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Fixes some issues:
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Original PR: https://github.com/NVIDIA/NeMo/pull/6608
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Remove extraneous spaces between word and punctuation
**Collection**: [ASR]
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# Before your PR is "Ready for review"
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} | # What does this PR do ?
Fix a few bugs in TTS preprocess_audio.py and MelSpectrogramFeaturizer.
**Collection**: [TTS]
# Changelog
- Add additional config to mel featurizer to make it more consistent with past TTS configs
- Add check and unit test for normalize_volume when audio input is empty array.
- Mod... | {
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} | # What does this PR do ?
Enable E2E inference for TE FP8 path in transformer with KV cache
**Collection**: NLP
# Changelog
- Update examples/nlp/language_modeling/megatron_gpt_eval.py for TE FP8 inference, padded inputs to a multiple of 8 to get rid of error `AssertionError: Input and weight dimensions are n... | {
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} | null | null | null | **Is your feature request related to a problem? Please describe.**
An important consideration for us when deciding which library, framework or model implementation to use when pretraining models is whether the model will be accessible and easy to use for end users. In practice this translates to whether it is possib... | {
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} | null | null | null | **Describe the bug**
When running megatron_gpt_eval.py with an FP8 model, The FP8 path is run and not able to find `get_amax_reduction_group()` in parallel_state.
The error is triggered at this line:
https://github.com/NVIDIA/NeMo/blob/21048627b3923c9268842990aafdef141bd14bd1/nemo/collections/nlp/modules/common/... | {
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} | # What does this PR do ?
Allows to exchange GPTDataset indices with torch.distributed (instead of filesystem) by broadcasting indices from rank 0.
**Collection**: NLP
# Changelog
- Allows to exchange GPTDataset indices with torch.distributed
# Usage
Turn on with a `model.data.exchange_indices_distributed... | {
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} | # What does this PR do ?
Update core commit hash in readme
**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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Update core commit hash in readme
**Collection**: [Note which collection this PR will affect]
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Add forgotten image to hat docs description
**Collection**: [ASR]
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary t... | {
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Improve ASR-TTS models code and docs. Address issues raised in #6594:
- (new feature) support hybrid RNNT-CTC models
- improve documentation:
- add required docs for sampling techniques
- add a note about appending values to config for training
- add initial enhancer stubs in docs... | {
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} | # What does this PR do ?
Add forgotten image to hat docs description
**Collection**: [ASR]
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary t... | {
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} | # What does this PR do ?
Allows to exchange GPTDataset indices with torch.distributed (instead of filesystem) by broadcasting indices from rank 0.
**Collection**: NLP
# Changelog
- Allows to exchange GPTDataset indices with torch.distributed
# Usage
Turn on with a `model.data.exchange_indices_distributed... | {
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Calling `EnglishPhonemesTokenizer.encode_from_g2p()` with text that a list of phonemes that contains `<oov>` as one of the items simply skips the `<oov>` item even if `<oov>` is a part of the `EnglishPhonemesTokenizer.tokens`.
**Steps/Code to reproduce bug**
```
from nemo.collections.tts.... | {
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} | null | null | null | Hi. Thank you very much for your implementation on ACEVC. I'm interested in this Zero-shot Voice Conversion project. I have finished training the model and successfully conveted the voice by following the document on the website https://paarthneekhara.github.io/ace/code.html. However, I didn't know how to control pace ... | {
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Reduce the peak memory usage during model building and restoration.
**Collection**: [NLP]
# Changelog
- Force state dict onto CPU during restoration
- Add param_dtype in multiple places to correctly build tensor with trainer.precision dtype
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} | # What does this PR do ?
Adds confidence ensembles implementation.
I will follow up with more features (e.g., tuning of the LR/confidence parameters) as well as documentation and probably a tutorial notebook. But the basic functionality is fully implemented.
**Collection**: ASR
# Changelog
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Manually cherry-pick changes from https://github.com/NVIDIA/NeMo/pull/6528. Automatic merging probably failed due to merge conflicts with https://github.com/NVIDIA/NeMo/pull/6510.
**Collection**: NLP
# Changelog
- Cherry-pick changes from https://github.com/NVIDIA/NeMo/pull/6528
- M... | {
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LoRA support for T5 models.
**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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Manually Cherry pick commits in https://github.com/NVIDIA/NeMo/pull/6601/commits merged to r1.18.0 due to failure of creating automatic cherry pick and merge
**Collection**: ASR
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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add fix from #6449 into main
**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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Updated `transcribe_partial_audio` to work for RNNT and hybrid models.
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Fixes some issues:
-change_attention_model should work for old models which don't have some of the relevant parameters in config
-also it shouldn't run when nothing to change was submitted
**Collection**: ASR
**PR Type**:
- [ ] New Feature
- [X] Bugfix
- [ ] Documentation
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I'm trying to finetuning HiFiGAN using this lib, using WSL2 I could start training process, but it will stuck at random step.
**Steps/Code to reproduce bug**
Running prompts:
```
LD_LIBRARY_PATH=/home/oedosoldier/anaconda3/envs/fs/lib:$LD_LIBRARY_PATH HYDRA_FULL_ERROR=1 PYTHONPATH=./jiar... | {
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I am getting an error when running inference on a test dataset using the Conformer-Transducer [Small](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo/models/stt_en_conformer_transducer_small) and [Medium](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo/models/stt_en_conformer_transduce... | {
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Patch transcribe_util for steaming mode and add wer calculation back to the inference scripts as requested
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**Collection**: [Note which collection this PR will affect]
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Add more detail to SDP section in NeMo docs, and add link to that page in the NeMo README.rst.
**Collection**: docs
# Changelog
- update SDP section in NeMo docs
- update NeMo README
# Usage
N/A
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read... | {
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Add documentation for hybrid ASR-TTS models.
**Collection**: [ASR]
# Changelog
- add docs to ASR models
- add docs for text-only dataset construction
- add description for configs and training scripts
- add note about extracting final ASR model
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Add documentation for hybrid ASR-TTS models.
**Collection**: [ASR]
# Changelog
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- add description for configs and training scripts
- add note about extracting final ASR model
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} | # What does this PR do ?
Make tensor split contiguous for qkv and kv in attention
**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 ?
Cherry pick patches for VP
**Collection**: [NLP]
# Changelog
- Adds VP support
# Usage
```python
# Megatron GPT + Virtual Pipeline parallelism
python megatron_change_num_partitions.py \
--model_extracted_dir="<Directory of Pytorch Lightning ckpt folders>" \
--targ... | {
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I'm trying to fine tune the tts_es_fastpitch_multispeaker.nemo model and have this issue with the pitch_state.json file. I just copy the format in "scripts/tts_dataset_files/openslr_es/pitch_stats.json" and I have this error.
`mismatched input 'pitch_state.json' expecting ID`
**Steps/Code ... | {
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while trying to train the language model with train-kenlm.py for asr, i encounter the following error:
"
[NeMo W 2023-05-08 14:55:20 optimizers:54] Apex was not found. Using the lamb or fused_adam optimizer will error out.
[NeMo W 2023-05-08 14:55:21 experimental:27] Module <class 'nemo.collections.asr.module... | {
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} | # What does this PR do ?
Fix an issue with virtual parallel conversion
**Collection**: [NLP]
# Changelog
- Fixes issue where the resultant model loaded in VP does not correctly load subset of model parameters due to incorrect VP state set in megatron core
# Before your PR is "Ready for review"
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} | # What does this PR do ?
Current T5 FT batch reconf for drop_last = False didn't account for the case of multivalidation. This lead to incorrect setting of micro-batch calculator.
The PR fixes the issue
**Collection**: NLP
# Changelog
- Add specific line by line info of high level changes in this PR.
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The training has finished properly and I have a `.nemo` file. I have tried following the inference script [here](https://docs.nvidia.... | {
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what language model training toolkit does nemo uses for asr language model training? | {
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Can this https://github.com/NVIDIA/NeMo/blob/main/examples/asr/conf/conformer/multilang/conformer_ctc_bpe_multilang.yaml
S... | {
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I simply followed the [TTS Aligner Inference Example](https://github.com/NVIDIA/NeMo/blob/stable/tutorials/tts/Aligner_Inference_Examples.ipynb) but the visualized `attn_soft` is empty and indeed `attn_soft_tensor` has all `nan` values.
<img width="1082" alt="Screen Shot 2023-05-06 at 10 43 2... | {
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while trying to train a language model for asr with train_kenlm.py, i encounter the following error:
''
[NeMo W 2023-05-06 17:30:53 optimizers:54] Apex was not found. Using the lamb or fused_adam optimizer will error out.
[NeMo W 2023-05-06 17:30:53 experimental:27] Module <class 'nemo.collections.asr.module... | {
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} | # What does this PR do ?
Current T5 FT batch reconf for drop_last = False didn't account for the case of multivalidation. This lead to incorrect setting of micro-batch calculator.
The PR fixes the issue
**Collection**: NLP
# Changelog
- Add specific line by line info of high level changes in this PR.
# ... | {
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} | # What does this PR do ?
adds an option for a safe batchnorm that does not accept nan values, converting them to zeroes
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 i... | {
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Make tensor split contiguous for qkv and kv in attention
**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 ?
Adds an IterableDataset class which generates on-the-fly code switched utterances for ASR
**Collection**: ASR
# Changelog
- `nemo/collections/asr/data/audio_to_text.py`: added language support to the BPE classes to support code-switching
- `nemo/collections/asr/data/audio_to_text_da... | {
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} | # What does this PR do ?
Bug fixes for cach-aware conformer export.
replaces #6562
**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 ?
Fix for autocast when precision is fp32
**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 ?
Add initial implementation of new TTS data loader which supports multi-manifest training and uses mostly preprocessed features.
The data loader is intended to be for TTS acoustic model and as such includes some specific functionality for text processing. Other models like vocoder will nee... | {
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} | # What does this PR do ?
Fix separate_punctuation=True option
**Collection**: ASR
# Changelog
Do
```
'some text.' -> 'some text .'
'some text .' -> some text .'
```
instead of
```
'some text.' -> 'some text .'
'some text .' -> some text.'
```
**PR Type**:
- [V ] Bugfix
## Who can revie... | {
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I'm facing the following issue while pip install nemo-toolkit.
ERROR: Could not find a version that satisfies the requirement megatron-lm==2.2.0; extra == "all" (from nemo-toolkit[all]) (from versions: 2.2.1, 2.2.2)
ERROR: No matching distribution found for megatron-lm==2.2.0; extra == "all"
Can someo... | {
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} | null | null | null | Hello,
I am using the offline speaker diarization module and I managed to export vad_multilingual_marblenet.nemo model to onnx.
Running voice activity detection with ONNX results in an improvement of about 20% less inference time. From what I have read ONNX usually results in a greater imrovement.
Is this r... | {
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Offline and streaming inference support for hybrid model
**Collection**: ASR
# Changelog
- Add check to examine whether model and decoding type match
- Update`speech_to_text_buffered_infer_ctc.py` and `speech_to_text_buffered_infer_rnnt.py` to support hybrid + ctc and hybrid rnnt
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} | # What does this PR do ?
Docs build fails currently due to older version of OpenSSL on readthedocs. Limit urllib3 version to <2
**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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**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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Bug fixes for cach-aware conformer export.
replaces #6562
**Collection**: [Note which collection this PR will affect]
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- Add specific line by line info of high level changes in this PR.
# Usage
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My second experience was that on 4090 the https://huggingface.co/nvidia/GPT-2B-001 did not work #6564
I want to play around with FP8 and it looked like this was fastest way but it was just not working, and when did it to run was 4x slower than regul... | {
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4090
start server with
`python /workspace/nemo/examples/nlp/language_modeling/megatron_gpt_eval.py gpt_model_file=GPT-2B-001_bf16_tp1.nemo trainer.precision=bf16 server=True tensor_model_parallel_size=1 trainer.devices=1`
run unmodified sample code
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} | # What does this PR do ?
Removing casts around norms from the set of default pre-export replacements and moving them to a separate function.
Latest TRT should not need that anymore - also the casts may prevent some fusion.
That function may still be used from Nemo2Riva explicitly should it be needed on case-by-cas... | {
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Bug fixes for cache aware / conformer export
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Fix bad JSON in notebook.
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# Changelog
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Update scores table for Fast Conformer models
**Collection**: [ASR]
# Before your PR is "Ready for review"
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Update scores table for Fast Conformer models
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Adds support for large inputs (large batches and large samples) to Fast Conformer models, working around this issue https://github.com/pytorch/pytorch/issues/80020
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Helps support large batches and input, working around https://github.com/pytorch/pytorch/issues/80020
**Collection**: [Note which collection this PR will affect]
ASR
# Changelog
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Fix for autocast when precision is fp32
**Collection**: NLP
# Changelog
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# Usage
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**Collection**: NLP
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Fixes GradScaler issue when using torch's GradScaler
**Collection**: NLP
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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# Add a code snippet demonstrating how to use this
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**Collection**: ASR
# Changelog
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# Changelog
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**Collection**: NLP
# Changelog
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This PR adds a few enhancements to RIR generation scripts.
**Collection**: Tools
# Changelog
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- Added: randomized mic placement
- Added: diffuse noise generation
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} | # What does this PR do ?
Fix for T5 FT model tensor shape
**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 a code snippet demonstrating how to use this
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Fixes GradScaler issue when using torch's GradScaler
**Collection**: NLP
# Changelog
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# Usage
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**Collection**: [Note which collection this PR will affect]
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A lot of people already have a local script which does text processing & normalization before training. To do it quickly one needs to use multiprocessing or joblib, as our text normalizer does not support batch processing.
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* Fix typos
Signed-off-by: smajumdar <titu1994@gmail.com>
---------
Signed-off-by: smajumdar <titu1994@gmail.com>
(cherry picked from commit 5468077f5127be1a4c88065de2544f4268b9a6e4)
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```
sudo docker pull nvcr.io/nvidia/nemo:23.02
sudo docker run --runtime=nvidia -it --rm -v --shm-size=16g -p 5555:5555 -p 8889:8888 -p 6006:6006 --ulimit memlock=-1 --u... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/6536 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/6536/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/6536/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/6536/events | https://github.com/NVIDIA/NeMo/pull/6536 | 1,692,930,369 | PR_kwDOC_bI7s5PnQlB | 6,536 | TDT model pull request | {
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} | # What does this PR do ?
Token-and-Duration Transducer (TDT, https://arxiv.org/abs/2304.06795) implementation.
**Collection**:
ASR
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
To train a TDT model, use config file at examples/asr/conf/conformer/tdt/conformer_... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/6535 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/6535/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/6535/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/6535/events | https://github.com/NVIDIA/NeMo/issues/6535 | 1,692,743,713 | I_kwDOC_bI7s5k5Tgh | 6,535 | How to get the intermediate features from the pre-trained checkpoint | {
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} | null | null | null | Hi @titu1994, @VahidooX, thank you for your hard work.
I am trying out an experiment for the knowledge distillation task by utilizing the official pre-trained checkpoint ([stt_en_conformer_ctc_large_ls](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo/models/stt_en_conformer_ctc_large_ls)) for the teacher model... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/6534 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/6534/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/6534/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/6534/events | https://github.com/NVIDIA/NeMo/issues/6534 | 1,692,119,491 | I_kwDOC_bI7s5k27HD | 6,534 | ModuleNotFoundError: No module named 'kenlm_utils' | {
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while trying to import "kenlm_utils" i face this error:
ModuleNotFoundError: No module named 'kenlm_utils'
and after manually adding kenlm_utils.py to my directory i encounter the following error:
"UnsupportedOperation Traceback (most recent call last)
[<ipython-input-29-cec13af5ea... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/6533 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/6533/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/6533/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/6533/events | https://github.com/NVIDIA/NeMo/pull/6533 | 1,691,855,799 | PR_kwDOC_bI7s5Pjppu | 6,533 | fixes #6532 | {
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} | # What does this PR do ?
See issue https://github.com/NVIDIA/NeMo/issues/6532
**Collection**: [Note which collection this PR will affect]
tokenizers
# Changelog
- See comments in the Issue https://github.com/NVIDIA/NeMo/issues/6532
# Usage
* You can potentially add a usage example below
```python
fr... | {
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