renwei2024/nemo-github-issues huggingface dataset:
ci: Token permission to cancel Workflow run
State: closed | Pull request: yes
Labels: name: CI

name: Run CICD

# 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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# GitHub Actions CI

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To re-run CI remove and add the label again.
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# Before your PR is "Ready for review"
**Pre checks**:
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# Additional Information
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24.07 perf
State: closed | Pull request: yes
Labels: name: Run CICD

# What does this PR do ?

Documents performance benchmarks for LLM pre-training and finetuning using NeMo 24.07

**Collection**: [Run CICD]

# Changelog 
- Add specific line by line info of high level changes in this PR.

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# Before your PR is "Ready for review"
**Pre checks**:
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# Additional Information
* Related to # (issue)


Can we crate a new director like `docs/source/performance/performance_summary.md`?
So, we can add additional performance-related pages under this directory in the future.

@malay-nagda Can we add a `Performance` section in the main README along with the link to this performance summary page? I think we can add more links in the main README if we want to highlight.
24.07 perf
State: closed | Pull request: yes

# What does this PR do ?

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# Additional Information
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[NeMo-UX] fix a version bug in `NeMoLogger`
State: closed | Pull request: yes
Labels: name: Run CICD

# What does this PR do ?

We only want to ignore the version if `use_datetime_version`  and  `resume_if_exists` are both `True`. If a user sets a version manually, we should include it. Previously, all versions were being ignored when `resume_if_exists` was `True`.

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- Add specific line by line info of high level changes in this PR.

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# Add a code snippet demonstrating how to use this 
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# Before your PR is "Ready for review"
**Pre checks**:
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[NeMo-UX] Fix logged consumed_samples
State: closed | Pull request: yes
Labels: name: Run CICD

# What does this PR do ?

Add a one line overview of what this PR aims to accomplish.

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# Add a code snippet demonstrating how to use this 
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# Before your PR is "Ready for review"
**Pre checks**:
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# Additional Information
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Do you also need to load the global step in https://github.com/NVIDIA/NeMo/blob/main/nemo/collections/llm/gpt/data/pre_training.py#L229?

> Do you also need to load the global step in https://github.com/NVIDIA/NeMo/blob/main/nemo/collections/llm/gpt/data/pre_training.py#L229?

We can take the global step from the trainer: https://github.com/NVIDIA/NeMo/blob/main/nemo/collections/llm/gpt/data/pre_training.py#L192
Adding controls for Transformer (native NeMo) 
State: closed | Pull request: yes
Labels: name: stale

name: NLP

name: Run CICD

Oleg Sudakov finds that these arguments (bias, activation, normalization) are not currently controllable for native NeMo model, and suggest fix (https://github.com/NVIDIA/NeMo/pull/8845/files).
NVBug: https://github.com/NVIDIA/NeMo/pull/8845/files



# What does this PR do ?

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# Changelog 
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# Before your PR is "Ready for review"
**Pre checks**:
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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.
Canary: CI integration tests; fix for training dataset and backcompat
State: closed | Pull request: yes
Labels: name: ASR

name: CI

name: common

name: Run CICD

# What does this PR do ?

* Integration tests for 3 Canary's transcribe cases, Canary training, and unit test for Canary dataset.
* Allows the user to provide tasks via "task" slot instead of "taskname".
* Fixes an issue in Canary's training dataset class.

**Collection**: ASR

# Changelog 
- Add specific line by line info of high level changes in this PR.

# Usage
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```python
# Add a code snippet demonstrating how to use this 
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# GitHub Actions CI

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# Before your PR is "Ready for review"
**Pre checks**:
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Add sanity check to make sure NeMo is not under /dev/shm
State: closed | Pull request: yes
Labels: name: stale

name: NLP

name: Run CICD

# What does this PR do ?

If the helpers.so is under /dev/shm then it fails to load in memory, I got error like
failed to map segment from shared object 

I rebuilt it many times, but only worked after moving it outside /dev/shm.

I'm adding a sanity check at the top of the file to avoid this in the future, I don't think many people use /dev/shm but in any case to save in the future.

Edit: I need to double check whether the error "failed to map segment from shared object" was due to docker permissions or indeed due to location.. 

**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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```python
# Add a code snippet demonstrating how to use this 
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# GitHub Actions CI

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# Before your PR is "Ready for review"
**Pre checks**:
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# Additional Information
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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.
Add Yi 1.5 34b Neva support
State: closed | Pull request: yes
Labels: name: NLP

name: Multi Modal

name: Run CICD

# What does this PR do ?

Add Yi 1.5 34b for Neva

**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 to use this 
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# GitHub Actions CI

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# Before your PR is "Ready for review"
**Pre checks**:
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# Additional Information
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nemo-ux: run checkpoint conversion only on rank=0 if invoked with tor…
State: closed | Pull request: yes
Labels: name: Run CICD

importing any model with torchrun --nproc_per_node=8 will fail (to reproduce the conversion has to run, make sure to remove any cached models to reproduce).

The solution is to detect whether in multiproc and run conversion only on rank=0.

# What does this PR do ?

Add a one line overview of what this PR aims to accomplish.

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# Changelog 
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# Usage
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```python
# Add a code snippet demonstrating how to use this 
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# GitHub Actions CI

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# Before your PR is "Ready for review"
**Pre checks**:
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nemo-ux MixedPrecision fix
State: closed | Pull request: yes
Labels: name: Run CICD

# What does this PR do ?

Add a one line overview of what this PR aims to accomplish.

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# 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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# GitHub Actions CI

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To re-run CI remove and add the label again.
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# Before your PR is "Ready for review"
**Pre checks**:
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# Additional Information
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stopping this now until the CI out of maintenance
Drop PyTorch 2.1 version check from fabric strategies
State: closed | Pull request: yes
Labels: name: Run CICD

# What does this PR do ?

Lightning has [Dropped PyTorch 2.0 from the test matrix](https://github.com/Lightning-AI/pytorch-lightning/pull/20009/files#diff-edeb9aa08130aab819bbadaf08ebf1f761433c177ecc38f546e0b19104f5a470L29) and `TORCH_GREATER_EQUAL_2_1` no longer exists. I bumped the version requirement instead of import/check in `NeMo/nemo/lightning/fabric/strategies.py`


**Collection**: [Note which collection this PR will affect]

# Changelog 
- Add specific line by line info of high level changes in this PR.


# GitHub Actions CI

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# Before your PR is "Ready for review"
**Pre checks**:
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# Additional Information
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@marcromeyn @jstjohn for vis
Add `kv_channels` to `convert_llama_nemo_to_hf.py`
State: closed | Pull request: yes
Labels: name: stale

# What does this PR do ?

Custom Llama-based models may use custom `head_dim` as it is supported by NeMo/MegatronLM (it's called `kv_channels` in these tools). 

The current `convert_llama_nemo_to_hf.py` assumes `head_dim * num_heads == hidden_size`

There's an ongoing PR to support custom `head_dim` in HF
- https://github.com/huggingface/transformers/pull/32502

I've been in touch with and getting support from @suiyoubi for this PR.


**Collection**: [Note which collection this PR will affect]

# Changelog 
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# Usage
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# Add a code snippet demonstrating how to use this 
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# GitHub Actions CI

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To re-run CI remove and add the label again.
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# Before your PR is "Ready for review"
**Pre checks**:
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# Additional Information
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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.

The feature is covered by another PR, which has been merged.
https://github.com/NVIDIA/NeMo/pull/11230
Moe doc fixes
State: closed | Pull request: yes
Labels: name: documentation

# 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 code snippet demonstrating how to use this 
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# GitHub Actions CI

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To re-run CI remove and add the label again.
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# Before your PR is "Ready for review"
**Pre checks**:
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**PR Type**:
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# Additional Information
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[NeMo-UX] Model convergence matching
State: closed | Pull request: yes
Labels: name: Run CICD

# What does this PR do ?

Config changes to match nemo 1

**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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# Additional Information
* Related to # (issue)
Mamba Refac
State: closed | Pull request: yes
Labels: name: stale

name: NLP

# What does this PR do ?

incorporate mamba as a part of gpt 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

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# Add a code snippet demonstrating how to use this 
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# GitHub Actions CI

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# Before your PR is "Ready for review"
**Pre checks**:
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# Additional Information
* Related to # (issue)


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.
Remove max_num_tokens heuristic from test scripts
State: closed | Pull request: yes
Labels: name: Run CICD

# What does this PR do ?

Removing heuristic setting `max_num_tokens=int(max_input_len * max_batch_size * 0.2)` that may be too strict. This is to produce an engine that can be used beyond the test scripts (e.g. subsequent benchmarking or other evaluations).

**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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# GitHub Actions CI

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# Before your PR is "Ready for review"
**Pre checks**:
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# Additional Information
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fix clip onnx export in CI
State: closed | Pull request: yes

# What does this PR do ?

fix clip onnx export in CI due to clip attention changes in the recent transformers update.

**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 to use this 
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# GitHub Actions CI

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# Before your PR is "Ready for review"
**Pre checks**:
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**PR Type**:
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# Additional Information
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Update base image for tts asr import check test
State: closed | Pull request: yes
Labels: name: CI

name: Run CICD

# What does this PR do ?

Bumped torch version of base container used for tts asr testing as pytorch-lightning>2.2.1 requires torch>=2.1.0


**Collection**: [test]

# Changelog 
- Add specific line by line info of high level changes in this PR.

# Usage
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```python
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# GitHub Actions CI

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# 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)
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# Additional Information
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Avoid "'NoneType' object is not iterable" error for tiny validation sets
State: closed | Pull request: yes
Labels: name: stale

name: NLP

# What does this PR do ?

The PR Avoid "'NoneType' object is not iterable" error if the test set or validation set has less than self.word_size batches of data.

**Collection**: `nemo/collections/nlp/models/machine_translation/mt_enc_dec_model.py`

# Changelog 
- Checks for None before iterating over list of outputs
- The PR was a one liner (the if None check in line 497) but the CI applied black formatting automatically.

# GitHub Actions CI

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# Before your PR is "Ready for review"
**Pre checks**:
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  - [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
  
**PR Type**:
- [ ] New Feature
- [x] Bugfix
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## Who can review?

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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.
Getting TypeError: EncDecCTCModel.transcribe() got an unexpected keyword argument 'logprobs'
State: closed | Pull request: no
Labels: name: bug

**Describe the bug**

Getting `TypeError: EncDecCTCModel.transcribe() got an unexpected keyword argument 'logprobs'`
```bash    
all_logits = asr_model.transcribe(audio_file_paths, batch_size=cfg.acoustic_batch_size, logprobs=True)
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: EncDecCTCModel.transcribe() got an unexpected keyword argument 'logprobs'
```

**Steps/Code to reproduce bug**

This happens whenever I pass logprobs as shown bellow.

```python
import nemo.collections.asr as nemo_asr

nemo_model_file="model.nemo"
asr_model = nemo_asr.models.EncDecCTCModelBPE.restore_from(nemo_model_file)

all_logits = asr_model.transcribe([audio_filepath], batch_size=1, logprobs=True)
```

**Expected behavior**

A clear and concise description of what you expected to happen.

**Environment overview (please complete the following information)**

 - Environment location: Tested on Lambdalabs and AWS
 - Method of NeMo install: from source. Version: '2.0.0rc1'

**Environment details**

If NVIDIA docker image is used you don't need to specify these.
Otherwise, please provide:
- OS version: Ubuntu
- PyTorch version: 2.2.1
- Python version: Python 3.11.9

**Additional context**
GPU: Tested on A100 and T4 GPUs
Nemotron Conversion: kv_channels rename to head_dim
State: closed | Pull request: yes
Labels: name: Run CICD

# 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 code snippet demonstrating how to use this 
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# 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)
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[NeMo-UX] Dump io inside ModelConnector
State: closed | Pull request: yes
Labels: name: Run CICD

# 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 code snippet demonstrating how to use this 
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# 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)
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# Additional Information
* Related to # (issue)


@marcromeyn thank you, the PR works fine and dumps `io.json`! Is this good to be merged as soon as the CI passes ?

Stopping this until the CI maintenance is over
[NeMo-UX] LoRA bug fix + frozen param printout
State: closed | Pull request: yes
Labels: name: Run CICD

# What does this PR do ?

Fix LoRA convergence bug, and add a parameter count print out after freezing base model, similar to NeMo 1. 

**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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```python
# Add a code snippet demonstrating how to use this 
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# 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)
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  - [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
  
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# Additional Information
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[NeMo-UX] log learning rate before train step
State: closed | Pull request: yes
Labels: name: Run CICD

Previously, we were logging the learning rate after the train step was completed, which was causing a mismatch between the learning rate and the step count. This updates the logging of the learning rate to fix that.

**Collection**: LLM

# 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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**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
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  - [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
  
**PR Type**:
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# Additional Information
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