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Added arpa/ipa flag. Choo
**Collection**: tts
# Changelog
- Add specific line by line info of high level changes in this PR.
# Before your PR is "Ready for review"
**Pre checks**:
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**Collection**: []
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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1. Changed hiddens transformations module from `transformations` to `hiddens`.
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**Collection**: [Note which collection this PR will affect]
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A clear and concise description of what the bug is.
**Steps/Code to reproduce bug**
Please list *minimal* steps or code snippet for us to be able to reproduce the bug.
A helpful guide on on how to craft a minimal bug report http://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-re... | {
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Support Llama2 models in mcore.
Support PEFT adapters in mcore.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* `mcore_gpt` needs to be enabled for LLAMA2.
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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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**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 new necessary tests?
- [ ] Did you add or update any necessar... | {
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caches ptuning representations in a simple embedding layer.
**Collection**: [NLP]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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**Collection**: [Note which collection this PR will affect]
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Adding server options to GPT PEFT eval
**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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TTS
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} | * fix ptuning and lora model_parallel_config
* support deprecated models
* update megatron connit sha
---------
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**Collection**: [Note which collection this PR will affect]
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} | # What does this PR do ?
replace dummy model_parrallel_config with the real one after initializing base model.
**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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Adding SHARP interface to Megatron Core
# Changelog
Add SHARP enable argument to parallel state function
# Usage
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} | # What does this PR do ?
Fix the issues when using megatron_amp_O2 on PEFT models
**Collection**: [Note which collection this PR will affect]
# Changelog
- Transform adapters to fp16/bf16 when the base model uses megatron_amp_O2. When using amp_O2 we should make model parameters in fp16/bf16. Previous PR #72... | {
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Add conv1d subsampling for ASR / lip reading
**Collection**: asr
# Changelog
- Add 'striding_conv1d' and 'dw_striding_conv1d' subsampling options. Subsampling is performed using strided conv1d convolutions with kernel size 5 instead of doing reshape + frequency-temporal conv2d + resh... | {
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} | # What does this PR do ?
This MR integrates dist ckpt with recent improvements of [Apex DistributedOptimizer state dict](https://github.com/NVIDIA/apex/pull/1704).
It makes the [old integration PR](https://github.com/NVIDIA/NeMo/pull/7140) redundant.
**Collection**: NLP
# Changelog
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Could you share the file lists of these subsets? Or code to reproduce these subsets?
Thank you in ad... | {
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} | Add PEFT adapter support for mcore gpt path.
contains a nemo.core change to accept kwargs to pass into hydra instantiate.
currently only support Ptuning and Lora now.
tested on llama2 7b TP SP PP DP | {
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} | # What does this PR do ?
save memory during training by loss mask selection for final output layer + softmax.
**Collection**: [NLP]
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# Usage
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Replaces `super().validation_step` in `inference_step` of `megatron_gpt_sft_model.py` with the `validation_step` from `megatron_gpt_model` but without prefetch as just one batch is passed to the `validation_step` in `megatron_gpt_sft_model` and prefetching causes an error.
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} | # What does this PR do ?
Fixed duplicate definition of `output_types` for class `MultiPeriodDiscriminator`.
**Collection**: TTS
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} | # What does this PR do ?
Update Numba version in Docker
**Collection**: [ASR]
# 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?
- [ ] Di... | {
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} | # What does this PR do ?
Use generation if user set `write_predictions_to_file` to `True` or `dataset.metric.name!=loss`
**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 ex... | {
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} | # What does this PR do ?
Fix the issues when using megatron_amp_O2 on PEFT models
**Collection**: [Note which collection this PR will affect]
# Changelog
- Transform adapters to fp16/bf16 when the base model uses megatron_amp_O2. When using amp_O2 we should make model parameters in fp16/bf16. Previous PR #72... | {
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} | # What does this PR do ?
Move model precision copy to MegatronBaseModel to reduce boilerplate.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Remove `cfg.model.precision` = `cfg.trainer.precision` copy from several examples
- Set precision in `MegatronBaseModel` which all Megatron... | {
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} | # What does this PR do ?
It fixes a bug in `end_of_generation_condition()` (#7187) and makes it significantly faster in some cases.
**Collection**: nlp
# Changelog
- Fixed edge case that could make text generation stop earlier than intended
- Speed up text generation when using custom end strings
# Detai... | {
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} | # What does this PR do ?
A few minor fixes for the audio codec training recipe.
Most important, moving the zero_gradient() call back before the loss calculations. Having it after `optim_disc.step()` results in it saving discriminator gradients during the generator `self.manual_backward(loss_gen_all)` calculation ... | {
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```
# Install pynini-2.1.5 using Conda, required for text normalization
conda install -c conda-forge pynini
# Install Cython-0.29.36 / 3.0.0 manually
pip install cython
# Clone the NeMo-1.19.0 repo and install in development mode
git clone http... | {
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} | # What does this PR do ?
The motivation is to be able to override the text generation strategy when calling `MegatronGPTModel.generate()`.
It is passed as an explicit argument rather than through `**strategy_args` so as to ensure someone cannot accidentally pass other arguments that would end up being ignored.
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} | # What does this PR do ?
Add a finetuning script along with config file for finetuning existing nemo models.
**Collection**: ASR
# Changelog
- Added speech_to_text_finetune.py script
- Added speech_to_text_finetune.yaml config
- Jenkins run
- Doc strings
TODO:
* Update tutorial
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Fix resume from checkpoint behavior to have lower priority than experiment dir.
**Collection**: [Note which collection this PR will affect]
# Changelog
- resume from checkpoint behavior
- reorganize `check_resume` for prints
# Usage
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} | # What does this PR do ?
Adds comprehensive error messages for cases when input has wrong type
**Collection**: nlp
# Changelog
- Add a couple of error messages
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDI... | {
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} | # What does this PR do ?
Updates the tutorial to support IPA and adds an adapter IPA config.
**Collection**: [Note which collection this PR will affect]
TTS
**PR Type**:
- [ *] New Feature
- [ ] Bugfix
- [ *] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
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} | # What does this PR do ?
This PR ensures that the `sample_sequence_batch` function correctly handles the scenario where `all_probs` is set to `True` but `compute_logprob` is `False`.
Earlier the `full_logits` variable was not correctly initialized when the `all_probs=True` but `compute_logprob=False` causing a `... | {
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} | # What does this PR do ?
MlFlow is required for training and resuming runs from checkpoint. Currently, when the MlFlow logger is enabled in experiment manager it doesn't log model checkpoint as artifacts to MLFlow.
This PR simply adds one line to the `nemo.utils.loggers.MLFlowParams` to allow for logging checkpoint... | {
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MlFlow is required for training and resuming runs from checkpoint. Currently, when the MlFlow logger is enabled in experiment manager it doesn't log model checkpoint as artifacts to MLFlow
**Describe the solution you'd like**
One of the paramet... | {
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} | # What does this PR do ?
Sets a dummy class for type hinting when import is not found.
**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
```python
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Add support for tarred datasets in TTS
**Collection**: tts
# Changelog
- Add specific line by line info of high level changes in this PR.
Created and Iterative TarredTTSDataset class which inherits nemo.collections.asr.data.audio_to_text._TarredAudioToTextDataset.
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Add a one line overview of what this PR aims to accomplish.
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} | # What does this PR do ?
This PR:
1. Adds the multilingual models (stt_multilingual_fastconformer_hybrid_large_pc, stt_multilingual_fastconformer_hybrid_large_pc_blend_eu) to the pre-trained models catalog and ASR docs
2. Adds the FastConformer Hybrid FR, RU ASR models (stt_ru_fastconformer_hybrid_large_pc, stt_... | {
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} | # What does this PR do ?
Fix memory leak in utility used by `transcribe_speech.py` when transcribing partial audio segments, by moving logit tensor stored in results to CPU.
**Collection**: [ASR]
# Changelog
- Modify `transcribe_partial_audio` to move logits to CPU when when `logprobs=False`.
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Traceback (most recent call last):
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} | # What does this PR do ?
update language coverage matrix and refs for TN/ITN
**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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While we are training ASR model on nemo framework, we are able to track parameters and metrics with minimal inputs in the config.sh. But we are not able to track artifacts i.e. Nothing getting stored here.
**Describe the solution you'd like**
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Here is my code
```python
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} | null | null | null | Hi, I'm trying to train a bpe-level conformer and am facing overfitting.
In this regard, I have a few questions and I would be very grateful for the answers to them:
1) Have you encountered overfitting of the BPE conformer and BPE models in general?
2) Have you tried to experiment with char level vs bpe level mode... | {
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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 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
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} | # What does this PR do ?
This PR addresses:
1. Compatibility with added ModelParallelConfig configuration.
2. Adding to CI test for hidden transformations and Perceiver bottleneck models.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level ... | {
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Removing deprecated script from the CI.
**Collection**: [NLP]
# Changelog
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# Usage
* You can potentially add a usage example below
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# Add a code snippet demonstrating how to use this
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} | null | null | null | **Describe the bug**
Running `tutorials/tts/FastPitch_Finetuning.ipynb` on Colab get error on `import FastPitchModel`
**Steps/Code to reproduce bug**
```
[/usr/local/lib/python3.10/dist-packages/nemo/collections/nlp/modules/common/prompt_encoder.py](https://localhost:8080/#) in TPMLP()
138 def __init__... | {
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} | # What does this PR do ?
Temporary fix until pip package is released
**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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Hi,
I want to compare the SFT training convergence between bf16 and fp8.
So I am trying to do SFT training in NeMo using fp8 on a H100 GPU.
However, it reports an error during model initialization.
The error log file is in the attachment.
[sft_fp8.log](https://github.com/NVIDIA/NeMo/f... | {
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* Change middle tokenization logic from tokenization/detokenization to separate prompt template
* Add multiple contexts and truncation fields
* Add truncation augmentation
**Collection**: [Note which collection this PR will affect]
# Changelog
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Add single script for finetuning ASR models.
**Collection**: ASR
# Changelog
- Add script and config yaml file for finetuning
- TODO: Add tests and docs
# Usage
```python
# Add a code snippet demonstrating how to use this
```
# Before your PR is "Ready for review"
**Pr... | {
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} | - Add precision and megatron_amp_O2 parameters to adapters
- Make adapter modules follow the config of base model for precision and megatron_amp_O2
# What does this PR do ?
Make adapter modules follow the config of base model for precision and megatron_amp_O2
**Collection**: [Note which collection this PR wil... | {
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1. I want to add a kenLM trained model in order to solve some small erros related to missing characters/phonetically transcribed fore... | {
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} | * Add only parameters with requires_grad=True to the optimizer group
# What does this PR do ?
- Add only the parameters with requires_grad=True to the optimizer group and skip frozen parameters. This change can reduce memory usage.
**Collection**: [Note which collection this PR will affect]
# Changelog
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} | # What does this PR do ?
Install mcore commit in the Github Action. Can revert this when the next pip package for mcore is released.
**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 ?
Remove frozen parameters from the optimizer group of MegatronGPTPEFTModel
# Changelog
- Check the requires_grad attribute of the parameter and only add it to the optimizer group if `requires_grad=True`
# Before your PR is "Ready for review"
**Pre checks**:
- [x ] Make sure you read... | {
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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
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There are 2 problems with StatsPoolLayer
1. `biased` argument actually means unbiased (unbiased estimator uses N-1, instead of N)
https://github.com/NVIDIA/NeMo/blob/ab749e4401a3dcdfa5ea969347aaee20b7947c7c/nemo/collections/asr/parts/submodules/tdnn_attention.py#L35-L36
See PyTorch doc:... | {
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I am training a conformer-transducer medium model and on the validation set I reach `val_wer=0.0157-epoch=13.ckpt`, where val_wer is actualy ChER as i use `use_cer=True`. When I try to perform inference on the same validation set using speech_to_text_eval.py (greedy decoding like in training) an... | {
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The Apex install git version is out of Date.
https://github.com/NVIDIA/NeMo/blob/4833347105b5ec8526ae182cd2e1011b091ea89d/nemo/core/optim/distributed_adam.py#L19-L23
The file tried to load `_coalescing_manager_append_work` but the git version of Apex does not have this.
Code in Apex
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but it is used in the following line:
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**Describe the bug**
I am trying to:
1. Run two epochs:
```yaml
trainer:
max_epochs: 2
```
2. *but* stopping the experiment in the middle, then resuming it (due to clu... | {
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} | # What does this PR do ?
Make image centering in NFA README actually work
**Collection**: `tools/nemo_forced_aligner`
# Changelog
- fix align="center" in README
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
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Update documentation for NFA.
**Collection**: `tools/nemo_forced_aligner`
# Changelog
- Update NeMo README
- Update NFA README - add links to new materials, move most info to new NFA docs page
- Update links to NFA tutorials
# Usage
N/A
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} | # What does this PR do ?
Adding 2 blog posts: "Introducing NFA" and "How forced alignment works".
**Collection**: Blogs
# Changelog
- add blog posts
- add a new 'Install dependencies' stage containing `pip install mkdocs-video` to the `.github/workflows/gh-docs.yml` file
# Usage
N/A
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For tests that run pretraining and then resume (by re-running pretraining) and don't train for more steps after resuming, `val_check_interval` should be 1.
**Collection**: [Note which collection this PR will affect]
# Changelog
- set `trainer.val_check_interval=1` for several tests
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**Collection**: [Note which collection this PR will affect]
# Changelog
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# Usage
* You can potentially add a usage example below
```python
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} | # What does this PR do ?
Fix `inference.compute_attention_mask=True` if not using FA
**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 ?
It fixes `consumed_samples`, which was off by one batch
**Collection**: nlp
# Changelog
- Fix `consumed_samples`, which was off by one batch
# Before your PR is "Ready for review"
**Pre checks**:
- [X] Make sure you read and followed [Contributor guidelines](https://github.com/N... | {
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Add notebook tutorial for how to use NFA.
**Collection**: `tutorials/tools`
# Changelog
- Add new notebook.
# Usage
N/A
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/m... | {
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} | # What does this PR do ?
This change removes random selection when deciding to update the discriminator in the `AudioCodecModel`.
**Collection**: TTS
# Changelog
- Instead of using a random number, update the discriminator `disc_updates_per_period` times for every `disc_update_period` batches
- This fixes... | {
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Currently NFA breaks if there is a 'horizontal ellipses' character (`…`) in the text - specifically the 'restore punctuation' code breaks because it doesn't reconcile the single ellipses character with the 3 periods generated by the tokenizer. A quick for this is to just replace the ellipses w... | {
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} | # What does this PR do ?
Hongbin supported SFT/distOpt for Llama on nemo-mcore
**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 snip... | {
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After the first run of the "Installation", when trying to run it again, colab endlessly executes the line "import nemo.collections.asr as nemo_asr".
**Expected behavior**
Import all required modules in a normal period of time
**Environment details**
Free colab (Nvidia Tesla T4)
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Dear Team,
I am training conformer based SSL model where I have configured the parameters
min_duration : 3.2
patch_size: 16
mask_patches: 0.5
num_negatives: 40
sample_from_same_utterance_only: true
sample_from_non_masked: false
codebook_size: 300
num_groups: 2
num_classes: 90000
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Previously, we check `is_causal` for FA if we have `self.attn_mask_type == AttnMaskType.causal` and `s_q == s_k`. However, we may need causal self-attention for `s_q != s_k` if we have context parallelism proposed by @ksivaman . I change the condition `s_q == s_k` to `inference_mode` in orde... | {
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} | Case where sequence parallel=True, transformer engine=False, and bias=False
# 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.
# U... | {
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} | The removal of result dir after the test 'Megatron GPT with KERPLE Pretraining and Resume Training TP=2' was commented out by mistake that was leading to the next test using the checkpoint from this test. Hence rolling it back.
# What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
... | {
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} | # What does this PR do ?
Move code ported from EnCodec github into encodec_modules and add MIT Meta license to it.
https://github.com/facebookresearch/encodec/blob/main/LICENSE
**Collection**: [TTS]
# Changelog
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