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
- [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [ ] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
Anyone in the community is free to review the PR once the checks have passed.
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
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"@marcromeyn @jstjohn for vis"
] | 2024-08-07T22:38:04 | 2024-08-09T18:54:03 | 2024-08-09T18:44:44 | CONTRIBUTOR | {
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} | # What does this PR do ?
Lightning has [Dropped PyTorch 2.0 from the test matrix](https://github.com/Lightning-AI/pytorch-lightning/pull/20009/files#diff-edeb9aa08130aab819bbadaf08ebf1f761433c177ecc38f546e0b19104f5a470L29) and `TORCH_GREATER_EQUAL_2_1` no longer exists. I bumped the version requirement instead of import/check in `NeMo/nemo/lightning/fabric/strategies.py`
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# GitHub Actions CI
The Jenkins CI system has been replaced by GitHub Actions self-hosted runners.
The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR.
To re-run CI remove and add the label again.
To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary tests?
- [ ] Did you add or update any necessary documentation?
- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
- [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [ ] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
Anyone in the community is free to review the PR once the checks have passed.
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
# Additional Information
* Related to # (issue)
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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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"The feature is covered by another PR, which has been merged.\r\nhttps:/... | 2024-08-07T21:39:26 | 2024-12-19T21:09:35 | 2024-08-31T01:54:05 | CONTRIBUTOR | {
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} | # What does this PR do ?
Custom Llama-based models may use custom `head_dim` as it is supported by NeMo/MegatronLM (it's called `kv_channels` in these tools).
The current `convert_llama_nemo_to_hf.py` assumes `head_dim * num_heads == hidden_size`
There's an ongoing PR to support custom `head_dim` in HF
- https://github.com/huggingface/transformers/pull/32502
I've been in touch with and getting support from @suiyoubi for this PR.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
# GitHub Actions CI
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The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR.
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To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".
# Before your PR is "Ready for review"
**Pre checks**:
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- [ ] Did you write any new necessary tests?
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**PR Type**:
- [ ] New Feature
- [ ] Bugfix
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If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
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[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
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} | # What does this PR do ?
Config changes to match nemo 1
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
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**Pre checks**:
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- [ ] Did you write any new necessary tests?
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**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [ ] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
Anyone in the community is free to review the PR once the checks have passed.
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
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} | # What does this PR do ?
incorporate mamba as a part of gpt models.
**Collection**: [NLP]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
# GitHub Actions CI
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- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
- [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [ ] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
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[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
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Removing heuristic setting `max_num_tokens=int(max_input_len * max_batch_size * 0.2)` that may be too strict. This is to produce an engine that can be used beyond the test scripts (e.g. subsequent benchmarking or other evaluations).
**Collection**: NLP
# Changelog
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# Before your PR is "Ready for review"
**Pre checks**:
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} | # What does this PR do ?
fix clip onnx export in CI due to clip attention changes in the recent transformers update.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
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# GitHub Actions CI
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To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".
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**Pre checks**:
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If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
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[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
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Bumped torch version of base container used for tts asr testing as pytorch-lightning>2.2.1 requires torch>=2.1.0
**Collection**: [test]
# Changelog
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# GitHub Actions CI
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- [ ] Did you write any new necessary tests?
- [ ] Did you add or update any necessary documentation?
- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
- [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
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- [ ] New Feature
- [ ] Bugfix
- [ ] Documentation
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Anyone in the community is free to review the PR once the checks have passed.
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
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Fixing the bug for torch dist ckpt read in export | {
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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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} | # What does this PR do ?
The PR Avoid "'NoneType' object is not iterable" error if the test set or validation set has less than self.word_size batches of data.
**Collection**: `nemo/collections/nlp/models/machine_translation/mt_enc_dec_model.py`
# Changelog
- Checks for None before iterating over list of outputs
- The PR was a one liner (the if None check in line 497) but the CI applied black formatting automatically.
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} | null | null | null | **Describe the bug**
Getting `TypeError: EncDecCTCModel.transcribe() got an unexpected keyword argument 'logprobs'`
```bash
all_logits = asr_model.transcribe(audio_file_paths, batch_size=cfg.acoustic_batch_size, logprobs=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: EncDecCTCModel.transcribe() got an unexpected keyword argument 'logprobs'
```
**Steps/Code to reproduce bug**
This happens whenever I pass logprobs as shown bellow.
```python
import nemo.collections.asr as nemo_asr
nemo_model_file="model.nemo"
asr_model = nemo_asr.models.EncDecCTCModelBPE.restore_from(nemo_model_file)
all_logits = asr_model.transcribe([audio_filepath], batch_size=1, logprobs=True)
```
**Expected behavior**
A clear and concise description of what you expected to happen.
**Environment overview (please complete the following information)**
- Environment location: Tested on Lambdalabs and AWS
- Method of NeMo install: from source. Version: '2.0.0rc1'
**Environment details**
If NVIDIA docker image is used you don't need to specify these.
Otherwise, please provide:
- OS version: Ubuntu
- PyTorch version: 2.2.1
- Python version: Python 3.11.9
**Additional context**
GPU: Tested on A100 and T4 GPUs
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"@Vladi-SmartAssets Hi,\r\nI cannot reproduce the issue in the latest main.\r\nWhat NeMo version are you using?",
"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 ... | 2024-08-07T11:57:36 | 2024-09-29T02:03:01 | 2024-09-29T02:03:00 | NONE | {
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} | null | null | null | **Describe the bug**
TypeError: unsupported operand type(s) for +: 'Tensor' and 'list', occurs when wanting to extract the confidence levels for the STT FastConformer model.
**Steps/Code to reproduce bug**
`class NemoModel(HuggingFaceBaseModel):
def __init__(self, model_name, model_path):
super().__init__(model_name)
self.model_path = model_path
self.model = None
def load_model(self):
self.model = nemo_asr.models.EncDecRNNTBPEModel.restore_from(self.model_path, map_location="mps")
def predict(self, input_paths):
confidence_cfg = ConfidenceConfig(
preserve_frame_confidence=True, # Internally set to true if preserve_token_confidence == True
# or preserve_word_confidence == True
preserve_token_confidence=True, # Internally set to true if preserve_word_confidence == True
preserve_word_confidence=True,
aggregation="prod", # How to aggregate frame scores to token scores and token scores to word scores
exclude_blank=False, # If true, only non-blank emissions contribute to confidence scores
tdt_include_duration=False, # If true, calculate duration confidence for the TDT models
method_cfg=ConfidenceMethodConfig( # Config for per-frame scores calculation (before aggregation)
name="max_prob", # Or "entropy" (default), which usually works better
entropy_type="gibbs", # Used only for name == "entropy". Recommended: "tsallis" (default) or "renyi"
alpha=0.5, # Low values (<1) increase sensitivity, high values decrease sensitivity
entropy_norm="lin", # How to normalize (map to [0,1]) entropy. Default: "exp"
),
)
self.model.change_decoding_strategy(RNNTDecodingConfig(fused_batch_size=-1, strategy="greedy_batch", confidence_cfg=confidence_cfg))
transcriptions = self.model.transcribe(
audio=input_paths, return_hypotheses=True
)
fastconformer_transcriptions = [x for x in transcriptions][0]
return fastconformer_transcriptions
`
This when run with model.transcribe will throw the following error:
` for ts, te in zip(hyp.timestep, hyp.timestep[1:] + [len(hyp.frame_confidence)]):
TypeError: unsupported operand type(s) for +: 'Tensor' and 'list'`
**Expected behavior**
Expected behaviour is for the zip function to take the torch.tensor not the list, as hyp.timestamps is a Tensor and hyp.frame_confidence is a list of tensors. (Tensor[float], List[Tensor[float]]
**Environment overview (please complete the following information)**
- Environment location: Docker
- Method of NeMo install: pip install nemo
**Environment details**
If NVIDIA docker image is used you don't need to specify these.
Otherwise, please provide:
- OS version: MacOS 14.5 (23F79)
- PyTorch version: 2.3.1
- Python version: 3.10
**Additional context**
Add any other context about the problem here.
Example: Using MPS
Proposed solution:
replace the following line 633 in nemo/collections/asr/parts/submodules/rnnt_decoding.py:
` for ts, te in zip(hyp.timestep, hyp.timestep[1:] + [len(hyp.frame_confidence)]):`
with
` for ts, te in zip(hyp.timestep, hyp.timestep[1:] + len(hyp.frame_confidence)):`
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https://api.github.com/repos/NVIDIA/NeMo/issues/10065 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/10065/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/10065/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/10065/events | https://github.com/NVIDIA/NeMo/pull/10065 | 2,451,886,627 | PR_kwDOC_bI7s53oBP2 | 10,065 | Bump `Dockerfile.ci` (2024-08-07) | {
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} | 🚀 PR to Bump `Dockerfile.ci`.
📝 Please remember the following to-do's before merge:
- [ ] Verify the presubmit CI
🙏 Please merge this PR only if the CI workflow completed successfully. | {
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