1 /*
2 * Copyright (c) 2020 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
25 #include "arm_compute/core/Helpers.h"
26 #include "arm_compute/core/Window.h"
27 #include "src/core/NEON/NEAsymm.h"
28 #include "src/core/NEON/NEMath.h"
29 #include "src/core/NEON/wrapper/wrapper.h"
30 #include "src/core/common/StdTypes.h"
31 #include "src/core/common/Validate.h"
32
33 #include <arm_neon.h>
34 #include <cmath>
35 #include <cstddef>
36
37 namespace arm_compute
38 {
39 namespace cpu
40 {
qasymm8_neon_activation(const ITensor * src,ITensor * dst,const ActivationLayerInfo & act_info,const Window & window)41 void qasymm8_neon_activation(const ITensor *src, ITensor *dst, const ActivationLayerInfo &act_info, const Window &window)
42 {
43 constexpr int window_step_x = 16;
44 const auto window_start_x = static_cast<int>(window.x().start());
45 const auto window_end_x = static_cast<int>(window.x().end());
46 const ActivationLayerInfo::ActivationFunction act = act_info.activation();
47
48 Window win_collapsed = window.collapse_if_possible(window, Window::DimZ);
49 win_collapsed.set(Window::DimX, Window::Dimension(0, 1, 1));
50
51 Iterator input(src, win_collapsed);
52 Iterator output(dst, win_collapsed);
53
54 const UniformQuantizationInfo qi_in = src->info()->quantization_info().uniform();
55 const UniformQuantizationInfo qi_out = dst->info()->quantization_info().uniform();
56 const qasymm8x16_t va = vdupq_n_u8(quantize_qasymm8(act_info.a(), qi_in));
57 const qasymm8x16_t vb = vdupq_n_u8(quantize_qasymm8(act_info.b(), qi_in));
58 const qasymm8_t a = quantize_qasymm8(act_info.a(), qi_in);
59 const qasymm8_t b = quantize_qasymm8(act_info.b(), qi_in);
60 const qasymm8_t const_0 = quantize_qasymm8(0.f, qi_in);
61 const qasymm8x16_t vconst_0 = vdupq_n_u8(const_0);
62 const auto vconst_1 = vdupq_n_f32(1.f);
63 const float32x4_t va_f32 = vdupq_n_f32(act_info.a());
64 const float32x4_t vb_f32 = vdupq_n_f32(act_info.b());
65 const float a_f32 = act_info.a();
66 const float b_f32 = act_info.b();
67 const auto const_6_f32 = vdupq_n_f32(6.f);
68 const auto const_0_f32 = vdupq_n_f32(0.f);
69 const auto const_3_f32 = vdupq_n_f32(3.f);
70 const auto const_inv_6_f32 = vdupq_n_f32(0.166666667f);
71
72 // Initialise scale/offset for re-quantization
73 float s = qi_in.scale / qi_out.scale;
74 float o = -qi_in.offset * s + qi_out.offset;
75 float32x4_t vs = vdupq_n_f32(s);
76 float32x4_t vo = vdupq_n_f32(o);
77
78 execute_window_loop(win_collapsed, [&](const Coordinates &)
79 {
80 const auto input_ptr = reinterpret_cast<const qasymm8_t *>(input.ptr());
81 const auto output_ptr = reinterpret_cast<qasymm8_t *>(output.ptr());
82
83 wrapper::traits::neon_bitvector_t<qasymm8_t, wrapper::traits::BitWidth::W128> tmp;
84
85 // Compute S elements per iteration
86 int x = window_start_x;
87 for(; x <= (window_end_x - window_step_x); x += window_step_x)
88 {
89 const auto vin = wrapper::vloadq(input_ptr + x);
90 if(act == ActivationLayerInfo::ActivationFunction::RELU)
91 {
92 // Perform activation
93 tmp = vmaxq_u8(vconst_0, vin);
94 // Re-quantize to new output space
95 tmp = vmlaq_qasymm8(tmp, vs, vo);
96 }
97 else if(act == ActivationLayerInfo::ActivationFunction::BOUNDED_RELU)
98 {
99 // Perform activation
100 tmp = vminq_u8(va, vmaxq_u8(vconst_0, vin));
101 // Re-quantize to new output space
102 tmp = vmlaq_qasymm8(tmp, vs, vo);
103 }
104 else if(act == ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU)
105 {
106 // Perform activation
107 tmp = vminq_u8(va, vmaxq_u8(vb, vin));
108 // Re-quantize to new output space
109 tmp = vmlaq_qasymm8(tmp, vs, vo);
110 }
111 else if(act == ActivationLayerInfo::ActivationFunction::LOGISTIC)
112 {
113 // De-quantize
114 const auto vin_deq = vdequantize(vin, qi_in);
115 // Perform activation
116 const float32x4x4_t tmp_dep =
117 {
118 {
119 wrapper::vdiv(vconst_1, wrapper::vadd(vconst_1, wrapper::vexpq(wrapper::vneg(vin_deq.val[0])))),
120 wrapper::vdiv(vconst_1, wrapper::vadd(vconst_1, wrapper::vexpq(wrapper::vneg(vin_deq.val[1])))),
121 wrapper::vdiv(vconst_1, wrapper::vadd(vconst_1, wrapper::vexpq(wrapper::vneg(vin_deq.val[2])))),
122 wrapper::vdiv(vconst_1, wrapper::vadd(vconst_1, wrapper::vexpq(wrapper::vneg(vin_deq.val[3])))),
123 }
124 };
125 // Re-quantize to new output space
126 tmp = vquantize(tmp_dep, qi_out);
127 }
128 else if(act == ActivationLayerInfo::ActivationFunction::TANH)
129 {
130 // De-quantize
131 const auto vin_deq = vdequantize(vin, qi_in);
132 // Perform activation
133 const float32x4x4_t tmp_dep =
134 {
135 {
136 wrapper::vmul(va_f32, wrapper::vtanh(wrapper::vmul(vin_deq.val[0], vb_f32))),
137 wrapper::vmul(va_f32, wrapper::vtanh(wrapper::vmul(vin_deq.val[1], vb_f32))),
138 wrapper::vmul(va_f32, wrapper::vtanh(wrapper::vmul(vin_deq.val[2], vb_f32))),
139 wrapper::vmul(va_f32, wrapper::vtanh(wrapper::vmul(vin_deq.val[3], vb_f32))),
140 }
141 };
142 // Re-quantize to new output space
143 tmp = vquantize(tmp_dep, qi_out);
144 }
145 else if(act == ActivationLayerInfo::ActivationFunction::HARD_SWISH)
146 {
147 // De-quantize
148 const auto vin_deq = vdequantize(vin, qi_in);
149 // Perform activation
150 const float32x4x4_t tmp_dep =
151 {
152 {
153 wrapper::vmul(vin_deq.val[0], wrapper::vmul(const_inv_6_f32, wrapper::vmin(const_6_f32, wrapper::vmax(const_0_f32, wrapper::vadd(vin_deq.val[0], const_3_f32))))),
154 wrapper::vmul(vin_deq.val[1], wrapper::vmul(const_inv_6_f32, wrapper::vmin(const_6_f32, wrapper::vmax(const_0_f32, wrapper::vadd(vin_deq.val[1], const_3_f32))))),
155 wrapper::vmul(vin_deq.val[2], wrapper::vmul(const_inv_6_f32, wrapper::vmin(const_6_f32, wrapper::vmax(const_0_f32, wrapper::vadd(vin_deq.val[2], const_3_f32))))),
156 wrapper::vmul(vin_deq.val[3], wrapper::vmul(const_inv_6_f32, wrapper::vmin(const_6_f32, wrapper::vmax(const_0_f32, wrapper::vadd(vin_deq.val[3], const_3_f32))))),
157 }
158 };
159 // Re-quantize to new output space
160 tmp = vquantize(tmp_dep, qi_out);
161 }
162 else
163 {
164 ARM_COMPUTE_ERROR("Unsupported activation function");
165 }
166 wrapper::vstore(output_ptr + x, tmp);
167 }
168
169 // Compute left-over elements
170 for(; x < window_end_x; ++x)
171 {
172 qasymm8_t in = *(reinterpret_cast<const qasymm8_t *>(input_ptr + x));
173 qasymm8_t tmp = 0;
174 if(act == ActivationLayerInfo::ActivationFunction::RELU)
175 {
176 tmp = std::max(const_0, in);
177 tmp = utility::clamp<int32_t, qasymm8_t>(tmp * s + o);
178 }
179 else if(act == ActivationLayerInfo::ActivationFunction::BOUNDED_RELU)
180 {
181 tmp = std::min(a, std::max(const_0, in));
182 tmp = utility::clamp<int32_t, qasymm8_t>(tmp * s + o);
183 }
184 else if(act == ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU)
185 {
186 tmp = std::min(a, std::max(b, in));
187 tmp = utility::clamp<int32_t, qasymm8_t>(tmp * s + o);
188 }
189 else if(act == ActivationLayerInfo::ActivationFunction::LOGISTIC)
190 {
191 float tmp_f = dequantize_qasymm8(in, qi_in);
192 tmp_f = 1.f / (1.f + std::exp(-tmp_f));
193 tmp = quantize_qasymm8(tmp_f, qi_out);
194 }
195 else if(act == ActivationLayerInfo::ActivationFunction::TANH)
196 {
197 float tmp_f = dequantize_qasymm8(in, qi_in);
198 tmp_f = a_f32 * std::tanh(b_f32 * tmp_f);
199 tmp = quantize_qasymm8(tmp_f, qi_out);
200 }
201 else if(act == ActivationLayerInfo::ActivationFunction::HARD_SWISH)
202 {
203 float tmp_f = dequantize_qasymm8(in, qi_in);
204 tmp_f = tmp_f * ((std::min(std::max((tmp_f + 3), 0.0f), 6.0f)) * 0.166666667f);
205 tmp = quantize_qasymm8(tmp_f, qi_out);
206 }
207 else
208 {
209 ARM_COMPUTE_ERROR("Unsupported activation function");
210 }
211 *(output_ptr + x) = tmp;
212 }
213 },
214 input, output);
215 }
216 } // namespace cpu
217 } // namespace arm_compute
218