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Adding zero-shot evaluation code for new RETRO model. The evaluation code for legacy model is modified to *_legacy.py
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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
* You can potentially add a usage example below
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} | # What does this PR do ?
This avoid doing useless computations (that may even filter out some tokens due to numerical approximation) when `top_p=1.0` (which is not supposed to have any effect).
**Collection**: nlp
# Changelog
- Skip top_p computations when set to 1.0
# Before your PR is "Ready for review"... | {
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] | 2024-04-12T15:26:14 | 2024-04-12T15:54:51 | 2024-04-12T15:54:51 | CONTRIBUTOR | {
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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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} | # What does this PR do ?
This is an optimized (without loops) version of stateless net for transducer decoder model.
**Collection**: ASR
# 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 can i use for hinglish(english + hindi)?\r\n\r\nOn Fri, 12 Apr, 2024, 5:33 pm Somshubra Majumdar, ***@***.***>\r\nwrote:\r\n\r\n> This is a monolingual Hindi only model, it doesn't support English.\r\n>\r\n> —\r\n> Reply to this email d... | 2024-04-12T11:39:07 | 2024-05-21T01:45:45 | 2024-05-21T01:45:44 | NONE | {
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usage: speech_to_text_buffered_infer_ctc.py [--help] [--hydra-help] [--version] [--cfg {job,hydra,all}] [--resolve] [--package... | {
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} | null | null | null | While following the official documentation - https://developer.nvidia.com/blog/adapting-p-tuning-to-solve-non-english-downstream-tasks/ , I would like to see the Multitask_Prompt_and_PTuning.ipynb notebook file for reference. But it seems the file was moved/deleted.
![Screenshot from 2024-04-12 17-03-00](https://gith... | {
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>> [NeMo I 2024-04-12 03:38:58 neva_model:252] Loading LLM weights from checkpoint /home/nemo/llama_weights/vicuna-2-7b.nemo
Loading distributed checkpoint with TensorStoreLoadShardedStrategy
Error executing job with overrides: ['trainer.precision=bf16', 'trainer.... | {
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} | null | null | null | During training, memory is noticed increasing as time goes on, until 74% training done and no memory available. The training is quit giving the following errors:
We are using Coformer+ CTC with 1.2 cpu memory, 8 workers.
We guess this might be related with pytorch lightning, and some of memory is hold till an epoch... | {
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Refactor NeMo Developer Docs 1st PR. In this PR, we restructured the dev doc as screen shot below. More contents yet to be added.
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Add expert_model_parallel_size to yamls
Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
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- Add specific line by line info of high level changes in this PR.
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"@artbataev this may be related to your observation of TDT being faster than CTC in some cases.",
"If I recall correctly, max does work on GPU so I don't know why I forced it onto CPU. Maybe the slice? Either way, if it fixes the slowdown let's move the .CPU() to after max calculation.\r\n\r\nIt might have been t... | 2024-04-11T19:15:45 | 2024-05-09T18:00:10 | 2024-05-09T18:00:10 | COLLABORATOR | {
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As part of my work on #8673 , I have been profiling to make sure we have low latency and high throughput. I have observed that this line can sometimes take https://github.com/NVIDIA/NeMo/blob/57444ae9b63afc5419a16948f7d032a1a9f7dc7f/nemo/collections/... | {
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} | # What does this PR do ?
Enable the AllGather of the updated parameters in the data-parallel domain with the validation step.
# Changelog
- Skip gradient zeroing at the beginning of the validation step routine, which executes param sync
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disable bprop reduce for cpl when SP is enabled
**Collection**: [Note which collection this PR will affect]
# Changelog
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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_i... | {
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} | # What does this PR do ?
support PTL >= 2.1 for chatglm
# 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/blob/main/CO... | {
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So I noticed that in the readme of this GitHub Repo it states that NeMo is released under the Apache 2.0 license.
This is also the license [linked](https://github.com/NVIDIA/NeMo/blob/main/LICENSE) in the repo.
... | {
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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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"NeMo main has an updated version of transcribe() that supports more functionality and deprecated old arguments with new ways of doing things. \r\n\r\nYou can use and install Nemo 1.23.0 branch to get it to work. Or you can use the following to fix transcribe on main. \r\n\r\nChange \r\nlogits = quartznet.transcrib... | 2024-04-11T07:01:04 | 2024-04-11T07:43:07 | 2024-04-11T07:43:07 | NONE | {
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I am trying to use language model described in Offline_ASR.ipynb, but I am receiving error:
`TypeError: EncDecCTCModel.transcribe() got an unexpected keyword argument 'logprobs'`
My code is
`import nemo
import nemo.collections.asr as nemo_asr
import sys
import os
import ctc_decoders
import numpy as... | {
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"jenkins",
"jenkins",
"jenkins",
"jenkins",
"jenkins",
"jenkins",
"jenkins",
"jenkins",
"jenkins"
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} | # What does this PR do ?
pass fp16 precision to UNetModel constructor if user specifies fp16 precision via CLI.
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 P... | {
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"LGTM, We did convergence runs and convergence looks as expected on GBS=8, 32. We see measurable speedup for this change.\r\nOne minor comment:\r\n- We should try to JIT the python code, but maybe that can happen as a separate PR.\r\n\r\n@ericharper @cuichenx can you pls review/comment?",
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} | # What does this PR do ?
lora a2a after linear out when sp is enabled and parallel input
**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... | {
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} | # What does this PR do ?
This PR will support new parallel initialize order with megatron's new feature: TP -> PP -> DP
**Collection**: [Note which collection this PR will affect]
* NLP collection
# Changelog
- refactor rank calculate by mcore's new interface.
- a new knob 'use_tp_pp_dp_mapping' to enable ... | {
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"> Overall looks good, although we are still hashing out the design in [NVIDIA/apex#1794](https://github.com/NVIDIA/apex/pull/1794). As discussed in [NVIDIA/apex#1794 (comment)](https://github.com/NVIDIA/apex/pull/1794#issuecomment-2050894033), I think we should set `MegatronDistributedFusedAdam._step_support_amp_s... | 2024-04-11T01:09:41 | 2024-04-12T22:50:44 | 2024-04-12T22:50:44 | CONTRIBUTOR | {
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} | # What does this PR do ?
This PR fixes distributed optimizer issues:
1. Support NHWC layout, as required by Diffusion models;
2. Fix complex `zero_grad()` being not captured by CUDA graph;
3. Add option to distribute states within node;
**Collection**: [Note which collection this PR will affect]
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} | # What does this PR do ?
Fix Checkpointing for FP8 Attention
**Collection**: [Note which collection this PR will affect]
# Changelog
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# Usage
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Updates export to TRT-LLM code for version 0.9
**PR Type**:
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- [ ] Bugfix
- [ ] Documentation
- [x] Update
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"We don't have pretrained onnx models released in NeMo. Nvidia Riva might have .Riva files that contain a compiled model but that isn't supported in NeMo ",
"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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How can I search for a pretrained ONNX model?
A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]
Hi, since my PC has no powerful GPU, so training any model is almost mission impossible, so I have to use some ... | {
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**Collection**: [Note which collection this PR will affect]
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# Usage
* You can potentially add a usage example below
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"> Hi @vysarge , I do not totally understand what the first input dim and the second d... | 2024-04-10T05:10:34 | 2024-05-06T19:42:49 | 2024-05-06T19:42:03 | COLLABORATOR | {
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} | # What does this PR do ?
Merges #8803, #8810, #8853 into one.
**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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**Collection**: NLP
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"Can this be merged @oyilmaz-nvidia ?",
"jenkins"
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} | # What does this PR do ?
By default `to_word_list_format` uses '<extra_id_1>' as its test string to map a string to its tokens, but using '<extra_id_1>' may not map correctly, so add option to specifiy the test string.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific lin... | {
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"use ctc models for aligning very long audio duration files. ",
"You can use hybrid models in CTC mode automatically. @erastorgueva-nv could you advise ",
"It should work if you also add the parameter `use_local_attention=true` (reference: https://docs.nvidia.com/nemo-framework/user-guide/latest/nemotoolkit/too... | 2024-04-09T22:34:19 | 2024-04-12T21:33:41 | 2024-04-12T21:22:01 | NONE | {
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`torch.cuda.OutOfMemoryError: CUDA out of memory. ...`
Now I understand it might have something to do with batch size or chunk size, or even it can just be an issue of not having enough GPU memory (I'm running it... | {
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Fixes the implementation of PEFT for TRT-LLM export.
**Collection**: NLP
# Changelog
- Add the bos token to LLAMA based models (not just P-tuning related, improves LLAMA results in general).
- Remember the vtoken counts for each p-tuning table when the tables are added.
- Prepend... | {
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} | # What does this PR do ?
Fix for case, when duration is `null` in manifest
**Collection**: ASR
# 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**:
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Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
# Add a cod... | {
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} | # What does this PR do ?
This PR adds a pointer to audio codec checkpoint to docs.
**Collection**: Docs
# Changelog
- Added a table with info about the available checkpoints
# Usage
n/a
# Jenkins CI
To run Jenkins, a NeMo User with write access must comment `jenkins` on the PR.
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Add support for testing, deploying and running quantized "qnemo" checkpoints in `nemo.deploy` and `nemo.export` modules.
**Collection**: NLP
# Changelog
- qnemo support
- bump ammo version to 0.9.4
- update code for trt-llm 0.9.0
- Lambada evaluation setup
- timing of evaluation ... | {
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"Here is the tutorial for VAD: https://github.com/NVIDIA/NeMo/blob/main/tutorials/asr/Voice_Activity_Detection.ipynb \r\n\r\nCurrently we don;t support training VAD and SD model together",
"> Here is the tutorial for VAD: https://github.com/NVIDIA/NeMo/blob/main/tutorials/asr/Voice_Activity_Detection.ipynb\r\n> \... | 2024-04-09T09:35:46 | 2024-05-21T01:45:50 | 2024-05-21T01:45:49 | NONE | {
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Resolve the memory lease from loss function
# Changelog
- Do not grep values from config
# Usage
N/A
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# Before your PR is "Ready for review"
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Adds deploy to triton script for llm models.
# Changelog
- Deployment and query scripts for LLM models.
**PR Type**:
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- [ ] Bugfix
- [ ] Documentation
- [x] Script
If you haven't finished some of the above items you can still open "Draft" PR.
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Add ICASSP 2024 Paper
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"Hi @tempops thanks for sharing this issue. I am able to reproduce it in some cases. Not sure yet why it occurs. Could you please share what NeMo version you are using, and the exact command you used to install NeMo?\r\n\r\nAs a quick fix, you can add an extra line in one of the cells as I show below. I believe tha... | 2024-04-08T15:37:15 | 2024-07-01T01:54:47 | 2024-07-01T01:54:47 | NONE | {
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Hello, I was trying to run Online_ASR_Microphone_Demo_Cache_Aware_Streaming.ipynb but I get an error when running the final cell in Jupyter
[Online_ASR_Microphone_Demo_Cache_Aware_Streaming.ipynb](https://file+.vscode-resource.vscode-cdn.net/Users/fawazahamedshaik/Downloads/Online_ASR_Microph... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/8849 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/8849/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/8849/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/8849/events | https://github.com/NVIDIA/NeMo/pull/8849 | 2,231,451,440 | PR_kwDOC_bI7s5sBiCY | 8,849 | upgrade to trtllm0.9 | {
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"All the combined updates for TRT-LLM 0.9 is here https://github.com/NVIDIA/NeMo/pull/8873 . That PR includes @abharwani 's commits. We can close this since all the commits are already pulled in the other PR.",
"Closing this since @abharwani 's commits were merged in with this PR https://github.com/NVIDIA/NeMo/pu... | 2024-04-08T14:58:20 | 2024-04-16T16:10:21 | 2024-04-16T16:10:21 | CONTRIBUTOR | {
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} | # What does this PR do ?
Update export module to support trtllm0.9
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"Looks like solved by https://github.com/NVIDIA/NeMo/pull/8908"
] | 2024-04-08T14:55:55 | 2024-04-16T09:29:24 | 2024-04-16T09:29:23 | NONE | {
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Converting Mistral/Mixtral to Nemo format throws the following error:
```
Traceback (most recent call last):
File "/workspace/NeMo/scripts/checkpoint_converters/convert_mistral_7b_hf_to_nemo.py", line 338, in <module>
convert(args)
File "/workspace/NeMo/scripts/checkpoint_converte... | {
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This PR aims to overlap the process of [allreduce_sequence_parallel_gradient](https://github.com/NVIDIA/NeMo/blob/main/nemo/collections/nlp/models/language_modeling/megatron_gpt_model.py#L867) with [allreduce_first_last_embeddings](https://github.com/NVIDIA/NeMo/blob/main/nemo/collections/nl... | {
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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."
] | 2024-04-08T10:18:49 | 2024-05-17T01:45:55 | 2024-05-17T01:45:55 | NONE | {
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**Fix is implemented here: https://github.com/NVIDIA/NeMo/pull/8845**
Transformer layer MLP always uses default values for bias, activation, and normalization if model.mcore_gpt=False, model.transformer_engine=True, model.megatron_amp_O2=True.
**Steps/Code to reproduce bug**
Add the fol... | {
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} | # What does this PR do ?
**Detailed description here: https://github.com/NVIDIA/NeMo/issues/8846**
This PR fixes Transformer layer MLP hyperparameters not being set with model.mcore_gpt=False, model.transformer_engine=True, and model.megatron_amp_O2=True.
**Collection**: NLP
# Changelog
- Passing missing ar... | {
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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
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Adds a script to convert zarr ckpt format to torch distributed ckpt format.
**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 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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"Corresponding TE/MCore PRs:\r\n- TE: https://github.com/NVIDIA/TransformerEngine/pull/754\r\n- MCore: https://gitlab-master.nvidia.com/ADLR/megatron-lm/-/merge_requests/1320",
"jenkins",
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"jenkins"
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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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"I have verified the conversion works and this new converted ckpt works with SD. Thanks!!",
"jenkins"
] | 2024-04-05T19:49:11 | 2024-04-10T23:29:16 | 2024-04-10T23:29:16 | CONTRIBUTOR | {
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} | # What does this PR do ?
Replace the linear layer in the VIT backbone clip with the convolution layer.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Changes in both vit_backbone.py and convert_external_clip_to_nemo.py
# Usage
More similarity with the existing Clip models in th... | {
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"Can you please put it into a droppable menu as shown here, this is too much unrelated things before even beginning to discuss the actual toolkit. If users are interested they can open the menu. \r\n\r\nFor reference from an old version of NeMo - https://github.com/NVIDIA/NeMo/blob/r1.20.0/PUBLICATIONS.md"
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} | # What does this PR do ?
Adds links to articles on
* NeMo framework on GKE
* Responsible Gen AI using NeMo and Picasso
* NeMo powering Amazon Titan foundation models
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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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"In your config use trainer.max_steps = -1 rather than None",
"thanks sir 🙌"
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!bash start_train_ctc.sh
[NeMo W 2024-04-05 16:16:10 nemo_logging:349] /usr/local/lib/python3.10/dist-packages/hydra/_internal/hydra.py:119: UserWarning: Future Hydra versions will no longer change working directory at job runtime by default.
See https://hydra.cc/docs/1.2/upgrades/1.1_to_1.2/changes_to_job_w... | {
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1. Remove references to `pipeline_model_parallel_split_rank` since it is only used for enc-dec models, and the merge script is for decoder only models. This enables users to not have to specify this in the run command.
2. Remove setting `apply_rope_fusion` to False since bug #8590 is fixed.... | {
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} | # What does this PR do ?
minor fix for rendering issue with "#"
**Collection**: [Note which collection this PR will affect]
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**Collection**: [ASR]
# Changelog
- Enable Label-Looping algorithm by default (`loop_labels=true`)
- fix Label Looping algorithm for RNN-T/TDT + Stateless network
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"@roshanjoebenny could you raise this issue on https://github.com/NVIDIA/apex ",
"This issue is stale because it has been open for 30 days with no activity. Remove stale ... | 2024-04-05T12:08:21 | 2024-06-16T01:51:47 | 2024-06-16T01:51:47 | NONE | {
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When I am importing from nemo.collections import nlp as nemo_nlp
I was getting an error as module not found of apex.So I tryed installing apex using the below given commands
git clone https://github.com/NVIDIA/apex
cd apex
pip install -v --disable-pip-version-check --no-cache-dir \
--global-option="--cpp_ext" -... | {
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**Collection**: [Note which collection this PR will affect]
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} | # What does this PR do ?
Currently, NeMo CTC Segmentation tool throws errors if you try to use a hybrid model (as mentioned in this issue https://github.com/NVIDIA/NeMo/issues/8750). This PR fixes that.
cc @ekmb
**Collection**: tools/ctc_segmentation
# Changelog
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Bug fix:
Recent pytorch-lightning versions overwrite the .precision field of cfg to None. As a result, it must be saved and restored by the callee. I moved this in the megatron trainer builder to avoid having to do this manually.
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Adding reference to the cache-aware paper.
# Changelog
- Added reference to the cache-aware paper.
**PR Type**:
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- [ ] Bugfix
- [X] Documentation
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Fix `local_rank` when obtained from the `LOCAL_RANK` env variable (it was a `str` instead of an `int`)
**Collection**: nlp / multimodal / vision
# Changelog
- Fix `local_rank` when obtained from the `LOCAL_RANK` env variable in several conversion scripts to .nemo
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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]
All
# Changelog
- Add specific line by line info of high level changes in this PR.
Pipeline for installation on pure windows
# Usage
* You can potentially add a u... | {
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"LGTM, but can we check if autotokenizer and local sentencepiece outputs match for the new methods implemented before we merge?\r\n\r\nit is probably fine if they're not identical, but we need to know where the differences arise and also document them if any",
"This PR is stale because i... | 2024-04-04T10:50:28 | 2024-05-30T01:47:02 | 2024-05-30T01:47:02 | COLLABORATOR | {
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Extending NeMo's AutoTokenizer and SentencePieceTokenizer for consistency with HuggingFace tokenizers API as it is used throughout TensorRT-LLM and AMMO in evaluation tools.
This is necessary to seamlessly enable model validation -- including quantized variants -- with the current scripts... | {
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} | # What does this PR do ?
For the function `get_nmt_tokenizer`, the user may use libraries which do not require `model_name` (e.g. `sentencepiece`, which is the default library), thus would not pass in `model_name` to the function.
The current implementation throws a `ValueError` for such cases.
This PR fixes ... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/8816 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/8816/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/8816/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/8816/events | https://github.com/NVIDIA/NeMo/issues/8816 | 2,224,653,212 | I_kwDOC_bI7s6EmYOc | 8,816 | Issue while importing-> from nemo.collections import nlp | {
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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."
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Cell In[9], line 2
1 from nemo.utils.exp_manager import exp_manager
----> 2 from nemo.collections import nlp
4 # import os
5 # import wget
6 # import torch
7 # import pytorch_lightning as pl
8 # from... | {
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"After you finish training the model, you should not call change vocabulary. Change vocabulary is only used when you want to finetune a pretrained model onto a custom dataset or language. ",
"Sorry to clarify, I meant calling change vocabulary before finetuning on my custom dataset. Before finetuning, when I spec... | 2024-04-04T06:43:49 | 2024-10-15T03:09:11 | 2024-05-12T01:47:56 | NONE | {
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} | null | null | null | I trained a multilingual (5 language) FastConformer EncDecCTCModel following the tutorial https://github.com/NVIDIA/NeMo/blob/main/tutorials/asr/Multilang_ASR.ipynb. Training performs as expected and validation WER reaches minimum of 0.16, however when I evaluate the model on different language's test set by loading fr... | {
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"same issue "
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```
from nemo.collections.nlp.parts.megatron_trainer_builder import MegatronLMPPTrainerBuilder
from nemo.utils.exp_manager import exp_manager
trainer = MegatronLMPPTrainerBuilder(cfg).create_trainer()
exp_manager(trainer, cfg.exp_manager)
```
I am getting the error
```
Imp... | {
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