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"> 1. what do we still need in dataset code?\r\n\r\nRoughly the following:\r\n\r\n```python\r\ndef __getitem__(self, cuts):\r\n\r\n # existing audio / text processing code\r\n\r\n multimodal_convo_examples = cuts.filter(lambda c: isinstance(c, NeMoMultimodalConversation))\r\n if multimodal_convo_examples:\... | 2024-09-30T17:25:26 | 2024-10-01T20:29:38 | 2024-10-01T20:29:36 | COLLABORATOR | {
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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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"I'm closing this as it's covered by https://github.com/NVIDIA/NeMo/pull/10697"
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For `NemoTokenizerGroup` in the base class [BaseTokenizerGroup](https://github.com/vllm-project/vllm/blob/v0.5.3/vllm/transformers_utils/tokenizer_group/base_tokenizer_group.py#L13-L17) from vLLM there is an abstract `from_config` method that needs to be implemented. This change mocks the i... | {
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"It would still work to a certain degree without re-training, but you will get much better result if you retrain a new model.\nNot only MSDD model, optimizing the clustering algorithm on the scale length and scale weights on the new embedding would also affect a lot on the performance.",
"This issue is stale bec... | 2024-09-30T09:27:00 | 2024-11-11T08:46:00 | 2024-11-11T08:46:00 | NONE | {
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I want to construct a pipeline with a different VAD and embedding model but still use the MSDD model | {
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"Which NeMo version is this? Greedy decoding for Canary should work if you install the latest 2.0 pre-release, or the latest `main` branch.",
"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 becau... | 2024-09-30T06:55:04 | 2024-11-15T02:02:38 | 2024-11-15T02:02:38 | NONE | {
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} | null | null | null | **Describe the bug**
A clear and concise description of what the bug is.
I am using nemo inside docker environment, with single GPU, unable to get the ASR ouput using canary 1b model
```
Error executing job with overrides: ['pretrained_name=nvidia/canary-1b', 'audio_dir=/opt/workspace/es_test', 'output_filename=cana... | {
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"And I often have this warning, please how to solve it \n`zarr distributed checkpoint backend is deprecated. Please switch to PyTorch Distributed format (`torch_dist`).\n`",
"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."... | 2024-09-30T05:36:02 | 2024-11-08T01:57:54 | 2024-11-08T01:57:53 | NONE | {
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} | null | null | null | ```
python3 /opt/NeMo/scripts/checkpoint_converters/convert_llava_hf_to_nemo.py \
--input_name_or_path llava-hf/llava-1.5-7b-hf \
--output_path /workspace/checkpoints/llava-7b.nemo \
--tokenizer_path /workspace/checkpoints/vicuna-7b-v1.5/tokenizer_neva.model
```
Keep reporting errors
```
[NeMo I 2024-09-30 ... | {
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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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"It seems there is a bug in create_text_and_labels function of \n.local/lib/python3.10/site-packages/nemo/collections/nlp/data/token_classification\n\nI had tried to run it directly \n`\ncreate_text_and_labels(\"/tmp\", \"/punct/src/test.txt\", \"՞,․՜՝«»՛․։…\")\n`\nBut no any result!\n",
"The reason is an absent... | 2024-09-29T14:55:11 | 2024-11-09T01:55:50 | 2024-11-09T01:55:49 | NONE | {
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Please help me to add custom Punctuation marks to following script.
python examples/nlp/token_classification/data/prepare_data_for_punctuation_capitalization.py \
-s <PATH/TO/THE/SOURCE/FILE> \
-o <PATH/TO/THE/OUTPUT/DIRECTORY>
-p ? --marks ?
I can not add.
Thank you in advance! | {
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Fix a typo in the `nemo/collections/asr/models/rnnt_bpe_models.py` file.
**Collection**: ASR
# Changelog
- Fixed typo `tokenier` to `tokenizer` in `rnnt_bpe_models.py`.
# Usage
N/A
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```
Training epoch 0, iteration 196/3999 | lr: 2.954e-05 | consumed_samples: 4728 | global_batch_size: 24 | global_step: 196 | reduced_train_loss: 10.84 | train_step_timing in s: 0.9765
Training epoch 0, iteration 197/3999 | lr: 2.969e-05 | consumed_samples: 4752 | global_batch_size: 24 | global_s... | {
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+training.model.context_parallel_comm_backend=ucc
You also need to disable the CUDA_DEVICE_MAX_CONNECTIONS=1 restriction.
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Reverts [PR 10547](https://github.com/NVIDIA/NeMo/pull/10547)
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+training.model.data_parallel_comm_backend=ucc
set CUDA_DEVICE_MAX_CONNECTIONS=8
which is in NeMo-Launcher `launcher/launcher_scripts/nemo_launcher/core/stages.py:_cuda_device_max_connections()`
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`model.dist_ckpt_load_strictness` allows to ignore mismatches during checkpoint loading.
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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_ex... | {
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"[🤖]: Hi @janekl 👋,\n\nI just wanted to let you know that, you know, a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11072591119) for this PR just finished successfully ✨\n\nSo it might be time to merge this PR or like to get some approvals 🚀\n\nBut I'm just a 🤖 so I'll leave it you what to do nex... | 2024-09-27T14:34:51 | 2024-09-27T17:47:34 | 2024-09-27T17:47:32 | COLLABORATOR | {
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Updating modelopt layer specification to extend PTQ support for Mixtral, see also https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/core/models/gpt/gpt_layer_specs.py.
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**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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📝 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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Adds support for limit_train_batches (as used in PTL) to work correctly. Without this PR, use of limit_train_batches less than 1.0 or num_samples will not work correctly when doing multi-epoch training in downstream libraries such as Nemo-Aligner.
**Collection**: NLP
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- ne... | {
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} | # What does this PR do ?
Get checkpoint connector working for bionemo (see https://github.com/NVIDIA/bionemo-fw-ea/pull/180)
# Changelog
- Use new nemo2 standard `/weights` and `/context` subdirectory scheme so checkpoint loaders work properly with checkpoints created by this method.
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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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"@hemildesai this is great, have you run a two node job to test resuming from an HF checkpoint? What's the process for the user? I imagine this will be a frequent request so I want to make sure it's as frictionless as possible.\r\n\r\nI did a quick pass but will revisit later today. Thanks.",
"> @hemildesai this ... | 2024-09-26T22:46:05 | 2024-10-17T04:31:09 | 2024-10-08T18:31:13 | COLLABORATOR | {
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} | # What does this PR do ?
Checkpoint conversion is not feasible inside AutoResume as it is not reliable in multi process/multi node scenarios. This update disables checkpoint conversion inside AutoResume and forces users to use a NeMo based checkpoint.
**Collection**: [Note which collection this PR will affect]
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"for using MOS model, a container with torchaudio should be used. otherwise, comment MOS model loading and inference "
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} | # What does this PR do ?
When using tensor parallelism, model assumes Nemo codec/ASR/MOS checkpoints are parallelized. This PR will fix loading checkpoints when tp is enabled
## Who can review?
@zhehuaichen
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} | # What does this PR do ?
Update to use encoder_tp_size and encoder_pp_size in MCore API. This enables more flexible parallelism in encoder-decoder models and VLMs.
**Collection**: [common]
# Changelog
- Add specific line by line info of high level changes in this PR.
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Example workflow for quantizing NeMo 2.0 checkpoint.
**Collection**: llm
# Known Issues
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1. environ variables
2. Microbatch config
Are both stateful when multiple tests are run in the same process.
**Collection**: [Note which collection this PR will affect]
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Adding Resume pretraining for NeMo 2.0 T5 CICD
**Collection**: [Note which collection this PR will affect]
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**Collection**: [Note which collection this PR will affect]
# Changelog
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Cherry pick a few related PRs: #10466 #10611 #10632
**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 GitHub actions tests for SFT/PEFT workloads in NeMo 2
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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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# What does this PR do ?
'[datasets](https://pypi.org/project/datasets/#history)' recently released the latest version 3.0.0 on Sep 11th, but some HF datasets (e.g., [MCV 3.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_3_0), [MCV 6.1](https://huggingface.co/datasets/mozilla-foundation/common_v... | {
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Evaluations can be run by first deploying the model on PyTriton server via deploy method followed by running the evaluate method to... | {
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"I am wasting time on reinstallation ans re-configuration of all software components.\nUnfortunately yet there is no result.\nOnly the error was changed:\n```\n\nTraceback (most recent call last):\n File \"/maroc/nemoasr/pc.py\", line 1, in <module>\n from nemo.collections.nlp.models import PunctuationCapitaliz... | 2024-09-25T06:25:26 | 2024-09-29T14:09:08 | 2024-09-29T14:09:07 | NONE | {
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} | null | null | null | Dear Team,
I am trying to test "Punctuation and Capitalization Model" Quick Start Guide
from
https://docs.nvidia.com/nemo-framework/user-guide/latest/nemotoolkit/nlp/punctuation_and_capitalization.html
```
from nemo.collections.nlp.models import PunctuationCapitalizationModel
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"@akoumpa , Ideally can we also start updating mcore generate, because going forward, nemo will be using mcore generate\r\n",
"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 be... | 2024-09-25T06:21:38 | 2024-10-25T01:59:26 | 2024-10-25T01:59:25 | MEMBER | {
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} | # What does this PR do ?
Ensures proper padding during generation; proper= sequence length is dividable by TP/SP.
**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 belo... | {
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"@cuichenx it skips the random initialization of weights, since those will be overwritten anyway with the ones from checkpoint. Random initialization can be a a bottleneck/time-consuming if it happens on CPU and have a large model.\r\n",
"> @cuichenx it skips the random initialization of weights, since those will... | 2024-09-25T04:48:32 | 2024-09-27T13:57:58 | 2024-09-27T13:57:56 | MEMBER | {
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**Collection**: llm
# Changelog
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* You can potentially add a usage example below
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} | # What does this PR do ?
Fix contiguous tensor issue in LoRA with mbs>1
**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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📝 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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src https://github.com/NVIDIA/NeMo/pull/10602
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# Changelog
- Add specific line by line info of high level changes in this PR.
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} | …wargs & overwrite device)
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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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} | # What does this PR do ?
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- Add specific line by line info of high level changes in this PR.
# Usage
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} | [🤖]: Hi @oyilmaz-nvidia 👋,<br><br>we've cherry picked #10544 into `r2.0.0` for you! 🚀<br><br>Please review and approve this cherry pick by your convenience\! | {
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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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} | # What does this PR do ?
Import guard for SimpleMultiModalDataModule (energon)
my usecase: if I have an older container and I want to debug something and part of the debugging requires me to use a newer version of NeMo then I want to do that without having to install dependencies of other collections (I'm mainly ... | {
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* fix pps bug
* remove config file
---------
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**Collection**: [Note which collection this PR will affect]
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TORCHDYNAMO_DISABLE=1 did not fix the timeouts;
Converted this to a PR to make /home/TestData readonly.
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Fix Clip initializing issue in r2.0.0
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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."
] | 2024-09-23T15:44:30 | 2024-10-21T14:37:14 | 2024-10-21T14:37:10 | COLLABORATOR | {
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} | # What does this PR do ?
Moves common normalizer code into base class. Makes error soft rather than throwing hard ImportError
**Collection**: tts
# Changelog
- NeMo TN no longer throws errors in TTS collection
# GitHub Actions CI
The Jenkins CI system has been replaced by GitHub Actions self-hosted run... | {
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"Please fill out the template and reopen. Thank you!"
] | 2024-09-23T15:38:31 | 2024-09-25T18:14:39 | 2024-09-25T18:14:38 | NONE | {
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} | null | null | null | **Describe the bug**
A clear and concise description of what the bug is.
**Steps/Code to reproduce bug**
Please list *minimal* steps or code snippet for us to be able to reproduce the bug.
A helpful guide on on how to craft a minimal bug report http://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports.
... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/10582 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/10582/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/10582/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/10582/events | https://github.com/NVIDIA/NeMo/issues/10582 | 2,542,964,180 | I_kwDOC_bI7s6Xko3U | 10,582 | cosine annealing linear warmup lr=0 on first step | {
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"I'm not sure we want to modify that lr schedule as it's been used as-is for so long. Can you use your own implementation? NeMo supports users to use their own lr schedules.\n\nhttps://docs.nvidia.com/nemo-framework/user-guide/latest/nemotoolkit/core/core.html?highlight=learning%2520rate#learning-rate-schedulers\n"... | 2024-09-23T15:10:46 | 2024-09-27T12:57:18 | 2024-09-27T12:57:18 | CONTRIBUTOR | {
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} | null | null | null | **Describe the bug**
Please see https://github.com/NVIDIA/NeMo/pull/10530
**Steps/Code to reproduce bug**
Please see https://github.com/NVIDIA/NeMo/pull/10530
**Expected behavior**
LR != 0 on a first step
**Environment overview (please complete the following information)**
- Environment location: [Bare-metal, D... | {
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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.",
"[🤖]: Hi @stevehuang52 👋,\n\nWe wanted to let you know that a [CICD pipeline](https://github.com/$REPOSITORY/actions/runs/$RUN_ID) for this PR just finished succes... | 2024-09-23T14:33:37 | 2024-10-08T15:51:29 | 2024-10-08T15:51:28 | COLLABORATOR | {
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"merged_at": "2024-10-08T15:51:28"
} | # What does this PR do ?
fix chunked infer
**Collection**: [asr]
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https://api.github.com/repos/NVIDIA/NeMo/issues/10580 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/10580/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/10580/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/10580/events | https://github.com/NVIDIA/NeMo/issues/10580 | 2,542,286,409 | I_kwDOC_bI7s6XiDZJ | 10,580 | Unable to export parakeet-ctc-0.6b.nemo to ONNX file | {
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"Same error for us:\n\n\n```\nmodel = EncDecCTCModelBPE.restore_from(\"model_lt_ctc.nemo\")\nie = model.input_module.input_example(max_batch=1, max_dim=256)\nmodel.export(output=\"model_lt_ctc_exp.onnx\", input_example=ie, verbose=True)\n```\n\n\nError:\n\n```\nTraceback (most recent call last):\n File \"<stdin>\"... | 2024-09-23T10:58:17 | 2024-10-16T08:07:24 | 2024-09-23T11:00:15 | NONE | {
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} | null | null | null | **Describe the bug**
When exporting the parakeet-ctc-0.6b.nemo to an ONNX file via the export() method, it creates a 2.7MB ONNX file, and dumps the rest of the ONNX files into the same folder, instead of in the ONNX file.
**Steps/Code to reproduce bug**
`import nemo.collections.asr as nemo_asr
asr_model = nemo_asr.m... | {
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