261 lines
7.6 KiB
Python
261 lines
7.6 KiB
Python
#!/usr/bin/env python
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# mypy: ignore-errors
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"""Sweep a set of DeepSeek V3 MoE benchmark configurations."""
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from __future__ import annotations
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import argparse
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import csv
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import logging
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import sys
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from pathlib import Path
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from types import SimpleNamespace
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CURRENT_DIR = Path(__file__).resolve().parent
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for candidate in [CURRENT_DIR, *CURRENT_DIR.parents]:
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repo_root = candidate / "axolotl"
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if repo_root.exists():
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if str(repo_root) not in sys.path:
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sys.path.insert(0, str(repo_root))
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break
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else: # pragma: no cover - defensive guard
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raise SystemExit("Unable to locate axolotl repository root for imports")
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from scripts.benchmarks.deepseek_v3_moe import ( # noqa: E402
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ACCURACY_TOLERANCE,
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DTYPE_MAP,
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benchmark_deepseek_v3,
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)
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LOG = logging.getLogger(__name__)
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def parse_args() -> argparse.Namespace:
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parser = argparse.ArgumentParser(description=__doc__)
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parser.add_argument(
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"--dtype",
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choices=DTYPE_MAP.keys(),
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default="bf16",
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help="Computation dtype for all benchmarks",
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)
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parser.add_argument(
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"--device",
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default="auto",
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choices=["auto", "cpu", "cuda"],
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help="Execution device",
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)
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parser.add_argument("--warmup", type=int, default=3, help="Warmup iterations")
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parser.add_argument("--iters", type=int, default=15, help="Benchmark iterations")
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parser.add_argument("--seed", type=int, default=0, help="Random seed")
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parser.add_argument(
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"--group-size",
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type=int,
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help="Override GROUP_SIZE_M for every configuration",
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)
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parser.add_argument(
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"--no-uniform-routing",
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action="store_true",
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help="Disable uniform routing for every configuration",
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)
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parser.add_argument(
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"--include-mixtral-long",
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action="store_true",
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help="Add an 8×8192 Mixtral-style run to the sweep",
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)
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parser.add_argument(
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"--output",
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type=Path,
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help="Optional CSV file to store results",
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)
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return parser.parse_args()
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def make_namespace(
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base: dict, args: argparse.Namespace, backend: str
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) -> SimpleNamespace:
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combined = dict(base)
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combined.update(
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{
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"dtype": args.dtype,
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"device": args.device,
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"backend": backend,
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"warmup": args.warmup,
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"iters": args.iters,
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"seed": args.seed,
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"uniform_routing": not args.no_uniform_routing,
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}
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)
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if args.group_size is not None:
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combined["group_size"] = args.group_size
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return SimpleNamespace(**combined)
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ARCHETYPES = (
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(
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"mixtral",
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{
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"hidden_size": 4096,
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"moe_intermediate_size": 14336,
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"n_experts": 8,
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"top_k": 2,
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"groups": 1,
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"group_size": 128,
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},
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[(4, 2048), (8, 4096)],
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),
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(
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"qwen",
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{
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"hidden_size": 6144,
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"moe_intermediate_size": 24576,
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"n_experts": 16,
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"top_k": 4,
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"groups": 8,
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"group_size": 128,
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},
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[(4, 4096), (8, 8192)],
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),
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(
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"deepseek_v3",
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{
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"hidden_size": 12288,
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"moe_intermediate_size": 49152,
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"n_experts": 128,
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"top_k": 8,
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"groups": 16,
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"group_size": 128,
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},
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[(4, 4096), (8, 8192)],
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),
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)
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MIXTRAL_LONG_SHAPES = [(8, 8192)]
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BACKENDS = ("cg", "mg")
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def main() -> None: # pragma: no cover - utility script
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args = parse_args()
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grid = []
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for label, base_cfg, shapes in ARCHETYPES:
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for batch, seq_len in shapes:
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cfg = {
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"label": label,
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"batch": batch,
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"seq_len": seq_len,
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**base_cfg,
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}
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if cfg["n_experts"] % cfg["groups"] != 0 or cfg["top_k"] > cfg["n_experts"]:
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continue
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grid.append(cfg)
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if args.include_mixtral_long:
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base_cfg = ARCHETYPES[0][1]
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for batch, seq_len in MIXTRAL_LONG_SHAPES:
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grid.append(
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{
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"label": "mixtral_long",
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"batch": batch,
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"seq_len": seq_len,
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**base_cfg,
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}
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)
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if not grid:
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raise SystemExit("No valid parameter combinations produced")
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header = (
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"model",
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"batch",
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"seq_len",
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"hidden_size",
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"moe_intermediate",
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"n_experts",
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"top_k",
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"groups",
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"backend",
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"baseline_ms",
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"patched_ms",
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"speedup",
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"baseline_vram_mib",
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"patched_vram_mib",
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"min_tokens",
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"max_tokens",
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"max_diff",
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"accuracy_ok",
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)
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rows = []
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uniform_flag = not args.no_uniform_routing
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print(
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f"Running sweep on device={args.device} dtype={args.dtype} backends={BACKENDS} uniform_routing={uniform_flag}"
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)
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print(
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f"{'model':>10} {'batch':>5} {'seq':>5} {'hidden':>7} {'experts':>7} {'topk':>4} {'groups':>6} {'backend':>8}"
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f" {'baseline':>12} {'patched':>12} {'speedup':>8} {'b_vram':>8} {'p_vram':>8} {'diff':>10} {'acc':>5}"
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)
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for cfg in grid:
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for backend in BACKENDS:
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ns = make_namespace(cfg, args, backend)
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result = benchmark_deepseek_v3(ns)
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baseline_vram_mib = (
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result["baseline_vram"] / (1024**2)
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if result["baseline_vram"] is not None
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else float("nan")
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)
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patched_vram_mib = (
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result["patched_vram"] / (1024**2)
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if result["patched_vram"] is not None
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else float("nan")
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)
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rows.append(
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(
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cfg["label"],
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cfg["batch"],
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cfg["seq_len"],
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cfg["hidden_size"],
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cfg["moe_intermediate_size"],
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cfg["n_experts"],
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cfg["top_k"],
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cfg["groups"],
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backend,
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result["baseline_ms"],
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result["patched_ms"],
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result["speedup"],
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baseline_vram_mib,
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patched_vram_mib,
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result["min_tokens"],
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result["max_tokens"],
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result["max_diff"],
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result["accuracy_ok"],
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)
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)
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status = "OK" if result["accuracy_ok"] else "FAIL"
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print(
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f"{cfg['label']:>10} {cfg['batch']:>5} {cfg['seq_len']:>5} {cfg['hidden_size']:>7} {cfg['n_experts']:>7} {cfg['top_k']:>4} {cfg['groups']:>6} {backend:>8}"
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f" {result['baseline_ms']:>11.3f} ms {result['patched_ms']:>11.3f} ms {result['speedup']:>7.2f}x"
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f" {baseline_vram_mib:>8.1f} {patched_vram_mib:>8.1f} {result['max_diff']:>10.3e} {status:>5}"
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)
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if not result["accuracy_ok"]:
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LOG.warning(
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"Accuracy tolerance exceeded for %s backend=%s: diff=%.3e (> %.1e)",
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cfg["label"],
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backend,
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result["max_diff"],
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ACCURACY_TOLERANCE,
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)
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if args.output:
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args.output.parent.mkdir(parents=True, exist_ok=True)
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with args.output.open("w", newline="") as fp:
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writer = csv.writer(fp)
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writer.writerow(header)
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writer.writerows(rows)
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print(f"Results written to {args.output}")
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if __name__ == "__main__":
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main()
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