1 /**
2 * Copyright 2021 Huawei Technologies Co., Ltd
3 *
4 * Licensed under the Apache License, Version 2.0 (the "License");
5 * you may not use this file except in compliance with the License.
6 * You may obtain a copy of the License at
7 *
8 * http://www.apache.org/licenses/LICENSE-2.0
9 *
10 * Unless required by applicable law or agreed to in writing, software
11 * distributed under the License is distributed on an "AS IS" BASIS,
12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 * See the License for the specific language governing permissions and
14 * limitations under the License.
15 */
16
17 #include "wrapper/fp32/dequant_int8_to_fp32_wrapper.h"
18 #include <stdint.h>
19 #include <string.h>
DequantDataPerChannel(const int8_t * quant_src,const DeQuantArg ** de_quant_args,size_t de_quant_nums,size_t per_batch_size,float * de_quant_dst)20 void DequantDataPerChannel(const int8_t *quant_src, const DeQuantArg **de_quant_args, size_t de_quant_nums,
21 size_t per_batch_size, float *de_quant_dst) {
22 if (per_batch_size == 0) {
23 return;
24 }
25 size_t matrix_size = de_quant_nums / per_batch_size;
26 for (int i = 0; i < per_batch_size; i++) {
27 const DeQuantArg *de_quant_arg = de_quant_args[i];
28 float scale = de_quant_arg->scale;
29 int32_t zero_point = de_quant_arg->zeroPoint;
30 for (int j = 0; j < matrix_size; j++) {
31 de_quant_dst[i * matrix_size + j] = (quant_src[i * matrix_size + j] - zero_point) * scale;
32 }
33 }
34 }
35
DequantData(const int8_t * quant_src,const DeQuantArg ** de_quant_args,size_t de_quant_nums,size_t channels,float * de_quant_dst)36 void DequantData(const int8_t *quant_src, const DeQuantArg **de_quant_args, size_t de_quant_nums, size_t channels,
37 float *de_quant_dst) {
38 if (channels == 0) {
39 return;
40 }
41 size_t per_channel_size = de_quant_nums / channels;
42 for (size_t i = 0; i < channels; i++) {
43 const DeQuantArg *de_quant_arg = de_quant_args[i];
44 float scale = de_quant_arg->scale;
45 int32_t zero_point = de_quant_arg->zeroPoint;
46 float var_corr = de_quant_arg->var_corr;
47 float mean_corr = de_quant_arg->mean_corr;
48 if (var_corr < 0 || var_corr > 10) {
49 var_corr = 1;
50 }
51 for (size_t j = 0; j < per_channel_size; j++) {
52 float dequant_data = (quant_src[per_channel_size * i + j] - zero_point) * scale;
53 de_quant_dst[per_channel_size * i + j] = dequant_data * var_corr + mean_corr;
54 }
55 }
56 }
57
DequantDataPerTensor(const int8_t * quant_src,const DeQuantArg ** de_quant_args,size_t de_quant_nums,float * de_quant_dst)58 void DequantDataPerTensor(const int8_t *quant_src, const DeQuantArg **de_quant_args, size_t de_quant_nums,
59 float *de_quant_dst) {
60 const DeQuantArg *de_quant_arg = de_quant_args[0];
61 float *quant_clusters = de_quant_arg->clusters;
62 float scale = de_quant_arg->scale;
63 int32_t zero_point = de_quant_arg->zeroPoint;
64 for (int j = 0; j < de_quant_nums; j++) {
65 int8_t quant_data = quant_src[j];
66 if (quant_clusters != NULL) {
67 if (quant_data > INT8_MAX || quant_data < INT8_MIN) {
68 return;
69 }
70 de_quant_dst[j] = quant_clusters[quant_data - INT8_MIN];
71 } else {
72 de_quant_dst[j] = (quant_data - zero_point) * scale;
73 }
74 }
75 }
76