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cicd-main.yml
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# Copyright (c) 2020-2021, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
name: "CICD NeMo"
on:
pull_request:
branches: [ "main" ]
jobs:
gpu-test:
runs-on: self-hosted-azure
steps:
- name: Run nvidia-smi test
run: |
whoami
nvidia-smi
cicd-cluster-clean:
runs-on: self-hosted-azure
steps:
- name: Clean server from old files
run: |
docker container prune --filter "until=24h" --force
docker image prune -a --filter "until=24h" --force
# checkout-repository:
# runs-on: self-hosted-azure
# container:
# image: nvcr.io/nvidia/pytorch:24.01-py3
# volumes:
# - ${{ github.workspace }}:/workspace
# steps:
# - name: Checkout repository
# uses: actions/checkout@v2
# with:
# path: ${{ github.run_id }}
cicd-test-container-setup:
needs: [cicd-cluster-clean]
runs-on: self-hosted-azure
# uses: actions/cache@v2
#container:
# image: nvcr.io/nvidia/pytorch:24.01-py3
# options:
# # --user 0:128
# --device=/dev/nvidia0
# --gpus all
# --shm-size=8g
# --env TRANSFORMERS_OFFLINE=0
# --env HYDRA_FULL_ERROR=1
steps:
- name: Log into ACR (Azure Container Registry) # this login is for the pushing step after
uses: azure/docker-login@v1
with:
login-server: nemoci.azurecr.io
username: nemoci
password: ${{ secrets.ACR_PASSWORD }}
- name: Checkout repository
uses: actions/checkout@v2
with:
path: ${{ github.run_id }}
- name: Container setup
run: |
# Pull base PyTorch container
docker pull nvcr.io/nvidia/pytorch:24.01-py3
docker run --device=/dev/nvidia0 --gpus all --shm-size=8g --env TRANSFORMERS_OFFLINE=0 --env HYDRA_FULL_ERROR=1 --volume ${{ github.workspace }}/${{ github.run_id }}:/workspace --volume /datadrive/TestData:/home/TestData nvcr.io/nvidia/pytorch:24.01-py3 /bin/bash -c '
set -x
# PyTorch version
python -c "import torch; print(torch.__version__)"
python -c "import torchvision; print(torchvision.__version__)"
# Install test requirements
apt-get update && apt-get install -y bc && pip install -r requirements/requirements_test.txt && pip install -r requirements/requirements_lightning.txt
# Code formatting checks
python setup.py style
# Copyright Headers check
python tests/check_copyright_header.py --dir .
# NeMo Installation
./reinstall.sh release
# Transformer Engine 1.2.0
# Transformer Engine installation
git clone https://github.com/NVIDIA/TransformerEngine.git && \
pushd TransformerEngine && \
git fetch origin 9b2fed514ea419141146f843ab2c84b22b86bfd7 && \
git checkout FETCH_HEAD && \
git submodule init && git submodule update && \
NVTE_FRAMEWORK=pytorch NVTE_WITH_USERBUFFERS=1 MPI_HOME=/usr/local/mpi pip install . && \
popd
# Apex bugfix for PyTorch 23.11 container: https://github.com/NVIDIA/apex/pull/1760
# Apex installation
git clone https://github.com/NVIDIA/apex.git && \
pushd apex && \
git checkout b496d85fb88a801d8e680872a12822de310951fd && \
cp -R apex /usr/local/lib/python3.10/dist-packages && \
popd
# pip package should be working with main, if not we can update the commit here
# until the pip package is updated
# Megatron Core installation
git clone https://github.com/NVIDIA/Megatron-LM.git && \
pushd Megatron-LM && \
git checkout 43792028f003ed25a3ee8c5a0d4cad82317d81b5 && \
pip install . && \
pushd megatron/core/datasets && \
make && \
popd && \
popd
# Install only for test: L2: Segmentation Tool
pushd tools/ctc_segmentation && \
pip install -r requirements.txt && \
apt-get update && apt-get install libsox-fmt-all -y && \
popd
# PyTorch Lightning version
python -c "import pytorch_lightning; print(pytorch_lightning.__version__)"
# PyTorch Lightning DDP Checks
CUDA_VISIBLE_DEVICES="0,1" python "tests/core_ptl/check_for_ranks.py"
# Basic Import Checks
python -c "import nemo.collections.asr as nemo_asr"
python -c "import nemo.collections.nlp as nemo_nlp"
python -c "import nemo.collections.tts as nemo_tts"
# set permission
chmod 777 -R /workspace
'
### \'\'
- name: Push container to registry for future use
run: |
# Push container
echo "Docker: List containers" && docker ps -a
DOCKER_COMMIT=$(docker ps --latest --quiet) # latest container
docker commit $DOCKER_COMMIT nemoci.azurecr.io/nemo_container_${{ github.run_id }}
docker tag nemoci.azurecr.io/nemo_container_${{ github.run_id }} nemoci.azurecr.io/nemo_container_${{ github.run_id }}
docker push nemoci.azurecr.io/nemo_container_${{ github.run_id }}
# - name: Build and push to local registry
# uses: docker/build-push-action@v5
# with:
# context: .
# push: true
# tags: nemoci.azurecr.io/name/app:latest
# - name: Inspect
# run: |
# docker buildx imagetools inspect nemoci.azurecr.io/name/app:latest
#- name: Post-workflow execution
# uses: gacts/run-and-post-run@v1
# with:
# post: |
# chmod -R 777 .
L0_Unit_Tests_GPU:
needs: [cicd-test-container-setup]
runs-on: self-hosted-azure
container:
credentials:
username: nemoci
password: ${{ secrets.ACR_PASSWORD }}
image: nemoci.azurecr.io/nemo_container_${{ github.run_id }}
options:
# --user 0:128
--device=/dev/nvidia0
--gpus all
--shm-size=8g
--env TRANSFORMERS_OFFLINE=0
--env HYDRA_FULL_ERROR=1
--volume /datadrive/TestData:/home/TestData
steps:
- name: Checkout repository
uses: actions/checkout@v2
- name: "L0: Unit Tests GPU"
run: |
NEMO_NUMBA_MINVER=0.53 pytest -m "not pleasefixme" --with_downloads
- uses: "NVIDIA/NeMo/.github/actions/cancel-workflow@main"
if: "failure()"
L0_Unit_Tests_CPU:
needs: [cicd-test-container-setup]
runs-on: self-hosted-azure
container:
credentials:
username: nemoci
password: ${{ secrets.ACR_PASSWORD }}
image: nemoci.azurecr.io/nemo_container_${{ github.run_id }}
options:
# --user 0:128
--device=/dev/nvidia0
--gpus all
--shm-size=8g
--env TRANSFORMERS_OFFLINE=0
--env HYDRA_FULL_ERROR=1
--volume /datadrive/TestData:/home/TestData
steps:
- name: Checkout repository
uses: actions/checkout@v2
- name: "L0: Unit Tests CPU"
run: |
CUDA_VISIBLE_DEVICES="" NEMO_NUMBA_MINVER=0.53 pytest -m "not pleasefixme" --cpu --with_downloads --relax_numba_compat
- uses: "NVIDIA/NeMo/.github/actions/cancel-workflow@main"
if: "failure()"
## - name: L2: Multimodal Imagen Train
# L2: Community LLM Checkpoints tests
L2_Community_LLM_Checkpoints_tests_Llama:
needs: [cicd-test-container-setup]
runs-on: self-hosted-azure
container:
credentials:
username: nemoci
password: ${{ secrets.ACR_PASSWORD }}
image: nemoci.azurecr.io/nemo_container_${{ github.run_id }}
options:
# --user 0:128
--device=/dev/nvidia0
--gpus all
--shm-size=8g
--env TRANSFORMERS_OFFLINE=0
--env HYDRA_FULL_ERROR=1
--volume /datadrive/TestData:/home/TestData
steps:
- name: Checkout repository
uses: actions/checkout@v2
- run: |
CUDA_VISIBLE_DEVICES=0 python scripts/checkpoint_converters/convert_llama_hf_to_nemo.py \
--input_name_or_path=/home/TestData/nlp/megatron_llama/llama-ci-hf \
--output_path=/home/TestData/nlp/megatron_llama/llama-ci-hf/llama_ci.nemo \
--precision=16
rm -f /home/TestData/nlp/megatron_llama/llama-ci-hf/llama_ci.nemo
- uses: "NVIDIA/NeMo/.github/actions/cancel-workflow@main"
if: "failure()"
L2_Community_LLM_Checkpoints_tests_StarCoder:
needs: [cicd-test-container-setup]
runs-on: self-hosted-azure
container:
credentials:
username: nemoci
password: ${{ secrets.ACR_PASSWORD }}
image: nemoci.azurecr.io/nemo_container_${{ github.run_id }}
options:
# --user 0:128
--device=/dev/nvidia0
--gpus all
--shm-size=8g
--env TRANSFORMERS_OFFLINE=0
--env HYDRA_FULL_ERROR=1
--volume /datadrive/TestData:/home/TestData
steps:
- name: Checkout repository
uses: actions/checkout@v2
- run: |
python scripts/checkpoint_converters/convert_starcoder_hf_to_nemo.py \
--input_name_or_path /home/TestData/nlp/megatron_gpt/starcoder-ci-hf \
--output_path /home/TestData/nlp/megatron_gpt/starcoder-ci-hf
rm -f /home/TestData/nlp/megatron_gpt/starcoder-ci-hf/megatron_starcoder_tp1_pp1.nemo
- uses: "NVIDIA/NeMo/.github/actions/cancel-workflow@main"
if: "failure()"
L2_Community_LLM_Checkpoints_tests_Falcon:
needs: [cicd-test-container-setup]
runs-on: self-hosted-azure
container:
credentials:
username: nemoci
password: ${{ secrets.ACR_PASSWORD }}
image: nemoci.azurecr.io/nemo_container_${{ github.run_id }}
options:
# --user 0:128
--device=/dev/nvidia0
--gpus all
--shm-size=8g
--env TRANSFORMERS_OFFLINE=0
--env HYDRA_FULL_ERROR=1
--volume /datadrive/TestData:/home/TestData
steps:
- name: Checkout repository
uses: actions/checkout@v2
- run: |
python scripts/checkpoint_converters/convert_falcon_hf_to_nemo.py \
--input_name_or_path /home/TestData/nlp/megatron_gpt/falcon-ci-hf \
--output_path /home/TestData/nlp/megatron_gpt/falcon-ci-hf/falcon_ci.nemo
rm -f /home/TestData/nlp/megatron_gpt/falcon-ci-hf/falcon_ci.nemo
- uses: "NVIDIA/NeMo/.github/actions/cancel-workflow@main"
if: "failure()"
L2_Community_LLM_Checkpoints_tests_Baichuan2:
needs: [cicd-test-container-setup]
runs-on: self-hosted-azure
container:
credentials:
username: nemoci
password: ${{ secrets.ACR_PASSWORD }}
image: nemoci.azurecr.io/nemo_container_${{ github.run_id }}
options:
# --user 0:128
--device=/dev/nvidia0
--gpus all
--shm-size=8g
--env TRANSFORMERS_OFFLINE=0
--env HYDRA_FULL_ERROR=1
--volume /datadrive/TestData:/home/TestData
steps:
- name: Checkout repository
uses: actions/checkout@v2
- run: |
python scripts/checkpoint_converters/convert_baichuan2_hf_to_nemo.py \
--input_name_or_path=/home/TestData/nlp/megatron_gpt/Baichuan2-7B-Base \
--output_path=/home/TestData/nlp/megatron_gpt/Baichuan2-7B-Base/ci.nemo
rm -f /home/TestData/nlp/megatron_gpt/Baichuan2-7B-Base/ci.nemo
- uses: "NVIDIA/NeMo/.github/actions/cancel-workflow@main"
if: "failure()"
# L2: ASR dev run
ASR_dev_run_Speech_to_Text:
needs: [cicd-test-container-setup]
runs-on: self-hosted-azure
container:
credentials:
username: nemoci
password: ${{ secrets.ACR_PASSWORD }}
image: nemoci.azurecr.io/nemo_container_${{ github.run_id }}
options:
# --user 0:128
--device=/dev/nvidia0
--gpus all
--shm-size=8g
--env TRANSFORMERS_OFFLINE=0
--env HYDRA_FULL_ERROR=1
--volume /datadrive/TestData:/home/TestData
steps:
- name: Checkout repository
uses: actions/checkout@v2
- run: |
python examples/asr/asr_ctc/speech_to_text_ctc.py \
model.train_ds.manifest_filepath=/home/TestData/an4_dataset/an4_train.json \
model.validation_ds.manifest_filepath=/home/TestData/an4_dataset/an4_val.json \
trainer.devices=[0] \
trainer.accelerator="gpu" \
+trainer.fast_dev_run=True \
exp_manager.exp_dir=examples/asr/speech_to_text_results
rm -rf examples/asr/speech_to_text_results
- uses: "NVIDIA/NeMo/.github/actions/cancel-workflow@main"
if: "failure()"
ASR_dev_run_Speech_to_Text_WPE_-_CitriNet:
needs: [cicd-test-container-setup]
runs-on: self-hosted-azure
container:
credentials:
username: nemoci
password: ${{ secrets.ACR_PASSWORD }}
image: nemoci.azurecr.io/nemo_container_${{ github.run_id }}
options:
# --user 0:128
--device=/dev/nvidia0
--gpus all
--shm-size=8g
--env TRANSFORMERS_OFFLINE=0
--env HYDRA_FULL_ERROR=1
--volume /datadrive/TestData:/home/TestData
steps:
- name: Checkout repository
uses: actions/checkout@v2
- run: |
python examples/asr/asr_ctc/speech_to_text_ctc_bpe.py \
--config-path="../conf/citrinet/" --config-name="config_bpe" \
model.train_ds.manifest_filepath=/home/TestData/an4_dataset/an4_train.json \
model.validation_ds.manifest_filepath=/home/TestData/an4_dataset/an4_val.json \
model.tokenizer.dir="/home/TestData/asr_tokenizers/an4_wpe_128/" \
model.tokenizer.type="wpe" \
trainer.devices=[1] \
trainer.accelerator="gpu" \
+trainer.fast_dev_run=True \
exp_manager.exp_dir=examples/asr/speech_to_text_wpe_results
rm -rf examples/asr/speech_to_text_wpe_results
- uses: "NVIDIA/NeMo/.github/actions/cancel-workflow@main"
if: "failure()"
ASR_dev_run_Speech_Pre-training_-_CitriNet:
needs: [cicd-test-container-setup]
runs-on: self-hosted-azure
container:
credentials:
username: nemoci
password: ${{ secrets.ACR_PASSWORD }}
image: nemoci.azurecr.io/nemo_container_${{ github.run_id }}
options:
# --user 0:128
--device=/dev/nvidia0
--gpus all
--shm-size=8g
--env TRANSFORMERS_OFFLINE=0
--env HYDRA_FULL_ERROR=1
--volume /datadrive/TestData:/home/TestData
steps:
- name: Checkout repository
uses: actions/checkout@v2
- run: |
python examples/asr/speech_pretraining/speech_pre_training.py \
--config-path="../conf/ssl/citrinet/" --config-name="citrinet_ssl_ci" \
model.train_ds.manifest_filepath=/home/TestData/an4_dataset/an4_train.json \
model.validation_ds.manifest_filepath=/home/TestData/an4_dataset/an4_val.json \
trainer.devices=[1] \
trainer.accelerator="gpu" \
+trainer.fast_dev_run=True \
exp_manager.exp_dir=examples/asr/speech_pre_training_results
rm -rf examples/asr/speech_pre_training_results
- uses: "NVIDIA/NeMo/.github/actions/cancel-workflow@main"
if: "failure()"
ASR_dev_run_Speech_To_Text_Finetuning:
needs: [cicd-test-container-setup]
runs-on: self-hosted-azure
container:
credentials:
username: nemoci
password: ${{ secrets.ACR_PASSWORD }}
image: nemoci.azurecr.io/nemo_container_${{ github.run_id }}
options:
# --user 0:128
--device=/dev/nvidia0
--gpus all
--shm-size=8g
--env TRANSFORMERS_OFFLINE=0
--env HYDRA_FULL_ERROR=1
--volume /datadrive/TestData:/home/TestData
steps:
- name: Checkout repository
uses: actions/checkout@v2
- run: |
python examples/asr/speech_to_text_finetune.py \
--config-path="conf/asr_finetune" --config-name="speech_to_text_finetune" \
model.train_ds.manifest_filepath=/home/TestData/an4_dataset/an4_train.json \
model.validation_ds.manifest_filepath=/home/TestData/an4_dataset/an4_val.json \
init_from_nemo_model=/home/TestData/asr/stt_en_fastconformer_transducer_large.nemo \
model.tokenizer.update_tokenizer=False \
trainer.devices=[1] \
trainer.accelerator="gpu" \
+trainer.fast_dev_run=True \
exp_manager.exp_dir=examples/asr/speech_finetuning_results
rm -rf examples/asr/speech_finetuning_results
- uses: "NVIDIA/NeMo/.github/actions/cancel-workflow@main"
if: "failure()"
ASR_dev_run_Speech_To_Text_HF_Finetuning:
needs: [cicd-test-container-setup]
runs-on: self-hosted-azure
container:
credentials:
username: nemoci
password: ${{ secrets.ACR_PASSWORD }}
image: nemoci.azurecr.io/nemo_container_${{ github.run_id }}
options:
# --user 0:128
--device=/dev/nvidia0
--gpus all
--shm-size=8g
--env TRANSFORMERS_OFFLINE=0
--env HYDRA_FULL_ERROR=1
--volume /datadrive/TestData:/home/TestData
steps:
- name: Checkout repository
uses: actions/checkout@v2
- run: |
python examples/asr/speech_to_text_finetune.py \
--config-path="conf/asr_finetune" --config-name="speech_to_text_hf_finetune" \
~model.train_ds.hf_data_cfg \
model.train_ds.num_workers=1 \
model.train_ds.batch_size=2 model.validation_ds.batch_size=2 \
model.train_ds.streaming=true \
+model.train_ds.hf_data_cfg.path="librispeech_asr" \
+model.train_ds.hf_data_cfg.name=null \
+model.train_ds.hf_data_cfg.split="test.clean" \
+model.train_ds.hf_data_cfg.streaming=true \
~model.validation_ds.hf_data_cfg \
model.validation_ds.streaming=true \
+model.validation_ds.hf_data_cfg.path="librispeech_asr" \
+model.validation_ds.hf_data_cfg.name=null \
+model.validation_ds.hf_data_cfg.split="test.clean" \
+model.validation_ds.hf_data_cfg.streaming=true \
~model.test_ds \
init_from_nemo_model=/home/TestData/asr/stt_en_fastconformer_transducer_large.nemo \
model.tokenizer.update_tokenizer=False \
model.optim.sched.warmup_steps=0 \
+model.optim.sched.max_steps=3 \
trainer.max_epochs=null \
trainer.devices=[1] \
trainer.accelerator="gpu" \
+trainer.fast_dev_run=True \
exp_manager.exp_dir=examples/asr/speech_finetuning_results
rm -rf examples/asr/speech_finetuning_results
- uses: "NVIDIA/NeMo/.github/actions/cancel-workflow@main"
if: "failure()"
ASR_dev_run_Speech_to_Text_WPE_-_Conformer:
needs: [cicd-test-container-setup]
runs-on: self-hosted-azure
container:
credentials:
username: nemoci
password: ${{ secrets.ACR_PASSWORD }}
image: nemoci.azurecr.io/nemo_container_${{ github.run_id }}
options:
# --user 0:128
--device=/dev/nvidia0
--gpus all
--shm-size=8g
--env TRANSFORMERS_OFFLINE=0
--env HYDRA_FULL_ERROR=1
--volume /datadrive/TestData:/home/TestData
steps:
- name: Checkout repository
uses: actions/checkout@v2
- run: |
python examples/asr/asr_ctc/speech_to_text_ctc_bpe.py \
--config-path="../conf/conformer" --config-name="conformer_ctc_bpe" \
model.train_ds.manifest_filepath=/home/TestData/an4_dataset/an4_train.json \
model.validation_ds.manifest_filepath=/home/TestData/an4_dataset/an4_val.json \
model.tokenizer.dir="/home/TestData/asr_tokenizers/an4_wpe_128/" \
model.tokenizer.type="wpe" \
model.train_ds.batch_size=4 \
model.validation_ds.batch_size=4 \
trainer.devices=[1] \
trainer.accelerator="gpu" \
+trainer.fast_dev_run=True \
exp_manager.exp_dir=examples/asr/speech_to_text_wpe_conformer_results
rm -rf examples/asr/speech_to_text_wpe_conformer_results
- uses: "NVIDIA/NeMo/.github/actions/cancel-workflow@main"
if: "failure()"
# L2: ASR dev run - part two
ASR_dev_run-part_two_Speech_to_Text_WPE_-_Squeezeformer:
needs: [cicd-test-container-setup]
runs-on: self-hosted-azure
container:
credentials:
username: nemoci
password: ${{ secrets.ACR_PASSWORD }}
image: nemoci.azurecr.io/nemo_container_${{ github.run_id }}
options:
# --user 0:128
--device=/dev/nvidia0
--gpus all
--shm-size=8g
--env TRANSFORMERS_OFFLINE=0
--env HYDRA_FULL_ERROR=1
--volume /datadrive/TestData:/home/TestData
steps:
- name: Checkout repository
uses: actions/checkout@v2
- run: |
python examples/asr/asr_ctc/speech_to_text_ctc_bpe.py \
--config-path="../conf/squeezeformer" --config-name="squeezeformer_ctc_bpe" \
model.train_ds.manifest_filepath=/home/TestData/an4_dataset/an4_train.json \
model.validation_ds.manifest_filepath=/home/TestData/an4_dataset/an4_val.json \
model.tokenizer.dir="/home/TestData/asr_tokenizers/an4_wpe_128/" \
model.tokenizer.type="wpe" \
model.encoder.d_model=144 \
model.train_ds.batch_size=4 \
model.validation_ds.batch_size=4 \
trainer.devices=[0] \
trainer.accelerator="gpu" \
+trainer.fast_dev_run=True \
exp_manager.exp_dir=examples/asr/speech_to_text_wpe_squeezeformer_results
rm -rf examples/asr/speech_to_text_wpe_squeezeformer_results
- uses: "NVIDIA/NeMo/.github/actions/cancel-workflow@main"
if: "failure()"
L2_Speech_to_Text_EMA:
needs: [cicd-test-container-setup]
runs-on: self-hosted-azure
container:
credentials:
username: nemoci
password: ${{ secrets.ACR_PASSWORD }}
image: nemoci.azurecr.io/nemo_container_${{ github.run_id }}
options:
# --user 0:128
--device=/dev/nvidia0
--gpus all
--shm-size=8g
--env TRANSFORMERS_OFFLINE=0
--env HYDRA_FULL_ERROR=1
--volume /datadrive/TestData:/home/TestData
steps:
- name: Checkout repository
uses: actions/checkout@v2
- run: |
python examples/asr/asr_ctc/speech_to_text_ctc.py \
model.train_ds.manifest_filepath=/home/TestData/an4_dataset/an4_train.json \
model.validation_ds.manifest_filepath=/home/TestData/an4_dataset/an4_val.json \
trainer.devices=2 \
trainer.accelerator="gpu" \
+trainer.fast_dev_run=True \
+exp_manager.ema.enable=True \
exp_manager.exp_dir=examples/asr/speech_to_text_results
rm -rf examples/asr/speech_to_text_results
- uses: "NVIDIA/NeMo/.github/actions/cancel-workflow@main"
if: "failure()"
# L2_Speech_to_Text_AED:
# needs: [cicd-test-container-setup]
# runs-on: self-hosted-azure
# container:
# image: nemoci.azurecr.io/nemo_container_${{ github.run_id }}
# options:
# # --user 0:128
# --device=/dev/nvidia0
# --gpus all
# --shm-size=8g
# --env TRANSFORMERS_OFFLINE=0
# --env HYDRA_FULL_ERROR=1
# --volume /datadrive/TestData:/home/TestData
# steps:
# - name: Checkout repository
# uses: actions/checkout@v2
# - run: |
# python examples/asr/speech_multitask/speech_to_text_aed.py \
# model.prompt_format=canary \
# model.model_defaults.asr_enc_hidden=256 \
# model.model_defaults.lm_dec_hidden=256 \
# model.encoder.n_layers=12 \
# model.transf_encoder.num_layers=0 \
# model.transf_decoder.config_dict.num_layers=12 \
# model.train_ds.manifest_filepath=/home/TestData/asr/manifests/canary/an4_canary_train.json \
# ++model.train_ds.is_tarred=false \
# model.train_ds.batch_duration=60 \
# +model.train_ds.text_field="answer" \
# +model.train_ds.lang_field="target_lang" \
# model.validation_ds.manifest_filepath=/home/TestData/asr/manifests/canary/an4_canary_val.json \
# +model.validation_ds.text_field="answer" \
# +model.validation_ds.lang_field="target_lang" \
# model.test_ds.manifest_filepath=/home/TestData/asr/manifests/canary/an4_canary_val.json \
# +model.test_ds.text_field="answer" \
# +model.test_ds.lang_field="target_lang" \
# model.tokenizer.langs.spl_tokens.dir=/home/TestData/asr_tokenizers/canary/canary_spl_tokenizer_v32 \
# model.tokenizer.langs.spl_tokens.type="bpe" \
# model.tokenizer.langs.en.dir=/home/TestData/asr_tokenizers/canary/en/tokenizer_spe_bpe_v1024_max_4 \
# model.tokenizer.langs.en.type=bpe \
# ++model.tokenizer.langs.es.dir=/home/TestData/asr_tokenizers/canary/es/tokenizer_spe_bpe_v1024_max_4 \
# ++model.tokenizer.langs.es.type=bpe \
# trainer.devices=[0] \
# trainer.accelerator="gpu" \
# +trainer.use_distributed_sampler=false \
# +trainer.fast_dev_run=True \
# exp_manager.exp_dir=examples/asr/speech_to_text_aed_results
# rm -rf examples/asr/speech_to_text_results
# L2: Speaker dev run
L2_Speaker_dev_run_Speaker_Recognition:
needs: [cicd-test-container-setup]
runs-on: self-hosted-azure
container:
credentials:
username: nemoci
password: ${{ secrets.ACR_PASSWORD }}
image: nemoci.azurecr.io/nemo_container_${{ github.run_id }}
options:
# --user 0:128
--device=/dev/nvidia0
--gpus all
--shm-size=8g
--env TRANSFORMERS_OFFLINE=0
--env HYDRA_FULL_ERROR=1
--volume /datadrive/TestData:/home/TestData
steps:
- name: Checkout repository
uses: actions/checkout@v2
- run: |
python examples/speaker_tasks/recognition/speaker_reco.py \
model.train_ds.batch_size=10 \
model.validation_ds.batch_size=2 \
model.train_ds.manifest_filepath=/home/TestData/an4_speaker/train.json \
model.validation_ds.manifest_filepath=/home/TestData/an4_speaker/dev.json \
model.decoder.num_classes=2 \
trainer.max_epochs=10 \
trainer.devices=[1] \
trainer.accelerator="gpu" \
+trainer.fast_dev_run=True \
exp_manager.exp_dir=examples/speaker_tasks/recognition/speaker_recognition_results
rm -rf examples/speaker_tasks/recognition/speaker_recognition_results
- uses: "NVIDIA/NeMo/.github/actions/cancel-workflow@main"
if: "failure()"
L2_Speaker_dev_run_Speaker_Diarization:
needs: [cicd-test-container-setup]
runs-on: self-hosted-azure
container:
credentials:
username: nemoci
password: ${{ secrets.ACR_PASSWORD }}
image: nemoci.azurecr.io/nemo_container_${{ github.run_id }}
options:
# --user 0:128
--device=/dev/nvidia0
--gpus all
--shm-size=8g
--env TRANSFORMERS_OFFLINE=0
--env HYDRA_FULL_ERROR=1
--volume /datadrive/TestData:/home/TestData
steps:
- name: Checkout repository
uses: actions/checkout@v2
- run: |
python examples/speaker_tasks/diarization/neural_diarizer/multiscale_diar_decoder.py \
model.diarizer.speaker_embeddings.model_path=titanet_large \
model.train_ds.batch_size=5 \
model.validation_ds.batch_size=5 \
model.train_ds.emb_dir=examples/speaker_tasks/diarization/speaker_diarization_results \
model.validation_ds.emb_dir=examples/speaker_tasks/diarization/speaker_diarization_results \
model.train_ds.manifest_filepath=/home/TestData/an4_diarizer/simulated_train/msdd_data.50step.json \
model.validation_ds.manifest_filepath=/home/TestData/an4_diarizer/simulated_valid/msdd_data.50step.json \
trainer.devices=[1] \
trainer.accelerator="gpu" \
+trainer.fast_dev_run=True \
exp_manager.exp_dir=examples/speaker_tasks/diarization/speaker_diarization_results
rm -rf examples/speaker_tasks/diarization/speaker_diarization_results
- uses: "NVIDIA/NeMo/.github/actions/cancel-workflow@main"
if: "failure()"
L2_Speaker_dev_run_Speech_to_Label:
needs: [cicd-test-container-setup]
runs-on: self-hosted-azure
container:
credentials:
username: nemoci
password: ${{ secrets.ACR_PASSWORD }}
image: nemoci.azurecr.io/nemo_container_${{ github.run_id }}
options:
# --user 0:128
--device=/dev/nvidia0
--gpus all
--shm-size=8g
--env TRANSFORMERS_OFFLINE=0
--env HYDRA_FULL_ERROR=1
--volume /datadrive/TestData:/home/TestData
steps:
- name: Checkout repository
uses: actions/checkout@v2
- run: |
python examples/asr/speech_classification/speech_to_label.py \
model.train_ds.manifest_filepath=/home/TestData/speech_commands/train_manifest.json \
model.validation_ds.manifest_filepath=/home/TestData/speech_commands/test_manifest.json \
model.test_ds.manifest_filepath=/home/TestData/speech_commands/test_manifest.json \
trainer.devices=[1] \
trainer.accelerator="gpu" \
+trainer.fast_dev_run=True \
model.preprocessor._target_=nemo.collections.asr.modules.AudioToMelSpectrogramPreprocessor \
~model.preprocessor.window_size \
~model.preprocessor.window_stride \
~model.preprocessor.window \
~model.preprocessor.n_mels \
~model.preprocessor.n_mfcc \
~model.preprocessor.n_fft \
exp_manager.exp_dir=examples/asr/speech_to_label_results
rm -rf examples/asr/speech_to_label_results
- uses: "NVIDIA/NeMo/.github/actions/cancel-workflow@main"
if: "failure()"
L2_Speaker_dev_run_Speaker_Diarization_with_ASR_Inference:
needs: [cicd-test-container-setup]
runs-on: self-hosted-azure
container:
credentials:
username: nemoci
password: ${{ secrets.ACR_PASSWORD }}
image: nemoci.azurecr.io/nemo_container_${{ github.run_id }}
options:
# --user 0:128
--device=/dev/nvidia0
--gpus all
--shm-size=8g
--env TRANSFORMERS_OFFLINE=0
--env HYDRA_FULL_ERROR=1
--volume /datadrive/TestData:/home/TestData
steps:
- name: Checkout repository
uses: actions/checkout@v2
- run: |
python examples/speaker_tasks/diarization/clustering_diarizer/offline_diar_with_asr_infer.py \
diarizer.manifest_filepath=/home/TestData/an4_diarizer/an4_manifest.json \
diarizer.speaker_embeddings.model_path=/home/TestData/an4_diarizer/spkr.nemo \
diarizer.speaker_embeddings.parameters.save_embeddings=True \
diarizer.speaker_embeddings.parameters.window_length_in_sec=[1.5] \
diarizer.speaker_embeddings.parameters.shift_length_in_sec=[0.75] \
diarizer.speaker_embeddings.parameters.multiscale_weights=[1.0] \
diarizer.asr.model_path=QuartzNet15x5Base-En \
diarizer.asr.parameters.asr_based_vad=True \
diarizer.out_dir=examples/speaker_tasks/diarization/speaker_diarization_asr_results
rm -rf examples/speaker_tasks/diarization/speaker_diarization_asr_results
- uses: "NVIDIA/NeMo/.github/actions/cancel-workflow@main"
if: "failure()"
L2_Speaker_dev_run_Clustering_Diarizer_Inference:
needs: [cicd-test-container-setup]
runs-on: self-hosted-azure
container:
credentials:
username: nemoci
password: ${{ secrets.ACR_PASSWORD }}
image: nemoci.azurecr.io/nemo_container_${{ github.run_id }}
options:
# --user 0:128
--device=/dev/nvidia0
--gpus all
--shm-size=8g
--env TRANSFORMERS_OFFLINE=0
--env HYDRA_FULL_ERROR=1
--volume /datadrive/TestData:/home/TestData
steps:
- name: Checkout repository
uses: actions/checkout@v2
- run: |
python examples/speaker_tasks/diarization/clustering_diarizer/offline_diar_infer.py \
diarizer.manifest_filepath=/home/TestData/an4_diarizer/an4_manifest.json \
diarizer.speaker_embeddings.model_path=/home/TestData/an4_diarizer/spkr.nemo \
diarizer.speaker_embeddings.parameters.save_embeddings=True \
diarizer.speaker_embeddings.parameters.window_length_in_sec=1.5 \
diarizer.speaker_embeddings.parameters.shift_length_in_sec=0.75 \
diarizer.speaker_embeddings.parameters.multiscale_weights=null \
diarizer.vad.model_path=/home/TestData/an4_diarizer/MatchboxNet_VAD_3x2.nemo \
diarizer.out_dir=examples/speaker_tasks/diarization/clustering_diarizer_results
rm -rf examples/speaker_tasks/diarization/clustering_diarizer_results
- uses: "NVIDIA/NeMo/.github/actions/cancel-workflow@main"
if: "failure()"
L2_Speaker_dev_run_Neural_Diarizer_Inference:
needs: [cicd-test-container-setup]
runs-on: self-hosted-azure
container:
credentials:
username: nemoci
password: ${{ secrets.ACR_PASSWORD }}
image: nemoci.azurecr.io/nemo_container_${{ github.run_id }}
options:
# --user 0:128
--device=/dev/nvidia0
--gpus all
--shm-size=8g
--env TRANSFORMERS_OFFLINE=0
--env HYDRA_FULL_ERROR=1
--volume /datadrive/TestData:/home/TestData
steps:
- name: Checkout repository
uses: actions/checkout@v2
- run: |
python examples/speaker_tasks/diarization/neural_diarizer/multiscale_diar_decoder_infer.py \
diarizer.manifest_filepath=/home/TestData/an4_diarizer/an4_manifest.json \
diarizer.msdd_model.model_path=/home/TestData/an4_diarizer/diar_msdd_telephonic.nemo \
diarizer.speaker_embeddings.parameters.save_embeddings=True \
diarizer.vad.model_path=/home/TestData/an4_diarizer/MatchboxNet_VAD_3x2.nemo \
diarizer.out_dir=examples/speaker_tasks/diarization/neural_diarizer_results
rm -rf examples/speaker_tasks/diarization/neural_diarizer_results
- uses: "NVIDIA/NeMo/.github/actions/cancel-workflow@main"
if: "failure()"
L2_Speaker_dev_run_Multispeaker_ASR_Data_Simulation:
needs: [cicd-test-container-setup]
runs-on: self-hosted-azure
container:
credentials:
username: nemoci
password: ${{ secrets.ACR_PASSWORD }}
image: nemoci.azurecr.io/nemo_container_${{ github.run_id }}
options:
# --user 0:128
--device=/dev/nvidia0
--gpus all
--shm-size=8g
--env TRANSFORMERS_OFFLINE=0
--env HYDRA_FULL_ERROR=1
--volume /datadrive/TestData:/home/TestData
steps:
- name: Checkout repository
uses: actions/checkout@v2
- run: |
python tools/speech_data_simulator/multispeaker_simulator.py \
--config-path=conf --config-name=data_simulator.yaml \
data_simulator.random_seed=42 \
data_simulator.manifest_filepath=/home/TestData/LibriSpeechShort/dev-clean-align-short.json \
data_simulator.outputs.output_dir=./test_simulator \
data_simulator.session_config.num_sessions=2 \
data_simulator.session_config.session_length=60
rm -rf ./test_simulator
- uses: "NVIDIA/NeMo/.github/actions/cancel-workflow@main"
if: "failure()"
# L2: ASR Multi-dataloader dev run
L2_ASR_Multi-dataloader_dev_run_Speech_to_Text_multi-dataloader:
needs: [cicd-test-container-setup]
runs-on: self-hosted-azure
container:
credentials:
username: nemoci
password: ${{ secrets.ACR_PASSWORD }}
image: nemoci.azurecr.io/nemo_container_${{ github.run_id }}
options:
# --user 0:128
--device=/dev/nvidia0
--gpus all
--shm-size=8g
--env TRANSFORMERS_OFFLINE=0
--env HYDRA_FULL_ERROR=1
--volume /datadrive/TestData:/home/TestData
steps:
- name: Checkout repository
uses: actions/checkout@v2
- run: |
python examples/asr/asr_ctc/speech_to_text_ctc.py \
model.train_ds.manifest_filepath=/home/TestData/an4_dataset/an4_train.json \
model.validation_ds.manifest_filepath=[/home/TestData/an4_dataset/an4_val.json,/home/TestData/an4_dataset/an4_val.json] \
trainer.devices=[0] \
trainer.accelerator="gpu" \
trainer.max_epochs=1 \
trainer.max_steps=1 \
+trainer.num_sanity_val_steps=1 \
exp_manager.exp_dir=examples/asr/speech_to_text_results
rm -rf examples/asr/speech_to_text_results
- uses: "NVIDIA/NeMo/.github/actions/cancel-workflow@main"
if: "failure()"
L2_ASR_Multi-dataloader_dev_run_Speech_to_Label_multi-dataloader:
needs: [cicd-test-container-setup]
runs-on: self-hosted-azure
container:
credentials:
username: nemoci
password: ${{ secrets.ACR_PASSWORD }}
image: nemoci.azurecr.io/nemo_container_${{ github.run_id }}
options:
# --user 0:128
--device=/dev/nvidia0
--gpus all
--shm-size=8g
--env TRANSFORMERS_OFFLINE=0
--env HYDRA_FULL_ERROR=1
--volume /datadrive/TestData:/home/TestData
steps:
- name: Checkout repository
uses: actions/checkout@v2
- run: |
python examples/asr/speech_classification/speech_to_label.py \
model.train_ds.manifest_filepath=/home/TestData/speech_commands/train_manifest.json \
model.validation_ds.manifest_filepath=[/home/TestData/speech_commands/test_manifest.json,/home/TestData/speech_commands/test_manifest.json] \
trainer.devices=[1] \
trainer.accelerator="gpu" \
trainer.max_epochs=1 \
trainer.max_steps=1 \
+trainer.num_sanity_val_steps=1 \
model.preprocessor._target_=nemo.collections.asr.modules.AudioToMelSpectrogramPreprocessor \
~model.preprocessor.window_size \
~model.preprocessor.window_stride \
~model.preprocessor.window \
~model.preprocessor.n_mels \
~model.preprocessor.n_mfcc \
~model.preprocessor.n_fft \
exp_manager.exp_dir=examples/asr/speech_to_label_results
rm -rf examples/asr/speech_to_label_results
- uses: "NVIDIA/NeMo/.github/actions/cancel-workflow@main"
if: "failure()"
# L2: ASR Adapters
L2_ASR_Adapters_Linear_Adapters:
needs: [cicd-test-container-setup]
runs-on: self-hosted-azure
container: