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# 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The Jenkins CI system has been replaced by GitHub Actions self-hosted runners.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"
**Pre checks**:
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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
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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
- 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The Jenkins CI system has been replaced by GitHub Actions self-hosted runners.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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# 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**:
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"This issue is stale because it has been open for 30 days with no activity. Remove stale label or comment or this will be closed in 7 days.",
"This issue was closed because it has been inactive for 7 days since being marked as stale."
] | 2024-07-29T17:52:51 | 2024-09-08T01:58:46 | 2024-09-08T01:58:46 | NONE | {
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} | null | null | null | **Describe the bug**
This [code block](https://github.com/NVIDIA/NeMo/blob/72f630d087d45655b1a069dc72debf01dfdbdb2d/nemo/utils/exp_manager.py#L785-L803) in exp_manager::check_resume seems to attempt to archive all log files from previous run to a folder `run_<count>`, even when train from scratch. However, due to the different timing in initialization, each task could produce `log_dir / f'nemo_log_globalrank-{global_rank}_localrank-{local_rank}.txt'` before or after this code block. Therefore some of the log files are moved to `run_0` even though they were produced for current run. Notice [seconds_to_sleep](https://github.com/NVIDIA/NeMo/blob/72f630d087d45655b1a069dc72debf01dfdbdb2d/nemo/utils/exp_manager.py#L612) didn't help here because `log_dir / f'nemo_log_globalrank-{global_rank}_localrank-{local_rank}.txt'` is already generated for this non-zero rank worker.
**Steps/Code to reproduce bug**
Run `megatron_gpt_pretraining.py` for any model from scatch with multiple tasks. In my example, I used 1 DGXH100 through slurm, there are 8 tasks in total (1 gpu for each task). The `explicit_log_dir` end up like following:
```
├── cmd-args.log
├── events.out.tfevents.1721866799.##########.2542397.0
├── git-info.log
├── hparams.yaml
├── lightning_logs.txt
├── nemo_error_log.txt
├── nemo_log_globalrank-0_localrank-0.txt
├── nemo_log_globalrank-1_localrank-1.txt
├── nemo_log_globalrank-3_localrank-3.txt
├── nemo_log_globalrank-7_localrank-7.txt
└── run_0
├── nemo_log_globalrank-2_localrank-2.txt
├── nemo_log_globalrank-4_localrank-4.txt
├── nemo_log_globalrank-5_localrank-5.txt
└── nemo_log_globalrank-6_localrank-6.txt
1 directory, 14 files
```
Notice for rank 2, 4, 5, 6, log files for this current run are archived in `run_0` incorrectly.
**Expected behavior**
- When training from scatch, `run_0` folder should not be created, everything will be logged to `log_dir` directly.
- When resume training, only log files from previous run will be archived to `run_<count>` folder, log files for current run will still be logged to log_dir directly.
**Environment overview (please complete the following information)**
Not relevant to this bug.
**Environment details**
Not relevant to this bug.
**Additional context**
None
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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.",
"Hi @meatybobby ,\r\nPlease let me know if we should add internal CICD tests or [cicd-main.yml](https://github.com/Slyne/NeMo/blob/salm_trtllm_llm/.github/workflows/cicd-main.yml).\r\n",
"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."
] | 2024-07-29T16:28:43 | 2024-09-14T01:54:58 | 2024-09-14T01:54:57 | CONTRIBUTOR | {
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} | # What does this PR do ?
Export SALM model to nemo trtllm
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
Run export:
Please refer to `https://github.com/Slyne/NeMo/blob/salm_trtllm_llm/examples/multimodal/speech_llm/export/README.md`
Run deploy:
```bash
python3 NeMo/scripts/deploy/multimodal/deploy_triton.py \
--modality="audio" \
--visual_checkpoint=NeMo/examples/multimodal/speech_llm/export/output/speechllm_fc_llama2_7b_perception \
--llm_checkpoint=NeMo/examples/multimodal/speech_llm/export/speechllm_fc_llama2_7b_llm_merged.nemo \
--llm_model_type="llama" \
--model_type="salm" \
--triton_model_name="salm" \
--max_input_len=4096 \
--max_output_len=256 \
--max_multimodal_len=3072 \
--triton_model_repository=/tmp/trt_model_dir/
```
Run query:
```
python3 NeMo/scripts/deploy/multimodal/query.py \
--model_name="salm" \
--model_type="salm" \
--input_text="Q: what's the transcription of the audio? A:" \
--input_media=/ws/data/test-clean-processed/7729-102255-0009.wav
```
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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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**PR Type**:
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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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**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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```python
# Add a code snippet demonstrating how to use this
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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?
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 ?
Add a one line overview of what this PR aims to accomplish.
Make the speaker ID model accept an `np.ndarray[np.float32]`, not just an audio file path.
**Collection**: `asr`
# Usage
```python
waveform, sr = torchaudio.load("someaudio.wav")
emb = model.get_embedding(waveform.numpy()[0]).to("cpu")
```
# GitHub Actions CI
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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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[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
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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?
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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 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."
] | 2024-07-27T05:43:34 | 2024-08-19T01:52:37 | 2024-08-19T01:52:36 | CONTRIBUTOR | {
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} | # What does this PR do ?
- Adds/updates docstrings for the following classes:
- `PreTrainingDataModule`
- `MegatronParallel`
- `MegatronStrategy`
- `ModelCheckpoint`
- `Resume`
- Updates the default of `ckpt_include_optimizer` to `True`
- Makes `model` an optional argument to `nemo_path` as the model is only required when `adapter_path` is provided
**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
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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**:
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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.
# 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
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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.
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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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The original pr: https://github.com/NVIDIA/NeMo/pull/9842
Cherry picked the commits.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
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```python
# Add a code snippet demonstrating how to use this
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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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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.
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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?
- [ ] 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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Fix for HF dataset conversion to nemo
**Collection**: ASR
# 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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- [ ] 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
- [x] 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 ?
Fix for HF dataset conversion to nemo
**Collection**: ASR
# 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**:
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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?
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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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Leftover fix from 9911, not functionally critical.
**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"
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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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* 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?
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"Was functionality tested? All is working well - as per the testing process & results?",
"Hi @malay-nagda , This callback just computes the TFLOPs on training end. Do you guys have in the roadmap logging other metrics such tokens per second during training instead of just on training end? I could work on that feature!"
] | 2024-07-26T19:37:00 | 2024-08-10T16:10:56 | 2024-08-04T06:41:53 | COLLABORATOR | {
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Log TFLOPs per sec per GPU (for LLMs)
**Collection**: [common, nlp, Run CICD]
# Changelog
- `callbacks.append(FLOPsMeasurementCallback(self.cfg))`
# Usage
```python
from pytorch_lightning import Trainer
from nemo.collections.common.metrics.perf_metrics import FLOPsMeasurementCallback
callbacks = []
flops_measurement_callback = FLOPsMeasurementCallback(self.cfg)
callbacks.append(flops_measurement_callback)
trainer = Trainer(..., callbacks=callbacks)
...
trainer.fit(model)
```
# 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**:
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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
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 #9673
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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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- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
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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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"Closing this due to CI related issues. Created this PR instead: https://github.com/NVIDIA/NeMo/pull/10071"
] | 2024-07-26T18:45:58 | 2024-08-07T16:06:49 | 2024-08-07T16:06:49 | CONTRIBUTOR | {
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fixing the bug for torch dist ckpt read in export | {
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} | # What does this PR do ?
This PR adds an additional notebook covering new features in Neva:
-Mistral+Mixtral support
-Token Fusion support
-SigLIP support
-Video modality support
**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**:
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**PR Type**:
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- [ ] 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 ?
- Automatically adds IO functionality to trainer's callbacks and loggers
- Automatically adds IO functionality to any custom classes when loading context
- Makes `enable_nemo_ckpt_io` compatible with async checkpointing
**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**:
- [ ] 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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} | # 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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} | # What does this PR do ?
This PR adds an additional notebook covering new features in Neva:
-Mistral+Mixtral support
-Token Fusion support
-SigLIP support
-Video modality support
**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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# Before your PR is "Ready for review"
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Roll back dist checkpoint loading changes from strict, which cause neva loading failed
**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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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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# 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".
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**Pre checks**:
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- [ ] Did you write any new necessary tests?
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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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# Changelog
- Add specific line by line info of high level changes in this PR.
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```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**:
- [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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**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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"patch_url": "https://github.com/NVIDIA/NeMo/pull/9918.patch",
"merged_at": "2024-08-06T03:01:54"
} | # What does this PR do ?
Resolve issue caused by Dask version
**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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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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If you haven't finished some of the above items you can still open "Draft" PR.
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"This issue is stale because it has been open for 30 days with no activity. Remove stale label or comment or this will be closed in 7 days.",
"This issue was closed because it has been inactive for 7 days since being marked as stale."
] | 2024-07-26T14:29:01 | 2024-09-09T01:56:57 | 2024-09-09T01:56:57 | CONTRIBUTOR | {
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Hi, there is some very old code it seems for BERT
https://github.com/NVIDIA/NeMo/pull/821
Is this still used? My understanding is there has been since then more efficient dataloader and code inside NeMo for training BERT? So maybe you don't need this anymore to remove confusion?
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} | # What does this PR do ?
- Fix Docker container build (currently fails) from `Dockerfile`
- Make `Dockerfile` consistent with `Dockerfile.ci` used on CI
- Fix k2 installation
**Known issues**: `TransformerEngine` custom installation results in failures when no GPUs are present: `from nemo.core import ModelPT` fails with `OSError: libcuda.so.1: cannot open shared object file: No such file or directory`. Removing the custom TransformerEngine installation solves the issue. It is also possible to adjust LD_LIBRARY_PATH, but if done globally, this breaks the container with GPU. So, currently, there is a temporary workaround before imports since `docker build` does not expose GPUs (and should not since we want to compile for all architectures, not only for current GPUs).
**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**:
- [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?
- [ ] Did you add or update any necessary documentation?
- [x] 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?
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.",
"This PR was closed because it has been inactive for 7 days since being marked as stale."
] | 2024-07-26T13:29:43 | 2024-08-18T01:54:19 | 2024-08-18T01:54:18 | CONTRIBUTOR | {
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} | Temporarily disable cuda graph based RNN-T greedy inference for r2.0.0rc1.
For very rare input shapes, a cooperative kernel might be used by
pytorch for LSTM operations. This does not work within a cuda graph
conditional node until CUDA 12.6.
Unfortunately CUDA 12.6 is not part of the 24.07 pytorch container
release, which this release of nemo is intended for.
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"<!-- pylint-output-strict-mode-false -->\n\nbeep boop 🤖: 🙏 The following files have warnings. In case you are familiar with these, please try helping us to improve the code base.\n\n---\n\nYour code was analyzed with PyLint. The following annotations have been identified:\n\n```\n************* Module nemo.collections.llm.gpt.data.core\nnemo/collections/llm/gpt/data/core.py:1:0: C0114: Missing module docstring (missing-module-docstring)\nnemo/collections/llm/gpt/data/core.py:11:0: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/llm/gpt/data/core.py:18:0: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/llm/gpt/data/core.py:18:0: R0913: Too many arguments (17/5) (too-many-arguments)\nnemo/collections/llm/gpt/data/core.py:18:0: R0917: Too many positional arguments (17/5) (too-many-positional-arguments)\nnemo/collections/llm/gpt/data/core.py:18:0: R0914: Too many local variables (19/15) (too-many-locals)\nnemo/collections/llm/gpt/data/core.py:38:4: C0415: Import outside toplevel (nemo.collections.nlp.data.language_modeling.megatron.gpt_sft_dataset.GPTSFTDataset) (import-outside-toplevel)\n************* Module nemo.collections.nlp.data.language_modeling.megatron.gpt_sft_dataset\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:29:0: C0301: Line too long (115/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:53:0: C0301: Line too long (117/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:62:0: C0301: Line too long (111/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:69:0: C0301: Line too long (353/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:70:0: C0301: Line too long (114/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:71:0: C0301: Line too long (173/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:72:0: C0301: Line too long (156/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:75:0: C0301: Line too long (111/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:78:0: C0301: Line too long (157/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:81:0: C0301: Line too long (147/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:82:0: C0301: Line too long (178/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:83:0: C0301: Line too long (138/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:84:0: C0301: Line too long (121/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:85:0: C0301: Line too long (116/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:86:0: C0301: Line too long (144/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:87:0: C0301: Line too long (109/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:89:0: C0301: Line too long (247/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:91:0: C0301: Line too long (116/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:162:0: C0301: Line too long (125/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:171:0: C0301: Line too long (121/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:183:0: C0301: Line too long (109/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:237:0: C0301: Line too long (102/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:240:0: C0301: Line too long (137/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:243:0: C0301: Line too long (133/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:256:0: C0301: Line too long (110/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:267:0: C0301: Line too long (105/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:268:0: C0301: Line too long (146/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:270:0: C0301: Line too long (108/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:273:0: C0301: Line too long (153/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:274:0: C0301: Line too long (155/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:277:0: C0301: Line too long (108/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:296:0: C0301: Line too long (127/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:323:0: C0301: Line too long (114/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:343:0: C0301: Line too long (108/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:385:0: C0301: Line too long (120/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:395:0: C0301: Line too long (107/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:413:0: C0301: Line too long (101/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:483:0: C0301: Line too long (117/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:488:0: C0301: Line too long (113/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:499:0: C0301: Line too long (114/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:501:0: C0301: Line too long (118/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:502:0: C0301: Line too long (116/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:523:0: C0301: Line too long (106/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:528:0: C0301: Line too long (103/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:549:0: C0301: Line too long (108/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:556:0: C0301: Line too long (117/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:575:0: C0301: Line too long (107/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:611:0: C0301: Line too long (113/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:631:0: C0301: Line too long (102/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:645:0: C0301: Line too long (114/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:647:0: C0301: Line too long (109/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:658:0: C0301: Line too long (107/100) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:1:0: C0114: Missing module docstring (missing-module-docstring)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:19:0: E0401: Unable to import 'datasets' (import-error)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:20:0: E0401: Unable to import 'numpy' (import-error)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:21:0: E0401: Unable to import 'torch' (import-error)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:25:0: E0401: Unable to import 'datasets' (import-error)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:25:0: C0413: Import \"from datasets import load_dataset\" should be placed at the top of the module (wrong-import-position)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:27:0: C0413: Import \"from nemo.collections.common.tokenizers.tokenizer_spec import TokenizerSpec\" should be placed at the top of the module (wrong-import-position)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:28:0: C0413: Import \"from nemo.collections.nlp.data.language_modeling.megatron.dataset_utils import get_samples_mapping\" should be placed at the top of the module (wrong-import-position)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:29:0: C0413: Import \"from nemo.collections.nlp.data.language_modeling.text_memmap_dataset import JSONLMemMapDataset, OnlineSampleMapping\" should be placed at the top of the module (wrong-import-position)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:30:0: C0413: Import \"from nemo.core.classes import Dataset\" should be placed at the top of the module (wrong-import-position)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:31:0: C0413: Import \"from nemo.utils import logging\" should be placed at the top of the module (wrong-import-position)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:36:0: C0115: Missing class docstring (missing-class-docstring)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:36:0: R0902: Too many instance attributes (31/7) (too-many-instance-attributes)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:37:4: R0913: Too many arguments (29/5) (too-many-arguments)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:37:4: R0917: Too many positional arguments (29/5) (too-many-positional-arguments)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:37:4: R0914: Too many local variables (29/15) (too-many-locals)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:204:8: R1705: Unnecessary \"else\" after \"return\", remove the \"else\" and de-indent the code inside it (no-else-return)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:261:18: R1721: Unnecessary use of a comprehension, use dict(zip(placeholders, prompt_template_values)) instead. (unnecessary-comprehension)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:263:18: R1721: Unnecessary use of a comprehension, use dict(zip(placeholders, self.prompt_template_keys)) instead. (unnecessary-comprehension)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:350:20: R1723: Unnecessary \"else\" after \"break\", remove the \"else\" and de-indent the code inside it (no-else-break)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:364:8: R1705: Unnecessary \"elif\" after \"return\", remove the leading \"el\" from \"elif\" (no-else-return)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:437:8: R1705: Unnecessary \"else\" after \"return\", remove the \"else\" and de-indent the code inside it (no-else-return)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:483:21: W3301: Do not use nested call of 'max'; it's possible to do 'max(*[len(x) for x in input_ids])' instead (nested-min-max)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:483:25: R1728: Consider using a generator instead 'max(len(x) for x in input_ids)' (consider-using-generator)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:483:59: R1728: Consider using a generator instead 'max(len(x) for x in contexts)' (consider-using-generator)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:522:0: C0115: Missing class docstring (missing-class-docstring)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:546:15: W0718: Catching too general exception Exception (broad-exception-caught)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:551:12: R1722: Consider using 'sys.exit' instead (consider-using-sys-exit)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:561:12: W0106: Expression \"[np.random.shuffle(x) for x in indices]\" is assigned to nothing (expression-not-assigned)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:580:4: R0914: Too many local variables (16/15) (too-many-locals)\n************* Module nemo.collections.nlp.models.language_modeling.megatron_gpt_sft_model\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:29:0: C0301: Line too long (103/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:30:0: C0301: Line too long (115/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:36:0: C0301: Line too long (104/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:44:0: C0301: Line too long (109/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:67:0: C0301: Line too long (107/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:70:0: C0301: Line too long (105/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:74:0: C0301: Line too long (110/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:102:0: C0301: Line too long (125/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:107:0: C0301: Line too long (135/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:115:0: C0301: Line too long (106/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:116:0: C0301: Line too long (124/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:122:0: C0301: Line too long (111/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:123:0: C0301: Line too long (140/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:127:0: C0301: Line too long (159/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:136:0: C0301: Line too long (104/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:143:0: C0301: Line too long (111/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:154:0: C0301: Line too long (107/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:159:0: C0301: Line too long (145/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:172:0: C0301: Line too long (105/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:179:0: C0301: Line too long (110/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:196:0: C0301: Line too long (116/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:206:0: C0301: Line too long (122/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:215:0: C0301: Line too long (134/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:226:0: C0301: Line too long (106/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:229:0: C0301: Line too long (118/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:240:0: C0301: Line too long (152/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:248:0: C0301: Line too long (113/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:258:0: C0301: Line too long (109/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:259:0: C0301: Line too long (108/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:264:0: C0301: Line too long (114/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:286:0: C0301: Line too long (101/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:291:0: C0301: Line too long (125/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:297:0: C0301: Line too long (146/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:303:0: C0301: Line too long (245/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:312:0: C0301: Line too long (117/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:319:0: C0301: Line too long (121/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:333:0: C0301: Line too long (108/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:334:0: C0301: Line too long (132/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:347:0: C0301: Line too long (101/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:373:0: C0301: Line too long (111/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:394:0: C0301: Line too long (108/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:439:0: C0301: Line too long (145/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:442:0: C0301: Line too long (145/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:445:0: C0301: Line too long (102/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:453:0: C0301: Line too long (128/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:487:0: C0301: Line too long (108/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:488:0: C0301: Line too long (142/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:493:0: C0301: Line too long (110/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:519:0: C0301: Line too long (119/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:523:0: C0301: Line too long (108/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:526:0: C0301: Line too long (117/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:553:0: C0301: Line too long (112/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:557:0: C0301: Line too long (108/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:559:0: C0301: Line too long (131/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:569:0: C0301: Line too long (104/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:581:0: C0301: Line too long (130/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:589:0: C0301: Line too long (101/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:601:0: C0301: Line too long (124/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:605:0: C0301: Line too long (108/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:612:0: C0301: Line too long (108/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:615:0: C0301: Line too long (106/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:630:0: C0301: Line too long (109/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:643:0: C0301: Line too long (114/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:676:0: C0301: Line too long (104/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:683:0: C0301: Line too long (104/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:694:0: C0301: Line too long (117/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:696:0: C0301: Line too long (111/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:705:0: C0301: Line too long (101/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:751:0: C0301: Line too long (112/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:777:0: C0301: Line too long (112/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:793:0: C0301: Line too long (107/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:795:0: C0301: Line too long (102/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:803:0: C0301: Line too long (102/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:898:0: C0301: Line too long (109/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:903:0: C0301: Line too long (142/100) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:419:31: W0511: TODO: need a nicer way to do this via inheritance (@adithyare) (fixme)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:569:9: W0511: TODO: this method should be modularized. It is too long and does too many things. (@adithyare) (fixme)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:1:0: C0114: Missing module docstring (missing-module-docstring)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:19:0: E0401: Unable to import 'torch' (import-error)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:20:0: E0401: Unable to import 'omegaconf' (import-error)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:21:0: E0401: Unable to import 'pytorch_lightning.loops.fetchers' (import-error)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:22:0: E0401: Unable to import 'pytorch_lightning.trainer.trainer' (import-error)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:57:0: R0901: Too many ancestors (13/7) (too-many-ancestors)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:57:0: R0902: Too many instance attributes (22/7) (too-many-instance-attributes)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:91:4: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:91:4: R0912: Too many branches (16/12) (too-many-branches)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:153:4: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:153:4: R1711: Useless return at end of function or method (useless-return)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:190:4: R0914: Too many local variables (18/15) (too-many-locals)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:196:29: W1309: Using an f-string that does not have any interpolated variables (f-string-without-interpolation)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:214:24: W1309: Using an f-string that does not have any interpolated variables (f-string-without-interpolation)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:230:44: R1728: Consider using a generator instead 'sum(x[0] for x in num_train_samples_per_dataset)' (consider-using-generator)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:308:8: R1705: Unnecessary \"else\" after \"return\", remove the \"else\" and de-indent the code inside it (no-else-return)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:190:4: R0912: Too many branches (16/12) (too-many-branches)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:322:8: R1705: Unnecessary \"else\" after \"return\", remove the \"else\" and de-indent the code inside it (no-else-return)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:332:4: R0914: Too many local variables (25/15) (too-many-locals)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:419:8: R1705: Unnecessary \"else\" after \"return\", remove the \"else\" and de-indent the code inside it (no-else-return)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:332:4: R0912: Too many branches (16/12) (too-many-branches)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:424:4: W0221: Number of parameters was 3 in 'MegatronGPTModel.validation_step' and is now 2 in overriding 'MegatronGPTSFTModel.validation_step' method (arguments-differ)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:430:4: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:438:15: C0123: Use isinstance() rather than type() for a typecheck. (unidiomatic-typecheck)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:445:15: C0123: Use isinstance() rather than type() for a typecheck. (unidiomatic-typecheck)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:451:4: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:487:4: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:487:4: R0913: Too many arguments (6/5) (too-many-arguments)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:487:4: R0917: Too many positional arguments (6/5) (too-many-positional-arguments)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:487:4: R0914: Too many local variables (24/15) (too-many-locals)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:509:33: W0622: Redefining built-in 'input' (redefined-builtin)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:559:20: W1309: Using an f-string that does not have any interpolated variables (f-string-without-interpolation)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:487:4: R0912: Too many branches (15/12) (too-many-branches)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:568:4: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:568:4: R0912: Too many branches (14/12) (too-many-branches)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:568:4: R1710: Either all return statements in a function should return an expression, or none of them should. (inconsistent-return-statements)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:690:4: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:692:13: W1514: Using open without explicitly specifying an encoding (unspecified-encoding)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:705:4: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:705:4: R0913: Too many arguments (6/5) (too-many-arguments)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:705:4: R0917: Too many positional arguments (6/5) (too-many-positional-arguments)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:722:16: W0707: Consider explicitly re-raising using 'except ValueError as exc' and 'raise ValueError(f'Could not convert {label} to float.') from exc' (raise-missing-from)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:738:16: W0707: Consider explicitly re-raising using 'except ValueError as exc' and 'raise ValueError(f'Could not convert {label} to int.') from exc' (raise-missing-from)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:792:4: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:792:4: R1711: Useless return at end of function or method (useless-return)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:800:4: W0221: Number of parameters was 1 in 'MegatronGPTModel.build_train_valid_test_datasets' and is now 2 in overriding 'MegatronGPTSFTModel.build_train_valid_test_datasets' method (arguments-differ)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:811:11: R1714: Consider merging these comparisons with 'in' by using 'stage in ('validate', 'test')'. Use a set instead if elements are hashable. (consider-using-in)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:842:31: R1719: The if expression can be replaced with 'test' (simplifiable-if-expression)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:845:4: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:854:4: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:865:4: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:877:4: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:889:4: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:902:4: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:167:8: W0201: Attribute 'init_consumed_samples' defined outside __init__ (attribute-defined-outside-init)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:796:12: W0201: Attribute '_test_ds' defined outside __init__ (attribute-defined-outside-init)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:804:12: W0201: Attribute '_validation_ds' defined outside __init__ (attribute-defined-outside-init)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:814:8: W0201: Attribute '_train_ds' defined outside __init__ (attribute-defined-outside-init)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_sft_model.py:57:0: R0904: Too many public methods (24/20) (too-many-public-methods)\n************* Module scripts.nlp_language_modeling.prepare_packed_ft_dataset\nscripts/nlp_language_modeling/prepare_packed_ft_dataset.py:25:0: C0301: Line too long (105/100) (line-too-long)\nscripts/nlp_language_modeling/prepare_packed_ft_dataset.py:30:3: C0303: Trailing whitespace (trailing-whitespace)\nscripts/nlp_language_modeling/prepare_packed_ft_dataset.py:73:0: C0301: Line too long (117/100) (line-too-long)\nscripts/nlp_language_modeling/prepare_packed_ft_dataset.py:83:0: C0301: Line too long (109/100) (line-too-long)\nscripts/nlp_language_modeling/prepare_packed_ft_dataset.py:135:0: C0301: Line too long (112/100) (line-too-long)\nscripts/nlp_language_modeling/prepare_packed_ft_dataset.py:159:0: C0301: Line too long (118/100) (line-too-long)\nscripts/nlp_language_modeling/prepare_packed_ft_dataset.py:162:0: C0301: Line too long (108/100) (line-too-long)\nscripts/nlp_language_modeling/prepare_packed_ft_dataset.py:163:0: C0301: Line too long (120/100) (line-too-long)\nscripts/nlp_language_modeling/prepare_packed_ft_dataset.py:165:0: C0301: Line too long (105/100) (line-too-long)\nscripts/nlp_language_modeling/prepare_packed_ft_dataset.py:1:0: C0114: Missing module docstring (missing-module-docstring)\nscripts/nlp_language_modeling/prepare_packed_ft_dataset.py:19:0: E0401: Unable to import 'numpy' (import-error)\nscripts/nlp_language_modeling/prepare_packed_ft_dataset.py:30:0: W0105: String statement has no effect (pointless-string-statement)\nscripts/nlp_language_modeling/prepare_packed_ft_dataset.py:118:0: C0115: Missing class docstring (missing-class-docstring)\nscripts/nlp_language_modeling/prepare_packed_ft_dataset.py:124:4: C0116: Missing function or method docstring (missing-function-docstring)\nscripts/nlp_language_modeling/prepare_packed_ft_dataset.py:137:0: C0116: Missing function or method docstring (missing-function-docstring)\nscripts/nlp_language_modeling/prepare_packed_ft_dataset.py:175:4: E1120: No value for argument 'cfg' in function call (no-value-for-parameter)\n\n-----------------------------------\nYour code has been rated at 6.59/10\n```\n\n---\n\nMitigation guide:\n\n* Add sensible and useful docstrings to functions and methods\n* For trivial methods like getter/setters, consider adding `# pylint: disable=C0116` inside the function itself\n* To disable multiple functions/methods at once, put a `# pylint: disable=C0116` before the first and a `# pylint: enable=C0116` after the last.\n\nBy applying these rules, we reduce the occurance of this message in future.\n\nThank you for improving NeMo's documentation!"
] | 2024-07-26T09:04:48 | 2024-12-25T02:16:36 | 2024-07-30T16:08:06 | CONTRIBUTOR | {
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# What does this PR do ?
Adds a Knob for OnlineSampling by introducing a new parameter 'global_sample_mapping' in the SFT config YAML(default value is false).
The feature was proposed in this [Nvbug](https://nvbugspro.nvidia.com/bug/4682975?commentNumber=4). This will allow users to choose the data sample method that best suits their needs.
**Collection**: NeMo's NLP collection
# Changelog
- SFT config.yaml
- Passing parameters
- Control whether to use OnlineSampleMapping
# Usage
change 'global_sample_mapping' in megatron_gpt_finetuning_config.yaml
False (default): Use OnlineSampleMapping. Shuffle the dataset within each epoch.
True: Shuffle the replicated data all together.
# 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?
- [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?
@ericharper
Anyone in the community is free to review the PR once the checks have passed.
# Additional Information
* Related to [nvbug](https://nvbugspro.nvidia.com/bug/4682975?commentNumber=4)
The second suggested Improvement has not been fixed yet | {
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} | # What does this PR do ?
This PR adds an additional notebook covering new features in Neva:
-Mistral+Mixtral support
-Token Fusion support
-SigLIP support
-Video modality support
**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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"Besides the minor comment above, LGTM"
] | 2024-07-26T06:19:39 | 2024-07-26T19:47:03 | 2024-07-26T19:47:02 | MEMBER | {
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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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} | # What does this PR do ?
Resolve issue caused by Dask version
**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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"@ericharper @akoumpa for vis",
"Thanks, I'll have a fix soon.",
"https://github.com/NVIDIA/NeMo/pull/9953",
"How about the other way around ? :) Nemo to HF for Mistral Instruct and Base"
] | 2024-07-26T03:18:59 | 2024-08-02T00:01:11 | 2024-07-29T22:27:25 | NONE | {
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} | null | null | null | **Is your feature request related to a problem? Please describe.**
Currently the only provided conversion script is https://github.com/NVIDIA/NeMo/blob/main/scripts/checkpoint_converters/convert_mistral_7b_hf_to_nemo.py. This script doesn't support converting the latest https://huggingface.co/mistralai/Mistral-Nemo-Base-2407 model - I encountered the following issues:
* It does not properly process the `head_dim` parameter which results in weight shape mismatch.
* Supporting the above also requires upgrading the transformers package to the latest version, which brings additional issues like `ALBERT_PRETRAINED_MODEL_ARCHIVE_LIST` not defined in `transformers` which was referenced in nemo/collections/nlp/modules/common/huggingface/huggingface_utils.py.
* The tokenizer conversion doesn't seem to be properly handled. It looks for `tokenizer.model` which does not exist for this new model which uses tekken and the tokenizer file is a json.
**Describe the solution you'd like**
* Upgrade transformers package to latest
* Update the mistral conversion script to support the latest mistral nemo model
* Fix the tokenizer conversion | {
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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
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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**:
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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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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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* 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?
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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**:
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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?
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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"This PR was closed because it has been inactive for 7 days since being marked as stale."
] | 2024-07-25T20:18:15 | 2024-08-18T01:54:21 | 2024-08-18T01:54:20 | CONTRIBUTOR | {
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Updates documentation for Tensor Parallelism
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Fixes an issue where Canary would sometimes output a lot of <endoftext> tokens, causing inflated WER and BLEU metrics. It also elegantly strips the prompt and EOS/PAD tokens from the recognitions inside the decoding module so we can remove a lot of external logic in WER/BLEU/transcribe related to stripping special tokens. The new approach is more generic and will support arbitrary prompt formats going forward.
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# 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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Adds documentation page for rampup bs feature.
**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]
nlp
# Changelog
- Removed tracking of tempfiles in the S3CheckpointIO
# 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**:
- [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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- [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
**PR Type**:
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- [x] 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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Updates the Latest News with new blogs and adds a Blog section at the end that provides the legacy blog news.
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Cherry picking two PRs into r2.0.0rc1
https://github.com/NVIDIA/NeMo/pull/9776
https://github.com/NVIDIA/NeMo/pull/9783
**Collection**: [nlp],[multimodal]
# 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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} | # What does this PR do ?
- Adds/updates docstrings for the following classes:
- `PreTrainingDataModule`
- `MegatronParallel`
- `MegatronStrategy`
- `ModelCheckpoint`
- `Resume`
- Updates the default of `ckpt_include_optimizer` to `True`
- Makes `model` an optional argument to `nemo_path` as the model is only required when `adapter_path` is provided
**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**:
- [ ] 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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# Usage
* You can potentially add a usage example below
```python
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```
# GitHub Actions CI
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- [ ] Bugfix
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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]
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- 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.
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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"
**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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"There was a another comment asking about the numpy < 2 requirement. It's due to the use of `numpy.sctypes()` which has been removed from NumPy 2. (As have the scalar type predicates, `issctype()` and `issubsctype()`.)\r\n\r\nThis occurs inside the ClusteringDiarizer:\r\n\r\n```\r\n File \"/code/nemo/t/lib/python3.10/site-packages/nemo/collections/asr/parts/preprocessing/segment.py\", line 258, in _convert_samples_to_float32\r\n if samples.dtype in np.sctypes['int']:\r\n File \"/code/nemo/t/lib/python3.10/site-packages/numpy/__init__.py\", line 397, in __getattr__\r\n raise AttributeError(\r\nAttributeError: `np.sctypes` was removed in the NumPy 2.0 release. Access dtypes explicitly instead.. Did you mean: 'dtypes'?\r\n```\r\n\r\nIt does not appear to be used in many locations:\r\n\r\n```\r\n$ grep -r 'in .*\\.sctypes' .\r\n./nemo/collections/asr/parts/preprocessing/feature_loader.py: if samples.dtype in np.sctypes['int']:\r\n./nemo/collections/asr/parts/preprocessing/feature_loader.py: elif samples.dtype in np.sctypes['float']:\r\n./nemo/collections/asr/parts/preprocessing/segment.py: if samples.dtype in np.sctypes['int']:\r\n./nemo/collections/asr/parts/preprocessing/segment.py: elif samples.dtype in np.sctypes['float']:\r\n```\r\n\r\nI experimented, and I believe this could be changed to use `issubdtype()` which is present in both NumPy 1.x and 2. I could look more closely at NumPy 2 in another PR. ~~It might be nice to start moving NeMo toward it, as it seems NumPy 2 has significant improvements. LMK.~~\r\n\r\nAside from NeMo code, NumPy 2 will at least need Tensorboard >= 2.18, for its update to NumPy 2 ([done](https://github.com/tensorflow/tensorboard/commit/b163c5df852f08468013fb292bff854e5f49add0) but not released).\r\n\r\nThanks for the feedback on this PR!",
"This PR is stale because it has been open for 14 days with no activity. Remove stale label or comment or update or this will be closed in 7 days.",
"This PR was closed because it has been inactive for 7 days since being marked as stale."
] | 2024-07-25T16:42:36 | 2024-08-27T01:53:08 | 2024-08-27T01:53:07 | NONE | {
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} | # What does this PR do ?
Numpy 1.x is required, but 2 (latest) will be installed if it is not present. IPython is also required, but not listed as a requirement. Explicit requirements also make it possible to use `pip install nemo_toolkit` without the entire Anaconda distribution installed.
This change is similar to #9805 , which upper-bounded `huggingface_hub`.
Also include a few trivial typos in the tutorial notebooks.
**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"
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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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} | # What does this PR do ?
Adding a "NeMo Fundamentals" page near the top of the developer docs.
**Collection**: Docs
# Changelog
- new file: `docs/source/starthere/fundamentals.rst`
# Usage
N/A
# GitHub Actions CI
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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"
**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?
- [N/A] 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
- [ ] 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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} | # What does this PR do ?
This is a minor update to the NeMo 2.0 progress bar that make the metrics slightly easier to parse. Rather than the progress being logged like this:
```
Epoch 0: : 0%| | 0/80 [00:00<?]
Epoch 0: : 1%|▏ | 1/80 [00:00<00:45]
Epoch 0: : 1%|▏ | 1/80 [00:00<00:45, global_step=0.000, reduced_train_loss=11.00, train_step_timing in s=0.543]
Epoch 0: : 2%|▎ | 2/80 [00:00<00:30, global_step=0.000, reduced_train_loss=11.00, train_step_timing in s=0.543]
Epoch 0: : 2%|▎ | 2/80 [00:00<00:30, global_step=1.000, reduced_train_loss=10.10, train_step_timing in s=0.166]
Epoch 0: : 4%|▍ | 3/80 [00:00<00:24, global_step=1.000, reduced_train_loss=10.10, train_step_timing in s=0.166]
Epoch 0: : 4%|▍ | 3/80 [00:00<00:24, global_step=2.000, reduced_train_loss=9.840, train_step_timing in s=0.167]
```
The progress now look like this:
```
Epoch 0: 1/80, global_step=0.000, reduced_train_loss=11.00, train_step_timing in s=0.510
Epoch 0: 2/80, global_step=0.000, reduced_train_loss=11.00, train_step_timing in s=0.510
Epoch 0: 2/80, global_step=1.000, reduced_train_loss=10.10, train_step_timing in s=0.166
Epoch 0: 3/80, global_step=1.000, reduced_train_loss=10.10, train_step_timing in s=0.166
Epoch 0: 3/80, global_step=2.000, reduced_train_loss=9.840, train_step_timing in s=0.166
```
This is a temporary update while we work on a more permanent solution.
**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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Adds trust_remote_code=True, as jupyer notebooks doesn;t accept argument during authentication
# 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**:
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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.
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Adds trust_remote_code=True, as jupyer notebooks doesn;t accept argument during authentication
# 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**:
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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
- [x] 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 ?
Restore previous strict check to fix neva loading.
This is an alternative to https://github.com/NVIDIA/NeMo/pull/9854 which keeps new functionalities.
The proper fix should be in MCore, but it's too late to implement it for v0.8.
**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
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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} | # What does this PR do ?
Adds documentation page for rampup bs feature.
**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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"Closing for now and a more comprehensive PR will be opened to main soon"
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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
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```python
# Add a code snippet demonstrating how to use this
```
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} | # What does this PR do ?
Preemption callback `nemo/utils/callbacks/preemption.py` terminates a training process with `sys.exit`.
Hence other PTL callbacks/hooks, that are normally executed at the end of a training, are not run.
In particular async checkpointing finalisation `AsyncFinalizerCallback` might be not completed.
This PR replaces manual checkpoint saving and `sys.exit` with `trainer.should_stop=True` for a graceful shutdown.
(same mechanism is implemented in a new preemption callback `nemo/lightning/pytorch/callbacks/preemption.py`)
**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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} | # What does this PR do ?
This PR adds an audio processing model based on Schroedinger bridge.
**Collection**: audio
# Changelog
Main changes
- Added SB-based audio processing model in `audio/models/enhancement.py`
- Added relevant submodules in `audio/parts/submodules/schroedinger_bridge.py`
- Added config in `examples/audio/conf` and updated `process_audio.py`
# Usage
Model can be trained using
```shell
python examples/audio/audio_to_audio_train.py --config-name schroedinger_bridge
```
Model can be evaluated using
```shell
python examples/audio/audio_to_audio_eval.py \
model_path=${PATH_TO_NEMO_FILE} \
dataset_manifest=${PATH_TO_DATASET_MANIFEST} \
output_dir=${PATH_TO_OUTPUT_DIR} \
input_key=noisy_filepath \
target_key=clean_filepath \
metrics=[sdr,estoi]
```
Sampler setting can be easily overridden, e.g., to change the number of sampling steps or the type of the sampling process as
```shell
python examples/audio/audio_to_audio_eval.py ... ++sampler.num_steps=${NUM_STEPS} ++sampler.process={sde or ode}
```
# 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?
- [ ] 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
* Related to # (issue)
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"add @BuyuanCui for vis."
] | 2024-07-25T00:44:18 | 2024-07-26T20:28:40 | 2024-07-26T20:22:22 | COLLABORATOR | {
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} | previously, https://github.com/NVIDIA/NeMo/pull/9538 was merged, but https://github.com/NVIDIA/NeMo/pull/9874 recently reverted it from main due to the blocks of building container. Diving into root causes, realized that it was mostly because of adding cutlet in `requirements/requirements_tts.txt` that blocks the container build. When fixing it, I also found the unit test did not capture the case when `janome` word segmenter is applied (this should be used by default).
Submit this PR again after fixing CICD failed tasks and bugfixes of unit tests.
* adding japanese text preprocessing
* japanese phoneme tokenizer
* japanese tests
* japanese g2p model
* japanese word to ipa dictionary
* add requirements
---------
# 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**:
- [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?
- [ ] 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
* Related to # (issue)
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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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} | # What does this PR do ?
This is a minor update to the NeMo 2.0 progress bar that make the metrics slightly easier to parse. Rather than the progress being logged like this:
```
Epoch 0: : 0%| | 0/80 [00:00<?]
Epoch 0: : 1%|▏ | 1/80 [00:00<00:45]
Epoch 0: : 1%|▏ | 1/80 [00:00<00:45, global_step=0.000, reduced_train_loss=11.00, train_step_timing in s=0.543]
Epoch 0: : 2%|▎ | 2/80 [00:00<00:30, global_step=0.000, reduced_train_loss=11.00, train_step_timing in s=0.543]
Epoch 0: : 2%|▎ | 2/80 [00:00<00:30, global_step=1.000, reduced_train_loss=10.10, train_step_timing in s=0.166]
Epoch 0: : 4%|▍ | 3/80 [00:00<00:24, global_step=1.000, reduced_train_loss=10.10, train_step_timing in s=0.166]
Epoch 0: : 4%|▍ | 3/80 [00:00<00:24, global_step=2.000, reduced_train_loss=9.840, train_step_timing in s=0.167]
```
The progress now look like this:
```
Epoch 0: 1/80, global_step=0.000, reduced_train_loss=11.00, train_step_timing in s=0.510
Epoch 0: 2/80, global_step=0.000, reduced_train_loss=11.00, train_step_timing in s=0.510
Epoch 0: 2/80, global_step=1.000, reduced_train_loss=10.10, train_step_timing in s=0.166
Epoch 0: 3/80, global_step=1.000, reduced_train_loss=10.10, train_step_timing in s=0.166
Epoch 0: 3/80, global_step=2.000, reduced_train_loss=9.840, train_step_timing in s=0.166
```
This is a temporary update while we work on a more permanent solution.
**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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Adds export requirements
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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]
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"> Please update the base branch to `main`.\r\n\r\nDone."
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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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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.
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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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The original pr: https://github.com/NVIDIA/NeMo/pull/9842
Cherry picked the commits.
**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 re-run CI remove and add the label again.
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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?
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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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] | 2024-07-24T19:20:28 | 2024-08-17T00:49:38 | 2024-08-17T00:49:36 | CONTRIBUTOR | {
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} | # What does this PR do ?
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**Collection**: [Note which collection this PR will affect]
# Changelog
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# Usage
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```python
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] | 2024-07-24T18:46:20 | 2024-08-30T01:54:52 | 2024-08-30T01:54:51 | COLLABORATOR | {
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We also provide a better error message for users to know that the fix is to upgrade to CUDA 12.6. | {
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} | # What does this PR do ?
- Automatically adds IO functionality to trainer's callbacks and loggers
- Automatically adds IO functionality to any custom classes when loading context
- Makes `enable_nemo_ckpt_io` compatible with async checkpointing
**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**:
- [ ] 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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} | Because `self._last_global_step_saved` is being set within the finalize fn, it is only updated when a checkpoint is finalized. This causes an erroneous mismatch between `self._last_global_step_saved` and `trainer.global_step`, so [this PTL check](https://github.com/Lightning-AI/pytorch-lightning/blob/abcac663232f5a0fd47442a0c782e81fccbf0174/src/lightning/pytorch/callbacks/model_checkpoint.py#L420) returns `False` when it should return `True`. This causes some checkpoints to get saved twice, once `on_train_batch_end` and once `on_validation_end`. This fixes the problem by updating `self._last_global_step_saved` outside of the finalize function.
# 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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"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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] | 2024-07-24T16:50:11 | 2024-08-16T01:51:22 | 2024-08-16T01:51:22 | CONTRIBUTOR | {
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# Changelog
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Deprecates NeMo NLP tutorial.
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"This issue is stale because it has been open for 30 days with no activity. Remove stale label or comment or this will be closed in 7 days.",
"This issue was closed because it has been inactive for 7 days since being marked as stale.",
"```yaml\nexp_manager:\n train_time_interval: \n _target_: time.timedelta\n seconds: 60\n```\nYou could pass an object throgh config as shown above. As hydra doesn;t support objects natively, current workaround is to use Any in type annotation. Added support for it here: https://github.com/NVIDIA/NeMo/pull/10559 ",
"> exp_manager:\n> train_time_interval: \n> _target_: time.timedelta\n> seconds: 60\n> \n> You could pass an object throgh config as shown above. As hydra doesn;t support objects natively, current workaround is to use Any in type annotation. Added support for it here: [#10559](https://github.com/NVIDIA/NeMo/pull/10559)\n\nHi,\nThanks a lot for the response, I wasn't aware I could do that, thanks!",
"Hi, \nsorry for the very late comment. I tried your solution (see under) today and it doesn't work without changes (or maybe I'm doing something wrong?). \n```yaml\nexp_manager:\n checkpoint_callback_params:\n train_time_interval: \n _target_: datetime.timedelta\n seconds: 60\n```\nThe value of \"train_time_interval\" is a dict because timedelta object is not instantiated. I tried adding \"cfg = instantiate(cfg)\" in exp_manager\" function (after line 407: \"cfg = OmegaConf.merge(schema, cfg)\") and it does work, but I don't know if it impacts/breaks anything else. I can open a PR if there is a real problem.\n"
] | 2024-07-24T15:11:06 | 2024-10-07T13:27:44 | 2024-09-08T01:58:47 | NONE | {
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} | null | null | null | **Describe the bug**
Currently, it is not possible to use the 'train_time_interval' param from Pytorch lightning for checkpointing. When trying to specify it, it throws the following error.
```
File "/home/abert/.local/lib/python3.10/site-packages/pytorch_lightning/callbacks/model_checkpoint.py", line 303, in on_train_batch_end
skip_time = prev_time_check is None or (now - prev_time_check) < train_time_interval.total_seconds()
AttributeError: 'str' object has no attribute 'total_seconds'
```
And that's because Pytorch lighting 'train_time_interval' takes a timedelta object. Since we can't instantiate an object in the yaml and neither can we set it later (it throws an error saying it is not a primitive type (see below)) we can't use this feature.
```
Traceback (most recent call last):
File "/mnt/c/Users/berta/Documents/Linagora/NeMo/examples/asr/speech_to_text_finetune.py", line 192, in main
cfg.exp_manager.checkpoint_callback_params.train_time_interval = timedelta(seconds=30)
omegaconf.errors.UnsupportedValueType: Value 'timedelta' is not a supported primitive type
full_key: exp_manager.checkpoint_callback_params.train_time_interval
object_type=dict
```
I made a quick and dirty fix on my side by making a timedelta object just before sending it to Pytorch lightning.
**Steps/Code to reproduce bug**
Running NeMo/examples/asr/speech_to_text_finetune.py with the following changes made to the yaml config file:
```
exp_manager:
exp_dir: null
name: ${name}
create_tensorboard_logger: true
create_checkpoint_callback: true
checkpoint_callback_params:
# in case of multiple validation sets, first one is used
monitor: "train_loss"
mode: "min"
save_top_k: 5
always_save_nemo: True # saves the checkpoints as nemo files along with PTL checkpoints
train_time_interval: 60
every_n_epochs: null
```
**Expected behavior**
We should be able to use this parameter, by specifying a number of seconds for example.
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} | * Make alignments tests work on any machine
Cherry-pick from #9770
---------
# 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]
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} | # What does this PR do ?
Uses a singleton for `training_loss_reduction` and `validation_loss_reduction` in `GPTModel`.
**Collection**: llm
# Changelog
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"One more request @tonyjie , can you rebase to the latest main & use --signoff to your commits and push again ? Otherwise CI won't play.",
"> One more request @tonyjie , can you rebase to the latest main & use --signoff to your commits and push again ? Otherwise CI won't play.\r\n\r\nI did that but the CI keeps failing. Is there any issue with that? \r\nI also updated the code based on the review. Please have a look and all the reply. Thanks! ",
"This PR is stale because it has been open for 14 days with no activity. Remove stale label or comment or update or this will be closed in 7 days.",
"This PR is stale because it has been open for 14 days with no activity. Remove stale label or comment or update or this will be closed in 7 days.",
"This PR was closed because it has been inactive for 7 days since being marked as stale.",
"This PR seems to have slipped through. Should we merge it? @ericharper @titu1994 "
] | 2024-07-24T05:36:17 | 2024-10-22T14:28:29 | 2024-10-01T02:04:37 | NONE | {
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} | # What does this PR do ?
- Collect CUDA memory snapshot based on the previous commit (#9096 ), and further analyze which parts of the model contribute to the total memory footprint.
- The memory profile will generate two `pickle file`, one for weight, one for activation. The user can load the file in the below page: https://pytorch.org/memory_viz
- If out-of-memory (CUDA OOM) occurs, the tool will capture the snapshot before OOM occurs, and generate the `pickle file`.
- With knobs `analysis_enabled: True`, the memory profile analyzer will generate two csv files each for weight/activation/OOM. The output csv files includes:
1. Weight
- `alive_memory_weight.csv`
- `group_by_alloc_frames_weight.csv`
2. Activation
- `alive_memory_memory.csv`
- `group_by_alloc_frames_memory.csv`
3. OOM
- `alive_memory_oom.csv`
- `group_by_alloc_frames_oom.csv`
# Changelog
- Fix some issues of previous memory profile
- `batch_idx` mismatch issue.
- `max_entries` is too small, which makes the generated snapshot easily truncated.
- Add weight memory capturing.
- Add OOM case support.
- Added the option to enable further analysis to the generated memory snapshot file. The analyzer finds the peak memory of the snapshot, and generate two csv files, including
1. All the alive memory buffers at that peak moment
2. Group them by allocation frames, showing the relationship between model layer and its corresponding memory footprint.
# Usage
- Add the below knobs to the yaml run config.
```python
# Memory Profile
memory_profile:
enabled: true
start_step: 1
end_step: 3
rank: 0
output_path: <path/to/out_file>
analysis_enabled: true
```
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https://api.github.com/repos/NVIDIA/NeMo/issues/9859 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/9859/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/9859/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/9859/events | https://github.com/NVIDIA/NeMo/pull/9859 | 2,426,589,954 | PR_kwDOC_bI7s52Sh1G | 9,859 | Add precision arg in mixtral converter comment | {
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} | # What does this PR do ?
Update mixtral hf to nemo conveter comments via adding `--precision` arg
**Collection**: [NeMo/scripts/checkpoint_convters/convert_mixtral_hf_to_nemo.py]
# Changelog
````
Example to run this conversion script:
python3 convert_mixtral_hf_to_nemo.py \
--input_name_or_path <path_to_mixtral_checkpoints_folder> \
- --output_path <path_to_output_nemo_file>
+ --output_path <path_to_output_nemo_file> \
+ --precision=bf16
````
# Usage
```python
python3 convert_mixtral_hf_to_nemo.py \
--input_name_or_path <path_to_mixtral_checkpoints_folder> \
--output_path <path_to_output_nemo_file> \
--precision=bf16
```
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} | # What does this PR do ?
Fix the deprecation of ModelFilter
**Collection**: [Core]
# Changelog
- Add specific line by line info of high level changes in this PR.
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**PR Type**:
- [x] New Feature
- [ ] Bugfix
- [ ] Documentation
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} | Because `self._last_global_step_saved` is being set within the finalize fn, it is only updated when a checkpoint is finalized. This causes an erroneous mismatch between `self._last_global_step_saved` and `trainer.global_step`, so [this PTL check](https://github.com/Lightning-AI/pytorch-lightning/blob/abcac663232f5a0fd47442a0c782e81fccbf0174/src/lightning/pytorch/callbacks/model_checkpoint.py#L420) returns `False` when it should return `True`. This causes some checkpoints to get saved twice, once `on_train_batch_end` and once `on_validation_end`. This fixes the problem by updating `self._last_global_step_saved` outside of the finalize function.
# 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
```
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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)
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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?
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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
- 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?
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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.
# Additional Information
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