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"Its a very old model, I would recommend you to try with Fast Conformer. \r\n@titu1994 Few notebooks are based on quartznet architecture, we need to update them to use FastConformer! ",
"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... | 2024-06-11T12:56:18 | 2024-08-10T01:51:39 | 2024-08-10T01:51:38 | NONE | {
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CTC finetuning is not converging I tried to change hyperparameters, but still there is no luck. During training the model started to output empty strings.
**Expected behavior**
expected to converge for new language (I was simply following the tutorial given).
https://github.com/NVIDI... | {
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"@marcromeyn can you fix the DCO? thanks."
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"we released 1B model but not the large model here: https://huggingface.co/spaces/nvidia/parakeet-tdt_ctc-1.1b ",
"Thanks, I have seen this. I was interested to know about Large-FastConformer(~120M) model trained with this config:\r\nhttps://github.com/NVIDIA/NeMo/blob/main/examples/asr/conf/fastconformer/long_fa... | 2024-06-11T07:48:11 | 2024-07-31T18:19:27 | 2024-07-31T18:19:27 | NONE | {
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Do you plan to release En Large FastConformer-Long-CTC-BPE model trained with Local Attention and Global token? | null | {
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"@moutasemalakkad \r\n\r\nHi, I've just faced same issue.\r\n- work on Docker image ; nvcr.io/nvidia/nemo:24.03.framework\r\n\r\nHere is my solution : insert `cfg.trainer.precision = None` above this line.\r\nhttps://github.com/NVIDIA/NeMo/blob/ebba8b14263ca513c4453fcde0472785c19f46c1/examples/nlp/language_modeling... | 2024-06-10T18:08:26 | 2024-07-25T22:50:52 | 2024-07-25T22:50:52 | NONE | {
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} | null | null | null | **Title: Conflict between precision settings and MegatronHalfPrecisionPlugin in MegatronGPT training**
**Describe the bug**
When attempting to continue training the MegatronGPT model, I encountered a conflict between `precision=bf16-mixed` and the `MegatronHalfPrecisionPlugin`. This results in a `ValueError` indi... | {
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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 becau... | 2024-06-10T17:09:07 | 2024-10-26T20:45:01 | 2024-08-22T01:52:59 | NONE | {
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I'm running inference with `batch_size=1` on a directory with 10k small audio files with total duration of around 9.5 hours.
Does any body know where this excessive RAM usage comes from?
Here is a sample script:
```
import time
from pathlib imp... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/9427 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/9427/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/9427/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/9427/events | https://github.com/NVIDIA/NeMo/pull/9427 | 2,344,421,011 | PR_kwDOC_bI7s5yAUh5 | 9,427 | query tp_comm_disable_qkv via getattr | {
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"will add this to mcore."
] | 2024-06-10T17:03:56 | 2024-08-01T16:36:28 | 2024-06-12T01:03:01 | MEMBER | {
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} | # What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
# Add a cod... | {
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} | # What does this PR do ?
A small renaming PR to use native TensorRT-LLM parameter names:
* `max_input_len` instead of `max_input_token`
* `max_output_len` instead of `max_output_token`
For `export` and `forward` methods in `TensorRTLLM` class it is still possible to use old names but a deprecation warning is i... | {
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} | # What does this PR do ?
Allow users to specifying **alpha** for INT8 SmoothQuant method. For example, setting it to 0.8 improves Llama3 (8b, 70b) MMLU accuracy results compared to default alpha=1.0.
```
| MODEL | ALPHA | MMLU |
|------------|---------|--------|
| LLAMA3-70B | 0 | 0.004 |
| LL... | {
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} | # What does this PR do ?
This PR generalizes FP8 extra state wrapping for all tensors.
**Collection**: nlp
# 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 n... | {
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Some scripts still throw errors similar to #7166:
```
transcribe_speech.py 104 <module>
@dataclass
dataclasses.py 1232 dataclass
return wrap(cls)
dataclasses.py 1222 wrap
return _process_class(cls, init, repr, eq, order, unsafe_hash,
dataclasses.py 958 _process_class
cls_fields.ap... | {
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} | # What does this PR do ?
Ensures the `start_index` is correctly converted to a CPU-based NumPy array to maintain compatibility with operations requiring NumPy arrays.
**Collection**: `RNNT Decoding`
# Changelog
- Updated the calculation of `start_index` to include `.cpu().numpy()` conversion in the `Abstract... | {
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**Collection**: [Note which collection this PR will affect]
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} | # What does this PR do ?
Adds an option to merge distributed optimizer buckets with GPT. By default each bucket corresponds to a Transformer layer (without interleaved pipeline parallelism) or to virtual pipeline parallel stage (with interleaved pipeline parallelism)
**Collection**: NLP
# Changelog
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"Can we add github CI test for this and then also test the regular GPT pretraining, with resuming, is the same before and after this PR?",
"We should also add docs for this, the readme here is a good start.",
"sure i will add some tests. the gpt resume behavior is not changed in my local tests",
"@ericharper ... | 2024-06-07T20:12:56 | 2024-06-28T18:50:00 | 2024-06-28T18:49:59 | COLLABORATOR | {
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} | # What does this PR do ?
## Continual Learning with Pretrained Checkpoints
Continual learning enables large language models (LLMs) to acquire new skills and remain current with the swiftly advancing landscape of human knowledge. This guide details how to engage in continual learning using existing pretrained chec... | {
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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
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cherry pick of #9266 PR.
**Collection**: [Note which collection this PR will affect]
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# Usage
* You can potentially add a usage example below
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"no one concerned about this issue？\r\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 since being marked as stale."
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<img width="838" alt="截屏2024-06-07 15 24 28" src="https://github.com/NVIDIA/NeMo/assets/25609661/0aa82472-88a5-4445-aa0c-0c8d8d41bb32">
```[tasklist]
### Tasks
```
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} | # What does this PR do ?
Enable multi task AED models to add adapter support to its encoders (speech encoder and transformer encoder) and decoder (transformer decoder). Also add new API to automatically swap out original modules with adapter compatible modules.
**Collection**: [ASR]
# Changelog
- Add support... | {
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When training GPT with interleaved pipelining and the distributed optimizer, we want each distopt bucket to correspond to a pipeline stage to get the best communication overlapping. However, https://github.com/NVIDIA/NeMo/pull/8221 has a bug where each distopt bucket corresponds to a Transfo... | {
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"Thanks for the information, we're taking a look at whether we can make it an optional dependency. ",
"I just tried installing in a clean conda env and it worked for me: \r\n```\r\nconda create env --name test_r2.0.0rc0 python==3.10.12\r\nconda activate test_r2.0.0rc0\r\nconda install pytorch torchvision torchaud... | 2024-06-06T10:00:36 | 2024-08-10T01:51:42 | 2024-08-10T01:51:41 | NONE | {
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but it shows error:
RuntimeError: causal_conv1d is only supported on CUDA 11.6 and above. Note: make sure nvcc has a supported version by running nvcc -V.
torch.__version__ = 2.3.0+cu121
[end of output]
note: This... | {
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} | # What does this PR do ?
Add LoRA for MoE layer (e.g. Mixtral model).
This does not necessarily improve the convergence of LoRA on Mixtral. However, it is important for QLoRA to achieve the best memory savings
**Collection**: [Note which collection this PR will affect]
# Changelog
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] | 2024-06-06T00:20:58 | 2024-07-06T05:30:41 | 2024-07-06T05:30:41 | CONTRIBUTOR | {
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Hi,
Please check the this [line](https://github.com/NVIDIA/NeMo/blob/main/nemo/collections/multimodal/data/neva/neva_dataset.py#L980) and this [line](https://github.com/NVIDIA/NeMo/blob/main/nemo/collections/multimodal/parts/utils.py#L527)
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"I'm also interested in this.",
"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... | 2024-06-05T22:56:05 | 2024-08-16T01:51:39 | 2024-08-16T01:51:38 | NONE | {
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} | null | null | null | Hi team,
Thank you for your efforts in adding async_save support to DistributedCheckpointIO. I am currently testing async_save with DistributedCheckpointIO and found that it only supports [non-FSDP MCore models](https://github.com/NVIDIA/NeMo/blob/ae06138a5012375e39a93b512d76b5fbc4d8c229/nemo/collections/nlp/parts/m... | {
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} | Revised content per https://gitlab-master.nvidia.com/nemo-framework-tme/documentation/-/issues/25. Also removed reference to NIMs in LLMs and MMs Deployment and Optimization. It should be NVIDIA NeMo Microservices and not NIM. Removed nemo:24.03.framework and nemo:24.01.speech in Docker Containers section and replaced... | {
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"This is now ready; Tested DDP, TP=2, PP=2 apex & distOpt.\r\nThere was a small bug in get_model_module_list that was also fixed.",
"CI passed: https://github.com/NVIDIA/NeMo/actions/runs/9422621053"
] | 2024-06-05T18:54:02 | 2024-06-10T01:47:22 | 2024-06-10T01:47:21 | MEMBER | {
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} | # What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
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Adds Riva and k2 WFST decoding options for ASR inference.
**Collection**: [ASR]
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- Add specific line by line info of high level changes in this PR.
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**Collection**:
asr
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` if speaker_model is not None:
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**Collection**: [TTS]
# Changelog
Fix sample rate order for torchscript export
# Usage
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# Add a code snippet demonstrating how to use this
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Setting `model.data.splits_string` to `1000,0,0` results in `TypeError: object of type 'NoneType' has no len()`
**Steps/Code to reproduce bug**
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"Look good to me :+1:\r\n\r\nCan you apply a similar `sharded_state_dict` delay here? https://github.com/NVIDIA/NeMo/blob/main/nemo/collections/nlp/parts/nlp_overrides.py#L947",
"@mikolajblaz \r\n> Look good to me 👍\r\n> \r\n> Can you apply a similar `sharded_state_dict` delay here? https://github.com/NVIDIA/NeM... | 2024-06-05T01:06:29 | 2024-06-15T03:46:57 | 2024-06-15T01:08:24 | CONTRIBUTOR | {
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"merged_at": "2024-06-15T01:08:24"
} | # What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
Move loading sharded state dict after initialize parallel state.
Addresses https://github.com/NVIDIA/NeMo/issues/8460
Notes:
- see the original issue for more details
- unsure if this is the correct approach, or if there ... | {
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**Collection**: NLP
# Changelog
- Added `nemo.export.vllm` package that implements the export and deployment functionality, primarily with the `nemo.export.vllm.Exporter` class.
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This PR changes clustering_diarizer.py code to use CUDA if cuda is available and if device=None.
**Collection**:
asr
# Changelog
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if self._cfg.device is None and torch.cuda.is_available():
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} | # What does this PR do ?
When truncation field is None, we will truncate our inputs from right or left. But we need to leave spaces for generating tokens.
**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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} | # What does this PR do ?
This PR is revision of the old PR https://github.com/NVIDIA/NeMo/pull/9182.
TitaNet model was updated but some previous configurations were not.
This PR provides support for prevevious msdd configuration versions.
**Collection**: SD
# Changelog
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} | # What does this PR do ?
This PR is revision of the old PR https://github.com/NVIDIA/NeMo/pull/9182.
TitaNet model was updated but some previous configurations were not.
This PR provides support for prevevious msdd configuration versions.
**Collection**: SD
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} | # What does this PR do ?
fp16 precision fix. Fixes this error when using mcore=True & precision is fp16:
`RuntimeError: expected scalar type Half but found Float`
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
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**Collection**: [Note which collection this PR will affect]
# Changelog
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# Usage
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} | # What does this PR do ?
Adds reset learning rate functionality.
**Collection**: [Note which collection this PR will affect]
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# Usage
* You can potentially add a usage example below
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} | * Fix GreedyBatchedCTCInfer regression from GreedyCTCInfer.
decoder_lengths is allowed to be on CPU even when decoder_output is on GPU. This matches the behavior of GreedyCTCInfer. Even though that behavior is unintentional, there is code depending on that behavior, including our jupyter notebooks.
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"This PR is stale because it has been open for 14 days with no activity. Remove stale label o... | 2024-06-03T19:43:07 | 2024-09-01T02:03:24 | 2024-09-01T02:03:24 | NONE | {
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This PR makes a few edits for syntax and missing words in the NeMo tutorials.
**tutorials**
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} | # What does this PR do ?
Update and fix Gemma conversion script
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Currently I train a citrinet-512 Model. I copied the config from the example configs in here and didnt change them (https://github.com/NVIDIA/NeMo/tree/main/examples/asr/conf/citrinet). After detecting the issue, I also used another config of hugging face where someone finetuned a citrinet model... | {
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} | # What does this PR do ?
I introduced in mcore a config logger, which when enabled dumps to disk configuration options at entry points of mcore. The logger uses the rank as part of the logs filepath & as a result we need a way to specify these when the distributed environment has not yet been setup.
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Correcting WPE tokenizer ids_to_text function which now handles punctuation marks and spaces.
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File "/opt/NeMo/scripts/checkpoint_converters/convert_llama_hf_to_nemo.py", line 312, in <module>
convert(args)
File "/opt/NeMo/scripts/checkpoint_converters/convert_llama_hf_to_nemo.py", line 288, in convert
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"@chrisalexiuk-nvidia @vinhngx could you please review?",
"\r\n\r\nThere's some formatting mismatch here for the `Fig Text`.\r\n\r\n",
"Adding @nealvaidya for any review comments covering the NIM part",
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* Adds a notebook for sending multi-LoRA inference request to NVIDIA NIM
* Adds README that includes instructions fore context and set up
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"Please update to NeMo 1.23.0. ",
"> Please update to NeMo 1.23.0.\r\n@titu1994 \r\n\r\nTraceback (most recent call last):\r\n File \"/home/ma-user/work/exp/speech_to_text_eval.py\", line 71, in <module>\r\n import transcribe_speech\r\n File \"/home/ma-user/work/exp/transcribe_spe... | 2024-06-02T08:39:14 | 2024-07-12T01:49:12 | 2024-07-12T01:49:11 | NONE | {
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When loading the model using the text_to_speech_eval.py script the model instantiation fails:
[NeMo E 2024-06-02 11:21:20 common:529] Model instantiation failed!
Target class: nemo.collections.asr.models.ctc_bpe_models.EncDecCTCModelBPE
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skip entering if statement's block that's intended only for apex distOpt if using mcore distOpt.
if the mcore distOpt is used it will set self.with_distributed_adam to true. This is something we can refactor to improve readability/maintainability.
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# Changelog
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# Usage
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NLP
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Re-org the export code to make it more step by step. In the new code, there will be 3 main parts including the reading the nemo ckpt, converting nemo ckpt to trt-llm ckpt, and building the trt-llm engine.
Once this PR is completed, then the converting nemo ckpt to trt-llm ckpt, and buildi... | {
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# Usage
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decoder_lengths is allowed to be on CPU even when decoder_output is on GPU. This matches the behavior of GreedyCTCInfer. Even though that behavior is unintentional, there is code depending on that behavior, including our jupyter notebooks.
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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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} | # What does this PR do ?
This PR brings two updates:
* Fix SSL contrastive loss to support loss computation for variable input length rather than computation based on subsampling factor
* Add an option to remove bias from Linear and Conv layers in Conformer layers to support scaling for multi billion parameter tra... | {
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} | # What does this PR do ?
decoder_lengths is allowed to be on CPU even when decoder_output is on GPU. This matches the behavior of GreedyCTCInfer. Even though that behavior is unintentional, there is code depending on that behavior, including our jupyter notebooks.
# Testing
I tested in the following way. I ran... | {
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Hi developers,
I noticed we reverse the video frame channels [here](https://github.com/NVIDIA/NeMo/blob/main/nemo/collections/multimodal/data/neva/neva_dataset.py#L103) and [here](https://github.com/NVIDIA/NeMo/blob/deb613adc7b7ad0a540f5cc1f0bc5032ddb345ff/nemo/collections/multimodal/parts/utils.... | {
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"Thank you @timmoon10 for the fast review, will update the PR."
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} | # What does this PR do ?
Updates Mcore DDP call to match https://github.com/NVIDIA/Megatron-LM/commit/02871b4df8c69fac687ab6676c4246e936ce92d0
**Collection**: [Note which collection this PR will affect]
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} | # What does this PR do ?
Mcore distOpt handles layernorm all-reduce, so we need to skip it in NeMo side (MegatronGPTModel)
**Collection**: [Note which collection this PR will affect]
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This would cause the ASR_dev_run_Speech_To_Text_HF_Finetuning CI/CD test to fail sporadically (maybe 1 out of 5 times).
# What does this PR do ?
Fixes the crash by us... | {
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**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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} | # What does this PR do ?
For megatron amp o2, the assert needs to happen before the key name update.
**Collection**: [multimodal]
# 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 ad... | {
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} | # What does this PR do ?
Add QLoRA
## Current Results
### Convergence
Llama 7b, Squad, packed seq 2k, LoRA on all layers
gbs4, 2e-4, 2k iterations
`exact_match 89.199 f1 94.791 rougeL 94.400 total 6064.000`
Normal LoRA (qkv only)
`exact_match 88.819 f1 94.415 rougeL 94.084 total ... | {
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This would cause the ASR_dev_run_Speech_To_Text_HF_Finetuning CI/CD test to fail sporadically (maybe 1 out of 5 times).
# What does this PR do ?
Fixes the crash by us... | {
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"@monica-sekoyan pls fix conflicts, we can merge this once it passes CI",
"> @monica-sekoyan pls fix conflicts, we can merge this once it passes CI\r\n\r\ndone"
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} | # What does this PR do ?
Adds possibility to verify speakers via TitaNet with batch inference.
**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
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Unify code paths for building TRTLLM engines for nemo & qnemo checkpoints.
**Collection**: NLP
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
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"Nice, can you fix the DCO?",
"Done thanks :)"
] | 2024-05-29T08:52:41 | 2024-05-30T05:45:56 | 2024-05-30T05:45:56 | CONTRIBUTOR | {
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} | As observed by some users in #8487, FSDP causes differences in loss. This is because gradients are not correctly calculated when `fsdp_use_orig_params=True`. Currently, any non-`FlatParameter` is treated as being unsharded, when in reality they may be sharded when `use_orig_params=True`. This leads to a double reductio... | {
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"Similar issue: https://github.com/NVIDIA/NeMo/issues/9268 ",
"My issue got solved instead of pulling nvcr.io/nvidia/nemo:24.03.01.framework pull nvcr.io/nvidia/nemo:dev.framework"
] | 2024-05-29T07:41:13 | 2024-05-30T12:29:44 | 2024-05-30T12:28:36 | NONE | {
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Error:
```
ERROR: The NVIDIA Driver is present, but CUDA failed to initialize. GPU functionality will not be available.
[[ System has unsupported display driver / cuda driver combination (error 803) ]]
```
Command:
```
docker run --gpus device=0 --shm-size=2g --net=host --ulimit memlock=-1 --rm -it -v ${P... | {
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"Hi, I wonder why passing HF-TOKEN via CLI is required instead of passing it via an environment variable? Can you please clarify for future readers? Thank you.",
"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.",
"... | 2024-05-28T20:17:02 | 2024-06-21T01:47:22 | 2024-06-21T01:47:21 | COLLABORATOR | {
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} | # What does this PR do ?
Adds HF TOKEN to the scripts | {
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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.",
"Commenting to kill the stale label.\r\n\r\nThis really just needs a reviewer. Would be great to know if this is the desired solution; I think I'm seeing the same th... | 2024-05-28T18:32:28 | 2024-07-10T01:50:02 | 2024-07-10T01:50:01 | CONTRIBUTOR | {
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} | # What does this PR do ?
Avoid tons of terminal spam such as:
```
[rank0]:[W528 18:14:19.086678488 ProcessGroupNCCL.cpp:1122] WARNING: process group has NOT been destroyed before it is being destructed. On normal program exit, the application should call destroy_process_group to ensure that any pending NCCL data t... | {
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