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from typing import Dict |
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import pytest |
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import yaml |
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from deepreg.config.v011 import ( |
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parse_data, |
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parse_image_loss, |
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parse_label_loss, |
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parse_loss, |
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parse_model, |
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parse_optimizer, |
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parse_reg_loss, |
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parse_v011, |
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) |
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@pytest.mark.parametrize( |
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("old_config_path", "latest_config_path"), |
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[ |
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( |
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"config/test/grouped_mr_heart_v011.yaml", |
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"demos/grouped_mr_heart/grouped_mr_heart.yaml", |
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), |
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( |
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"demos/grouped_mr_heart/grouped_mr_heart.yaml", |
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"demos/grouped_mr_heart/grouped_mr_heart.yaml", |
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), |
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], |
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) |
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def test_grouped_mr_heart(old_config_path: str, latest_config_path: str): |
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with open(old_config_path) as file: |
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old_config = yaml.load(file, Loader=yaml.FullLoader) |
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with open(latest_config_path) as file: |
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latest_config = yaml.load(file, Loader=yaml.FullLoader) |
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updated_config = parse_v011(old_config=old_config) |
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assert updated_config == latest_config |
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class TestParseData: |
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config_v011 = { |
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"dir": { |
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"train": "dir_train", |
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"test": "dir_test", |
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}, |
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"format": "h5", |
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"labeled": True, |
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"type": "paired", |
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} |
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config_latest = { |
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"train": { |
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"dir": "dir_train", |
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"format": "h5", |
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"labeled": True, |
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}, |
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"test": { |
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"dir": "dir_test", |
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"format": "h5", |
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"labeled": True, |
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}, |
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"type": "paired", |
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} |
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@pytest.mark.parametrize( |
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("data_config", "expected"), |
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[ |
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(config_v011, config_latest), |
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(config_latest, config_latest), |
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], |
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) |
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def test_parse(self, data_config: Dict, expected: Dict): |
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got = parse_data(data_config=data_config) |
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assert got == expected |
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class TestParseModel: |
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config_v011 = { |
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"model": { |
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"method": "dvf", |
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"backbone": "global", |
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"global": {"num_channel_initial": 32, "extract_levels": [0, 1, 2]}, |
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} |
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} |
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config_latest = { |
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"method": "dvf", |
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"backbone": {"name": "global", "num_channel_initial": 32, "depth": 2}, |
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} |
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@pytest.mark.parametrize( |
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("model_config", "expected"), |
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[ |
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(config_v011, config_latest), |
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(config_v011["model"], config_latest), |
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(config_latest, config_latest), |
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], |
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) |
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def test_parse(self, model_config: Dict, expected: Dict): |
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got = parse_model(model_config=model_config) |
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assert got == expected |
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class TestParseLoss: |
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config_v011 = { |
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"dissimilarity": { |
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"image": { |
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"name": "lncc", |
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"weight": 2.0, |
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"lncc": { |
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"kernel_size": 9, |
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"kernel_type": "rectangular", |
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}, |
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}, |
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} |
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} |
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config_latest = { |
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"image": { |
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"name": "lncc", |
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"weight": 2.0, |
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"kernel_size": 9, |
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"kernel_type": "rectangular", |
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}, |
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} |
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@pytest.mark.parametrize( |
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("loss_config", "expected"), |
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[ |
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(config_v011, config_latest), |
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(config_latest, config_latest), |
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], |
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) |
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def test_parse(self, loss_config: Dict, expected: Dict): |
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got = parse_loss(loss_config=loss_config) |
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assert got == expected |
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class TestParseImageLoss: |
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config_v011 = { |
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"image": { |
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"name": "lncc", |
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"weight": 2.0, |
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"lncc": { |
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"kernel_size": 9, |
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"kernel_type": "rectangular", |
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}, |
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}, |
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} |
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config_latest = { |
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"image": { |
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"name": "lncc", |
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"weight": 2.0, |
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"kernel_size": 9, |
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"kernel_type": "rectangular", |
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}, |
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} |
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@pytest.mark.parametrize( |
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("loss_config", "expected"), |
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[ |
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(config_v011, config_latest), |
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(config_latest, config_latest), |
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], |
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) |
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def test_parse(self, loss_config: Dict, expected: Dict): |
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got = parse_image_loss(loss_config=loss_config) |
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assert got == expected |
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def test_parse_multiple_loss(self): |
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loss_config = { |
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"image": [ |
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{ |
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"name": "lncc", |
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"weight": 0.5, |
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"kernel_size": 9, |
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"kernel_type": "rectangular", |
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}, |
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{ |
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"name": "ssd", |
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"weight": 0.5, |
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}, |
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], |
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} |
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got = parse_image_loss(loss_config=loss_config) |
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assert got == loss_config |
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class TestParseLabelLoss: |
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@pytest.mark.parametrize( |
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("name_loss", "expected_config"), |
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[ |
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( |
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"multi_scale", |
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{ |
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"label": { |
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"name": "ssd", |
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"weight": 2.0, |
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"scales": [0, 1], |
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}, |
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}, |
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), |
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( |
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"single_scale", |
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{ |
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"label": { |
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"name": "dice", |
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"weight": 1.0, |
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}, |
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}, |
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), |
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], |
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) |
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def test_parse_outdated_loss(self, name_loss: str, expected_config: Dict): |
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outdated_config = { |
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"label": { |
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"name": name_loss, |
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"single_scale": { |
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"loss_type": "dice_generalized", |
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}, |
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"multi_scale": { |
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"loss_type": "mean-squared", |
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"loss_scales": [0, 1], |
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}, |
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}, |
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} |
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if name_loss == "multi_scale": |
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outdated_config["label"]["weight"] = 2.0 # type: ignore |
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got = parse_label_loss(loss_config=outdated_config) |
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assert got == expected_config |
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def test_parse_background_weight(self): |
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outdated_config = { |
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"label": { |
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"name": "dice", |
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"weight": 1.0, |
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"neg_weight": 2.0, |
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}, |
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} |
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expected_config = { |
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"label": { |
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"name": "dice", |
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"weight": 1.0, |
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"background_weight": 2.0, |
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}, |
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} |
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got = parse_label_loss(loss_config=outdated_config) |
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assert got == expected_config |
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def test_parse_multiple_loss(self): |
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loss_config = { |
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"label": [ |
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{ |
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"name": "dice", |
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"weight": 1.0, |
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}, |
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{ |
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"name": "cross-entropy", |
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"weight": 1.0, |
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}, |
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], |
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} |
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got = parse_label_loss(loss_config=loss_config) |
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assert got == loss_config |
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class TestParseRegularizationLoss: |
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@pytest.mark.parametrize( |
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("energy_type", "loss_name", "extra_args"), |
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[ |
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("bending", "bending", {}), |
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("gradient-l2", "gradient", {"l1": False}), |
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("gradient-l1", "gradient", {"l1": True}), |
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], |
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) |
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def test_parse_outdated_loss( |
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self, energy_type: str, loss_name: str, extra_args: Dict |
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): |
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loss_config = { |
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"regularization": { |
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"energy_type": energy_type, |
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"weight": 2.0, |
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} |
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} |
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expected = { |
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"regularization": { |
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"name": loss_name, |
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"weight": 2.0, |
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**extra_args, |
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}, |
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} |
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got = parse_reg_loss(loss_config=loss_config) |
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assert got == expected |
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def test_parse_multiple_reg_loss(self): |
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loss_config = { |
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"regularization": [ |
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{ |
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"name": "bending", |
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"weight": 2.0, |
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}, |
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{ |
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"name": "gradient", |
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"weight": 2.0, |
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"l1": True, |
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}, |
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], |
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} |
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got = parse_reg_loss(loss_config=loss_config) |
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assert got == loss_config |
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class TestParseOptimizer: |
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config_v011 = { |
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"name": "adam", |
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"adam": { |
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"learning_rate": 1.0e-4, |
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}, |
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"sgd": { |
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"learning_rate": 1.0e-4, |
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"momentum": 0.9, |
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}, |
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} |
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config_latest = { |
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"name": "Adam", |
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"learning_rate": 1.0e-4, |
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} |
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@pytest.mark.parametrize( |
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("opt_config", "expected"), |
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[ |
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(config_v011, config_latest), |
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(config_latest, config_latest), |
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], |
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) |
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def test_parse(self, opt_config: Dict, expected: Dict): |
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got = parse_optimizer(opt_config=opt_config) |
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assert got == expected |
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