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| <div class="textblock"><code>#include "<a class="el" href="arm__compute_2core_2_types_8h_source.xhtml">arm_compute/core/Types.h</a>"</code><br /> |
| <code>#include "<a class="el" href="_c_l_convolution_8h_source.xhtml">arm_compute/runtime/CL/functions/CLConvolution.h</a>"</code><br /> |
| <code>#include "<a class="el" href="runtime_2_tensor_8h_source.xhtml">arm_compute/runtime/Tensor.h</a>"</code><br /> |
| <code>#include "<a class="el" href="_tensor_allocator_8h_source.xhtml">arm_compute/runtime/TensorAllocator.h</a>"</code><br /> |
| <code>#include "<a class="el" href="_c_l_accessor_8h_source.xhtml">tests/CL/CLAccessor.h</a>"</code><br /> |
| <code>#include "<a class="el" href="_padding_calculator_8h_source.xhtml">tests/PaddingCalculator.h</a>"</code><br /> |
| <code>#include "<a class="el" href="_border_mode_dataset_8h_source.xhtml">tests/datasets/BorderModeDataset.h</a>"</code><br /> |
| <code>#include "<a class="el" href="_shape_datasets_8h_source.xhtml">tests/datasets/ShapeDatasets.h</a>"</code><br /> |
| <code>#include "<a class="el" href="_asserts_8h_source.xhtml">tests/framework/Asserts.h</a>"</code><br /> |
| <code>#include "<a class="el" href="tests_2framework_2_macros_8h_source.xhtml">tests/framework/Macros.h</a>"</code><br /> |
| <code>#include "<a class="el" href="_datasets_8h_source.xhtml">tests/framework/datasets/Datasets.h</a>"</code><br /> |
| <code>#include "<a class="el" href="_validation_8h_source.xhtml">tests/validation/Validation.h</a>"</code><br /> |
| <code>#include "<a class="el" href="_convolution_fixture_8h_source.xhtml">tests/validation/fixtures/ConvolutionFixture.h</a>"</code><br /> |
| </div> |
| <p><a href="_c_l_2_convolution_8cpp_source.xhtml">Go to the source code of this file.</a></p> |
| <table class="memberdecls"> |
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| Namespaces</h2></td></tr> |
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| <tr class="memitem:namespacearm__compute_1_1test_1_1validation"><td class="memItemLeft" align="right" valign="top">  </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml">arm_compute::test::validation</a></td></tr> |
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| Typedefs</h2></td></tr> |
| <tr class="memitem:a65eece68a5004908363ee0e6dde74570"><td class="memTemplParams" colspan="2">template<typename T > </td></tr> |
| <tr class="memitem:a65eece68a5004908363ee0e6dde74570"><td class="memTemplItemLeft" align="right" valign="top">using </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a65eece68a5004908363ee0e6dde74570">CLConvolutionFixture</a> = ConvolutionSquareValidationFixture< CLTensor, CLAccessor, CLConvolution3x3, T ></td></tr> |
| <tr class="separator:a65eece68a5004908363ee0e6dde74570"><td class="memSeparator" colspan="2"> </td></tr> |
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| Functions</h2></td></tr> |
| <tr class="memitem:aeb814e22229941c876c5013b7699d073"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#aeb814e22229941c876c5013b7699d073">DATA_TEST_CASE</a> (Configuration, framework::DatasetMode::ALL, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("DataType",{DataType::U8, DataType::S16})), datasets::BorderModes()), framework::dataset::make("filter_size",{3})), shape, output_data_type, border_mode, filter_size)</td></tr> |
| <tr class="separator:aeb814e22229941c876c5013b7699d073"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a08cbd74411ed7ed730f29825107a7d93"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a08cbd74411ed7ed730f29825107a7d93">FIXTURE_DATA_TEST_CASE</a> (RunSmall, CLConvolutionFixture< uint8_t >, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::U8)), datasets::BorderModes()), framework::dataset::make("filter_size",{3})))</td></tr> |
| <tr class="separator:a08cbd74411ed7ed730f29825107a7d93"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ab242a9ffd5d757f3ac97d085bbd415b4"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab242a9ffd5d757f3ac97d085bbd415b4">FIXTURE_DATA_TEST_CASE</a> (RunLarge, CLConvolutionFixture< uint8_t >, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::U8)), datasets::BorderModes()), framework::dataset::make("filter_size",{3})))</td></tr> |
| <tr class="separator:ab242a9ffd5d757f3ac97d085bbd415b4"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aeffcd974ac47207f01ae51e313ddb6fe"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#aeffcd974ac47207f01ae51e313ddb6fe">FIXTURE_DATA_TEST_CASE</a> (RunSmall, CLConvolutionFixture< int16_t >, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::S16)), datasets::BorderModes()), framework::dataset::make("filter_size",{3})))</td></tr> |
| <tr class="separator:aeffcd974ac47207f01ae51e313ddb6fe"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a34afe7180831effba57d21c1f9afb496"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a34afe7180831effba57d21c1f9afb496">FIXTURE_DATA_TEST_CASE</a> (RunLarge, CLConvolutionFixture< int16_t >, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::S16)), datasets::BorderModes()), framework::dataset::make("filter_size",{3})))</td></tr> |
| <tr class="separator:a34afe7180831effba57d21c1f9afb496"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a38fe4b20a05bbaa1c844f3d7a19791ae"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a38fe4b20a05bbaa1c844f3d7a19791ae">TEST_SUITE_END</a> () <a class="el" href="tests_2validation_2_u_n_i_t_2_utils_8cpp.xhtml#a9e461b3ac0012c8c7193c1e180c91f67">DATA_TEST_CASE</a>(Configuration = ConvolutionSeparableValidationFixture<CLTensor, CLAccessor, CLConvolution5x5, T></td></tr> |
| <tr class="separator:a38fe4b20a05bbaa1c844f3d7a19791ae"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ad2b4e88e166416d979a049064877b2ca"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a> (combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("DataType",{DataType::U8, DataType::S16})), datasets::BorderModes()), framework::dataset::make("filter_size",{5}))</td></tr> |
| <tr class="separator:ad2b4e88e166416d979a049064877b2ca"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:af3c1de77fd86df539395c75c17ec230e"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e">ARM_COMPUTE_EXPECT</a> (src.info() ->is_resizable(), framework::LogLevel::ERRORS)</td></tr> |
| <tr class="separator:af3c1de77fd86df539395c75c17ec230e"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aedc846191741fb759460952ef3dbf6d2"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#aedc846191741fb759460952ef3dbf6d2">ARM_COMPUTE_EXPECT</a> (dst.info() ->is_resizable(), framework::LogLevel::ERRORS)</td></tr> |
| <tr class="separator:aedc846191741fb759460952ef3dbf6d2"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a6813132c943295888972727864ea5c2f"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6813132c943295888972727864ea5c2f">validate</a> (dst.info() ->valid_region(), dst_valid_region)</td></tr> |
| <tr class="separator:a6813132c943295888972727864ea5c2f"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a9374ade0a8f9d2e8b1831942a2247700"><td class="memItemLeft" align="right" valign="top">PaddingCalculator </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9374ade0a8f9d2e8b1831942a2247700">calculator</a> (shape.x(), 8)</td></tr> |
| <tr class="separator:a9374ade0a8f9d2e8b1831942a2247700"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:abcfccf084ad91a392cf08d5ff43df58b"><td class="memItemLeft" align="right" valign="top">calculator </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#abcfccf084ad91a392cf08d5ff43df58b">set_border_size</a> (2)</td></tr> |
| <tr class="separator:abcfccf084ad91a392cf08d5ff43df58b"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a97f70c1390d9c076f79253311bc1c929"><td class="memItemLeft" align="right" valign="top">calculator </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a97f70c1390d9c076f79253311bc1c929">set_border_mode</a> (border_mode)</td></tr> |
| <tr class="separator:a97f70c1390d9c076f79253311bc1c929"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ac613cfb8cf4e990c42e0e7ef57bf6fad"><td class="memItemLeft" align="right" valign="top">calculator </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac613cfb8cf4e990c42e0e7ef57bf6fad">set_accessed_elements</a> (16)</td></tr> |
| <tr class="separator:ac613cfb8cf4e990c42e0e7ef57bf6fad"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ab306b4db66afa5d062617ebf70cb6c62"><td class="memItemLeft" align="right" valign="top">calculator </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab306b4db66afa5d062617ebf70cb6c62">set_access_offset</a> (-2)</td></tr> |
| <tr class="separator:ab306b4db66afa5d062617ebf70cb6c62"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a14d61c73a88e02b1911b967640f8b383"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a14d61c73a88e02b1911b967640f8b383">validate</a> (src.info() -><a class="el" href="hwc_8hpp.xhtml#ad487ce76e40f524a7f5e350763b91ae5">padding</a>(), src_padding)</td></tr> |
| <tr class="separator:a14d61c73a88e02b1911b967640f8b383"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a06c8638559b9de713abe0badcb413259"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a06c8638559b9de713abe0badcb413259">validate</a> (dst.info() -><a class="el" href="hwc_8hpp.xhtml#ad487ce76e40f524a7f5e350763b91ae5">padding</a>(), dst_padding)</td></tr> |
| <tr class="separator:a06c8638559b9de713abe0badcb413259"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ab52786a4da64f89914dd92177efcf893"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab52786a4da64f89914dd92177efcf893">FIXTURE_DATA_TEST_CASE</a> (RunSmall, CLConvolutionFixture< uint8_t >, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::U8)), datasets::BorderModes()), framework::dataset::make("filter_size",{5})))</td></tr> |
| <tr class="separator:ab52786a4da64f89914dd92177efcf893"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ab1d19eed972d2fff3c9d618804046be7"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab1d19eed972d2fff3c9d618804046be7">FIXTURE_DATA_TEST_CASE</a> (RunLarge, CLConvolutionFixture< uint8_t >, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::U8)), datasets::BorderModes()), framework::dataset::make("filter_size",{5})))</td></tr> |
| <tr class="separator:ab1d19eed972d2fff3c9d618804046be7"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aca6e04af44f71c223f0aab16ecd52aee"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#aca6e04af44f71c223f0aab16ecd52aee">FIXTURE_DATA_TEST_CASE</a> (RunSmall, CLConvolutionFixture< int16_t >, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::S16)), datasets::BorderModes()), framework::dataset::make("filter_size",{5})))</td></tr> |
| <tr class="separator:aca6e04af44f71c223f0aab16ecd52aee"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a9e76a9edbaa33ac9e125f9caa15d9f70"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9e76a9edbaa33ac9e125f9caa15d9f70">FIXTURE_DATA_TEST_CASE</a> (RunLarge, CLConvolutionFixture< int16_t >, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::S16)), datasets::BorderModes()), framework::dataset::make("filter_size",{5})))</td></tr> |
| <tr class="separator:a9e76a9edbaa33ac9e125f9caa15d9f70"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aabbcfe26212231852ea00f23c767e423"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#aabbcfe26212231852ea00f23c767e423">combine</a> (combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("DataType",{DataType::U8, DataType::S16})), datasets::BorderModes()), framework::dataset::make("filter_size",{7}))</td></tr> |
| <tr class="separator:aabbcfe26212231852ea00f23c767e423"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a97a9454a2282b20529391755a0b5c41a"><td class="memItemLeft" align="right" valign="top">calculator </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a97a9454a2282b20529391755a0b5c41a">set_border_size</a> (3)</td></tr> |
| <tr class="separator:a97a9454a2282b20529391755a0b5c41a"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a4c712ab948ac1c8c85af79211b730d00"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4c712ab948ac1c8c85af79211b730d00">FIXTURE_DATA_TEST_CASE</a> (RunSmall, CLConvolutionFixture< uint8_t >, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::U8)), datasets::BorderModes()), framework::dataset::make("filter_size",{7})))</td></tr> |
| <tr class="separator:a4c712ab948ac1c8c85af79211b730d00"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ab87bfc82055cfa13e621c75d683d9575"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab87bfc82055cfa13e621c75d683d9575">FIXTURE_DATA_TEST_CASE</a> (RunLarge, CLConvolutionFixture< uint8_t >, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::U8)), datasets::BorderModes()), framework::dataset::make("filter_size",{7})))</td></tr> |
| <tr class="separator:ab87bfc82055cfa13e621c75d683d9575"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a74579e973f53f32d011896745f97ff1c"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a74579e973f53f32d011896745f97ff1c">FIXTURE_DATA_TEST_CASE</a> (RunSmall, CLConvolutionFixture< int16_t >, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::S16)), datasets::BorderModes()), framework::dataset::make("filter_size",{7})))</td></tr> |
| <tr class="separator:a74579e973f53f32d011896745f97ff1c"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aef435abd1abe23679fd082b3eacf11d1"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#aef435abd1abe23679fd082b3eacf11d1">FIXTURE_DATA_TEST_CASE</a> (RunLarge, CLConvolutionFixture< int16_t >, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::S16)), datasets::BorderModes()), framework::dataset::make("filter_size",{7})))</td></tr> |
| <tr class="separator:aef435abd1abe23679fd082b3eacf11d1"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a71073c5e35dcb14d585a8ee53ec2b99e"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a71073c5e35dcb14d585a8ee53ec2b99e">combine</a> (combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("DataType",{DataType::U8, DataType::S16})), datasets::BorderModes()), framework::dataset::make("filter_size",{9}))</td></tr> |
| <tr class="separator:a71073c5e35dcb14d585a8ee53ec2b99e"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a3962439d4d00a39d9efcfb29278b48f1"><td class="memItemLeft" align="right" valign="top">calculator </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3962439d4d00a39d9efcfb29278b48f1">set_border_size</a> (4)</td></tr> |
| <tr class="separator:a3962439d4d00a39d9efcfb29278b48f1"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a63d68d5722fea672c362e49145dfff97"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a63d68d5722fea672c362e49145dfff97">FIXTURE_DATA_TEST_CASE</a> (RunSmall, CLConvolutionFixture< uint8_t >, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::U8)), datasets::BorderModes()), framework::dataset::make("filter_size",{9})))</td></tr> |
| <tr class="separator:a63d68d5722fea672c362e49145dfff97"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a11f96217af62600d27752ea01ee51065"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a11f96217af62600d27752ea01ee51065">FIXTURE_DATA_TEST_CASE</a> (RunLarge, CLConvolutionFixture< uint8_t >, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::U8)), datasets::BorderModes()), framework::dataset::make("filter_size",{9})))</td></tr> |
| <tr class="separator:a11f96217af62600d27752ea01ee51065"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ad8652cd24f24fb42cf9ab6f43d7824e2"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad8652cd24f24fb42cf9ab6f43d7824e2">FIXTURE_DATA_TEST_CASE</a> (RunSmall, CLConvolutionFixture< int16_t >, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::S16)), datasets::BorderModes()), framework::dataset::make("filter_size",{9})))</td></tr> |
| <tr class="separator:ad8652cd24f24fb42cf9ab6f43d7824e2"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aa101f7b737bb2dbeaf03aff23340dbe9"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa101f7b737bb2dbeaf03aff23340dbe9">FIXTURE_DATA_TEST_CASE</a> (RunLarge, CLConvolutionFixture< int16_t >, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::S16)), datasets::BorderModes()), framework::dataset::make("filter_size",{9})))</td></tr> |
| <tr class="separator:aa101f7b737bb2dbeaf03aff23340dbe9"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ad08070d656104d109acf59951dd3c456"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad08070d656104d109acf59951dd3c456">combine</a> (combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("DataType",{DataType::U8, DataType::S16})), |
| datasets::BorderModes()), |
| framework::dataset::make("filter_width",{3, 5, 7, 9})), framework::dataset::make("filter_height",{3, 5, 7, 9}))</td></tr> |
| <tr class="separator:ad08070d656104d109acf59951dd3c456"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aae364968da28604884452ee304580304"><td class="memItemLeft" align="right" valign="top">calculator </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#aae364968da28604884452ee304580304">set_border_size</a> (filter_width/2)</td></tr> |
| <tr class="separator:aae364968da28604884452ee304580304"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a25638bd9e4ad41227394df07f79da831"><td class="memItemLeft" align="right" valign="top">calculator </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a25638bd9e4ad41227394df07f79da831">set_access_offset</a> (-(filter_width/2))</td></tr> |
| <tr class="separator:a25638bd9e4ad41227394df07f79da831"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a32a18ff5b6cbd573dc608b1f56991cce"><td class="memItemLeft" align="right" valign="top">calculator </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a32a18ff5b6cbd573dc608b1f56991cce">set_border_size</a> (filter_height/2)</td></tr> |
| <tr class="separator:a32a18ff5b6cbd573dc608b1f56991cce"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a114d451ec0195556af0997ba5d8bdb18"><td class="memItemLeft" align="right" valign="top">calculator </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a114d451ec0195556af0997ba5d8bdb18">set_access_offset</a> (-(filter_height/2))</td></tr> |
| <tr class="separator:a114d451ec0195556af0997ba5d8bdb18"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a5e4b6b68aa02e54d0cfa7925aacfeba0"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5e4b6b68aa02e54d0cfa7925aacfeba0">validate</a> (src.info() -><a class="el" href="hwc_8hpp.xhtml#ad487ce76e40f524a7f5e350763b91ae5">padding</a>(), width_padding, height_padding)</td></tr> |
| <tr class="separator:a5e4b6b68aa02e54d0cfa7925aacfeba0"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a80e8591ab0ce549e9f34d5f482674f7f"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a80e8591ab0ce549e9f34d5f482674f7f">FIXTURE_DATA_TEST_CASE</a> (RunSmall, CLConvolutionFixture< uint8_t >, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::U8)), datasets::BorderModes()), framework::dataset::make("filter_width",{3, 5, 7, 9})), framework::dataset::make("filter_height",{3, 5, 7, 9})))</td></tr> |
| <tr class="separator:a80e8591ab0ce549e9f34d5f482674f7f"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ac69146faca50785c3faddb3700bcdba8"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac69146faca50785c3faddb3700bcdba8">FIXTURE_DATA_TEST_CASE</a> (RunLarge, CLConvolutionFixture< uint8_t >, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::U8)), datasets::BorderModes()), framework::dataset::make("filter_width",{3, 5, 7, 9})), framework::dataset::make("filter_height",{3, 5, 7, 9})))</td></tr> |
| <tr class="separator:ac69146faca50785c3faddb3700bcdba8"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ac0001e15968945f0d010f127a7bf3c73"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac0001e15968945f0d010f127a7bf3c73">FIXTURE_DATA_TEST_CASE</a> (RunSmall, CLConvolutionFixture< int16_t >, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::S16)), datasets::BorderModes()), framework::dataset::make("filter_width",{3, 5, 7, 9})), framework::dataset::make("filter_height",{3, 5, 7, 9})))</td></tr> |
| <tr class="separator:ac0001e15968945f0d010f127a7bf3c73"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a2b2e2e066dc55a1d9eb3331b100f1a97"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2b2e2e066dc55a1d9eb3331b100f1a97">FIXTURE_DATA_TEST_CASE</a> (RunLarge, CLConvolutionFixture< int16_t >, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::S16)), datasets::BorderModes()), framework::dataset::make("filter_width",{3, 5, 7, 9})), framework::dataset::make("filter_height",{3, 5, 7, 9})))</td></tr> |
| <tr class="separator:a2b2e2e066dc55a1d9eb3331b100f1a97"><td class="memSeparator" colspan="2"> </td></tr> |
| </table><table class="memberdecls"> |
| <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="var-members"></a> |
| Variables</h2></td></tr> |
| <tr class="memitem:a45cde9abb508c62d67c3bb2b9bf566a5"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a></td></tr> |
| <tr class="separator:a45cde9abb508c62d67c3bb2b9bf566a5"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aa30f40707893f8201695a2c20e2d8c7d"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa30f40707893f8201695a2c20e2d8c7d">output_data_type</a></td></tr> |
| <tr class="separator:aa30f40707893f8201695a2c20e2d8c7d"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a5471e46933e7a9c4709972d91fc4ea65"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5471e46933e7a9c4709972d91fc4ea65">border_mode</a></td></tr> |
| <tr class="separator:a5471e46933e7a9c4709972d91fc4ea65"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a2237230a1357685ba2472c2d6fca17fa"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2237230a1357685ba2472c2d6fca17fa">filter_size</a></td></tr> |
| <tr class="separator:a2237230a1357685ba2472c2d6fca17fa"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:adbf67dcee294e673cf796f1ed8aeb6a4"><td class="memItemLeft" align="right" valign="top">CLTensor </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a> = create_tensor<CLTensor>(shape, output_data_type)</td></tr> |
| <tr class="separator:adbf67dcee294e673cf796f1ed8aeb6a4"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:adf88bb8e946175c496fb362aa458128b"><td class="memItemLeft" align="right" valign="top">int16_t </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#adf88bb8e946175c496fb362aa458128b">conv</a> [25] = {}</td></tr> |
| <tr class="separator:adf88bb8e946175c496fb362aa458128b"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ae38161fda91461cff23b750a95e47e6f"><td class="memItemLeft" align="right" valign="top">CLConvolution5x5 </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae38161fda91461cff23b750a95e47e6f">convolution</a></td></tr> |
| <tr class="separator:ae38161fda91461cff23b750a95e47e6f"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a6743f0a130e8311e6f5b1a23df102472"><td class="memItemLeft" align="right" valign="top">convolution configure & </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a></td></tr> |
| <tr class="separator:a6743f0a130e8311e6f5b1a23df102472"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a1c697c8d77faa9d6f180635d6509873c"><td class="memItemLeft" align="right" valign="top">const ValidRegion </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1c697c8d77faa9d6f180635d6509873c">dst_valid_region</a> = shape_to_valid_region(shape, (border_mode == BorderMode::UNDEFINED), BorderSize(filter_size / 2))</td></tr> |
| <tr class="separator:a1c697c8d77faa9d6f180635d6509873c"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a78ba31dffb7eb7f94cf5821f0092bf67"><td class="memItemLeft" align="right" valign="top">const PaddingSize </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a78ba31dffb7eb7f94cf5821f0092bf67">dst_padding</a> = calculator.required_padding()</td></tr> |
| <tr class="separator:a78ba31dffb7eb7f94cf5821f0092bf67"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ac5b50eb53d8a57ca72c8db8b2ce66e2d"><td class="memItemLeft" align="right" valign="top">const PaddingSize </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac5b50eb53d8a57ca72c8db8b2ce66e2d">src_padding</a> = calculator.required_padding()</td></tr> |
| <tr class="separator:ac5b50eb53d8a57ca72c8db8b2ce66e2d"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a23a07c975b13e0133e838d850dcf30c5"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a23a07c975b13e0133e838d850dcf30c5">filter_width</a></td></tr> |
| <tr class="separator:a23a07c975b13e0133e838d850dcf30c5"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ab9960ce2e784cfff275d273c1810797f"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab9960ce2e784cfff275d273c1810797f">filter_height</a></td></tr> |
| <tr class="separator:ab9960ce2e784cfff275d273c1810797f"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aff72626973dbadf0707b4a4f6c8550e4"><td class="memItemLeft" align="right" valign="top">const PaddingSize </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#aff72626973dbadf0707b4a4f6c8550e4">width_padding</a> = calculator.required_padding()</td></tr> |
| <tr class="separator:aff72626973dbadf0707b4a4f6c8550e4"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ae0210d32981a022a70b0c79551434cea"><td class="memItemLeft" align="right" valign="top">const PaddingSize </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae0210d32981a022a70b0c79551434cea">height_padding</a> = calculator.required_padding()</td></tr> |
| <tr class="separator:ae0210d32981a022a70b0c79551434cea"><td class="memSeparator" colspan="2"> </td></tr> |
| </table> |
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| <li class="navelem"><a class="el" href="dir_59425e443f801f1f2fd8bbe4959a3ccf.xhtml">tests</a></li><li class="navelem"><a class="el" href="dir_e7c7b16542faa38cb4655ff1750d3604.xhtml">validation</a></li><li class="navelem"><a class="el" href="dir_f7024513cd67abef53e86ee9382ac5ce.xhtml">CL</a></li><li class="navelem"><a class="el" href="_c_l_2_convolution_8cpp.xhtml">Convolution.cpp</a></li> |
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