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} | # What does this PR do ?
when we update the model's config using the strategy's values we were not triggering __post_init__
therefore the config could have invalid values
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"This issue was closed because it has been inactive for 7 days since being marked as stale."
] | 2024-10-14T19:13:19 | 2024-11-21T02:01:30 | 2024-11-21T02:01:29 | NONE | {
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} | null | null | null | **Describe the bug**
While converting a trained nemo checkpoint using `NeMo/scripts/checkpoint_converters/convert_llama_nemo_to_hf.py`, I get the following error
```
[rank0]: Traceback (most recent call last):
[rank0]: File "/opt/megatron-lm/megatron/core/dist_checkpointing/strategies/tensorstore.py", line 123, in open_ts_array
[rank0]: arr = ts.open(ts.Spec(spec), open=True).result()
[rank0]: ValueError: Error opening "zarr" driver: Error reading local file "../exp/nemo/exp_inhouse_7b/TP8_PP1/checkpoints/peep/model_weights/model.embedding.word_embeddings.weight/.zarray": Invalid key: "../exp/nemo/exp_inhouse_7b/TP8_PP1/checkpoints/peep/model_weights/model.embedding.word_embeddings.weight/.zarray" [source locations='tensorstore/kvstore/file/file_key_value_store.cc:659\ntensorstore/kvstore/kvstore.cc:268\ntensorstore/driver/driver.cc:114'] [tensorstore_spec='{\"context\":{\"cache_pool\":{},\"data_copy_concurrency\":{},\"file_io_concurrency\":{},\"file_io_sync\":true},\"driver\":\"zarr\",\"kvstore\":{\"driver\":\"file\",\"path\":\"../exp/nemo/exp_inhouse_7b/TP8_PP1/checkpoints/peep/model_weights/model.embedding.word_embeddings.weight/\"}}']
[rank0]: The above exception was the direct cause of the following exception:
[rank0]: Traceback (most recent call last):
[rank0]: File "/workspace/repo/scripts/convert_llama_nemo_to_hf.py", line 222, in <module>
[rank0]: convert(
[rank0]: File "/workspace/repo/scripts/convert_llama_nemo_to_hf.py", line 85, in convert
[rank0]: model = MegatronSparseFTModel.restore_from(
[rank0]: File "/opt/NeMo/nemo/collections/nlp/models/nlp_model.py", line 478, in restore_from
[rank0]: return super().restore_from(
[rank0]: File "/opt/NeMo/nemo/core/classes/modelPT.py", line 468, in restore_from
[rank0]: instance = cls._save_restore_connector.restore_from(
[rank0]: File "/opt/NeMo/nemo/collections/nlp/parts/nlp_overrides.py", line 1339, in restore_from
[rank0]: checkpoint = checkpoint_io.load_checkpoint(
[rank0]: File "/usr/lib/python3.10/contextlib.py", line 79, in inner
[rank0]: return func(*args, **kwds)
[rank0]: File "/opt/NeMo/nemo/utils/callbacks/dist_ckpt_io.py", line 334, in load_checkpoint
[rank0]: return dist_checkpointing.load(
[rank0]: File "/opt/megatron-lm/megatron/core/dist_checkpointing/serialization.py", line 157, in load
[rank0]: loaded_state_dict = sharded_strategy.load(sharded_state_dict, checkpoint_dir)
[rank0]: File "/opt/megatron-lm/megatron/core/dist_checkpointing/strategies/tensorstore.py", line 43, in load
[rank0]: dict_list_map_inplace(load_fn, sharded_state_dict)
[rank0]: File "/opt/megatron-lm/megatron/core/dist_checkpointing/dict_utils.py", line 180, in dict_list_map_inplace
[rank0]: x[k] = dict_list_map_inplace(f, v)
[rank0]: File "/opt/megatron-lm/megatron/core/dist_checkpointing/dict_utils.py", line 180, in dict_list_map_inplace
[rank0]: x[k] = dict_list_map_inplace(f, v)
[rank0]: File "/opt/megatron-lm/megatron/core/dist_checkpointing/dict_utils.py", line 184, in dict_list_map_inplace
[rank0]: return f(x)
[rank0]: File "/opt/megatron-lm/megatron/core/dist_checkpointing/strategies/tensorstore.py", line 80, in _load_from_array
[rank0]: x = _load_regular_chunk(sharded_tensor, checkpoint_dir)
[rank0]: File "/opt/megatron-lm/megatron/core/dist_checkpointing/strategies/tensorstore.py", line 91, in _load_regular_chunk
[rank0]: arr = open_ts_array(checkpoint_dir / sharded_tensor.key)
[rank0]: File "/opt/megatron-lm/megatron/core/dist_checkpointing/strategies/tensorstore.py", line 125, in open_ts_array
[rank0]: raise CheckpointingException(f'Array {arr_path} could not be loaded. Error: {e}') from e
[rank0]: megatron.core.dist_checkpointing.core.CheckpointingException: Array ../exp/nemo/exp_inhouse_7b/TP8_PP1/checkpoints/peep/model_weights/model.embedding.word_embeddings.weight could not be loaded. Error: Error opening "zarr" driver: Error reading local file "../exp/nemo/exp_inhouse_7b/TP8_PP1/checkpoints/peep/model_weights/model.embedding.word_embeddings.weight/.zarray": Invalid key: "../exp/nemo/exp_inhouse_7b/TP8_PP1/checkpoints/peep/model_weights/model.embedding.word_embeddings.weight/.zarray" [source locations='tensorstore/kvstore/file/file_key_value_store.cc:659\ntensorstore/kvstore/kvstore.cc:268\ntensorstore/driver/driver.cc:114'] [tensorstore_spec='{\"context\":{\"cache_pool\":{},\"data_copy_concurrency\":{},\"file_io_concurrency\":{},\"file_io_sync\":true},\"driver\":\"zarr\",\"kvstore\":{\"driver\":\"file\",\"path\":\"../exp/nemo/exp_inhouse_7b/TP8_PP1/checkpoints/peep/model_weights/model.embedding.word_embeddings.weight/\"}}']
```
**Steps/Code to reproduce bug**
1. Train a megatron llama model as usual. Here I used TP size=8, PP size=1 on 4 nodes.
2. Call `python NeMo/scripts/checkpoint_converters/convert_llama_nemo_to_hf.py --input_name_or_path $PATH_TO_SAVED_NEMO --output_path $PATH_TO_CONVERTED_HF.bin`
**Environment details**
Image used: nvcr.io/nvidia/nemo:24.05.llama3.1
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**Collection**: [Note which collection this PR will affect]
# Changelog
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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."
] | 2024-10-14T17:54:25 | 2024-11-21T02:01:31 | 2024-11-21T02:01:30 | CONTRIBUTOR | {
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} | [π€]: Hi @akoumpa π,<br><br>we've cherry picked #10860 into `r2.0.0` for you! π<br><br>Please review and approve this cherry pick by your convenience\! | {
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"[π€]: Hi @janekl π,\n\nWe wanted to let you know that a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11330675893) for this PR just finished successfully\n\nSo it might be time to merge this PR or get some approvals\n\nI'm just a bot so I'll leave it you what to do next.\n\n//cc @pablo-garay @ko3n1g"
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} | # What does this PR do ?
Update the engine build step for quantized ".qnemo" checkpoints for TRT-LLM 0.13.0 update.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
# 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 issue was closed because it has been inactive for 7 days since being marked as stale."
] | 2024-10-14T09:33:02 | 2024-11-21T02:01:32 | 2024-11-21T02:01:32 | NONE | {
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} | null | null | null | **Describe the bug**
when I use context parallel > 2 in long-context training
I have the error of flash attention problems
I use the docker of nemo
**bug**
hidden_states = self.decoder(
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1520, in _call_impl
return forward_call(*args, **kwargs)
File "/opt/megatron-lm/megatron/core/transformer/transformer_block.py", line 383, in forward
hidden_states, context = layer(
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1520, in _call_impl
return forward_call(*args, **kwargs)
File "/opt/megatron-lm/megatron/core/transformer/transformer_layer.py", line 178, in forward
attention_output_with_bias = self.self_attention(
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1520, in _call_impl
return forward_call(*args, **kwargs)
File "/opt/megatron-lm/megatron/core/transformer/attention.py", line 315, in forward
core_attn_out = self.core_attention(
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1520, in _call_impl
return forward_call(*args, **kwargs)
File "/opt/megatron-lm/megatron/core/transformer/custom_layers/transformer_engine.py", line 514, in forward
core_attn_out = super().forward(
File "/usr/local/lib/python3.10/dist-packages/transformer_engine/pytorch/attention.py", line 3599, in forward
qkv_layout, query_layer, key_layer, value_layer = _get_qkv_layout(
File "/usr/local/lib/python3.10/dist-packages/transformer_engine/pytorch/attention.py", line 1887, in _get_qkv_layout
q, k, v = [x.contiguous() for x in [q, k, v]]
File "/usr/local/lib/python3.10/dist-packages/transformer_engine/pytorch/attention.py", line 1887, in <listcomp>
q, k, v = [x.contiguous() for x in [q, k, v]]
RuntimeError: CUDA error: an illegal memory access was encountered
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/root/code/NeMO_megatron/NeMo/examples/nlp/language_modeling/tuning/megatron_gpt_finetuning.py", line 79, in main
trainer.fit(model)
File "/usr/local/lib/python3.10/dist-packages/pytorch_lightning/trainer/trainer.py", line 544, in fit
call._call_and_handle_interrupt(
File "/usr/local/lib/python3.10/dist-packages/pytorch_lightning/trainer/call.py", line 68, in _call_and_handle_interrupt
trainer._teardown()
File "/usr/local/lib/python3.10/dist-packages/pytorch_lightning/trainer/trainer.py", line 1010, in _teardown
self.strategy.teardown()
File "/usr/local/lib/python3.10/dist-packages/pytorch_lightning/strategies/ddp.py", line 419, in teardown
super().teardown()
File "/usr/local/lib/python3.10/dist-packages/pytorch_lightning/strategies/parallel.py", line 133, in teardown
super().teardown()
File "/usr/local/lib/python3.10/dist-packages/pytorch_lightning/strategies/strategy.py", line 537, in teardown
self.lightning_module.cpu()
File "/usr/local/lib/python3.10/dist-packages/lightning_fabric/utilities/device_dtype_mixin.py", line 82, in cpu
return super().cpu()
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 960, in cpu
return self._apply(lambda t: t.cpu())
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 802, in _apply
module._apply(fn)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 802, in _apply
module._apply(fn)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 802, in _apply
module._apply(fn)
[Previous line repeated 1 more time]
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 825, in _apply
param_applied = fn(param)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 960, in <lambda>
return self._apply(lambda t: t.cpu())
RuntimeError: CUDA error: an illegal memory access was encountered
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
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https://api.github.com/repos/NVIDIA/NeMo/issues/10875 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/10875/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/10875/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/10875/events | https://github.com/NVIDIA/NeMo/pull/10875 | 2,584,826,152 | PR_kwDOC_bI7s5-e6Hf | 10,875 | TDT compute timestamps option and Extra Whitespace handling for SPE | {
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"[π€]: Hi @monica-sekoyan π,\n\nWe wanted to let you know that a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11498295768) for this PR just finished successfully\n\nSo it might be time to merge this PR or get some approvals\n\nI'm just a bot so I'll leave it you what to do next.\n\n//cc @pablo-garay @ko3n1g"
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} | # What does this PR do ?
This PR includes option for getting timestamps from TDT Decoder head, including on a segment level. This option is enabled for RNNT and CTC decodings as well. And also introduces workaround for getting tokens and id_s for extra whitespaces (even if the tokenizer was not trained in this way.) This is crucial for getting alignments in the future.
**Collection**: asr, common
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* To get timestamps from TDT decoding head, just change the decoding config of the model in the following way:
```python
import nemo.collections.asr.models as nemo_asr
import omegaconf
tdt_asr_model = nemo_asr.EncDecRNNTBPEModel.from_pretrained(model_name='nvidia/parakeet-tdt_ctc-1.1b')
cfg = model.cfg.decoding
with omegaconf.open_dict(cfg):
cfg['compute_timestamps']=True
tdt_asr_model.change_decoding_strategy(decoding_cfg=cfg)
```
* To control timestamp level manipulate the following field of decoding config:
```python
cfg = model.cfg.decoding
with omegaconf.open_dict(cfg):
cfg['compute_timestamps']=True
cfg['rnnt_timestamp_type'] = 'all' # can be "char", "word", "segment" or "all"
tdt_asr_model.change_decoding_strategy(decoding_cfg=cfg)
```
* To make the SPE tokenizer (already trained) encode the text not ignoring occurring extra whitespaces (which is the default behaviour), modify the tokenizer in the following way:
```python
model.tokenizer.ignore_extra_whitespaces = False
```
* To train the SPE tokenizer to make it ignore extra whitespaces both during training and further encoding, use this flag in the training script:
```shell
python scripts/tokenizers/process_asr_text_tokenizer.py --tokenizer=spe --spe_remove_extra_whitespaces
```
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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**:
- [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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"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.",
"<!-- pylint-output-strict-mode-false -->\n\nbeep boop π€: π 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.api\nnemo/collections/llm/api.py:68:0: C0301: Line too long (135/119) (line-too-long)\nnemo/collections/llm/api.py:224:0: C0301: Line too long (135/119) (line-too-long)\nnemo/collections/llm/api.py:355:0: C0301: Line too long (121/119) (line-too-long)\nnemo/collections/llm/api.py:256:0: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/llm/api.py:316:0: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/llm/api.py:328:0: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/llm/api.py:490:0: C0116: Missing function or method docstring (missing-function-docstring)\n\n-----------------------------------\nYour code has been rated at 9.72/10\n```\n\n---\n\nThank you for improving NeMo's documentation!",
"Please create a README outside these notebooks, with pre-requisites and requirements, instructions to pull the container, and launch the notebook",
"Please remove any (advanced) configurations that are not needed for a successful run with the data, especially if defaults work well. These add cognitive load to the end user, who may - \r\n* don't know or have the patience or time to understand each configuration\r\n* feel they don't know how to configure this even if they understand what it means\r\n\r\nWe should just link to the API reference and config documentation when it's available. \r\n\r\nExample: Do we need to show \"store_optimizer_states\" in a beginner notebook?\r\n\r\n\r\n\r\nThanks!",
"> Please remove any (advanced) configurations that are not needed for a successful run with the data, especially if defaults work well. These add cognitive load to the end user, who may -\r\n> \r\n> * don't know or have the patience or time to understand each configuration\r\n> * feel they don't know how to configure this even if they understand what it means\r\n> \r\n> We should just link to the API reference and config documentation when it's available.\r\n> \r\n> Example: Do we need to show \"store_optimizer_states\" in a beginner notebook?\r\n> \r\n> \r\n> \r\n> Thanks!\r\n\r\nJust changed it to the same simple for as in the trainer. Kept only TP param."
] | 2024-10-14T03:13:51 | 2024-11-19T20:23:46 | 2024-11-19T20:23:46 | COLLABORATOR | {
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} | # What does this PR do ?
NeMo 2.0 SFT PEFT notebook
**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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} | # What does this PR do ?
Adds diagrams explaining DiT training pipeline.
**Collection**: [Note which collection this PR will affect]
# Changelog
- adds diagrams to explain mixed image-video training and pipeline conditioning.
# 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?
- [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
- [ ] Bugfix
- [X] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
Anyone in the community is free to review the PR once the checks have passed.
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
# Additional Information
* Related to # (issue)
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} | # What does this PR do ?
Adds diagrams to DiT training docs to explain mixed image-video training and pipeline conditioning.
**Collection**: diffusion
# Changelog
- added assets folder with diagrams explaining DiT training.
# 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?
- [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
- [ ] Bugfix
- [X] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
Anyone in the community is free to review the PR once the checks have passed.
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
# Additional Information
* Related to # (issue)
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π Please remember the following to-do's before merge:
- [ ] Verify the presubmit CI
π Please merge this PR only if the CI workflow completed successfully. | {
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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 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."
] | 2024-10-13T17:41:07 | 2024-12-23T01:59:45 | 2024-12-23T01:59:45 | COLLABORATOR | {
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} | null | null | null | **Is your feature request related to a problem? Please describe.**
oomptimizer requires directly passing the `tokenizer.model` file. This is inconsistent with tokenizer behavior for other ASR modules (we just pass the directory). Probably better to change just to keep consistent.
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} | * fix param gather overlap
* Apply isort and black reformatting
---------
# 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
# Add a code snippet demonstrating how to use this
```
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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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[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
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# Usage
* You can potentially add a usage example below
```python
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```
# GitHub Actions CI
The Jenkins CI system has been replaced by GitHub Actions self-hosted runners.
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π Please remember the following to-do's before merge:
- [ ] Verify the presubmit CI
π Please merge this PR only if the CI workflow completed successfully. | {
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"<!-- pylint-output-strict-mode-false -->\n\nbeep boop π€: π 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.export.trt_llm.tensorrt_llm_run\nnemo/export/trt_llm/tensorrt_llm_run.py:506:0: C0301: Line too long (125/119) (line-too-long)\nnemo/export/trt_llm/tensorrt_llm_run.py:510:0: C0301: Line too long (136/119) (line-too-long)\nnemo/export/trt_llm/tensorrt_llm_run.py:514:0: C0301: Line too long (123/119) (line-too-long)\nnemo/export/trt_llm/tensorrt_llm_run.py:557:0: C0301: Line too long (181/119) (line-too-long)\nnemo/export/trt_llm/tensorrt_llm_run.py:839:0: C0301: Line too long (153/119) (line-too-long)\nnemo/export/trt_llm/tensorrt_llm_run.py:524:0: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/export/trt_llm/tensorrt_llm_run.py:533:0: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/export/trt_llm/tensorrt_llm_run.py:591:0: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/export/trt_llm/tensorrt_llm_run.py:33:0: W0611: Unused Mapping imported from tensorrt_llm.mapping (unused-import)\n\n-----------------------------------\nYour code has been rated at 9.75/10\n```\n\n---\n\nThank you for improving NeMo's documentation!",
"[π€]: Hi @terrykong π,\n\nWe wanted to let you know that a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11803019171) for this PR just finished successfully\n\nSo it might be time to merge this PR or get some approvals\n\nI'm just a bot so I'll leave it you what to do next.\n\n//cc @pablo-garay @ko3n1g"
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} | * Also clean up some unused imports
# 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 ?
Cherry-picking fixes for recent changes that broke PEFT checkpointing.
Also cherry-picking CI tests here for peace of mind
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
# GitHub Actions CI
The Jenkins CI system has been replaced by GitHub Actions self-hosted runners.
The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR.
To re-run CI remove and add the label again.
To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary tests?
- [ ] Did you add or update any necessary documentation?
- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
- [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [ ] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
Anyone in the community is free to review the PR once the checks have passed.
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
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**Collection**: [Note which collection this PR will affect]
# Changelog
- 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]
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# Usage
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- [ ] Did you write any new necessary tests?
- [ ] Did you add or update any necessary documentation?
- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
- [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [ ] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
Anyone in the community is free to review the PR once the checks have passed.
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
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Follow up PR to #10632. Change CI test experiment dir to /tmp
**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.
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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?
- [ ] Did you add or update any necessary documentation?
- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
- [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [ ] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
Anyone in the community is free to review the PR once the checks have passed.
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
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**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
# GitHub Actions CI
The Jenkins CI system has been replaced by GitHub Actions self-hosted runners.
The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR.
To re-run CI remove and add the label again.
To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".
# Before your PR is "Ready for review"
**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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"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."
] | 2024-10-11T20:09:08 | 2024-11-02T01:57:50 | 2024-11-02T01:57:50 | CONTRIBUTOR | {
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PR adds a script that will test different combinations of TRTLLM parameters using the GenAI-Perf utility, and return a ranking of which combinations perform best.
As part of the support for GenAI-Perf, the TRTLLM deployable has been modified to additionally support Triton-standard names for input and output fields. It should still be compatible with all existing usages with the non-standard field names as well.
**Collection**: [Note which collection this PR will affect]
examples/
nemo/export/
# Changelog
- Add auto_config_triton.py script which generates the combinations to compare, and runs them through GenAI-perf
- Modify TRTLLM pytriton deployable to support Triton-standard input/output field names
# Usage
```
python auto_config_triton.py -nc /workspace/checkpoints/Nemotron-3-8B-Base-4k.nemo -mt gptnext --test_paged_kv_cache
```
This example will run the benchmark on the Nemotron3-8B model twice, once with the paged kv cache enabled, and once with it disabled, then compare the results.
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Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
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# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
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- [ ] 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 ?
Upgrade transformers to 4.45 in preparation for llama 3.2 PR. Test in advance if anything would break with this.
**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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# 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
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 is just an example. If we want this behavior to be used by default (or easy to include in a custom recipe), we should create a NeMo Run plugin for this, correct? @hemildesai ",
"> This is just an example. If we want this behavior to be used by default (or easy to include in a custom recipe), we should create a NeMo Run plugin for this, correct? @hemildesai\r\n\r\nThanks @maanug-nv , I refactored it into a NeMo-Run plugin"
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} | # What does this PR do ?
enable vboost slider to boost performance
**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
```
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Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
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# Usage
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# Add a code snippet demonstrating how to use this
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This should fix the issue with `plot` and `plot_sample_from_rttm` in `nemo/collections/asr/parts/utils/vad_utils.py`
**Collection**: ASR
# Changelog
- Add ipython back to ASR Requirements
# 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**:
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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.
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* FIXES: #10772
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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
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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?
Anyone in the community is free to review the PR once the checks have passed.
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
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# Changelog
- 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
```
# 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"
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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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* Related to # (issue)
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"[π€]: Hi @marcromeyn π,\n\nWe wanted to let you know that a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11289059272) for this PR just finished successfully\n\nSo it might be time to merge this PR or get some approvals\n\nI'm just a bot so I'll leave it you what to do next.\n\n//cc @pablo-garay @ko3n1g",
"Should this go into release branch as well?"
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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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π Please remember the following to-do's before merge:
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"Closing this in favor of https://github.com/NVIDIA/NeMo/pull/10915"
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Fix 2.0 recipe default `num_nodes` and docstrings
**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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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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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 ?
Implements end-to-end diffusion transformer (DiT) pretraining / fine-tuning.
**Collection**: diffusion
# Changelog
- Adds DiT model implementation with cross attention functionality.
- Adds EDM diffusion sampler for higher-order sampling.
- Adds training script to train DiT models on text/image datasets.
# Usage
Readme contains instructions on how to launch training.
# GitHub Actions CI
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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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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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# Before your PR is "Ready for review"
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} | # What does this PR do ?
Modify TDT model code for HAINAN-model training, described in https://arxiv.org/pdf/2410.02597.
**Collection**:
ASR
# Changelog
masking out the decoder output probabilistically for RNNT Joint network computation.
# Usage
Add the following config in the joint network params to train HAINAN model.
```python
python $NEMO_DIR/examples/asr/asr_transducer/speech_to_text_rnnt_bpe.py \
$YOUR_EXISTING_CONFIGS \
++model.joint.masking_prob=0.5
```
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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
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} | # What does this PR do ?
Remove usage of np.sctypes that is not supported anymore with Numpy 2.x. ASR inference from scripts such as transcribe_speech.py was broken because of this. this is a duplicate of #10180 because it was closed
**Collection**: ASR
# Changelog
- Replace usage of `np.sctypes` with `np.issubdtype` for `numpy>=2` compatibility
# Usage
NA
# GitHub Actions CI
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**Pre checks**:
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## Who can review?
@titu1994 , @redoctopus, @jbalam-nv, or @okuchaiev
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} | * move tests/lightning/{,_}io
* add microbatch calculator context manager
* use microbatch calculator context manager
* add on_load_checkpoint test to ValidateModelRestoration; use ctx manager to reconfigure microbatch calculator; update save/restore path; add cleanup step at the end
* remove unused var
* fix
* Apply isort and black reformatting
---------
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# GitHub Actions CI
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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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# Before your PR is "Ready for review"
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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?
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**PR Type**:
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If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
Anyone in the community is free to review the PR once the checks have passed.
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
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Add a one line overview of what this PR aims to accomplish.
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# Changelog
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https://api.github.com/repos/NVIDIA/NeMo/issues/10831 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/10831/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/10831/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/10831/events | https://github.com/NVIDIA/NeMo/issues/10831 | 2,577,434,862 | I_kwDOC_bI7s6ZoIju | 10,831 | [Question] Converting a Megatron-LM ckpt to Nemo | {
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"There is a script for that: [`<NeMo_ROOT_FOLDER>/examples/nlp/language_modeling/megatron_lm_ckpt_to_nemo.py`](https://github.com/NVIDIA/NeMo/blob/b4f308600a8a35eecf33f5cfdecc9f5f648f2863/examples/nlp/language_modeling/megatron_lm_ckpt_to_nemo.py#L4)\n\nLook up this guide: https://docs.nvidia.com/nemo-framework/user-guide/latest/nemotoolkit/checkpoints/convert_mlm.html \n\nAlso this issue I opened might be relevant to you: https://github.com/NVIDIA/NeMo/issues/10480",
"thanks @aimarz . let me try it out on the Megatron-LM ckpts we pre-trained ",
"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."
] | 2024-10-10T03:25:33 | 2024-11-17T02:05:15 | 2024-11-17T02:05:15 | NONE | {
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} | null | null | null | Following the [GPT Pretraining](https://github.com/NVIDIA/Megatron-LM/tree/main?tab=readme-ov-file#gpt-pretraining) section in the `Megatron-LM` repo, we are able to successfully train a model using `Megatron-LM`
I saw pointers on how to convert from HF to `nemo`. For example, this conversion script [ convert_llama_hf_to_nemo.py](https://github.com/NVIDIA/NeMo/blob/stable/scripts/checkpoint_converters/convert_llama_hf_to_nemo.py)
However I did not see any examples of converting a ckpt saved using the `Megatron-LM` to `nemo` format . Are there any examples for this?
p.s. I am thinking of doing this conversion to `nemo`, so I can use tools like `Nemo-Aligner` for post-training
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"Is there one now?",
"I still haven't found it",
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"This issue was closed because it has been inactive for 7 days since being marked as stale."
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} | null | null | null | Recently, I have been conducting applied research on Target Speaker Extraction, but I have encountered many difficulties. I came across your paper titled 'Generative Speech Foundation Model Pretraining for High-Quality Speech Extraction and Restoration.' If you have made the source code open source, I believe it would be of great assistance to me. Therefore, I am eagerly looking forward to it. Thank you! | {
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π Please remember the following to-do's before merge:
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**Collection**:
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
data_module = SimpleMultiModalDataModule(
path=dataset_path,
hf_model_id=hf_model_id,
seq_length=512,
micro_batch_size=8,
global_batch_size=32,
num_workers=4,
pin_memory=True,
task_encoder_class=CustomTaskEncoder
)
```
# 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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- [ ] Did you write any new necessary tests?
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- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
- [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [ ] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
Anyone in the community is free to review the PR once the checks have passed.
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
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"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.",
"+1 to this. I am looking for a conversion script or pointers on how to get started with this"
] | 2024-10-09T20:48:14 | 2024-12-25T06:20:56 | 2024-11-16T02:00:52 | NONE | {
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} | null | null | null | **Is your feature request related to a problem? Please describe.**
Contionual pretraining of Phi-3-mini-128k-instruct using nemo.
Hi, we are looking to run continual pretraining based on Phi-3-mini-128k-instruct in Nemo. Currently, there's no conversion script available under convert_mistral_7b_hf_to_nemo.py. Could you please add the support?
A clear and concise description of what you want to happen.
Phi-3-mini-128k-instruct conversion script from HF to Nemo.
**Describe alternatives you've considered**
I'm implementing a custom script based on https://github.com/NVIDIA/NeMo/blob/main/scripts/checkpoint_converters/convert_llama_hf_to_nemo_save_dict.py with some additional processing on the qkv_proj tensor from Phi3.
Add any other context or screenshots about the feature request here.
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L2 llama pretraining CI test
**Collection**: [Note which collection this PR will affect]
# Changelog
- use pretraining recipe
- apply post-training assertions
# 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**:
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- [ ] Bugfix
- [ ] Documentation
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Fix LoRA merge when base model config specifies TP>1 or PP>1
**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
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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
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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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```python
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* Add lhotse fixes for rnnt model training and WER hanging issue with fuse batching
* Apply isort and black reformatting
``Cherry pick from 10787 to main``
---------
# What does this PR do ?
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```python
# Add a code snippet demonstrating how to use this
```
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# Before your PR is "Ready for review"
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**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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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.
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# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary tests?
- [ ] Did you add or update any necessary documentation?
- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
- [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [ ] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
Anyone in the community is free to review the PR once the checks have passed.
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
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* Related to # (issue)
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} | # What does this PR do ?
It fixes a minor bug mentioned in #10798 where it saves the .nemo 2 times when save_last and always_save_nemo are True. When it saves the best checkpoint and when it saves the last checkpoint.
**Collection**:
# Changelog
- Fix unnecessary checkpointing to .nemo
# 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**:
- [ ] 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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* Related to #10798
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# Usage
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```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"
**Pre checks**:
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- [ ] 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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**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
# GitHub Actions CI
The Jenkins CI system has been replaced by GitHub Actions self-hosted runners.
The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR.
To re-run CI remove and add the label again.
To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary tests?
- [ ] Did you add or update any necessary documentation?
- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
- [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [ ] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
Anyone in the community is free to review the PR once the checks have passed.
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
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**Collection**: [Note which collection this PR will affect]
# Changelog
- Change HF naming to head_size = megatron_config.kv_channels to be more accurate. For most models this does not matter but it did for e.g. Gemma 7b
- Add helpful debugging message in the assert statement
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
# GitHub Actions CI
The Jenkins CI system has been replaced by GitHub Actions self-hosted runners.
The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR.
To re-run CI remove and add the label again.
To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary tests?
- [ ] Did you add or update any necessary documentation?
- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
- [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [ ] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
Anyone in the community is free to review the PR once the checks have passed.
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
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* Related to # (issue)
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Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
# GitHub Actions CI
The Jenkins CI system has been replaced by GitHub Actions self-hosted runners.
The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR.
To re-run CI remove and add the label again.
To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary tests?
- [ ] Did you add or update any necessary documentation?
- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
- [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [ ] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
Anyone in the community is free to review the PR once the checks have passed.
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
# Additional Information
* Related to # (issue)
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} | * Disable checkpoint conversion inside AutoResume
* Apply isort and black reformatting
* Update resume docstrings
* fix
* add default finetuning recipe and refactor llama3 8b recipe
* Apply isort and black reformatting
* address comment
* refactor other recipes
* Apply isort and black reformatting
* remove 8x3b finetuning recipe for now because HF version not available
* add copyright header
* adjust unit tests based on recipe fixes
* fix failed unit test
---------
# What does this PR do ?
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"This PR is stale because it has been open for 14 days with no activity. Remove stale label or comment or update or this will be closed in 7 days.",
"This PR is stale because it has been open for 14 days with no activity. Remove stale label or comment or update or this will be closed in 7 days.",
"<!-- pylint-output-strict-mode-true -->\n\nbeep boop π€: π¨ The following files must be fixed before merge!\n\n---\n\nYour code was analyzed with PyLint. The following annotations have been identified:\n\n```\n************* Module nemo.collections.speechlm.data.audio_to_text_module\nnemo/collections/speechlm/data/audio_to_text_module.py:66:4: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/speechlm/data/audio_to_text_module.py:70:4: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/speechlm/data/audio_to_text_module.py:74:4: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/speechlm/data/audio_to_text_module.py:78:4: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/speechlm/data/audio_to_text_module.py:130:4: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/speechlm/data/audio_to_text_module.py:33:0: W0611: Unused PromptFormatterTextProcessing imported from nemo.collections.multimodal.speech_llm.parts.utils.data_utils (unused-import)\n************* Module audio_text_dataset\nnemo/collections/speechlm/data/dataset/audio_text_dataset.py:500:0: C0301: Line too long (120/119) (line-too-long)\nnemo/collections/speechlm/data/dataset/audio_text_dataset.py:983:0: C0301: Line too long (126/119) (line-too-long)\nnemo/collections/speechlm/data/dataset/audio_text_dataset.py:445:0: C0115: Missing class docstring (missing-class-docstring)\nnemo/collections/speechlm/data/dataset/audio_text_dataset.py:461:0: C0115: Missing class docstring (missing-class-docstring)\n************* Module nemo.collections.speechlm.data.text_processing\nnemo/collections/speechlm/data/text_processing.py:27:0: C0115: Missing class docstring (missing-class-docstring)\nnemo/collections/speechlm/data/text_processing.py:55:4: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/speechlm/data/text_processing.py:89:4: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/speechlm/data/text_processing.py:93:4: C0116: Missing function or method docstring (missing-function-docstring)\n************* Module nemo.collections.speechlm.recipes.pipeline\nnemo/collections/speechlm/recipes/pipeline.py:68:0: C0301: Line too long (195/119) (line-too-long)\nnemo/collections/speechlm/recipes/pipeline.py:35:0: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/speechlm/recipes/pipeline.py:107:0: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/speechlm/recipes/pipeline.py:167:0: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/speechlm/recipes/pipeline.py:16:0: W0611: Unused lightning.pytorch imported as pl (unused-import)\nnemo/collections/speechlm/recipes/pipeline.py:17:0: W0611: Unused nemo_run imported as run (unused-import)\nnemo/collections/speechlm/recipes/pipeline.py:23:0: W0611: Unused train imported from nemo.collections.speechlm.api (unused-import)\nnemo/collections/speechlm/recipes/pipeline.py:23:0: W0611: Unused validate imported from nemo.collections.speechlm.api (unused-import)\n\n-----------------------------------\nYour code has been rated at 9.68/10\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!"
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Migrate SpeechLM to NeMo 2.0
**Collection**: [asr,llm,slm,motimodal]
# Changelog
- Add models, datamodules, training scripts
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} | * create mixed precision plugin recipes
* cleanup
* fix annotation
* full definition instead of attach
* update docstrings
* update fp8
* Apply isort and black reformatting
* refactor import
---------
# What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
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# Usage
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```python
# Add a code snippet demonstrating how to use this
```
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- [ ] Did you write any new necessary tests?
- [ ] Did you add or update any necessary documentation?
- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
- [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
**PR Type**:
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- [ ] Bugfix
- [ ] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
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} | * use ckpt_to_weights_subdir in restore
* make ckpt_to_{weight,context}_subdir idempotent
* Apply isort and black reformatting
---------
# 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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# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
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- [ ] Bugfix
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"This issue was closed because it has been inactive for 7 days since being marked as stale."
] | 2024-10-08T17:23:55 | 2024-11-15T02:02:36 | 2024-11-15T02:02:35 | NONE | {
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} | null | null | null | Dear all,
I'm encountering an issue with the vision encoder when using pipeline parallelism.
The vision encoder appears to be instantiated on all GPUs rather than allocated to GPU 0, which is the first stage of the pipeline.
I tracked the vision encode in `NeMo/nemo/collections/multimodal/models/multimodal_llm/neva/neva_model.py` like this.
```
def create_vision_encoder_and_processor(self, mm_cfg):
# Initialize vision encoder and freeze it
if mm_cfg.vision_encoder.get("from_hf", False):
from transformers import AutoConfig
config = AutoConfig.from_pretrained(mm_cfg.vision_encoder.from_pretrained)
if config.architectures[0] == "CLIPVisionModel" or config.architectures[0] == "CLIPModel":
vision_encoder = CLIPVisionModel.from_pretrained(
mm_cfg.vision_encoder.from_pretrained,
torch_dtype=torch.bfloat16,
).cuda()
vision_encoder = vision_encoder.to(torch.bfloat16)
print(f"vision_encoder is on device: {next(vision_encoder.parameters()).device}")
```
The log shows that the vision encoder is on every device.
Since I used pipeline parallelism, I think the vision encoder must reside in the first stage of the pipeline.
If I misunderstood or my tracking is wrong, let me know.
Thank you.
### Experimental Setup
I used the `nvcr.io/nvidia/nemo:24.07` docker image on testing.
This is the following script to run with NeMo.
```
! torchrun --nproc_per_node=4 \
/opt/NeMo/examples/multimodal/multimodal_llm/neva/neva_pretrain.py \
trainer.precision=bf16 \
trainer.num_nodes=1 \
trainer.devices=4 \
trainer.val_check_interval=50 \
trainer.limit_val_batches=5 \
trainer.log_every_n_steps=1 \
trainer.max_steps=1 \
model.megatron_amp_O2=True \
model.micro_batch_size=1 \
model.global_batch_size=16 \
model.tensor_model_parallel_size=1 \
model.pipeline_model_parallel_size=4 \
model.mcore_gpt=True \
model.transformer_engine=True \
model.data.data_path=/data/neva/datasets/LLaVA-Pretrain-LCS-558k/blip_laion_cc_sbu_558k.json \
model.data.image_folder=/data/neva/datasets/LLaVA-Pretrain-LCS-558k/images \
model.tokenizer.library=sentencepiece \
model.tokenizer.model=/data/neva/tokenizers/tokenizer_neva.model \
model.encoder_seq_length=4096 \
model.num_layers=32 \
model.hidden_size=4096 \
model.ffn_hidden_size=11008 \
model.num_attention_heads=32 \
model.normalization=rmsnorm \
model.do_layer_norm_weight_decay=False \
model.apply_query_key_layer_scaling=True \
model.bias=False \
model.activation=fast-swiglu \
model.headscale=False \
model.position_embedding_type=rope \
model.rotary_percentage=1.0 \
model.num_query_groups=null \
model.data.num_workers=0 \
model.mm_cfg.llm.from_pretrained=/data/neva/checkpoints/checkpoints/llama-2-7b-chat.nemo \
model.mm_cfg.llm.model_type=v1 \
model.data.conv_template=v1 \
model.mm_cfg.vision_encoder.from_pretrained='openai/clip-vit-large-patch14' \
model.mm_cfg.vision_encoder.from_hf=True \
model.optim.name="fused_adam" \
exp_manager.create_checkpoint_callback=True \
exp_manager.checkpoint_callback_params.save_nemo_on_train_end=False \
exp_manager.create_wandb_logger=False
``` | {
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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.",
"Dear Dr Huang, how to finetune the NEST model with CTC loss function using nemo toolkit?"
] | 2024-10-08T17:12:45 | 2024-11-05T12:39:59 | 2024-10-24T18:49:58 | COLLABORATOR | {
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} | # What does this PR do ?
**place holder, will update later**
Add docs for NEST SSL
**Collection**: [asr]
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] | 2024-10-08T17:10:50 | 2024-10-30T01:59:19 | 2024-10-30T01:59:18 | COLLABORATOR | {
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} | # What does this PR do ?
This change is to remove the need for NeMo-Aligner to maintain a copy of
this function and instead rely on an impl in NeMo.
https://github.com/NVIDIA/NeMo-Aligner/blob/c92a3bf9c2d6312581982a8d1db30591855394c5/nemo_aligner/utils/train_utils.py#L30-L44
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
# GitHub Actions CI
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The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR.
To re-run CI remove and add the label again.
To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary tests?
- [ ] Did you add or update any necessary documentation?
- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
- [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [ ] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
Anyone in the community is free to review the PR once the checks have passed.
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
# Additional Information
* Related to # (issue)
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"Closed in favor of #10891 "
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Adds nemo 2.0 ckpt support to export.
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} | [π€]: Hi @JRD971000 π,<br><br>we've cherry picked #10800 into `r2.0.0` for you! π<br><br>Please review and approve this cherry pick by your convenience\! | {
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} | # What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
# GitHub Actions CI
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# Before your PR is "Ready for review"
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**PR Type**:
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If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
Anyone in the community is free to review the PR once the checks have passed.
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
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} | β¦th online RIR augmentation
# What does this PR do ?
Aim of this PR is to push a tutorial of training speech enhancement models with online augmentation to NeMo.
**Collection**: audio
# Changelog
- New notebook file with the tutorial added to tutorials/audio/speech_enhancement
- New configuration file for the training "masking" model with online augmentation added to the examples/audio/conf/
- Problem with the RIR online augmentation is fixed in nemo/collections/audio/data/audio_to_audio_lhotse.py
# Usage
All instructions are in the notebook examples/audio/conf/masking_with_online_augmentation.yaml
# 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?
Anyone in the community is free to review the PR once the checks have passed.
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
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"I remember having exactly the same problem while training a CTC model.",
"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."
] | 2024-10-08T12:55:57 | 2024-12-05T02:05:42 | 2024-12-05T02:05:41 | NONE | {
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} | null | null | null | **Describe the bug**
When training ASR models, it calls "on_save_checkpoint" 2 times in a row. It is unnecessary and can take some time. It is visible when you use "always_save_nemo": True and "save_last": True because you will see the logs below:
```log
[NeMo I 2024-10-08 14:35:07 nemo_model_checkpoint:247] New .nemo model saved to:nemo_experiments/TEST/checkpoints/TEST.nemo
[NeMo I 2024-10-08 14:35:18 nemo_model_checkpoint:321] nemo_experiments/TEST/checkpoints/TEST.nemo already exists, moving existing checkpoint to nemo_experiments/TEST/checkpoints/TEST-v1.nemo
[NeMo I 2024-10-08 14:35:37 nemo_model_checkpoint:247] New .nemo model saved to: nemo_experiments/TEST/checkpoints/TEST.nemo
[NeMo I 2024-10-08 14:35:37 nemo_model_checkpoint:249] Removing old .nemo backup nemo_experiments/TEST/checkpoints/TEST-v1.nemo
```
**Steps/Code to reproduce bug**
I think you can use [this](https://github.com/NVIDIA/NeMo/blob/ff97c70fc9d7a0050c947b9008372bcf2e6f3b48/examples/asr/asr_ctc/speech_to_text_ctc.py) to try since it is what I'm based on.
I use the following options in the exp_manager:
```yaml
exp_manager:
exp_dir: null
name: ${name}
create_tensorboard_logger: true
create_checkpoint_callback: true
create_early_stopping_callback: False
early_stopping_callback_params:
check_finite: False
patience: 5
mode: "min"
monitor: "val_loss"
checkpoint_callback_params:
every_n_epochs: null
every_n_train_steps: 8
monitor: train_loss
save_top_k: -1
always_save_nemo: true
save_last: true
resume_if_exists: true
resume_ignore_no_checkpoint: true
```
**Expected behavior**
It should not save the .nemo 2 times in a row. Or it should name with "-last.nemo" too.
**Environment details**
I locally installed NeMo with pip and I have a Nvidia GPU
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"This issue was closed because it has been inactive for 7 days since being marked as stale."
] | 2024-10-08T10:09:48 | 2024-11-17T02:05:17 | 2024-11-17T02:05:16 | NONE | {
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} | null | null | null | **Describe the bug**
I don't know if it is a real issue but I have the following warning while resuming a training where the checkpoint is not saved at the end of the epoch. I don't know what it means by "unreliable results" since the training seems to start at the batch it was when the checkpoint was made.
```
[NeMo W 2024-10-08 11:49:10 nemo_logging:349] /home/.../.local/lib/python3.10/site-packages/pytorch_lightning/loops/training_epoch_loop.py:161:
You're resuming from a checkpoint that ended before the epoch ended and your dataloader is not resumable. This can cause unreliable results if further training is done. Consider using an end-of-epoch checkpoint or make your dataloader resumable by implementing the `state_dict` / `load_state_dict` interface.
```
**Steps/Code to reproduce bug**
I think you can use [this](https://github.com/NVIDIA/NeMo/blob/ff97c70fc9d7a0050c947b9008372bcf2e6f3b48/examples/asr/asr_ctc/speech_to_text_ctc.py) to try since it is what I'm based on.
I used a tarred dataset (it does it with a non tarred dataset too) with the following options in the exp_manager:
```yaml
exp_manager:
exp_dir: null
name: ${name}
create_tensorboard_logger: true
create_checkpoint_callback: true
create_early_stopping_callback: False
early_stopping_callback_params:
check_finite: False
patience: 5
mode: "min"
monitor: "val_loss"
checkpoint_callback_params:
every_n_epochs: null
every_n_train_steps: 8
monitor: train_loss
save_top_k: -1
always_save_nemo: false
save_last: true
filename: testing_filename-{epoch:02d}-{step:06d}-{train_loss:.4f}
resume_if_exists: true
resume_ignore_no_checkpoint: true
```
**Expected behavior**
Should not throw a warning
**Environment details**
I locally installed NeMo with pip and I have a Nvidia GPU
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} | # What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
# GitHub Actions CI
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# Before your PR is "Ready for review"
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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.
# Additional Information
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} | # What does this PR do ?
This PR includes option for getting timestamps from TDT Decoder head, including on a segment level. This option is enabled for RNNT and CTC decodings as well. And also introduces workaround for getting tokens and id_s for extra whitespaces (even if the tokenizer was not trained in this way.) This is crucial for getting alignments in the future.
**Collection**: asr, common
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* To get timestamps from TDT decoding head, just change the decoding config of the model in the following way:
```python
import nemo.collections.asr.models as nemo_asr
import omegaconf
tdt_asr_model = nemo_asr.EncDecRNNTBPEModel.from_pretrained(model_name='nvidia/parakeet-tdt_ctc-1.1b')
cfg = model.cfg.decoding
with omegaconf.open_dict(cfg):
cfg['compute_timestamps']=True
tdt_asr_model.change_decoding_strategy(decoding_cfg=cfg)
```
* To control timestamp level manipulate the following field of decoding config:
```python
cfg = model.cfg.decoding
with omegaconf.open_dict(cfg):
cfg['compute_timestamps']=True
cfg['rnnt_timestamp_type'] = 'all' # can be "char", "word", "segment" or "all"
tdt_asr_model.change_decoding_strategy(decoding_cfg=cfg)
```
* To make the SPE tokenizer (already trained) encode the text not ignoring occurring extra whitespaces (which is the default behaviour), modify the tokenizer in the following way:
```python
model.tokenizer.ignore_extra_whitespaces = False
```
* To train the SPE tokenizer to make it ignore extra whitespaces both during training and further encoding, use this flag in the training script:
```shell
python scripts/tokenizers/process_asr_text_tokenizer.py --tokenizer=spe --spe_remove_extra_whitespaces
```
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- [x] New Feature
- [ ] Bugfix
- [ ] Documentation
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"[π€]: Hi @artbataev π,\n\nWe wanted to let you know that a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11371567918) for this PR just finished successfully\n\nSo it might be time to merge this PR or get some approvals\n\nI'm just a bot so I'll leave it you what to do next.\n\n//cc @pablo-garay @ko3n1g",
"> QQ: Why did you remove L2_Transducer_alignment_Running_pytest completely?\r\n\r\n@ko3n1g Initially, this stage was separated because it was tied to the Jenkins machine.\r\nI fixed this in the previous PR https://github.com/NVIDIA/NeMo/pull/9862, and now it is just a unit test. This saves computing time since checkpoints used in different tests are cached. \r\n\r\nThe tests passed now. You can see in the log https://github.com/NVIDIA/NeMo/actions/runs/11371567918/job/31634824387?pr=10794\r\n\r\n```\r\ntests/collections/asr/decoding/test_rnnt_alignments.py::test_rnnt_alignments[True-True-cuda] PASSED [ 28%]\r\ntests/collections/asr/decoding/test_rnnt_alignments.py::test_rnnt_alignments[True-False-cuda] SKIPPED [ 28%]\r\ntests/collections/asr/decoding/test_rnnt_alignments.py::test_rnnt_alignments[False-True-cuda] PASSED [ 28%]\r\ntests/collections/asr/decoding/test_rnnt_alignments.py::test_rnnt_alignments[False-False-cuda] PASSED [ 28%]\r\n```\r\n"
] | 2024-10-08T07:15:33 | 2024-10-17T17:22:42 | 2024-10-17T17:22:41 | COLLABORATOR | {
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} | # What does this PR do ?
Fix ASR tests after upgrading to `nvidia/pytorch:24.07` container:
- merge RNN-T alignment tests with unit tests
- avoid files in RNN-T alignment tests that cause issues with the precision, which leads to different results for batched/non-batched decoding
- support non-CUDA inputs for CUDA graph decoder with frame-looping algorithm (fallback to default algorithm in this case)
- temporary fix for failing tests with broken `torch.load` (should be debugged and fixed in the follow-up PR)
**Collection**: [ASR]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
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**Pre checks**:
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- [x] Bugfix
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If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
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"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."
] | 2024-10-08T05:25:01 | 2024-11-14T01:58:25 | 2024-11-14T01:58:24 | COLLABORATOR | {
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} | # What does this PR do ?
Note: To be opened once [PR 10621](https://github.com/NVIDIA/NeMo/pull/10621) is merged and then rebase with latest main. Currently its bases out of athitten/evaluation branch.
**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**:
- [ ] 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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} | # What does this PR do ?
Two tiny fixes for crashes that can occur with with (1) VP + LoRA and (2) exp_manager.create_tensorboard_logger=false.
**Collection**: nlp
# Changelog
- With virtual pipeline parallel + lora it is currently possible to encounter:
```
File "/opt/NeMo/nemo/collections/nlp/parts/mixins/nlp_adapter_mixins.py", line 477, in on_load_checkpoint
checkpoint_state_dict = checkpoint['state_dict'][f'model_{index}']
KeyError: 'model_0'
```
Sometimes the state_dict is already in the correct format here, so the model_{} keys don't exist. I've altered this statement to check if that key is present or not first.
- With exp_manager.create_tensorboard_logger=false, adding tflops/sec as a metric raises an exception:
```
File "/opt/NeMo/nemo/collections/common/metrics/perf_metrics.py", line 87, in on_train_end
pl_module.logger.experiment.add_scalar("tflops_per_sec_per_gpu", tflops_per_sec_per_gpu)
AttributeError: 'NoneType' object has no attribute 'experiment'
```
I've added a condition to check if the logger exists before adding.
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
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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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π Please remember the following to-do's before merge:
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"> @hemildesai @cuichenx @BoxiangW FYI, this PR will make training with comm overlaps enabled the default (and any other performance features in the future) for the CLI, finetuning recipes, and long context recipes. If you think this might be a concern, I can just change to the '_basic' recipe now.\r\n\r\nThanks for the heads up. Finetuning recipes will be decoupled from pretraining recipes in #10645, so it should be fine",
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**Collection**: [Note which collection this PR will affect]
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# Usage
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```python
# Add a code snippet demonstrating how to use this
```
# GitHub Actions CI
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.
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# Before your PR is "Ready for review"
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- [ ] Did you write any new necessary tests?
- [ ] Did you add or update any necessary documentation?
- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
- [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [ ] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
Anyone in the community is free to review the PR once the checks have passed.
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.
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* Related to # (issue)
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# What does this PR do ?
Fixes 3 bugs:
1. lhotse data loading bug fixes for RNNT/hybrid RNNT models
2. temporarily fix the WER hanging fix during fused_batch WER computation during training
3. lhotse cuts fix for audio_to_text dataset
**Collection**: ASR
# 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
- [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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"[π€]: Hi @akoumpa π,\n\nWe wanted to let you know that a [CICD pipeline](https://github.com/$REPOSITORY/actions/runs/$RUN_ID) for this PR just finished successfully\n\nSo it might be time to merge this PR or get some approvals\n\nI'm just a bot so I'll leave it you what to do next.\n\n//cc @pablo-garay @ko3n1g"
] | 2024-10-07T18:48:35 | 2024-10-08T17:35:53 | 2024-10-08T17:35:12 | MEMBER | {
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} | # What does this PR do ?
Addresses change in structure due to https://github.com/NVIDIA/NeMo/pull/10647
**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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"[π€]: Hi @arendu π,\n\nWe wanted to let you know that a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11279351983) for this PR just finished successfully\n\nSo it might be time to merge this PR or get some approvals\n\nI'm just a bot so I'll leave it you what to do next.\n\n//cc @pablo-garay @ko3n1g",
"[π€]: Hi @arendu π,\n\nWe wanted to let you know that a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11355870596) for this PR just finished successfully\n\nSo it might be time to merge this PR or get some approvals\n\nI'm just a bot so I'll leave it you what to do next.\n\n//cc @pablo-garay @ko3n1g",
"[π€]: Hi @arendu π,\n\nWe wanted to let you know that a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11370819235) for this PR just finished successfully\n\nSo it might be time to merge this PR or get some approvals\n\nI'm just a bot so I'll leave it you what to do next.\n\n//cc @pablo-garay @ko3n1g"
] | 2024-10-07T18:21:41 | 2024-10-19T21:34:01 | 2024-10-19T21:33:59 | COLLABORATOR | {
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} | # What does this PR do ?
Adds open ai compatible endpoints in for server based generation in NeMo.
**Collection**: [NLP]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
To start the server, use the typical `megatron_gpt_eval.py` script and set `server=True`. For the client side snippets below you should also set the port to `port=6666`.
The client can then ping this server using oai completion and oai chat_completion requests.
Here is an example completion request:
```python
from openai import OpenAI
client = OpenAI(base_url="http://127.0.0.1:6666/v1", api_key="dummy_key")
response = client.completions.create(
model="gpt-3.5-turbo-instruct", # for localhosted Nemo models any string can be used for model name.
prompt="Write a tagline for an ice cream shop.",
temperature=0.1,
max_tokens=10,
top_p=0.9,
) # type: ignore
```
Here is an example chat completion request (Note: to use this the `.nemo` model should be a chat-based model, i.e. trained on a chat-template):
```python
from openai import OpenAI
client = OpenAI(base_url="http://127.0.0.1:6666/v1", api_key="dummy_key")
response = client.chat.completions.create(
model="meta/llama-3.2-3b-instruct",
messages=[{"role": "system", "content": ""},
{"role": "user","content":"Write a limerick about the wonders of GPU computing."},
{"role": "assistant", "content": "There once was a chip full of might, \
That made data dance day and night. \
With GPUs so grand, \
Tasks were done on demand, \
Turning code into speed and delight!"},
{"role": "user", "content": "Can you change it to use the word NVIDIA?"}],
temperature=0.2,
top_p=0.7,
max_tokens=1024,
stream=False
)
```
# GitHub Actions CI
The Jenkins CI system has been replaced by GitHub Actions self-hosted runners.
The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR.
To re-run CI remove and add the label again.
To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary tests?
- [ ] Did you add or update any necessary documentation?
- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
- [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
**PR Type**:
- [x] New Feature
- [ ] Bugfix
- [ ] 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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https://api.github.com/repos/NVIDIA/NeMo/issues/10784 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/10784/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/10784/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/10784/events | https://github.com/NVIDIA/NeMo/pull/10784 | 2,571,098,124 | PR_kwDOC_bI7s592ZIX | 10,784 | long context performance numbers in doc | {
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"@erhoo82 May I ask for a review?",
"@youngeunkwon0405 could you pull the latest main into your fork?"
] | 2024-10-07T17:56:11 | 2024-10-18T10:07:21 | 2024-10-18T10:07:21 | CONTRIBUTOR | {
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} | # What does this PR do ?
Update the documentation of the NeMo performance on long input sequences.
# 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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