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} | # What does this PR do ?
Modifies the `_reconfigure_val_batches` method in `MegatronBaseModel` to perform sanity steps equal to num of microbatches only when `num_sanity_val_steps` is not 0 so that user has the option to disable sanity checking by passing `num_sanity_val_steps=0`
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Add missing ubconf files
**Collection**: NLP
# Changelog
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# Usage
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```python
# Add a code snippet demonstrating how to use this
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} | # What does this PR do ?
Add dataset 'AISHELL-3' from OpenSLR for training FastPitch model.
# Changelog
- Add dataset 'AISHELL-3' from OpenSLR for training mandarin TTS
# Usage
1. create directories
```
mkdir data_aishell3 mani_aishell3 sup_aishell3
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# Changelog
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# Usage
* You can potentially add a usage example below
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} | # What does this PR do ?
Since loss_mask doesn't work for sequence parallel, we need to default it to False. Any config running sequence parallel will fail.
If you want to use loss_mask, set `+model.use_loss_mask=True`.
See #7395 for a proper fix.
**Collection**: NLP
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Fixes a bug where calling foward_only with `self.mcore=False `results in an error, for `MegatronGPTModel`
If we run self.mcore_gpt = False , and we also want to do just a forward pass without generation, the length of the batch is 3
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The optimizer `apex.distributed_fused_adam` is a high-performance adam optimizer implementation. It provides a bucket function to update the gradient aggregation to improve performance. However, bad bucket configuration can lead to GB-level memory loss. This PR realizes the automatic search ... | {
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When running `tutorials/asr/Online_Offline_Speech_Commands_Demo.ipynb` in Google Colab, it failed at the last code block because of lacking package `einops`:
So add a ... | {
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When running `tutorials/asr/Online_Offline_Speech_Commands_Demo.ipynb` in Google Colab, it failed to install `pyaudio` and the following step `import pyaudio as pa` break.
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} | # What does this PR do ?
When you do not enable mcore or use loss mask, sequence parallel will not work properly. This PR fixes this problem.
**Collection**: NLP
# Changelog
- Modify post_language_model_processing to make sequence-parallel and loss-mask compatible.
- Mark the parameters of layernorms with s... | {
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} | # What does this PR do ?
Fix some bugs related to `cfg.precision`.
**Collection**: [Note which collection this PR will affect]
# Changelog
- use `self.cfg.precision` instead of `cfg.precision` in bert model
- use `self.torch_dtype` instead of `self.cfg.precision` where applicable
# 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
```python
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# What does this PR do ?
This PR is to update information for new jp-JP ITN support.
Add a one line overview of what this PR aims to accomplish.
To update the chart/table where the languages with support are listed.
**Collection**: [Note which collection this PR will affect]
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Pass knob to enable SHARP to M-Core
# 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 demonstrating how to use this
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I follow the sample code in [NGC](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo/models/tts_zh_fastpitch_hifigan_sfspeech) to generate chinese TTS audio
but get a bed result
I also try other models (e.g. english, german and spanish), but it works fine
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Add a one line overview of what this PR aims to accomplish.
This is a temp fix before PEFT refactor. (I wrote similar logic in #7308 )
**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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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 ?
Adds support for bias conversion in TP PP Script for swiglu supported modls
**Collection**: [NLP]
# 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... | {
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} | # What does this PR do ?
Converts UL2. dataset to use GPT baseclass
**Collection**: [NLP]
**PR Type**:
- [x] New Feature
- [ ] Bugfix
- [ ] Documentation
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} | # What does this PR do ?
This PR adds an option to log artifacts before fit starts, for log input data only once.
**Collection**: TTS
# Changelog
- Adds `initial_log` to `ArtifactGenerator::generate_artifacts`
- Adds `_log_artifacts` to `LoggingCallback`
- Adds `on_fit_start` to `LoggingCallback`
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In megatron_change_num_partitions.py there is dedicated code to handle splitting some layers with fast GLU activations:
* https://github.com/NVIDIA/NeMo/blob/c5ef26cafa935f9966ab3f074248913aef7fa509/examples/nlp/language_modeling/megatron_change_num_partitions.py#L236
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Fixes the megatron_gpt_peft_eval.py script.
Fix megatron_gpt_peft_eval.py.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Use MegatronGPTPEFTModel instead of MegatronGPTSFTModel when PEFT modules exist.
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} | # What does this PR do ?
RNN-T confidence and alignment bugfix.
Fixes https://github.com/NVIDIA/NeMo/issues/7192
**Collection**: [Note which collection this PR will affect]
ASR
# Changelog
- New `frame_confidence` and `alignments` lists are now always created after the while loop.
# Usage
* You can p... | {
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Hi, I am trying to use a latest PyTorch (build from source from the master branch). But when I run the NeMo training script, I meet with the following error:
```
File "/usr/local/lib/python3.10/dist-packages/apex/contrib/optimizers/distributed_fused_adam.py", line 1602, in _local_grad_norm
... | {
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} | # What does this PR do ?
Adding MoE parameter passing for BERT model.
**Collection**: NLP/Language Models/BERT
# Changelog
- `bert_model.py` adding MoE parameters, passing them to `language_model`
- `megatron_bert_model.py` adding and passing MoE parameters
- `language_model.py` adding and passing MoE para... | {
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} | # What does this PR do ?
When following the [document](https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/main/tts/datasets.html#sfspeech-chinese-english-bilingual-speech) to get dataset `SFSpeech Chinese/English Bilingual Speech`, the first command
```bash
python scripts/dataset_processing/tts/sfbilingu... | {
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} | # What does this PR do ?
When running notebook `tutorials/asr/Online_Offline_Speech_Commands_Demo.ipynb` of `main` branch in the Google Colab, it will report the error:
```
TypeError Traceback (most recent call last)
[<ipython-input-18-1dea7463f5dd>](https://localhost:8080/#) in <c... | {
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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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Most classes in the audio codec code had input_type() and output_type() parameters but were missing the typecheck() annotation on the forward() method to enforce them.
This commit adds the typecheck() to all relevant forward() methods and fixes their corresponding type annotations.
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add kwargs and model_parallel_config for ParallelAdaptersWeightTying class.
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# Changelog
- Add specific line by line info of high level changes in this PR.
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Update to core 23.08 branch ToT
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2.0.8 introduces an issue with the progress bar when using max_steps
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- 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]
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Revert the commented line.
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# 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.
intermediate output tensor is [s,b,h] while the final output is [b,s,h]
**Collection**: [Note which collection this PR will affect]
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When following the [document](https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/main/tts/datasets.html#sfspeech-chinese-english-bilingual-speech) to get dataset `SFSpeech Chinese/English Bilingual Speech`, the first command
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} | # What does this PR do ?
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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 ?
https://github.com/NVIDIA/apex/pull/1721 adds distributed optimizer support for multiple dtypes for the grad reduce-scatters and param all-gathers. This has two main applications in NeMo:
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} | # What does this PR do ?
Add an option to run amp O2 in gpt_eval/inference
**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 ?
Optionally, if state_dict contains tensors in the model's buffers, load them as well.
**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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Change neural type of `tokens` from `Index` to `TokenIndex`
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# Before your PR is "Ready for review"
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} | # What does this PR do ?
Mcore maintains both weights of embedding and output layers. When share_embeddings_and_output_weights=true, weight of output layer is not registered as _with_fp32_optimizer, then the [allreduce](https://github.com/NVIDIA/NeMo/blob/main/nemo/collections/nlp/models/language_modeling/megatron_g... | {
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Error response from daemon: Get https://nvcr.io/v2/: net/http: request canceled while waiting for connection (Client.Timeout exceeded while awaiting headers)
How can i sovle this problem ? | {
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} | # What does this PR do ?
Upgrading to the latest PyTorch container.
**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 demonst... | {
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} | # What does this PR do ?
This PR fixes memory deallocation for indexed_dataset when dataset is first created (currently it happens only when loaded).
Thanks to @hillst for finding the bug!
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level ... | {
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When training on a single node, multi-gpu setup using SLURM, there's a warning that pops up that I cannot figure out:
```
[W socket.cpp:601] [c10d] The client socket has failed to connect to [ip-26-0-146-37]:22456 (errno: 22 - Invalid argument).
```
**Steps/Code to reproduce bug**
Using... | {
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I loaded model using the below code.
```import nemo.collections.asr as nemo_asr
asr_model = nemo_asr.models.EncDecHybridRNNTCTCBPEModel.from_pretrained(model_name="stt_en_fastconformer_hybrid_large_pc")
```
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cannot import name 'JobStatus' from 'hydra.core.utils'.
I have cloned Nemo git repository on my vm instance and am trying to resolve this import issue
**Execute Fastpitch_fintetune.ipynb in import cell**
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I am also interested if beam search + n-gram modelling for rnnt supports timestamp extraction/confidence estimate for words?
Thank you in advance!! | {
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Basically I want to provide 2 wav files as input and have the output be a single wav file that contains the speech from one file with the voice from the other file.
I went through the documentati... | {
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It is not possible to install the requirements of the NLP component because the fasttext wheel cannot be build any more. However, there is a fork called fasttext-wheel that can be installed with pip. I have tested it extensively and it works with NeMo
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Save_to a .nemo file with distributed checkpoint and restore_from a .nemo file with dist ckpt.
This makes it so that, for example, eval can be done with different model parallel configs on the fly.
**Collection**: NLP
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Remove apex, trainer, torch.distributed dependencies when run inference on single gpu.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
A demo colab:
https://colab.research.google.c... | {
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} | # What does this PR do ?
Fixes broken configs (PTL 2.0): move parameter `resume_from_checkpoint` to `exp_manager`, as implemented in #7159
**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 bf16 inference support and fix seq_len stft issue
**Collection**: ASR
# Changelog
- torch.floor_divide will make sure to not go into round off issues at higher precisions
- add support for amp_dtype during transcribing
# Usage
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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 ?
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
- disable `TRANSFORMERS_OFFLINE` for some tests that were... | {
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} | # What does this PR do ?
Fix issue related to this PR https://github.com/NVIDIA/NeMo/pull/7200/
**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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} | null | null | null | I tried to run the colab notebook from the stable realse(`BRANCH='r1.20.0'`):https://colab.research.google.com/github/NVIDIA/NeMo/blob/stable/tutorials/nlp/Token_Classification_Named_Entity_Recognition.ipynb
On the step for initializing the model:
```
model_ner = nemo_nlp.models.TokenClassificationModel(cfg=config.m... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/7332 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/7332/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/7332/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/7332/events | https://github.com/NVIDIA/NeMo/pull/7332 | 1,869,751,614 | PR_kwDOC_bI7s5Y7z95 | 7,332 | adding bias_dropout_add_fusion option for BERT | {
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} | # What does this PR do ?
Adding an option to disable `bias_dropout_add_fusion`, same as for GPT model [here](https://github.com/NVIDIA/NeMo/blob/455d2dfb3479cd30a7857db3c2e2864a921488b8/nemo/collections/nlp/models/language_modeling/megatron_gpt_model.py#L362)
**Collection**: Language Modeling -> BERT
# Changel... | {
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} | null | null | null | **Describe the bug**
tried to run: NeMo/tutorials/00_NeMo_Primer.ipynb
got error message after this command:
import nemo.collections.asr as nemo_asr
**Environment details**
environment: jetson agx orin, jetpack 5.1.2, in a docker: [dustynv/nemo:r35.3.1](https://hub.docker.com/r/dustynv/nemo/tags)
[error... | {
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} | # What does this PR do ?
Add a new "cv" branch for lip reading task and everything related to computer vision
**Collection**: cv
# Changelog
- new cv branch
- 6 new cv models in cv/models: VisualEncDecCTCModelBPE, VisualEncDecCTCModel, VisualEncDecHybridRNNTCTCBPEModel, VisualEncDecHybridRNNTCTCModel, Visua... | {
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} | null | null | null | **Description**
While using NeMo in google golab in CPU mode the GPU spike to 100% never comes down. the same issue is in the TPU mode Also the RAM spiked to 100%
**Steps to reproduce bug**
Try to run this collab file, the same issue will be seen
````
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} | # What does this PR do ?
Run tests after what is failing on main
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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check other tests after what is currently failing on main
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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allow for selective unfreeze of PEFT params. Useful for continued training of PEFT.
**Collection**: [NLP]
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# Usage
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O2=True changes the names of the expected keys after merging.
**Collection**: [NLP]
# Changelog
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# Usage
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Add some configuration to TTS preprocessing to make them more usable.
Most important, adding `batch_size` to text normalization multi-processing which I have found to make it about 10x faster than using the default 'auto' batch size in joblib. I do not fully understand why, but the docume... | {
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1) Catch the end of `dataloader_iter` to exit gracefully from `validation_step` without having to prefetch all `microbatches` in a step which was being done previously. This is a temporary piece of code that is needed until we have lightning's fix that takes care of catching the end of `dat... | {
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This PR adds a multichannel mask estimator which can process flexible number of channels.
It also fixes some bugs related to PTL 2.0 and librosa version.
**Collection**: ASR
# Changelog
- added example config `beamforming_flex_channels.yaml`
- add `max_utts` `process_audio.py`
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```
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
in
----> 1 import nemo.collections.asr as nemo_asr
2
3 asr_models = [model for model in dir(nemo_asr.models) if model.en... | {
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Adding class `CSVFieldsMemmapDataset `
**Collection**: [Note which collection this PR will affect]
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The tutorial links in https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/stable/starthere/tutorials.html are not working for the TTS stuff like Fastpitch. There are also bugs in the code of some of the jupyternotebooks. The code in the ngc models for the tutorials also does not work if... | {
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**Collection**: [Note which collection this PR will affect]
# Changelog
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**Collection**: TTS
# Changelog
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https://api.github.com/repos/NVIDIA/NeMo/issues/7309 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/7309/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/7309/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/7309/events | https://github.com/NVIDIA/NeMo/issues/7309 | 1,864,287,153 | I_kwDOC_bI7s5vHsOx | 7,309 | "get_commonvoice_data.py" is still work? | {
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} | null | null | null | Hi,
When I follow the tutorial "ASR_CTC_Language-Finetuning. ipynb" on Colab(https://colab.research.google.com/github/NVIDIA/NeMo/blob/stable/tutorials/asr/ASR_CTC_Language_Finetuning.ipynb),
I found this tutorial a bit outdated, so I tried to modify this line of code
```
VERSION="cv corpus 6.1-2020-12-11"
LANGU... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/7308 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/7308/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/7308/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/7308/events | https://github.com/NVIDIA/NeMo/pull/7308 | 1,863,976,548 | PR_kwDOC_bI7s5YodsT | 7,308 | PEFT GPT & T5 Refactor | {
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... | closed | false | null | [] | null | null | 2023-08-23T20:36:55 | 2023-09-28T17:12:57 | 2023-09-28T17:12:55 | COLLABORATOR | {
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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
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https://api.github.com/repos/NVIDIA/NeMo/issues/7307 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/7307/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/7307/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/7307/events | https://github.com/NVIDIA/NeMo/pull/7307 | 1,863,936,103 | PR_kwDOC_bI7s5YoU8m | 7,307 | Add Semi Sorted batch sampler (SSB). | {
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... | closed | false | null | [] | null | null | 2023-08-23T20:02:51 | 2024-03-05T12:56:52 | 2024-03-05T12:48:56 | CONTRIBUTOR | {
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} | # What does this PR do ?
**Helps to speed up ASR models training without quality degradation.**
The experiments below showed a **19-12% training speed up with the same quality** for the some models.
**Collection**: ASR, core
# Changelog
- `nemo/collections/asr/parts/utils/asr_batching.py`
Add a sem... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/7306 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/7306/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/7306/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/7306/events | https://github.com/NVIDIA/NeMo/pull/7306 | 1,863,905,518 | PR_kwDOC_bI7s5YoOX8 | 7,306 | Fix precision for PTL 2.0 in ModelParallelConfig | {
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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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