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Michalis Spyrou7930db42018-11-22 17:36:28 +00001/*
Pablo Tello29cab362022-03-10 17:05:34 +00002 * Copyright (c) 2018-2022 Arm Limited.
Michalis Spyrou7930db42018-11-22 17:36:28 +00003 *
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#ifndef ARM_COMPUTE_TEST_ARG_MIN_MAX_FIXTURE
25#define ARM_COMPUTE_TEST_ARG_MIN_MAX_FIXTURE
26
27#include "arm_compute/core/TensorShape.h"
28#include "arm_compute/core/Types.h"
Sang-Hoon Park2697fd82019-10-15 16:49:24 +010029#include "arm_compute/core/utils/misc/ShapeCalculator.h"
Michalis Spyrou7930db42018-11-22 17:36:28 +000030#include "arm_compute/runtime/Tensor.h"
31#include "tests/AssetsLibrary.h"
32#include "tests/Globals.h"
33#include "tests/IAccessor.h"
34#include "tests/framework/Asserts.h"
35#include "tests/framework/Fixture.h"
36#include "tests/validation/Helpers.h"
37#include "tests/validation/reference/ReductionOperation.h"
38
39namespace arm_compute
40{
41namespace test
42{
43namespace validation
44{
45template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
Michalis Spyrouaea14c62019-01-03 11:10:25 +000046class ArgMinMaxValidationBaseFixture : public framework::Fixture
Michalis Spyrou7930db42018-11-22 17:36:28 +000047{
48public:
49 template <typename...>
Michalis Spyrouaea14c62019-01-03 11:10:25 +000050 void setup(TensorShape shape, DataType data_type, int axis, ReductionOperation op, QuantizationInfo q_info)
Michalis Spyrou7930db42018-11-22 17:36:28 +000051 {
Michalis Spyrouaea14c62019-01-03 11:10:25 +000052 _target = compute_target(shape, data_type, axis, op, q_info);
53 _reference = compute_reference(shape, data_type, axis, op, q_info);
Michalis Spyrou7930db42018-11-22 17:36:28 +000054 }
55
56protected:
57 template <typename U>
58 void fill(U &&tensor)
59 {
Michalis Spyroub9626ab2019-05-13 17:41:01 +010060 switch(tensor.data_type())
Michalis Spyrouaea14c62019-01-03 11:10:25 +000061 {
Michalis Spyroub9626ab2019-05-13 17:41:01 +010062 case DataType::F16:
63 {
Giorgio Arenaa8e2aeb2021-01-06 11:34:57 +000064 arm_compute::utils::uniform_real_distribution_16bit<half> distribution{ -1.0f, 1.0f };
Giorgio Arena6aeb2172020-12-15 15:45:43 +000065 library->fill(tensor, distribution, 0);
66 break;
67 }
68 case DataType::F32:
69 {
70 std::uniform_real_distribution<float> distribution(-1.0f, 1.0f);
Michalis Spyroub9626ab2019-05-13 17:41:01 +010071 library->fill(tensor, distribution, 0);
72 break;
73 }
74 case DataType::S32:
75 {
76 std::uniform_int_distribution<int32_t> distribution(-100, 100);
77 library->fill(tensor, distribution, 0);
78 break;
79 }
80 case DataType::QASYMM8:
81 {
82 std::pair<int, int> bounds = get_quantized_bounds(tensor.quantization_info(), -1.0f, 1.0f);
Pablo Tello29cab362022-03-10 17:05:34 +000083 std::uniform_int_distribution<uint32_t> distribution(bounds.first, bounds.second);
Michalis Spyrouaea14c62019-01-03 11:10:25 +000084
Michalis Spyroub9626ab2019-05-13 17:41:01 +010085 library->fill(tensor, distribution, 0);
86 break;
87 }
Luca Foschianiee939fb2020-01-28 10:38:07 +000088 case DataType::QASYMM8_SIGNED:
89 {
90 std::pair<int, int> bounds = get_quantized_qasymm8_signed_bounds(tensor.quantization_info(), -1.0f, 1.0f);
Pablo Tello29cab362022-03-10 17:05:34 +000091 std::uniform_int_distribution<int32_t> distribution(bounds.first, bounds.second);
Luca Foschianiee939fb2020-01-28 10:38:07 +000092
93 library->fill(tensor, distribution, 0);
94 break;
95 }
Michalis Spyroub9626ab2019-05-13 17:41:01 +010096 default:
97 ARM_COMPUTE_ERROR("DataType for Elementwise Negation Not implemented");
Michalis Spyrouaea14c62019-01-03 11:10:25 +000098 }
Michalis Spyrou7930db42018-11-22 17:36:28 +000099 }
100
Michalis Spyrouaea14c62019-01-03 11:10:25 +0000101 TensorType compute_target(TensorShape &src_shape, DataType data_type, int axis, ReductionOperation op, QuantizationInfo q_info)
Michalis Spyrou7930db42018-11-22 17:36:28 +0000102 {
103 // Create tensors
Michalis Spyrouaea14c62019-01-03 11:10:25 +0000104 TensorType src = create_tensor<TensorType>(src_shape, data_type, 1, q_info);
Michalis Spyrou7930db42018-11-22 17:36:28 +0000105 TensorType dst;
106
107 // Create and configure function
108 FunctionType arg_min_max_layer;
109 arg_min_max_layer.configure(&src, axis, &dst, op);
110
Michele Di Giorgio4fc10b32021-04-30 18:30:41 +0100111 ARM_COMPUTE_ASSERT(src.info()->is_resizable());
112 ARM_COMPUTE_ASSERT(dst.info()->is_resizable());
Michalis Spyrou7930db42018-11-22 17:36:28 +0000113
114 // Allocate tensors
115 src.allocator()->allocate();
116 dst.allocator()->allocate();
117
Michele Di Giorgio4fc10b32021-04-30 18:30:41 +0100118 ARM_COMPUTE_ASSERT(!src.info()->is_resizable());
119 ARM_COMPUTE_ASSERT(!dst.info()->is_resizable());
Michalis Spyrou7930db42018-11-22 17:36:28 +0000120
121 // Fill tensors
122 fill(AccessorType(src));
123
124 // Compute function
125 arg_min_max_layer.run();
126
127 return dst;
128 }
129
Sang-Hoon Parkeaa01ab2019-11-11 17:33:28 +0000130 SimpleTensor<int32_t> compute_reference(TensorShape &src_shape, DataType data_type, int axis, ReductionOperation op, QuantizationInfo q_info)
Michalis Spyrou7930db42018-11-22 17:36:28 +0000131 {
132 // Create reference
Michalis Spyrouaea14c62019-01-03 11:10:25 +0000133 SimpleTensor<T> src{ src_shape, data_type, 1, q_info };
Michalis Spyrou7930db42018-11-22 17:36:28 +0000134
135 // Fill reference
136 fill(src);
137
Sang-Hoon Park2697fd82019-10-15 16:49:24 +0100138 TensorShape output_shape = arm_compute::misc::shape_calculator::compute_reduced_shape(src_shape, axis, false);
Sang-Hoon Parkeaa01ab2019-11-11 17:33:28 +0000139 return reference::reduction_operation<T, int32_t>(src, output_shape, axis, op);
Michalis Spyrou7930db42018-11-22 17:36:28 +0000140 }
141
Sang-Hoon Parkeaa01ab2019-11-11 17:33:28 +0000142 TensorType _target{};
143 SimpleTensor<int32_t> _reference{};
Michalis Spyrouaea14c62019-01-03 11:10:25 +0000144};
145
146template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
147class ArgMinMaxValidationQuantizedFixture : public ArgMinMaxValidationBaseFixture<TensorType, AccessorType, FunctionType, T>
148{
149public:
150 template <typename...>
151 void setup(const TensorShape &shape, DataType data_type, int axis, ReductionOperation op, QuantizationInfo quantization_info)
152 {
153 ArgMinMaxValidationBaseFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, axis, op, quantization_info);
154 }
155};
156
157template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
158class ArgMinMaxValidationFixture : public ArgMinMaxValidationBaseFixture<TensorType, AccessorType, FunctionType, T>
159{
160public:
161 template <typename...>
162 void setup(const TensorShape &shape, DataType data_type, int axis, ReductionOperation op)
163 {
164 ArgMinMaxValidationBaseFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, axis, op, QuantizationInfo());
165 }
Michalis Spyrou7930db42018-11-22 17:36:28 +0000166};
167} // namespace validation
168} // namespace test
169} // namespace arm_compute
170#endif /* ARM_COMPUTE_TEST_ARG_MIN_MAX_FIXTURE */