#!/usr/bin/env python3 """NumPy 反量化器 vs ggml 自帶反量化器的逐位元組交叉檢查。 `ggml_deq ` 用 ggml 的 dequantize_row_* 傾印一列; 本腳本把它與 verify_epq.py 使用的 NumPy 實作比對。 """ import importlib.util import os import subprocess import sys import numpy as np _HERE = os.path.dirname(os.path.abspath(__file__)) spec = importlib.util.spec_from_file_location('vl', os.path.join(_HERE, 'verify_epq.py')) vl = importlib.util.module_from_spec(spec) spec.loader.exec_module(vl) GGML_DEQ = os.environ.get( 'EPQ_GGML_DEQ', os.path.join(_HERE, '..', 'llama.cpp', 'build', 'bin', 'ggml_deq')) def main(): kv, ts = vl.parse_headers() # openPangu Q3_K_M:gate/up 為 Q3_K,down 為 Q4_K。 cases = [] for il in (2, 5, 20, 45): for name in ('ffn_gate_exps.weight', 'ffn_up_exps.weight', 'ffn_down_exps.weight'): cases.append((il, name, ts[f'blk.{il}.{name}'][3])) all_ok = True for il, name, tt in cases: si, off, dims, t = ts[f'blk.{il}.{name}'] assert t == tt, (name, t, tt) nrow = vl.row_bytes(dims[0], tt) ne0 = dims[0] for ie in (0, 17, 255): eo = off + ie * nrow * dims[1] out = subprocess.run([GGML_DEQ, str(tt), vl.SHARDS[si], str(eo), str(ne0)], capture_output=True, check=True) ref = np.frombuffer(out.stdout, dtype=np.float32) with open(vl.SHARDS[si], 'rb') as f: f.seek(eo) mine = vl.dequant(f.read(nrow), ne0, tt) d = float(np.abs(ref - mine).max()) ok = d == 0.0 all_ok &= ok print(f'blk.{il}.{name} E{ie} type={vl.NAME.get(tt)} n={ne0}: ' f'max|ggml - numpy| = {d:g} {"PASS" if ok else "FAIL"}') print('\nALL PASS' if all_ok else '\nSOME FAILED') return 0 if all_ok else 1 if __name__ == '__main__': sys.exit(main())