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} | # What does this PR do ?
Updates docs for NeMo framework
**Collection**: [All]
# Changelog
- Move LLM to top, ASR next, Multimodal 3rd
- Move introduction to index.rst Som Note: Injected entire intro.rst into index.rst for now - it looks cleaner and if user explicitly visits the intro page they get same co... | {
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Updates text for domains on website
**Collection**: [Website]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Jenkins CI
To run Jenkins, a NeMo User with write access must comment `jenkins` on the PR.
# Before your PR is "Ready for review"
**P... | {
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Change rope fusion default as a workaround for #8590
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} | # What does this PR do ?
Fix : You can now completely use the `minimum_timestamp_duration` option, which bugged if the value was too large.
**Collection**: ASR
# Changelog
As we could see in the traceback, the problem appeared during the use of the `get_ctm_line` function because `start_time` was a type of *... | {
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"PR with fix has been merged, so closing this. Thank you for the fix."
] | 2024-03-05T22:23:12 | 2024-03-22T19:53:04 | 2024-03-22T19:53:04 | CONTRIBUTOR | {
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I wanted to put a `minimum_timestamp_duration` to visualize the result given by nemo forced aligner with [Gecko](https://github.com/gong-io/gecko) as the documentation recommends.
When I change the value of `minimum_timestamp_duration` to 0.4, it's all good.
If I try to change the `minimum_time... | {
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"Just noticed the base branch needs to be changed to `main`",
"opened #8594 instead",
"closed in favor of #8594 "
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Change rope fusion default as a workaround for #8590
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"This issue is stale because it has been open for 30 days with no activity. Remove stale label or comment or this will be closed in 7 days.",
"fixed in nemo 24.03 release / megatron core 0.6.0 release"
] | 2024-03-05T21:36:02 | 2024-04-05T13:52:59 | 2024-04-05T13:52:58 | COLLABORATOR | {
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} | null | null | null | **Describe the bug**
Opening a github issue for public tracking purposes. (internal #4489257)
megatron_gpt_eval.py throws the following error:
```
...
core_attn_out = super().forward(
File "/usr/local/lib/python3.10/dist-packages/transformer_engine/pytorch/attention.py", line 2099, in forward
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} | # What does this PR do ?
Safer fix for https://github.com/NVIDIA/NeMo/pull/8587#event-12018166291
Metrics should accumulate between calls. This little fix allows that function for `WER`.
**Collection**: [ASR]
# Changelog
- Added accumulation to wer metrics
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} | # What does this PR do ?
Fix metric calculation in the case fused batch size > 1 during training / validation calculation.
Previously, the RNNT metric was stateful while the CTC one was not ([r1.22.0](https://github.com/NVIDIA/NeMo/blob/r1.22.0/nemo/collections/asr/metrics/rnnt_wer_bpe.py#L419-L420), [r1.23.0](ht... | {
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"This issue is stale because it has been open for 30 days with no activity. Remove stale label or comment or this will be closed in 7 days.",
"This issue was closed because it has been inactive for 7 days since being marked as stale."
] | 2024-03-05T16:46:59 | 2024-04-13T01:39:10 | 2024-04-13T01:39:10 | CONTRIBUTOR | {
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validation consumed samples is always set to 0 in megatron gpt pretraining ([link](https://github.com/NVIDIA/NeMo/blob/a06835f50dd18a67f5b4fedfb56985f9b3573985/nemo/collections/nlp/models/language_modeling/megatron_gpt_model.py#L1342)). On resuming training from a checkpoint, consumed samples fo... | {
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"Thank you very much for raising this! We have fixed it in this PR - https://github.com/NVIDIA/NeMo/pull/8587 \r\nIt occurred due to a large refactor and unification of metrics in ASR to make it simpler to extend in the long run. \r\n\r\nThe patch will be there in the next NeMo release, and we have added a release ... | 2024-03-05T16:28:14 | 2024-03-14T08:02:35 | 2024-03-14T08:02:35 | NONE | {
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} | null | null | null | **Describe the bug**
As shown in
(https://github.com/NVIDIA/NeMo/blob/main/nemo/collections/asr/metrics/wer.py#L349-L350), the new scores and words will be assigned to the object and the pervious scores and words are dropped.
1) we might rename this function to WER.set
or
2) we might update the code as
> self.s... | {
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"This PR is stale because it has been open for 14 days with no activity. Remove stale label or comment or update or this will be closed in 7 days.",
"This PR was closed because it has been inactive for 7 days since being marked as stale.",
"@nithinraok Hi, can you please approve new PR and re-open it.",
"@fed... | 2024-03-05T12:56:11 | 2024-04-11T14:28:48 | 2024-04-11T14:10:47 | CONTRIBUTOR | {
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} | # What does this PR do ?
**Helps to speed up ASR models training without quality degradation.**
The experiments below showed a **19-12% training speed up with the same quality** for the some models.
**Collection**: ASR, core
# Changelog
- `nemo/collections/asr/parts/utils/asr_batching.py`
Add a sem... | {
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"jenkins",
"jenkins",
"jenkins",
"jenkins"
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} | # What does this PR do?
Added dropout_position key in the Lora config to decide the dropout position in Lora adapter. Both [official](https://github.com/microsoft/LoRA/blob/main/loralib/layers.py#L149) Lora implementation and [PEFT](https://github.com/huggingface/peft/blob/9119b780ebac7859db5753ebad50d94ba803c99c/sr... | {
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"This issue was closed because it has been inactive for 7 days since being marked as stale."
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**Code:**
```
import nemo.collections.asr as nemo_asr
from sanic import Sanic
app = Sanic(__name__)
if __name__ == '__main__':
app.run(debug=True)
```
**Error Message:**
`RuntimeError: ... | {
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"> I'm not convinced that users will be able to jump to this config as easily as Piotr believes, but I won't block it since ... | 2024-03-05T00:13:30 | 2024-04-16T13:18:50 | 2024-04-16T13:18:49 | COLLABORATOR | {
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} | # What does this PR do ?
We add a new (optional) way to specify training data for NeMo speech collections. This is intended for experiments which combine potentially many datasets. The configs below are intended as a key under `model.train_ds` in training script configs. We also support providing a path to YAML file... | {
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"merged_at": "2024-03-05T17:48:29"
} | # What does this PR do ?
When using compute_timestamps with RNNT models, an error is encountered because of a missing `copy` import (where `copy` is Python's built-in [copy](https://docs.python.org/3/library/copy.html) module).
**Collection**: ASR
# Changelog
- One-line change: `import copy` at top of [rnnt_... | {
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"This issue was closed because it has been inactive for 7 days since being marked as stale."
] | 2024-03-04T23:24:32 | 2024-04-11T01:44:38 | 2024-04-11T01:44:38 | NONE | {
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This code here does not produce audio that covers the Text I provide in the code below, I only get 11 seconds of Audio. Also what is the maximum length of audio that can be produced at a time?
``... | {
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Some dimensions of the cached states should be exported as static, not dynamic.
**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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"@athitten, can you take a look at this when you have time?",
"@ksivaman this issue should be fixed in this PR: [PR 8663](https://github.com/NVIDIA/NeMo/pull/8663). Can you please help review it ? Thank you."
] | 2024-03-04T20:17:40 | 2024-03-20T00:03:55 | 2024-03-20T00:03:55 | MEMBER | {
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```
raise MisconfigurationException(
lightning_fabric.utilities.exceptions.MisconfigurationException: Trainer was configured with `enable... | {
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} | When resuming a training job, the pytorch lightning trainer seems to use the data loader to determine the number of total steps left in the epoch. When you kill/resume a training job partway through, the data sampler length will be reduced by `consumed_samples` in the current implementation, while the current step of t... | {
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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
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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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"Yes, only one cycle. It is preferred to use max steps since it makes it easier to configure the scheduler but you can provide other args and it will work fine ",
"Thank you for the clarification!\r\n\r\nRegarding model averaging, the paper mentions taking average of the last 5 checkpoint. In your implementation,... | 2024-03-04T14:19:12 | 2024-03-05T06:19:43 | 2024-03-05T06:19:42 | NONE | {
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I don't see the max_steps specified in this [config](https://github.com/NVIDIA/NeMo/blob/main/examples/asr/conf/fastconformer/fast-conformer_ctc_bpe.yaml#L184) for Fast-Conformer CTC BPE. Does that mean there's only one cycle in the whole training process because the max_steps param will be the total training st... | {
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} | null | null | null | **Problem statement**
~ I'm working on the "Stable-Diffusion" model.
~ while converting to ".nemo" I'm facing some issues in the code from file "convert_external_clip_to_nemo.py" on line 41
~ This is the import line:
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} | # What does this PR do ?
Fix missing import introduced at [nemo/utils/export_utils.py#450@e6ee3312](https://github.com/NVIDIA/NeMo/commit/e6ee3312fb3f35b9d95b54b64c2abed4574708b9)
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes i... | {
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Hardware - CPU
Operating System - ubuntu 20.04 running on AWS EC2 g4dn.2xlarge instance
I am currently trying to convert a model (several of different types but for now not even a FastPitch model is working)
In the past i had deployed several nemo pipelines to riva but that developing environm... | {
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"Hi, I'm facing the same problem in NeMo 2.0. It took me a long time to see ... | 2024-03-03T17:43:09 | 2024-11-29T09:10:08 | 2024-04-10T01:44:38 | COLLABORATOR | {
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**Collection**: ASR
# Changelog
- Added `PredictiveAudioToAudioModel` class and an example config
- Added `ScoreBasedGenerativeAudioToAudioModel` and an example config
- Added power and scale to `AudioToSpectrogram` and `Spectro... | {
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When trying to install nemo version 1.23.0 via poetry, I get this error:
```
#21 257.6 RuntimeError
#21 257.6
#21 257.6 Unable to find installation candidates for megatron-core (0.5.0)
#21 257.6
#21 257.6 at /usr/local/lib/python3.8/dist-packages/poetry/installation/chooser.py:76 i... | {
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# Usage
* You can potentially add a usage example below
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} | # What does this PR do ?
Adds manifest pre-sorting option (new default) ~and options to enable and control dynamic bucketing for inference~.
Depending on data distribution, pre-sorting can significantly increase inference speed (we observed as much as 2.5x throughput). ~Bucketing is approximate so expect smaller ga... | {
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"jenkins",
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"jenkins",
"jenkins",
"Docs changes does not need CI to pass, I can merge it if it's ready ",
"Merged "
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} | # What does this PR do ?
Update results.rst for Canary Inference, please feel free to modify
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My question is:
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} | # What does this PR do ?
* Update version to 0.2.86
* Pipe functionality removed and has been replaced with DataPipeline.
~~Add global_seed functionality to exp_manager for reproducibility.~~ <- will move to a separate PR
**Collection**: ASR, TTS, NLP
# Jenkins CI
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} | # What does this PR do ?
support megatron_amp_O2 for peft tuning
# Jenkins CI
To run Jenkins, a NeMo User with write access must comment `jenkins` on the PR.
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo... | {
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} | # What does this PR do ?
simply fix a code-breaking typo
**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
```
# Jenkins CI
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Few tensor creations caused HtoD pageable sync. Fixed that issue. | {
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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
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# Usage
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"This PR was closed because it has been inactive for 7 days since being marked as stale."
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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
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"@aschilling-nv All the doc strings errors with this PR should be resolved"
] | 2024-02-29T18:06:06 | 2024-03-01T17:13:09 | 2024-03-01T17:13:09 | COLLABORATOR | {
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} | # What does this PR do ?
Resolve documentation build errors in doc strings
Example formatting issues: https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/stable/asr/api.html#nemo-asr-collection-api
Check specific classes and methods for formatting error that currently exists.
**Collection**: ASR, c... | {
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"This issue was closed because it has been inactive for 7 days since being marked as stale."
] | 2024-02-29T17:38:50 | 2024-04-07T01:45:27 | 2024-04-07T01:45:26 | NONE | {
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I have ran experiments for Multinode model customization (PEFT) using Nemo Framework training container. I tried both LoRa and Ptuning techniques, from which we are able to run LoRa successfully with various combination of TP and PP values. Although, with Ptuning as we increase PP more than 1, e... | {
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"@michal2409 as far as I know we install `triton` in [here](https://github.com/NVIDIA/NeMo/blob/main/requirements/requirements.txt#L13) instead of `pytorch-triton`. Looks like you install `pytorch-triton` in your container? ",
"> @michal2409 as far as I know we install `triton` in [here... | 2024-02-29T14:05:19 | 2024-03-06T11:03:58 | 2024-03-06T11:03:57 | COLLABORATOR | {
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} | # What does this PR do ?
As far as pkg_resources is concerned, there's no such thing as triton. Instead, it recognizes pytorch-triton. Here's the fix. Also, if the pytorch-triton lib is missing, it raises pkg_resources.DistributionNotFound which currently is not being handled properly.
**Collection**: nlp
# Chan... | {
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} | # What does this PR do ?
Currently at test time, the test loss is logged as val_loss.
Remove the val_loss log and per data iterator test loss at test time, so the final eval report looks cleaner and less confusing.
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"I also meet the problem can't pull nvcr.io/ea-bignlp/ga-participants/nemofw-training too.",
"@thangdt277 Can you start to train with other images?\r\n",
"This issue is stale because it has been open for 30 days with no activity. Remove stale label or comment or this will be closed in 7 days."
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} | null | null | null | **Describe the bug**
Follow [NeMo Framework PEFT with Mistral-7B](https://docs.nvidia.com/nemo-framework/user-guide/latest/playbooks/mistralpeft.html)
First error , I can't pull image although I logged in nvcr.io successfully:
```
12345i@ai_pc:~/NEMO_TRAIN$ docker login nvcr.io
Authenticating with existing cre... | {
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} | Update mcore version in Dockerfile
# What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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Update transcribe call to match new api
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Fix the example command for convert_nemo_llama_to_hf.py
**Collection**: [Note which collection this PR will affect]
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rST fixes to help resolve erros and warnings when pulling from the submodule in NeMo Framework repo_docs repo.
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"This PR is stale because it has been open for 14 days with no activity. Remove stale label or comment or update or this will be closed in 7 days.",
"This PR was closed because it has been inactive for 7 days since being marked as stale."
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Iterating on README update for generative ai.
TODO: add key features back to readme instead of linking to them
**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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PEFT inference using .ckpt files
# 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
```
# Jenkins CI
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"Hmm can you try to see if you remove trailing new line in your manifest file, and also try to see if removing the json indent helps ?",
"@titu1994 I am experiencing much the same issue on my end. I tried as such and had no luck. I get the same JSON error as the one posted above. \r\nwhen doing as suggested by re... | 2024-02-27T23:57:23 | 2024-04-23T01:45:13 | 2024-04-23T01:45:13 | NONE | {
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This bug occurs when I try to use the canary-1b model, it is not processing the json file correctly
**Steps/Code to reproduce bug**
This is my code
```
from nemo.collections.asr.models import EncDecMultiTaskModel
# load model
canary_model = EncDecMultiTaskModel.from_pretrained('nvidia/c... | {
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} | # What does this PR do ?
Fix AccessMixin by using the `model_guid` inside `ModelPT`, such that different models don't overwrite each other's access config when calling `AccesssMixin.set_access_cfg()`, `AccesssMixin.update_access_cfg()` and etc.
**Collection**: [asr,core]
**PR Type**:
- [ ] New Feature
- [x... | {
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} | # What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
rST fixes to help resolve erros and warnings when pulling from the submodule in NeMo Framework repo_docs repo.
**Collection**: [Note which collection this PR will affect]
# Changelog
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} | # What does this PR do ?
Fix failing lhotse tests due to randomness
**Collection**: ASR
# Changelog
- Fix failing lhotse tests due to randomness
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
# Jenkins CI
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} | # What does this PR do ?
Fix multimodal data prep tutorial
**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 ho... | {
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} | # What does this PR do ?
Fix multimodal data prep tutorial
**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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**Collection**: [Note which collection this PR will affect]
# Changelog
- Add "CUDA graphs" implementation to label looping algorithm for greedy decoding (RNN-T and TDT)
# Usage
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Add model config for SC2 with comments for all 3 variant.
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- [ ] Bugfix
- [ ] Documentation
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# Usage
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Add Kaiming uniform initialization for LoRA adapters
**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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Accelerate CTC greedy decoding by around 10x, speeding up overall CTC runtime for parakeet-ctc-1.1b by close to 10%.
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There were a few problems with CTC greedy decoding before:
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Revert FP8 integration for compatibility with third party ckpts
**Collection**: [Note which collection this PR will affect]
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Fix a bug where ptuning training with O2 would not save buffers like `inference_table` to the checkpoint, which leads to errors during model evaluation.
**Collection**: NLP
# Changelog
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# Usage
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} | # What does this PR do ?
Fix link in multimodal dataprep tutoria
**Collection**: [Note which collection this PR will affect]
# Changelog
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# Usage
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Fix link in multimodal dataprep tutoria
**Collection**: [Note which collection this PR will affect]
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Fix link in multimodal dataprep tutorial
**Collection**: Multimodal
# Jenkins CI
To run Jenkins, a NeMo User with write access must comment `jenkins` on the PR.
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](h... | {
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RST code updates are made in the following RST files.
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1. Revert having num eval samples as 1 only for float `limit_val_batches` value until the issue of num of eval samples becoming 0 with CI datasets is figured.
2. Also, add import guards for megatron related imports in `gpt_full_te_layer_autocast_spec.py`
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Tutorial on Lhotse Dataloading for ASR fine-tuning
**Collection**: [Note which collection this PR will affect]
# Changelog
- Tutorial on Lhotse Dataloading for ASR fine-tuning
# Usage
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PR: [8328](https://github.com/NVIDIA/NeMo/pull/8328) moved ASR and TTS import tests to Jenkinsfile from github actions. This commit reverts that.
**Collection**: [Note which collection this PR will affect]
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} | # What does this PR do ?
Fix `scripts/speech_recognition/estimate_duration_bins.py` from multiple paths
**Collection**: ASR
# Changelog
- Fix `scripts/speech_recognition/estimate_duration_bins.py` from multiple paths
# Usage
* You can potentially add a usage example below
```python
# Add a code snipp... | {
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"This issue is stale because it has been open for 30 days with no activity. Remove stale label or comment or this will be closed in 7 days.",
"This issue was closed because it has been inactive for 7 days since being marked as stale."
] | 2024-02-26T10:22:29 | 2024-04-04T01:44:38 | 2024-04-04T01:44:38 | NONE | {
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} | null | null | null | from nemo.collections.asr.parts.speaker_utils import rttm_to_labels, labels_to_pyannote_object
IN Speaker_Diarization_Inference.ipynb is not running .
and thus the entire thing is not running
------------------------------------------------------------
error:
----------------------------------------------------... | {
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ModuleNotFoundError: No module named 'nemo.collections.multimodal.models'
I checked convert_external_clip_to_nemo.py is having correct path to megatron_clip_models.py | {
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"It seems the issue is due to CUDA 12.2 support for FP8 cuBLASLt matmul operations. After I use NeMo 24.01.framework `nvcr.io/nvidia/nemo:24.01.framework` which use CUDA 12.3, the issue is resolved.\r\n\r\nref: https://docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html",
"@houminz Hi, houminz. Could you t... | 2024-02-26T07:01:42 | 2024-04-19T01:44:45 | 2024-04-19T01:44:45 | NONE | {
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} | null | null | null | **Describe the bug**
We are trying to run GPT fp8 pretraining on NVIDIA H20 according to [NeMo docs](https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/stable/nlp/nemo_megatron/gpt/gpt_training.html) on single node with 8 GPUs
However, we get the error below:
```
Sanity Checking DataLoader 0: 0%| ... | {
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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
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} | # What does this PR do ?
Add FP8 support for SD training.
**Collection**: [multimodal/text_to_image/statble_diffusion]
# Changelog
- Add config argument - use_te_fp8 to switch between fp16 and fp8 training
- Add transformer engine fp8 layers to Stable diffusion Unet
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} | # What does this PR do ?
Fix `transcribe_speech.py` to use `audio_dir` as input instead of just `dataset_manifest`, also fix logging message. Tested on my local machine
**Collection**: [asr]
**PR Type**:
- [ ] New Feature
- [x] Bugfix
- [ ] Documentation
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} | # What does this PR do ?
[PR 8426](https://github.com/NVIDIA/NeMo/pull/8426) returns the `len(dataloader)` in terms of total num of micro batches. This PR fixes the `CustomProgressBar` for nlp models to accommodate this change and display the correct `current_step/total_steps` in the bar.
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"Can you please review and approve as soon as possible, the branch becomes out of sync every 2 hours and the whole workflow checks run again when I sync the branch to the main.\r\n\r\n@titu1994, @redoctopus, @jbalam-nv, @okuchaiev",
"Just a note, it's fine to not sync with main branch until it says there are merg... | 2024-02-23T19:25:11 | 2024-02-23T22:40:49 | 2024-02-23T21:23:01 | CONTRIBUTOR | {
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} | # What does this PR do ?
The code snippet calling `repalce` instead of `replace` which could raise an `AttributeError`. Updated the code with proper function name
PR for
https://github.com/NVIDIA/NeMo/issues/8488
**Collection**: automatic speech recognition(ASR)
# Changelog
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} | # What does this PR do ?
Fix multimodal tutorial links in user guide
# 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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"jenkins",
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# What does this PR do ?
Adds implementation of slimIPL algorithm.
# Usage
This can be used for pseudo-labeling if in the config "ipl" parameters are given
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor guideline... | {
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"which `${INIT_CKPT}` did you use? could you also provide the full error log?",
"for `${INIT_CKPT}` I use `.nemo` checkpoint trained with same model config, the only difference in the config is that now iterCTC is enabled.\r\n```\r\ninterctc:\r\n loss_weights: [0.3]\r\n apply_at_layers: [8]\r\n```\r\n\r\... | 2024-02-23T14:45:27 | 2024-04-04T19:12:54 | 2024-04-04T19:12:54 | NONE | {
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} | null | null | null | Hi folks!
I have an already trained model without interCTC, which I want to initialize from and continue training, this time enabling interCTC loss.
Here is my training command:
```
CUDA_VISIBLE_DEVICES=0 python speech_to_text_ctc_bpe.py \
--config-path=conf/conformer/ \
--config-name=conformer_ctc_bpe exp_mana... | {
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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
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Update k2 version commit for r1.23.0 (cherry-pick from main, #8478 )
Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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