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https://gitlab-master.nvidia.com/ADLR/megatron-lm/-/merge_requests/2293
we need to fix all occurances in NeMo where TransformerBlock is using a non-mcore TransformerLayer. Otherwise the forward interface between Block and Layer will not match anymore and so NeMo will break
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Resolve Issue.
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"@ericharper could you help review and merge this? With this PR, we will have only one source of truth (NeMo docs) for perf numbers."
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📝 Please remember the following to-do's before merge:
- [ ] Verify the presubmit CI
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**Collection**: NLP / LLM
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I use Nemo 2.0 to train my model and get Nemo 2.0 checkpoint like this with .distcp files:
model_name
├── context
│ ├── model_config.yaml
│ ├── io.json
│ └── tokenizer
├── weights
│ ├── distributed checkpointing directories/files in torch_dist format
│ ├── metadata.json
│ └── common.pt... | {
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📝 Please remember the following to-do's before merge:
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🙏 Please merge this PR only if the CI workflow completed successfully. | {
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Use `lightning.pytorch` and `lightning.fabric`
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"See the following answer: [https://github.com/NVIDIA/NeMo/issues/9615#issuecomment-2264136385](https://github.com/NVIDIA/NeMo/issues/9615#issuecomment-2264136385)",
"Thanks! "
] | 2024-11-11T09:21:57 | 2024-12-08T11:59:19 | 2024-12-08T11:59:18 | CONTRIBUTOR | {
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Thank you for all your amazing work!
At the moment, nemo only support the fastconformer 120M streaming model, however I would like to also try a bigger model. I was wondering if it is possible to modify the architecture to match de 600M parakeet model and initialize the encoder weights from the offline parakee... | {
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Add a one line overview of what this PR aims to accomplish.
Lhotse support for transcribe_speech_parallel
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ASR
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"as per https://github.com/NVIDIA/NeMo/issues/9793\ndegrading huggingface-hub impacted other packages\n",
"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 s... | 2024-11-08T15:03:27 | 2024-12-16T02:07:10 | 2024-12-16T02:07:09 | NONE | {
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tried all varients of python 3.10<
but
```
conda create --name nemo python==3.10.12
conda activate nemo
apt-get update && apt-get install -y libsndfile1 ffmpeg
pip install Cython packaging
pip install nemo_toolkit['all']
```
installation works but multiple errors during code exectution
mostly
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"FYI) @kevalmorabia97 \r\nWhen I add args related to tokenizer, I encounter errors as below.\r\n\r\nI put manually modified config file to `hf_input_path` a... | 2024-11-08T13:00:52 | 2024-11-15T12:23:05 | 2024-11-15T12:23:05 | CONTRIBUTOR | {
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} | # What does this PR do ?
- update llama ckpt converter for supporting width pruning.
- change head_size as kv_channels
- Because of [width pruning of hidden_size](https://github.com/eagle705/NeMo/blob/main/examples/nlp/language_modeling/megatron_gpt_prune.py#L113), attention head size should be updated by kv_ch... | {
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"<!-- pylint-output-strict-mode-false -->\n\nbeep boop 🤖: 🙏 The following files have warnings. In case you are familiar with these, please try helping us to improve the code base.\n\n---\n\nYour code was analyzed with PyLint. The following annotations have been identified:\n\n```\n************* Module nemo.collec... | 2024-11-08T08:14:18 | 2024-11-09T01:28:39 | 2024-11-09T01:28:39 | COLLABORATOR | {
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Adds the following new features to the Diffusion Training Framework:
- FSDP support
- MovieGen 1B/5B/30B Stages 1-3 Training with FSDP + TP/SP + CP
- EC-DiT model (https://arxiv.org/abs/2410.02098)
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https://api.github.com/repos/NVIDIA/NeMo/issues/11225 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/11225/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/11225/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/11225/events | https://github.com/NVIDIA/NeMo/pull/11225 | 2,642,873,206 | PR_kwDOC_bI7s6BROc- | 11,225 | Update example usage to disable sequence_parallel | {
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"`sequence_parallel: false` is already added to the default config now so it should not be needed anymore if you use latest container. Can you please confirm?\r\n\r\nhttps://github.com/eagle705/NeMo/blob/main/examples/nlp/language_modeling/conf/megatron_gpt_prune.yaml#L26",
"@kevalmorabia97 \r\nRight. It already ... | 2024-11-08T05:07:50 | 2024-11-08T12:30:55 | 2024-11-08T12:28:27 | CONTRIBUTOR | {
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} | # What does this PR do ?
Update example usage about sequence_parallel option to resolve an error below
```
Traceback (most recent call last):
File "/opt/NeMo/examples/nlp/language_modeling/megatron_gpt_prune.py", line 93, in main
model = MegatronGPTModel.restore_from(
File "/opt/NeMo/nemo/collections/... | {
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In PyTorch, we can use `register_forward_hook` to capture the output of specific layers. I’m wondering if there’s a similar feature in NeMo or a way to convert a NeMo model to PyTorch to achieve this. Any guidance would be appreciated! | {
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Update README.md for collection page
**Collection**: [doc]
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📝 Please remember the following to-do's before merge:
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* Add default value
# 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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When trying to run `nemo` with `gemma_2b`, `Exception: No dot product attention support for the provided inputs!` was returned.
```
[rank0]: Traceback (most recent call last):
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[rank0]: sys.exit(app())
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- Add specific line by line info of high level changes in this PR.
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Fix the current incompatibility issue with latest MCore due to the recent change https://github.com/NVIDIA/Megatron-LM/commit/4295be1a6c5a0a5d340fa5a081cb741f5b3e863a
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"As far as I can tell, this model doesn't exist. The only \"stt_*_*conformer_ctc_small\" models I've found were Conformer models, not FastConformer. Do you have a link to this 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 ... | 2024-11-07T10:29:30 | 2024-12-20T01:58:56 | 2024-12-20T01:58:56 | NONE | {
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```yaml
name: "FastConformer-CTC-BPE"
# name: "model STT N test"
init_from_pretrained_model: "stt_en_fastconformer_ctc_small"
model:
sample_rate: 16000
log_prediction: true # ... | {
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} | # What does this PR do ?
Hyena wrapper: Weight decay override function
Still TODO: Apply it in non-test scenario
**Collection**: [Note which collection this PR will affect]
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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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* You can potentially add a usage example below
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https://api.github.com/repos/NVIDIA/NeMo/issues/11201 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/11201/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/11201/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/11201/events | https://github.com/NVIDIA/NeMo/pull/11201 | 2,640,225,728 | PR_kwDOC_bI7s6BJqkY | 11,201 | Cherry pick ` (10570)` into `r2.0.0` | {
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} | beep boop [🤖]: Hi @janekl 👋,
we've cherry picked #10570 into `r2.0.0` for you! 🚀
Please review and approve this cherry pick by your convenience! | {
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"what is the output of `pip freeze`?\n\n I'm running `flash-attn==2.0.4` and `nemo_toolkit==1.23.0` and \n\n```\n>>> from nemo.collections.nlp.modules.common.megatron.attention import CoreAttention\n```\n\nruns without issue",
"This issue is stale because it has been open for 30 days with no activity. Remove stal... | 2024-11-07T03:24:44 | 2024-12-22T02:03:10 | 2024-12-22T02:03:09 | NONE | {
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When I use flash attn=2.0.4, running Nemo will result in an error `NameError: name' flash_attn_with_kvcache 'is not defined`
After checking the [code,](https://github.com/NVIDIA/NeMo/blob/main/nemo/collections/nlp/modules/common/megatron/attention.py) I found that when
```python
try:
# Flash At... | {
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```
penwebtext/0 [default0]: File "/opt/NeMo/nemo/lightning/io/mixin.py", line 564, in _io_unflatten_object
penwebtext/0 [default0]: assert hasattr(_thread_local, "output_dir")
penwebtext/0 [default0]:AssertionError
``` | {
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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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} | cherry_pick from #11191
# 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
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Add a one line overview of what this PR aims to accomplish.
**Collection**: This creates a new collection under common/video_tokenizers. Specifically, this collection creates a NeMo PyTorch lightning model for the Cosmos Tokenizers.
# Changelog
- Add a PyTorch lightning model for the... | {
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"there was a code reformatting error raised in github action workflows. reached out @ko3n1g and the error was fixed in https://github.com/NVIDIA/NeMo/pull/11196. pls rebase to the latest main.",
"<!-- pylint-output-strict-mode-false -->\n\nbeep boop 🤖: 🙏 The following files have warnings. In case you are famili... | 2024-11-06T20:31:46 | 2024-11-15T19:09:50 | 2024-11-15T19:09:50 | COLLABORATOR | {
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Adds T5 TTS model
**Collection**: tts, nlp
# Changelog
- Adds T5 TTS model
# 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 cod... | {
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} | # What does this PR do ?
Adds import guard for ipython in vad_utils.py
**Collection**: ASR
# GitHub Actions CI
The Jenkins CI system has been replaced by GitHub Actions self-hosted runners.
The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR.
To re-run CI remove and... | {
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