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Speech Translation model based on Conformer encoder and Transformer encoder added to upstream.
**Collection**: ASR, TTS, NLP
# Changelog
- Added ConformerEnc+TransformerDec model to ASR
- Support for mixed speech-to-text and text-to-text (with TTS) training
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- p-tune
- ia3
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} | # What does this PR do ?
The order of outputs of `dict.values()` is usually shuffled so that the tokenizer and the model will be confused to match a correct sound for a specific integer index. You can tell the diff in between as below,
**CTC Training Loss Curves**
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NeMo installation fails with Python >=3.9 because `youtokentome` does not properly specify it's build dependency on `cython`. See this issue [in their repo.](https://github.com/VKCOM/YouTokenToMe/issues/94). There is also [a PR](https://github.com/VKCOM/YouTokenToMe/pull/108) on that repo to fix... | {
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} | # What does this PR do ?
Use several random samples for long files
**Collection**: ASR
# Changelog
Added parameters:
- segment_duration (float): random sample duration in seconds
- num_segments (int): number of segments of file to use for majority vote
# Usage
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} | # What does this PR do ?
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} | # What does this PR do ?
When we cannot find `self.monitor` in `checkpoint`, `checkpoint.find(self.monitor)` should be -1 so `index` should be `len(self.monitor)` according to L98.
With the current code, checkpoints such as `mp_rank_00_model_weights.ckpt` would go to the True condition and cause an error in Line ... | {
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} | # What does this PR do ?
Adds API documentation.
**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
# Add a code snippet demonstrating how to use this
```
# Before your PR is "Ready ... | {
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Since I can not pinpoint from where the issue arises, I am posting here as well.
Trying to deploy a nemo NMT AAYN model buil... | {
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} | null | null | null | Hello everyone,
I'm working with speaker diarization to identify 2 or more speakers in the same audio. When I try that returns the same results, something like 2 speaker in a audio when have 3.
For that I using Neural Diarizer with titanet_large or my own model to speaker_embedding and 'diar_msdd_telephonic' to mss... | {
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With the recent PR adding support for the MPT-7b model, I was wondering if someone has figured out how to work with LLaMa-type models, such as Vicuna
**Describe the solution you'd like**
A solution similar to this PR for LLaMa-type models
htt... | {
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The bug is at a random interval we will suddenly get file not found or is not directory temp_outputs/pred_rttms/mono_file.rttm
Will work just fine hundreds of times and will randomly throw this.
**Steps/Code to reproduce bug**
Deploy as normal, using whisper + diarization (https://github.... | {
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I want to use thutmose itn model in c++ environment | {
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} | # What does this PR do ?
This is required when the number of samples is very small compared to the batch size. The magnitude of the negative index can be greater than the sample index array.
**Collection**: [Note which collection this PR will affect]
# Changelog
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Fix typo in core.rst.
# Changelog
- Fix typo in core.rst
**PR Type**:
- [ ] New Feature
- [ ] Bugfix
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Talk Net 2 was deprecated but no comparable model took its place.
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} | # What does this PR do ?
Fix some text in FC post
**Collection**: [Docs]
# 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... | {
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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 ?
Adds a short section on sharded manifests in the docs
**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
```python
# Add a code snippet demonstrating how to use this
``... | {
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} | # What does this PR do ?
Add FC-XL RNNT and CTC models, FC-XXL (1.1 B) transducer model and TitaNet-S model
**Collection**: ASR
# Changelog
- Add pre trained models to code
- Add to docs
- Add FC configs
# Usage
```python
# FC Transducer BPE models
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} | # What does this PR do ?
Add GH post for Fast Conformer
**Collection**: [ASR]
# Changelog
- Adds blogpost for fast conformer
- Fixes issue with the font not loading
- removes mathjax file when supported from CDN
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and foll... | {
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Makes sharded manifests default for train dataloader in ASR config files
**Collection**: ASR
# Changelog
Adding these flags to the train_ds section of config files:
shard_manifests: False
defer_setup: False
# Usage
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} | # What does this PR do ?
Adds upperbound to Numpy temporarily.
Related Issue : https://github.com/NVIDIA/NeMo/issues/6824
**Collection**: [Core]
# 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/CONT... | {
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Adds [limited] support for runtime concatenation of samples
**Collection**: ASR
# Changelog
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The Dockerfile contains the following command to build apex
```
# TODO: Remove once this Apex commit (2/24/23) is included in PyTorch
# container
RUN git clone https://github.com/NVIDIA/apex.git && \
cd apex && \
git checkout 57057e2fcf1c084c0fcc818f55c0ff6ea1b24ae2 && \
pip3 inst... | {
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Numpy has deprecated several type alias' in 1.24 (https://numpy.org/devdocs/release/1.24.0-notes.html)
NeMo requires `numpy>=1.22`, meaning a clean installation results in 1.24.3 at the time of writing
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When using Nemo 1.18.1 to fine tune hifigan, I can't continue at this step, and the number in the error message is different every time. After adjusting according to the fine-tuning of fastpitch, some iussues mentioned the sampling rate issue and also adjusted the sampling rate, but the result sti... | {
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Enables an example of calling trainer.validate with GPT.
**Collection**: NLP
# Changelog
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add reference to our SpellMapper paper on arxiv
**Collection**: [Note which collection this PR will affect]
# Changelog
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Update core version in Jenkinsfile
**Collection**: [Note which collection this PR will affect]
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Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
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Update core version in Jenkinsfile
**Collection**: [Note which collection this PR will affect]
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} | # What does this PR do ?
Attention matrix optional, cherry picked from https://github.com/NVIDIA/NeMo/pull/6788/files
**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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I need to use _speaker diarization_ in a pipeline with ASR for Slovenian language. For the speech recognition I use a highly accurate `CTC Conformer` model.
At first, I tried to employ pre-trained `titanet-large` and `diar_msdd_telephonic` models for clustering and neural diarization, respectively. But re... | {
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} | # What does this PR do ?
Fix TP-comm overlap with userbuffer, where validation step precedes a training step.
# Changelog
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# Usage
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This PR enables speaker diarization on long audio files (even +4 hours) without running out of memory. Only one long audio file is accepted for the moment, because this is the use case I needed, but it can easily be made to accept multiple audios. (It was tested mainly on CPU, so some argume... | {
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Fix TP-comm overlap with userbuffer, where validation step precedes a training step.
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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Add configuration to TTS aligner which uses scaled cosine distance instead of euclidean distance.
**Collection**: [TTS]
# Changelog
- Add code for cosine distance based alignment
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contri... | {
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**Collection**: [Note which collection this PR will affect]
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Adds changes to Megatron GPT which supports the MPT-7B architecture
**Collection**: NLP
# Changelog
- nemo/collections/nlp/models/language_modeling/megatron/gpt_model.py
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fix spellmapper tutorial, change branch to main, small fix in markup syntax
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Bug fix
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# 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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Fixes an assert in the GPTDataset
**Collection**: [Note which collection this PR will affect]
# Changelog
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# Usage
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} | # What does this PR do ?
1. Fixed consumed samples calculation for changeable batch size.
2. Changed ramp up bs feature in order to use it with changeable number of nodes duriong training:
- Deleted unnecessary assertions for ramp up batch size.
- Added trainer stop flag in order to do validation and ... | {
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Fixes an assert in the GPTDataset
**Collection**: [Note which collection this PR will affect]
# Changelog
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# Usage
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} | null | null | null | For Conformer setups, does NeMo support / recommend padding batches after frontend to a certain multiple, e.g. so that after Conformer input batch time dimension is e.g. a multiple of 32 (which may suit best cudnn / gemm kernels for fp16/TensorCores)
Having batches of a few fixed shapes also benefits pytorch allocat... | {
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https://github.com/NVIDIA/NeMo/blob/cfbe0924db02a1a557aeeea55cc1a01b83903e71/nemo/utils/callbacks/nemo_model_checkpoint.py#L98-L99
I think Line 99 should be
```python
if index != len(self.monitor):
``` | {
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} | # What does this PR do ?
Enables an example of calling trainer.validate with GPT.
**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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* prevented showing such warning message every time when loading the library. Instead, only show such message when the function wrapped with `@expeirmental` is actually invoked. This fix could make our logging message more concise. For example, for the class `IpaG2p`,
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Add (1) interfaces to TE and initialized (2) process group setting to support tensor-parallel communication overlap with userbuffer backend.
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
Set `ub_tp_comm_overlap` to `True`
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Debugs Transformer Engine FP8 support with Megatron-core infrastructure
**Collection**: NLP
# Changelog
- Construct FP8 amax reduction group
# Usage
Set `transformer_engine: True` and `fp8: True` in the config.
# Before your PR is "Ready for review"
**Pre checks**:
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This adds the ability to use LDDL dataloaders in Nemo FW
**Collection**: [NLP, NemoFW
# 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]
# Changelog
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# Usage
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* merged main
* make computing full logprobs matrix during inference optional
* make computing attention matrix during inference optional (to save memory if used with FA)
**Collection**: [Note which collection this PR will affect]
# Changelog
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} | # What does this PR do ?
When using fused_adam, self._optimizer.get_parameters() was returning an empty list.
**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 call to p2p overlap
**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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Add (1) interfaces to TE and initialized (2) process group setting to support tensor-parallel communication overlap with userbuffer backend.
# Changelog
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# Usage
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add call to p2p overlap
**Collection**: NLP
# Changelog
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# Usage
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Fix URL
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Fix URL
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Fix adapter tutorial to compatible with latest pre-traiend FastPitch checkpoint
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} | # What does this PR do ?
Minor fix that stops `MaskedSpecAug` from overestimating sampling populations.
Add a one line overview of what this PR aims to accomplish.
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Updates `label_models` with new LangID model (PearlNet) for ICASSP.
**Collection**: [Note which collection this PR will affect]
ASR
# Changelog
- Added new ngc import to `list_available_models`
# Usage
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} | # What does this PR do ?
make text_generation_utils.py more memory efficient for inference especially for long context sequences
* by making logprob computation optional
**Collection**: nlp
# Changelog
- change peft eval model class for restoring to MegatronGPTSFTModel, since NLPModel does not have _build_... | {
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**Collection**: [Note which collection this PR will affect]
ASR
# Changelog
- Added new ngc model to `label_models.list_available_models`
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Fixes checkpointed forward and changes GPT TP test to use activation recomputation for 1 layer instead of SAR
**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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} | # What does this PR do ?
Fixes sequence parallelism reset function to set the value to False instead of None.
**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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I followed the recipe for [multi-speaker pretraining ](https://github.com/NVIDIA/NeMo/blob/main/tutorials/tts/FastPitch_MultiSpeaker_Pretraining.ipynb) to train the fastpitch model for 2 speaker dataset (indictts). But even after training about 4000 epochs, the model is unable to differentiate between the two... | {
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Fixes issue #6715 by creating index files on all processes with local_rank 0.
**Collection**: NLP
# Changelog
- Update rank condition to create index files when local_rank is 0 (formerly when global_rank was 0).
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**Collection**: [Note which collection this PR will affect]
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} | # What does this PR do ?
When using fused_adam, self._optimizer.get_parameters() was returning an empty list.
**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 support for max_total_length=4096 for 43b customization
**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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} | # What does this PR do ?
Currently the arguments for fast tokenizer are not properly passed through so it cannot be used
**Collection**: [NLP]
# Changelog
This PR just properly passes the use_fast argument
# Usage
use_fast: True in the config
**PR Type**:
- [ ] Bugfix
## Who can review?
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} | # What does this PR do ?
This adds the ability to use LDDL dataloaders in Nemo FW
**Collection**: [NLP, NemoFW
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
add LDDL as dataloader in config. Instructions will be added to the Megatron Launcher for data prep and u... | {
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} | null | null | null | Hello, I have exported the marblenet vad model to onnx using the https://github.com/NVIDIA/NeMo/blob/stable/tutorials/asr/Online_Offline_Microphone_VAD_Demo.ipynb tutorial.
Unfortunately, when I try to replicate the steps for the titanet model in the _extract_embeddings function, but it doesn't work.
Is there ... | {
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} | null | null | null | Hi,
I tried to apply the code in your notebook called (Online_ASR_Microphone_Demo.ipynb) [link](https://github.com/NVIDIA/NeMo/blob/main/tutorials/asr/Online_ASR_Microphone_Demo.ipynb)
it works fine when using the same model in the notebook ('QuartzNet15x5Base-En')
using this code :
`asr_model = nemo_asr.model... | {
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} | null | null | null | Hello, I'm training TitaNet from scratch using voxceleb 1 and 2 with another private dataset, while the training is fast 6it/s on a dual 3090 setup the valitadion step takes 2200s/it. It happens using all the labels and also with a limited set of labels (1024), or even with an4 dataset.
**Steps/Code to reproduce bug... | {
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} | # What does this PR do ?
Fixes sequence parallelism reset function to set the value to False instead of None.
**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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Fixes bug to reset/restore act ckpt in GPT models.
**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 line](https://github.com/NVIDIA/NeMo/blob/372f519ddba0c57272d190d83eaa3169ff6f3488/nemo/collections/asr/parts/utils/vad_utils.py#L1077) uses only `.wav` to split filepaths to create filenames. However if the files are not `.wav`, this will still run, but with wrong file names which causes ... | {
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Fixes bug to reset/restore act ckpt in GPT models.
**Collection**: [Note which collection this PR will affect]
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# Usage
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Fixes activation checkpointing restore/reset parameters.
**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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Adds documentation on the use of sharded manifests
**Collection**: ASR
# Changelog
- `docs/source/asr/datasets.rst` changed to add the docs
# Usage
* You can potentially add a usage example below
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Hey, I'm new to NeMo library, I want to do speaker diarization without ground truth (unsupervised), but I didn't manage to get the speaker diarization. I followed your speaker diarization tutorial here:
https://colab.research.google.com/github/NVIDIA/NeMo/blob/stable/tutorials/speaker_tasks/Sp... | {
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Training FastPitch on a 25k samples dataset using 8 A100 GPUs results in the following error:
```
Traceback (most recent call last):
File "/workspace/scripts/train/fastpitch.py", line 21, in <module>
run(main)
File "/miniconda/lib/python3.9/site-packages/typer/main.py", line 1056, i... | {
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paper v1: https://arxiv.org/abs/2205.04421
paper v2: https://arxiv.org/abs/2304.09116 | {
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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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Fixes checkpointed forward and changes GPT TP test to use activation recomputation for 1 layer instead of SAR
**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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