1 /*
2 * Copyright (c) 2023 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/experimental/Types.h"
25 #include "arm_compute/runtime/NEON/NEScheduler.h"
26
27 #include "src/common/utils/Log.h"
28 #include "src/core/helpers/MemoryHelpers.h"
29 #include "src/cpu/kernels/CpuAddMulAddKernel.h"
30 #include "src/cpu/operators/CpuAddMulAdd.h"
31 #include "src/cpu/utils/CpuAuxTensorHandler.h"
32
33 namespace arm_compute
34 {
35 namespace cpu
36 {
configure(const ITensorInfo * input1,const ITensorInfo * input2,const ITensorInfo * bn_mul,const ITensorInfo * bn_add,ITensorInfo * add_output,ITensorInfo * final_output,ConvertPolicy policy,const ActivationLayerInfo & act_info)37 void CpuAddMulAdd::configure(const ITensorInfo *input1, const ITensorInfo *input2,
38 const ITensorInfo *bn_mul, const ITensorInfo *bn_add,
39 ITensorInfo *add_output, ITensorInfo *final_output,
40 ConvertPolicy policy, const ActivationLayerInfo &act_info)
41 {
42 ARM_COMPUTE_LOG_PARAMS(input1, input2, bn_mul, bn_add, add_output, final_output, policy, act_info);
43
44 auto k = std::make_unique<kernels::CpuAddMulAddKernel>();
45
46 const DataType data_type = input1->data_type();
47 if(is_data_type_quantized(data_type))
48 {
49 _dequantize_bn_mul.configure(bn_mul, &_dequantized_bn_mul);
50 _dequantize_bn_add.configure(bn_add, &_dequantized_bn_add);
51
52 k->configure(input1, input2, &_dequantized_bn_mul, &_dequantized_bn_add, add_output, final_output, policy, act_info);
53
54 // Save auxilary memory requirements after configuration
55 _aux_mem[DequantizedBnMul] = experimental::MemoryInfo(offset_int_vec(DequantizedBnMul), experimental::MemoryLifetime::Temporary, _dequantized_bn_mul.total_size());
56 _aux_mem[DequantizedBnAdd] = experimental::MemoryInfo(offset_int_vec(DequantizedBnAdd), experimental::MemoryLifetime::Temporary, _dequantized_bn_add.total_size());
57 }
58 else
59 {
60 k->configure(input1, input2, bn_mul, bn_add, add_output, final_output, policy, act_info);
61 }
62
63 _kernel = std::move(k);
64 }
65
validate(const ITensorInfo * input1,const ITensorInfo * input2,const ITensorInfo * bn_mul,const ITensorInfo * bn_add,const ITensorInfo * add_output,const ITensorInfo * final_output,ConvertPolicy policy,const ActivationLayerInfo & act_info)66 Status CpuAddMulAdd::validate(const ITensorInfo *input1, const ITensorInfo *input2,
67 const ITensorInfo *bn_mul, const ITensorInfo *bn_add,
68 const ITensorInfo *add_output, const ITensorInfo *final_output,
69 ConvertPolicy policy, const ActivationLayerInfo &act_info)
70 {
71 const DataType data_type = input1->data_type();
72 if(is_data_type_quantized(data_type))
73 {
74 TensorInfo dequantized_bn_mul;
75 TensorInfo dequantized_bn_add;
76
77 ARM_COMPUTE_RETURN_ON_ERROR(CpuDequantize::validate(bn_mul, &dequantized_bn_mul));
78 ARM_COMPUTE_RETURN_ON_ERROR(CpuDequantize::validate(bn_add, &dequantized_bn_add));
79
80 return kernels::CpuAddMulAddKernel::validate(input1, input2, &dequantized_bn_mul, &dequantized_bn_add, add_output, final_output, policy, act_info);
81 }
82 else
83 {
84 return kernels::CpuAddMulAddKernel::validate(input1, input2, bn_mul, bn_add, add_output, final_output, policy, act_info);
85 }
86 }
87
run(ITensorPack & tensors)88 void CpuAddMulAdd::run(ITensorPack &tensors)
89 {
90 const DataType data_type = tensors.get_const_tensor(TensorType::ACL_SRC_0)->info()->data_type();
91
92 if(is_data_type_quantized(data_type))
93 {
94 const ITensor *bn_mul = tensors.get_const_tensor(TensorType::ACL_SRC_2);
95 const ITensor *bn_add = tensors.get_const_tensor(TensorType::ACL_SRC_3);
96
97 CpuAuxTensorHandler dequantized_bn_mul_handler(offset_int_vec(DequantizedBnMul), _dequantized_bn_mul, tensors, true);
98 CpuAuxTensorHandler dequantized_bn_add_handler(offset_int_vec(DequantizedBnAdd), _dequantized_bn_add, tensors, true);
99
100 ITensorPack dequantize_mul_pack =
101 {
102 { TensorType::ACL_SRC_0, bn_mul },
103 { TensorType::ACL_DST_0, dequantized_bn_mul_handler.get() }
104 };
105
106 ITensorPack dequantize_add_pack =
107 {
108 { TensorType::ACL_SRC_0, bn_add },
109 { TensorType::ACL_DST_0, dequantized_bn_add_handler.get() }
110 };
111
112 _dequantize_bn_mul.run(dequantize_mul_pack);
113 _dequantize_bn_add.run(dequantize_add_pack);
114
115 ITensorPack add_mul_add_pack =
116 {
117 { TensorType::ACL_SRC_0, tensors.get_const_tensor(TensorType::ACL_SRC_0) },
118 { TensorType::ACL_SRC_1, tensors.get_const_tensor(TensorType::ACL_SRC_1) },
119 { TensorType::ACL_SRC_2, dequantized_bn_mul_handler.get() },
120 { TensorType::ACL_SRC_3, dequantized_bn_add_handler.get() },
121 { TensorType::ACL_DST_0, tensors.get_tensor(TensorType::ACL_DST_0) },
122 { TensorType::ACL_DST_1, tensors.get_tensor(TensorType::ACL_DST_1) },
123 };
124
125 NEScheduler::get().schedule_op(_kernel.get(), Window::DimY, _kernel->window(), add_mul_add_pack);
126 }
127 else
128 {
129 NEScheduler::get().schedule_op(_kernel.get(), Window::DimY, _kernel->window(), tensors);
130 }
131 }
132
workspace() const133 experimental::MemoryRequirements CpuAddMulAdd::workspace() const
134 {
135 return _aux_mem;
136 }
137
138 } // namespace cpu
139 } // namespace arm_compute
140