Files
SirRoboGarage/PPO_Bot/weights.nim
T
SirStone aea0724d3a fix(PPO_Bot): radar oscillation, Adam persistence, checkpoint order, channel race
- enemy_tracker: toggle lastOvershootDir each tick; make getRadarTurnRate take var tracker
- training: remove threadvar Adam globals; pass adamStates as var param to ppoUpdate; export ACAdamStates
- PPO_Bot: carry ACAdamStates through TrainingArgs/TrainingResult; drop trainingDone bool and Lock — use resultChan.tryRecv() directly as synchronisation
- weights: sort checkpoint dirs newest-first by mtime instead of hardcoded order
- tests/test_training: pass explicit ACAdamStates to ppoUpdate

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-08-16 15:42:06 +02:00

105 lines
4.2 KiB
Nim

## weights.nim — save/load ActorCritic weights as .npy files.
import std/[os, times, strutils, algorithm, sequtils]
import arraymancer
import ./network
# ── Tensor names — order must match save/load ─────────────────────────────────
const weightFiles = [
"actor_w1.npy", "actor_b1.npy", "actor_w2.npy", "actor_b2.npy",
"actor_w3.npy", "actor_b3.npy",
"critic_w1.npy", "critic_b1.npy", "critic_w2.npy", "critic_b2.npy",
"critic_w3.npy", "critic_b3.npy",
"log_std.npy",
]
proc saveWeights*(ac: ActorCritic, dir: string) =
## Write all weight tensors to dir/ as .npy files.
createDir(dir)
ac.actor.w1.write_npy(dir / "actor_w1.npy")
ac.actor.b1.write_npy(dir / "actor_b1.npy")
ac.actor.w2.write_npy(dir / "actor_w2.npy")
ac.actor.b2.write_npy(dir / "actor_b2.npy")
ac.actor.w3.write_npy(dir / "actor_w3.npy")
ac.actor.b3.write_npy(dir / "actor_b3.npy")
ac.critic.w1.write_npy(dir / "critic_w1.npy")
ac.critic.b1.write_npy(dir / "critic_b1.npy")
ac.critic.w2.write_npy(dir / "critic_w2.npy")
ac.critic.b2.write_npy(dir / "critic_b2.npy")
ac.critic.w3.write_npy(dir / "critic_w3.npy")
ac.critic.b3.write_npy(dir / "critic_b3.npy")
ac.logStd.write_npy(dir / "log_std.npy")
proc loadWeights*(ac: var ActorCritic, dir: string) =
## Load all weight tensors from dir/. Asserts shapes match.
template loadAndCheck(dest: untyped, path: string) =
let loaded = read_npy[float32](path)
doAssert loaded.shape == dest.shape,
"Shape mismatch loading " & path & ": got " & $loaded.shape & " want " & $dest.shape
dest = loaded
loadAndCheck(ac.actor.w1, dir / "actor_w1.npy")
loadAndCheck(ac.actor.b1, dir / "actor_b1.npy")
loadAndCheck(ac.actor.w2, dir / "actor_w2.npy")
loadAndCheck(ac.actor.b2, dir / "actor_b2.npy")
loadAndCheck(ac.actor.w3, dir / "actor_w3.npy")
loadAndCheck(ac.actor.b3, dir / "actor_b3.npy")
loadAndCheck(ac.critic.w1, dir / "critic_w1.npy")
loadAndCheck(ac.critic.b1, dir / "critic_b1.npy")
loadAndCheck(ac.critic.w2, dir / "critic_w2.npy")
loadAndCheck(ac.critic.b2, dir / "critic_b2.npy")
loadAndCheck(ac.critic.w3, dir / "critic_w3.npy")
loadAndCheck(ac.critic.b3, dir / "critic_b3.npy")
loadAndCheck(ac.logStd, dir / "log_std.npy")
proc saveWeightsAtomic*(ac: ActorCritic, targetDir: string) =
## Write to a temp dir, then rename atomically over targetDir.
let tmpDir = targetDir & "_tmp_" & $int(epochTime())
saveWeights(ac, tmpDir)
if dirExists(targetDir):
removeDir(targetDir)
moveDir(tmpDir, targetDir)
proc saveCheckpoint*(ac: ActorCritic, weightsRoot: string, roundNum: int) =
## Always saves to weightsRoot/latest/.
## Every 50 rounds also saves to checkpoint_{1,2,3} in round-robin.
saveWeightsAtomic(ac, weightsRoot / "latest")
if roundNum mod 50 == 0:
let slot = ((roundNum div 50 - 1) mod 3) + 1 # 50→1, 100→2, 150→3, 200→1, …
saveWeightsAtomic(ac, weightsRoot / ("checkpoint_" & $slot))
proc loadBestAvailable*(ac: var ActorCritic, weightsRoot: string): bool =
## Try latest/ first, then checkpoints sorted newest-first by mtime.
## Returns true if weights loaded, false if all fail (random init stays).
let checkpoints = [weightsRoot / "checkpoint_1",
weightsRoot / "checkpoint_2",
weightsRoot / "checkpoint_3"]
# Sort checkpoints newest-first by modification time
var existing: seq[tuple[mtime: Time, path: string]]
for p in checkpoints:
if dirExists(p):
existing.add((getLastModificationTime(p), p))
existing.sort(proc(a, b: tuple[mtime: Time, path: string]): int =
cmp(b.mtime, a.mtime)) # descending
let candidates = @[weightsRoot / "latest"] & existing.mapIt(it.path)
for candidate in candidates:
if dirExists(candidate):
var ok = true
for f in weightFiles:
if not fileExists(candidate / f):
ok = false
break
if ok:
ac.loadWeights(candidate)
return true
result = false
proc cleanStaleTempDirs*(weightsRoot: string) =
## Delete any dirs inside weightsRoot whose name contains "_tmp_".
if not dirExists(weightsRoot): return
for kind, path in walkDir(weightsRoot):
if kind == pcDir and "_tmp_" in lastPathPart(path):
removeDir(path)