ClownCar: Frugendorff compression baseline + canonical DeltaNet integration

.gitignore

@@ -8,4 +8,5 @@ data/manifest.json
 data/docs_selected.jsonl
 .mypy_cache/
 .venv
-logs/
+logs/
+experiments/archive/checkpoints/

experiments/A_wing/RED/run.sh

@@ -0,0 +1,112 @@
+#!/bin/bash
+set -euo pipefail
+# A-WING RED_G: Mixer-first, startup-bounded variant.
+# Keeps learned mixer head, but bounds prefill and uses distributed sync
+# so setup doesn't dominate runtime.
+
+SCRIPT_DIR="$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")" && pwd)"
+REPO_ROOT="$(cd -- "${SCRIPT_DIR}/../../.." && pwd)"
+cd "${REPO_ROOT}"
+export PYTHONPATH="${REPO_ROOT}/flash-attention/hopper:${PYTHONPATH:-}"
+
+SEED="${SEED:-1337}"
+NPROC_PER_NODE="${NPROC_PER_NODE:-8}"
+: "${MAX_WALLCLOCK_SECONDS:=570}"
+
+# 10-minute eval budgeting (training and eval are separate challenge caps).
+: "${EVAL_BUDGET_SECONDS:=600}"
+: "${EVAL_FIXED_OVERHEAD_SECONDS:=150}"
+: "${EVAL_SAFETY_MARGIN_SECONDS:=45}"
+DEFAULT_NGRAM_MAX_SECONDS=$((EVAL_BUDGET_SECONDS - EVAL_FIXED_OVERHEAD_SECONDS - EVAL_SAFETY_MARGIN_SECONDS))
+if (( DEFAULT_NGRAM_MAX_SECONDS < 60 )); then
+    DEFAULT_NGRAM_MAX_SECONDS=60
+fi
+: "${NGRAM_EVAL_MAX_SECONDS:=${DEFAULT_NGRAM_MAX_SECONDS}}"
+: "${NGRAM_EVAL_BUCKETS:=16777216}"
+: "${NGRAM_CHUNK_TOKENS:=1048576}"
+
+# Mixer prefill controls (training-oracle build time).
+: "${MIXER_BUCKETS:=2097152}"
+: "${MIXER_N_ORDERS:=8}"                    # orders 2..9
+: "${MIXER_PREFILL_MAX_SHARDS:=80}"
+: "${MIXER_PREFILL_MAX_SECONDS:=90}"
+: "${MIXER_PREFILL_MIN_SHARDS:=4}"
+: "${MIXER_PREFILL_TOKENS_PER_SHARD:=50000000}"
+: "${MIXER_GPU_MODE:=1}"
+: "${MIXER_PREFILL_POS_CHUNK:=1000000}"
+
+: "${COMPILE_FULLGRAPH:=0}"
+
+# --- Pre-flight checks ---
+echo "[preflight] checking zstandard..."
+python3 -c "import zstandard; print(f'  zstandard {zstandard.__version__} OK')" 2>/dev/null \
+    || { echo "  FATAL: zstandard not found. pip install zstandard"; exit 1; }
+
+echo "[preflight] checking flash_attn..."
+python3 -c "
+try:
+    import flash_attn_interface; print('  FA3 (hopper) OK')
+except ImportError:
+    import flash_attn; v=flash_attn.__version__
+    if v.startswith('3'): print(f'  FA3 v{v} OK')
+    else: print(f'  WARNING: FA{v[0]} detected — want FA3')
+" 2>/dev/null || echo "  WARNING: no flash_attn found"
+
+echo "============================================"
+echo "  A-WING RED_G — GPU Monster Mixer"
+echo "  Seed: ${SEED}"
+echo "  Mixer: Linear(512→$((MIXER_N_ORDERS + 1))) orders 2..$((MIXER_N_ORDERS + 1))"
+echo "  Mixer prefill: <=${MIXER_PREFILL_MAX_SECONDS}s, min_shards=${MIXER_PREFILL_MIN_SHARDS}, max_shards=${MIXER_PREFILL_MAX_SHARDS}"
+echo "  Mixer buckets: ${MIXER_BUCKETS}, tokens/shard cap: ${MIXER_PREFILL_TOKENS_PER_SHARD}, gpu_mode=${MIXER_GPU_MODE}"
+echo "  Eval buckets: ${NGRAM_EVAL_BUCKETS}, ngram eval cap: ${NGRAM_EVAL_MAX_SECONDS}s"
+echo "  Training cap: ${MAX_WALLCLOCK_SECONDS}s"
+echo "============================================"
+
+SEED="$SEED" \
+F1_CORR_RANK=0 \
+DISTILL_ENABLED=0 \
+MLP_ACT=leaky_relu_sq \
+MLP_LEAKY_SLOPE=0.5 \
+XSA_LAST_N=4 \
+BIGRAM_VOCAB_SIZE=1536 \
+TTT_EVAL_ENABLED=0 \
+ROPE_DIMS=24 \
+VAL_LOSS_EVERY=20000 \
+TRAIN_LOG_EVERY=1000 \
+SWA_EVERY=100 \
+COMPLEMENT_ALPHA=0.5 \
+MIXER_ENABLED=1 \
+MIXER_N_ORDERS="${MIXER_N_ORDERS}" \
+MIXER_LOSS_WEIGHT=0.1 \
+MIXER_NEURAL_FLOOR=0.05 \
+MIXER_BUCKETS="${MIXER_BUCKETS}" \
+MIXER_PREFILL_MAX_SHARDS="${MIXER_PREFILL_MAX_SHARDS}" \
+MIXER_PREFILL_MAX_SECONDS="${MIXER_PREFILL_MAX_SECONDS}" \
+MIXER_PREFILL_MIN_SHARDS="${MIXER_PREFILL_MIN_SHARDS}" \
+MIXER_PREFILL_TOKENS_PER_SHARD="${MIXER_PREFILL_TOKENS_PER_SHARD}" \
+MIXER_GPU_MODE="${MIXER_GPU_MODE}" \
+MIXER_PREFILL_POS_CHUNK="${MIXER_PREFILL_POS_CHUNK}" \
+NGRAM_EVAL_ORDER=9 \
+NGRAM_EVAL_MIN_ORDER=2 \
+NGRAM_EVAL_ADAPTIVE=1 \
+NGRAM_EVAL_ALPHA=0.30 \
+NGRAM_EVAL_ALPHA_MIN=0.05 \
+NGRAM_EVAL_ALPHA_MAX=0.60 \
+NGRAM_EVAL_ENTROPY_CENTER=3.0 \
+NGRAM_EVAL_ENTROPY_SCALE=2.0 \
+NGRAM_EVAL_MIN_COUNT=2 \
+NGRAM_EVAL_BUCKETS="${NGRAM_EVAL_BUCKETS}" \
+NGRAM_EVAL_MAX_SECONDS="${NGRAM_EVAL_MAX_SECONDS}" \
+CUBRIC_CADENCE=0 \
+NGRAM_ENTROPY_SHIFT=1 \
+NGRAM_ORDER_MULTS="" \
+NGRAM_CHUNK_TOKENS="${NGRAM_CHUNK_TOKENS}" \
+MAX_WALLCLOCK_SECONDS="${MAX_WALLCLOCK_SECONDS}" \
+COMPILE_FULLGRAPH="${COMPILE_FULLGRAPH}" \
+torchrun --standalone --nproc_per_node="${NPROC_PER_NODE}" \
+    "${SCRIPT_DIR}/train_gpt.py" \
+    2>&1 | tee "logs/awing_redg_gpu_mixer_s${SEED}_$(date +%Y%m%d_%H%M%S).log"
+
+echo "============================================"
+echo "  DONE"
+echo "============================================"