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# Changelog
- Update lower_case and batch_size arguments examples for preprocess_text.py
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SFT model parallel fix for dist ckpt
**Collection**: [Note which collection this PR will affect]
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Allow nemo docker to be built on ARM platform
**Collection**: [Note which collection this PR will affect]
# Changelog
- Modular requirements installation
- Triton installation from sdk docker whl file
# Usage
* You can potentially add a usage example below
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} | # What does this PR do ?
Adds back a `squeeze(1)` to the Aligner `get_dist()` function.
This should fix a few cells erroring out in the Aligner inference notebook.
See #7490 for more info.
**Collection**:TTS
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I'm trying to accomplish a seemingly trivial task of saving all checkpoints during training - many hours later after trying many different configurations I still can't do and I see multiple problems
**Steps/Code to reproduce bug**
Here is the relevant part of the config:
```
trainer:
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} | # What does this PR do ?
As discussed in https://github.com/NVIDIA/NeMo/issues/7495 @titu1994 helped me to make Dllogger to log on rank0 as otherwise the metrics log happens 512 times per step on 512 gpus.
Fixes: https://github.com/NVIDIA/NeMo/issues/7495
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} | # What does this PR do ?
the script called default `conf/vits.yaml` config: https://github.com/NVIDIA/NeMo/blob/main/examples/tts/conf/vits.yaml#L192, which applied `strategy=ddp` by default. When `devices=1` in this tutorial, we should specify `auto` to override `ddp`.
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} | # What does this PR do ?
SFT model parallel fix for dist ckpt
**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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mark the dp inserted example and remove it for test.
**Collection**: [NLP]
# Changelog
- Add specific line by line info of high level changes in this PR.
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* You can potentially add a usage example below
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the script called default `conf/vits.yaml` config: https://github.com/NVIDIA/NeMo/blob/main/examples/tts/conf/vits.yaml#L192, which applied `strategy=ddp` by default. When `devices=1` in this tutorial, we should specify `auto` to override `ddp`.
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**Error Brief**
```bash
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Adds back a `squeeze(1)` to the Aligner `get_dist()` function.
This should fix a few cells erroring out in the Aligner inference notebook.
See #7490 for more info.
**Collection**:TTS
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This PR added fixes for PTL2.0 related ASR bugs in r1.21.0: Val metrics logging, None dataloader issue
**Collection**:
ASR, Core
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- val_dataloader() and test_dataloader() functions in nemo/core/classes/modelPT.py updated to handle cases where dataloader is None
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} | # What does this PR do ?
Fixes a bug in checking the number of ranks before sleeping.
**Collection**: [Core]
# Before your PR is "Ready for review"
**Pre checks**:
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Fixes a bug in checking the number of ranks before sleeping.
**Collection**: [Core]
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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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} | # What does this PR do ?
The function load_from_checkpoint_dir() in `examples/nlp/language_modeling/megatron_gpt_continue_training.py` has four arguments:
```python
def load_from_checkpoint_dir(cls, cfg, trainer, modify_confg_fn):
```
But the calling side is:
```python
model = load_from_checkpoint_dir(Megatron... | {
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Add a one line overview of what this PR aims to accomplish.
Fixes https://github.com/NVIDIA/NeMo/issues/7460. Exp manager now has a sleep argument to sleep the non rank 0 ranks.
**PR Type**:
- [ ] New Feature
- [x] Bugfix
- [ ] Documentation
# Additional Information
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Add a one line overview of what this PR aims to accomplish.
Fixes https://github.com/NVIDIA/NeMo/issues/7460. Exp manager now has a sleep argument to sleep the non rank 0 ranks.
**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.
Fixes https://github.com/NVIDIA/NeMo/issues/7460. Exp manager now initializes distributed groups to force a barrier.
# Changelog
- Add specific line by line info of high level changes in this PR.
**PR Type**:
- [ ]... | {
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} | # What does this PR do ?
Fix a typo.
**Collection**: NLP
# Changelog
Fix a typo in the comment part in `nemo/collections/nlp/data/language_modeling/megatron/helpers.cpp`.
# Usage
Do not affect any usage
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Con... | {
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I currently have:
```
exp_manager.create_dllogger_logger: True
```
but I'd happy with any other way.
What I ideally would like is the original ... | {
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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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} | # What does this PR do ?
fixed default value for `trainer.accelerator` after upgading PTL 2.0.
**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
```python
#... | {
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fixed default value for `trainer.accelerator` after upgading PTL 2.0.
**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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ASR SFT related code changes.
**Collection**: [Note which collection this PR will affect]
NLM
# Changelog
At some places the flow needs to go into an if-else statement based on the task at hand - ASR or TTS.
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The TTS Aligner's `get_dist()` now has an extra dimension (from PR #6806); this PR fixes errors stemming from this in the Aligner notebook.
@rlangman -- was the change from returning a (B, C, T)-dimensional tensor to a (B, 1, C, T)-dimensional one intentional? Do we want to keep that or ... | {
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**Collection**: [Note which collection this PR will affect]
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# Usage
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Add italian tokenization
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} | # What does this PR do ?
Removes nemo_text_processing as a requirement on ARM.
Some scripts will fail on ARM due to missing nemo_text_processing
**Collection**: TTS
# Changelog
- removes nemo_text_processing as a requirement on arm machines
# Usage
N/A
**PR Type**:
- [ ] New Feature
- [x] Bugfix
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Hello, although #7192 fixed most of our errors, we are still running into some specific cases where the model still fails with the following stack trace.
I also noticed that this error only happens ... | {
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} | # What does this PR do ?
Cache FP8 weight and transpose only at the first micro-batch in each validation and test routine, which is the first micro-batch using the updated weights.
The following micro-batches within a validation or test routine, use pre-cached FP8 weight and transpose.
# Changelog
- Add speci... | {
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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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} | # What does this PR do ?
Fix error for gpt sft chat dataset.
**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 ?
As described here https://github.com/bastibe/python-soundfile/issues/274 when reading flac files there is bug in libsnd in which it sometimes warps the audio, and as a result sometimes causes an 'Internal psf_fseek() failed.' error when reading.
The only known solution is to read audio as... | {
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} | # What does this PR do ?
Disable manual GC during the validation routine. This is valid only when `gc_interval` is set larger than 0.
To disable, set `NEMO_MANUAL_GC_IN_VALIDATION=0`
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage exa... | {
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In my environment, the pinned version of setuptools is unavailable (`setuptools==65.5.1`). This is a request to unpin or update to a more recent version (latest is `setuptools==68.2.2`).
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I have been trying to run fastpitch_finetune.ipynb and from inside the nemo docker container. While the code ran bug free till inference of fastpitch model, when I am trying to run the steps given to run hifigan_finetune.py it throws an error related to config path
Primary config dir... | {
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Hi
I found that using eval_beamsearch_ngram.py to evaluate the language model (LM) could reduce the CER by how much, but I actually found that adding the LM made it worse.
I used pretrain am model=" Conformer-CTC-L-unified_char_ja-JP_6.0.nemo"
and pretrain LM model ="riva_zh_asr_set_2.1_4g... | {
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} | # What does this PR do ?
Cache FP8 weight and transpose only at the first micro-batch in each validation and test routine, which is the first micro-batch using the updated weights.
The following micro-batches within a validation or test routine, use pre-cached FP8 weight and transpose.
# Changelog
- Add speci... | {
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} | # What does this PR do ?
This PR integrates with experimental `Float8Tensor`s from the [Transformer Engine float8tensor_experiments branch](https://github.com/sudhakarsingh27/transformerengine/tree/float8tensor_experiments). This allows the model to only store FP8 weight matrices. The distributed optimizer will stor... | {
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} | # What does this PR do ?
Make audio codec losses more configurable, and add STFT and SI-SDR loss definitions.
**Collection**: [TTS]
# Changelog
- Rename encodec.yaml to encodec_24000.yaml to include sampling rate, and modify parameters to better match the original paper.
- Add audio_codec_24000.yaml where w... | {
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} | # What does this PR do ?
Disable manual GC during the validation routine. This is valid only when `gc_interval` is set larger than 0.
To disable, set `NEMO_MANUAL_GC_IN_VALIDATION=0`
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage exa... | {
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Replace assert with warning if we don't have enough token to truncate.
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- Add specific line by line info of high level changes in this PR.
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`exp_manager()` calls `check_resume()` which moves current files to a `run_x` folder ([link to code](https://github.com/NVIDIA/NeMo/blob/cfb1f449831a9a0309aab71187e3192dbd26d1a7/nemo/utils/exp_manager.py#L630))
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} | * new frame_confidence and alignments lists are now always created after the while loop
Signed-off-by: Aleksandr Laptev <alaptev@nvidia.com>
* tests added
Signed-off-by: Aleksandr Laptev <alaptev@nvidia.com>
---------
Signed-off-by: Aleksandr Laptev <alaptev@nvidia.com>
(cherry picked from commit 6012ca... | {
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When running an experiment where the model is using tensor parallelism, the `exp_manager.resume_if_exists` option fails to load the last checkpoint when resuming the experiment.
**Steps/Code to reproduce bug**
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Fix a typo.
**Collection**: NLP
# Changelog
Fix a typo in the comment part in `nemo/collections/nlp/data/language_modeling/megatron/helpers.cpp`.
# Usage
Do not affect any usage
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Con... | {
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} | null | null | null | When I change the ddp to auto, I can train, but I get a new error with the following error. What do you guys suggest please?
error executing job with overrides: []
Traceback (most recent call last):
File "/home/zhengbeida/code/NeMo-main/NeMo-main/NeMo-main/examples/slu/speech_intent_slot/run_speech_intent_slot_tra... | {
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} | null | null | null | **Describe the bug**
Hello and, first of all, thank you for your work! I have the following problem:
While training a Fastconformer Hybrid RNNT-CTC model, I perform multi-validation on several datasets at the end of each epoch. The reported results on these datasets at validation, greatly differ from the results ob... | {
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When I try to reproduce it, it comes up with the following error.Do you guys have any good suggestions, please?
Error executing job with overrides: []
self._run(model, ckpt_path=ckpt_path)
File "/home/zhengbeida/anaconda3/envs/nemo/lib/python3.10/site-packages/pytorch_lightning/trainer/trainer.py", li... | {
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But according to https://web.archive.org/web/20170119114252/http://www.itl.nist.gov/iad/mig/tests/rt/2009/docs/rt09-meeting-eval-plan-v2.pdf it should be:
```
<SOURCE><SP><CHANNEL><SP>... | {
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} | # What does this PR do?
When running the below snippet from the [document](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo/models/tts_en_tacotron2) on a machine with GPU
```python
# Load Tacotron2
from nemo.collections.tts.models import Tacotron2Model
spec_generator = Tacotron2Model.from_pretrained("tts_en_t... | {
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https://pytorch.org/hub/nvidia_deeplearningexamples_fastpitch/
I reimplemented it in my environment, but I am little confused, because the title says "Fastpitch 2". Is this the same as the Fastpitch models in the NGC catalogue (for example this: https://catalog.ngc.nvidia.com/... | {
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```bash
python <NeMo base path>/scripts/speaker_tasks/create_alignment_manifest.py \
--input_manifest_filepath <Path to train_clean_100.json manifest file> \
--base_alignment_path <Path to LibriSpeech_Alignments directory> \
--output_path train-clean-100-align.json \
--ct... | {
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} | # What does this PR do ?
I believe this PR fixes the issue of FFTransformerDecoder altering the input tensor by adding positional embeddings in-place.
**Collection**: TTS
# Changelog
- change `inp += pos_emb` to `inp = inp + pos_emb` to prevent changing the input tensor
# Before your PR is "Ready for revi... | {
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```
ValueError: You selected an invalid strategy name: `strategy=None`. It must be either a string or an instance of `pytorch_lightning.strategies.Strategy`. Example choices: auto, ddp, ddp_spawn, deepspeed, ... Find a complete list of options in o... | {
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* Prevent split, tokenize, and truncation if not exceed `max_seq_length`.
* Remove `_` if we don't have leading space before.
**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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} | # What does this PR do ?
Add dynamic position interpolation for `seq length > learned length`
Learned length is `pre-trained max_position_embeddings * seq_len_interpolation_factor`
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes ... | {
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Renames confidence `measure` back to `method` and removes warnings.
**Collection**: [Note which collection this PR will affect]
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 does this PR do ?
Conversion script for HuggingFace Falcon checkpoint (1b-rw/7b-rw/7b/40b/180b) to NeMo format
Support Falcon models in mcore.
**Collection**: NLP
# Changelog
- add conversion script
# Usage
* See docstring in the script added.
# Before your PR is "Ready for review"
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I am interested in how logit prediction changes throughout training, and I am wondering if there is any way to modify the code so that my model saves logits and targets data as a pickle file for the end of each validation step. I am aware that I can app... | {
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} | # What does this PR do?
When running `python scripts/dataset_processing/tts/ljspeech/get_data.py --data-root <your_local_dataset_root>` to get the data of LJSpeech as the [document](https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/main/tts/datasets.html#ljspeech), it reported error:
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Draft fix for #7428
**Collection**: [nlp]
# Changelog
- Fix handling of `limit_val_batches` which could lead to crashes or computing validation error on less data than intended
# Before your PR is "Ready for review"
**Pre checks**:
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There are at least two issues with how `limit_val_batches` is handled in the current master branch:
1. `trainer.limit_val_batches` is multiplied by `get_num_microbatches()` [here](https://github.com/NVIDIA/NeMo/blob/e3365ead822b4355a6391dd458d3457c441252ac/nemo/collections/nlp/models/language_m... | {
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- Fix the CustomProgressBar for cases when we are resuming training from a checkpoint. Currently when we are resuming from a checkpoint total value in `iter_num/total` of the progress bar is the number of remaining training steps instead of total training steps which leads to the progress ba... | {
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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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Minor updates to fix Megatron NMT tuning issues on the latest models.
**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 cannot use the "STT En FastConformer Hybrid Transducer-CTC Large Streaming 80ms". First of all, the NGC catalog instructions don't work. But more importantly, there is a shape mismatch error "size mismatch for encoder.pre_encode.out.weight: copying a param with shape torch.Size([512, 2816]) fr... | {
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} | # What does this PR do ?
Conversion script for HuggingFace StarCoder checkpoint to NeMo format.
**Collection**: NLP
# Changelog
- Add conversion script
- Update Jenkinsfile
# Usage
See docstring in the script added.
# Before your PR is "Ready for review"
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The implementation of Global Style Tokens (GSTs) in FastPitch introduced in #6417 does not follow the prescription of the original [paper](https://arxiv.org/abs/1803.09017). In particular, the difference lies in the choice of the reference audio for a given training/validation sample `<text, gro... | {
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} | # What does this PR do ?
Conversion script for HuggingFace StarCoder checkpoint to NeMo format.
**Collection**: NLP
# Changelog
- Add conversion script
- Update Jenkinsfile
# Usage
See docstring in the script added.
# Before your PR is "Ready for review"
**Pre checks**:
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Check NEMO_PATH
# Usage
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Check NEMO_PATH and exit with alert if it does not exist
**PR Type**:
- [V] New Feature
# Additional Information
* Related to #7320
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enables layer selection for ia3.
**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 updates the conversion script to work with dist ckpt for GPT.
**Collection**: NLP
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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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