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Add an option to disable distributed parameters in the distributed Adam optimizer. This is similar to standard distributed data-parallelism (i.e. with gradient all-reduces), but it takes advantage of the distributed optimizer's support for overlapping communication with backward compute.
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} | # What does this PR do ?
This PR adds experimental support in GPT for the distributed Adam optimizer to overlap its parameter all-gather with the forward compute. It integrates with features added in https://github.com/NVIDIA/apex/pull/1559.
This is done with a hacky monkey-patching approach, so long-term it may ... | {
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} | # What does this PR do ?
Closes #5660
Expose the device so users can set this via the config.
**Collection**: ASR
# Changelog
- Expose clustering diarizer device so user can set device.
# Before your PR is "Ready for review"
**Pre checks**:
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**Collection**: nemo_megatron_launcher
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# What does this PR do ?
Adds tpmlp to T5-based models
**Collection**: [Note which collection this PR will affect]
# Changelog
- modifying "megatron_base_prompt_learning_model.py"
# Usage
# Before your PR is "Ready for review"
**Pre che... | {
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# What does this PR do ?
TN/ITN moved to a new repo https://github.com/NVIDIA/NeMo-text-processing
**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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I wonder if we should start moving away from named tuples, switching to data classes instead. NamedTuple somehow interfere with pickling which might become necessary soon with PT 2.0 (maybe)
_Originally posted by @titu1994 in https://github.com/NVIDIA/... | null | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/5675 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/5675/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/5675/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/5675/events | https://github.com/NVIDIA/NeMo/issues/5675 | 1,503,628,337 | I_kwDOC_bI7s5Zn4wx | 5,675 | unify AudioToMelSpectrogramPreprocessor and AudiotoSpectrogram | {
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https://github.com/NVIDIA/NeMo/blob/main/nemo/collections/asr/modules/audio_preprocessing.py#L95. it would just be adding one or two args to return intermediate STFT from AudioToMelSpectrogramPreprocessor or sub-classing it.
_Originally posted by @krishnacpuvvada in https://github.com... | null | {
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I tried to convert the vad_multilingual_marblenet.nemo model to ONNX format and perform the vad inference stage in the clustering_diar_infer.py script from the diarization example.
The following is the code I implemented:
```
self._vad_model = EncDecClassificationModel.restore_from(model_path)
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} | # What does this PR do ?
The goal of this PR is to add a supervised fine-tuning functionality for GPT.
**Collection**: NLP - language modeling
# Changelog
- Created a new class similar to GPT pretraining: MegatronGPTSFTModel
- Create a new dataset class for SFT, allowing answer-only loss and the inclusion... | {
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Adds support for nested NeMo models (with resources).
It's possible to instantiate and save models with NeMo submodules. Artifacts are correctly saved and restored.
**Collection**: [core]
# Changelog
- Add specific line by line info of high level changes in this PR.
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} | # What does this PR do ?
Allow changing `attention_dropout` from a config file level in the GPT model
**Collection**: language_model
# Changelog
- Allow changing `attention_dropout` from a config file level in GPT
# Usage
Set `model.attention_dropout` in GPT config file
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Fixes a bug when restarting from a save checkpoint with multiple GPUs. We shouldn't override the device (or even store the device at all), relying on the LightningModule to provide the device.
**Collection**: Common
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make su... | {
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I would like to add some special symbols in to transcription like lang. id of each utterance "\<english\>" and retrain the model. Is there a way to do that? Can I do it by passing some parameters to process_asr_text_tokenizer.py.
Currently, I have tried adding some unused symbols like "<" for English, and ">... | null | {
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common\losses\cross_entropy.py doesn't work on some gpus if mask tensor has integer type.
Given that mask is a tensor of all 1 with dtype=torch.int64
in lines 71-72
if loss_mask.dtype is not torch.bool:
loss_mask = loss_mask > 0.5
loss_mask should become all True, if ru... | {
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# What does this PR do ?
add ngc cli installation following what TAO toolkit used.
**Collection**: [Note which collection this PR will affect]
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Dataset sample truncation sometimes errors in NeMo. This is because the text segments from a users dataset can have different tokenization depending on the prompt template text that is present around that text segment. This makes it difficult to find the truncated fi... | {
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This PR adds support for hybrid ASR-TTS models.
**Features:**
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- [x] hybrid ASR-TTS model (`ASRWithTTSModel`) from ASR model config for training from scratch
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**Collection**: [Note which collection this PR will affect]
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# Usage
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**Collection**: [Note which collection this PR will affect]
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**Collection**: [Note which collection this PR will affect]
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not able to complete the training process using pretrained model [biomegatron345m_biovocab_50k_cased]
**Steps/Code to reproduce bug**
NVIDIA NeMo Introduction Notebook
Setup
using the NGC nvcr.io/nvidia/pytorch:22.04-py3 PyTorch container.
Install [NeMo](https://github.com/NVIDIA/NeMo) usin... | {
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# What does this PR do ?
Changed unfold to reshape for inference to be able to export in ONNX.
Also using extra hx parameter to LSTM call to work around Pytorch issues with tracing the hx=None.
Now Torchscript export works without any scripting - so I was als... | {
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# What does this PR do ?
add ngc cli installation following what TAO toolkit used.
**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 ?
During inference, radtts++ duration predictions tend to be close to zero when given random inputs. This can be an issue as a sequence with length less than the grouping size in the radtts flow operation will result in a crash.
The solution is to set the last input token to correspond to a ... | {
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} | Signed-off-by: arendu <adithya.r@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]
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# What does this PR do ?
This tutorial requires users to download datasets from NGC, but we did not provide any guidance about how to install NGC registry CLI. Verified to running through without errors.
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Not sure if this is intended to be supported or not, but I don't seem to be able to run the entire Conformer CTC Large in fp16 format in CUDA. The problem seems to occur because of a missing op in the preprocessor. This seem error is mentioned here: https://github.com/pytorch/pytorch/issues/7168... | {
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Signed-off-by: Xuesong Yang <1646669+XuesongYang@users.noreply.github.com>
# What does this PR do ?
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**Collection**: [Note which collection this PR will affect]
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During inference, radtts++ duration predictions tend to be close to zero when given random inputs. This can be an issue as a sequence with length less than the grouping size in the radtts flow operation will result in a crash.
The solution is to set the last input token to correspond to a ... | {
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# What does this PR do ?
This tutorial requires users to download datasets from NGC, but we did not provide any guidance about how to install NGC registry CLI. Verified to running through without errors.
Add a one line overview of what ... | {
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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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[STT] Add Esperanto (Eo) ASR Conformer-CTC and Conformer-Transducer models
**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 ?
patch to allow using tokenizers without additional_special_tokens_ids…
**Collection**: [NLP]
# Changelog
- checks for `additional_special_tokens_ids` attribute in tokenizer.
# Usage
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[STT] Add Esperanto (Eo) ASR Conformer-CTC and Conformer-Transducer models
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} | # What does this PR do ?
Adds AWS SageMaker example notebooks for ASR!
**Collection**: ASR
# Changelog
- Add AWS SageMaker examples to NeMo repo.
# 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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I've been testing the NeMo diarization example, using clustering inference on many different datasets and inputs using CPU only. On files up to 90 minutes in length, the diarizer reached around 25Gb RAM consumed in the clusterization stage. When I tried to diarize a 4 hour file that has 2 speakers using CPU o... | {
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In the Setup I get this:
`ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source... | {
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Per-micro-batch input loader and sampler for Megatron-based language models
# Changelog
- `Use dataloader_iter` based step iterator API
- Update batch sampler to accommodate changes for global-batch-based sampling
- Update batch H2D copier
- Update training step hooks to reflect micr... | {
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Signed-off-by: Xuesong Yang <1646669+XuesongYang@users.noreply.github.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]
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} | # What does this PR do ?
Prompt learning CI tests are taking ~10 minutes to complete. Temporarily disabling them until they can be fixed.
**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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Found a few tests that are taking ~ 10 minutes to complete. Disabling them until they can be fixed.
**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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EMA saves a separate EMA based ckpt when normally saving. The problem is when saving a set amount of checkpoints (i.e k=5) the older EMA ckpts are not being deleted. This means there is an excess of EMA based ckpts.
What is expected is that older EMA ckpts are deleted.
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**Collection**: [Note which collection this PR will affect]
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} | # What does this PR do ?
Reports the model size of enc-dec models across model parallel groups similar to BERT/GPT
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} | # What does this PR do ?
This PR fixes a missing import.
**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 how ... | {
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} | # What does this PR do ?
Suggestion in slack to reduce confusion. The current message made it seem like the EMA weights are loaded into the main weights which is incorrect.
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor guidelines](https://github.com/NV... | {
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Makes training and validation batch sizes separately configurable for T5 prompt learning. Related to https://jirasw.nvidia.com/projects/NLP/issues/NLP-393?filter=allopenissues
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Running `test_cache_datastore_manifests` with `cache_audio=True` started to fail in CI.
Here we disable it temporarily to unblock CI.
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The address graph is too permissive and always transduces "OK" to "Oklahoma" even in cases when it is not a part of an address.
Could be nice to add some test cases that evaluate the performance of the graph in cases where OK is/is not a part of an address or not, maybe also extending the add... | {
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I trained a pre-trained model Bert on the Squad dataset for question_answer but to get the answer for a single question there is nothing that **model.inference** provides me as it only accepts a file.
```
model = BERTQAModel.restore_from(config.mo... | {
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} | # What does this PR do ?
Update documentations and tutorials for adapters
**Collection**: [ASR, Core]
# Changelog
- Update tutorial to include info about adapter changes and type checking
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor guidelines... | {
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[[NeMo Online Speaker Diarization VIDEO DEMO LINK](
https://drive.google.com/file/d/15ro8HKmzevXh_wx9oTtfRUw9wNtj6LuJ/view?usp=share_link)]
# What does this PR do ?
Part 2 for adding core classes and functions for online clustering diarizer.
** As soon as [... | {
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} | # What does this PR do ?
This PR adds a yaml file for the conformer transducer model with a stateless decoder.
**Collection**:
ASR
# Changelog
# Usage
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/N... | {
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# What does this PR do ?
Previously, the char set pattern `[À-ÿ]` includes math operators, such as `÷` and `×`. Revise the pattern to exclude these.
```
ord("À")
Out[5]: 192
ord("ÿ")
Out[6]: 255
chr(247)
Out[8]: '÷'
chr(215)
Ou... | {
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# What does this PR do ?
Removes `eval_tts_scores()`, which was unused and had `pesq` (unmaintained) and `pystoi` dependencies.
**Collection**: TTS
# Changelog
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# What does this PR do ?
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} | currently the model is doing essentially nothing.
Next todos:
* adjust the loss to only account for the generated window
* get spectrogram generation in validation runs working
* come up with a reasonable architecture which includes the text embeddings
* move to VM | {
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} | # What does this PR do ?
Port Music Megatron implementation onto NeMo
**Collection**: [Note which collection this PR will affect]
adding one more music tokenizer to tokenizer for megatron_gpt_pretraining.py
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can p... | {
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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
# Add a cod... | {
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} | # What does this PR do ?
Implementation of VITS model
**Collection**: [TTS]
# 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 ... | {
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Unable to load pre-trained speaker label model
**Steps/Code to reproduce bug**
```
import nemo.collections.asr as nemo_asr
speaker_model = nemo_asr.models.EncDecSpeakerLabelModel.from_pretrained(model_name='titanet_large')
```
**Expected behavior**
Just loading a pertained model shoul... | {
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Hi,
When we use [`eval_beamsearch_ngram.py`](https://github.com/NVIDIA/NeMo/blob/main/scripts/asr_language_modeling/ngram_lm/eval_beamsearch_ngram.py) code for large data sets (e.g., with 500,000 utterances), the code crashes after some hours of computation (i.e., the OS kill automatically the process!!). ... | {
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Might be useful to update the minimum version requirements of PL for Nemo
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} | Signed-off-by: Xuesong Yang <1646669+XuesongYang@users.noreply.github.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.
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Removed unnecessary busy waiting in loop
**Collection**: [Core]
# Changelog
- Remove busy waiting in tight loop
# 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/CONTRIBU... | {
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We missed a c/p mistake in just-merged PR #5569.
This bug does not affect default functionality, just the new param added in #5569.
Fix:
When setting up validation and test data, we need to use `setup_multiple_*`.
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**Collection**: NLP - language modeling
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Suffixes to numbers like double and triple are currently missed/unhandeled. So for a transcript like double 357 should actually return 3357.
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I tried following things, but none of them is working:
1. I have used **conformer_transducer_bpe.yaml** thinking that the decoder config parameters ... | {
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