File size: 8,095 Bytes
2ea2835 | 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 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 | #!/usr/bin/env python3
"""Check the cleaned release layout, public recipes, and source syntax.
This check is self-contained. It does not require the historical Git commit
used by the earlier readability-only comparison.
"""
from __future__ import annotations
import ast
import importlib.util
from pathlib import Path
import subprocess
import sys
import yaml
ROOT = Path(__file__).resolve().parents[1]
sys.dont_write_bytecode = True
RELEASES = {
"1.3B": {
"recipe": "three_encoder.yaml",
"required": (
"code/model/generation.py",
"code/model/distribution_matching.py",
"code/trainer/distribution_matching.py",
"code/trainer/feature_gradient_replay.py",
"code/losses/multi_encoder_mmd.py",
"code/losses/video_nystrom_mmd.py",
"code/video_fd/replay/replay_video_encoder_vjp.py",
),
"removed": (
"code/losses/replay_video_fd.py",
"code/losses/video_fd.py",
"code/losses/video_nystrom_reference_bank.py",
"code/model/fd.py",
"code/model/frame_fd_head.py",
"code/trainer/fresh_frame_fd_gradcache.py",
"code/trainer/two_level_fidel.py",
"code/utils/chunked_vae_decode.py",
"code/utils/fd_feature_grad.py",
"code/utils/video_chunking.py",
"code/utils/video_feature_extract.py",
),
"expected": {
"total_batch_size": 256,
"expected_current_teacher_samples": 128,
"fresh_video_local_samples": 64,
"fresh_video_generator_grad_local_samples": 32,
"triple_dinov3_weight": 10.0,
"triple_vjepa2_weight": 1.0,
"triple_videomae_v2_weight": 1.0,
"triple_aggregation_divisor": 3.0,
"max_steps": 150,
"generator_lr_cosine_end_step": 125,
"distribution_loss": "wan_kv_mmd",
},
},
"14B": {
"recipe": "train.yaml",
"required": (
"code/model/generation_base.py",
"code/model/distribution_matching.py",
"code/trainer/distribution_matching.py",
"code/trainer/feature_gradient_replay.py",
"code/losses/multi_encoder_mmd.py",
"code/losses/video_nystrom_mmd.py",
"code/video_fd/replay/replay_video_encoder_vjp.py",
),
"removed": (
"code/losses/replay_video_fd.py",
"code/losses/video_fd.py",
"code/losses/video_nystrom_reference_bank.py",
"code/model/fd.py",
"code/model/frame_fd_head.py",
"code/tools/precompute_frame_fd_stats.py",
"code/tools/precompute_vjepa2_fidel_reference_bank.py",
"code/trainer/fresh_frame_fd_gradcache.py",
"code/trainer/two_level_fidel.py",
"code/utils/chunked_vae_decode.py",
"code/utils/fd_feature_grad.py",
"code/utils/video_chunking.py",
"code/utils/video_feature_extract.py",
),
"expected": {
"total_batch_size": 256,
"expected_current_teacher_samples": 128,
"fresh_video_local_samples": 32,
"fresh_video_generator_grad_local_samples": 16,
"triple_active_branches": [
"dinov3", "vjepa2", "videomae_v2"],
"triple_dinov3_weight": 10.0,
"triple_vjepa2_weight": 1.0,
"triple_videomae_v2_weight": 1.0,
"triple_aggregation_divisor": 3.0,
"max_steps": 80,
"lr_schedule_total_steps": 200,
"distribution_loss": "wan_kv_mmd",
},
},
}
# These names belonged only to the removed auxiliary objectives. Historical
# checkpoint names such as fd_state_dict and the active video_fd encoder package
# deliberately remain allowed.
REMOVED_TOKENS = (
"frame_fd_",
"fidel_",
"fd_repr_",
"fd_guidance_scale",
"fresh_frame_fd_gradcache",
"losses.replay_video_fd",
"losses.video_fd",
"from model.fd import",
"import model.fd",
"model.frame_fd_head",
"precompute_frame_fd_stats",
"precompute_vjepa2_fidel_reference_bank",
"trainer.two_level_fidel",
"utils.chunked_vae_decode",
"utils.fd_feature_grad",
"utils.video_chunking",
"utils.video_feature_extract",
)
REMOVED_CONFIG_KEYS = {
"fd_decode_frames",
"fd_ema_beta",
"fd_exclude_first_frame",
"fd_feature_aggregation",
"fd_fid_norm_eps",
"fd_guidance_scale",
"fd_num_frames",
"fd_queue_size",
}
REMOVED_CONFIG_PREFIXES = ("frame_fd_", "fidel_", "fd_repr_")
def load_config_helper(release: str):
path = ROOT / release / "code/utils/config.py"
spec = importlib.util.spec_from_file_location(
f"release_config_{release.replace('.', '_')}", path)
module = importlib.util.module_from_spec(spec)
assert spec.loader is not None
spec.loader.exec_module(module)
return module
def nested_keys(value):
if isinstance(value, dict):
for key, child in value.items():
yield str(key)
yield from nested_keys(child)
elif isinstance(value, list):
for child in value:
yield from nested_keys(child)
def check_release(release: str, settings: dict) -> tuple[int, int]:
release_root = ROOT / release
for relative in settings["required"]:
assert (release_root / relative).is_file(), (
f"missing active release file: {release}/{relative}")
for relative in settings["removed"]:
assert not (release_root / relative).exists(), (
f"removed auxiliary-loss file is still present: "
f"{release}/{relative}")
source_paths = sorted((release_root / "code").rglob("*.py"))
for path in source_paths:
text = path.read_text()
ast.parse(text, filename=str(path.relative_to(ROOT)))
for token in REMOVED_TOKENS:
assert token not in text, (
f"stale auxiliary-loss reference {token!r} in "
f"{path.relative_to(ROOT)}")
shell_paths = sorted((release_root / "scripts").rglob("*.sh"))
for path in shell_paths:
subprocess.run(["bash", "-n", str(path)], check=True)
yaml_paths = sorted((release_root / "configs").rglob("*.yaml"))
yaml_paths += sorted((release_root / "code/configs").rglob("*.yaml"))
for path in yaml_paths:
payload = yaml.safe_load(path.read_text())
stale = sorted({
key for key in nested_keys(payload)
if key in REMOVED_CONFIG_KEYS
or key.startswith(REMOVED_CONFIG_PREFIXES)
})
assert not stale, (
f"stale auxiliary-loss config keys in {path.relative_to(ROOT)}: "
f"{', '.join(stale)}")
recipe_path = release_root / "configs" / settings["recipe"]
public = yaml.safe_load(recipe_path.read_text())
resolved = load_config_helper(release).resolve_config_aliases(public)
for key, expected in settings["expected"].items():
actual = resolved.get(key)
assert actual == expected, (
f"{recipe_path.relative_to(ROOT)}: {key}={actual!r}, "
f"expected {expected!r}")
print(
f"PASS {release}: active three-encoder recipe, cleaned layout, "
f"{len(source_paths)} Python files and {len(shell_paths)} shell files")
return len(source_paths), len(shell_paths)
def main() -> None:
python_count = 0
shell_count = 0
for release, settings in RELEASES.items():
parsed, checked_shell = check_release(release, settings)
python_count += parsed
shell_count += checked_shell
root_scripts = sorted((ROOT / "scripts").glob("*.py"))
for path in root_scripts:
ast.parse(path.read_text(), filename=str(path.relative_to(ROOT)))
print(
f"PASS root scripts: {len(root_scripts)} Python files parse; "
f"total release syntax checks {python_count} Python / "
f"{shell_count} shell files")
if __name__ == "__main__":
main()
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