1/*
2 * Copyright (c) Facebook, Inc. and its affiliates.
3 * All rights reserved.
4 *
5 * This source code is licensed under the BSD-style license found in the
6 * LICENSE file in the root directory of this source tree.
7 */
8
9#include <assert.h>
10#include <math.h>
11#include <stddef.h>
12#include <stdint.h>
13#include <stdlib.h>
14
15#include <qnnpack.h>
16#include <qnnpack/operator.h>
17#include <qnnpack/log.h>
18
19
20enum qnnp_status qnnp_create_sigmoid_nc_q8(
21 size_t channels,
22 uint8_t input_zero_point,
23 float input_scale,
24 uint8_t output_zero_point,
25 float output_scale,
26 uint8_t output_min,
27 uint8_t output_max,
28 uint32_t flags,
29 qnnp_operator_t* sigmoid_out)
30{
31 qnnp_operator_t sigmoid_op = NULL;
32 enum qnnp_status status = qnnp_status_uninitialized;
33
34 if (!qnnp_params.initialized) {
35 qnnp_log_error("qnnp_create_sigmoid_nc_q8 failed because QNNPACK is not properly initialized");
36 goto error;
37 }
38
39 status = qnnp_status_invalid_parameter;
40
41 if (channels == 0) {
42 qnnp_log_error(
43 "failed to create Sigmoid operator with %zu channels: number of channels must be non-zero", channels);
44 goto error;
45 }
46
47 if (input_scale <= 0.0f || !isnormal(input_scale)) {
48 qnnp_log_error(
49 "failed to create Sigmoid operator with %.7g input scale: scale must be finite and positive", input_scale);
50 goto error;
51 }
52
53 if (output_scale <= 0.0f || !isnormal(output_scale)) {
54 qnnp_log_error(
55 "failed to create Sigmoid operator with %.7g output scale: scale must be finite and positive", output_scale);
56 goto error;
57 }
58
59 if (output_min >= output_max) {
60 qnnp_log_error(
61 "failed to create Sigmoid operator with [%" PRIu8 ", %" PRIu8 "] output range: range min must be below range max",
62 output_min, output_max);
63 goto error;
64 }
65
66 status = qnnp_status_unsupported_parameter;
67
68 if (output_scale != 0x1.0p-8f) {
69 qnnp_log_error(
70 "failed to create Sigmoid operator with %.7g output scale: only output scale of 1/256 is supported",
71 output_scale);
72 goto error;
73 }
74
75 if (output_zero_point != 0) {
76 qnnp_log_error(
77 "failed to create Sigmoid operator with %" PRIu8 " output zero point: only output zero point of 0 is supported",
78 output_zero_point);
79 goto error;
80 }
81
82 status = qnnp_status_out_of_memory;
83
84 sigmoid_op = calloc(1, sizeof(struct qnnp_operator));
85 if (sigmoid_op == NULL) {
86 qnnp_log_error("failed to allocate %zu bytes for qnnp_operator structure", sizeof(struct qnnp_operator));
87 goto error;
88 }
89
90 sigmoid_op->lookup_table = malloc(256 * sizeof(uint8_t));
91 if (sigmoid_op->lookup_table == NULL) {
92 qnnp_log_error("failed to allocate 256 bytes for Sigmoid lookup table");
93 goto error;
94 }
95
96 uint8_t* lookup_table = sigmoid_op->lookup_table;
97 const float scaled_min = (float) (int32_t) output_min;
98 const float scaled_max = (float) (int32_t) output_max;
99 for (int32_t i = 0; i < 256; i++) {
100 const float x = input_scale * (float) (i - (int32_t) (uint32_t) input_zero_point);
101 /* Scale sigmoid(x) by 1 / output scale = 256.0 */
102 float scaled_sigmoid_x = 256.0f / (1.0f + expf(-x));
103 if (scaled_sigmoid_x < scaled_min) {
104 scaled_sigmoid_x = scaled_min;
105 }
106 if (scaled_sigmoid_x > scaled_max) {
107 scaled_sigmoid_x = scaled_max;
108 }
109 lookup_table[(uint32_t) i] = (uint8_t) lrintf(scaled_sigmoid_x);
110 }
111
112 sigmoid_op->channels = channels;
113
114 sigmoid_op->ukernel_type = qnnp_ukernel_type_lut;
115 sigmoid_op->format = qnnp_format_quint8;
116
117 *sigmoid_out = sigmoid_op;
118 return qnnp_status_success;
119
120error:
121 qnnp_delete_operator(sigmoid_op);
122 return status;
123}
124
125enum qnnp_status qnnp_setup_sigmoid_nc_q8(
126 qnnp_operator_t sigmoid,
127 size_t batch_size,
128 const uint8_t* input,
129 size_t input_stride,
130 uint8_t* output,
131 size_t output_stride)
132{
133 if (!qnnp_params.initialized) {
134 qnnp_log_error("qnnp_setup_sigmoid_nc_q8 failed because QNNPACK is not properly initialized");
135 return qnnp_status_uninitialized;
136 }
137
138 if (batch_size == 0) {
139 sigmoid->batch_size = 0;
140 return qnnp_status_success;
141 }
142
143 sigmoid->batch_size = batch_size;
144 sigmoid->input = input;
145 sigmoid->input_pixel_stride = input_stride;
146 sigmoid->output = output;
147 sigmoid->output_pixel_stride = output_stride;
148
149 return qnnp_status_success;
150}
151