模型压缩之8位量化——徒手造轮子
这里简单说明情况/流程即可，不再实际对模型进行压缩。
1-设定最大最小范围，将参数clip到此范围内；
2-采用255对参数进行最大最小值系数化处理；
3-数据格式转换为8位即可；
举例如下：
1-设定最大最小值为2，-2，然后对随机数进行clip
>>> xx
array([-0.03792056, -0.03543376, 2.11450531, -1.00187846, -1.6370846 ,
0.13144204, -1.14044352, -0.47598372, 0.48249807, 0.41293063,
0.50319045, -0.33351765, 1.99534621, 1.90570351, -0.07295837,
0.96069915, -0.82314341, -1.49708989, 1.25026652, -1.37752694,
-0.4253239 , -0.95655893, 0.92019954, 0.53596921, 1.64408076,
-1.0236392 , -0.16911002, -0.09163271, -0.25296542, 0.11552916,
0.91452231, 1.05104281, 0.22929848, 0.08540769, -0.70410114,
0.89512494, 2.4170672 , 2.17545606, 2.19707369, 1.43511977,
0.27938961, 0.15911593, -0.98390229, 0.44097581, -0.00609449,
-0.66568627, 1.02575084, 0.4165646 , -0.060003 , -0.52152193,
0.02118122, 0.96681046, -1.37796988, -0.69395938, -0.74742486,
-0.56772941, 0.21670969, -0.4735466 , 0.58769068, 0.23123573,
-0.42057946, 0.1423509 , -1.76617659, -0.44750992])
>>> xxc
array([-0.03792056, -0.03543376, 2. , -1.00187846, -1.6370846 ,
0.13144204, -1.14044352, -0.47598372, 0.48249807, 0.41293063,
0.50319045, -0.33351765, 1.99534621, 1.90570351, -0.07295837,
0.96069915, -0.82314341, -1.49708989, 1.25026652, -1.37752694,
-0.4253239 , -0.95655893, 0.92019954, 0.53596921, 1.64408076,
-1.0236392 , -0.16911002, -0.09163271, -0.25296542, 0.11552916,
0.91452231, 1.05104281, 0.22929848, 0.08540769, -0.70410114,
0.89512494, 2. , 2. , 2. , 1.43511977,
0.27938961, 0.15911593, -0.98390229, 0.44097581, -0.00609449,
-0.66568627, 1.02575084, 0.4165646 , -0.060003 , -0.52152193,
0.02118122, 0.96681046, -1.37796988, -0.69395938, -0.74742486,
-0.56772941, 0.21670969, -0.4735466 , 0.58769068, 0.23123573,
-0.42057946, 0.1423509 , -1.76617659, -0.44750992])2-用255对clip后的数据进行系数化处理
>>> xxcq
array([125.08256445, 125.24109803, 255. , 63.63024847,
23.13585678, 135.87943035, 54.79672542, 97.15603773,
158.25925223, 153.82432771, 159.57839132, 106.23824956,
254.70332079, 248.98859847, 122.84890363, 188.74457097,
75.02460772, 32.06051958, 207.20449052, 39.68265748,
100.38560141, 66.51936849, 186.16272094, 161.66803721,
232.31014875, 62.24300076, 116.7192365 , 121.65841478,
111.37345418, 134.86498408, 185.80079698, 194.50397909,
142.11777816, 132.94474001, 82.61355219, 184.56421515,
255. , 255. , 255. , 218.98888561,
145.31108735, 137.64364051, 64.77622883, 155.61220775,
127.11147656, 85.0625004 , 192.89161598, 154.05599334,
123.67480881, 94.25297671, 128.85030291, 189.13416688,
39.65442003, 83.26008966, 79.85166508, 91.30724993,
141.31524297, 97.31140419, 164.96528094, 142.24127778,
100.68805967, 136.57486981, 14.90624219, 98.97124266])3-格式转换，这个很简单
array([125, 125, 255, 63, 23, 135, 54, 97, 158, 153, 159, 106, 254,
248, 122, 188, 75, 32, 207, 39, 100, 66, 186, 161, 232, 62,
116, 121, 111, 134, 185, 194, 142, 132, 82, 184, 255, 255, 255,
218, 145, 137, 64, 155, 127, 85, 192, 154, 123, 94, 128, 189,
39, 83, 79, 91, 141, 97, 164, 142, 100, 136, 14, 98],
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