Open cdliang11 opened 4 months ago
输出相差了一点点点点,这属于计算精度误差了
$ python model.trace_pnnx.py
tensor([[ 0.1400, -0.2828, -0.5181, 0.2307, 0.3460, 0.0774, -0.6353, -0.1958,
0.1738, -0.3608, 0.5223, 0.1877, -0.1621, 0.1208, -0.2258, -0.1601,
-0.0332, -0.0391, -0.3655, -0.1871, -0.0534, -0.2243, 0.3133, 0.1827,
0.1061, -0.0615, 0.4327, -0.0981, -0.2923, -0.2476, -0.2380, 0.1585,
-0.2637, 0.1604, -0.0508, -0.0714, -0.5845, 0.0253, -0.3980, 0.2251,
0.0287, 0.0060, -0.0300, 0.0634, 0.6234, 0.1347, 0.3988, -0.2168,
-0.0460, 0.6531, -0.2854, 0.0215, -0.1211, -0.0854, -0.2077, 0.0290,
-0.1103, -0.1300, 0.0507, 0.2635, 0.3082, 0.6101, -0.1766, -0.1702,
-0.1246, 0.4763, 0.2022, -0.4359, 0.3345, 0.1708, 0.0810, -0.1107,
-0.1019, 0.1704, -0.1785, -0.1499, 0.1907, -0.0405, 0.1474, -0.1338,
-0.2929, 0.2653, -0.1808, 0.3689, 0.4634, 0.0135, 0.4080, -0.0670,
-0.1374, 0.1871, 0.1488, 0.1941, -0.0196, -0.2058, -0.3350, 0.1387,
-0.0067, 0.2233, -0.0132, -0.1989, -0.0658, -0.2675, -0.1168, -0.1815,
0.1731, 0.3961, -0.2183, 0.1531, -0.2926, 0.1886, 0.1728, -0.3310,
-0.2079, 0.0906, -0.3737, -0.1360, 0.0023, -0.1594, -0.0015, 0.1914,
0.0472, -0.1435, -0.2768, 0.0383, -0.2562, 0.3639, 0.0981, 0.0953,
-0.1279, -0.2075, 0.0585, 0.0861, -0.2153, -0.0496, -0.1966, 0.0258,
-0.1812, 0.2504, 0.2900, 0.6274, 0.0266, -0.1886, -0.5782, -0.1856,
-0.3242, -0.3501, 0.0114, 0.0349, 0.1965, -0.4656, -0.1816, 0.2732,
0.2555, -0.1971, -0.2233, 0.0791, -0.1702, -0.4078, 0.2046, -0.5315,
0.1236, -0.1611, 0.3585, -0.0098, -0.0929, -0.2805, -0.1557, -0.1550,
0.1120, -0.2177, -0.3681, 0.0665, -0.1866, -0.1149, 0.0270, -0.0657,
0.2268, 0.1242, 0.0178, 0.0139, -0.1057, -0.0923, -0.0042, -0.3168,
0.0623, 0.4113, 0.2128, -0.1400, 0.4844, 0.0825, -0.2412, -0.1169]],
grad_fn=<AddmmBackward0>)
$ python model.trace_ncnn.py
tensor([[ 0.1371, -0.2848, -0.5198, 0.2269, 0.3462, 0.0772, -0.6329, -0.1968,
0.1769, -0.3590, 0.5221, 0.1877, -0.1586, 0.1209, -0.2247, -0.1585,
-0.0346, -0.0390, -0.3672, -0.1852, -0.0543, -0.2275, 0.3149, 0.1836,
0.1058, -0.0609, 0.4354, -0.0967, -0.2896, -0.2464, -0.2383, 0.1582,
-0.2640, 0.1595, -0.0488, -0.0737, -0.5866, 0.0252, -0.3971, 0.2250,
0.0305, 0.0064, -0.0324, 0.0652, 0.6223, 0.1339, 0.3989, -0.2176,
-0.0451, 0.6506, -0.2841, 0.0227, -0.1209, -0.0862, -0.2075, 0.0258,
-0.1110, -0.1296, 0.0518, 0.2613, 0.3066, 0.6104, -0.1778, -0.1723,
-0.1245, 0.4752, 0.2035, -0.4364, 0.3353, 0.1685, 0.0800, -0.1085,
-0.1026, 0.1649, -0.1793, -0.1479, 0.1923, -0.0388, 0.1465, -0.1330,
-0.2922, 0.2659, -0.1829, 0.3662, 0.4643, 0.0128, 0.4088, -0.0655,
-0.1377, 0.1870, 0.1475, 0.1973, -0.0193, -0.2070, -0.3344, 0.1375,
-0.0049, 0.2222, -0.0130, -0.1970, -0.0688, -0.2658, -0.1176, -0.1812,
0.1722, 0.3953, -0.2151, 0.1506, -0.2935, 0.1921, 0.1718, -0.3322,
-0.2096, 0.0899, -0.3719, -0.1362, 0.0039, -0.1602, 0.0013, 0.1919,
0.0451, -0.1426, -0.2742, 0.0406, -0.2549, 0.3642, 0.0979, 0.0947,
-0.1268, -0.2079, 0.0608, 0.0876, -0.2172, -0.0494, -0.1987, 0.0238,
-0.1812, 0.2502, 0.2886, 0.6268, 0.0262, -0.1877, -0.5772, -0.1860,
-0.3232, -0.3521, 0.0103, 0.0332, 0.1984, -0.4655, -0.1832, 0.2703,
0.2558, -0.1984, -0.2231, 0.0786, -0.1716, -0.4097, 0.2049, -0.5301,
0.1247, -0.1590, 0.3614, -0.0090, -0.0922, -0.2836, -0.1541, -0.1544,
0.1119, -0.2168, -0.3667, 0.0669, -0.1876, -0.1150, 0.0287, -0.0656,
0.2287, 0.1224, 0.0184, 0.0113, -0.1083, -0.0906, -0.0057, -0.3168,
0.0627, 0.4113, 0.2103, -0.1394, 0.4858, 0.0808, -0.2390, -0.1162]])
error log | 日志或报错信息 | ログ
model | 模型 | モデル
how to reproduce | 复现步骤 | 再現方法
转换之后,pnnx和ncnn的输出不一致,ncnn 和 pnnx版本是 20240410
ecapa_ncnn.zip 包含: model.trace_ncnn.py / model.trace.ncnn.bin / model.trace.ncnn.param
ecapa_pnnx.zip 包含: model.trace_pnnx.py / model.trace.pnnx.bin / model.trace.pnnx.param
ecapa_pnnx_onnx.zip 包含: model.trace.pnnx.onnx
求大佬们指点