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**Making it a option to use thunder to jit-compile the dropout in LoRA adapters; thunder can reduce the memory footprint of this layer by recomputing the dropout mask in backprop.**
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Adds Auto Configurator to NeMo github (based on NeMo 2,0)
**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.
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} | null | null | null | **Is your feature request related to a problem? Please describe.**
When fine-tuning for a mamba2 hybrid model we can convert it to a .nemo format but we cannot convert back to HF/Pytorch.
**Describe the solution you'd like**
Converting script for a nemo mamba2 Hybrid model to HF / Pytorch format.
**Describe alterna... | {
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} | # What does this PR do ?
Configuring PTQ to use the same precision to load a model as `export.dtype` by default. This is to avoid possible OOM errors when casting weights on the model export step.
This is for use cases with less device memory available, for example, PTQ for Llama3-8b on L4 24GB GPU.
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📝 Please remember the following to-do's before merge:
- [ ] Verify the presubmit CI
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"According to this [HF implementation](https://github.com/huggingface/transformers/blob/v4.44.2/src/transformers/models/opt/modeling_opt.py):\n* `project_out` should be the final output layer, so it should be mapped to `model.o... | 2024-08-26T23:37:29 | 2024-11-15T02:02:42 | 2024-11-15T02:02:41 | NONE | {
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I am trying to convert the [OPT-350m](https://huggingface.co/facebook/opt-350m) hugging face model to Nemo format. How can I map the following keys?
```
- model.decoder.project_out.weight
- model.decoder.project_in.weight
```
for other weight names, I can successfully map to Nemo format.
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"> There are some unwanted changed in `cicd-main.yml`. Can you please revert these?\r\n\r\nDone.",
"Does the commit support the encoder and decoder are put into different devices? Could the encoder and decoder be model parallelized with their own parallism config?"
] | 2024-08-26T23:24:17 | 2024-10-08T03:00:52 | 2024-09-26T15:17:41 | COLLABORATOR | {
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} | # What does this PR do ?
Adding support for T5 in NeMo 2.0. Main files working on:
+ T5 specific:
- megatron_t5_pretraining.py
- pre_training.py (using T5Dataset from mcore)
- t5.py
+ Others:
- auto_tokenizer.py: adding inv_vocab() to tokenizer to be compatible with mcore's T5Dataset
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} | # What does this PR do ?
Add Nemoron4 15b and 22b model 8k configs and Long Context Recipes for 16k and 64k along with it.
**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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"How do we enable the collection callback?",
"> How do we enable the collection callback?\r\n\r\nRefer to the usage in the PR description."
] | 2024-08-26T21:20:12 | 2024-08-28T18:34:29 | 2024-08-28T18:34:28 | COLLABORATOR | {
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} | # What does this PR do ?
Adding a Garbage-collection callback for a synchronized garbage-collection across ALL processes
**Collection**: [Note which collection this PR will affect]
Potentially affects all of them.
# Changelog
- Garbage Collection callback for NeMo 2.0
# Usage
```
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} | # What does this PR do ?
This fixes a bug with nemo_logger that arises when the trainer's `logger.save_dir` is absolute, which happens by default. The fix is to convert the absolute path to a relative one before overwriting the logger directory.
**Collection**: LLM
# Changelog
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"Looks good. \r\n\r\n> This can cause hands, but for now let's try it.\r\n\r\n@titu1994 can you elaborate? do you expect an uneven number of validation batches per node (why), or something else?",
"Yes, the reason to avoid sync is two fold - I think I remember random hangs years ago due to a similar flag, dunno i... | 2024-08-26T16:04:48 | 2024-10-22T17:01:14 | 2024-09-18T01:55:43 | COLLABORATOR | {
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} | # What does this PR do ?
setting sync_dist=True for `on_validation_epoch_end` in `ModelPT.py`
This is in response to the recent slack discussion on "wiping out of checkpoints mid training and starting from scratch" in Canary training.
**Collection**: [all] - The change is in ModelPT.py
# Changelog
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This PR moves the imports for nemotron of transformers & tokenizer inline. This is needed for pip-installs where we don't want to throw an import error when someone doesn't have transformers installed.
# GitHub Actions CI
The Jenkins CI system has been replaced by GitHub Actions self-... | {
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"Hey, sorry for the slow response. If I understand your question, you can have 1 AR model predict all 8 codebooks at the same time (eg. input the final output of your network into 8 independent softmax functions). You do not need 8 separate AR models.",
"> Hey, sorry for the slow response. If I understand your qu... | 2024-08-26T07:59:58 | 2024-09-24T02:30:26 | 2024-09-24T02:30:25 | NONE | {
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} | # What does this PR do ?
torchrun fix was broken; when making the model-import trainer, it was using the env-vars.
Reverting this as it's breaking other things.
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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.",
"Thanks for the request. We don't offer exact functionality now. However you could use [this script ](https://github.com/NVIDIA/NeMo/blob/main/scripts/asr_context_biasing/e... | 2024-08-24T12:57:05 | 2024-09-24T17:16:30 | 2024-09-24T17:16:30 | NONE | {
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is there a way for the canary and parakeet models (https://huggingface.co/nvidia/canary-1b) to steer transcription like whisper in order to have correct name spellings for example or adapt a certain style?
goal is to have better, more accurate sub... | {
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"@stevehuang52 pls have a look at this. ",
"Thanks for pointing out the issue, it will be fixed in https://github.com/NVIDIA/NeMo/pull/10581",
"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 be... | 2024-08-24T12:13:07 | 2024-10-31T02:00:06 | 2024-10-31T02:00:06 | NONE | {
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canary model chunked infer with `speech_to_text_aed_chunked_infer.py` throws this error:
`TypeError: 'TranscriptionConfig' object is not iterable`
**Steps/Code to reproduce bug**
run this `main` function: https://github.com/NVIDIA/NeMo/blob/7cc99e95fa753f46dffffc47a19e3c1fa375159c/example... | {
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Add SALM export
**Collection**: [NA] (nemo multimodal export)
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
Run export:
Please refer to `https://github.com/Slyne/NeMo/blob/salm_trtllm_llm/examples/multimodal/speech_llm/export/README.md... | {
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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
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📝 Please remember the following to-do's before merge:
- [ ] Verify the presubmit CI
🙏 Please merge this PR only if the CI workflow completed successfully. | {
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} | # What does this PR do ?
For flash and fused attention kernels, the attention mask is implicitly generated by the kernel, so no need to generate the mask from the dataloader. This saves memory, especially for causal masks of long sequence lengths.
Flash attention and fused attention are well supported and should co... | {
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} | # What does this PR do ?
- saves weights and artifacts to separate directories
- provides the option to skip saving optimizer states on train end
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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} | # What does this PR do ?
transformers support Nemotron start 4.44.0
**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
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Adds two helpful items for working with ABCs that eventually get IOMixin:
1. A parent `NeedsIOMixin` ABC that lets you inform a parent class that it will eventually be an IOMixin, and also catches cases where you use it before subclassing and inheriting from iomixin. This has been useful fo... | {
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📝 Please remember the following to-do's before merge:
- [ ] Verify the presubmit CI
🙏 Please merge this PR only if the CI workflow completed successfully. | {
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The interface for megatron core distributed optimizer
# Changelog
- Support native fp8; fp8-param optimizer
- Support the overlap of param allgather with optimizer.step
- Support the alignment of param AllGather and grad ReduceScatter
# Usage
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"This PR was closed because it has been inactive for 7 days since being marked as stale.",
"This PR is stale because it has been open for 14 days with no activity.... | 2024-08-22T17:13:44 | 2024-10-23T01:58:38 | 2024-10-23T01:58:38 | MEMBER | {
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"Hi @yangzhipeng1108, looking at the error, \r\n\r\n> ```\r\n> 2: File \"/usr/local/lib/python3.10/dist-packages/lightning_fabric/plugins/environments/torchelastic.py\", line 63, in world_size\r\n> 2: return int(os.environ[\"WORLD_SIZE\"])\r\n> 2: File \"/usr/lib/python3.10/os.py\", line 680, in getitem\r\n> 2: rai... | 2024-08-22T02:16:30 | 2024-10-04T01:58:56 | 2024-10-04T01:58:56 | NONE | {
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2: File "/workspace/NeMo/examples/nlp/language_modeling/tuning/megatron_gpt_finetuning.py", line 64, in main
2: model = MegatronGPTSFTModel.restore_from(cfg.model.restore_from_path, model_cfg, trainer=trainer)
2: File "/opt/NeMo/nemo/collections/nlp/models/nlp_model.py", line 46... | {
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"@jbieniusiewi could you also add the same check for 2.0. The unfinished checkpoint filtering is [here](https://github.com/NVIDIA/NeMo/blob/main/nemo/lightning/resume.py#L112-L113) in 2.0.",
"Thank you for the review @maanug-nv. \r\nI've added checks for NeMo 2.0. One more approval is needed to merge it, so I re-... | 2024-08-22T00:22:30 | 2024-08-29T17:58:40 | 2024-08-29T17:58:38 | COLLABORATOR | {
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} | # What does this PR do ?
The following scenario was recently observed:
- Last checkpoint writing was interrupted due to an irrelevant issue
- Hence last checkpoint was marked as "unfinished" (and there was no other last checkpoint)
- Hence the following training silently skipped the last checkpoint and started fr... | {
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} | 🚀 PR to Bump `Dockerfile.ci`.
📝 Please remember the following to-do's before merge:
- [ ] Verify the presubmit CI
🙏 Please merge this PR only if the CI workflow completed successfully. | {
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"I feel like we should hold off on this until we merge the new entrypoint-API in NeMo-Run, see [docs](https://github.com/NVIDIA/NeMo-Run/blob/c284dcc7005ac5a2183dac661173eee46e05df87/examples/entrypoint/README.md). This will simplify this example considerably while adding more flexibility.",
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**Collection**: [Note which collection this PR will affect]
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- Add specific line by line info of high level changes in this PR.
# Usage
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"I know this is still in draft but I did a quick test and llama and nemotron seem working. Got some error with gemma. Looks like there is a API change for gemma. We also need update for the scripts/deploy/nlp/deploy_triton.py."
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Had this on my local disk and wanted to push it here as well.
The goal is to avoid importing all tokenization libraries when the user will only use one.
**Collection**: [Note which collection this PR will affect]
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📝 Please remember the following to-do's before merge:
- [ ] Verify the presubmit CI
🙏 Please merge this PR only if the CI workflow completed successfully. | {
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} | # What does this PR do ?
This PR removes the attention mask generation to prevent CPU from running out of memory issue when using SFT chat dataset.
# 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 CI... | {
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"LGTM! Besides a few docstrings and getter apis. Approving."
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} | # What does this PR do ?
Turns on various communication/compute overlap optimizations:
- Pipeline parallel overlap, data parallel overlap is well supported and this PR turns it on by default when available
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This PR removes the attention mask in SFT chat dataset which revolved the CPU OOM issue when attention mask was turned on for SFT.
# 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... | {
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**Collection**: [llm]
# Changelog
```
class DeltaTimingCallback(Callback):
```
# Usage
```python
import nemo_run as run
from nemo.utils.exp_manager import DeltaTimingCallback
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3. Adds drop-layers feature support.
4. Adds script which loads the ckpt, trims needed layers, and saves trimmed checkpoint.
**Collection**: [Note which collection this PR will affect]
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Fix https://github.com/NVIDIA/NeMo/issues/10060
**Collection**: ASR
# Changelog
- Improved test coverage for LazyNeMoIterator and fix for a case with `metadata_only=True` and offsets in manifest
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} | # What does this PR do ?
Fix formatting mistake in the ModelOpt Distillation documentation
**Collection**: NLP
# Changelog
- Indent code block in `docs/source/nlp/distillation.rst`
# Usage
N/A
# GitHub Actions CI
The Jenkins CI system has been replaced by GitHub Actions self-hosted runners.
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related
https://github.com/NVIDIA/NeMo/commit/98a0a53ca656e5ceb26ebb224c009fe8b6d4d95c#diff-5b6e58d7bd57dd9253e0fcc5cc1fe788cbb560e021b4d5b9240af46404fed61eR138
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Fix parallelism reset bug with reinit in VP.
**Collection**: [Note which collection this PR will affect]
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Adding a tutorial with examples of using audio codec for inference: generating reconstructed audio, computing discrete tokens, and computing latent representation.
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As described in the title, after finishing all of the installs and building nemo and megatron-lm from source, assuming that the model has been trained with megatron-lm.
**Steps/Code to reproduce bug**
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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.
**Collection**: ASR
# Changelog
- Replace usage of `np.sctypes` with `np.issubdtype` to fix this.
# Usage
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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
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**Collection**: [Note which collection this PR will affect]
# Changelog
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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 ... | 2024-08-16T06:56:46 | 2024-10-12T01:57:13 | 2024-10-12T01:57:12 | MEMBER | {
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"> The fix from #8884 worked for me. See [this commit](https://github.com/aklemen/NeMo/commit/69fa4bb7cd42d... | 2024-08-16T02:18:11 | 2024-11-20T02:01:34 | 2024-11-20T02:01:29 | NONE | {
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**Steps/Code to reproduce the bug**
1. Cloned the repo [7916269](https://github.com/NVIDIA/NeMo/commit/79162696ea8c48734a260dd2dfd6e60602d73a22).
2. Used script `scripts/asr_language_modeling/ngram_lm/eval_beamsearch_ngram_ctc.py`.
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📝 Please remember the following to-do's before merge:
- [ ] Verify the presubmit CI
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Add a one line overview of what this PR aims to accomplish.
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Fixing rope config defaults.
**Collection**: [Note which collection this PR will affect]
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