Upload jobs/g1fs16_probe.py with huggingface_hub
Browse files- jobs/g1fs16_probe.py +34 -0
jobs/g1fs16_probe.py
CHANGED
|
@@ -65,6 +65,40 @@ from trident.nucleus5m3 import M3Config, M3Field # noqa: E402
|
|
| 65 |
|
| 66 |
DEVICE = torch.device("cuda" if torch.cuda.is_available() else "cpu")
|
| 67 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 68 |
ARM = os.environ.get("FS16_ARM", "field")
|
| 69 |
SEEDS = [int(s) for s in os.environ.get("FS16_SEEDS", "0").split(",")]
|
| 70 |
STEPS = int(os.environ.get("FS16_STEPS", "24000"))
|
|
|
|
| 65 |
|
| 66 |
DEVICE = torch.device("cuda" if torch.cuda.is_available() else "cpu")
|
| 67 |
|
| 68 |
+
# STRICT ENV: an FS16_* name this probe does not read is a MISCONFIGURED RUN, and
|
| 69 |
+
# it must abort rather than silently fall back to a default.
|
| 70 |
+
#
|
| 71 |
+
# This is not hypothetical. Three arms were launched with `FS16_SEED=0/1/2`, but
|
| 72 |
+
# the probe reads `FS16_SEEDS` (plural), so all three silently defaulted to
|
| 73 |
+
# seed 0 and produced byte-identical metrics -- which, had the gate been read
|
| 74 |
+
# rather than the gradient norms, would have registered a 3/3 pass assembled from
|
| 75 |
+
# three copies of one seed. It is the same failure mode as the optimizer
|
| 76 |
+
# partition that board #10 caught hours earlier: a name that does not match
|
| 77 |
+
# degrades quietly instead of failing loudly. Both are now closed the same way.
|
| 78 |
+
_KNOWN_ENV = {
|
| 79 |
+
"FS16_ACT_INIT", "FS16_ARM", "FS16_BETA_A", "FS16_BYTE_LOCAL",
|
| 80 |
+
"FS16_CARRIER", "FS16_CLOSURE", "FS16_COMP_LR", "FS16_COSINE",
|
| 81 |
+
"FS16_CURRIC", "FS16_D", "FS16_DC", "FS16_EPS", "FS16_EVAL_BIND",
|
| 82 |
+
"FS16_EVAL_EVENTS", "FS16_EVAL_EVERY", "FS16_EVAL_PURITY",
|
| 83 |
+
"FS16_EVAL_WORDS", "FS16_EVENTS", "FS16_FROZEN_PANEL", "FS16_GROUP_CLIP",
|
| 84 |
+
"FS16_LAM_A", "FS16_LAM_CPU", "FS16_LAM_MID", "FS16_LAYERS", "FS16_LR",
|
| 85 |
+
"FS16_LR_FLOOR", "FS16_LR_WARMUP", "FS16_M", "FS16_MID_WARMUP",
|
| 86 |
+
"FS16_NONCE_MAX", "FS16_NO_PUSH", "FS16_ORACLE_ENT_TOL",
|
| 87 |
+
"FS16_ORACLE_ONLY", "FS16_ORACLE_STEPS", "FS16_PREFIX_R",
|
| 88 |
+
"FS16_RESULTS_REPO", "FS16_RESULT_FILE", "FS16_SAMPLED", "FS16_SEEDS",
|
| 89 |
+
"FS16_SLOTS", "FS16_ST", "FS16_STEPS", "FS16_STRATIFIED", "FS16_ST_AFTER",
|
| 90 |
+
"FS16_TRAIN_DEPTH",
|
| 91 |
+
}
|
| 92 |
+
_unknown = sorted(k for k in os.environ if k.startswith("FS16_")
|
| 93 |
+
and k not in _KNOWN_ENV)
|
| 94 |
+
if _unknown:
|
| 95 |
+
_near = {k: [c for c in sorted(_KNOWN_ENV)
|
| 96 |
+
if c.startswith(k) or k.startswith(c)] for k in _unknown}
|
| 97 |
+
raise SystemExit(
|
| 98 |
+
f"unrecognized FS16_* environment variable(s): {_unknown}. This probe "
|
| 99 |
+
f"would ignore them and run its defaults, so the run is refused. "
|
| 100 |
+
f"Closest declared names: {_near}")
|
| 101 |
+
|
| 102 |
ARM = os.environ.get("FS16_ARM", "field")
|
| 103 |
SEEDS = [int(s) for s in os.environ.get("FS16_SEEDS", "0").split(",")]
|
| 104 |
STEPS = int(os.environ.get("FS16_STEPS", "24000"))
|