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This PR fixes the behavior of encountering an existing distributed checkpoint. Previously the save was skipped based on logic in `NLPDDPStrategy.save_checkpoint`, which is not a good place for such logic (strategy should just save the checkpoint). This PR reuses the PTL versioning mechanism ... | {
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Simplify NLPDDPStrategy.save_checkpoint methods by using native PTL mechanism for state dict construction.
**Collection**: NLP
# Changelog
- Create optimizer state dict with `optimizer_state` method
- Create model state entirely in `on_save_checkpoint` method
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This PR fix the following error when build form `Dockerfile`:
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[+] Building 3256.2s (33/41) docker:default
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Support training of multi-turn interaction trajectories in ChatML template format.
# Changelog
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# Usage
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**Collection**: [Note which collection this PR will affect]
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} | # What does this PR do ?
Currently, AED models do not use channel selector.
If the input manifest is pointing to multi-channel audio files, transcription will fail with
```
AssertionError: Expected MonoCut.
```
This PR adds support for
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} | # What does this PR do ?
Fix all current doc-building errors and most warnings. I have not fixed all warnings in the interest of making the PR not too large, and have tried to avoid making some changes that might conflict with @yaoyu-33 's current work on improving the doc structure.
FAO @titu1994 : please look... | {
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} | # What does this PR do ?
Change microbatch calculator implementation into mcore. Related to MCore # 24
**Collection**: [Note which collection this PR will affect]
# Jenkins CI
The Jenkins CI system has been replaced by GitHub Actions self-hosted runners.
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} | # What does this PR do ?
make nemo lora compatible with HF ("canonical") lora.
**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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Update requirements file
**Collection**: [nlp]
# Changelog
- Change mcore version to greater or equal
# Usage
* You can potentially add a usage example below
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# Add a code snippet demonstrating how to use this
```
# Jenkins CI
The Jenkins CI system has been r... | {
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"Docs LGTM"
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I'm working with the Forced aligner and so far everything has been positive!
Now I wanted to use the prebuilt docker images provided by Nvidia, but when exploring the images I don't see any reference to the Forced Aligner script I used on the Google Colab example you provide.
Is this expected? Do I hav... | {
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} | # What does this PR do ?
Based on https://github.com/NVIDIA/Megatron-LM/commit/e69187bc3679ea5841030a165d587bb48b56ee77, this PR aims to make user-set timeout applicable to all ProcessGroups instead of just default ProcessGroups
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"@ipmedenn Thanks, it works now. Closing this PR, but need another one to test changes)"
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Simplify NLPDDPStrategy.save_checkpoint methods by using native PTL mechanism for state dict construction.
**Collection**: NLP
# Changelog
- Create optimizer state dict with `optimizer_state` method
- Create model state in `on_save_checkpoint` method
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"Looks to me an issue with environment. \r\n\r\nPls run with python 3.10 \r\n\r\nFYI: @athitten ",
"This is because I ran it in Jupyter Notebook."
] | 2024-04-21T18:42:02 | 2024-05-24T16:44:01 | 2024-05-24T16:44:00 | NONE | {
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Can't train/finetune TitaNet model using two RTX4090.
```
---------------------------------------------------------------------------
RuntimeError Traceback (most recent call last)
Cell In[22], line 1
----> 1 trainer.fit(speaker_model)
File ~/miniconda3/env... | {
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Context parallel does not work in some cases, such as pretrain llama-34b with 64 A800 GPUs and seqlen>=32768. **But using megatron-lm directly has no problem with the same config**. I want to use the SFT support like sequence packing in Nemo, hope to solve this soon.
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Add safety checks for 'data' key in MegatronGPTModel cfg
**Collection**: [Note which collection this PR will affect]
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- Add specific line by line info of high level changes in this PR.
# Usage
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"@ethanhe42 Done."
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This PR is a fix for https://github.com/NVIDIA/NeMo/pull/8634.
**Collection**:
No collection would be affected.
We can run the script independently. And nemo dependency is not needed.
# Changelog
- Fix small bugs
- Add doc
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] | 2024-04-19T18:07:38 | 2024-08-01T19:59:30 | 2024-05-11T01:44:54 | MEMBER | {
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With EP enabled mcore_gpt is required (previously was checking megatron_amp_O2 whether it was enabled).
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I have tried downloading and using the frame marblenet vad, but it returns an error.
```
wget --content-disposition https://api.ngc.nvidia.com/v2/models/nvidia/nemo/vad_multilingual_frame_marblenet/versions/1.20.0/zip -O vad_multilingual_frame_marblenet_1.20.0.zip
--2024-01-23 16:14:29-- https://api.ng... | {
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"> I found 2 problems with the current implementation:\r\n\r\nI think I fixed those problems. Could you please check again?"
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This PR fixes the behavior of encountering an existing distributed checkpoint. Previously it caused saving skip, this PR reuses the PTL versioning mechanism to adjust the checkpoint name accordingly
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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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} | # What does this PR do ?
Enables safe extraction of nemo tar files in the SaveRestoreConnector class. To avoid security risks of arbitraty file writes via maliciously crafted paths in the tar file, the safe extraction checks:
1) The member paths within tar archive do not contain any absolute paths or path traver... | {
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} | # What does this PR do ?
support Llama3 model conversion.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
```python
python scripts/checkpoint_converters/convert_llama_hf_to_nemo.py --input_name_or_path P... | {
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"LGTM",
"@meatybobby Could you please approve the PR on the code changes tab? We need one approval to be able to merge the PR.",
"jenkins"
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} | # What does this PR do ?
Updates gemma export for trt-llm 0.9
**Collection**: None
# Changelog
- Update gemma export for trt-llm 0.9
**PR Type**:
- [ ] New Feature
- [x] Bugfix
- [ ] Documentation
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"It is not possible to set `trainer.max_epochs` when you set `trainer.max_steps`, due to by default `trainer.max_epochs` is ignored.\r\n\r\nTo set `trainer.max_epochs` you must do it without `trainer.max_steps` but by default `trainer.max_steps=20000` is set.\r\n\r\nYou should find a `trainer.max_steps` setting tha... | 2024-04-18T15:14:17 | 2024-06-09T01:51:39 | 2024-06-09T01:51:39 | NONE | {
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} | null | null | null | `examples/nlp/language_modeling/tuning/megatron_gpt_finetuning.py` ignores `trainer.max_epochs`.
Always refer to `trainer.max_steps` only.
Tested on: `nvcr.io/nvidia/nemo:24.03.framework`
Test case:
`trainer.max_steps=200` and `trainer.max_epochs=1` (187 steps)
- 200 step job finished
`trainer.max_steps=200`... | {
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"@galv, @titu1994 Please, review the PR\r\n\r\nThe only issue I see for now is that the Frame-Looping algorithm does not have fallback behavior, and setting `loop_labels=false` without `use_cuda_graph_decoder=false` (default - `true`) can cause failures (if not all requirements are met fo... | 2024-04-18T15:03:05 | 2024-05-03T16:03:17 | 2024-05-03T11:10:15 | COLLABORATOR | {
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} | # What does this PR do ?
- enable CUDA graphs by default for inference (`transcribe_speech.py`, `speech_to_text_eval.py`)
- add fallback behavior with partial CUDA graphs for Label-Looping algorithm implementation (TDT, RNN-T)
- Use Cuda graphs _with while loops_ when all requirements are met (driver 545+, Cuda ... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/8971 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/8971/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/8971/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/8971/events | https://github.com/NVIDIA/NeMo/issues/8971 | 2,250,870,319 | I_kwDOC_bI7s6GKY4v | 8,971 | Error while exporting to TensorRTLLM format - AttributeError: 'NoneType' object has no attribute 'get' | {
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"@yaoyu-33 @pradeepdev-1995 Can I work on this issue?",
"It seems the **model_config.yaml** file is being created inside temp directory during exporting ,but the created model_config.yml file is empty. that's why the Nontype object is returning\r\nI am using the given image ```nvcr.io/nvidia/nemo:24.01.gemma``` ... | 2024-04-18T14:39:19 | 2024-06-17T01:50:22 | 2024-06-17T01:50:21 | NONE | {
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} | null | null | null | I could finetune the gemma model and merge the adapter with base model by following this official notebook
https://github.com/NVIDIA/GenerativeAIExamples/blob/main/models/Gemma/lora.ipynb
Now Tried the given code for TensorRTLLM model conversion
```
from nemo.export import TensorRTLLM
trt_llm_exporter = TensorRTLL... | {
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"Hi, which one do you want to use the mistral-7b or the mixtral-7b? if you want to use the mistral-7b please use convert_mistral_hf_to_nemo.py instead of convert_mixtral_hf_to_nemo.py. Thanks.",
"This issue is stale because it has been open for 30 days with no activity. Remove stale label or comment or this will ... | 2024-04-18T14:16:42 | 2024-07-18T20:22:23 | 2024-06-03T01:48:20 | NONE | {
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} | null | null | null | **Describe the bug**
I am trying to run the example run PEFT with Mistral 7B provided in NEVIDI DOCS HUB. When trying to convert Mistral-7B in huggingface format to nemo format. Got the error message
```
python3 /opt/NeMo/scripts/checkpoint_converters/convert_mixtral_hf_to_nemo.py --input_name_or_path=./mistral-... | {
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Use the `args.input_name_or_path` to set `tokenizer.type` .
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- Add specific line by line info of high level changes in this PR.
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and than (nemo/collections/asr/parts/mixins.py):
 This is the latest code for fixing language if mis-match issue for training any2any. Could you please help to review and merge it to a proper branch?\r\n",
"jenkins",
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Add a one line overview of what this PR aims to accomplish.
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* You can potentially add a usage example below
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linear_qkv could be fused or non-fused modules. Check the number of output from linear_qkv to grab qkv tensor.
**Collection**: [Note which collection this PR will affect]
# Changelog
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} | Commit 1:
Do feature normalization in parallel, rather than via a for loop.
At large batch sizes, this becomes a bottleneck, taking about 9 ms at
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Commit 2:
Remove all instances of cudaStreamSynchronize() in the featurizer whe... | {
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Fix item 3 described in https://github.com/huggingface/transformers/pull/29402
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# Changelog
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Add a config option to control whether the distributed Adam optimizer stores embedding grads in FP32.
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a2a fix removed tp world size and group from init
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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 clos... | 2024-04-17T08:24:19 | 2024-05-25T01:45:30 | 2024-05-25T01:45:30 | NONE | {
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When pulling Nemo mirror for training: 23.08.03 image, there is an issue with authentication required.
**Steps/Code to reproduce bug**
**Expected behavior**
How to solve this bug?
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"@adamlin120 thanks for reporting the issue.\r\n\r\nCan you please try https://github.com/NVIDIA/NeMo/compare/main...akoumparouli/update_megatron_gpt_cont_training and let me know if that fixes the issue for you? thanks.",
"This issue is stale because it has been open for 30 days with no activity. Remove stale la... | 2024-04-17T01:42:58 | 2024-07-18T20:23:07 | 2024-06-03T01:48:23 | NONE | {
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When attempting to train a model using Nemo 2403, a `ValueError` is raised indicating a conflict between the `precision` argument and the `plugins` argument being passed to the Trainer. The error message states that both `precision=bf16-mixed` and `plugins=PipelineMixedPrecisionPlugin` were rece... | {
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"Also, don't make the assumption that a GPU will always be there (or that cuda graphs are supported). We can have fast paths for those cases when GPU is available or cudapython... | 2024-04-16T23:30:44 | 2024-04-30T18:10:26 | 2024-04-30T18:10:26 | COLLABORATOR | {
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Right now, when running Parakeet CTC 1.1B at batch size 32, the preprocessor takes about 10milliseconds (of course, this depends on the lengths of the inputs, but this was with librispeech test other). 90% of the time is taken by feature normalization, and the GPU... | {
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Add a config option to control whether the distributed Adam optimizer stores embedding grads in FP32.
**Collection**: NLP
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- Add config option for FP32 embedding grads
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a2a fix removed tp world size and group from init
**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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a2a fix removed tp world size and group from init
**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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"@mark-myzhao Thanks we will dig further. In the mean time can you try training lora weights using https://github.com/NVIDIA/NeMo/blob/main/examples/nlp/language_modeling/tuning/megatron_gpt_finetuning.py",
"This issue is stale because it has been open for 30 days with no activity. Remove stale label or comment o... | 2024-04-16T19:17:50 | 2024-08-02T13:55:51 | 2024-07-29T01:52:11 | NONE | {
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We noticed that there were some discrepancies in the inference results between the model with loaded LoRA adapter and the model with merged LoRA weights.
**Steps/Code to reproduce bug**
1. Fine-tune a LoRA Model with [train_gpt_sft.py](https://github.com/NVIDIA/NeMo-Aligner/blob/main/exa... | {
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Adding RETRO tests to Action Tests (cicd-main.yml)
**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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"@huvunvidia Whats the priority on this ? I am working on a generate function in Mcore, and nemo is also going to switch to use that. So wondering if you want to wait and directly use that. The gnerate function is already done and in review, I hope to get that merged next week. \r\nIt is ... | 2024-04-16T16:08:04 | 2024-04-23T21:28:40 | 2024-04-23T21:28:31 | COLLABORATOR | {
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} | # What does this PR do ?
Adding zero-shot evaluation code for new RETRO model. The evaluation code for legacy model is modified to *_legacy.py
This PR is on top of huvu/mcore_retro, which implements the new RETRO model.
The files this PR works on are:
- examples/nlp/language_modeling/conf/megatron_retro_infer... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/8940 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/8940/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/8940/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/8940/events | https://github.com/NVIDIA/NeMo/pull/8940 | 2,245,984,966 | PR_kwDOC_bI7s5szOPd | 8,940 | Added NeMo Guardrails paper | {
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"Thank you @erastorgueva-nv ! \r\nIn NeMo Guardrails we have GPG signing or sign-off (first is preferred over the second, if possible). I thought that NeMo also accepts GPG. ",
"In NeMo GitHub we have only signoff. We can look into gpg later"
] | 2024-04-16T12:55:57 | 2024-04-17T17:19:47 | 2024-04-17T17:19:47 | NONE | {
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} | # What does this PR do ?
Added NeMo Guardrails paper to publications.
**Collection**: NLP
# Changelog
- Added NeMo Guardrails paper to publications.
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
# Jenkins CI
To run Jenki... | {
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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."
] | 2024-04-16T12:52:20 | 2024-05-24T01:46:15 | 2024-05-24T01:46:15 | NONE | {
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https://github.com/NVIDIA/GenerativeAIExamples/blob/main/models/Gemma/lora.ipynb
Where in this step
```
from nemo.collections.nlp.parts.peft_config import LoraPEFTConfig
my_peft_config = LoraPEFTConfig(model_cfg)
```
How can I specify the required rank(r ... | {
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"This issue was closed because it has been inactive for 7 days since being marked as stale."
] | 2024-04-16T09:14:34 | 2024-05-24T01:46:17 | 2024-05-24T01:46:17 | NONE | {
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Got the following error when using a built docker container from the `main`.
```
[W init.cpp:767] Warning: nvfuser is no longer supported in torch script, use _jit_
set_nvfuser_enabled is deprecated and a no-op (function operator())
```
Looks like it is the issue of newer version of Pyt... | {
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Fix `ModuleNotFoundError: No module named 'group_norm_cuda'` error for Apex when building Dockerfile from `main`.

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When trying to train the model using the latest NeMo code (`32e630220d2c24550a869f43ce618949ccf1a1a5`) with gradient checkpoint and packed sequence, getting the following error:
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- Enable support for models trained with pipeline parallel in LoRA merge script
- Fix output precision in LoRA merge script
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Add a one line overview of what this PR aims to accomplish.
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Change PRE_RELEASE to rc0 to be PEP 440 compliant. The name cannot have both rc and beta in it
**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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Allow passing fp16_lm_cross_entropy to mcore to reduce memory requirements.
*needs* MR in Mcore first.
**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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Add SDXL quantization and trt inference pipeline
**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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This PR leverages new mcore gpt spece handling. (not yet merged to mcore)
**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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Minor updates to quantization pipeline.
**Collection**: NLP
# Changelog
- considering `megatron_amp_O2 = True` case
- fixing artifacts handling utils for a legacy .nemo checkpoint (for example, https://huggingface.co/nvidia/GPT-2B-001)
# Jenkins CI
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This PR adds the support for embedding_read_fusion parameter in MCoreGPTModel. This new parameter will be added into Megatron-LM.
**Collection**: [Note which collection this PR will affect]
# Changelog
Add the embedding_read_fusion parameter, which is got from self.cfg.
# Usage
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I encountered the following error when calling trainer_eval.predict() to test the fine-tuned LLM Model:
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AttributeError Traceback (most recent call last)
Cell In[33], line 1
----> 1 response = trainer_eval.predict(model_eval, request_dl)
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Adds Riva and k2 WFST decoding options for ASR inference.
if you are reading this, it means the PR is not finished.
What's left is:
1. Documentation
2. Usage example
3. Tests
**Collection**: ASR
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Simplified er... | {
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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]
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Change PRE_RELEASE to rc0 to be PEP 440 compliant. The name cannot have both rc and beta in it
**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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Update package info to match branch name
**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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