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* Fix T5 mask when using FA
* Add additional configs
**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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Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
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adds a warning for multiple peft scripts.
**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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A clear and concise description of what the bug is.
Hello, we are running a Dutch trained version of the conformer RNNT large model.
However, in a small amount of cases we receive the following list index out of range error.
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} | Currently, `AudioCodecModel` training fails on `main` due to changes in PTL 2.0.
# What does this PR do ?
This PR is fixing two issues when using PTL 2.0.
**Collection**: TTS
# Changelog
- Support for `training_epoch_end` has been removed in v2.0.0, and we use `on_train_epoch_end`
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} | # What does this PR do ?
Write an extra line at the end of the ASS files which will ensure the subtitles of the final segment are visible until the end of the video. Without this, it means that if we create an MP4 file from an audio file by writing the subtitles on a plain background, at the end of the video we are ... | {
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Update TTS configs so they run with PTL 2.0
**Collection**: [TTS]
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- Replace _ddp_ with _ddp_find_unused_parameters_true_ for all vocoder recipes, otherwise it fails because there are unused parameters during the alternating generator and discriminator training steps.
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I have two concerns... | {
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} | # What does this PR do ?
Rename spk_emb api to speaker_encoder
**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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Fixed samples processing:
- removed multiple conversions from text_to_ids and ids_to_tokens which causes the difference in the token amounts between these operations
- changed the prompt template processing: tokens inside the prompt template (eg "<extra_token_1") are converted to token_ids ... | {
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Refer to the [comments](https://github.com/NVIDIA/NeMo/blob/main/nemo/collections/nlp/models/language_modeling/megatron_gpt_model.py#L677), Layernorm parameters need to be all-reduced across model parallel nodes when sequence parallelism is used.
NeMo find layernorm parameters through '`seq... | {
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} | # What does this PR do ?
NeMo uses `apex.normalization.fused_layer_norm.MixedFusedLayerNorm` when the `persistent_layernorm` is false.
But the `apex.normalization.fused_layer_norm.MixedFusedLayerNorm` doesn't set sequence_parallel.
And the `apex.transformer.layers.layer_norm.MixedFusedLayerNorm` will set seq... | {
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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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} | null | null | null | Hi.
I tried to run my MSDD model (using TITANET-large as speaker embedding model) in serving mode, meaning loading the model once and inference it in several processes, and in order to do so I need to use torch share_memory method.
when I use share_memory method I get the following error when I start the process:
At... | {
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} | # What does this PR do ?
Not sure why missing lib import did not raise any errors.
* added missing import for `Trainer` and `NemoConfig`;
* unify `'Trainer'` into `Trainer` as a variable type hint.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info ... | {
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I tried to execute the notebook in google colab (`https://github.com/NVIDIA/NeMo/blob/stable/tutorials/asr/Online_Offline_Speech_Commands_Demo.ipynb`)
While running the code block:
```python
wave_file = demo_wave
CHANNELS = 1
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} | # What does this PR do ?
The PR fixes the progress bar stdout in megatron models to remove the `s/it` or `it/s` and instead display the actual cuda synchronized train step timing.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes i... | {
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} | # What does this PR do ?
Fix the following issues with the previous lightning 2.0 upgrade PR:
1) Decrease `val_check_interval` to 1 while resuming from a ckpt in some CI tests where max_steps is same as that of training and lightning 2.0 errors: [fit_loop.py#L259](https://github.com/Lightning-AI/lightning/blob/2.... | {
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} | # What does this PR do ?
update readme regarding container version and python version
**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 co... | {
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When TensorRT optimizes Nemo GPT models it uses a different mask shape in the Context phase (triangular mask, i.e. causal) and in the Generation phase (1D mask, i.e. padding).
To support this TensorRT needs to control GPT's encoder mask type (which defaults to causal) via the model configur... | {
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---------------------
(1): JasperBlock(
(mconv): M... | {
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Current `hydra-core` version (`hydra-core>=1.2.0,<1.3` from `requirements/requirements_lightning.txt`) doesn't work with Python 3.11: see #7166
**Describe the solution you'd like**
Now, after [Upgrade to pytorch lightning 2.0](https://github.co... | {
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GPT training with long-context input (e.g., sequence length of 16, 32K, 64K) can easily overflow GPU memory with huge activations. Context parallelism splits long-context input along the dimension of sequence length, parallelizes partitioned sequence segments among multiple GPUs. In this way... | {
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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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Make sure all bugfixes and doc updates were properly cherry picked to main.
**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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} | null | null | null | **Describe the bug**
After installing latest stable `1.19.1` from pipI, or the latest current commit with `[asr]` extras, I'm getting this error from `hydra-core==1.2.0` when trying to import `nemo.collections.asr`:
```
Traceback (most recent call last):
File "/home/alex/T7/src/speaker_verification/nemo_speaker... | {
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python /workspaces/TTS/nemo/examples/tts/hifigan_finetune.py --config-path /workspaces/TTS/nemo/examples/tts/conf/hifigan --config-name hifigan.yaml model.max_steps=200000 model.optim.lr=0.00001 ~model.optim.sched train_dataset=/workspaces/TTS/data/train_manifest_mel_test.json validation_datasets... | {
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When changing activation to `swiglu` and enable `sequence_parallel`, the training crashes.
**Steps/Code to reproduce bug**
1. Checkout out repo tag: `git checkout v1.19.1`
2. Config modifications:
```diff
--- a/examples/nlp/language_modeling/conf/megatron_gpt_config.yaml
+++ b/ex... | {
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} | null | null | null | Hi I am trying to install NeMo on aarch64 RasberryPi 4 64bit Bulleye. I wonder if anyone have a feasible way to install NeMo and make it run on Raspberry Pi 4?
I try the method **Pip from source**, and I run the `./reinstall.sh`, I found it fails while installing the pynini. Then I follow methods on https://pypi.org... | {
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} | # What does this PR do ?
Modify the `ASSFileConfig` so we can specify the colors of the text and its vertical alignment.
**Collection**: `tools/nemo_forced_aligner`
# Changelog
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} | # What does this PR do ?
Simplify LLM pretraining example scripts by moving common logic into a new `TrainerBuilder` and `exp_manager`.
**Collection**: [Note which collection this PR will affect]
# Changelog
- add a `TrainerBuilder` type that hides some common logic for setting up a `Trainer`
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I don't know what was intended here, but to me it's clear there is redundency or error, because `self.n_fft // 2 * 2` is the same as just `self.n_fft`. Perhaps it was inten... | {
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**Collection**: [Note which collection this PR will affect]
# Changelog
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# Usage
* You can potentially add a usage example below
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} | # What does this PR do ?
This PR contains all of the changes needed to support training TTS models with large, multi-utterance files.
Related features are all experimental, and the change is not backwards compatible as I had to change feature files from _.pt_ to _.npy_ so I could memory map them to avoid reading ... | {
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} | # What does this PR do ?
Bugfix to prevent errors being thrown if the substring specified as an `additional_segment_grouping_separator` is placed at the beginning or end of reference text, or if 2+ of these substrings are placed next to each other in the reference text.
**Collection**: tools/nemo_forced_aligner
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} | # What does this PR do ?
In a separate PR (https://github.com/NVIDIA/NeMo/pull/6852) it was brought up that TTS is using nested hydra config, which is against NeMo 1 config file per model policy.
This PR removes nested config from our experimental FastPitch and HiFiGan in favor of a flat structure with duplicated... | {
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In the case where we are training GPT with distopt, BF16 grads, and pipeline parallelism, we are not properly synchronizing the embedding grads between the first and last pipeline stage. The embeddings were being accumulated into BF16 buffers and the pipeline-parallel reduction was on FP32 b... | {
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} | # What does this PR do ?
adds a self.freeze() during peft model init to prevent memory spike during startup.
**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 ?
Support FSDP + (Tensor parallelism) for Transformer models.
What's missing in the PR
1. Sharded checkpoint store and load (not critical at the moment)
2. Decouple the module granularity of full-activation recomputation and FSDP sharding to remove AG in recomputation
3. CPU initializati... | {
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} | # What does this PR do ?
* Add support for multiple contexts and truncation_field
* Add support for truncation in the middle of prompt_template
* Arguments
* Remove context_key
* Remove separate_prompt_and_response_with_newline
* Add truncate_method
* Change the truncation logic to the following
1. Sp... | {
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I am creating an MTEncDecModel model and the gpu memory allocated never gets freed.
Specifically, I want to create an MTEncDecModel model for english to german, perform some translations, delete then model, then create an MTEncDecModel model for english to french, perform some translations, ... | {
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I am using nemo docker v23.04 , but I also observe the following behavior in a conda environment too.
I am training several conformer models ( same behavior using fastconformer transducer or conformer transducer) with several perturbations ( speed and noise from musan) and at the end of the... | {
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} | # What does this PR do ?
There is a bug when performing RNNT/CTC decoding with hybrid models.
By default `att_context_size` should be [-1,-1] which is what set as default, but if None is passed through cfg, it replaces the current value, which shouldn't be the case.
**Collection**: ASR
# Changelog
- cha... | {
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} | # What does this PR do ?
There is a bug when performing RNNT/CTC decoding with hybrid models.
By default `att_context_size` should be [-1,-1] which is what set as default, but if None is passed through cfg, it replaces the current value, which shouldn't be the case.
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https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/v1.0.0/nlp/megatron_finetuning.html
However, I haven't found any steps to get started with that do I need to make any code changes so that I can run the code on mul... | {
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Rename `megatron_amp_o2` to `megatron_amp_O2` in source code to be consistent
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Fix vad_utils.py for r1.12.0
Redoing https://github.com/NVIDIA/NeMo/pull/7113 for r1.20.0
**Collection**: ASR
# Changelog
The lines that are treating "None" in vad_utils.py
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I was hoping the NVIDIA team would release a script to evaluate the generated synthetic data appropriately, Fine grained , course grained and medium grained evaluations shown in the video was done very nicely. Please release the script for that.
Best Regards | {
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} | # What does this PR do ?
Support grouped query attention for language modelling, with torch attention and flash attention 2.
**Collection**: NLP
# Changelog
Support grouped query attention for language modelling, with torch attention and flash attention 2.
- Added parameter parse to enable GQA for gpt like ... | {
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I trained msdd model but I stopped the training (not waited until the max_epoch value), is there any script to convert the ckpt file into nemo file, the ckpt file contain all the optimizer params and gradients.
please advise. | {
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} | # What does this PR do ?
Add updated FC-XXL RNNT and CTC models
**Collection**: ASR
# Changelog
- Add pre trained models to code
- Add to docs
# Usage
```python
# FC Transducer BPE models
from nemo.collections.asr.models import EncDecRNNTBPEModel
fc_xxl_rnnt = EncDecRNNTBPEModel.from_pretrained('s... | {
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Add updated FC-XXL RNNT and CTC models
**Collection**: ASR
# Changelog
- Add pre trained models to code
- Add to docs
# Usage
```python
# FC Transducer BPE models
from nemo.collections.asr.models import EncDecRNNTBPEModel
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} | # What does this PR do ?
Fix vad_utils.py for r1.12.0
Redoing https://github.com/NVIDIA/NeMo/pull/7113 for r1.20.0
**Collection**: ASR
# Changelog
The lines that are treating "None" in vad_utils.py
# Usage
Run Speaker_Diarization_Inference.ipynb
# Before your PR is "Ready for review"
**Pre check... | {
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} | # What does this PR do ?
Fix import guards properly
**Collection**: [ASR, NLP]
**PR Type**:
- [ ] New Feature
- [x] Bugfix
- [ ] Documentation
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} | # What does this PR do ?
Fix import guards for flash attention and DALI
**Collection**: [ASR, NLP]
# Changelog
- Add AttributeError support for import where classpath resolution fails.
- Add import guards to pynvml
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and follow... | {
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Refactoring to make MegatronGPTModel dataset building more flexible.
In particular this allows subclasses to use a different `build_datasets_strategy` without having to copy / paste the full `build_train_valid_test_datasets()` method.
**Collection**: `nlp`
# Changelog
- Add a new ... | {
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I wanted to setup a dev conda environment for NeMo, so I followed steps at https://github.com/NVIDIA/NeMo/tree/main#from-source
Afterwards `pytest --cpu` was failing (before it could even run any test) with two errors:
* `module 'nvidia' has no a... | {
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} | * Push changes
* Fixes
* add continue training script
* [WIP] nonlinear interp
* Fix
* override encoder_seq_len
* Remove nonlinear
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* sft with pi (#7006)
* sft ... | {
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I was training a MegatronGPTModel using `megatron_gpt_pretraining.py` and a machine with H100 chips. When I set `transformer_engine=true` I later noticed that my requested `activation=fast-swiglu` was ignored.
I traced the issue back to the [transformer.py](./nemo/collections/nlp/modules/com... | {
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} | # What does this PR do ?
Correctly pass `rotary_pos_emb` and `relative_position_bias` to TE.
**Collection**: [Note which collection this PR will affect]
[NLP]
# Changelog
- nemo/collections/nlp/modules/common/megatron/transformer.py
# Usage
* You can potentially add a usage example below
```python
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} | # What does this PR do ?
Fixes a small indexing bug inside the NoisePerturbationWithNormalization class in perturb.py
**Collection**: ASR
# Changelog
- nemo/collections/asr/parts/preprocessing/perturb.py: added safety check to ensure you don't index into scalar value
# Before your PR is "Ready for review"... | {
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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
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# What does this PR do ?
Adds distributed checkpointing when using mcore gpt.
Distributed checkpointing enables training runs to restart automatically with different model parallel configs.
The checkpoint is saved to disk according to the ... | {
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} | # What does this PR do ?
Set a default value when getting `rampup_batch_size`. Otherwise, configs without setting the value would result in errors.
**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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*... | {
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I was trying an online diarizer with reference to this PR(https://github.com/NVIDIA/NeMo/pull/5609). I am using the Nemo Frame VAD and modified it to directly output vad_timestamps (e.g., tensor([[0.0000, 1.5200, 1.5300]])). Then, I call diarize_step function every two seconds, as I'm not quite sure what one "st... | {
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} | In this PR.
1. include scripts for preprocess OAST datasets.
2. annotate the datasets using reward model.
3. clean up the data for training.
4. include the unit tests to make sure the Chat SFT datasets produced expected masks.
5. add support in the UI to run attribute condition generations.
6. add HF dataset a... | {
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} | null | null | null | **Describe the bug**
`nemo.collections.asr.models.EncDecSpeakerLabelModel.verify_speakers` has excessive embeddings normalization. First computed ambeddings are normalized here:
```
# Length Normalize
X = embs1 / torch.linalg.norm(embs1)
Y = embs2 / torch.linalg.norm(embs2)
```
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} | # What does this PR do ?
Hopefully fix the microphone access error for the transcription demo on the ASR docs main page.
**Collection**: docs
# 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 s... | {
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```jupyter-notebook
Collecting wget
Downloading wget-3.2.zip (10 kB)
Preparing metadata (setup.py) ... done
Building wheels for collected packages: wget
Building wheel for wget (setup.py) ... done
Created wheel for wget: filename=... | {
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I am using Ubuntu 22.04.2 LTS**
File "/home/deb/.local/lib/python3.10/site-packages/nemo/core/classes/common.py", line 852, in from_pretrained
instance = class_.restore_from(
File "/ho... | {
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} | # What does this PR do ?
Add BLOOM model support to NeMo.
**Collection**: [Note which collection this PR will affect]
[NLP]
# Changelog
- Add BLOOM model architecture.
- Add input embedding layernorm to the language model.
- Add model configurations.
- A conversion script to convert HuggingFace ch... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/7106 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/7106/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/7106/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/7106/events | https://github.com/NVIDIA/NeMo/pull/7106 | 1,820,506,061 | PR_kwDOC_bI7s5WV7eJ | 7,106 | fix syntax error introduced in PR-7079 | {
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} | # What does this PR do ?
Fix quotes causing syntax error in notebook json
**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 d... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/7105 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/7105/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/7105/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/7105/events | https://github.com/NVIDIA/NeMo/pull/7105 | 1,820,334,983 | PR_kwDOC_bI7s5WVWNO | 7,105 | bug fix - alibi causal: for ith query, bias is m · [−(i − 1), ..., −2, −1, 0] for the first i keys | {
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} | # What does this PR do ?
Fix alibi position embedding for causal attention.
**Collection**: NLP
# Changelog
Existing: returns (1, num_heads, 1, key_length)
Fixed: returns (1, num_heads, query_length, key_length), where for ith query, the bias is m · [−(i − 1), ..., −2, −1, 0] for the first i keys, as per... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/7104 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/7104/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/7104/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/7104/events | https://github.com/NVIDIA/NeMo/issues/7104 | 1,819,829,068 | I_kwDOC_bI7s5seGNM | 7,104 | When importing nemo.collections.asr: ImportError: cannot import name 'get_num_classes' from 'torchmetrics.utilities.data' | {
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```
(...)
File "/asr/asr_solution.py", line 34, in <module>
import nemo.collections.asr as nemo_asr # NeMo's ASR library
File "/usr/local/lib/python3.10/site-packages/nemo/collections/asr/__init__.py", line 15,... | {
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} | # What does this PR do ?
In certain scenarios(ex: single stage embeddings) there are no gradients for a rank with sequence parallel. This PR will skip the all reduce on those ranks.
**Collection**: [NLP]
# Changelog
- skip seqparallel all reduce on no grads
# Usage
* You can potentially add a usage exam... | {
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} | # What does this PR do ?
Fix quotes causing syntax error in notebook json
**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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most of the time GPU utilization is on 0%
First the data is split into short segments according to the number of scales (I have 5 scales).
After eac... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/7099 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/7099/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/7099/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/7099/events | https://github.com/NVIDIA/NeMo/pull/7099 | 1,818,905,415 | PR_kwDOC_bI7s5WQfHo | 7,099 | Fix absolute path in path join call | {
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} | # What does this PR do ?
This fixes a regression introduced in 39aff5ca3d52247e136a86429d567255c02a5d44 when joining paths was changed from string concatenation to `os.path.join`. At the moment the call disregards the first part (`frame_pred_dir`) and always returns a path starting with `/overlap_smoothing_output`.
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} | null | null | null | Hi!
I was trying to find a place where SLU metrics are computed. AFAIU this is going to be [here](https://github.com/NVIDIA/NeMo/blob/main/examples/slu/speech_intent_slot/eval_utils/evaluator.py#L92). But I can't find where ```ErrorMetric ``` class is defined. Are you planning to make this code publicly available?
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} | null | null | null | I think currently, the RNN-t loss supports any padding for every example in batch except the longest example. What is the nature of such limitation? (as it seems that the underlying code is already able to handle padding, so not clear why the longest example is different)
Original discussion: https://github.com/NVID... | {
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} | # What does this PR do ?
Add GQA config in GPT config file.
__Note__ that this PR merge into `mcore_gpt_path` not `main`.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* Set `num_query_groups` in `Megatr... | {
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} | # What does this PR do ?
This fixes a bug reported by @wdykas, where https://github.com/NVIDIA/NeMo/pull/5684 significantly increased the size of GPT checkpoints.
I think this is because this PR configures the model parameters so they are all views into a single large buffer. However, PyTorch tensors save their u... | {
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} | # What does this PR do ?
This PR adds the following items related to multi-lookahead cache-aware streaming models:
+ documentation
+ support of multi-lookahead for transcribe_speech.py, transcribe_speech_parallel.py, and speech_to_text_eval.py,
+ one pre-trained model which is uploaded on NGC and supports 0s, 80... | {
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} | # What does this PR do ?
This PR adds a path to use GPTModel from Megatron Core.
Requirements:
Make sure that megatron core is installed from a recent commit:
```
git clone https://github.com/NVIDIA/Megatron-LM.git && \
cd Megatron-LM && \
git checkout 3316e811cc5335ee24c2d203416d86... | {
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} | # What does this PR do ?
Adds a script which extracts pure CTC or pure RNNT models from ASR hybrid models in .nemo format
**Collection**: ASR
# Changelog
- Added new script in examples/asr/asr_hybrid_transducer_ctc/helpers/convert_nemo_asr_hybrid_to_ctc.py
# Usage
* You can potentially add a usage exampl... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/7091 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/7091/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/7091/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/7091/events | https://github.com/NVIDIA/NeMo/pull/7091 | 1,816,264,599 | PR_kwDOC_bI7s5WH2Li | 7,091 | Fix tensor_parallel function calls to megatron-lm | {
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} | # What does this PR do ?
Megatron-LM has changed its function APIs in tensor_parallel, where a lot of params (e.g., `use_cpu_initialization`) are moved into a config object (e.g., `megatron.core.model_parallel_config.ModelParallelConfig`), for example [here](https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/c... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/7088 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/7088/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/7088/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/7088/events | https://github.com/NVIDIA/NeMo/pull/7088 | 1,815,000,132 | PR_kwDOC_bI7s5WDmOT | 7,088 | update TTS readme | {
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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.
# Usage
* You can potentially add a usage example below
```python
# Add a cod... | {
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