File size: 3,280 Bytes
10979b5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 | """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()
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