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<div class="title">DepthwiseConvolutionLayer.cpp</div> </div>
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<a href="validation_2_c_l_2_depthwise_convolution_layer_8cpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span>&#160;<span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment"> * Copyright (c) 2017-2019 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;<span class="comment"> * of this software and associated documentation files (the &quot;Software&quot;), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="comment"> * THE SOFTWARE IS PROVIDED &quot;AS IS&quot;, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;<span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;<span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;<span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;<span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;<span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="arm__compute_2core_2_types_8h.xhtml">arm_compute/core/Types.h</a>&quot;</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_l_tensor_8h.xhtml">arm_compute/runtime/CL/CLTensor.h</a>&quot;</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_l_tensor_allocator_8h.xhtml">arm_compute/runtime/CL/CLTensorAllocator.h</a>&quot;</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_l_depthwise_convolution_layer_8h.xhtml">arm_compute/runtime/CL/functions/CLDepthwiseConvolutionLayer.h</a>&quot;</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_l_accessor_8h.xhtml">tests/CL/CLAccessor.h</a>&quot;</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_padding_calculator_8h.xhtml">tests/PaddingCalculator.h</a>&quot;</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160;<span class="preprocessor">#include &quot;tests/datasets/DepthwiseConvolutionLayerDataset.h&quot;</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;<span class="preprocessor">#include &quot;tests/datasets/DilatedDepthwiseConvolutionLayerDataset.h&quot;</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_asserts_8h.xhtml">tests/framework/Asserts.h</a>&quot;</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="tests_2framework_2_macros_8h.xhtml">tests/framework/Macros.h</a>&quot;</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_datasets_8h.xhtml">tests/framework/datasets/Datasets.h</a>&quot;</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_validation_8h.xhtml">tests/validation/Validation.h</a>&quot;</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;<span class="preprocessor">#include &quot;tests/validation/fixtures/DepthwiseConvolutionLayerFixture.h&quot;</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160;{</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160;<span class="keyword">namespace </span>test</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160;{</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160;<span class="keyword">namespace </span>validation</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160;{</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160;<span class="keyword">namespace</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160;{</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160;RelativeTolerance&lt;half_float::half&gt; tolerance_f16(<a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half_float::half</a>(0.01)); </div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160;constexpr RelativeTolerance&lt;float&gt; tolerance_f32(0.01f); </div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160;constexpr AbsoluteTolerance&lt;uint8_t&gt; tolerance_qasymm8(0); </div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160;constexpr <span class="keywordtype">float</span> tolerance_num = 0.05f; </div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160;<span class="keyword">const</span> <span class="keyword">auto</span> depth_multipliers = <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DepthMultiplier&quot;</span>, { 1, 2, 5 });</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160;<span class="keyword">const</span> <span class="keyword">auto</span> large_depth_multipliers = <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DepthMultiplier&quot;</span>, { 1, 2, 5, 8 });</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160;</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160;<span class="comment">//Activation Functions</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160;<span class="keyword">const</span> <span class="keyword">auto</span> ActivationFunctionsDataset = <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;ActivationInfo&quot;</span>,</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160;{</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; ActivationLayerInfo(),</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; ActivationLayerInfo(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>)</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160;});</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160;} <span class="comment">// namespace</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160;</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(CL)</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(DepthwiseConvolutionLayer)</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160;<span class="comment">// *INDENT-OFF*</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160;<span class="comment">// clang-format off</span></div><div class="line"><a name="l00067"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#aed5f7a9b1bde3cc3a789cd674974e254"> 67</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f1266d183bfb4d479ec334fed85dc27">DATA_TEST_CASE</a>(Validate3x3, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::ALL, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a96f9e78d0c2a93f0e3a876eeae4be4b0">zip</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a96f9e78d0c2a93f0e3a876eeae4be4b0">zip</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a96f9e78d0c2a93f0e3a876eeae4be4b0">zip</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a96f9e78d0c2a93f0e3a876eeae4be4b0">zip</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a96f9e78d0c2a93f0e3a876eeae4be4b0">zip</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a96f9e78d0c2a93f0e3a876eeae4be4b0">zip</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a96f9e78d0c2a93f0e3a876eeae4be4b0">zip</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a96f9e78d0c2a93f0e3a876eeae4be4b0">zip</a>(</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;InputInfo&quot;, { <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(32U, 18U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>), <span class="comment">// Mismatching data type input/weights</span></div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(32U, 18U, 3U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>), <span class="comment">// Mismatching input feature maps</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(32U, 18U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>), <span class="comment">// Unsupported weights dimensions</span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(32U, 18U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>), <span class="comment">// Unsupported activation</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(32U, 18U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>), <span class="comment">// Mismatching depth multiplier</span></div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(32U, 18U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>), <span class="comment">// Invalid stride</span></div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(32U, 18U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>), <span class="comment">// Invalid biases size</span></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(32U, 18U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>), <span class="comment">// Invalid biases dimensions</span></div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(32U, 18U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>), <span class="comment">// Invalid output size</span></div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(27U, 13U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>), <span class="comment">// Window shrink</span></div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(32U, 18U, 8U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>), <span class="comment">// patch size bigger than input width</span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(32U, 18U, 8U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>), <span class="comment">// dilation &lt; 1</span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(32U, 18U, 8U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(50U, 32U, 8U), 1, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>),</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; }),</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;WeightsInfo&quot;</span>, { <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(3U, 3U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>),</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(3U, 3U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(5U, 5U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(3U, 3U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>),</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(3U, 3U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(3U, 3U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(3U, 3U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(3U, 3U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(3U, 3U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(3U, 3U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(3U, 3U, 16U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(3U, 3U, 16U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(3U, 3U, 16U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(3U, 3U, 24U), 1, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>),</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; 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<a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a>),</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(4U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(2U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(16U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(16U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(16U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(24U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a>),</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; })),</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;OutputInfo&quot;</span>, { TensorInfo(TensorShape(30U, 16U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; TensorInfo(TensorShape(30U, 16U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; TensorInfo(TensorShape(30U, 16U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; TensorInfo(TensorShape(30U, 16U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>),</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; TensorInfo(TensorShape(30U, 16U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; TensorInfo(TensorShape(30U, 16U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; TensorInfo(TensorShape(30U, 16U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; TensorInfo(TensorShape(30U, 16U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; TensorInfo(TensorShape(32U, 18U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; TensorInfo(TensorShape(25U, 11U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; TensorInfo(TensorShape(30U, 16U, 16U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; TensorInfo(TensorShape(30U, 16U, 16U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; TensorInfo(TensorShape(30U, 16U, 16U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; TensorInfo(TensorShape(48U, 30U, 24U), 1, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>),</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; })),</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;ConvInfo&quot;</span>, { PadStrideInfo(1, 1, 0, 0),</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; PadStrideInfo(1, 1, 0, 0),</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; PadStrideInfo(1, 1, 0, 0),</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; PadStrideInfo(1, 1, 0, 0),</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; PadStrideInfo(1, 1, 0, 0),</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; PadStrideInfo(4, 1, 0, 0),</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; PadStrideInfo(1, 1, 0, 0),</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; PadStrideInfo(1, 1, 0, 0),</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; PadStrideInfo(1, 1, 0, 0),</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; PadStrideInfo(1, 1, 0, 0),</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; PadStrideInfo(1, 1, 0, 0),</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; PadStrideInfo(1, 1, 0, 0),</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; PadStrideInfo(1, 1, 0, 0),</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; PadStrideInfo(1, 1, 0, 0),</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; })),</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DepthMultiplier&quot;</span>, { 1,</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; 1,</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; 1,</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; 1,</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; 3,</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; 1,</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; 1,</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; 1,</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; 1,</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; 1,</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; 2,</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; 2,</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; 2,</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; 3,</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; })),</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;ActivationInfo&quot;</span>, { ActivationLayerInfo(),</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; ActivationLayerInfo(),</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; ActivationLayerInfo(),</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; ActivationLayerInfo(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaaaac544aacc3615aada24897a215f5046">ActivationLayerInfo::ActivationFunction::LINEAR</a>),</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; ActivationLayerInfo(),</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; ActivationLayerInfo(),</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; ActivationLayerInfo(),</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; ActivationLayerInfo(),</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; ActivationLayerInfo(),</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160; ActivationLayerInfo(),</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; ActivationLayerInfo(),</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; ActivationLayerInfo(),</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; ActivationLayerInfo(),</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; ActivationLayerInfo(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>),</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160; })),</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;Dilation&quot;</span>, { Size2D(1U, 1U),</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160; Size2D(1U, 1U),</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160; Size2D(1U, 1U),</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; Size2D(1U, 1U),</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; Size2D(1U, 1U),</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160; Size2D(1U, 1U),</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160; Size2D(1U, 1U),</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160; Size2D(1U, 1U),</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160; Size2D(1U, 1U),</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160; Size2D(1U, 1U),</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160; Size2D(20U, 1U),</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; Size2D(0U, 1U),</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; Size2D(1U, 1U),</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160; Size2D(1U, 1U),</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160; })),</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;Expected&quot;</span>, { <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">true</span>, <span class="keyword">true</span> })),</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160; 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<span class="keywordtype">bool</span> is_valid = bool(<a class="code" href="classarm__compute_1_1_c_l_depthwise_convolution_layer3x3.xhtml#a87b0b2b008eb501d650caddecf96ee63">CLDepthwiseConvolutionLayer3x3::validate</a>(&amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae008e90eb6906fa3526213bc860f6cc5">input_info</a>.clone()-&gt;set_is_resizable(<span class="keyword">false</span>), &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7cb842ebfe255726066039853a4322f0">weights_info</a>.clone()-&gt;set_is_resizable(<span class="keyword">false</span>), &amp;biases_info.clone()-&gt;set_is_resizable(<span class="keyword">false</span>), &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a25cae7166733a51d1354f3f395652782">output_info</a>.clone()-&gt;set_is_resizable(<span class="keyword">false</span>), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>, depth_multiplier, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f8aca235c095df227e7444f6b237eb1">act_info</a>,<a class="code" href="namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3afa362f4daec88442a387ff7cda411a38">GPUTarget::MIDGARD</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad3fd4136244e42ad89b01c02b904336d">dilation</a>));</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3c8562a1f05d23f44aed87545b7892cf">ARM_COMPUTE_EXPECT</a>(is_valid == <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa6e67bddae371a5731f6d4002e787299">expected</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160;}</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160;</div><div class="line"><a name="l00195"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1746a40504c1600cad5df8b24c2c928e"> 195</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f1266d183bfb4d479ec334fed85dc27">DATA_TEST_CASE</a>(ValidateGeneric, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a96f9e78d0c2a93f0e3a876eeae4be4b0">zip</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a96f9e78d0c2a93f0e3a876eeae4be4b0">zip</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a96f9e78d0c2a93f0e3a876eeae4be4b0">zip</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a96f9e78d0c2a93f0e3a876eeae4be4b0">zip</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a96f9e78d0c2a93f0e3a876eeae4be4b0">zip</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a96f9e78d0c2a93f0e3a876eeae4be4b0">zip</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a96f9e78d0c2a93f0e3a876eeae4be4b0">zip</a>(</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;InputInfo&quot;</span>, { <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(27U, 13U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>), <span class="comment">// Mismatching data type input/weights</span></div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(27U, 13U, 3U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>), <span class="comment">// Mismatching input feature maps</span></div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(27U, 13U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>), <span class="comment">// Mismatching depth multiplier</span></div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(27U, 13U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>), <span class="comment">// Invalid biases size</span></div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(27U, 13U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>), <span class="comment">// Invalid biases dimensions</span></div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(27U, 13U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>), <span class="comment">// Invalid output size</span></div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(27U, 13U, 8U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>), <span class="comment">// patch size bigger than input width</span></div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(27U, 13U, 8U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>), <span class="comment">// dilation &lt; 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<a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(3U, 3U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(3U, 3U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(3U, 3U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(3U, 3U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(3U, 3U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(3U, 3U, 16U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(3U, 3U, 16U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(3U, 3U, 16U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(3U, 3U, 24U), 1, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>),</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160; 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<a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(4U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(2U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(16U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(16U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(16U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(24U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a>),</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160; })),</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;OutputInfo&quot;</span>, { TensorInfo(TensorShape(25U, 11U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160; TensorInfo(TensorShape(25U, 11U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160; TensorInfo(TensorShape(25U, 11U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160; TensorInfo(TensorShape(25U, 11U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160; TensorInfo(TensorShape(25U, 11U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160; TensorInfo(TensorShape(27U, 13U, 2U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160; TensorInfo(TensorShape(25U, 11U, 16U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160; TensorInfo(TensorShape(25U, 11U, 16U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160; TensorInfo(TensorShape(25U, 11U, 16U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>&#160; TensorInfo(TensorShape(32U, 11U, 24U), 1, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>),</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>&#160; })),</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;ConvInfo&quot;</span>, { PadStrideInfo(1, 1, 0, 0),</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>&#160; PadStrideInfo(1, 1, 0, 0),</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>&#160; PadStrideInfo(1, 1, 0, 0),</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160; PadStrideInfo(1, 1, 0, 0),</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160; PadStrideInfo(1, 1, 0, 0),</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>&#160; PadStrideInfo(1, 1, 0, 0),</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>&#160; PadStrideInfo(1, 1, 0, 0),</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>&#160; PadStrideInfo(1, 1, 0, 0),</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160; PadStrideInfo(1, 1, 0, 0),</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160; PadStrideInfo(1, 1, 1, 0),</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160; })),</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DepthMultiplier&quot;</span>, { 1,</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>&#160; 1,</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>&#160; 3,</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>&#160; 1,</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>&#160; 1,</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>&#160; 1,</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>&#160; 2,</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>&#160; 2,</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>&#160; 2,</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>&#160; 3,</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>&#160; })),</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;Dilation&quot;</span>, { Size2D(1U, 1U),</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>&#160; Size2D(1U, 1U),</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>&#160; Size2D(1U, 1U),</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>&#160; Size2D(1U, 1U),</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>&#160; Size2D(1U, 1U),</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>&#160; Size2D(1U, 1U),</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>&#160; Size2D(20U, 1U),</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>&#160; Size2D(0U, 1U),</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>&#160; Size2D(1U, 1U),</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>&#160; Size2D(1U, 1U),</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>&#160; })),</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;Expected&quot;</span>, { <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">true</span>, <span class="keyword">true</span> })),</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae008e90eb6906fa3526213bc860f6cc5">input_info</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7cb842ebfe255726066039853a4322f0">weights_info</a>, biases_info, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a25cae7166733a51d1354f3f395652782">output_info</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>, depth_multiplier, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad3fd4136244e42ad89b01c02b904336d">dilation</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa6e67bddae371a5731f6d4002e787299">expected</a>)</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>&#160;{</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>&#160; <span class="keywordtype">bool</span> is_valid = bool(<a class="code" href="classarm__compute_1_1_c_l_depthwise_convolution_layer.xhtml#a4bc5903a6da554c4cd38d2b123d30a4f">CLDepthwiseConvolutionLayer::validate</a>(&amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae008e90eb6906fa3526213bc860f6cc5">input_info</a>.clone()-&gt;set_is_resizable(<span class="keyword">true</span>), &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7cb842ebfe255726066039853a4322f0">weights_info</a>.clone()-&gt;set_is_resizable(<span class="keyword">true</span>), &amp;biases_info.clone()-&gt;set_is_resizable(<span class="keyword">true</span>), &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a25cae7166733a51d1354f3f395652782">output_info</a>.clone()-&gt;set_is_resizable(<span class="keyword">true</span>), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>, depth_multiplier,ActivationLayerInfo(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad3fd4136244e42ad89b01c02b904336d">dilation</a>));</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3c8562a1f05d23f44aed87545b7892cf">ARM_COMPUTE_EXPECT</a>(is_valid == <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa6e67bddae371a5731f6d4002e787299">expected</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>&#160;}</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>&#160;<span class="comment">// clang-format on</span></div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>&#160;<span class="comment">// *INDENT-ON*</span></div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>&#160;</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00283"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae133c0063d4112703d30b7f7ae485fce"> 283</a></span>&#160;<span class="keyword">using</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae133c0063d4112703d30b7f7ae485fce">CLDepthwiseConvolutionLayerFixture</a> = DepthwiseConvolutionLayerValidationFixture&lt;CLTensor, CLAccessor, CLDepthwiseConvolutionLayer, T&gt;;</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>&#160;</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(Float)</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(FP16)</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(W3x3)</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(NCHW)</div><div class="line"><a name="l00289"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac862dd7e549bd566454cc7cfb3579dae"> 289</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunSmall, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae133c0063d4112703d30b7f7ae485fce">CLDepthwiseConvolutionLayerFixture</a>&lt;<a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a>&gt;, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::ALL,</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a20b2c46a6ccea85acf64c599a68251d7">concat</a>(datasets::SmallDepthwiseConvolutionLayerDataset3x3(),</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>&#160; datasets::SmallDepthwiseConvolutionLayerDataset3x3NCHW()),</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>&#160; depth_multipliers),</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>&#160; framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;<a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>&quot;,</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>&#160; <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>::F16)),</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>&#160; framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;<a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>&quot;, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::NCHW)),</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>&#160; ActivationFunctionsDataset))</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>&#160;{</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>(_target), _reference, tolerance_f16);</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>&#160;}</div><div class="line"><a name="l00300"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac4bb31587c601dcac65bc051c4238757"> 300</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunLarge, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae133c0063d4112703d30b7f7ae485fce">CLDepthwiseConvolutionLayerFixture&lt;half&gt;</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::LargeDepthwiseConvolutionLayerDataset3x3(),</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>&#160; large_depth_multipliers),</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataType&quot;</span>,</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>&#160; <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>)),</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataLayout&quot;</span>, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>)),</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>&#160; ActivationFunctionsDataset))</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>&#160;{</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>(_target), _reference, tolerance_f16);</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>&#160;}</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(Dilation)</div><div class="line"><a name="l00310"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae0ea53cacfdd93ef2b03428915f64435"> 310</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunSmall, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae133c0063d4112703d30b7f7ae485fce">CLDepthwiseConvolutionLayerFixture</a>&lt;<a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a>&gt;, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::ALL, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(),</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>&#160; depth_multipliers),</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>&#160; framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;<a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>&quot;,</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>&#160; <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>::F16)),</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>&#160; framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;<a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>&quot;, { <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a> })),</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>&#160; ActivationFunctionsDataset))</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>&#160;{</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>(_target), _reference, tolerance_f16);</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>&#160;}</div><div class="line"><a name="l00319"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f62fdbf8d37daf885dec86fe90f818c"> 319</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunLarge, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae133c0063d4112703d30b7f7ae485fce">CLDepthwiseConvolutionLayerFixture&lt;half&gt;</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(),</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>&#160; large_depth_multipliers),</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataType&quot;</span>,</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>&#160; <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>)),</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataLayout&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a> })),</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>&#160; ActivationFunctionsDataset))</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>&#160;{</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>(_target), _reference, tolerance_f16);</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>&#160;}</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// Dilation</span></div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// NCHW</span></div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>&#160;</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(NHWC)</div><div class="line"><a name="l00332"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2437c44063526d22feb88404f431c5c8"> 332</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunSmall, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae133c0063d4112703d30b7f7ae485fce">CLDepthwiseConvolutionLayerFixture</a>&lt;<a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a>&gt;, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::ALL,</div><div class="line"><a name="l00333"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa2610374027f2e967a291bd532942dd8"> 333</a></span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::SmallDepthwiseConvolutionLayerDataset3x3(),</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>&#160; depth_multipliers),</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>&#160; framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;<a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>&quot;,</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>&#160; <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>::F16)),</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>&#160; framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;<a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>&quot;, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::NHWC)),</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>&#160; ActivationFunctionsDataset))</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>&#160;{</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>(_target), _reference, tolerance_f16);</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>&#160;}</div><div class="line"><a name="l00342"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#af84bc1d4dd64d69b2cbc3573a8ee9d2a"> 342</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunLarge, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae133c0063d4112703d30b7f7ae485fce">CLDepthwiseConvolutionLayerFixture&lt;half&gt;</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::LargeDepthwiseConvolutionLayerDataset3x3(),</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>&#160; large_depth_multipliers),</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataType&quot;</span>,</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>&#160; <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>)),</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataLayout&quot;</span>, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a>)),</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>&#160; ActivationFunctionsDataset))</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>&#160;{</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>(_target), _reference, tolerance_f16);</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>&#160;}</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(Dilation)</div><div class="line"><a name="l00352"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a924a9bfd889f0cdab9823be170094675"> 352</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunSmall, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae133c0063d4112703d30b7f7ae485fce">CLDepthwiseConvolutionLayerFixture</a>&lt;<a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a>&gt;, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::ALL, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(),</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>&#160; depth_multipliers),</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>&#160; framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;<a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>&quot;,</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>&#160; <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>::F16)),</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>&#160; framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;<a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>&quot;, { <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a> })),</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>&#160; ActivationFunctionsDataset))</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>&#160;{</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>(_target), _reference, tolerance_f16);</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>&#160;}</div><div class="line"><a name="l00361"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a94955b7d95d6507d5e35f9e95bdf188b"> 361</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunLarge, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae133c0063d4112703d30b7f7ae485fce">CLDepthwiseConvolutionLayerFixture&lt;half&gt;</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(),</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>&#160; large_depth_multipliers),</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataType&quot;</span>,</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>&#160; <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>)),</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataLayout&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a> })),</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>&#160; ActivationFunctionsDataset))</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>&#160;{</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>(_target), _reference, tolerance_f16);</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>&#160;}</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// Dilation</span></div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// NHWC</span></div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// W3x3</span></div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>&#160;</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(Generic)</div><div class="line"><a name="l00375"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a741d89a89433d9975363d4404a06c43b"> 375</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunSmall, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae133c0063d4112703d30b7f7ae485fce">CLDepthwiseConvolutionLayerFixture</a>&lt;<a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a>&gt;, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::ALL, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::SmallDepthwiseConvolutionLayerDataset(),</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>&#160; depth_multipliers),</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>&#160; framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;<a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>&quot;,</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>&#160; <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>::F16)),</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>&#160; framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;<a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>&quot;, { <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a> })),</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>&#160; ActivationFunctionsDataset))</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>&#160;{</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>(_target), _reference, tolerance_f16, tolerance_num);</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>&#160;}</div><div class="line"><a name="l00384"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a90dd1a46ced78a959192aac9b0ebf6d9"> 384</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunLarge, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae133c0063d4112703d30b7f7ae485fce">CLDepthwiseConvolutionLayerFixture&lt;half&gt;</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::LargeDepthwiseConvolutionLayerDataset(),</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>&#160; large_depth_multipliers),</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataType&quot;</span>,</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>&#160; <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>)),</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataLayout&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a> })),</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>&#160; ActivationFunctionsDataset))</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>&#160;{</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>(_target), _reference, tolerance_f16, tolerance_num);</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>&#160;}</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>&#160;</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(Dilation)</div><div class="line"><a name="l00395"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#af0d51427397a892e716faaa8fdd993bb"> 395</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunSmall, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae133c0063d4112703d30b7f7ae485fce">CLDepthwiseConvolutionLayerFixture</a>&lt;<a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a>&gt;, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::ALL, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(),</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>&#160; depth_multipliers),</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>&#160; framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;<a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>&quot;,</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>&#160; <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>::F16)),</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>&#160; framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;<a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>&quot;, { <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a> })),</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>&#160; ActivationFunctionsDataset))</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>&#160;{</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>(_target), _reference, tolerance_f16, tolerance_num);</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>&#160;}</div><div class="line"><a name="l00404"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#ada83c2be138e0e64112ada15832f4965"> 404</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunLarge, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae133c0063d4112703d30b7f7ae485fce">CLDepthwiseConvolutionLayerFixture&lt;half&gt;</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::LargeDepthwiseDilatedConvolutionLayerDataset(),</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>&#160; large_depth_multipliers),</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataType&quot;</span>,</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>&#160; <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>)),</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataLayout&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a> })),</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>&#160; ActivationFunctionsDataset))</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>&#160;{</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>(_target), _reference, tolerance_f16, tolerance_num);</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>&#160;}</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// Dilation</span></div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// Generic</span></div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// FP16</span></div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>&#160;</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(FP32)</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(W3x3)</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(NCHW)</div><div class="line"><a name="l00420"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a98594c5ca9886c14365d813714611c79"> 420</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunSmall, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae133c0063d4112703d30b7f7ae485fce">CLDepthwiseConvolutionLayerFixture</a>&lt;<span class="keywordtype">float</span>&gt;, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::ALL,</div><div class="line"><a name="l00421"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad586fbe518e36bb13dcea2c4b353c80f"> 421</a></span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a20b2c46a6ccea85acf64c599a68251d7">concat</a>(datasets::SmallDepthwiseConvolutionLayerDataset3x3(),</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>&#160; datasets::SmallDepthwiseConvolutionLayerDataset3x3NCHW()),</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>&#160; depth_multipliers),</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>&#160; framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;<a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>&quot;,</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>&#160; <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>::F32)),</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>&#160; framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;<a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>&quot;, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::NCHW)),</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>&#160; ActivationFunctionsDataset))</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>&#160;{</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>(_target), _reference, tolerance_f32);</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>&#160;}</div><div class="line"><a name="l00431"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac11d2c004470eae2e09b1ce6d301cdd6"> 431</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunLarge, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae133c0063d4112703d30b7f7ae485fce">CLDepthwiseConvolutionLayerFixture&lt;float&gt;</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::LargeDepthwiseConvolutionLayerDataset3x3(),</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>&#160; large_depth_multipliers),</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataType&quot;</span>,</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>&#160; <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>)),</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataLayout&quot;</span>, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>)),</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span>&#160; ActivationFunctionsDataset))</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>&#160;{</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>(_target), _reference, tolerance_f32);</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>&#160;}</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(Dilation)</div><div class="line"><a name="l00441"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9b3a18113642e442b580ec601292466a"> 441</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunSmall, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae133c0063d4112703d30b7f7ae485fce">CLDepthwiseConvolutionLayerFixture</a>&lt;<span class="keywordtype">float</span>&gt;, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::ALL,</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(), depth_multipliers),</div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>&#160; framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;<a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>&quot;,</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>&#160; <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>::F32)),</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>&#160; framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;<a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>&quot;, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::NCHW)),</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>&#160; ActivationFunctionsDataset))</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>&#160;{</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>(_target), _reference, tolerance_f32);</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>&#160;}</div><div class="line"><a name="l00450"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6c9a21c24ee248efabcb0e657736671c"> 450</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunLarge, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae133c0063d4112703d30b7f7ae485fce">CLDepthwiseConvolutionLayerFixture&lt;float&gt;</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>,</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(),</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>&#160; large_depth_multipliers),</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataType&quot;</span>,</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>&#160; <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>)),</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataLayout&quot;</span>, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>)),</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>&#160; ActivationFunctionsDataset))</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>&#160;{</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>(_target), _reference, tolerance_f32);</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>&#160;}</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>&#160;</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// Dilation</span></div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// NCHW</span></div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(NHWC)</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunSmall, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae133c0063d4112703d30b7f7ae485fce">CLDepthwiseConvolutionLayerFixture</a>&lt;<span class="keywordtype">float</span>&gt;, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::ALL,</div><div class="line"><a name="l00465"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2dcd6383242254a7b48e1973606865bc"> 465</a></span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::SmallDepthwiseConvolutionLayerDataset3x3(),</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>&#160; depth_multipliers),</div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span>&#160; framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;<a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>&quot;,</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span>&#160; <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>::F32)),</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>&#160; framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;<a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>&quot;, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::NHWC)),</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>&#160; ActivationFunctionsDataset))</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>&#160;{</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>(_target), _reference, tolerance_f32);</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>&#160;}</div><div class="line"><a name="l00474"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a68f1919bbbd85f152b78c00194b97b43"> 474</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunLarge, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae133c0063d4112703d30b7f7ae485fce">CLDepthwiseConvolutionLayerFixture&lt;float&gt;</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::LargeDepthwiseConvolutionLayerDataset3x3(),</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>&#160; large_depth_multipliers),</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataType&quot;</span>,</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>&#160; <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>)),</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataLayout&quot;</span>, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a>)),</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>&#160; ActivationFunctionsDataset))</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>&#160;{</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>(_target), _reference, tolerance_f32);</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>&#160;}</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(Dilation)</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>&#160;</div><div class="line"><a name="l00485"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa1daafbad9dff7a189d76892a980e042"> 485</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunSmall, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae133c0063d4112703d30b7f7ae485fce">CLDepthwiseConvolutionLayerFixture</a>&lt;<span class="keywordtype">float</span>&gt;, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::ALL,</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(),</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span>&#160; depth_multipliers),</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span>&#160; framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;<a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>&quot;,</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>&#160; <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>::F32)),</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>&#160; framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;<a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>&quot;, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::NHWC)),</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>&#160; ActivationFunctionsDataset))</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>&#160;{</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>(_target), _reference, tolerance_f32);</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>&#160;}</div><div class="line"><a name="l00495"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad949070f2384e56a6cdc084278b09a64"> 495</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunLarge, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae133c0063d4112703d30b7f7ae485fce">CLDepthwiseConvolutionLayerFixture&lt;float&gt;</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>,</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(),</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span>&#160; large_depth_multipliers),</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataType&quot;</span>,</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>&#160; <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>)),</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataLayout&quot;</span>, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a>)),</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span>&#160; ActivationFunctionsDataset))</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>&#160;{</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>(_target), _reference, tolerance_f32);</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>&#160;}</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// Dilation</span></div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// NHWC</span></div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// W3x3</span></div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>&#160;</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(Generic)</div><div class="line"><a name="l00510"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a78bf32187286a070d6347f31439d6515"> 510</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunSmall, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae133c0063d4112703d30b7f7ae485fce">CLDepthwiseConvolutionLayerFixture</a>&lt;<span class="keywordtype">float</span>&gt;, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::ALL, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::SmallDepthwiseConvolutionLayerDataset(),</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>&#160; depth_multipliers),</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span>&#160; framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;<a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>&quot;,</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>&#160; <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>::F32)),</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>&#160; framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;<a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>&quot;, { <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a> })),</div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>&#160; ActivationFunctionsDataset))</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>&#160;{</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>(_target), _reference, tolerance_f32);</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>&#160;}</div><div class="line"><a name="l00519"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4d30408266679ea0709a8a10b2abf14e"> 519</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunLarge, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae133c0063d4112703d30b7f7ae485fce">CLDepthwiseConvolutionLayerFixture&lt;float&gt;</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::LargeDepthwiseConvolutionLayerDataset(),</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>&#160; large_depth_multipliers),</div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataType&quot;</span>,</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>&#160; <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>)),</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataLayout&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a> })),</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span>&#160; ActivationFunctionsDataset))</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>&#160;{</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>(_target), _reference, tolerance_f32);</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>&#160;}</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span>&#160;</div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(Dilation)</div><div class="line"><a name="l00530"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a86043fd462c338af745c7c7979e256d3"> 530</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunSmall, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae133c0063d4112703d30b7f7ae485fce">CLDepthwiseConvolutionLayerFixture</a>&lt;<span class="keywordtype">float</span>&gt;, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::ALL, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(),</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>&#160; depth_multipliers),</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>&#160; framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;<a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>&quot;,</div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>&#160; <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>::F32)),</div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>&#160; framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;<a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>&quot;, { <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a> })),</div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>&#160; ActivationFunctionsDataset))</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>&#160;{</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>(_target), _reference, tolerance_f32);</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>&#160;}</div><div class="line"><a name="l00539"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a41e3a3a5c1069bec2dae4130ff9bda20"> 539</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunLarge, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae133c0063d4112703d30b7f7ae485fce">CLDepthwiseConvolutionLayerFixture&lt;float&gt;</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>,</div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(),</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span>&#160; large_depth_multipliers),</div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataType&quot;</span>,</div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>&#160; <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>)),</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataLayout&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a> })),</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>&#160; ActivationFunctionsDataset))</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>&#160;{</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>(_target), _reference, tolerance_f32);</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span>&#160;}</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// Dilation</span></div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// Generic</span></div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// FP32</span></div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// Float</span></div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>&#160;</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>&#160;template &lt;typename T&gt;</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>&#160;using CLDepthwiseConvolutionLayerQuantizedFixture = DepthwiseConvolutionLayerValidationQuantizedFixture&lt;<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a>, CLAccessor, <a class="code" href="classarm__compute_1_1_c_l_depthwise_convolution_layer.xhtml">CLDepthwiseConvolutionLayer</a>, T&gt;;</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>&#160;</div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(Quantized)</div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(QASYMM8)</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(Generic)</div><div class="line"><a name="l00560"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f4c65e6220350d9e80d2439ca8e3c0e"> 560</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunSmall, CLDepthwiseConvolutionLayerQuantizedFixture&lt;uint8_t&gt;, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::PRECOMMIT,</div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::SmallDepthwiseConvolutionLayerDataset(),</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>&#160; depth_multipliers),</div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>&#160; framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;<a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>&quot;, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>::QASYMM8)),</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>&#160; framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;SrcQuantizationInfo&quot;, { <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(0.3f, 10) })),</div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DstQuantizationInfo&quot;</span>, { <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(0.5f, 4) })),</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataLayout&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a> })),</div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>&#160; ActivationFunctionsDataset))</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span>&#160;{</div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(CLAccessor(_target), _reference, tolerance_qasymm8);</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>&#160;}</div><div class="line"><a name="l00571"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9f1c8c88ebb64925caff748dfd9904fd"> 571</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunLarge, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a46215efb57d85d73b814e3a5b3f987c2">CLDepthwiseConvolutionLayerQuantizedFixture&lt;uint8_t&gt;</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>,</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::LargeDepthwiseConvolutionLayerDataset(),</div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span>&#160; large_depth_multipliers),</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataType&quot;</span>, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>)),</div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;SrcQuantizationInfo&quot;</span>, { <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(0.5f, 10) })),</div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DstQuantizationInfo&quot;</span>, { <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(0.7f, 2) })),</div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataLayout&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a> })),</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span>&#160; ActivationFunctionsDataset))</div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span>&#160;{</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(CLAccessor(_target), _reference, tolerance_qasymm8);</div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span>&#160;}</div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(Dilation)</div><div class="line"><a name="l00583"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a328214fde53fb818a527e423bfb384df"> 583</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunSmall, CLDepthwiseConvolutionLayerQuantizedFixture&lt;uint8_t&gt;, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::PRECOMMIT,</div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::SmallDepthwiseDilatedConvolutionLayerDataset(),</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span>&#160; depth_multipliers),</div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span>&#160; framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;<a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>&quot;, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>::QASYMM8)),</div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span>&#160; framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;SrcQuantizationInfo&quot;, { <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(0.5f, 10) })),</div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DstQuantizationInfo&quot;</span>, { <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(0.8, 1) })),</div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataLayout&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a> })),</div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span>&#160; ActivationFunctionsDataset))</div><div class="line"><a name="l00591"></a><span class="lineno"> 591</span>&#160;{</div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(CLAccessor(_target), _reference, tolerance_qasymm8);</div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span>&#160;}</div><div class="line"><a name="l00594"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa7e48dd559716db759df38fe3314e6e2"> 594</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunLarge, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a46215efb57d85d73b814e3a5b3f987c2">CLDepthwiseConvolutionLayerQuantizedFixture&lt;uint8_t&gt;</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>,</div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::LargeDepthwiseDilatedConvolutionLayerDataset(),</div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>&#160; large_depth_multipliers),</div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataType&quot;</span>, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>)),</div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;SrcQuantizationInfo&quot;</span>, { <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(0.5f, 10) })),</div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DstQuantizationInfo&quot;</span>, { <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(0.9f, 11) })),</div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataLayout&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a> })),</div><div class="line"><a name="l00601"></a><span class="lineno"> 601</span>&#160; ActivationFunctionsDataset))</div><div class="line"><a name="l00602"></a><span class="lineno"> 602</span>&#160;{</div><div class="line"><a name="l00603"></a><span class="lineno"> 603</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(CLAccessor(_target), _reference, tolerance_qasymm8);</div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span>&#160;}</div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// Dilation</span></div><div class="line"><a name="l00606"></a><span class="lineno"> 606</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// Generic</span></div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(W3x3)</div><div class="line"><a name="l00608"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a46215efb57d85d73b814e3a5b3f987c2"> 608</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunSmall, CLDepthwiseConvolutionLayerQuantizedFixture&lt;uint8_t&gt;, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::PRECOMMIT,</div><div class="line"><a name="l00609"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3090ca48ca34344dae54defd8d8c271d"> 609</a></span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::SmallDepthwiseConvolutionLayerDataset3x3(),</div><div class="line"><a name="l00610"></a><span class="lineno"> 610</span>&#160; depth_multipliers),</div><div class="line"><a name="l00611"></a><span class="lineno"> 611</span>&#160; framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;<a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>&quot;, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>::QASYMM8)),</div><div class="line"><a name="l00612"></a><span class="lineno"> 612</span>&#160; framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;SrcQuantizationInfo&quot;, { <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(0.3f, 10) })),</div><div class="line"><a name="l00613"></a><span class="lineno"> 613</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DstQuantizationInfo&quot;</span>, { <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(0.5f, 10) })),</div><div class="line"><a name="l00614"></a><span class="lineno"> 614</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataLayout&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a> })),</div><div class="line"><a name="l00615"></a><span class="lineno"> 615</span>&#160; ActivationFunctionsDataset))</div><div class="line"><a name="l00616"></a><span class="lineno"> 616</span>&#160;{</div><div class="line"><a name="l00617"></a><span class="lineno"> 617</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(CLAccessor(_target), _reference, tolerance_qasymm8);</div><div class="line"><a name="l00618"></a><span class="lineno"> 618</span>&#160;}</div><div class="line"><a name="l00619"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a365f0a80773e2e848500ba0b9b384d0d"> 619</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunLarge, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a46215efb57d85d73b814e3a5b3f987c2">CLDepthwiseConvolutionLayerQuantizedFixture&lt;uint8_t&gt;</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>,</div><div class="line"><a name="l00620"></a><span class="lineno"> 620</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::LargeDepthwiseConvolutionLayerDataset3x3(),</div><div class="line"><a name="l00621"></a><span class="lineno"> 621</span>&#160; large_depth_multipliers),</div><div class="line"><a name="l00622"></a><span class="lineno"> 622</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataType&quot;</span>, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>)),</div><div class="line"><a name="l00623"></a><span class="lineno"> 623</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;SrcQuantizationInfo&quot;</span>, { <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(0.5f, 10) })),</div><div class="line"><a name="l00624"></a><span class="lineno"> 624</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DstQuantizationInfo&quot;</span>, { <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(0.5f, 10) })),</div><div class="line"><a name="l00625"></a><span class="lineno"> 625</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataLayout&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a> })),</div><div class="line"><a name="l00626"></a><span class="lineno"> 626</span>&#160; ActivationFunctionsDataset))</div><div class="line"><a name="l00627"></a><span class="lineno"> 627</span>&#160;{</div><div class="line"><a name="l00628"></a><span class="lineno"> 628</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(CLAccessor(_target), _reference, tolerance_qasymm8);</div><div class="line"><a name="l00629"></a><span class="lineno"> 629</span>&#160;}</div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(Dilation)</div><div class="line"><a name="l00631"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae07e593738cd99ab0bd7e8834ab21ece"> 631</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunSmall, CLDepthwiseConvolutionLayerQuantizedFixture&lt;uint8_t&gt;, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::PRECOMMIT,</div><div class="line"><a name="l00632"></a><span class="lineno"> 632</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(),</div><div class="line"><a name="l00633"></a><span class="lineno"> 633</span>&#160; depth_multipliers),</div><div class="line"><a name="l00634"></a><span class="lineno"> 634</span>&#160; framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;<a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>&quot;, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>::QASYMM8)),</div><div class="line"><a name="l00635"></a><span class="lineno"> 635</span>&#160; framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;SrcQuantizationInfo&quot;, { <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(0.5f, 10) })),</div><div class="line"><a name="l00636"></a><span class="lineno"> 636</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DstQuantizationInfo&quot;</span>, { <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(0.5f, 10) })),</div><div class="line"><a name="l00637"></a><span class="lineno"> 637</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataLayout&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a> })),</div><div class="line"><a name="l00638"></a><span class="lineno"> 638</span>&#160; ActivationFunctionsDataset))</div><div class="line"><a name="l00639"></a><span class="lineno"> 639</span>&#160;{</div><div class="line"><a name="l00640"></a><span class="lineno"> 640</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(CLAccessor(_target), _reference, tolerance_qasymm8);</div><div class="line"><a name="l00641"></a><span class="lineno"> 641</span>&#160;}</div><div class="line"><a name="l00642"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac3df3c875e8c507e1f1e6ecd9f95cd3c"> 642</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunLarge, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a46215efb57d85d73b814e3a5b3f987c2">CLDepthwiseConvolutionLayerQuantizedFixture&lt;uint8_t&gt;</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>,</div><div class="line"><a name="l00643"></a><span class="lineno"> 643</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(),</div><div class="line"><a name="l00644"></a><span class="lineno"> 644</span>&#160; large_depth_multipliers),</div><div class="line"><a name="l00645"></a><span class="lineno"> 645</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataType&quot;</span>, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>)),</div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;SrcQuantizationInfo&quot;</span>, { <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(0.5f, 10) })),</div><div class="line"><a name="l00647"></a><span class="lineno"> 647</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DstQuantizationInfo&quot;</span>, { <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(0.5f, 10) })),</div><div class="line"><a name="l00648"></a><span class="lineno"> 648</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataLayout&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a> })),</div><div class="line"><a name="l00649"></a><span class="lineno"> 649</span>&#160; ActivationFunctionsDataset))</div><div class="line"><a name="l00650"></a><span class="lineno"> 650</span>&#160;{</div><div class="line"><a name="l00651"></a><span class="lineno"> 651</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(CLAccessor(_target), _reference, tolerance_qasymm8);</div><div class="line"><a name="l00652"></a><span class="lineno"> 652</span>&#160;}</div><div class="line"><a name="l00653"></a><span class="lineno"> 653</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// Dilation</span></div><div class="line"><a name="l00654"></a><span class="lineno"> 654</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// W3x3</span></div><div class="line"><a name="l00655"></a><span class="lineno"> 655</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// QASYMM8</span></div><div class="line"><a name="l00656"></a><span class="lineno"> 656</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// Quantized</span></div><div class="line"><a name="l00657"></a><span class="lineno"> 657</span>&#160;</div><div class="line"><a name="l00658"></a><span class="lineno"> 658</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// DepthwiseConvolutionLayer</span></div><div class="line"><a name="l00659"></a><span class="lineno"> 659</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// CL</span></div><div class="line"><a name="l00660"></a><span class="lineno"> 660</span>&#160;} <span class="comment">// namespace validation</span></div><div class="line"><a name="l00661"></a><span class="lineno"> 661</span>&#160;} <span class="comment">// namespace test</span></div><div class="line"><a name="l00662"></a><span class="lineno"> 662</span>&#160;} <span class="comment">// namespace arm_compute</span></div><div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml">arm_compute::TensorShape</a></div><div class="ttdoc">Shape of a tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00039">TensorShape.h:39</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ad3fd4136244e42ad89b01c02b904336d"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ad3fd4136244e42ad89b01c02b904336d">arm_compute::test::validation::dilation</a></div><div class="ttdeci">dilation</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00174">ConvolutionLayer.cpp:174</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a1f8aca235c095df227e7444f6b237eb1"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f8aca235c095df227e7444f6b237eb1">arm_compute::test::validation::act_info</a></div><div class="ttdeci">act_info</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00175">ConvolutionLayer.cpp:175</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_depthwise_convolution_layer3x3_xhtml_a87b0b2b008eb501d650caddecf96ee63"><div class="ttname"><a href="classarm__compute_1_1_c_l_depthwise_convolution_layer3x3.xhtml#a87b0b2b008eb501d650caddecf96ee63">arm_compute::CLDepthwiseConvolutionLayer3x3::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &amp;conv_info, unsigned int depth_multiplier=1, ActivationLayerInfo act_info=ActivationLayerInfo(), GPUTarget gpu_target=GPUTarget::MIDGARD, const Size2D &amp;dilation=Size2D(1U, 1U))</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of CLDepthwiseConvolutionLa...</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_depthwise_convolution_layer_8cpp_source.xhtml#l00139">CLDepthwiseConvolutionLayer.cpp:139</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a7cb842ebfe255726066039853a4322f0"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a7cb842ebfe255726066039853a4322f0">arm_compute::test::validation::weights_info</a></div><div class="ttdeci">weights_info</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_batch_normalization_layer_8cpp_source.xhtml#l00196">BatchNormalizationLayer.cpp:196</a></div></div>
<div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml_a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">arm_compute::ActivationLayerInfo::ActivationFunction::RELU</a></div><div class="ttdoc">Rectifier ( )</div></div>
<div class="ttc" id="_padding_calculator_8h_xhtml"><div class="ttname"><a href="_padding_calculator_8h.xhtml">PaddingCalculator.h</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_aa6e67bddae371a5731f6d4002e787299"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#aa6e67bddae371a5731f6d4002e787299">arm_compute::test::validation::expected</a></div><div class="ttdeci">expected</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_batch_normalization_layer_8cpp_source.xhtml#l00197">BatchNormalizationLayer.cpp:197</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a00525ff582f16038a1d3819aa44a23a3"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">arm_compute::test::validation::conv_info</a></div><div class="ttdeci">conv_info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00599">Winograd.cpp:599</a></div></div>
<div class="ttc" id="_c_l_tensor_8h_xhtml"><div class="ttname"><a href="_c_l_tensor_8h.xhtml">CLTensor.h</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a73e2825fd61d349c5ca2f5313e3c8ea1"><div class="ttname"><a href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">arm_compute::half</a></div><div class="ttdeci">half_float::half half</div><div class="ttdoc">16-bit floating point type</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00044">Types.h:44</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::Format::F32</a></div><div class="ttdoc">1 channel, 1 F32 per channel</div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a3c8562a1f05d23f44aed87545b7892cf"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a3c8562a1f05d23f44aed87545b7892cf">arm_compute::test::validation::ARM_COMPUTE_EXPECT</a></div><div class="ttdeci">ARM_COMPUTE_EXPECT(has_error==expected, framework::LogLevel::ERRORS)</div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a25cae7166733a51d1354f3f395652782"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a25cae7166733a51d1354f3f395652782">arm_compute::test::validation::output_info</a></div><div class="ttdeci">output_info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00330">Winograd.cpp:330</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1framework_1_1dataset_xhtml_a352791fb808d42a82ad70df5efa3508b"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">arm_compute::test::framework::dataset::make</a></div><div class="ttdeci">std::enable_if&lt; is_container&lt; T &gt;::value, ContainerDataset&lt; T &gt; &gt;::type make(std::string name, T &amp;&amp;values)</div><div class="ttdoc">Helper function to create a ContainerDataset.</div><div class="ttdef"><b>Definition:</b> <a href="_container_dataset_8h_source.xhtml#l00161">ContainerDataset.h:161</a></div></div>
<div class="ttc" id="_c_l_accessor_8h_xhtml"><div class="ttname"><a href="_c_l_accessor_8h.xhtml">CLAccessor.h</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">Copyright (c) 2017-2018 ARM Limited.</div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00024">00_introduction.dox:24</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">arm_compute::Format::F16</a></div><div class="ttdoc">1 channel, 1 F16 per channel</div></div>
<div class="ttc" id="_c_l_tensor_allocator_8h_xhtml"><div class="ttname"><a href="_c_l_tensor_allocator_8h.xhtml">CLTensorAllocator.h</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">arm_compute::Format::S32</a></div><div class="ttdoc">1 channel, 1 S32 per channel</div></div>
<div class="ttc" id="_c_l_depthwise_convolution_layer_8h_xhtml"><div class="ttname"><a href="_c_l_depthwise_convolution_layer_8h.xhtml">CLDepthwiseConvolutionLayer.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_quantization_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_quantization_info.xhtml">arm_compute::QuantizationInfo</a></div><div class="ttdoc">Quantization information.</div><div class="ttdef"><b>Definition:</b> <a href="_quantization_info_8h_source.xhtml#l00066">QuantizationInfo.h:66</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1framework_xhtml_a7edf31944a6144ffd493d2f9a7bfb5cf"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">arm_compute::test::framework::DatasetMode</a></div><div class="ttdeci">DatasetMode</div><div class="ttdoc">Possible dataset modes.</div><div class="ttdef"><b>Definition:</b> <a href="_dataset_modes_8h_source.xhtml#l00040">DatasetModes.h:40</a></div></div>
<div class="ttc" id="_datasets_8h_xhtml"><div class="ttname"><a href="_datasets_8h.xhtml">Datasets.h</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ae008e90eb6906fa3526213bc860f6cc5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ae008e90eb6906fa3526213bc860f6cc5">arm_compute::test::validation::input_info</a></div><div class="ttdeci">input_info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00330">Winograd.cpp:330</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">arm_compute::DataType::QASYMM8</a></div><div class="ttdoc">quantized, asymmetric fixed-point 8-bit number</div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_c_l_accessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">arm_compute::test::CLAccessor</a></div><div class="ttdoc">Accessor implementation for CLTensor objects.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_accessor_8h_source.xhtml#l00035">CLAccessor.h:35</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a46215efb57d85d73b814e3a5b3f987c2"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a46215efb57d85d73b814e3a5b3f987c2">arm_compute::test::validation::CLDepthwiseConvolutionLayerQuantizedFixture&lt; uint8_t &gt;</a></div><div class="ttdeci">CLDepthwiseConvolutionLayerQuantizedFixture&lt; uint8_t &gt;</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_depthwise_convolution_layer_8cpp_source.xhtml#l00608">DepthwiseConvolutionLayer.cpp:608</a></div></div>
<div class="ttc" id="tests_2framework_2_macros_8h_xhtml"><div class="ttname"><a href="tests_2framework_2_macros_8h.xhtml">Macros.h</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">arm_compute::DataLayout::NCHW</a></div><div class="ttdoc">Num samples, channels, height, width.</div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_depthwise_convolution_layer_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_depthwise_convolution_layer.xhtml">arm_compute::CLDepthwiseConvolutionLayer</a></div><div class="ttdoc">Basic function to execute a generic depthwise convolution.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_depthwise_convolution_layer_8h_source.xhtml#l00130">CLDepthwiseConvolutionLayer.h:130</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ac95a886daa65a1813ffe9498074d2f39"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">arm_compute::test::validation::FIXTURE_DATA_TEST_CASE</a></div><div class="ttdeci">FIXTURE_DATA_TEST_CASE(RunSmall, CLAbsLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))</div><div class="ttdef"><b>Definition:</b> <a href="_abs_layer_8cpp_source.xhtml#l00050">AbsLayer.cpp:50</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1framework_xhtml_a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">arm_compute::test::framework::DatasetMode::NIGHTLY</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ae02c6fc90d9c60c634bfa258049eb46b"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">arm_compute::test::validation::validate</a></div><div class="ttdeci">validate(dst.info() -&gt;valid_region(), valid_region)</div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1framework_xhtml_a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">arm_compute::test::framework::DatasetMode::ALL</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a735ac6c2a02e320969625308810444f3afa362f4daec88442a387ff7cda411a38"><div class="ttname"><a href="namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3afa362f4daec88442a387ff7cda411a38">arm_compute::GPUTarget::MIDGARD</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51"><div class="ttname"><a href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">arm_compute::DataLayout::NHWC</a></div><div class="ttdoc">Num samples, height, width, channels.</div></div>
<div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml_a56297e0f7b215eea46c818cb7528d9eaaaac544aacc3615aada24897a215f5046"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaaaac544aacc3615aada24897a215f5046">arm_compute::ActivationLayerInfo::ActivationFunction::LINEAR</a></div><div class="ttdoc">Linear ( )</div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ac2ed31007ae463a3cec24a581f3651f6"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">arm_compute::test::validation::TEST_SUITE_END</a></div><div class="ttdeci">TEST_SUITE_END() FIXTURE_DATA_TEST_CASE(RunSmall</div><div class="ttdoc">Input data sets.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_unstack_8cpp_source.xhtml#l00096">Unstack.cpp:96</a></div></div>
<div class="ttc" id="_validation_8h_xhtml"><div class="ttname"><a href="_validation_8h.xhtml">Validation.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_depthwise_convolution_layer_xhtml_a4bc5903a6da554c4cd38d2b123d30a4f"><div class="ttname"><a href="classarm__compute_1_1_c_l_depthwise_convolution_layer.xhtml#a4bc5903a6da554c4cd38d2b123d30a4f">arm_compute::CLDepthwiseConvolutionLayer::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &amp;conv_info, unsigned int depth_multiplier=1, const ActivationLayerInfo &amp;act_info=ActivationLayerInfo(), const Size2D &amp;dilation=Size2D(1U, 1U))</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of CLDepthwiseConvolutionLa...</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_depthwise_convolution_layer_8cpp_source.xhtml#l00380">CLDepthwiseConvolutionLayer.cpp:380</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml">arm_compute::TensorInfo</a></div><div class="ttdoc">Store the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00045">TensorInfo.h:45</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1framework_xhtml_aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">arm_compute::test::framework::LogLevel::ERRORS</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1framework_1_1dataset_xhtml_a20b2c46a6ccea85acf64c599a68251d7"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a20b2c46a6ccea85acf64c599a68251d7">arm_compute::test::framework::dataset::concat</a></div><div class="ttdeci">JoinDataset&lt; T, U &gt; concat(T &amp;&amp;dataset1, U &amp;&amp;dataset2)</div><div class="ttdoc">Helper function to create a JoinDataset.</div><div class="ttdef"><b>Definition:</b> <a href="_join_dataset_8h_source.xhtml#l00160">JoinDataset.h:160</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ae133c0063d4112703d30b7f7ae485fce"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ae133c0063d4112703d30b7f7ae485fce">arm_compute::test::validation::CLDepthwiseConvolutionLayerFixture</a></div><div class="ttdeci">DepthwiseConvolutionLayerValidationFixture&lt; CLTensor, CLAccessor, CLDepthwiseConvolutionLayer, T &gt; CLDepthwiseConvolutionLayerFixture</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_depthwise_convolution_layer_8cpp_source.xhtml#l00283">DepthwiseConvolutionLayer.cpp:283</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a96f9e78d0c2a93f0e3a876eeae4be4b0"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a96f9e78d0c2a93f0e3a876eeae4be4b0">arm_compute::test::validation::zip</a></div><div class="ttdeci">zip(zip(framework::dataset::make(&quot;Weights&quot;, { TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 1U), 1, DataType::F32), }), framework::dataset::make(&quot;MVBGInfo&quot;,{ TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(5U), 1, DataType::F32), })), framework::dataset::make(&quot;Expected&quot;, { true, false, false}))</div></div>
<div class="ttc" id="arm__compute_2core_2_types_8h_xhtml"><div class="ttname"><a href="arm__compute_2core_2_types_8h.xhtml">Types.h</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">arm_compute::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdoc">Available data types.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00074">Types.h:74</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0"><div class="ttname"><a href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">arm_compute::DataLayout</a></div><div class="ttdeci">DataLayout</div><div class="ttdoc">[DataLayout enum definition]</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00114">Types.h:114</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ae7b9eaebbc5f863aec87551728eba105"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">arm_compute::test::validation::combine</a></div><div class="ttdeci">combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F32)))</div><div class="ttdef"><b>Definition:</b> <a href="_abs_layer_8cpp_source.xhtml#l00065">AbsLayer.cpp:65</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a8f65156abdd90180036790221cfc915f"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">arm_compute::test::validation::TEST_SUITE</a></div><div class="ttdeci">TEST_SUITE(U8_to_S8) DATA_TEST_CASE(Configuration</div></div>
<div class="ttc" id="_asserts_8h_xhtml"><div class="ttname"><a href="_asserts_8h.xhtml">Asserts.h</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a1f1266d183bfb4d479ec334fed85dc27"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f1266d183bfb4d479ec334fed85dc27">arm_compute::test::validation::DATA_TEST_CASE</a></div><div class="ttdeci">DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), AbsoluteDifferenceU8Dataset), shape, data_type0, data_type1, output_data_type)</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_absolute_difference_8cpp_source.xhtml#l00060">AbsoluteDifference.cpp:60</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml">arm_compute::CLTensor</a></div><div class="ttdoc">Basic implementation of the OpenCL tensor interface.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_tensor_8h_source.xhtml#l00040">CLTensor.h:40</a></div></div>
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