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Importing `nemo.collections.asr` throws a segmentation fault.
**Steps/Code to reproduce bug**
Install NeMo in a fresh conda environment as per the instructions on the README.md: https://github.com/NVIDIA/NeMo#installation
<details>
<summary> Packages </summary>
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Generalize dist Adam support for GPT-3 to T5 and other Megatron-LM models.
**Collection**: NLP
# Changelog
- When params are BF16, distributed Adam will store 16-bit param remainders instead of FP32 main params
- Decouples distributed Adam support from Megatron O2-level optizations
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Gives the user the ability to specify separate train,test and validation datasets as a dictionary in data_prefix for gpt model
**Collection**: nlp/language_modelling
# Changelog
- Supports dictionary format in data_prefix for megatron gpt config file.
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- Supports dictionary format in data_prefix for megatron gpt config file.
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https://github.com/NVIDIA/apex/pull/1463 adds an option to the distributed Adam optimizer that reduces memory usage for BF16 models. Instead of storing FP32 main params in the optimizer, we can just store 16-bit param remainders and reconstruct the FP32 main params from the BF16 model params... | {
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Hi, I'm new to nemo system.
I have no idea why my program stops at "generating predictions with overlapping input segments".
```
[NeMo I 2022-08-23 15:08:22 features:200] PADDING: 16
[NeMo I 2022-08-23 15:08:23 label_models:100] loss is Angular Softmax
[NeMo I 2022-08-23 15:08:23 save_res... | {
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} | # What does this PR do ?
Update Megatron LM Encoder Decoder to maintain compatibility with python 3.7 to enable notebooks to run on Colab
**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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# What does this PR do ?
Sets the number of data workers to 0 for validation and test sets for all encoder-decoder models to sidestep a strange CUDA error.
NOTE: This is not a permanent solution and just a temporary fix.
**Collection**: NLP
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# What does this PR do ?
Introduce a experimental implementation of a generic IPA tokenizer using phonemizer/eSpeak for text normalization & G2P.
You can still optionally use NeMo text normalizer as well by providing it in the config or putting the text through it pri... | {
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} | Signed-off-by: ericharper <complex451@gmail.com>
# 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... | {
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**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
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} | # What does this PR do ?
Closes #4772
**Collection**: NLP
# Changelog
- Fix logger reference in `text_memmap_dataset.py`
# 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)
- [ ]... | {
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} | null | null | null | Hi,
I'm new in ASR and want to know the best model architecture or recipe to meet my requirement.
I'm looking a model that can servers:
1. Streaming ASR with minimum latency.
2. SOTA accuracy in generic domain with decent amount of data (1-4K hours).
3. Can handle good throughput in streaming. | {
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} | # What does this PR do ?
* Adds scripts for synthetic code-switched data generation for ASR
* Adds the En-Es code-switched ASR models (stt_enes_conformer_transducer_large_codesw and stt_enes_conformer_ctc_large_codesw)
**Collection**: ASR
# Changelog
- Lines 537 - 543 in nemo/collections/asr/models/ctc_bpe... | {
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} | # What does this PR do ?
This PR amends the start time for the last token in RNNT decoding because the code aggregates (inclusively) since the previous_token_index all tokens in the current word. This has tripped me up in my own implementations of similar code external to NeMo in the past. My apologies for not catch... | {
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# What does this PR do ?
Fixes two bugs recently introduced into the TTS data loader initialization.
1. When pynini is not installed, then Normalizer = None. This causes `isinstance(self.text_normalizer, Normalizer)` to throw an exception.
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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.
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} | # What does this PR do ?
Fixes another observed edge case for the final word in RNNT word timestamps
**Collection**: ASR
# Changelog
- the last word in rnnt decoding for a segment may contain multiple tokens, but the data model for how these were aggregated
# Before your PR is "Ready for review"
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# What does this PR do ?
Fixes formatting error introduced in previous PR
**Collection**: TTS
# Changelog
- Missing comma led to failure to parse the notebook
**PR Type**:
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- [x] Bugfix
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Fix restoring issue with PTL 1.7
**Collection**: Core
# Changelog
Move all non-zero rank value checkpoints to rank 0 checkpoints before restoring.
**PR Type**:
- [ ] New Feature
- [x] Bugfix
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Adds conditional logic to rnnt_wer to check if arrays exist and have elements before accessing them. This error occasionally blocks transcription.
**Collection**: ASR
# Changelog
Bug fix for transcription with rnnt sentencepiece tokens
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Hi,
I have just found a broken link to a notebook in this page: https://docs.nvidia.com/deeplearning/nemo/best-practices/index.html
In the "Table 1. Tutorials", the "Question answering with SQuAD" notebook link is broken.
Instead of:
https://colab.research.google.com/github/NVIDIA/NeMo... | {
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I am using a pre-trained Conformer Transducer and want to initialize an optimizer and an LR scheduler using its method `setup_optimization`, which returns the optimizer and the LR scheduler.
The problem I am having is that the ASR model's method `setup_optimization` method requires `max_steps... | {
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} | # What does this PR do ?
Creates online data simulation in NeMo dataloader for training diarization models
**Collection**: [Note which collection this PR will affect]
ASR
# Changelog
- Add SyntheticDataloader class
- Add AudioToSpeechMSDDSyntheticTrainDataset class
- Modified msdd_models.py for online s... | {
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https://github.com/NVIDIA/NeMo/blob/6abfbbfda654f44313068b950edb0f70b01449b1/nemo/collections/nlp/data/language_modeling/text_memmap_dataset.py#L157
I believe this should be switched to `logging`, which is used throughout the rest of the module. | {
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} | # What does this PR do ?
Fixes the following things for T5 prompt-learning:
1. T5 models with RPE.
2. Models trained with asymmetric enc-dec configurations where hidden size is present in cfg.encoder.hidden_size.
3. Aligns config variables names with the GPT prompt learning config.
**Collection**: NLP
# 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.
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# What does this PR do ?
Fixes the use of `self.log()` inside `configure_gradient_clipping` in `megatron_base_model.py`.
**Collection**: NLP
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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# What does this PR do ?
Merges the existing NeMo CMUdict with a version of 0.7b with added entries.
**Collection**: TTS
# Changelog
- Added entries from https://github.com/Alexir/CMUdict/blob/master/cmudict-0.7b
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Execution cell:
```
assert isinstance(spec_gen, SpectrogramGenerator)
if isinstance(spec_gen, FastPitchModel):
tokens = spec_gen.parse(s... | {
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# What does this PR do ?
There are issues with PTL 1.7.2 on megatron scripts, meanwhile, upper bound to 1.7.1
**Collection**: Core
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} | # What does this PR do ?
Adds Exponential Moving Average (EMA) support. We've seen promising results in reducing training times to reach convergence.
Things to do:
- [x] Capture speed degradation using the EMA callback.
There is practically none when the EMA weights are already on CUDA. Below are convergenc... | {
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**Collection**: [Note which collection this PR will affect]
# Changelog
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} | # What does this PR do ?
Fix joint intent slot classification tutorial
**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
```
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# What does this PR do ?
Pin min version for PTL 1.7.2 and remove patch due to .to(cuda) issue with earlier versions.
**Collection**: Core
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor gui... | {
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Signed-off-by: Ameya Mahabaleshwarkar <ameyasm1154@gmail.com>
# What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
**Collection**: nlp
# Changelog
- Added a data processor for a custom dataset for the DialogueS2SGenerationModel.
# Usage
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# What does this PR do ?
Fixes NLPModel's `load_from_checkpoint` because PTL changed `_load_model_state` in 1.7.1.
**Collection**: NLP
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- Add specific line by line info of high level changes in this PR.
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# What does this PR do ?
Updates prompt learning documentation paths and updates some parts of the prompt learning documentation. Addressing https://nvbugs/3748879 [ML-NeMo][A40] Multitask_Prompt_and_PTuning.ipynb contains a broken link and wrong branch
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Replace functools.cached_property with functools.lru_cache for compatibility with py37 (which Colab uses).
**Collection**: nlp
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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Replace functools.cached_property with functools.lru_cache for compatibility with py37 (which Colab uses).
**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 ?
Fix jenkins CI issue with data simulator section config file
**Collection**: Tools
# Changelog
- remove single quotes
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contr... | {
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stt_en_conformer_ctc_large its 0.04
`from nemo.collections.asr.parts.utils.decoder_timestamps_utils import FrameBatchASR_Logits`
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# What does this PR do ?
Revert to colab Python 3.7friendly version of cached_property
**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 ?
Add a pretrained model for English itn t5 on NGC
**Collection**: [Note which collection this PR will affect]
# Changelog
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**Collection**: [Note which collection this PR will affect]
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} | # What does this PR do ?
Makes the changes necessary to do prompt learning of T5v1.1-converted checkpoints from HF.
**Collection**: NLP
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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} | # What does this PR do ?
Move over to new heteronyms list based on Wikipedia's [heteronyms short list](https://en.wikipedia.org/wiki/Heteronym_(linguistics)#English) and the [Wikipedia Homograph Data](https://github.com/google-research-datasets/WikipediaHomographData/blob/master/data/wordids.tsv).
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Move over to new heteronyms list based on Wikipedia's [heteronyms short list](https://en.wikipedia.org/wiki/Heteronym_(linguistics)#English) and the [Wikipedia Homograph Data](https://github.com/google-research-datasets/WikipediaHomographData/blob/master/data/wordids.tsv).
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} | # What does this PR do ?
Port Megatron features to match GPT3 convergence
**Collection**: NLP/Megatron
# Changelog
- Add LayerNorm1P class implementing numerically stable LayerNorm with formula: `(self.weight + 1) * x + self.bias` instead of `self.weight * x + self.bias`
- add option to use weight decay als... | {
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# What does this PR do ?
Adds checks for trainer.limit_val/test_batches and trainer.val_check_interval
**Collection**: NLP
# 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**:
NLP
# Changelog
- Fix issues with strategy and plugin mix (with PTL 1.7 upgrade)
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor guidelines](ht... | {
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} | # What does this PR do ?
Enable sync gradient reduction only when DP size is larger than 1.
This fixes the bug that NCCL kernels for grad-AR were issued asynchronously even when DP=1 slowing down compute kernel execution.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specifi... | {
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} | Signed-off-by: smajumdar <smajumdar@nvidia.com>
# What does this PR do ?
Fix typos in ASR notebooks.
**Collection**: [ASR]
**PR Type**:
- [ ] New Feature
- [x] Bugfix
- [ ] Documentation
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Fix typos in ASR tutorials
**Collection**: [ASR]
**PR Type**:
- [ ] New Feature
- [x] Bugfix
- [ ] Documentation
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} | Fix a typo in a parameter name. Instead of 'save_on_train_end', the correct parameter name is 'save_nemo_on_train_end'.
Signed-off-by: Miguel Martínez <miguelusque@users.noreply.github.com>
# What does this PR do ?
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Fixes a typo in a parameter name. Instead of 'save_on_train_end', the correct parameter name is 'save_nemo_on_train_end'.
**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.
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} | # What does this PR do ?
Release new multilingual VAD model that has been trained on 6 languages.
Find more details and evaluation results in [NGC model card](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo/models/vad_multilingual_marblenet).
**Collection**: ASR
# Changelog
- Link to new model.
- VA... | {
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} | # What does this PR do ?
Install `pynini` library in Docker container.
Currently pynini is not installed in Docker container, which causes TTS models to crash
**Collection**: [Note which collection this PR will affect]
* text processing
* tts
# Changelog
- install pynini (`Dockerfile`)
# Problem
Run ... | {
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My code:
```
import nemo
import nemo.collections.asr as nemo_asr
import pytorch_lightning as pl
from nemo.utils.exp_manager import exp_manager
from omegaconf import DictConfig, OmegaConf
params = OmegaConf.load(model_conf_path)
params.trainer.gpus = 1
p... | {
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} | # What does this PR do ?
Intent slot model onnx export test
**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 demonstrating h... | {
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} | # What does this PR do ?
Update Intent Slot model ONNX Export Test
**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 demonstr... | {
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} | Signed-off-by: Jocelyn Huang <jocelynh@nvidia.com>
# What does this PR do ?
Update TTS tutorials to install pynini with the new script.
**Collection**: TTS
**PR Type**:
- [ ] New Feature
- [x] Bugfix
- [ ] Documentation
# Additional Information
* Related to #4674
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} | Signed-off-by: ericharper <complex451@gmail.com>
# 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
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try test .py
test .py code content only
import nemo.collections.asr as nemo_asr
had a error about
```
Traceback (most recent call last):
File "test.py", line 1, in <module>
import nemo.collections.asr as nemo_asr
File "/code/nemo/collections/asr... | {
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} | # What does this PR do ?
Add the interface to enable TransformerEngine/eMHA at NeMo
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
**training.model.use_emha=True**
Should be used with **training.model.trans... | {
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# What does this PR do ?
Making small adjustments to exported methods to match Riva expectations.
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adding decoder memory for faster inference - MegatronNMT
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} | # What does this PR do ?
Fix setting up of `ReduceLROnPlateau` learning rate scheduler.
**Collection**: core
Steps to reproduce
```bash
git clone https://github.com/NVIDIA/NeMo.git
cd NeMo
git checkout fix/reduce_on_plateau_r1.11.0
git checkout r1.11.0 -- nemo/core/optim/lr_scheduler.py nemo/core/config/s... | {
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} | # What does this PR do ?
Fixes model disk size expansion in Change Num Partitions
**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
`... | {
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} | # What does this PR do ?
Speed up align_prior_matrix calculation and don't save it to disk. They take lots of space (tens of gigabytes per experiment) and it is perfectly fine to compute them on-the-fly. Matrix calculation speed-up is significant.
```python
%timeit beta_binomial_prior_distribution_numpy_old(80, ... | {
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} | # What does this PR do ?
This PR provides support to train and evaluate Adapter Infused GPT Models. The adapters supported are based off Houlsby et al. https://arxiv.org/pdf/1902.00751.pdf for NLP tasks. Some minor modifications were made to support Pipeline parallel training and inference.
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Fix bug intent slot classification tokenizer
**Collection**: NLP
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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Adding decoder memory to increase inference performance
**Collection**: [Note which collection this PR will affect]
# Changelog
- changes in Megatron decoder and related files
- added use_memory for translate function in megatron_nmt
# Usage
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# What does this PR do ?
Adds NGC model loading for the RAD-TTS Aligner.
**Collection**: TTS
# Changelog
- Add newly published NGC checkpoint to list of pretrained Aligner models
- Update tutorial to load this checkpoint instead of a local one
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It enhance the KNN index data structure to handling sharding index.
In this PR, it creates GPU Faiss index in 3 stages.
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} | Signed-off-by: David Mosallanezhad <dmosallanezh@nvidia.com>
# What does this PR do ?
Fixed Megatron export for updated Megatron models
**Collection**: [Note which collection this PR will affect]
# Changelog
- Changed tokens_head and row parallel layers to linear during the export process
# Usage
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} | Added comparation tool to SDE, work in progress
# What does this PR do ?
Adds new page to SDE
**Collection**: [Note which collection this PR will affect]
ASR
# Changelog
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# Usage
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**Collection**: ASR
# Changelog
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**Collection**: [Note which collection this PR will affect]
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I used NeMo/scripts/dataset_processing/ljspeech/README,
and i ran NeMo/scripts/dataset_processing/ljspeech/extract_ljspeech_phonemes_and_durs.sh .
However alignments directory is empty.
My logs;
`Skipping environment setup. Assuming env name aligner exists.
Starting MFA with dictionary at: /home/mesut/Doc... | {
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Problem with fitting model step-by-step in [this](https://github.com/NVIDIA/NeMo/blob/main/tutorials/nlp/Megatron_Synthetic_Tabular_Data_Generation.ipynb) notebook.
**Steps/Code to reproduce bug**
On step
```
!python megatron_gpt_pretraining.py \
trainer.devices={NUM_GPUS} \
... | {
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I trained the model using:
https://github.com/NVIDIA/NeMo/blob/main/tutorials/speaker_tasks/Speaker_Identification_Verification.ipynb
```
import nemo.collections.asr as nemo_asr
from omegaconf import OmegaConf
import torch
import pytorch_lightning as pl
import os
speaker_model = nemo_asr.models.EncDe... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/4705 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/4705/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/4705/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/4705/events | https://github.com/NVIDIA/NeMo/issues/4705 | 1,332,722,215 | I_kwDOC_bI7s5Pb7on | 4,705 | Train LM with a large file | {
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Using this below command:
python /workspace/data/NeMo/examples/nlp/language_modeling/bert_pretraining.py
--config-name=/workspace/data/NeMo/examples/nlp/language_modeling/conf/bert_pretraining_from_text_config.yaml
model.train_ds.data_file="/wo... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/4704 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/4704/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/4704/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/4704/events | https://github.com/NVIDIA/NeMo/issues/4704 | 1,332,642,874 | I_kwDOC_bI7s5PboQ6 | 4,704 | Automatic Speech Recognition (ASR) | {
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為什麼NeMo沒有做繁體中文相關的
還是有我只是沒發現? | {
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} | Signed-off-by: smajumdar <smajumdar@nvidia.com>
# What does this PR do ?
Bugfix for ASR buffered inference tutorial
**Collection**: [ASR]
**PR Type**:
- [ ] New Feature
- [x] Bugfix
- [ ] Documentation
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} | Signed-off-by: smajumdar <smajumdar@nvidia.com>
# What does this PR do ?
Add introductory post to nvidia.github.io/NeMo/
**Collection**: [Docs]
# Changelog
- Add introductory post
- Add support for MathJax
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed ... | {
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} | # What does this PR do ?
Adds decoder memory for faster inference
**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 demonstra... | {
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} | # What does this PR do ?
Adds a conversion script and related compatibility args to port Huggingface T5v1_1 weights to NeMo-Megatron.
**Collection**: NLP
# Changelog
- Adds a state dict conversation script.
- Adds necessary args to yaml configs to make sure the forward passes in HF and NeMo result in identi... | {
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} | Signed-off-by: nithinraok <nithinrao.koluguri@gmail.com>
# What does this PR do ?
Fix to get the titanet-finetune.conf file before running it.
**Collection**: Speaker Tasks
# Changelog
Previous code line was commented, now uncommented to get the required config file
# Before your PR is "Ready for revi... | {
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Hi,
I am trying to convert Biomegatron Model finetuned for token classification tasks using nemo to onnx format. I am getting the following error:
ARNING: The shape inference of prim::PythonOp type is missing, so it may result in wrong shape inference for the exported graph. Please consider ... | {
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I am a non spanish speaker 😅.
Like voxpoplui datasets says 120hrs after cleaning. I downloaded the dataset it has 150 hrs. Need to know which 30 hrs to clean please.
also in model description it says trained the confirmer large ctc on 7000 hrs of pretrained mo... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/4696 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/4696/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/4696/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/4696/events | https://github.com/NVIDIA/NeMo/issues/4696 | 1,331,715,465 | I_kwDOC_bI7s5PYF2J | 4,696 | Adding new tokens to pretrained asr vocab | {
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Here I don't want to change the entire vocabulary so the initial decoder weights will remain the same hence I c... | {
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I'm trying to convert .nemo to .riva, but I'm getting message `AttributeError: 'EncDecRNNTBPEModel' object has no attribute 'input_example`. Converting the Conformer-CTC model is OK but the Conformer-Transducer model cannot.
run command:
```bash
nemo2riva --out model_conformer_transducer.ri... | {
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