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review.mlplatform.org / ml / ComputeLibrary / d051e97e36b9981f411093904cc019c2c7f9ac75 / . / tests / validation / CL / DepthwiseConvolutionLayer.cpp
blob: 5b18f5953b4357b335f4a95aab98b888631bcf20 [file] [log] [blame]
Giorgio Arena04a8f8c2017-11-23 11:45:24 +0000[diff] [blame]1/*
Georgios Pinitasf72f9362018-01-12 16:29:45 +0000[diff] [blame]2 * Copyright (c) 2017-2018 ARM Limited.
Giorgio Arena04a8f8c2017-11-23 11:45:24 +0000[diff] [blame]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 CONCLCTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
22 * SOFTWARE.
23 */
24#include "arm_compute/core/Types.h"
25#include "arm_compute/runtime/CL/CLTensor.h"
26#include "arm_compute/runtime/CL/CLTensorAllocator.h"
27#include "arm_compute/runtime/CL/functions/CLDepthwiseConvolutionLayer.h"
28#include "tests/CL/CLAccessor.h"
29#include "tests/PaddingCalculator.h"
30#include "tests/datasets/DepthwiseConvolutionLayerDataset.h"
31#include "tests/framework/Asserts.h"
32#include "tests/framework/Macros.h"
33#include "tests/framework/datasets/Datasets.h"
34#include "tests/validation/Validation.h"
35#include "tests/validation/fixtures/DepthwiseConvolutionLayerFixture.h"
36
37namespace arm_compute
38{
39namespace test
40{
41namespace validation
42{
43namespace
44{
Michele Di Giorgio933fe862018-02-19 15:42:12 +0000[diff] [blame]45RelativeTolerance<half_float::half> tolerance_f16(half_float::half(0.001)); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */
46constexpr RelativeTolerance<float> tolerance_f32(0.01f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */
47constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(1); /**< Tolerance value for comparing reference's output against implementation's output for DataType::QASYMM8 */
Michele Di Giorgiod24af8a2018-05-08 17:23:52 +0100[diff] [blame]48constexpr float tolerance_num = 0.05f; /**< Tolerance number */
Giorgio Arena76572242018-04-04 17:44:26 +0100[diff] [blame]49
50const auto depth_multipliers = framework::dataset::make("DepthMultiplier", { 1, 2, 3 });
Giorgio Arena04a8f8c2017-11-23 11:45:24 +0000[diff] [blame]51} // namespace
52
53TEST_SUITE(CL)
54TEST_SUITE(DepthwiseConvolutionLayer)
55
Giorgio Arenaad0c7382018-04-23 16:16:21 +0100[diff] [blame]56// *INDENT-OFF*
57// clang-format off
58DATA_TEST_CASE(Validate3x3, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(
59 framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32, 0), // Mismatching data type input/weights
60 TensorInfo(TensorShape(32U, 18U, 3U), 1, DataType::F32, 0), // Mismatching input feature maps
61 TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32, 0), // Unsupported weights dimensions
62 TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::QASYMM8, 0), // Unsupported activation
63 TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32, 0), // Mismatching depth multiplier
64 TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32, 0), // Invalid stride
65 TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32, 0), // Invalid biases size
66 TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32, 0), // Invalid biases dimensions
67 TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32, 0), // Invalid output size
68 TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Window shrink
69 TensorInfo(TensorShape(32U, 18U, 8U), 1, DataType::F32, 0),
70 TensorInfo(TensorShape(50U, 32U, 8U), 1, DataType::QASYMM8, 0),
71 }),
72 framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F16, 0),
73 TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0),
74 TensorInfo(TensorShape(5U, 5U, 2U), 1, DataType::F32, 0),
75 TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::QASYMM8, 0),
76 TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0),
77 TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0),
78 TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0),
79 TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0),
80 TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0),
81 TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0),
82 TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32, 0),
83 TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8, 0),
84 })),
85 framework::dataset::make("BiasesInfo", { TensorInfo(TensorShape(2U), 1, DataType::F32, 0),
86 TensorInfo(TensorShape(2U), 1, DataType::F32, 0),
87 TensorInfo(TensorShape(2U), 1, DataType::F32, 0),
88 TensorInfo(TensorShape(2U), 1, DataType::S32, 0),
89 TensorInfo(TensorShape(2U), 1, DataType::F32, 0),
90 TensorInfo(TensorShape(2U), 1, DataType::F32, 0),
91 TensorInfo(TensorShape(4U), 1, DataType::F32, 0),
92 TensorInfo(TensorShape(2U, 2U), 1, DataType::F32, 0),
93 TensorInfo(TensorShape(2U), 1, DataType::F32, 0),
94 TensorInfo(TensorShape(2U), 1, DataType::F32, 0),
95 TensorInfo(TensorShape(16U), 1, DataType::F32, 0),
96 TensorInfo(TensorShape(24U), 1, DataType::S32, 0),
97 })),
98 framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32, 0),
99 TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32, 0),
100 TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32, 0),
101 TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::QASYMM8, 0),
102 TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32, 0),
103 TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32, 0),
104 TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32, 0),
105 TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32, 0),
106 TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32, 0),
107 TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0),
108 TensorInfo(TensorShape(30U, 16U, 16U), 1, DataType::F32, 0),
109 TensorInfo(TensorShape(48U, 30U, 24U), 1, DataType::QASYMM8, 0),
110 })),
111 framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0),
112 PadStrideInfo(1, 1, 0, 0),
113 PadStrideInfo(1, 1, 0, 0),
114 PadStrideInfo(1, 1, 0, 0),
115 PadStrideInfo(1, 1, 0, 0),
116 PadStrideInfo(4, 1, 0, 0),
117 PadStrideInfo(1, 1, 0, 0),
118 PadStrideInfo(1, 1, 0, 0),
119 PadStrideInfo(1, 1, 0, 0),
120 PadStrideInfo(1, 1, 0, 0),
121 PadStrideInfo(1, 1, 0, 0),
122 PadStrideInfo(1, 1, 0, 0),
123 })),
124 framework::dataset::make("DepthMultiplier", { 1,
125 1,
126 1,
127 1,
128 3,
129 1,
130 1,
131 1,
132 1,
133 1,
134 2,
135 3,
136 })),
137 framework::dataset::make("ActivationInfo", { ActivationLayerInfo(),
138 ActivationLayerInfo(),
139 ActivationLayerInfo(),
140 ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LINEAR),
141 ActivationLayerInfo(),
142 ActivationLayerInfo(),
143 ActivationLayerInfo(),
144 ActivationLayerInfo(),
145 ActivationLayerInfo(),
146 ActivationLayerInfo(),
147 ActivationLayerInfo(),
148 ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),
149 })),
150 framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, false, false, true, true })),
151 input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, act_info, expected)
152{
153 bool is_valid = bool(CLDepthwiseConvolutionLayer3x3::validate(&input_info.clone()->set_is_resizable(false), &weights_info.clone()->set_is_resizable(false), &biases_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), conv_info, depth_multiplier, act_info));
154 ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS);
155}
156
157DATA_TEST_CASE(ValidateGeneric, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(
158 framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Mismatching data type input/weights
159 TensorInfo(TensorShape(27U, 13U, 3U), 1, DataType::F32, 0), // Mismatching input feature maps
160 TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Mismatching depth multiplier
161 TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Invalid biases size
162 TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Invalid biases dimensions
163 TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), // Invalid output size
164 TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32, 0),
165 TensorInfo(TensorShape(32U, 13U, 8U), 1, DataType::QASYMM8, 0),
166 }),
167 framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F16, 0),
168 TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0),
169 TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0),
170 TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0),
171 TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0),
172 TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0),
173 TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32, 0),
174 TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8, 0),
175 })),
176 framework::dataset::make("BiasesInfo", { TensorInfo(TensorShape(2U), 1, DataType::F32, 0),
177 TensorInfo(TensorShape(2U), 1, DataType::F32, 0),
178 TensorInfo(TensorShape(2U), 1, DataType::F32, 0),
179 TensorInfo(TensorShape(4U), 1, DataType::F32, 0),
180 TensorInfo(TensorShape(2U, 2U), 1, DataType::F32, 0),
181 TensorInfo(TensorShape(2U), 1, DataType::F32, 0),
182 TensorInfo(TensorShape(16U), 1, DataType::F32, 0),
183 TensorInfo(TensorShape(24U), 1, DataType::S32, 0),
184 })),
185 framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0),
186 TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0),
187 TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0),
188 TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0),
189 TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0),
190 TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0),
191 TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32, 0),
192 TensorInfo(TensorShape(32U, 11U, 24U), 1, DataType::QASYMM8, 0),
193 })),
194 framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0),
195 PadStrideInfo(1, 1, 0, 0),
196 PadStrideInfo(1, 1, 0, 0),
197 PadStrideInfo(1, 1, 0, 0),
198 PadStrideInfo(1, 1, 0, 0),
199 PadStrideInfo(1, 1, 0, 0),
200 PadStrideInfo(1, 1, 0, 0),
201 PadStrideInfo(1, 1, 1, 0),
202 })),
203 framework::dataset::make("DepthMultiplier", { 1,
204 1,
205 3,
206 1,
207 1,
208 1,
209 2,
210 3,
211 })),
212 framework::dataset::make("Expected", { false, false, false, false, false, false, true, true })),
213 input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, expected)
214{
215 bool is_valid = bool(CLDepthwiseConvolutionLayer::validate(&input_info.clone()->set_is_resizable(false), &weights_info.clone()->set_is_resizable(false), &biases_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), conv_info, depth_multiplier));
216 ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS);
217}
218// clang-format on
219// *INDENT-ON*
220
Giorgio Arena04a8f8c2017-11-23 11:45:24 +0000[diff] [blame]221template <typename T>
222using CLDepthwiseConvolutionLayerFixture = DepthwiseConvolutionLayerValidationFixture<CLTensor, CLAccessor, CLDepthwiseConvolutionLayer, T>;
223
Giorgio Arena04a8f8c2017-11-23 11:45:24 +0000[diff] [blame]224template <typename T>
225using CLDepthwiseConvolutionLayerFixture3x3 = DepthwiseConvolutionLayerValidationFixture<CLTensor, CLAccessor, CLDepthwiseConvolutionLayer3x3, T>;
226
227TEST_SUITE(Float)
Michele Di Giorgiod24af8a2018-05-08 17:23:52 +0100[diff] [blame]228TEST_SUITE(FP16)
Michele Di Giorgio933fe862018-02-19 15:42:12 +0000[diff] [blame]229TEST_SUITE(W3x3)
Giorgio Arenadfca60b2018-01-31 10:30:59 +0000[diff] [blame]230FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture3x3<half>, framework::DatasetMode::ALL,
Giorgio Arena76572242018-04-04 17:44:26 +0100[diff] [blame]231 combine(combine(combine(framework::dataset::concat(datasets::SmallDepthwiseConvolutionLayerDataset3x3(),
232 datasets::SmallDepthwiseConvolutionLayerDataset3x3NCHW()),
233 depth_multipliers),
Giorgio Arenadfca60b2018-01-31 10:30:59 +0000[diff] [blame]234 framework::dataset::make("DataType",
235 DataType::F16)),
236 framework::dataset::make("DataLayout", DataLayout::NCHW)))
Michele Di Giorgio933fe862018-02-19 15:42:12 +0000[diff] [blame]237{
238 validate(CLAccessor(_target), _reference, tolerance_f16);
239}
Giorgio Arena76572242018-04-04 17:44:26 +0100[diff] [blame]240FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture3x3<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(),
241 depth_multipliers),
Michele Di Giorgio933fe862018-02-19 15:42:12 +0000[diff] [blame]242 framework::dataset::make("DataType",
Giorgio Arena1ed1fc62018-03-26 16:20:05 +0100[diff] [blame]243 DataType::F16)),
244 framework::dataset::make("DataLayout", DataLayout::NCHW)))
Michele Di Giorgio933fe862018-02-19 15:42:12 +0000[diff] [blame]245{
246 validate(CLAccessor(_target), _reference, tolerance_f16);
247}
248TEST_SUITE_END()
Michele Di Giorgiod24af8a2018-05-08 17:23:52 +0100[diff] [blame]249
250TEST_SUITE(Generic)
251FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), depth_multipliers),
252 framework::dataset::make("DataType",
253 DataType::F16)),
Giorgio Arenad051e972018-06-20 11:46:42 +0100[diff] [blame^]254 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
Michele Di Giorgiod24af8a2018-05-08 17:23:52 +0100[diff] [blame]255{
256 validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num);
257}
258FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(),
259 depth_multipliers),
260 framework::dataset::make("DataType",
261 DataType::F16)),
Giorgio Arenad051e972018-06-20 11:46:42 +0100[diff] [blame^]262 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
Michele Di Giorgiod24af8a2018-05-08 17:23:52 +0100[diff] [blame]263{
264 validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num);
265}
266TEST_SUITE_END()
Michele Di Giorgio933fe862018-02-19 15:42:12 +0000[diff] [blame]267TEST_SUITE_END()
268
Giorgio Arena04a8f8c2017-11-23 11:45:24 +0000[diff] [blame]269TEST_SUITE(FP32)
270TEST_SUITE(W3x3)
Giorgio Arenad051e972018-06-20 11:46:42 +0100[diff] [blame^]271TEST_SUITE(NCHW)
Giorgio Arenadfca60b2018-01-31 10:30:59 +0000[diff] [blame]272FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture3x3<float>, framework::DatasetMode::ALL,
Giorgio Arena76572242018-04-04 17:44:26 +0100[diff] [blame]273 combine(combine(combine(framework::dataset::concat(datasets::SmallDepthwiseConvolutionLayerDataset3x3(),
274 datasets::SmallDepthwiseConvolutionLayerDataset3x3NCHW()),
275 depth_multipliers),
Giorgio Arenadfca60b2018-01-31 10:30:59 +0000[diff] [blame]276 framework::dataset::make("DataType",
277 DataType::F32)),
278 framework::dataset::make("DataLayout", DataLayout::NCHW)))
Giorgio Arena04a8f8c2017-11-23 11:45:24 +0000[diff] [blame]279{
280 validate(CLAccessor(_target), _reference, tolerance_f32);
281}
Giorgio Arena76572242018-04-04 17:44:26 +0100[diff] [blame]282FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture3x3<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(),
283 depth_multipliers),
Giorgio Arena04a8f8c2017-11-23 11:45:24 +0000[diff] [blame]284 framework::dataset::make("DataType",
Giorgio Arena1ed1fc62018-03-26 16:20:05 +0100[diff] [blame]285 DataType::F32)),
286 framework::dataset::make("DataLayout", DataLayout::NCHW)))
Giorgio Arena04a8f8c2017-11-23 11:45:24 +0000[diff] [blame]287{
288 validate(CLAccessor(_target), _reference, tolerance_f32);
289}
290TEST_SUITE_END()
Giorgio Arenad051e972018-06-20 11:46:42 +0100[diff] [blame^]291TEST_SUITE(NHWC)
292FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture3x3<float>, framework::DatasetMode::ALL,
293 combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(),
294 framework::dataset::make("DepthMultiplier", 1)), // COMPMID-1071 Add depth multiplier support for NHWC
295 framework::dataset::make("DataType",
296 DataType::F32)),
297 framework::dataset::make("DataLayout", DataLayout::NHWC)))
298{
299 validate(CLAccessor(_target), _reference, tolerance_f32);
300}
301FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture3x3<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(),
302 framework::dataset::make("DepthMultiplier", 1)), // COMPMID-1071 Add depth multiplier support for NHWC
303 framework::dataset::make("DataType",
304 DataType::F32)),
305 framework::dataset::make("DataLayout", DataLayout::NHWC)))
306{
307 validate(CLAccessor(_target), _reference, tolerance_f32);
308}
309TEST_SUITE_END()
310TEST_SUITE_END()
Michele Di Giorgiod24af8a2018-05-08 17:23:52 +0100[diff] [blame]311
312TEST_SUITE(Generic)
313FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), depth_multipliers),
314 framework::dataset::make("DataType",
315 DataType::F32)),
Giorgio Arenad051e972018-06-20 11:46:42 +0100[diff] [blame^]316 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
Michele Di Giorgiod24af8a2018-05-08 17:23:52 +0100[diff] [blame]317{
318 validate(CLAccessor(_target), _reference, tolerance_f32);
319}
320FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(),
321 depth_multipliers),
322 framework::dataset::make("DataType",
323 DataType::F32)),
Giorgio Arenad051e972018-06-20 11:46:42 +0100[diff] [blame^]324 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
Michele Di Giorgiod24af8a2018-05-08 17:23:52 +0100[diff] [blame]325{
326 validate(CLAccessor(_target), _reference, tolerance_f32);
327}
328TEST_SUITE_END()
Giorgio Arena04a8f8c2017-11-23 11:45:24 +0000[diff] [blame]329TEST_SUITE_END()
330TEST_SUITE_END()
331
332template <typename T>
Georgios Pinitasde5a1cc2018-02-02 12:52:07 +0000[diff] [blame]333using CLDepthwiseConvolutionLayerQuantizedFixture = DepthwiseConvolutionLayerValidationQuantizedFixture<CLTensor, CLAccessor, CLDepthwiseConvolutionLayer, T>;
334template <typename T>
Giorgio Arena04a8f8c2017-11-23 11:45:24 +0000[diff] [blame]335using CLDepthwiseConvolutionLayerQuantizedFixture3x3 = DepthwiseConvolutionLayerValidationQuantizedFixture<CLTensor, CLAccessor, CLDepthwiseConvolutionLayer3x3, T>;
336
337TEST_SUITE(Quantized)
338TEST_SUITE(QASYMM8)
Georgios Pinitasde5a1cc2018-02-02 12:52:07 +0000[diff] [blame]339TEST_SUITE(Generic)
Giorgio Arena76572242018-04-04 17:44:26 +0100[diff] [blame]340FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
341 combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(),
342 depth_multipliers),
343 framework::dataset::make("DataType", DataType::QASYMM8)),
344 framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) })),
Giorgio Arenad051e972018-06-20 11:46:42 +0100[diff] [blame^]345 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
Georgios Pinitasde5a1cc2018-02-02 12:52:07 +0000[diff] [blame]346{
347 validate(CLAccessor(_target), _reference, tolerance_qasymm8);
348}
Giorgio Arena76572242018-04-04 17:44:26 +0100[diff] [blame]349FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY,
350 combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(),
351 depth_multipliers),
352 framework::dataset::make("DataType", DataType::QASYMM8)),
353 framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) })),
Giorgio Arenad051e972018-06-20 11:46:42 +0100[diff] [blame^]354 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
Georgios Pinitasde5a1cc2018-02-02 12:52:07 +0000[diff] [blame]355{
356 validate(CLAccessor(_target), _reference, tolerance_qasymm8);
357}
358TEST_SUITE_END()
Giorgio Arena04a8f8c2017-11-23 11:45:24 +0000[diff] [blame]359TEST_SUITE(W3x3)
Giorgio Arenadfca60b2018-01-31 10:30:59 +0000[diff] [blame]360FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerQuantizedFixture3x3<uint8_t>, framework::DatasetMode::PRECOMMIT,
Giorgio Arena76572242018-04-04 17:44:26 +0100[diff] [blame]361 combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(),
362 framework::dataset::make("DepthMultiplier", 1)), // COMPMID-1071 Add depth multiplier support for NHWC
Giorgio Arenadfca60b2018-01-31 10:30:59 +0000[diff] [blame]363 framework::dataset::make("DataType", DataType::QASYMM8)),
364 framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) })),
365 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
Giorgio Arena04a8f8c2017-11-23 11:45:24 +0000[diff] [blame]366{
367 validate(CLAccessor(_target), _reference, tolerance_qasymm8);
368}
Giorgio Arena76572242018-04-04 17:44:26 +0100[diff] [blame]369FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerQuantizedFixture3x3<uint8_t>, framework::DatasetMode::NIGHTLY,
370 combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(),
371 framework::dataset::make("DepthMultiplier", 1)), // COMPMID-1071 Add depth multiplier support for NHWC
372 framework::dataset::make("DataType", DataType::QASYMM8)),
373 framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) })),
374 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
Giorgio Arena04a8f8c2017-11-23 11:45:24 +0000[diff] [blame]375{
376 validate(CLAccessor(_target), _reference, tolerance_qasymm8);
377}
378TEST_SUITE_END()
379TEST_SUITE_END()
380TEST_SUITE_END()
381
382TEST_SUITE_END()
383TEST_SUITE_END()
384} // namespace validation
385} // namespace test
386} // namespace arm_compute