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classification regresion tests split into 2 #656

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merged 3 commits into from
Jan 26, 2023
Merged

classification regresion tests split into 2 #656

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393c45b
classification regresion tests split into 2
shaydeci Jan 26, 2023
8f94aee
tets split and order defined
shaydeci Jan 26, 2023
9e001cb
test ref fixed
shaydeci Jan 26, 2023
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57 changes: 48 additions & 9 deletions .circleci/config.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -419,7 +419,7 @@ jobs:
command: "rm -r << parameters.sg_new_env_name >>"
when: on_fail

recipe_sanity_tests_classification:
recipe_sanity_tests_classification_pt1:
machine: true
resource_class: deci-ai/sg-gpu-on-premise
parameters:
Expand All @@ -443,12 +443,6 @@ jobs:
python3.8 -m pip install -r requirements.txt
python3.8 -m pip install .
python3.8 -m pip install torch==1.12.0+cu116 torchvision==0.13.0+cu116 torchaudio==0.12.0 --extra-index-url https://download.pytorch.org/whl/cu116
python3.8 src/super_gradients/examples/train_from_recipe_example/train_from_recipe.py --config-name=imagenet_efficientnet dataset_params.train_dataloader_params.batch_size=3 dataset_params.val_dataloader_params.batch_size=3 training_hyperparams.max_epochs=1 training_hyperparams.average_best_models=False num_gpus=4
python3.8 src/super_gradients/examples/train_from_recipe_example/train_from_recipe.py --config-name=imagenet_mobilenetv2 dataset_params.train_dataloader_params.batch_size=3 dataset_params.val_dataloader_params.batch_size=3 training_hyperparams.max_epochs=1 training_hyperparams.average_best_models=False num_gpus=4
python3.8 src/super_gradients/examples/train_from_recipe_example/train_from_recipe.py --config-name=imagenet_mobilenetv3_large dataset_params.train_dataloader_params.batch_size=3 dataset_params.val_dataloader_params.batch_size=3 training_hyperparams.max_epochs=1 training_hyperparams.average_best_models=False num_gpus=4
python3.8 src/super_gradients/examples/train_from_recipe_example/train_from_recipe.py --config-name=imagenet_mobilenetv3_small dataset_params.train_dataloader_params.batch_size=3 dataset_params.val_dataloader_params.batch_size=3 training_hyperparams.max_epochs=1 training_hyperparams.average_best_models=False num_gpus=4
python3.8 src/super_gradients/examples/train_from_recipe_example/train_from_recipe.py --config-name=imagenet_regnetY architecture=regnetY200 dataset_params.train_dataloader_params.batch_size=3 dataset_params.val_dataloader_params.batch_size=3 training_hyperparams.max_epochs=1 training_hyperparams.average_best_models=False num_gpus=4
python3.8 src/super_gradients/examples/train_from_recipe_example/train_from_recipe.py --config-name=imagenet_regnetY architecture=regnetY400 dataset_params.train_dataloader_params.batch_size=3 dataset_params.val_dataloader_params.batch_size=3 training_hyperparams.max_epochs=1 training_hyperparams.average_best_models=False num_gpus=4
python3.8 src/super_gradients/examples/train_from_recipe_example/train_from_recipe.py --config-name=imagenet_regnetY architecture=regnetY600 dataset_params.train_dataloader_params.batch_size=3 dataset_params.val_dataloader_params.batch_size=3 training_hyperparams.max_epochs=1 training_hyperparams.average_best_models=False num_gpus=4
python3.8 src/super_gradients/examples/train_from_recipe_example/train_from_recipe.py --config-name=imagenet_regnetY architecture=regnetY800 dataset_params.train_dataloader_params.batch_size=3 dataset_params.val_dataloader_params.batch_size=3 training_hyperparams.max_epochs=1 training_hyperparams.average_best_models=False num_gpus=4
python3.8 src/super_gradients/examples/train_from_recipe_example/train_from_recipe.py --config-name=imagenet_repvgg dataset_params.train_dataloader_params.batch_size=3 dataset_params.val_dataloader_params.batch_size=3 training_hyperparams.max_epochs=1 training_hyperparams.average_best_models=False num_gpus=4
Expand All @@ -460,6 +454,40 @@ jobs:
name: Remove new environment when failed
command: "rm -r << parameters.sg_new_env_name >>"
when: on_fail
recipe_sanity_tests_classification_pt2:
machine: true
resource_class: deci-ai/sg-gpu-on-premise
parameters:
sg_existing_env_path:
type: string
default: "/env/persistent_env"
sg_new_env_name:
type: string
default: "${CIRCLE_BUILD_NUM}"
sg_new_env_python_version:
type: string
default: "python3.8"
steps:
- checkout
- run:
name: install requirements and run classification sanity tests
command: |
<< parameters.sg_new_env_python_version >> -m venv << parameters.sg_new_env_name >>
source << parameters.sg_new_env_name >>/bin/activate
python3.8 -m pip install --upgrade setuptools pip wheel
python3.8 -m pip install -r requirements.txt
python3.8 -m pip install .
python3.8 -m pip install torch==1.12.0+cu116 torchvision==0.13.0+cu116 torchaudio==0.12.0 --extra-index-url https://download.pytorch.org/whl/cu116
python3.8 src/super_gradients/examples/train_from_recipe_example/train_from_recipe.py --config-name=imagenet_efficientnet dataset_params.train_dataloader_params.batch_size=3 dataset_params.val_dataloader_params.batch_size=3 training_hyperparams.max_epochs=1 training_hyperparams.average_best_models=False num_gpus=4
python3.8 src/super_gradients/examples/train_from_recipe_example/train_from_recipe.py --config-name=imagenet_mobilenetv2 dataset_params.train_dataloader_params.batch_size=3 dataset_params.val_dataloader_params.batch_size=3 training_hyperparams.max_epochs=1 training_hyperparams.average_best_models=False num_gpus=4
python3.8 src/super_gradients/examples/train_from_recipe_example/train_from_recipe.py --config-name=imagenet_mobilenetv3_large dataset_params.train_dataloader_params.batch_size=3 dataset_params.val_dataloader_params.batch_size=3 training_hyperparams.max_epochs=1 training_hyperparams.average_best_models=False num_gpus=4
python3.8 src/super_gradients/examples/train_from_recipe_example/train_from_recipe.py --config-name=imagenet_mobilenetv3_small dataset_params.train_dataloader_params.batch_size=3 dataset_params.val_dataloader_params.batch_size=3 training_hyperparams.max_epochs=1 training_hyperparams.average_best_models=False num_gpus=4
python3.8 src/super_gradients/examples/train_from_recipe_example/train_from_recipe.py --config-name=imagenet_regnetY architecture=regnetY200 dataset_params.train_dataloader_params.batch_size=3 dataset_params.val_dataloader_params.batch_size=3 training_hyperparams.max_epochs=1 training_hyperparams.average_best_models=False num_gpus=4
python3.8 src/super_gradients/examples/train_from_recipe_example/train_from_recipe.py --config-name=imagenet_regnetY architecture=regnetY400 dataset_params.train_dataloader_params.batch_size=3 dataset_params.val_dataloader_params.batch_size=3 training_hyperparams.max_epochs=1 training_hyperparams.average_best_models=False num_gpus=4
- run:
name: Remove new environment when failed
command: "rm -r << parameters.sg_new_env_name >>"
when: on_fail

recipe_sanity_tests_segmentation:
machine: true
Expand Down Expand Up @@ -560,19 +588,30 @@ workflows:
<<: *release_tag_filter
- recipe_accuracy_tests:
<<: *release_tag_filter
- recipe_sanity_tests_classification:
- recipe_sanity_tests_classification_pt1:
requires:
- recipe_accuracy_tests
<<: *release_tag_filter
- recipe_sanity_tests_classification_pt2:
requires:
- recipe_sanity_tests_classification_pt1
<<: *release_tag_filter
- recipe_sanity_tests_segmentation:
requires:
- recipe_sanity_tests_classification_pt2
<<: *release_tag_filter
- recipe_sanity_tests_detection:
requires:
- recipe_sanity_tests_segmentation
<<: *release_tag_filter

- release_version:
py_version: "3.7"
requires:
- "build3.7"
- recipe_accuracy_tests
- recipe_sanity_tests_classification
- recipe_sanity_tests_classification_pt1
- recipe_sanity_tests_classification_pt2
- recipe_sanity_tests_segmentation
- recipe_sanity_tests_detection
<<: *release_tag_filter
Expand Down