37 lines
1.1 KiB
Bash
Executable File
37 lines
1.1 KiB
Bash
Executable File
#!/bin/bash
|
|
set -ex
|
|
|
|
dir_path=$(dirname "${BASH_SOURCE[0]}")
|
|
args="
|
|
--data.batch_size=32
|
|
--trainer.max_epochs=1
|
|
--trainer.limit_train_batches=2
|
|
--trainer.limit_val_batches=2
|
|
--trainer.limit_test_batches=2
|
|
--trainer.limit_predict_batches=2
|
|
--optimizer=Adam
|
|
"
|
|
|
|
python "${dir_path}/basic_examples/backbone_image_classifier.py" ${args} "$@"
|
|
python "${dir_path}/basic_examples/autoencoder.py" ${args} "$@"
|
|
|
|
|
|
args="--dry-run"
|
|
python "${dir_path}/basic_examples/mnist_examples/image_classifier_1_pytorch.py" ${args}
|
|
python "${dir_path}/basic_examples/mnist_examples/image_classifier_2_lite.py" ${args}
|
|
python "${dir_path}/basic_examples/mnist_examples/image_classifier_3_lite_to_lightning_module.py" ${args}
|
|
python "${dir_path}/loop_examples/mnist_lite.py" ${args}
|
|
|
|
|
|
args="
|
|
--trainer.max_epochs=1
|
|
--trainer.limit_train_batches=2
|
|
--trainer.limit_val_batches=2
|
|
--trainer.limit_test_batches=2
|
|
--trainer.limit_predict_batches=2
|
|
--optimizer=Adam
|
|
"
|
|
|
|
python "${dir_path}/basic_examples/mnist_examples/image_classifier_4_lightning_module.py" ${args} "$@"
|
|
python "${dir_path}/basic_examples/mnist_examples/image_classifier_5_lightning_datamodule.py" ${args} "$@"
|