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Michalis Spyrou780db4e2017-11-23 09:49:51 +00001/*
Georgios Pinitasced7a8d2018-02-01 16:31:33 +00002 * Copyright (c) 2017-2018 ARM Limited.
Michalis Spyrou780db4e2017-11-23 09:49:51 +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#include "arm_compute/core/CL/kernels/CLFillBorderKernel.h"
25#include "arm_compute/core/Types.h"
Michele Di Giorgioed5a4922018-09-13 16:22:01 +010026#include "arm_compute/core/utils/misc/ShapeCalculator.h"
Michalis Spyrou780db4e2017-11-23 09:49:51 +000027#include "arm_compute/runtime/CL/CLTensor.h"
28#include "arm_compute/runtime/CL/CLTensorAllocator.h"
29#include "arm_compute/runtime/CL/functions/CLDeconvolutionLayer.h"
30#include "tests/CL/CLAccessor.h"
31#include "tests/PaddingCalculator.h"
32#include "tests/datasets/ShapeDatasets.h"
33#include "tests/framework/Asserts.h"
34#include "tests/framework/Macros.h"
35#include "tests/framework/datasets/Datasets.h"
36#include "tests/validation/Validation.h"
37#include "tests/validation/fixtures/DeconvolutionLayerFixture.h"
38
39namespace arm_compute
40{
41namespace test
42{
43namespace validation
44{
45namespace
46{
Georgios Pinitas793f87d2018-05-18 20:08:58 +010047constexpr AbsoluteTolerance<float> tolerance_fp32(0.001f); /**< Tolerance for floating point tests */
48RelativeTolerance<half_float::half> tolerance_f16(half_float::half(0.2)); /**< Tolerance value for comparing reference's for DataType::F16 */
Michele Di Giorgioed5a4922018-09-13 16:22:01 +010049constexpr AbsoluteTolerance<float> tolerance_qasymm8(0.0); /**< Tolerance value for comparing reference's output against implementation's output for quantized data types */
Georgios Pinitas793f87d2018-05-18 20:08:58 +010050constexpr float tolerance_num = 0.07f; /**< Tolerance number */
Michalis Spyrou780db4e2017-11-23 09:49:51 +000051
Michalis Spyrouafbc5ff2018-10-03 14:18:19 +010052const auto data4x4 = datasets::SmallDeconvolutionShapes() * framework::dataset::make("StrideX", 1, 5) * framework::dataset::make("StrideY", 1, 5) * framework::dataset::make("PadX", 0, 3)
Georgios Pinitasced7a8d2018-02-01 16:31:33 +000053 * framework::dataset::make("PadY", 0, 3) * framework::dataset::make("ax", 0) * framework::dataset::make("ay", 0) * framework::dataset::make("NumKernels", { 1, 3 });
54
Michalis Spyrou780db4e2017-11-23 09:49:51 +000055const auto data3x3 = datasets::SmallDeconvolutionShapes() * framework::dataset::make("StrideX", 1, 4) * framework::dataset::make("StrideY", 1, 4) * framework::dataset::make("PadX", 0, 2)
56 * framework::dataset::make("PadY", 0, 2) * framework::dataset::make("ax", 0) * framework::dataset::make("ay", 0) * framework::dataset::make("NumKernels", { 1, 3 });
57
Michalis Spyrou064add62018-11-01 18:14:27 +000058const auto data3x3_precommit = datasets::SmallDeconvolutionShapes() * framework::dataset::make("StrideX", 1, 2) * framework::dataset::make("StrideY", 1, 2) * framework::dataset::make("PadX", 0, 2)
59 * framework::dataset::make("PadY", 0, 2) * framework::dataset::make("ax", 0) * framework::dataset::make("ay", 0) * framework::dataset::make("NumKernels", { 3 });
60
Michalis Spyrou780db4e2017-11-23 09:49:51 +000061const auto data1x1 = datasets::SmallDeconvolutionShapes() * framework::dataset::make("StrideX", 1, 4) * framework::dataset::make("StrideY", 1, 4) * framework::dataset::make("PadX", 0, 1)
62 * framework::dataset::make("PadY", 0, 1) * framework::dataset::make("ax", 0) * framework::dataset::make("ay", 0) * framework::dataset::make("NumKernels", { 1, 3 });
63
Michele Di Giorgioed5a4922018-09-13 16:22:01 +010064const auto data_layouts_dataset = framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC });
Michalis Spyrou780db4e2017-11-23 09:49:51 +000065} // namespace
66
67TEST_SUITE(CL)
68TEST_SUITE(DeconvolutionLayer)
69
70DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, (combine(datasets::SmallDeconvolutionShapes(), framework::dataset::make("DataType", DataType::F32))),
71 input_shape, data_type)
72{
73 // Create shapes
74 const unsigned int kernel_size_x = 3;
75 const unsigned int kernel_size_y = 3;
76 const unsigned int num_kernels = 1;
77 const TensorShape weights_shape(kernel_size_x, kernel_size_y, input_shape.z(), num_kernels);
78 const TensorShape bias_shape(num_kernels);
Michalis Spyrouafbc5ff2018-10-03 14:18:19 +010079 auto out_dim = deconvolution_output_dimensions(input_shape.x(), input_shape.y(), kernel_size_x, kernel_size_y, 1, 1, 1, 1);
Michele Di Giorgioed5a4922018-09-13 16:22:01 +010080 TensorShape output_shape = compute_deconvolution_output_shape(out_dim, TensorInfo(input_shape, 1, data_type), TensorInfo(weights_shape, 1, data_type));
Michalis Spyrou780db4e2017-11-23 09:49:51 +000081
82 // Create tensors
83 CLTensor src = create_tensor<CLTensor>(input_shape, data_type, 1);
84 CLTensor weights = create_tensor<CLTensor>(weights_shape, data_type, 1);
85 CLTensor bias = create_tensor<CLTensor>(bias_shape, data_type, 1);
86 CLTensor dst = create_tensor<CLTensor>(output_shape, data_type, 1);
87
88 ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
89 ARM_COMPUTE_EXPECT(weights.info()->is_resizable(), framework::LogLevel::ERRORS);
90 ARM_COMPUTE_EXPECT(bias.info()->is_resizable(), framework::LogLevel::ERRORS);
91 ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
92
93 // Create and configure function
94 CLDeconvolutionLayer deconv;
95 deconv.configure(&src, &weights, &bias, &dst, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL), 0, 0);
96
97 // Validate valid region
98 const ValidRegion src_valid_region = shape_to_valid_region(input_shape);
99 const ValidRegion weights_valid_region = shape_to_valid_region(weights_shape);
100 const ValidRegion bias_valid_region = shape_to_valid_region(bias_shape);
101 const ValidRegion dst_valid_region = shape_to_valid_region(output_shape);
102
103 validate(src.info()->valid_region(), src_valid_region);
104 validate(weights.info()->valid_region(), weights_valid_region);
105 validate(bias.info()->valid_region(), bias_valid_region);
106 validate(dst.info()->valid_region(), dst_valid_region);
107}
108
109// *INDENT-OFF*
110// clang-format off
111DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(
Vidhya Sudhan Loganathan7485d5a2018-07-04 09:34:00 +0100112 framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching data type
113 TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid weights shape
Vidhya Sudhan Loganathan7485d5a2018-07-04 09:34:00 +0100114 TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Invalid bias shape
115 TensorInfo(TensorShape(13U, 11U, 4U, 3U), 1, DataType::F32), // Window shrink
116 TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32),
Michalis Spyrou780db4e2017-11-23 09:49:51 +0000117 }),
Vidhya Sudhan Loganathan7485d5a2018-07-04 09:34:00 +0100118 framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F16),
119 TensorInfo(TensorShape(3U, 3U, 2U, 4U), 1, DataType::F32),
Vidhya Sudhan Loganathan7485d5a2018-07-04 09:34:00 +0100120 TensorInfo(TensorShape(3U, 2U, 2U, 2U), 1, DataType::F32),
121 TensorInfo(TensorShape(3U, 3U, 4U), 1, DataType::F32),
122 TensorInfo(TensorShape(1U, 1U, 2U, 4U), 1, DataType::F32),
Michalis Spyrou780db4e2017-11-23 09:49:51 +0000123 })),
Vidhya Sudhan Loganathan7485d5a2018-07-04 09:34:00 +0100124 framework::dataset::make("BiasInfo", { TensorInfo(TensorShape(1U), 1, DataType::F16),
125 TensorInfo(TensorShape(1U), 1, DataType::F32),
Vidhya Sudhan Loganathan7485d5a2018-07-04 09:34:00 +0100126 TensorInfo(TensorShape(25U, 11U), 1, DataType::F32),
127 TensorInfo(TensorShape(1U), 1, DataType::F32),
128 TensorInfo(TensorShape(4U), 1, DataType::F32),
Michele Di Giorgio9fef38a2018-07-06 18:06:58 +0100129 TensorInfo(TensorShape(4U), 1, DataType::S32),
Michalis Spyrou780db4e2017-11-23 09:49:51 +0000130 })),
Vidhya Sudhan Loganathan7485d5a2018-07-04 09:34:00 +0100131 framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16),
132 TensorInfo(TensorShape(25U, 10U, 2U), 1, DataType::F32),
Vidhya Sudhan Loganathan7485d5a2018-07-04 09:34:00 +0100133 TensorInfo(TensorShape(13U, 13U, 2U), 1, DataType::F32),
134 TensorInfo(TensorShape(11U, 9U, 1U, 3U), 1, DataType::F32),
135 TensorInfo(TensorShape(32U, 16U, 4U), 1, DataType::F32),
Michalis Spyrou780db4e2017-11-23 09:49:51 +0000136 })),
137 framework::dataset::make("PadStrideInfo", { PadStrideInfo(1, 1, 0, 0),
138 PadStrideInfo(1, 1, 0, 0),
139 PadStrideInfo(1, 1, 0, 0),
Michalis Spyrou780db4e2017-11-23 09:49:51 +0000140 PadStrideInfo(1, 1, 1, 1),
141 PadStrideInfo(1, 1, 0, 0),
142 })),
143 framework::dataset::make("ax", { 1U,
144 1U,
145 1U,
Michalis Spyrou780db4e2017-11-23 09:49:51 +0000146 0U,
147 0U,
148 })),
149 framework::dataset::make("ay", { 1U,
150 1U,
151 1U,
Michalis Spyrou780db4e2017-11-23 09:49:51 +0000152 0U,
153 0U,
154 })),
Michele Di Giorgio9fef38a2018-07-06 18:06:58 +0100155 framework::dataset::make("Expected", { false, false, false, false, true })),
Michalis Spyrou780db4e2017-11-23 09:49:51 +0000156 input_info, weights_info, bias_info, output_info, pad_info, ax, ay, expected)
157{
158 bool is_valid = bool(CLDeconvolutionLayer::validate(&input_info.clone()->set_is_resizable(false), &weights_info.clone()->set_is_resizable(false), &bias_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), pad_info, ax, ay));
159 ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS);
160}
161// clang-format on
162// *INDENT-ON*
163
164template <typename T>
Georgios Pinitasced7a8d2018-02-01 16:31:33 +0000165using CLDeconvolutionLayerFixture4x4 = DeconvolutionValidationFixture<CLTensor, CLAccessor, CLDeconvolutionLayer, T, 4, 4>;
166
167template <typename T>
Michalis Spyrou780db4e2017-11-23 09:49:51 +0000168using CLDeconvolutionLayerFixture3x3 = DeconvolutionValidationFixture<CLTensor, CLAccessor, CLDeconvolutionLayer, T, 3, 3>;
169
170template <typename T>
171using CLDeconvolutionLayerFixture1x1 = DeconvolutionValidationFixture<CLTensor, CLAccessor, CLDeconvolutionLayer, T, 1, 1>;
172
173TEST_SUITE(Float)
Michalis Spyrou780db4e2017-11-23 09:49:51 +0000174TEST_SUITE(FP32)
Georgios Pinitasced7a8d2018-02-01 16:31:33 +0000175
Georgios Pinitas793f87d2018-05-18 20:08:58 +0100176TEST_SUITE(W4x4)
Michalis Spyrou064add62018-11-01 18:14:27 +0000177FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerFixture4x4<float>, framework::DatasetMode::NIGHTLY, combine(combine(data4x4, framework::dataset::make("DataType", DataType::F32)),
178 data_layouts_dataset))
Georgios Pinitasced7a8d2018-02-01 16:31:33 +0000179{
180 // Validate output
181 validate(CLAccessor(_target), _reference, tolerance_fp32);
182}
Michalis Spyrou064add62018-11-01 18:14:27 +0000183TEST_SUITE_END() // W4x4
Georgios Pinitasced7a8d2018-02-01 16:31:33 +0000184
Michalis Spyrou780db4e2017-11-23 09:49:51 +0000185TEST_SUITE(W3x3)
Michalis Spyrou064add62018-11-01 18:14:27 +0000186FIXTURE_DATA_TEST_CASE(RunSmall, CLDeconvolutionLayerFixture3x3<float>, framework::DatasetMode::PRECOMMIT, combine(combine(data3x3_precommit, framework::dataset::make("DataType", DataType::F32)),
187 data_layouts_dataset))
Michalis Spyrou780db4e2017-11-23 09:49:51 +0000188{
189 // Validate output
190 validate(CLAccessor(_target), _reference, tolerance_fp32);
191}
Michalis Spyrou064add62018-11-01 18:14:27 +0000192FIXTURE_DATA_TEST_CASE(RunLarge, CLDeconvolutionLayerFixture3x3<float>, framework::DatasetMode::NIGHTLY, combine(combine(data3x3, framework::dataset::make("DataType", DataType::F32)),
193 data_layouts_dataset))
194{
195 // Validate output
196 validate(CLAccessor(_target), _reference, tolerance_fp32);
197}
198TEST_SUITE_END() // W3x3
Michalis Spyrou780db4e2017-11-23 09:49:51 +0000199
200TEST_SUITE(W1x1)
Michalis Spyrou064add62018-11-01 18:14:27 +0000201FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerFixture1x1<float>, framework::DatasetMode::NIGHTLY, combine(combine(data1x1, framework::dataset::make("DataType", DataType::F32)),
202 data_layouts_dataset))
Michalis Spyrou780db4e2017-11-23 09:49:51 +0000203{
204 // Validate output
205 validate(CLAccessor(_target), _reference, tolerance_fp32);
206}
Michalis Spyrou064add62018-11-01 18:14:27 +0000207TEST_SUITE_END() // W1x1
Michalis Spyrou780db4e2017-11-23 09:49:51 +0000208
Michalis Spyrou064add62018-11-01 18:14:27 +0000209TEST_SUITE_END() // FP32
Georgios Pinitas793f87d2018-05-18 20:08:58 +0100210
211TEST_SUITE(FP16)
212
213TEST_SUITE(W4x4)
Michalis Spyrou064add62018-11-01 18:14:27 +0000214FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerFixture4x4<half>, framework::DatasetMode::NIGHTLY, combine(combine(data4x4, framework::dataset::make("DataType", DataType::F16)), data_layouts_dataset))
Georgios Pinitas793f87d2018-05-18 20:08:58 +0100215{
216 // Validate output
217 validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num);
218}
Michalis Spyrou064add62018-11-01 18:14:27 +0000219TEST_SUITE_END() // W4x4
Georgios Pinitas793f87d2018-05-18 20:08:58 +0100220
221TEST_SUITE(W3x3)
Michalis Spyrou064add62018-11-01 18:14:27 +0000222FIXTURE_DATA_TEST_CASE(RunSmall, CLDeconvolutionLayerFixture3x3<half>, framework::DatasetMode::PRECOMMIT, combine(combine(data3x3_precommit, framework::dataset::make("DataType", DataType::F16)),
223 data_layouts_dataset))
Georgios Pinitas793f87d2018-05-18 20:08:58 +0100224{
225 // Validate output
226 validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num);
227}
Michalis Spyrou064add62018-11-01 18:14:27 +0000228FIXTURE_DATA_TEST_CASE(RunLarge, CLDeconvolutionLayerFixture3x3<half>, framework::DatasetMode::NIGHTLY, combine(combine(data3x3, framework::dataset::make("DataType", DataType::F16)),
229 data_layouts_dataset))
230{
231 // Validate output
232 validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num);
233}
234TEST_SUITE_END() // W3x3
Georgios Pinitas793f87d2018-05-18 20:08:58 +0100235
236TEST_SUITE(W1x1)
Michalis Spyrou064add62018-11-01 18:14:27 +0000237FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerFixture1x1<half>, framework::DatasetMode::NIGHTLY, combine(combine(data1x1, framework::dataset::make("DataType", DataType::F16)), data_layouts_dataset))
Georgios Pinitas793f87d2018-05-18 20:08:58 +0100238{
239 // Validate output
240 validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num);
241}
Michalis Spyrou064add62018-11-01 18:14:27 +0000242TEST_SUITE_END() // W1x1
Georgios Pinitas793f87d2018-05-18 20:08:58 +0100243
Michalis Spyrou064add62018-11-01 18:14:27 +0000244TEST_SUITE_END() // FP16
245TEST_SUITE_END() // Float
Michalis Spyrou780db4e2017-11-23 09:49:51 +0000246
Michele Di Giorgio9fef38a2018-07-06 18:06:58 +0100247template <typename T>
248using CLDeconvolutionLayerQuantizedFixture4x4 = DeconvolutionValidationQuantizedFixture<CLTensor, CLAccessor, CLDeconvolutionLayer, T, 4, 4>;
249
250template <typename T>
251using CLDeconvolutionLayerQuantizedFixture3x3 = DeconvolutionValidationQuantizedFixture<CLTensor, CLAccessor, CLDeconvolutionLayer, T, 3, 3>;
252
253template <typename T>
254using CLDeconvolutionLayerQuantizedFixture1x1 = DeconvolutionValidationQuantizedFixture<CLTensor, CLAccessor, CLDeconvolutionLayer, T, 1, 1>;
255
256TEST_SUITE(Quantized)
257TEST_SUITE(QASYMM8)
258
259TEST_SUITE(W4x4)
Michalis Spyrou064add62018-11-01 18:14:27 +0000260FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerQuantizedFixture4x4<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(data4x4, framework::dataset::make("DataType",
261 DataType::QASYMM8)),
262 data_layouts_dataset),
263 framework::dataset::make("QuantizationInfo", QuantizationInfo(2.f / 255.f, 0))))
Michele Di Giorgio9fef38a2018-07-06 18:06:58 +0100264{
265 // Validate output
266 validate(CLAccessor(_target), _reference, tolerance_qasymm8, tolerance_num);
267}
Michalis Spyrou064add62018-11-01 18:14:27 +0000268TEST_SUITE_END() // W4x4
Michele Di Giorgio9fef38a2018-07-06 18:06:58 +0100269
270TEST_SUITE(W3x3)
Michalis Spyrou064add62018-11-01 18:14:27 +0000271FIXTURE_DATA_TEST_CASE(RunSmall, CLDeconvolutionLayerQuantizedFixture3x3<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(data3x3_precommit, framework::dataset::make("DataType",
272 DataType::QASYMM8)),
273 data_layouts_dataset),
274 framework::dataset::make("QuantizationInfo", QuantizationInfo(2.f / 255.f, 0))))
Michele Di Giorgio9fef38a2018-07-06 18:06:58 +0100275{
276 // Validate output
277 validate(CLAccessor(_target), _reference, tolerance_qasymm8, tolerance_num);
278}
Michalis Spyrou064add62018-11-01 18:14:27 +0000279FIXTURE_DATA_TEST_CASE(RunLarge, CLDeconvolutionLayerQuantizedFixture3x3<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(data3x3, framework::dataset::make("DataType",
280 DataType::QASYMM8)),
281 data_layouts_dataset),
282 framework::dataset::make("QuantizationInfo", QuantizationInfo(2.f / 255.f, 0))))
283{
284 // Validate output
285 validate(CLAccessor(_target), _reference, tolerance_qasymm8, tolerance_num);
286}
287TEST_SUITE_END() // W3x3
Michele Di Giorgio9fef38a2018-07-06 18:06:58 +0100288
289TEST_SUITE(W1x1)
Michalis Spyrou064add62018-11-01 18:14:27 +0000290FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerQuantizedFixture1x1<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(data1x1, framework::dataset::make("DataType",
291 DataType::QASYMM8)),
292 data_layouts_dataset),
293 framework::dataset::make("QuantizationInfo", QuantizationInfo(2.f / 255.f, 0))))
Michele Di Giorgio9fef38a2018-07-06 18:06:58 +0100294{
295 // Validate output
296 validate(CLAccessor(_target), _reference, tolerance_qasymm8, tolerance_num);
297}
Michalis Spyrou064add62018-11-01 18:14:27 +0000298TEST_SUITE_END() // W1x1
Michele Di Giorgio9fef38a2018-07-06 18:06:58 +0100299
Michalis Spyrou064add62018-11-01 18:14:27 +0000300TEST_SUITE_END() // QASYMM8
301TEST_SUITE_END() // Quantized
Michele Di Giorgio9fef38a2018-07-06 18:06:58 +0100302
Michalis Spyrou064add62018-11-01 18:14:27 +0000303TEST_SUITE_END() // DeconvolutionLayer
304TEST_SUITE_END() // CL
Michalis Spyrou780db4e2017-11-23 09:49:51 +0000305} // namespace validation
306} // namespace test
307} // namespace arm_compute