1 /*
2 * Copyright (c) 2021 Arm Limited.
3 *
4 * SPDX-License-Identifier: MIT
5 *
6 * Permission is hereby granted, free of charge, to any person obtaining a copy
7 * of this software and associated documentation files (the "Software"), to
8 * deal in the Software without restriction, including without limitation the
9 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
10 * sell copies of the Software, and to permit persons to whom the Software is
11 * furnished to do so, subject to the following conditions:
12 *
13 * The above copyright notice and this permission notice shall be included in all
14 * copies or substantial portions of the Software.
15 *
16 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
17 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
18 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
19 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
20 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
21 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
22 * SOFTWARE.
23 */
24 #include "arm_compute/core/Helpers.h"
25 #include "arm_compute/core/ITensor.h"
26 #include "arm_compute/core/Types.h"
27 #include "arm_compute/core/utils/misc/Traits.h"
28 #include "src/core/NEON/wrapper/intrinsics/intrinsics.h"
29 #include "src/core/helpers/WindowHelpers.h"
30
31 namespace arm_compute
32 {
33 namespace cpu
34 {
sub_qsymm16_neon(const ITensor * src0,const ITensor * src1,ITensor * dst,const ConvertPolicy & policy,const Window & window)35 void sub_qsymm16_neon(const ITensor *src0, const ITensor *src1, ITensor *dst, const ConvertPolicy &policy, const Window &window)
36 {
37 ARM_COMPUTE_UNUSED(policy);
38
39 // Create input windows
40 Window input1_win = window.broadcast_if_dimension_le_one(src0->info()->tensor_shape());
41 Window input2_win = window.broadcast_if_dimension_le_one(src1->info()->tensor_shape());
42
43 // Clear X Dimension on execution window as we handle manually
44 Window win = window;
45 win.set(Window::DimX, Window::Dimension(0, 1, 1));
46
47 const int window_step_x = 8;
48 const auto window_start_x = static_cast<int>(window.x().start());
49 const auto window_end_x = static_cast<int>(window.x().end());
50 const bool is_broadcast_across_x = src0->info()->tensor_shape().x() != src1->info()->tensor_shape().x();
51
52 const UniformQuantizationInfo iq1_info = src0->info()->quantization_info().uniform();
53 const UniformQuantizationInfo iq2_info = src1->info()->quantization_info().uniform();
54 const UniformQuantizationInfo oq_info = dst->info()->quantization_info().uniform();
55
56 const float32x4_t vscale1 = vdupq_n_f32(iq1_info.scale);
57 const float32x4_t vscale2 = vdupq_n_f32(iq2_info.scale);
58 const float32x4_t invvscaleo = vdupq_n_f32(1.f / oq_info.scale);
59
60 if(is_broadcast_across_x)
61 {
62 const bool is_broadcast_input_2 = input2_win.x().step() == 0;
63 Window broadcast_win = is_broadcast_input_2 ? input2_win : input1_win;
64 Window non_broadcast_win = !is_broadcast_input_2 ? input2_win : input1_win;
65 const ITensor *broadcast_tensor = is_broadcast_input_2 ? src1 : src0;
66 const ITensor *non_broadcast_tensor = !is_broadcast_input_2 ? src1 : src0;
67 const UniformQuantizationInfo broadcast_qinfo = broadcast_tensor->info()->quantization_info().uniform();
68 const UniformQuantizationInfo non_broadcast_qinfo = non_broadcast_tensor->info()->quantization_info().uniform();
69
70 // Clear X Dimension on execution window as we handle manually
71 non_broadcast_win.set(Window::DimX, Window::Dimension(0, 1, 1));
72
73 Iterator broadcast_input(broadcast_tensor, broadcast_win);
74 Iterator non_broadcast_input(non_broadcast_tensor, non_broadcast_win);
75 Iterator output(dst, win);
76
77 execute_window_loop(win, [&](const Coordinates &)
78 {
79 const auto non_broadcast_input_ptr = reinterpret_cast<const int16_t *>(non_broadcast_input.ptr());
80 const auto output_ptr = reinterpret_cast<int16_t *>(output.ptr());
81
82 const int16_t broadcast_value = *reinterpret_cast<const int16_t *>(broadcast_input.ptr());
83 const int16x8_t broadcast_value_vec = vdupq_n_s16(broadcast_value);
84
85 const float32x4x2_t bf =
86 {
87 {
88 vmulq_f32(vcvtq_f32_s32(vmovl_s16(vget_low_s16(broadcast_value_vec))), vscale2),
89 vmulq_f32(vcvtq_f32_s32(vmovl_s16(vget_high_s16(broadcast_value_vec))), vscale2),
90 }
91 };
92 const float bfs = static_cast<int32_t>(broadcast_value) * broadcast_qinfo.scale;
93
94 // Compute S elements per iteration
95 int x = window_start_x;
96 for(; x <= (window_end_x - window_step_x); x += window_step_x)
97 {
98 const int16x8_t a = vld1q_s16(non_broadcast_input_ptr + x);
99 const float32x4x2_t af =
100 {
101 {
102 vmulq_f32(vcvtq_f32_s32(vmovl_s16(vget_low_s16(a))), vscale1),
103 vmulq_f32(vcvtq_f32_s32(vmovl_s16(vget_high_s16(a))), vscale1),
104 }
105 };
106
107 const int32x4x4_t rf =
108 {
109 {
110 #ifdef __aarch64__
111 vcvtnq_s32_f32(vmulq_f32(is_broadcast_input_2 ? vsubq_f32(bf.val[0], af.val[0]) : vsubq_f32(af.val[0], bf.val[0]), invvscaleo)),
112 vcvtnq_s32_f32(vmulq_f32(is_broadcast_input_2 ? vsubq_f32(bf.val[1], af.val[1]) : vsubq_f32(af.val[1], bf.val[1]), invvscaleo)),
113 #else //__aarch64__
114 vcvtq_s32_f32(vmulq_f32(is_broadcast_input_2 ? vsubq_f32(bf.val[0], af.val[0]) : vsubq_f32(af.val[0], bf.val[0]), invvscaleo)),
115 vcvtq_s32_f32(vmulq_f32(is_broadcast_input_2 ? vsubq_f32(bf.val[1], af.val[1]) : vsubq_f32(af.val[1], bf.val[1]), invvscaleo)),
116 #endif //__aarch64__
117 }
118 };
119
120 const int16x8_t pa = vcombine_s16(vqmovn_s32(rf.val[0]), vqmovn_s32(rf.val[1]));
121 vst1q_s16(output_ptr + x, pa);
122 }
123
124 // Compute left-over elements
125 for(; x < window_end_x; ++x)
126 {
127 const float afs = static_cast<int32_t>(*(non_broadcast_input_ptr + x)) * non_broadcast_qinfo.scale;
128 *(output_ptr + x) = quantize_qsymm16(is_broadcast_input_2 ? (bfs - afs) : (afs - bfs), oq_info);
129 }
130 },
131 broadcast_input, non_broadcast_input, output);
132 }
133 else
134 {
135 // Clear X Dimension on execution window as we handle manually
136 input1_win.set(Window::DimX, Window::Dimension(0, 1, 1));
137 input2_win.set(Window::DimX, Window::Dimension(0, 1, 1));
138
139 Iterator input1(src0, input1_win);
140 Iterator input2(src1, input2_win);
141 Iterator output(dst, win);
142
143 execute_window_loop(win, [&](const Coordinates &)
144 {
145 const auto input1_ptr = reinterpret_cast<const int16_t *>(input1.ptr());
146 const auto input2_ptr = reinterpret_cast<const int16_t *>(input2.ptr());
147 const auto output_ptr = reinterpret_cast<int16_t *>(output.ptr());
148
149 // Compute S elements per iteration
150 int x = window_start_x;
151 for(; x <= (window_end_x - window_step_x); x += window_step_x)
152 {
153 const int16x8_t a = vld1q_s16(input1_ptr + x);
154 const int16x8_t b = vld1q_s16(input2_ptr + x);
155
156 const float32x4x2_t af =
157 {
158 {
159 vmulq_f32(vcvtq_f32_s32(vmovl_s16(vget_low_s16(a))), vscale1),
160 vmulq_f32(vcvtq_f32_s32(vmovl_s16(vget_high_s16(a))), vscale1),
161 }
162 };
163
164 const float32x4x2_t bf =
165 {
166 {
167 vmulq_f32(vcvtq_f32_s32(vmovl_s16(vget_low_s16(b))), vscale2),
168 vmulq_f32(vcvtq_f32_s32(vmovl_s16(vget_high_s16(b))), vscale2),
169 }
170 };
171
172 const int32x4x2_t rf =
173 {
174 {
175 #ifdef __aarch64__
176 vcvtnq_s32_f32(vmulq_f32(vsubq_f32(af.val[0], bf.val[0]), invvscaleo)),
177 vcvtnq_s32_f32(vmulq_f32(vsubq_f32(af.val[1], bf.val[1]), invvscaleo)),
178 #else //__aarch64__
179 vcvtq_s32_f32(vmulq_f32(vsubq_f32(af.val[0], bf.val[0]), invvscaleo)),
180 vcvtq_s32_f32(vmulq_f32(vsubq_f32(af.val[1], bf.val[1]), invvscaleo)),
181 #endif //__aarch64__
182 }
183 };
184
185 const int16x8_t pa = vcombine_s16(vqmovn_s32(rf.val[0]), vqmovn_s32(rf.val[1]));
186 vst1q_s16(output_ptr + x, pa);
187 }
188
189 // Compute left-over elements
190 for(; x < window_end_x; ++x)
191 {
192 const float afs = static_cast<int32_t>((*(input1_ptr + x))) * iq1_info.scale;
193 const float bfs = static_cast<int32_t>((*(input2_ptr + x))) * iq2_info.scale;
194 *(output_ptr + x) = quantize_qsymm16((afs - bfs), dst->info()->quantization_info());
195 }
196 },
197 input1, input2, output);
198 }
199 }
200 } // namespace cpu
201 } // namespace arm_compute