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**Collection**: [Note which collection this PR will affect]
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**Collection**: [Note which collection this PR will affect]
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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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This PR fixes inaccurate CTM time stamps from multispeaker data simulator.
**Collection**: [Note which collection this PR will affect]
ASR
# Changelog
The function `create_new_ctm_entry`'s argument `start` should be float
Original:
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Improved hparams logging
- Currently model hyperparemeters are saved as a single raw string under key "cfg" in wandb, this is due to omegaconf.DictConfig is not considered json serializable by pytorch_lighting. This patch converts `cfg` object to plain python dict and save it under key "mod... | {
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Fixed exp_manager.wandb_logger_kwargs.config
Configuring wandb.config using hydra configuration file and/or its cli overrides is useful, it allows adding metadata to wandb run without modifying python code.
Currently passing wandb 'config' in exp_manager.wandb_logger_kwargs won't work be... | {
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Add Baichuan and ChatGLM
**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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📝 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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Add the mcore interface for distributed optimizer arg; overlap param AG with optimizer
# Changelog
- Pass `overlap_param_gather_with_optimizer_step` to megatron-core
- Enable `delay_param_gather` for aligning param AG timing across PP ranks by default
- Fix the input args of `finish_p... | {
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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.
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} | # What does this PR do ?
Various fixes to docs to reduce the warnings we currently have and make sure docs work as intended.
Requesting reviews from:
* @yaoyu-33 - glance over docs fixes
* @stevehuang52 - check over type hint change (from using | to Union), see more info in changelog
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"@hemildesai For better integration"
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} | # What does this PR do ?
Support NeMo 2.0 long context recipe
**Collection**: llm
# 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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} | … host & device sync in it.
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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.",
"[🤖]: Hi @akoumpa 👋,\n\nWe wanted to let you know that a [CICD pipelin... | 2024-08-13T20:09:05 | 2024-10-15T19:24:26 | 2024-10-15T19:24:25 | MEMBER | {
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Without this PR
```
Training epoch 0, iteration 0/9 | lr: 0.0006 | consumed_samples: 32 | global_batch_size: 32 | global_step: 0 | reduced_train_loss: 11.02
Training epoch 0, iteration 1/9 | lr: 0.0006 | consumed_samples: 64 | global_batch_size: 32 | global_step: 1 | reduced_train_loss: 9... | {
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"stopping this for now until our CI is out of maintenance ",
"Looks good, thanks! Can we clean up some of the old comments in the test script?"
] | 2024-08-13T17:36:38 | 2024-08-21T23:38:51 | 2024-08-21T23:38:49 | COLLABORATOR | {
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} | # What does this PR do ?
Add FLOPsMeasurementCallback only if tensorboard logger (`exp_manager.create_tensorboard_logger`) is enabled.
**Collection**: [Run CICD]
# Changelog
```
if self.cfg.get('exp_manager', {}).get('create_tensorboard_logger', False):
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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 ex... | {
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"@KunalDhawan can you add the flag to the tokenizer ?",
"Hi @titu1994, after some investigation into the above issue, I don't think AggregateTokenizer is well suited for the current implementation of flashlight decoder/ word-boosting due to the following rea... | 2024-08-13T07:53:45 | 2024-10-18T01:59:13 | 2024-10-18T01:59:12 | NONE | {
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I am getting `TypeError: AggregateTokenizer.token_to_id() missing 1 required positional argument: 'lang_id'` when doing an inference on a multilingual ASR model trained using multiple tokenizers with `land_id` added in ... | {
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stt_multilingual_fastconformer_hybrid_large_pc_blend_eu,
stt_de_fastconformer_hybrid_large_pc,
stt_es_fastconformer_hybrid_large_pc,
stt_fr_fastconformer_hybrid_large_pc.
Its intuitive to think that you used nemo text processing package for text norm. But I tried to finetun... | {
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📝 Please remember the following to-do's before merge:
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Fix PEFT checkpoint saving
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Comment out stable diffusion test until ptl 2.4.0 fix is in place.
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pytorch_lightning.trainer.connectors.logger_connector.result _ResultCollection register_key function is deprecated in ptl 2.4.0
The use of this function needs to be updated in https://github.com/NVIDIA/NeMo/blob/main/nemo/utils/callbacks/cuda_graph.py#L377
**Steps/Code to reproduce bug**
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} | # What does this PR do ?
This PR fixes two type errors that occured when I was trying to train a SpeechLLM model with [Fast Conformer](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo/models/stt_en_fastconformer_ctc_large) and [LLaMa 3.1](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo/models/llama-3_1-8b... | {
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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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"I managed to figure it out, and for those who are searching, they might find this as a helpful reference: \r\n\r\nTo address the issue, you can modify the code in `nemo/collections/asr/models/ctc_models.py`. Specifically, navigate to line 502, which is:\r\n\r\n```\r\nif self.spec_augmentation is not None and self.... | 2024-08-12T10:33:13 | 2024-08-12T14:59:23 | 2024-08-12T14:59:23 | NONE | {
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Is it possible to apply Spec Augmentation during testing or transcription? If so, could you provide the necessary configurations or code snippets?
Thank... | {
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"Could you also plot lr graph? Your validation loss kept on increasing. Could you start with 1024 tokens, howver you mentioned the same tokens work well for Conformer, does that mean you tried same set up with Conformer and it trained well and you are only seeing issues with FastConformer? \r\n\r\nIf possible share... | 2024-08-12T01:33:11 | 2024-08-23T03:30:06 | 2024-08-23T03:30:05 | NONE | {
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} | null | null | null | First of all, thank you for creating and maintaining this incredible framework. It has been a valuable tool for our work.
I am currently attempting to fine-tune the Fast Conformer CTC model on a Korean language dataset (1000 hours) using the pretrained English model as the starting point
- Tokenizer: We are usin... | {
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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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Add config files and corresponding modules for optimized audio codec training.
**Collection**: [TTS]
# Changelog
- Add config files for training 22khz and 44khz audio codec.
- Add inverted HiFiGAN audio encoder
- Add multi resolution STFT discriminator from DAC. This does not make m... | {
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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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Some of the Canary changes lead to unreliable use of the `lang_field` slot. There should be a test to check for it in the future for CI integration.
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**Collection**: [Note which collection this PR will affect]
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Add a one line overview of what this PR aims to accomplish.
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"closes #9967 ",
"> I think this approach is correct, although quite inefficient (after a few saves, we will load and save old ckpt on **each** new ckpt save).\r\n> \r\n> For now I think it's fine for users who need this functionality, long term we can separate the model and optimizer state inside the checkpoint ... | 2024-08-09T17:31:15 | 2024-09-18T17:36:02 | 2024-09-18T17:36:01 | COLLABORATOR | {
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} | # What does this PR do ?
1. Adds save_last_n_optim_states to save optimizer states only for last n checkpoints. This approach allows to save the disk space. Checkpoint file without optimizer states weighs about 7 times less
2. Now it's also possible to load checkpoint without optimizer states for the inference.
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**Collection**: [ci]
# Changelog
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# Usage
* You can potentially add a usage example below
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"@JimmyZhang12 I'm not sure I will be able to test this, but I'd like to try to manually test the NeMo-Aligner TRTLLM integration with this PR. It looks like this PR is rooted after @oyilmaz-nvidia upgraded to v11, so I can try a one-off build of (TRTLLM v10) + (this Nemo PR) + (mcore ToT) and hopefully with a few ... | 2024-08-09T11:57:12 | 2024-08-29T07:56:27 | 2024-08-29T07:56:26 | COLLABORATOR | {
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} | # What does this PR do ?
Add support for exporting FP8 TE NeMo to TRT LLM.
**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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"@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 ... | 2024-08-09T09:52:16 | 2024-08-14T06:10:20 | 2024-08-14T06:10:20 | COLLABORATOR | {
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} | # What does this PR do ?
Documents performance benchmarks for LLM pre-training and finetuning using NeMo 24.07
**Collection**: [Run CICD]
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**Collection**: [Note which collection this PR will affect]
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* You can potentially add a usage example below
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"This PR for megatron core should fix the issue: https://github.com/NVIDIA/Megatron-LM/pull/996. Can you try it?",
"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... | 2024-08-09T03:16:05 | 2024-09-29T02:02:59 | 2024-09-29T02:02:59 | NONE | {
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} | null | null | null | **Describe the bug**
When I convert qwen2-7B to nemo format, I run the command` python3 scripts/checkpoint_converters/convert_qwen2_hf_to_nemo.py --input_name_or_path=/infinity/models/qwen2/Qwen2-7B --output_path=/infinity/models/qwen2/Qwen2-7B.Nemo` in nvcr.io/nvidia/nemo:24.05, the following error occurs:
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} | 🚀 PR to Bump `Dockerfile.ci`.
📝 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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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`.
**Collection**: [Note which collection this PR wi... | {
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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?\r\n\r\nWe can take the global step... | 2024-08-08T22:17:30 | 2024-08-15T20:02:43 | 2024-08-15T20:02:41 | COLLABORATOR | {
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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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} | 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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* Allows the user to provide tasks via "task" slot instead of "taskname".
* Fixes an issue in Canary's training dataset class.
**Collection**: ASR
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https://docs.nvidia.com/nemo-framework/user-guide/latest/nemotoolkit/asr/configs.html#fine-tuning-configurations
First I have created a docker container and inside the container i am r... | {
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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 do... | {
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} | # 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
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} | 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... | {
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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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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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"@marcromeyn @jstjohn for vis"
] | 2024-08-07T22:38:04 | 2024-08-09T18:54:03 | 2024-08-09T18:44:44 | CONTRIBUTOR | {
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} | # 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 im... | {
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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.\r\nhttps:/... | 2024-08-07T21:39:26 | 2024-12-19T21:09:35 | 2024-08-31T01:54:05 | CONTRIBUTOR | {
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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
- htt... | {
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Config changes to match nemo 1
**Collection**: [Note which collection this PR will affect]
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incorporate mamba as a part of gpt models.
**Collection**: [NLP]
# Changelog
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# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
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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
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fix clip onnx export in CI due to clip attention changes in the recent transformers update.
**Collection**: [Note which collection this PR will affect]
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Bumped torch version of base container used for tts asr testing as pytorch-lightning>2.2.1 requires torch>=2.1.0
**Collection**: [test]
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Fixing the bug for torch dist ckpt read in export | {
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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
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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)
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https://api.github.com/repos/NVIDIA/NeMo/issues/10067 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/10067/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/10067/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/10067/events | https://github.com/NVIDIA/NeMo/pull/10067 | 2,453,318,944 | PR_kwDOC_bI7s53tDRa | 10,067 | [NeMo-UX] Dump io inside ModelConnector | {
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"@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"
] | 2024-08-07T12:06:02 | 2024-08-15T22:09:20 | 2024-08-15T22:09:18 | COLLABORATOR | {
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"@Vladi-SmartAssets Hi,\r\nI cannot reproduce the issue in the latest main.\r\nWhat NeMo version are you using?",
"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 ... | 2024-08-07T11:57:36 | 2024-09-29T02:03:01 | 2024-09-29T02:03:00 | NONE | {
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} | null | null | null | **Describe the bug**
TypeError: unsupported operand type(s) for +: 'Tensor' and 'list', occurs when wanting to extract the confidence levels for the STT FastConformer model.
**Steps/Code to reproduce bug**
`class NemoModel(HuggingFaceBaseModel):
def __init__(self, model_name, model_path):
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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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