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@erhoo82 This may also be a good place to add FSDP documentation.
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- [ ] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
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`paths2audiofiles -> audio`
**Collection**: ASR
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This will fix the dataloader failing when using multiple languages in a single text field.
# Changelog
- Fix LhotseSpeechToTextBpeDataset crashing on samples with multiple languages
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Fix TRT-LLM engine export issues for quantized "qnemo" models.
**Collection**: [NLP]
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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
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"This issue was closed because it has been inactive for 7 days since b... | 2024-05-16T07:22:57 | 2024-06-24T01:49:27 | 2024-06-24T01:49:27 | NONE | {
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What should be the audio lengths for fine tuning stt_en_fastconformer_hybrid_large_streaming_multi? Should the length of audio files be same or they can be of different?
Thank You | {
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Add my_torch_cond function, which emulates torch.cond. Also add support for CUDA Graphs stream capture to my_torch_cond.
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`paths2audiofiles -> audio`
**Collection**: ASR
# GitHub Actions CI
The Jenkins CI system has been replaced by GitHub Actions self-hosted runners.
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**Collection**: [Note which collection this PR will affect]
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# Usage
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**Collection**: [Note which collection this PR will affect]
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Generic prompt formatter for text modality with several out-of-the-box prompt format definitions. See the class documentation for more details.
Also, enables support for tensor/array inputs in Canary. Example snippet:
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} | # What does this PR do ?
Hide few deprecated contents under nemo collections. Few other refactors and clean up.
**Collection**: [doc]
# Changelog
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# Usage
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This is a cherry-pick of a ckpt removal small fix from https://github.com/NVIDIA/NeMo/pull/9192
**Collection**: NLP
# Changelog
- Fix incorrect checkpoint removal logic
# Usage
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"Closing this since it will only go to main."
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} | # What does this PR do ?
This is a cherry-pick of async ckpt save implementation from #9028
**Collection**: NLP
# Changelog
- Adds async distributed checkpoint save implementation
# Usage
* set config exp_manager.checkpoint_callback_params.async_save=True
```python
# Add a code snippet demonstrating... | {
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"Your lr is very high, start with 3e-4 for finetuning. Model might have exploded to NaNs. Could you swicth to fastconformer architecture instead of Conformer? FastConformer is quick to train. start with fp32 then move to precision 16 once your training setup is fine and you see curves are normal. \r\n\r\nFastconfor... | 2024-05-15T09:58:50 | 2024-05-20T13:08:48 | 2024-05-20T13:08:48 | NONE | {
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#!/bin/bash
cat fine_tune_rnnt.sh
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"@galv @pzelasko actual change is just these 5 lines, everything else is just black formatter and a unittest at the bottom - https://github.com/NVIDIA/NeMo/pull/9201/files#diff-04e10f8fb8f7afddb360c7ea0ff9c831613c754085d2fd06961bb80a9f932a25R37... | 2024-05-15T07:04:25 | 2024-05-17T16:18:37 | 2024-05-17T16:18:36 | COLLABORATOR | {
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} | # What does this PR do ?
Enables the use of a pre-constructed data loader as input to the model.transcribe() function.
This allows for a fastpath to ignore all manifest and tensor handling to the user, only executing the model forward and later steps.
**Collection**: [ASR]
# Changelog
- Allows the user to p... | {
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"This PR was closed because it has been inactive for 7 days since being marked as stale."
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Add Baichuan and ChatGLM TRTLLM export
**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 demonstrati... | {
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} | # What does this PR do ?
Fix the issue that ckpt trained in 2403 cannot be resumed in latest NeMo
**Collection**: NLP
# 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 P... | {
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I demonstrate, using transcribe_speech.py, that simply casting the entire model to bfloat16 gives about 15% higher performance than using automatic mixed precision. The reasons why are discussed in #9086
There are a few small modifications to our conformer encoder and multi head attention... | {
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Implementation of iterative pseudo-labeling algorithm with cache mechanism like [slimIPL](https://arxiv.org/pdf/2010.11524). Algorithm is available for CTC and Hybrid models. It supports tarr, non-tarr, lhotse datasets. Also works with data from aistore.
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Fix incorrect checkpoint removal logic. The #9016 introduces and invalid (because of the following `else`) `if` branches simplification: https://github.com/NVIDIA/NeMo/pull/9016/files#diff-7667eae242a8ef776bff78cd08e79bc81df4896a450f0a781f6ed317a3dfb7ffL486
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Update the flash attention section in memory_optimizations.rst
**Collection**: [Note which collection this PR will affect]
# Changelog
- Added more information about flash attention implementation in NeMo and Transformer Engine in docs/source/features/memory_optimizations.rst L14-23 ... | {
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# Changelog
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"I made a few more copyedits to the file. Please review and implement the changes.",
"I looked at your latest comments and added my responses to your questions. Otherwise, the changes to the files look good."
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} | # What does this PR do ?
In this pr, we updated docs for TP/PP/VP/CP and EP (moved from https://github.com/NVIDIA/NeMo/pull/9148).
We added a section for GQA/MQA.
We also added Seq packing for NeVA.
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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**Collection**: SD
# Changelog
- Catch the `_target_` code in newer titanet versions, which is not available in previous versions.
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* update documentation
**Collection**: NLP
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enables training of a contrastive reranker model based on GPT architecture and PEFT. Used for reranking the results of an embedding model.
**Collection**: [NLP]
# Changelog
- Add specific line by line info of high level changes in this PR.
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"Hi, do you also face this issue in `megatron_gpt_finetuning.py` if `write_predictions_to_file` is set to True? I'm also facing the same error that way",
"\r\nI also meet this issue, w/ a NumPy array is not writable, when ... | 2024-05-11T10:50:24 | 2024-07-18T13:00:23 | 2024-07-18T13:00:23 | NONE | {
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I use images：nvcr.io/nvidia/nemo:24.03.framework，and successfully run /NeMo/examples/nlp/language_modeling/tuning/megatron_gpt_finetuning.py
but when I run /NeMo/examples/nlp/language_modeling/tuning/megatron_gpt_generate.py， if set model.data.test_ds.write_predictions_to_file=False，it will run success； if set mo... | {
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"> Thanks for the great work, just a few comments. Also please remember to address the CodeQL issues. My main concerns are:\r\n> \r\n> 1. We need to remove random context and canary-specific dataloading, since they were only used in our internal experiments but not useful for external users. We added them for fast ... | 2024-05-11T02:46:50 | 2024-06-07T14:49:51 | 2024-06-07T03:25:14 | COLLABORATOR | {
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} | # What does this PR do ?
In multimodal/speech_llm, add lhotse dataloader support and two models, SALM-T5 and Bestow-GPT. Include example configs.
### Main features under speech_llm
- Lhotse dataloader support for speech SFT in speech_llm
- SALM-style architecture with T5 LLM backbone
- Bestow-style architec... | {
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I'm using val_loss as criteria to compare checkpoints and save top k. However, unlike WER, there seems to be some weird miscalculation happening: during training, I would see `'val_loss' was not in top {k}`, but then I check the checkpoints directory, the latest model's val_loss is definitely wi... | {
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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 ?
Move random seed to FIMDataset Init function
**PR Type**:
- [ ] New Feature
- [X] Bugfix
- [ ] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
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"This issue is stale because it has been open for 30 days with no activity. Remove stale label or comment or this will be closed in 7 days.",
"This issue was closed because it has been inactive for 7 days since being marked as stale."
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I believe it is a very helpful features to support multiple metrics reporting for users :) | {
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"This PR was closed because it has been inactive for 7 days since being marked as stale.",
"Shit hole."
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} | # What does this PR do ?
Simply, add more common text metrics from `torchmetrics`.
It takes me long time to find out how to add more common text-based metrics for validation measurement in NeMo, and I hope this PR could help more people to get to know that ``Yes, we can leverage more auto metrics directly from `tor... | {
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Simply, add more common text metrics from `torchmetrics`.
# 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 la... | {
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} | # What does this PR do ?
EP rank is not right when TP is set at the same time, which causes accuracy mismatch and functionality failure.
We saw alltoall-v illegal memory access when using TP2EP2DP2. Fixing this has resolve the issue.
**Collection**: [Note which collection this PR will affect]
# Changelog
- ... | {
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Add documentation for using `push_to_hf_hub()` at a ModelPT level
**Collection**: [Core]
# Changelog
- Adds sections showing automated upload to HF Hub
# GitHub Actions CI
The Jenkins CI system has been replaced by GitHub Actions self-hosted runners.
The GitHub Actions CI wi... | {
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Add guards to SD imports. So that pip install'ed NeMo won't fail the imports.
**Collection**: [multimodal]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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* speed-up in training start when duration bins are not provided (we will assume uniform split to num_buckets - 1 bins over the span of [min_duration - max_duration])
* `scripts/speech_recognition/estimate_duration_bins.py`
* support more data input flags supported by NeMo training confi... | {
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Enable saving/restoring checkpoint when using mcore dist opt in NeMo.
**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 torch distributed checkpoint test to ci/cd pipeline.
**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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This PR adds the support for embedding_read_fusion parameter in MCoreGPTModel. This new parameter will be added into Megatron-LM.
**Collection**: [Note which collection this PR will affect]
# Changelog
Add the embedding_read_fusion parameter, which is got from self.cfg.
# Usage
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```
FileNotFoundError: Model stt_fa_fastconformer_hybrid_large was not found.
```
**Steps/Code to reproduce bug**
```python3
import nemo.collections.asr as nemo_asr
asr_model = nemo_asr.models.EncDecHybridRNNTCTCBPEModel.from_pretrained(model_name="stt_fa_fastconformer_hybrid_large")
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There is a lot of literature on this, and according to the current state of the art, I believe these kinds of models are indispensable for achieving realistic conversations... | {
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"Will be merged as part of @yaoyu-33 's PR https://github.com/NVIDIA/NeMo/pull/9184. Closing."
] | 2024-05-08T22:12:35 | 2024-08-01T16:36:30 | 2024-05-13T18:26:33 | 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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"CI passed: https://github.com/NVIDIA/NeMo/actions/runs/9688953931\r\n"
... | 2024-05-08T22:07:32 | 2024-06-28T04:40:35 | 2024-06-27T15:57:21 | COLLABORATOR | {
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} | # What does this PR do ?
Adding 'use_dynamo' option for export to use onnx.dynamo_export() instead of onnx.export()
The options is still experimental, default is to use legacy export.
Also added overloadable dynamic_shapes_for_export method to Exportable - so networks could provide customized dynamic shapes (make ... | {
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"@maanug-nv , could you look at this one?",
"@ericharper , @maanug-nv ; \r\nI also tried running on slurm cluster, please find logs below.\r\n\r\n```\r\n[NeMo I 2024-05-23 11:06:21 megatron_gpt_sft:176] ... | 2024-05-08T21:42:14 | 2024-07-01T20:08:30 | 2024-07-01T20:08:30 | NONE | {
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} | null | null | null | **Describe the bug**
I am following [guide](https://docs.nvidia.com/nemo-framework/user-guide/latest/playbooks/llama2sft.html) to fine tune llama2-7B model on 2 nodes (H100).
my training hangs at dalaloader sanity checking.
```
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} | # What does this PR do ?
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# Changelog
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# Usage
n/a
# 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
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# Add a cod... | {
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} | # What does this PR do ?
Add link to TN/ITN section of the docs in speech tools list and fix some other issues in (I)TN part of the docs
**Collection**: Docs
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
N/A
# GitHub Actions CI
The Jenkins CI system has been... | {
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"Pipeline passed (2 test that failed are flaky): https://github.com/NVIDIA/NeMo/actions/runs/9023302152"
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} | # What does this PR do ?
Fix the missing `setup_mcore_distributed_parallel` for T5 m odel
**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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"@ROZBEH generally we try to put config to suit for training on small number of GPUs but for training these models we might have used large number of GPUs, so parameters might not be the same. \r\n\r\n@sam1373 do you know the difference between current config and model trained?",
"I see - thanks @nithinraok \r\nY... | 2024-05-08T16:27:07 | 2024-06-15T01:47:29 | 2024-06-15T01:47:29 | NONE | {
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} | null | null | null | This is not a feature request per se. It's more about seeking help :-)
Right now I am trying the `stt_en_quartznet15x5` in nemo and I can load it and run inference without any issues. I can also see the model config which includes the layers, post and preprocessing parts without any issue.
Now, I am trying to tra... | {
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"@satheeshkatipomu What the tools you convert \"Converted Llama2 70B base model checkpoint from huggingface to nemo format\"? \r\n",
"I have used `convert_llama_hf_to_nemo.py` script to convert llama2 70B model from huggingface format to NeMo format. Here is the exact command\r\n```\r\npython3 -u /opt/NeMo/script... | 2024-05-08T13:17:04 | 2024-07-26T06:39:24 | 2024-07-26T01:50:27 | NONE | {
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I am trying to fine-tune Llama2 70B model on a dataset, with TP=4, PP=8 it is working fine. But with FSDP on 6 nodes it is failing with below error
```
File "/opt/NeMo/nemo/collections/nlp/parts/nlp_overrides.py", line 670, in setup_environment
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"Hi, we are aware that some TE implementations won't generate identical results to those of HF (which uses native PyTorch). We use our fused version of operations to speed up training. It seems you are using the Llama model as a foundation model. NeMo thoroughly tests Llama models to ensure that even though the res... | 2024-05-08T11:29:38 | 2024-05-16T06:24:30 | 2024-05-16T06:24:30 | NONE | {
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We are using nemo to training our large vision language model. When converting models from nemo format to hugging face format, we found that given the same inputs and weights, we get different outputs.
We test that after layer normalization, even using the same weights and input, outputs are ... | {
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Step 1 pass
Step 2 Run the container using the following command --> pass
Convert the huggingface model to .nemo model --> not pass
Remark:
My computer:
OS: Ubuntu 22.04LTS
Memory:32GB
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In multimodal/speech_llm, add lhotse dataloader support and two models, SALM-T5 and Bestow-GPT. Include example configs.
### Main features under speech_llm
- Lhotse dataloader support for speech SFT in speech_llm
- SALM-style architecture with T5 LLM backbone
- Bestow-style architec... | {
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} | # What does this PR do ?
The key config options to set are:
```
+model.train_ds.input_cfg=/path/to/speech_text_input.yaml \
+model.train_ds.use_multimodal_sampling=true \
+model.train_ds.batch_tokens=65536 \
+model.train_ds.token_equivalent_duration=0.08 \
+model.train_ds.quadratic_factor=4096 \
+mode... | {
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} | # What does this PR do ?
allows the option to learn embeddings using matryoshka embedding learning.
**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**: [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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This reverts commit 00023c42a8364a1468a1bb31c1f8f35bc7b0c11e.
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"I added the following to augmentor, and used the following snippet from online augmentation tutorial\r\n```python\r\nrir_data_path = f'{data_dir}/dataset'\r\n!python {NEMO_ROOT}/scripts/dataset_processing/get_openslr_rir_data.py --data_root {rir_data_path}\r\nrir_manifest_path = os.path.join(rir_data_path, 'proces... | 2024-05-07T13:03:48 | 2024-06-15T01:47:33 | 2024-06-15T01:47:32 | NONE | {
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} | null | null | null | **Is your feature request related to a problem? Please describe.**
I want to train TitaNet with augmentation.
However, I do not know how can I prepare the rir_noise_manifest.json, file for training Titanet-L with rir noise augmentation.
**Describe the solution you'd like**
Provide a code snippet on how to add... | {
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} | # What does this PR do ?
Split our testsuite into smaller chunks and DRY our `cicd-main` workflow file.
**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 ?
Add knob for `load_directly_on_device` distributed checkpoint loading flag in GPT config.
**Collection**: NLP
# Changelog
- Add `model.dist_ckpt_load_on_device` knob for `load_directly_on_device` distributed checkpoint loading flag
# Usage
* set `model.dist_ckpt_load_on_device=Fa... | {
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