File size: 5,379 Bytes
73a6ec3
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
#!/usr/bin/env bash
# =============================================================================
# ABLATION phase 1: 4k -> 16k. Two arms, one per H200, run CONCURRENTLY.
#
#   ARM=const   constant 8e-5              (GPU 0)
#   ARM=cosine  cosine 8e-5 -> 8e-6        (GPU 1)
#
# Both use Muon + AdamW, mirroring bluscript_zero_ckpt.cpp's BLU_OPTIMIZER=muon:
# Muon drives the >=2-D weight matrices, an aux AdamW path takes everything else,
# and ONE schedule drives both because mcfg.lr == mcfg.adamw_lr (ratio 1:1, which
# set_lr preserves). Pretraining used 8e-4/6e-4 (4:3); here both arms share one
# value per the ablation spec.
#
# WHAT HAD TO CHANGE IN THE TRAINER (2026-09-18):
#   CP_OPTIMIZER, CP_MAX_LR and CP_MIN_LR were read NOWHERE. max_lr/min_lr were
#   hardcoded 6e-4/6e-5 and every prior CP run that passed CP_OPTIMIZER=muon
#   silently trained with AdamW. All three are now wired.
#
# Warmup is 1% of the phase's steps: 12 of 1200.
# Everything else is identical to p1final so the comparison is clean.
# =============================================================================
set -uo pipefail
cd "$(dirname "$0")"
ROOT="$(cd ../.. && pwd)"
export LD_LIBRARY_PATH="$ROOT/Tensor-Implementations/lib:$ROOT/Profiler/lib:${LD_LIBRARY_PATH:-}"
export OMPI_ALLOW_RUN_AS_ROOT=1 OMPI_ALLOW_RUN_AS_ROOT_CONFIRM=1
export PATH=/usr/local/cuda/bin:$PATH
PY=/root/Adhi/BluTrain/envv/bin/python
EXE=./build/bluscriptCP_exec

ARM=${ARM:?set ARM=const or ARM=cosine}
GPU=${GPU:?set GPU=0 or 1}
T=65536; SCALE=16; ORIG=4096
STEPS=${STEPS:-1200}
WARM=$(( STEPS / 100 ))                 # 1% of this phase's steps
MAXLR=4e-5
case "$ARM" in
  const)  MINLR=4e-5; STABLE=$(( STEPS - WARM - 2 )) ;;   # flat: tail is the 2-step minimum
  cosine) MINLR=4e-6; STABLE=0 ;;                          # warmup -> cosine all the way down
  *) echo "ARM must be const or cosine"; exit 1 ;;
esac
GB=524288
DATA=Data_Loader/Data/ablmix64
CK=checkpoints_bluscriptcp/rank_0
PARENT=$(ls -t checkpoints_${ARM}/rank_0/blumodelcp_run*_step_*.ckpt 2>/dev/null | head -1)
[ -n "$PARENT" ] || { echo "FATAL: phase 1 ($ARM) produced no checkpoint"; exit 1; }
LOG=p2_${ARM}_logs; mkdir -p "$LOG"; M="$LOG/master.log"
say(){ echo "[$(date -u +%H:%M:%S)] [$ARM] $*" | tee -a "$M" >&2; }
die(){ say "FATAL: $*"; exit 1; }

[ -x "$EXE" ] || die "$EXE not built"
S=build/objects/.cp_rope_flags
grep -q 'CP_FUSED_ROPE=1' "$S" && grep -q 'CP_ATTN_SPLIT=1' "$S" || die "binary lacks split kernels"
[ -s "$PARENT" ] || die "phase-1 parent missing"
grep -qa "PHASE 1 $ARM COMPLETE" p1_${ARM}_logs/master.log 2>/dev/null || die "phase 1 ($ARM) did not report COMPLETE -- refusing to branch off a mid-run checkpoint"
[ -d "$DATA" ] || die "$DATA missing"
[ $((SCALE*ORIG)) -eq $T ] || die "YaRN invariant broken"
[ "$STABLE" -eq 0 ] || [ $(( WARM + STABLE )) -lt $(( STEPS - 1 )) ] || die "WSD guard would fire"
$PY -c "import tiktoken" 2>/dev/null || die "tiktoken missing"

ARCH="CP_N_EMBD=1536 CP_N_LAYER=24 CP_N_HEAD=12 CP_N_KVHEAD=4 CP_FFN=4096 CP_WEIGHT_TYING=1"
BASE="CP_SIZE=2 CP_ATTN_MODE=ring CP_ATTN_FUSION=split CP_T=$T \
YARN_SCALE=$SCALE YARN_ORIG_MAXPOS=$ORIG CP_ROPE_THETA=500000 \
CP_ZERO=1 CP_ZERO_V2=1 CP_BF16=1 \
CP_OPTIMIZER=muon CP_MAX_LR=$MAXLR CP_MIN_LR=$MINLR \
CP_WARMUP=$WARM CP_REWARMUP=$WARM CP_REWARMUP_PEAK=1.0 \
CP_STABLE=$STABLE CP_CKPT=1 CP_CKPT_FREQ=200 CP_CKPT_KEEP=3 \
CP_CKPT_DIR=checkpoints_${ARM}"

say "=== phase 2: 16k -> 64k, arm=$ARM (cp=2, BOTH GPUs) ==="
say "LR      : max $MAXLR  min $MINLR  warmup $WARM (1% of $STEPS)  stable $STABLE"
say "optim   : Muon (>=2-D matrices) + aux AdamW, both at the SAME lr"
say "parent  : $(basename "$PARENT")   data: $DATA   steps: $STEPS"

if [ ! -f "$LOG/probe.ok" ]; then
  say "PROBE 3 steps"
  env $ARCH $BASE CP_STABLE=0 CP_CKPT=0 CP_INIT_FROM="$PWD/$PARENT" \
      CP_DATA_ROOT="$PWD/$DATA" CP_B=1 CP_GLOBAL_BATCH=$GB CP_MAX_STEPS=3 \
      CUDA_VISIBLE_DEVICES=0,1 mpirun --allow-run-as-root -np 2 "$EXE" > "$LOG/probe.log" 2>&1
  RC=$?
  grep -qaiE 'out of memory|bad_alloc' "$LOG/probe.log" && die "PROBE OOM"
  N=$(grep -acE '^step +[0-9]+ \|' "$LOG/probe.log")
  P=$(grep -aoE 'mem: [0-9]+MB' "$LOG/probe.log"|tail -1)
  [ "$RC" -eq 0 ] && [ "$N" -ge 1 ] || { say "PROBE FAILED rc=$RC steps=$N"; tail -14 "$LOG/probe.log" >&2; exit 1; }
  # ASSERT the trainer actually took the new env vars -- all three were no-ops
  # until today, and a silent fallback would look like a healthy run.
  grep -qai 'muon' "$LOG/probe.log" || die "no Muon in probe log -- CP_OPTIMIZER did not take"
  LR0=$(grep -aoE '^step +0 \|.*lr [0-9.e+-]+' "$LOG/probe.log" | grep -oE 'lr [0-9.e+-]+' | awk '{print $2}')
  say "PROBE OK: $N steps, peak $P, step-0 lr=$LR0 (expect ~8.0e-05 at warmup 1/$WARM)"
  touch "$LOG/probe.ok"
fi

say "TRAINING $STEPS steps"
env $ARCH $BASE CP_INIT_FROM="$PWD/$PARENT" CP_CKPT_NEW_RUN=1 CP_DATA_ROOT="$PWD/$DATA" \
    CP_B=1 CP_GLOBAL_BATCH=$GB CP_MAX_STEPS=$STEPS \
    CUDA_VISIBLE_DEVICES=0,1 mpirun --allow-run-as-root -np 2 "$EXE" >> "$LOG/train.log" 2>&1
grep -qaiE 'out of memory|bad_alloc' "$LOG/train.log" && die "OOM mid-run"
RN=$(grep -aoE 'CP_Training_log[0-9]+' "$LOG/train.log" | head -1 | grep -oE '[0-9]+')
[ -n "$RN" ] && echo "$RN" > "$LOG/runnum"
say "done, run ${RN:-?}, $(grep -aE '^step ' "$LOG/train.log"|tail -1|grep -oE 'loss: [0-9.]+')"
say "=== PHASE 2 $ARM COMPLETE ==="