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found some paths not covered by our labeler.
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Fix error in loading checkpoints. The pytorch [load_state_dict()](https://pytorch.org/docs/stable/generated/torch.nn.Module.html?highlight=load_state_dict#torch.nn.Module.load_state_dict) function has return variable that was not returned by this function in this file.
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Fixed the caching bug in the convolution layers for cache-aware models
# Changelog
- Fixed the caching bug in the convolution layers for cache-aware models
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"merged_at": "2023-07-20T16:18:37"
} | # What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
**Collection**: ASR 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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Dear Team,
I am training **conformer based SSL** model where I have configured the parameters
**min_duration : 3.2
patch_size: 16
mask_patches: 0.5
num_negatives: 40
sample_from_same_utterance_only: true
sample_from_non_masked: false
codebook_size: 300
num_groups: 2
num_classes: ... | {
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} | # What does this PR do ?
Fix import of numba to prevent doc breakage.
importlib cannot actually import a module that is mocked, trying to call `module.__version__` will return a mock module object - not a string and then Version() will fail to parse that mock object.
This PR defers the attempt to find the ve... | {
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} | # What does this PR do ?
Update some VAD doc and fix onnx exportable.
Had to overwrite the `forward_for_export` function because the MLP class in `collections.common` doesn't have neural types and the param list of MLP doesn't have `encoder_output` which is used in ASR models
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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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I am trying to load titanet small using the following line of code:
```
nemo_speaker_model_small = EncDecSpeakerLabelModel.from_pretrained(model_name="titanet_small")
```
Here is the error:
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} | # What does this PR do ?
Support LLaMa model: checkpoint conversion, pretraining, SFT, PEFT
# 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 code snippet demonstrating how to use this
```
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Support LLaMa model: checkpoint conversion, pretraining, SFT, PEFT
# 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 code snippet demonstrating how to use this
```
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**We are trying to submit a paper to the Social-IQ-2.0 challenge (ICCV2023) and the submission deadline is on July 21, we would be thankful if you can fix this quickly and release a stable version, we have troubles using the package since yesterday**
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# Usage
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} | # What does this PR do ?
This PR adds the following items related to multi-lookahead cache-aware streaming models:
+ documentation
+ support of multi-lookahead for transcribe_speech.py, transcribe_speech_parallel.py, and speech_to_text_eval.py,
+ one pre-trained model which is uploaded on NGC and supports 0s, 80... | {
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} | # What does this PR do ?
Fix import of numba to prevent doc breakage.
importlib cannot actually import a module that is mocked, trying to call `module.__version__` will return a mock module object - not a string and then Version() will fail to parse that mock object.
This PR defers the attempt to find the ve... | {
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This PR adds support for standalone embeddings in NeMo FW
**Collection**: [NLP]
# Changelog
- Adds standalone embedding stage support
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
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} | # What does this PR do ?
Adds naive support for flash attention 2.0.
[TODO]: Add support for the fixed seq length implementation which should be faster.
**Collection**: NLP
# Changelog
- Add specific line by line info of high level changes in this PR.
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GPTSFTDataset uses memmap data loading which uses python mp to create index files. The number of workers for the index file creation defaults to os.cpu_count() // 2 which might be too high for shared nodes.
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} | Other ranks with multi-node training may reach this code before rank 0 and torch.distributed has not been initialized and does not wait for download
# What does this PR do ?
Fix to be flexible to download by other ranks if not initialized and errors looking for file that does not exist yet
**Collection**: [NLP... | {
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PyYAML<6 in requirements breaks the installation on Google Colab. Removing the PyYAML<6 requirement from requirements/requirements_lightning.txt solves the problem.
**Steps/Code to reproduce bug**
Just run the first cell of https://github.com/NVIDIA/NeMo/blob/stable/tutorials/nlp/Punctuati... | {
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Fixes typo in ASR-TTS tutorial.
Also changes branch to r1.20.0 for installation.
Add a one line overview of what this PR aims to accomplish.
**Collection**: [ASR]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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} | # What does this PR do ?
- Support to allow mixed tasks into a single inference batch.
- Supports layer selection for LoRa and Adapters
- Supports weight tying for LoRa and Adapters
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level change... | {
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```
File "/disks/yaroslav/envs/nemo2/lib/python3.9/site-packages/torch/cuda/amp/autocast_mode.py", line 123, in decorate_bwd
return bwd(*args, **kwargs)
File "/disks/yaroslav/envs/nemo2... | {
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} | # What does this PR do ?
Remove PyYAML
**Collection**: [Core]
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary tests?
- [ ] Did you add or up... | {
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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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Remove PyYAML
**Collection**: [Core]
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**Pre checks**:
- [x] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
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Fixes broken PyYAML installation by fixing the version <= 5.3.1
See the issue: https://github.com/yaml/pyyaml/issues/724
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**Collection**: [Note which collection this PR will affect]
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Fix typo in ASR-TTS tutorial (for main branch)
**Collection**: [Note which collection this PR will affect]
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Fixes typo in ASR-TTS tutorial.
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Fixes ASR-TTS tutorial name in tutorials.rst
**Collection**: docs
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# Usage
N/A
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I have been using NeMo in google collab and after I disconnected and deleted the runtime and moved over to a new account when I ran out of free GPU time, I haven't been able to install NeMo since, not even on my host computer.
**Steps/Code to reproduce bug**
>Input
```
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Any idea on how to include this information along with logging infos on loss, global step, consumed samples etc. for each step. | {
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Using nemo toolkit in a production environment is not really an option, since you usually don't work
with files but streams, byte arrays etc. This is problematic since all classes and functions in Nemo
expect .wav files to work with.
**Describe th... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/7043 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/7043/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/7043/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/7043/events | https://github.com/NVIDIA/NeMo/issues/7043 | 1,807,586,267 | I_kwDOC_bI7s5rvZPb | 7,043 | Get the confidence value for the classified output | {
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I am trying to get the confidence value with which the output labels are generated. Like for example, given a *.wav as input, I am able to extract some label from the model. But I would like to know the confidence level with which the labels are extracted for a single audio. I would need this information for ... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/7042 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/7042/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/7042/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/7042/events | https://github.com/NVIDIA/NeMo/issues/7042 | 1,807,107,302 | I_kwDOC_bI7s5rtkTm | 7,042 | How to train conformer architecture for speaker recognition task, by changing the decoder and loss function. | {
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} | null | null | null | I had a SSL unsupervised pretrain conformer checkpoint. I wanted to use it for speaker recognition task. what changes i need to make in my config to do the same @titu1994 @meghmak13 | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/7040 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/7040/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/7040/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/7040/events | https://github.com/NVIDIA/NeMo/issues/7040 | 1,806,497,594 | I_kwDOC_bI7s5rrPc6 | 7,040 | A little confusion about learning rate decay parameters for fastpitch and hifigan | {
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After modifying min_lr and max_epoch from default, I trained fastpitch for 500 epochs and hifigan for 52 epochs on my dataset, which consists of 25,584 audio clips totaling 44 hours. I found no decay in the learning rate.
fastpitch:
![fastpitch](h... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/7039 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/7039/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/7039/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/7039/events | https://github.com/NVIDIA/NeMo/issues/7039 | 1,805,710,962 | I_kwDOC_bI7s5roPZy | 7,039 | Training Kerple Parameters with Constraints | {
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I see that NeMo implements [Kerple](https://arxiv.org/pdf/2205.09921.pdf). According to the paper, there are some constraints on the valid values for its learnable parameters. For example, [`self.kerple_p`](https://github.com/NVIDIA/NeMo/blob/main/nemo/collections/nlp/modules/common/megatron/position_embedding/k... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/7038 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/7038/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/7038/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/7038/events | https://github.com/NVIDIA/NeMo/pull/7038 | 1,805,689,672 | PR_kwDOC_bI7s5VkGAG | 7,038 | Add support for Numba FP16 RNNT Loss (#6991) | {
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} | Cherry pick RNNT FP 16 Compat to NeMo 1.20
Signed-off-by: smajumdar <titu1994@gmail.com>
# What does this PR do ?
Adds Numba FP 16 support to NeMo 1.20
**Collection**: [ASR]
# Usage
## Install dependencies
[Numba](https://github.com/numba/numba) 0.57+ (conda install numba=0.57.1 -c conda-forge)
[CUD... | {
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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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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've made fine-tuning custom Bert model from huggingface for TokenClassification, saved the best checkpoint as .nemo file as the result.
Then I want to load that checkpoint for model inference
```
model = TokenClassificationModel.restore_from("/tmp/model/best_ckpt.nemo")
```
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} | # What does this PR do ?
Fixed the caching bug in the convolution layers for cache-aware models
# Changelog
- Fixed the caching bug in the convolution layers for cache-aware models
**PR Type**:
- [ ] New Feature
- [X] Bugfix
- [ ] Documentation
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} | # What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
adds 'BoolType' to exportables from `neural_type.elements`
**Collection**: [Note which collection this PR will affect]
Core
# Before your PR is "Ready for review"
**Pre checks**:
- [Y ] Make sure you read and followed [C... | {
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fix issue https://github.com/NVIDIA/NeMo/issues/7025
**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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Update SDP docs page with a new documentation link.
**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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} | # What does this PR do ?
fix install_beamsearch_decoders.sh
**Collection**: ASR
# Changelog
- install_beamsearch_decoders.sh work with and without root user
- provide NEMO_PATH in the tutorial Offline_ASR.ipynb
**PR Type**:
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# Additional Information
* Related to # 4186721
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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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* 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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The [init function](https://github.com/NVIDIA/NeMo/blob/main/nemo/collections/nlp/parts/nlp_overrides.py#L94) of NLPDDPStrategy class is passing args
```
parallel_devices, cluster_environment, checkpoint_io
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Add a one line overview of what this PR aims to accomplish.
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# Usage
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**Collection**: [ASR]
# Changelog
- Tutorial for using hybrid ASR-TTS Models (`ASRWithTTSModel`)
- fix enhancer loading in `ASRWithTTSModel`
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```python
import nemo.collections.asr as nemo_asr
model = nemo_asr.models.EncDecFrameClassificationModel.from_pretrained(model_name="vad_multilingual_frame_marblenet")
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} | # What does this PR do ?
fix install_beamsearch_decoders.sh
**Collection**: ASR
# Changelog
- install_beamsearch_decoders.sh work with and without root user
- provide NEMO_PATH in the tutorial Offline_ASR.ipynb
**PR Type**:
- [V ] Bugfix
# Additional Information
* Related to # 4186721
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Add a one line overview of what this PR aims to accomplish.
**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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Adds the torchfix linter to all PRs
**Collection**: [Core]
# Changelog
- Scans the codebase python files to analyse torch fixes / improvements
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor guidelines](https://github.co... | {
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When downloading the tokenizer from cache with multi-node, some ranks may see that the path does not exist yet and multiple ranks will attempt to download causing errors.
**Collection**: [NLP]
# Changelog
- Add specific line by line info of high level changes in this PR.
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Inference caching was using the wrong embedding size.
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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Some tokenizers don't have attributes `.tokenizer` or `.tokenizer.byte_decoder`, which results in crashing for these tokenizers (e.g., TikTokenizer and probably most tokenizers implemented in NeMo that derived from TokenizerSpec).
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} | # What does this PR do ?
Add aliases for pretrained English FastPitch and SpectrogramEnhancer models (already published on NGC)
https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo/models/tts_en_fastpitch_spectrogram_enhancer_for_asr_finetuning
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https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo/models/tts_en_fastpitch_spectrogram_enhancer_for_asr_finetuning
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} | # What does this PR do ?
fix install_beamsearch_decoders.sh
**Collection**: ASR
# Changelog
- fix install_beamsearch_decoders.sh
# Usage
* install_beamsearch_decoders.sh work with and without root user
* provide NEMO_PATH in the tutorial Offline_ASR.ipynb
**PR Type**:
- [V ] Bugfix
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There was a bug in the `preprocess_data_for_megatron.py` script which caused it to crash when specifying a folder of `json` files that aren't gzipped.
**Collection**: NLP
# Changelog
- Modified line in `preprocess_data_for_megatron.py` which was causing a crash when specifying folde... | {
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Add a one line overview of what this PR aims to accomplish.
**Collection**: NLP
# Changelog
- Added the ability to do length extrapolation with RoPE via interpolation.
- Added a continue training script for GPT
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} | # What does this PR do ?
* Adds a new parameter to transcribe_speech.py to allow computing the alignment without timestamps (significant speed up for conf ensembles).
* Makes sure the confidence is always computed on top of the normalized logits (i.e. after softmax). Was not the case for Transducer based mode.
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Remove the need to load the yaml module inside GPT model and use hydra config instead.
**Collection**: nlp
# Changelog
- For ub_tp_comm_overlap_cfg config field you no longer provide a path to the config but the whole config instead.
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Getting a Error while importing "import nemo.collections.asr as nemo_asr" the error states "ValueError: mutable default <class 'nemo.core.classes.mixins.adapter_mixin_strategies.ResidualAddAdapterStrategyConfig'> for field adapter_strategy is not allowed: use default_factory" Tried uninstalling ... | {
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failed docker command: RUN for f in $(ls requirements*.txt); do pip3 install --disable-pip-version-check --no-cache-dir -r $f; done
Here is the attached dockerfile I used. can you please help to review the log below and give... | {
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1. Fix bug that can affect QA (wrong file extension). 2. Other small non-critical fixes.
**Collection**: [Note which collection this PR will affect]
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} | # What does this PR do ?
The no activity timeout didn't work so changing to total duration of 8 hours. This is because timeout is including time in queue.
**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]
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} | # What does this PR do ?
Allows export of Hybrid Models with either RNNT decoder (in two parts) or with CTC decoder as single encoder-decoder module.
Usage: python scripts/export.py file.nemo file.onnx --config decoder_type=[ctc|rnnt]
**Collection**: [ASR]
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Use the following script to make a request will result in crashing in NeMo text-generation-server:
```
import json
import requests
port_num = 5555
headers = {"Content-Type": "application/json"}
def request_data(data):
resp = requests.put('http://localhost:{}/generate'.format(por... | {
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It is processing "word_hyp, word_ts_hyp = asr_decoder_ts.run_ASR(asr_model)"
on a 20-minute wav file, is but never seems to terminate.
```
@hydra_runner(config_path="conf/", config_name="diar.yaml")
def main(cfg):
logging.info(f'Hydra config: {OmegaConf.to_yaml(... | {
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} | # What does this PR do ?
Add fp16 support to RNNT Numba Loss
**Collection**: [ASR]
# Changelog
-
# Usage
## Install dependencies
[Numba](https://github.com/numba/numba) 0.57+ (conda install numba=0.57.1 -c conda-forge)
[CUDA Python](https://nvidia.github.io/cuda-python/install.html)
After that, t... | {
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Thank you for your work and all the help provided so far with other issues too.
I am training a conformer transducer model and I have a couple of questions that might help me achieve better results:
1. I am finetuning the **stt en conformer transducer medium** model (whole model) on 225h of romanian la... | {
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} | # What does this PR do ?
* Adds a new parameter to transcribe_speech.py to allow computing the alignment without timestamps (significant speed up for conf ensembles).
* Makes sure the confidence is always computed on top of the normalized logits (i.e. after softmax). Was not the case for Transducer based mode.
* R... | {
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} | # What does this PR do ?
Makes end_strings part of SamplingParams and makes it configurable.
**Collection**: Text Generation Server
# 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 code snippet demon... | {
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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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Unexpected keyword arguments: `compute_on_step`
File "/home/muizz/nemo_workspace/Neural_netw.py", line 9, in <module>
asr_model = nemo_asr.models.EncDecCTCModel.from_pretrained(model_name="QuartzNet15x5Base-En")
ValueError: Unexpected keyword arguments: `compute_on_s... | {
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} | # What does this PR do ?
Allows export of Hybrid Models with either RNNT decoder (in two parts) or with CTC decoder as single encoder-decoder module.
Usage: python scripts/export.py file.nemo file.onnx --config decoder_type=[ctc|rnnt]
**Collection**: [ASR]
# Changelog
- Add specific line by line info of ... | {
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} | # What does this PR do ?
Updates the script used to create a Megatron MPT-7B checkpoint with fixes, and adds support to MegatronBaseModel for special tokens to be passed at runtime.
**Collection**: NLP
# Changelog
- Updates the Megatron MPT-7B creation script with some bug fixes and a config file baseline
-... | {
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} | # What does this PR do ?
Remove deprecated arg compute_on_step from torchmetrics
**Collection**: [ASR, NLP]
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any ... | {
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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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