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### **Issue**: WER does not go below 22.5%. Need suggestion of how I can improve this or anything that I might be doing wrong.
### **Details:**
```
python3 -u NeMo/examples/asr/asr_hybrid_transducer_ctc/speech_to_text_hy... | {
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📝 Please remember the following to-do's before merge:
- [ ] Verify the presubmit CI
🙏 Please merge this PR only if the CI workflow completed successfully. | {
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**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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Ensure checkpoint importer saves the model in the same precision as original checkpoint
**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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**Collection**: [Note which collection this PR will affect]
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"is this ready to merge?\r\n",
"@titu1994 yes it's ready to merge\r\n"
] | 2024-09-20T14:46:36 | 2024-09-24T15:19:04 | 2024-09-24T15:19:02 | COLLABORATOR | {
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} | # What does this PR do ?
add fixes in https://github.com/NVIDIA/NeMo/pull/10508 to r2.0.0
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# What does this PR do ?
Matplotlib removed matplotlib.cm.get_cmap 3.9.0 onwards (deprecated since 3.7.0). This causes an error in our ASR tutorials (ASR_for_telephony_speech.ipynb, Speech_Enhancement_with_NeMo.ipynb, Online_Offline_Microphone_VAD_Demo.ipynb) that use librosa.display.specshow, which internally cal... | {
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fix type error in llm collection | {
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LLAVA converter fix from nemo to hf fix when tp > 1. Followed the convention from llama converter.
**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 fixes the bug of llava converter when tp > 1.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
Modified the model_config following the convention(reference from llama converter).
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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."
] | 2024-09-20T01:11:45 | 2024-11-02T01:58:00 | 2024-11-02T01:57:59 | NONE | {
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I've been encountring an error when running the megatron mamba inference server while requesting using the example code.
[Megatron_mamba_eval](https://github.com/NVIDIA/NeMo/blob/main/examples/nlp/language_modeling/megatron_mamba_eval.py)
**Steps/Code to reproduce bug**
Execution code (executed a... | {
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Adds support for creating a symlink for `-last` checkpoints. Implementation is compatible with synchronous and asynchronous checkpointing.
**Collection**: llm
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Set the default value of `always_save_context` to True as its required to have the context for evaluating NeMo 2.0 ckpt as of now since we are converting it to 1.0 ckpt using this script: [convert_nemo2_for_export.py](https://github.com/NVIDIA/NeMo/blob/main/scripts/export/convert_nemo2_for_... | {
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📝 Please remember the following to-do's before merge:
- [ ] Verify the presubmit CI
🙏 Please merge this PR only if the CI workflow completed successfully. | {
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I appreciate all your efforts.
Does the team have a plan to support Llama-3.1 in Neva? | {
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"@yaoyu-33 , Can you merge this PR?"
] | 2024-09-19T11:40:15 | 2024-10-07T06:01:22 | 2024-10-07T06:01:22 | CONTRIBUTOR | {
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} | # What does this PR do ?
Added minor logics/fixes for convert_llava_nemo_to_hf.py
**Collection**: [Note which collection this PR will affect]
# Changelog
1. Change command script.
2. Set TP=PP=1 for conversion.
3. Add CPU-only option.
# Usage
* You can potentially add a usage example below
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Allow random read from tar files when using lhotse dataloaders
**Collection**: lhotse
# GitHub Actions CI
The Jenkins CI system has been replaced by GitHub Actions self-hosted runners.
The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR.
To ... | {
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Cherry pick of https://github.com/NVIDIA/NeMo/pull/10489 to `r2.0.0`.
**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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"Let me reopen this, some DCO issues due to initial target branch mismatch"
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Cherry pick of https://github.com/NVIDIA/NeMo/pull/10489
**Collection**: [Note which collection this PR will affect]
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📝 Please remember the following to-do's before merge:
- [ ] Verify the presubmit CI
🙏 Please merge this PR only if the CI workflow completed successfully. | {
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This MR provides an interface to enable the UCC backend for PP communication.
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<details>
<summary>Release notes</summary>
<p><em>Sourced from <a href="https://github.com/vllm-project/vllm/releases">vllm's releases</a>.</em></p>
<blockquote>
<h2>v0.5.5</h2>
<h2>Highlights</h2>
<h3>Performance Update</h3>
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Adds support for cudagraph in NeMo2.0.
Example config:
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> ffn_hidden_size=256,
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} | # What does this PR do ?
PR removed torch.stack calls from batched function yielding to faster decoding
**Collection**:
ASR
# Changelog
## Changes in `nemo/collections/asr/modules/rnnt.py`
### Refactoring
- **`batch_initialize_states()`** renamed to **`batch_stack_states`**
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} | # What does this PR do ?
Extending modelopt spec (used for PTQ) to use `TEDotProductAttention` in order to support long-context models using sliding window attention (e.g. StarCoder2), see also https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/core/inference/modelopt_support/gpt/model_specs.py.
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Help please | null | {
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If fixes confidence estimation for RNN-T models with blank frames not excluded from the calculation.
Fixes https://github.com/NVIDIA/NeMo/issues/10066
**Collection**: [Note which collection this PR will affect]
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📝 Please remember the following to-do's before merge:
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"It feels a bit arbitrary to me to have an extra abstraction just to get the number of input and output features. I would prefer if we refactor the transform method a bit into some more methods to get things like input... | 2024-09-17T23:25:25 | 2024-10-08T16:30:43 | 2024-10-08T16:30:36 | CONTRIBUTOR | {
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The LoRA implementation is currently hard-coded to `TransformerEngine` and torch nn.linear layers. It fails on regular `RowParallelLinear` and `ColumnParallelLinear` because the attributes it looks for do not exist on those modules. This module connector gives a mechanism to override the get... | {
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I pulled a nvcr.io/nvidia/nemo:24.05 docker image, and run the tutorial code in a container. But when I t... | {
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* Apply isort and black reformatting
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Renamed log to log_dir recently in NeMoLogger and did not update this.
**Collection**: [Note which collection this PR will affect]
# Changelog
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**Collection**: [Note which collection this PR will affect]
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# Usage
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I’m just a student highly inspired by your work on speaker diarization. I’m particularly excited about Sortformer and its novel use of Sort Loss to address the permutation problem in speaker diarization.
I’m eager to use [Sortformer](https://arxiv.org/abs/2409.06656) in my at home research and would ... | {
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"`cp_comm_type` setting looks good to me. This is an API change which needs TE >= 1.10. Will let NeMo folks decide if this is fine for NeMo container release."
] | 2024-09-16T13:50:11 | 2024-09-20T08:28:38 | 2024-09-20T08:28:35 | COLLABORATOR | {
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"May I ask for your approval @pablo-garay as this updates Dockerfile.ci? Thanks",
"> May I ask for your approval @pablo-garay as this updates Dockerfile.ci? Thanks\r\n\r\nOr @ko3n1g... thanks : )"
] | 2024-09-16T13:41:57 | 2024-09-18T16:19:49 | 2024-09-18T16:19:47 | COLLABORATOR | {
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Updating modelopt to 0.17.0
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"@Victor49152 @gautham-kollu @pablo-garay @ko3n1g Please review the changes, thanks!\r\ncc @Dido0o0"
] | 2024-09-16T13:41:16 | 2024-09-17T10:25:19 | 2024-09-17T10:25:19 | CONTRIBUTOR | {
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} | # What does this PR do ?
Specific pattern in SD inference flow can introduce illegal memory access with TE-DPA. We need to disable TE-DPA for eval/inference for now.
**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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"any leads?\n",
"Hi, thanks for the question and interest. We are working on improving the performance of canary on long form audio. We do also plan to release the model with timestamp generation soon. ",
"This issue is stale because it has been open for 30 days with no activity. Remove stale label or comment o... | 2024-09-16T09:26:34 | 2024-11-10T02:00:55 | 2024-11-10T02:00:55 | NONE | {
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I am trying to make working canary-1b on long audio file. Inspiring my self from [https://github.com/NVIDIA/NeMo/blob/b5798ded9f27168db9d7d77cbe4f9da80bf49268/examples/asr/asr_chunked_inference/aed/speech_to_text_aed_chunked_infer.py#L19](url) this notebook.
But the results are not convincing in regards of what whi... | {
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📝 Please remember the following to-do's before merge:
- [ ] Verify the presubmit CI
🙏 Please merge this PR only if the CI workflow completed successfully. | {
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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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Adds support for upcycling pretrained weights to a MoE model. This follows the paper: SPARSE UPCYCLING: TRAINING MIXTURE-OF-EXPERTS FROM DENSE CHECKPOINTS ([https://arxiv.org/pdf/2212.05055](https://arxiv.org/pdf/2212.05055))
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} | [🤖]: Hi @ashors1 👋,<br><br>we've cherry picked ` (10383)` into `r2.0.0` for you! 🚀<br><br>Please review and approve this cherry pick by your convenience! | {
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🙏 Please merge this PR only if the CI workflow completed successfully. | {
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I want to save checkpoints in `.nemo` format, so I set `exp_manager.checkpoint_callback_params.always_save_nemo: true`. And it works in the sense that it saves the checkpoint as a `.nemo`, but **the problem is that all the files get the same name, regardless of the step**.... | {
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] | 2024-09-13T09:36:17 | 2024-09-17T08:57:20 | 2024-09-17T08:57:18 | CONTRIBUTOR | {
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Context:
```
Container: NeMo 24.07
```
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docker pull the nvcr.io/nvidia/nemo:24.07 ,try to use /opt/NeMo/examples/nlp/language_modeling/megatron_gpt_pretraining.py pretrain,but have
ImportError: cannot import name '_TORCH_GREATER_EQUAL_2_0' from 'lightning_fabric.utilities.imports' (/usr/local/lib/python3.10/dist-packages/lightning_fab... | {
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