1 /*
2  * SPDX-FileCopyrightText: Copyright 2022-2024 Arm Limited and/or its affiliates <open-source-office@arm.com>
3  *
4  * SPDX-License-Identifier: Apache-2.0
5  *
6  * Licensed under the Apache License, Version 2.0 (the License); you may
7  * not use this file except in compliance with the License.
8  * You may obtain a copy of the License at
9  *
10  * www.apache.org/licenses/LICENSE-2.0
11  *
12  * Unless required by applicable law or agreed to in writing, software
13  * distributed under the License is distributed on an AS IS BASIS, WITHOUT
14  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
15  * See the License for the specific language governing permissions and
16  * limitations under the License.
17  */
18 
19 /* ----------------------------------------------------------------------
20  * Project:      CMSIS NN Library
21  * Title:        arm_elementwise_mul_s16_s8.c
22  * Description:  Elementwise multiplication of 16 bit input with 8 bit output
23  *
24  * $Date:        20 January 2023
25  * $Revision:    V.2.0.0
26  *
27  * Target :  Arm(R) M-Profile Architecture
28  *
29  * -------------------------------------------------------------------- */
30 
31 #include "arm_nnsupportfunctions.h"
32 
33 /**
34  *  @ingroup groupSupport
35  */
36 
37 /**
38  * @addtogroup BasicMath
39  * @{
40  */
41 
42 /*
43  * s16 elementwise multiplication with s8 output
44  *
45  * Refer header file for details.
46  *
47  */
arm_elementwise_mul_s16_s8(const int16_t * input_1_vect,const int16_t * input_2_vect,int8_t * output,const int32_t out_offset,const int32_t out_mult,const int32_t out_shift,const int32_t block_size,const int32_t batch_size,const int32_t batch_offset)48 arm_cmsis_nn_status arm_elementwise_mul_s16_s8(const int16_t *input_1_vect,
49                                                const int16_t *input_2_vect,
50                                                int8_t *output,
51                                                const int32_t out_offset,
52                                                const int32_t out_mult,
53                                                const int32_t out_shift,
54                                                const int32_t block_size,
55                                                const int32_t batch_size,
56                                                const int32_t batch_offset)
57 {
58 
59     for (int i = 0; i < batch_size; i++)
60     {
61         int32_t loop_count = block_size;
62 #if defined(ARM_MATH_MVEI)
63 
64         const int16_t *input_1_ptr = input_1_vect;
65         const int16_t *input_2_ptr = input_2_vect;
66         int8_t *output_ptr = output;
67 
68         while (loop_count > 0)
69         {
70             mve_pred16_t pred = vctp32q(loop_count);
71 
72             int32x4_t input_1 = vldrhq_z_s32(input_1_ptr, pred);
73             int32x4_t input_2 = vldrhq_z_s32(input_2_ptr, pred);
74 
75             int32x4_t res_0 = vmulq_s32(input_1, input_2);
76 
77             res_0 = arm_requantize_mve_32x4(res_0, vdupq_n_s32(out_mult), vdupq_n_s32(out_shift));
78             res_0 = vaddq_n_s32(res_0, out_offset);
79 
80             res_0 = vmaxq_s32(res_0, vdupq_n_s32(NN_Q7_MIN));
81             res_0 = vminq_s32(res_0, vdupq_n_s32(NN_Q7_MAX));
82 
83             vstrbq_p_s32(output_ptr, res_0, pred);
84             input_1_ptr += 4;
85             input_2_ptr += 4;
86 
87             output_ptr += 4;
88             loop_count -= 4;
89         }
90 
91         input_1_vect += block_size;
92         input_2_vect += block_size;
93         output += block_size;
94 
95 #else
96     #if defined(ARM_MATH_DSP)
97 
98         while (loop_count > 1)
99         {
100             int32_t input_1 = arm_nn_read_q15x2_ia(&input_1_vect);
101             int32_t input_2 = arm_nn_read_q15x2_ia(&input_2_vect);
102 
103             int32_t mul_res = SMULBB(input_1, input_2);
104             mul_res = arm_nn_requantize(mul_res, out_mult, out_shift) + out_offset;
105             mul_res = CLAMP(mul_res, NN_Q7_MAX, NN_Q7_MIN);
106             int32_t mul = (int16_t)(mul_res & 0xFF);
107 
108             mul_res = SMULTT(input_1, input_2);
109             mul_res = arm_nn_requantize(mul_res, out_mult, out_shift) + out_offset;
110             mul_res = CLAMP(mul_res, NN_Q7_MAX, NN_Q7_MIN);
111             mul |= (int16_t)mul_res << 8;
112 
113             arm_nn_write_s8x2_ia(&output, mul);
114             loop_count -= 2;
115         }
116     #endif
117         for (int j = 0; j < loop_count; j++, input_1_vect++, input_2_vect++, output++)
118         {
119             /* C = A * B */
120             int32_t mul_res = (*input_1_vect) * (*input_2_vect);
121             mul_res = arm_nn_requantize(mul_res, out_mult, out_shift) + out_offset;
122 
123             mul_res = CLAMP(mul_res, NN_Q7_MAX, NN_Q7_MIN);
124 
125             *output = (int8_t)mul_res;
126         }
127 
128 #endif
129 
130         output += (batch_offset - 1) * block_size;
131     }
132     return ARM_CMSIS_NN_SUCCESS;
133 }
134 /**
135  * @} end of BasicMath group
136  */
137