Makefile

unit_tests:
	python -m unittest tests/deci_core_unit_test_suite_runner.py

integration_tests:
	python -m unittest tests/deci_core_integration_test_suite_runner.py

yolo_nas_integration_tests:
	python -m unittest tests/integration_tests/yolo_nas_integration_test.py

recipe_accuracy_tests:
	python src/super_gradients/train_from_recipe.py --config-name=coco2017_pose_dekr_w32_no_dc experiment_name=shortened_coco2017_pose_dekr_w32_ap_test epochs=1 batch_size=4 val_batch_size=8 training_hyperparams.lr_warmup_steps=0 training_hyperparams.average_best_models=False training_hyperparams.max_train_batches=1000 training_hyperparams.max_valid_batches=100 multi_gpu=DDP num_gpus=4
	python src/super_gradients/train_from_recipe.py --config-name=cifar10_resnet               experiment_name=shortened_cifar10_resnet_accuracy_test   epochs=100 training_hyperparams.average_best_models=False multi_gpu=DDP num_gpus=4
	python src/super_gradients/train_from_recipe.py --config-name=coco2017_yolox               experiment_name=shortened_coco2017_yolox_n_map_test      epochs=10  architecture=yolox_n training_hyperparams.loss=yolox_fast_loss training_hyperparams.average_best_models=False multi_gpu=DDP num_gpus=4
	python src/super_gradients/train_from_recipe.py --config-name=cityscapes_regseg48          experiment_name=shortened_cityscapes_regseg48_iou_test   epochs=10 training_hyperparams.average_best_models=False multi_gpu=DDP num_gpus=4
	python src/super_gradients/examples/convert_recipe_example/convert_recipe_example.py --config-name=cifar10_conversion_params experiment_name=shortened_cifar10_resnet_accuracy_test
	coverage run --source=super_gradients -m unittest tests/deci_core_recipe_test_suite_runner.py


examples_to_docs:
	jupyter nbconvert --to markdown --output-dir="documentation/source/" --execute src/super_gradients/examples/model_export/models_export.ipynb