blob: 7529fc521e6d18d7750437b30506da8ade01ea16 (
plain)
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
|
#!/usr/bin/env bash
set -euo pipefail
ROOT=/home/yurenh2/sdil
AUTHOR=/scratch/yurenh2/energy-based-learning
PYTHON=/scratch/yurenh2/venvs/burstccn/bin/python
PROFILE="$ROOT/results/physical_bias/p0_state_dependence.json"
OUT="$ROOT/results/ep_bias/released_profile_r0"
mkdir -p "$OUT"
cd "$AUTHOR"
run_cell() {
local gpu=$1
local tag=$2
local mode=$3
local cadence=$4
CUBLAS_WORKSPACE_CONFIG=:4096:8 CUDA_VISIBLE_DEVICES="$gpu" "$PYTHON" \
"$ROOT/experiments/rain_ep_bias_train.py" \
--author-root "$AUTHOR" --device cuda \
--adapter dillavou --network-protocol comparative32 \
--beta-policy fixed_positive --beta-value 0.25 \
--mode "$mode" --bias-ratio 1 \
--dillavou-drift-ratio 0 --dillavou-profile-json "$PROFILE" \
--predictor-rate 1 --dillavou-calibration-steps 1 \
--neutral-cadence "$cadence" --epochs 1 --schedule-epochs 100 \
--train-limit 10000 --test-limit 2000 --batch-size 128 \
--training-iterations 15 --inference-iterations 60 \
--evaluation-split train_holdout --data-seed 6200 \
--seed 1988 --beta-seed 7100 --deterministic \
--output "$OUT/$tag.json" > "$OUT/$tag.log" 2>&1
}
run_cell 0 pep_clean clean 0 &
run_cell 1 profile_raw raw 0 &
run_cell 2 intercept_initial constant 0 &
run_cell 3 sdil_initial innovation 0 &
run_cell 4 intercept_c10 constant 10 &
run_cell 5 sdil_c10 innovation 10 &
run_cell 6 intercept_c50 constant 50 &
run_cell 7 sdil_c50 innovation 50 &
wait
"$PYTHON" - "$OUT" <<'PY'
import json
from pathlib import Path
import sys
root = Path(sys.argv[1])
summary = {}
for path in sorted(root.glob("*.json")):
if path.name == "summary.json":
continue
report = json.loads(path.read_text())
summary[path.stem] = {
"test_accuracy": report["final"]["test_accuracy"],
"test_cost": report["final"]["test_cost"],
"finite": report["final"]["finite"],
"wall_seconds": report["final"]["wall_seconds"],
"corrector": report["final"]["corrector"],
}
(root / "summary.json").write_text(json.dumps(summary, indent=2) + "\n")
print(json.dumps(summary, indent=2))
PY
|
