| """Guards for the frozen ImageNet recipe and launch variants.""" |
|
|
| from __future__ import annotations |
|
|
| import unittest |
| from pathlib import Path |
|
|
| from gmnet.config import load_config |
|
|
|
|
| ROOT = Path(__file__).resolve().parents[1] |
|
|
|
|
| class RecipeTests(unittest.TestCase): |
| def test_supplementary_recipe_is_frozen(self) -> None: |
| config = load_config(ROOT / "configs/base/imagenet_paper.yaml") |
| self.assertEqual(config["recipe_id"], "paper-supplementary-table8-v1") |
| self.assertEqual(config["data"]["batch_size"] * 8, 2048) |
| self.assertEqual(config["optimizer"]["lr"], 0.003) |
| self.assertEqual(config["optimizer"]["weight_decay"], 0.03) |
| self.assertEqual(config["mixup"]["mixup_alpha"], 0.8) |
| self.assertEqual(config["mixup"]["cutmix_alpha"], 0.4) |
| self.assertEqual(config["data"]["random_erasing"], 0.25) |
| self.assertEqual(config["train"]["epochs"], 300) |
| self.assertEqual(config["scheduler"]["warmup_epochs"], 5) |
| self.assertEqual(config["scheduler"]["step_unit"], "epoch") |
| self.assertEqual(config["scheduler"]["cooldown_epochs"], 0) |
| self.assertFalse(config["amp"]["enabled"]) |
| self.assertFalse(config["train"]["channels_last"]) |
| self.assertEqual(config["train"]["eval_interval"], 300) |
| self.assertFalse(config["train"]["save_best_checkpoint"]) |
| self.assertEqual( |
| config["optimizer"]["no_weight_decay_patterns"], ["raw_clip"] |
| ) |
| self.assertEqual(config["data"]["expected_train_samples"], 1_281_167) |
| self.assertEqual(config["data"]["expected_val_samples"], 50_000) |
|
|
| def test_scale_specific_drop_path(self) -> None: |
| expected = {"s1": 0.0, "s2": 0.0, "s3": 0.02, "s4": 0.02} |
| paths = { |
| "s1": "configs/e5_scaling/imagenet_gmnet_s1.yaml", |
| "s2": "configs/e0_baseline/imagenet_gmnet_s2.yaml", |
| "s3": "configs/e0_baseline/imagenet_gmnet_s3.yaml", |
| "s4": "configs/e5_scaling/imagenet_gmnet_s4.yaml", |
| } |
| for variant, relative in paths.items(): |
| with self.subTest(variant=variant): |
| config = load_config(ROOT / relative) |
| self.assertEqual(config["model"]["variant"], variant) |
| self.assertEqual(config["model"]["drop_path_rate"], expected[variant]) |
|
|
| def test_release_recipe_bn_audits_change_only_the_intended_topology(self) -> None: |
| paper_bn = load_config( |
| ROOT |
| / "configs/e0_baseline/imagenet_gmnet_s3_release_paper_bn.yaml" |
| ) |
| full_bn = load_config( |
| ROOT |
| / "configs/e0_baseline/imagenet_gmnet_s3_release_historical_full_bn.yaml" |
| ) |
| for config in (paper_bn, full_bn): |
| self.assertEqual(config["optimizer"]["weight_decay"], 0.05) |
| self.assertEqual(config["mixup"]["cutmix_alpha"], 0.2) |
| self.assertEqual(config["model"]["drop_path_rate"], 0.0) |
| self.assertTrue(config["model"]["projection_bn"]) |
| self.assertFalse(paper_bn["model"]["f12_bn"]) |
| self.assertFalse(paper_bn["model"]["second_dw_bn"]) |
| self.assertTrue(full_bn["model"]["f12_bn"]) |
| self.assertTrue(full_bn["model"]["second_dw_bn"]) |
|
|
|
|
| if __name__ == "__main__": |
| unittest.main() |
|
|
