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} | # What does this PR do ?
Task 2: re-organize nemo.collection.tts.parts
- utils
- tts_dataset_utils.py # move torch/helpers.py here; merge tts/data/data_utils.py here.
- g2p_utils.py # move g2p/data/data_utils.py here * Evelina may comment.
- helpers.py # move tts/helpers/helpers.py here. Note th... | {
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I am trying to follow the tutorial at: [Speaker_Identification_Verification.ipynb](https://github.com/NVIDIA/NeMo/blob/main/tutorials/speaker_tasks/Speaker_Identification_Verification.ipynb)
I create a new Colab environment with 15GB GPU attached and run all of the cells in that sheet. It runs until cell 21, wh... | {
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} | # What does this PR do ?
Task 6: remove nemo/collection/tts/torch/README.md and tts_dataset.yaml.
**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 is a series of refactoring tasks forth.
Task 1: re-organize nemo.collections.tts.data
```
tts_dataset.py # move torch/data.py here
g2p_dataset.py # combine g2p/data/ctc_g2p.py, g2p/data/t5_g2p.py, and g2p/data/heteronym_classification_data.py
# 2. update import paths.
```
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} | # What does this PR do ?
Task 7:
1. remove duplicate import of `torch`.
2. `GreedyCTCDecoder` is actually a module and should move to nemo/collection/tts/modules.
3. Lack of exposure from import (see below graph). For example, `fastpitch_ssl` and `ssl_tts` should be added into `__init__.py`.
![packages_tts_mo... | {
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} | # What does this PR do ?
Make the spectrogram enhancer work on arbitrary length spectrograms irrespective of lengths during training. This a convolutional model (=locally-connected network), really no reason why it should not support arbitrary lengths
Original StyleGAN 2 architecture starts from a fixed-size nois... | {
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Add prototype implementation of TTS pipeline that is intended to be used for inference before and after model training.
These are far from finalized. The intent is for this to be experimental and to slowly incorporate them into our inference workflows (eg. for preprocessing, evaluation, a... | {
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This PR adds support in external sampler function to Megatron encoder-decoder.
**Collection**: [Note which collection this PR will affect]
# Changelog
1. Added support in a custom token sampling function to `MegatronLMEncoderDecoderModel.decode`.
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- add build arguments `REQUIRE_TORCHAUDIO` and `REQUIRE_K2` for `torchaudio` and `k2` in Dockerfile
- `false` (by default): library will be installed if possible, errors ignored
- `true`: if library not installed correctly, end build with error
- fix `k2` installation script on macOS
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1. Improved testing of text memmap generated index files, and improved error message when files are missing.
**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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Adds batch size to generate function in prompt_learning class
**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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Adds batch size to generate function in prompt_learning class
**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 ?
Fix enhancer usage in ASR-TTS models
**Collection**: [ASR, TTS]
# Changelog
- suppress type checking for enhancer usage
# 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/... | {
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**Collection**: [NLP]
# Changelog
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# Changelog
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The line is unnecessary and creating an error.
Also added "rm" command that removes tar file, in case where users run the cell again.
**Collection**: [Note which collection this PR will affect]
ASR
# Changelog
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**Collection**: ASR
# Changelog
- add naming args
**PR Type**:
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Fixes a bug with logging params with PP > 1.
**Collection**: NLP
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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Using tarred buckets with ASR data exhibits cyclical behavior that makes it difficult for ASR models to converge in some situations.
Not sure if I'm using it wrong, or if this is be design.
I believe the problem comes from here:
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} | # What does this PR do ?
Fix error when padding batches.
**Collection**: NLP
# Changelog
- Fix batches padding in MegatronPretrainingSampler
# 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 ?
Adding important main PRs to 1.16 branch
**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 ?
**Collection**: asr
# Changelog
Make KenLM with punctuation and capitalization (PC) for AggregateTokenizer
Merge ARPA models with OpenGRM
## For scripts/asr_language_modeling/ngram_lm/train_kenlm.py
- allow to use multilanguage NeMo model with AggregateTokenizer (nemo_model_f... | {
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Split the g2p data_utils into 2 util classes, one containing tokenization functions and the other g2p specific ones.
This fixes a circular import between the the text tokenizers and G2p.
**Collection**: [TTS]
# Changelog
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} | # What does this PR do ?
Offline it was mentioned that API docs were failing due to some syntax available in Python 3.8. This can be seen here: https://readthedocs.com/projects/nvidia-nemo/builds/1305908/
Setting the build python version to 3.8 for readthedocs.
**Collection**: Common
# Changelog
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it looks like there's a mistake in the [cache-aware streaming example.](https://github.com/NVIDIA/NeMo/blob/786a8501db2bd3854ed6f629a51fe2792b58bb00/examples/asr/asr_cache_aware_streaming/speech_to_text_cache_aware_streaming_infer.py)
[This argument ](https://github.com/NVIDIA/NeMo/blob/0322b324e815c155f90e7... | {
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} | # What does this PR do ?
Adds CITATION.eff file
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
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} | # What does this PR do ?
fixed broken procedures in the tutorial and minor related code chagnes.
**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 ?
fixed tutorial errors and update the instructions.
**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 ?
Makes DataLoader for Spectrogram enhancer (#5565) use correct dimension to determine length of the spectrogram.
Currently it uses number of mel bands as length, so in practice enhancer trains on 80x80 patches, which is obviously suboptimal and a **bug**.
**Collection**: TTS
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* Update hydra config on published NGC titanet-model and release as v1 version
* Improve speaker label tests with latest hydra config
* Add a feature to write model labels `labels.txt` to exp directory
* Update batch inference function to return gt labels and trained model labels (if ava... | {
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This PR fixes the deprecated configuration in speaker diarization training notebook.
**Collection**: [Note which collection this PR will affect]
ASR
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
Now, create alignment script for libri ... | {
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Fixes two small bugs in the flashlight decoder, one due to superfluous import
**Collection**: ASR
# Changelog
- Two changes to nemo/collections/asr/modules/flashlight_decoder.py
# Usage
* No changes, just continue to use flashlight decoding as normal
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Moves esperanto into a notebook instead of a documentation page.
**Collection**: ASR
# Changelog
- Move esperanto example to a notebook.
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDI... | {
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____________________________... | {
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In the recently added flashlight module, https://github.com/NVIDIA/NeMo/blob/0e70135ccf24d882dcdc549321e747199a232bdf/nemo/collections/asr/modules/flashlight_decoder.py#L102 has a never-used import `from flashlight.lib.sequence.criterion import get_data_ptr_as_bytes.` This import appears to be f... | {
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So while training a conformer model in an unsupervised fashion. I saw usage of two loss, i.e. contrastive loss and mlm loss.
A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]
So if i want to train the con... | {
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} | # What does this PR do ?
Add a Chinese bert recipe for polyphone disambiguation.
**Collection**: [Note which collection this PR will affect]
G2P
# Usage
```sh
# prepare manifest
mkdir -p /mnt/samsung-t7/yuekai/tts/cpp_manifest
git clone https://github.com/kakaobrain/g2pM.git
python3 export_zh_cpp_d... | {
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`save_best_model` and `always_save_nemo` will work with tp/pp > 1 with this PR.
`save_best_model` and `always_save_nemo` will work independently i.e
- to track best .nemo just set `save_best_model=True` (the other flag can be false)
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**Collection**: ASR
# Changelog
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} | # What does this PR do ?
Currently loss masking for GPT (used when `model.data.pad_samples_to_global_batch_size=True`) issues a warning for every masked sample. In typical workflows there might be hundreds of masked samples in 1 batch, which spawns hundreds of warnings every validation. This PR fixes that
**Colle... | {
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} | # What does this PR do ?
Enables using LayerNorm1P implementation with TransformerEngine.
So far, only non-TE path allowed using LayerNorm1P.
NOTE: this PR requires TE version >=0.6!
**Collection**: NLP
# Changelog
- enable LayerNorm1P for TransformerEngine
# Usage
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Make the spectrogram enhancer work on arbitrary length spectrograms irrespective of lengths during training. This a convolutional model (=locally-connected network), really no reason why it should not support arbitrary lengths
Original StyleGAN 2 architecture starts from a fixed-size nois... | {
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} | # What does this PR do ?
Fix enhancer usage in ASR-TTS models
**Collection**: [ASR, TTS]
# Changelog
- suppress type checking for enhancer usage
# 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/... | {
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Adds fast versions of geglu, swiglu and reglu. By having a single large matmul and chunking the outputs.
**Collection**: NLP
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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Adds Sampled softmax to Speech Translation preliminary support
**Collection**: [ASR, ST]
# Changelog
- Update config for adding ctc and transformer sampled softmax
- Make text augmenttion optional
- Update code in transformer model to support ctc and transformer sampled softmax
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} | # What does this PR do ?
Follow up of #6054
Refactor of GPT Prompt Tuning to use the same code structure as P-Tuning.
**Collection**: [NLP]
# Changelog
- Adds an option to train a PromptEncoder with just the embeddings which is functionally same as prompt-tuning.
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} | # What does this PR do ?
fixed broken procedures in the tutorial and minor related code chagnes.
**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 ?
The `PromptEncoder` class has variations like `PromptEncoderMLP` and `BIGLSTMPromptEncoder`. The PR removes the `BIGLSTMPromptEncoder` (it was not used has has straight up compile errors) and moves `PromptEncoderMLP` inside the `PromptEncoder` class as a member var.
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} | # What does this PR do ?
fix typo in asr evaluator readme
**Collection**: ASR
# Changelog
- fix typo in asr evaluator readme
# 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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} | # What does this PR do ?
Add cache aware streaming model in nemo force aligner
Should be easy for ctc segmentation tool to call and get the log probs as well.
Most of the codes are copied from ```speech_to_text_cache_aware_streaming_infer.py```.
**Collection**: [Note which collection this PR will affect]
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} | # What does this PR do ?
fixed tutorial errors and update the instructions.
**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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The tutorial is invalid after removal of TN: https://github.com/NVIDIA/NeMo/blob/main/tutorials/tts/Tacotron2_Training.ipynb
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} | # What does this PR do ?
Currently GPT gets the attention_mask from the fused softmax kernel.
If, the kernel isn't used, then the fallback to pytorch softmax breaks.
This PR makes it configurable to get attention_mask from the kernel.
**Collection**: NLP
# Changelog
- Update forward and loss func
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} | # What does this PR do ?
Makes DataLoader for Spectrogram enhancer (#5565) use correct dimension to determine length of the spectrogram.
Currently it uses number of mel bands as length, so in practice enhancer trains on 80x80 patches, which is obviously suboptimal and a **bug**.
**Collection**: TTS
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```
, line 3086, in binary_cross_entropy
raise ValueError(
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**Collection**: [Note which collection this PR will affect]
# Changelog
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# Usage
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} | Add model.eval() to ensure the accuracy.
# What does this PR do ?
fix a small bug
**Collection**: [Note which collection this PR will affect]
no collection would be affected
# Changelog
- Add specific line by line info of high level changes in this PR.
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# What does this PR do ?
fix a small bug
**Collection**: [Note which collection this PR will affect]
no collection would be affected
# Changelog
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} | # What does this PR do?
Change perturb rng for reproducing results easily
**Collection**: ASR
# Changelog
- Remove Random number generator and use int rng and seed.
- update tutorial.
# Usage
You can use rng (int) for Perturbations.
```python
augmentor:
silence:
prob: 0.8
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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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Hi! I'm having an issue while fine-tuning `stt_en_conformer_transducer_large`. After a while I get an error stating:
`Output length mismatch! Given U: 35, Expected max U from target lengths: 35 + 1` triggered [here](https://github.com/NVIDIA/NeMo/blob/3e7499599a13869e772612d286d660b574715a5e/ne... | {
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} | # What does this PR do ?
A bug fix
Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
nemo tools
coolections will not be affected
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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# What does this PR do ?
Fix a function logic: https://github.com/NVIDIA/NeMo/blob/main/tools/nemo_forced_aligner/utils/data_prep.py#L78
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**Collection**: [TTS]
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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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**Pytorch Lighting Parameters**
omit amp_level and amp_backend,only used precision=16 to enable AMP
#amp_level="O1",
precision=16,
#amp_backend='apex'
though it enables AMP [Using 16bit native Automatic Mixed Prec... | {
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Integrates the microbatch loader for bert
Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
NLP
# Changelog
- Add specific line by line info of high level changes in this PR.
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} | Allows users to read data into prompt-and-completion format .jsonl as expected by the Customization service/NeMo LLM P tuning service
Signed-off-by: Zhilin Wang zhilinw@nvidia.com
# What does this PR do ?
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} | # What does this PR do ?
Adds a early stopping callback to the ptl trainer object for prompt and p-tuning for gpt and t5 models.
**Collection**: [NLP]
# Usage
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```python
# Add a code snippet demonstrating how to use this
```
# Before your PR is "Ready fo... | {
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} | # What does this PR do ?
Adds missing dependency for using `build` to build the nemo pip wheel
**Collection**: [Core]
# Changelog
- Add missing dependency `pytest-runner`
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor guidelines](https://githu... | {
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Adds PyCTCDecode to high level beam search API
**Collection**: [ASR]
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replace `! -z` -> `-n`.
https://github.com/koalaman/shellcheck/wiki/SC2236
**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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This PR adds experimental support in BERT for the distributed Adam optimizer to overlap its parameter all-gather with the forward compute.
**Collection**: NLP
# Changelog
- Add BERT support for overlapping forward compute with distopt communication
# Usage
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* Update hydra config on published NGC titanet-model and release as v1 version
* Improve speaker label tests with latest hydra config
* Add a feature to write model labels `labels.txt` to exp directory
* Update batch inference function to return gt labels and trained model labels (if ava... | {
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- Feed a separate communicator to TE for a data-parallel AMAX reduction
- This enables overlapping AMAX reduction and other DP-communications e.g., gradient reduction and parameter gathering
# Changelog
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I have following three issues:
1. I tried to finetune the titanet-large model using the German dataset with 274 speakers and the total data size is small. THe dataset is around 30h - 40h in total. I tried with few different configurations like - adamw optimizer with 0.0001 learning rate and angularsoftm... | {
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using 22.07 image from NGC cloud
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Adding ragged batch input option for RadTTS - with some refactoring
Fixing 2 bugs from previous PR:
1. clamp(1,..)
2. argsort() for unsort_tensor() was in wrong direction
**Collection**: [Note which collection this PR will affect]
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Adding [ClearML ](https://github.com/allegroai/clearml) integration for logging of training process:
- Enable PyTorch auto logging (cfg parameter)
- TensorBoard auto logging (on default)
- Logging .nemo checkpoint files
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Adding intermediate CTC loss and stochastic depth as described in https://arxiv.org/abs/2102.03216.
The current implementation is only for conformer encoder, but I'm not really sure how to write a generic code for this case. Please let me know if you have some ideas here.
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Add two popular read-only properties for tensor and pipeline parallelism values.
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**Collection**: [Note which collection this PR will affect]
NLP
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# What does this PR do ?
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} | Signed-off-by: Ante Jukić <ajukic@nvidia.com>
# What does this PR do ?
This PR adds a section in ASR/Datasets to describe how to use a dataset from AIStore.
**Collection**: ASR, Documentation
# Changelog
- Added a section in ASR/Datasets with a description of using a dataset from AIStore
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If one trains TTS spectrogram enhancer (#5565) on short spectrograms, at inference time it doesn't generalize to longer ones. A patch in the beginning gets enhanced but further frames do not.
Example (before, after):
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# What does this PR do ?
Simplify `k2` library import guard: use module-based approach.
**Advantages:**
- less code is required for using guard
- no need to suppress linters (isort, etc.)
**Collection**: [ASR]
# Changelog
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I am P tuning with Megatron GPT2 model with 100 train and 100 test dataset for a particular activity. I am getting repetitive sentence during inference for most of the samples.
I have used below things to resolve this issue.
1. Used instruction se... | {
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} | # What does this PR do ?
Fix transribe function in EncDecHybridRNNTCTCModel.
**Collection**: [Note which collection this PR will affect]
ASR
# Changelog
- Add variables for transcribe invocation if use_rnnt_decoder.
- Change name of variable (logits_len to encoded_len).
- Change ErrorValue to ValueError i... | {
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} | # What does this PR do ?
Fix transribe function in EncDecHybridRNNTCTCModel.
**Collection**: [Note which collection this PR will affect]
ASR
# Changelog
- Add variables for transcribe invocation if use_rnnt_decoder.
- Change name of variable (logits_len to encoded_len).
- Change ErrorValue to ValueError i... | {
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