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<div class="title">DirectConvolutionLayer.cpp</div> </div>
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<a href="_c_l_2_direct_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_direct_convolution_layer_8h.xhtml">arm_compute/runtime/CL/functions/CLDirectConvolutionLayer.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/DirectConvolutionLayerDataset.h&quot;</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;<span class="preprocessor">#include &quot;tests/datasets/ShapeDatasets.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/DirectConvolutionLayerFixture.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;<span class="comment">// COMPMID-517 Investigate the mismatch to see whether it is a real bug</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160;RelativeTolerance&lt;half&gt; tolerance_fp16(<a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a>(0.2)); <span class="comment">/**&lt; Tolerance for floating point tests */</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160;RelativeTolerance&lt;float&gt; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adc81a09e65c9b95bc421a4c07c4aa5e0">tolerance_fp32</a>(0.02f); <span class="comment">/**&lt; Tolerance for floating point tests */</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160;constexpr <span class="keywordtype">float</span> tolerance_num = 0.07f; <span class="comment">/**&lt; Tolerance number */</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160;constexpr AbsoluteTolerance&lt;uint8_t&gt; tolerance_qasymm8(1); <span class="comment">/**&lt; Tolerance for quantized tests */</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160;</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160;<span class="keyword">const</span> <span class="keyword">auto</span> data_strides = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;StrideX&quot;</span>, 1, 3), <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;StrideY&quot;</span>, 1, 3));</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160;<span class="keyword">const</span> <span class="keyword">auto</span> data_strides_small = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;StrideX&quot;</span>, 1), <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;StrideY&quot;</span>, 1));</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160;<span class="keyword">const</span> <span class="keyword">auto</span> data_ksize_one = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;PadX&quot;</span>, 0, 1), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;PadY&quot;</span>, 0, 1), <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;KernelSize&quot;</span>, 1)));</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160;<span class="keyword">const</span> <span class="keyword">auto</span> data_ksize_one_small = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;PadX&quot;</span>, 0), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;PadY&quot;</span>, 0), <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;KernelSize&quot;</span>, 1)));</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160;<span class="keyword">const</span> <span class="keyword">auto</span> data_ksize_three = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;PadX&quot;</span>, 0, 2), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;PadY&quot;</span>, 0, 2), <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;KernelSize&quot;</span>, 3)));</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160;<span class="keyword">const</span> <span class="keyword">auto</span> data_ksize_five = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;PadX&quot;</span>, 0, 3), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;PadY&quot;</span>, 0, 3), <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;KernelSize&quot;</span>, 5)));</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160;<span class="keyword">const</span> <span class="keyword">auto</span> data_ksize_nine = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;PadX&quot;</span>, 0, 3), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;PadY&quot;</span>, 0, 3), <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;KernelSize&quot;</span>, 9)));</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160;<span class="keyword">const</span> <span class="keyword">auto</span> data_ksize_nine_small = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;PadX&quot;</span>, 0, 1), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;PadY&quot;</span>, 0, 1), <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;KernelSize&quot;</span>, 9)));</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160;</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160;<span class="keyword">const</span> <span class="keyword">auto</span> data_all_kernels = <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a20b2c46a6ccea85acf64c599a68251d7">concat</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a20b2c46a6ccea85acf64c599a68251d7">concat</a>(data_ksize_one, data_ksize_three), data_ksize_five);</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160;</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160;<span class="keyword">const</span> <span class="keyword">auto</span> data = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::SmallDirectConvolutionShapes(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(data_strides, data_all_kernels));</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160;<span class="keyword">const</span> <span class="keyword">auto</span> data9x9 = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::SmallDirectConvolutionShapes(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(data_strides, data_ksize_nine));</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160;<span class="keyword">const</span> <span class="keyword">auto</span> data_small = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::SmallDirectConvolutionShapes(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(data_strides_small, data_ksize_one_small));</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160;<span class="keyword">const</span> <span class="keyword">auto</span> data_small9x9 = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::SmallDirectConvolutionShapes(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(data_strides_small, data_ksize_nine_small));</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160;<span class="comment">/** Direct convolution nightly data set. */</span></div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160;<span class="keyword">const</span> <span class="keyword">auto</span> data_nightly = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(data, <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;NumKernels&quot;</span>, { 1, 4 }));</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160;<span class="keyword">const</span> <span class="keyword">auto</span> data_nightly_9x9 = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(data9x9, <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;NumKernels&quot;</span>, { 1, 4 }));<span class="comment"></span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160;<span class="comment">/** Direct convolution precommit data set. */</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160;<span class="keyword">const</span> <span class="keyword">auto</span> data_precommit = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(data_small, <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;NumKernels&quot;</span>, { 1 }));</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160;<span class="keyword">const</span> <span class="keyword">auto</span> data_precommit_9x9 = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(data_small9x9, <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;NumKernels&quot;</span>, { 1 }));</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160;<span class="comment">/** Activation function Dataset*/</span></div><div class="line"><a name="l00076"></a><span class="lineno"> 76</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="l00077"></a><span class="lineno"> 77</span>&#160;{ ActivationLayerInfo(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaaab1d4411a9e7f5e82002512cddfdc33a">ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU</a>, 0.5f) });</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160;} <span class="comment">// namespace</span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160;</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(CL)</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(DirectConvolutionLayer)</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;<span class="comment">//TODO(COMPMID-415): Configuration tests?</span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160;</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160;<span class="comment">// *INDENT-OFF*</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160;<span class="comment">// clang-format off</span></div><div class="line"><a name="l00087"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2984963251e0e13f3b22490d7d903c85"> 87</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f1266d183bfb4d479ec334fed85dc27">DATA_TEST_CASE</a>(Validate, 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>(</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</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>(27<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 13<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 2<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>), 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="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>(27<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 13<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 2<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>), 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="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>(27<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 13<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 2<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>), <span class="comment">// Unsupported kernel width</span></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>(27<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 13<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 2<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>), <span class="comment">// Non-rectangular weights dimensions</span></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>(27<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 13<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 2<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>), <span class="comment">// Invalid weights dimensions</span></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>(27<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 13<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 2<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>), <span class="comment">// Invalid stride</span></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>(27<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 13<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 2<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>), 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="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>(27<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 13<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 2<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>), 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="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>(27<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 13<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 2<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>), 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="l00097"></a><span class="lineno"> 97</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>(27<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 13<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 2<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>), <span class="comment">// Window shrink</span></div><div class="line"><a name="l00098"></a><span class="lineno"> 98</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>(32<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 16<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 2<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; }),</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</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, 4U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</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>(3U, 3U, 3U, 4U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</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>(11U, 11U, 2U, 4U), 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>(5U, 3U, 2U, 4U), 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>(3U, 3U, 2U, 4U, 3U), 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>(3U, 3U, 2U, 4U), 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>(3U, 3U, 2U, 4U), 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>(3U, 3U, 2U, 4U), 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>(3U, 3U, 2U, 4U), 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>(3U, 3U, 2U, 4U), 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>(1U, 1U, 2U, 4U), 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; })),</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;BiasesInfo&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>(4U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</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="l00114"></a><span class="lineno"> 114</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="l00115"></a><span class="lineno"> 115</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="l00116"></a><span class="lineno"> 116</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="l00117"></a><span class="lineno"> 117</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="l00118"></a><span class="lineno"> 118</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), 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; <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, 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; <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="l00121"></a><span class="lineno"> 121</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="l00122"></a><span class="lineno"> 122</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="l00123"></a><span class="lineno"> 123</span>&#160; })),</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</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, 4U), 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(25U, 11U, 4U), 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(25U, 11U, 4U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; TensorInfo(TensorShape(25U, 11U, 4U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; TensorInfo(TensorShape(25U, 11U, 4U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; TensorInfo(TensorShape(25U, 11U, 4U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; TensorInfo(TensorShape(25U, 11U, 4U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; TensorInfo(TensorShape(25U, 11U, 4U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; TensorInfo(TensorShape(26U, 11U, 4U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; TensorInfo(TensorShape(25U, 11U, 4U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; TensorInfo(TensorShape(32U, 16U, 4U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; })),</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</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="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(3, 3, 0, 0),</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; PadStrideInfo(1, 1, 0, 0),</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; PadStrideInfo(1, 1, 0, 0),</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; PadStrideInfo(1, 1, 0, 0),</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; PadStrideInfo(1, 1, 0, 0),</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; PadStrideInfo(1, 1, 0, 0),</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; })),</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</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>,</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160;{</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</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="l00151"></a><span class="lineno"> 151</span>&#160;})),</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</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">true</span> })),</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</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>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f8aca235c095df227e7444f6b237eb1">act_info</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa6e67bddae371a5731f6d4002e787299">expected</a>)</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160;{</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; <span class="keywordtype">bool</span> is_valid = bool(<a class="code" href="classarm__compute_1_1_c_l_direct_convolution_layer.xhtml#ac89fb11a78baf66222f50cd5ee725ebd">CLDirectConvolutionLayer::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>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f8aca235c095df227e7444f6b237eb1">act_info</a>));</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</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="l00157"></a><span class="lineno"> 157</span>&#160;}</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160;<span class="comment">// clang-format on</span></div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160;<span class="comment">// *INDENT-ON*</span></div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160;</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00162"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8e6c0a7a52535b96172d9ea643087244"> 162</a></span>&#160;<span class="keyword">using</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8e6c0a7a52535b96172d9ea643087244">CLDirectConvolutionLayerFixture</a> = DirectConvolutionValidationFixture&lt;CLTensor, CLAccessor, CLDirectConvolutionLayer, T&gt;;</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00164"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6af2459356e4644f2683ca2dd4b74f01"> 164</a></span>&#160;<span class="keyword">using</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6af2459356e4644f2683ca2dd4b74f01">CLDirectConvolutionValidationWithTensorShapesFixture</a> = DirectConvolutionValidationWithTensorShapesFixture&lt;CLTensor, CLAccessor, CLDirectConvolutionLayer, T&gt;;</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160;</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(Float)</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(FP16)</div><div class="line"><a name="l00168"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#af07bf1462d49ac540aafd58778a5bd60"> 168</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#a8e6c0a7a52535b96172d9ea643087244">CLDirectConvolutionLayerFixture</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>::PRECOMMIT, <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>(data_precommit, 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>::F16)),</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; ActivationFunctionsDataset),</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</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="l00171"></a><span class="lineno"> 171</span>&#160;{</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160; <span class="comment">// Validate output</span></div><div class="line"><a name="l00173"></a><span class="lineno"> 173</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_fp16, tolerance_num);</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160;}</div><div class="line"><a name="l00175"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab2a7c0558edadd58927e2ae718b54c88"> 175</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#a8e6c0a7a52535b96172d9ea643087244">CLDirectConvolutionLayerFixture&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>(data_nightly, <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#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>)),</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; ActivationFunctionsDataset),</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</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="l00178"></a><span class="lineno"> 178</span>&#160;{</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160; <span class="comment">// Validate output</span></div><div class="line"><a name="l00180"></a><span class="lineno"> 180</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_fp16, tolerance_num);</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160;}</div><div class="line"><a name="l00182"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3c6f0412b6a4a907cebf4bef2be68259"> 182</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunLarge9x9, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8e6c0a7a52535b96172d9ea643087244">CLDirectConvolutionLayerFixture&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>(data_nightly_9x9, <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="l00183"></a><span class="lineno"> 183</span>&#160; <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>)),</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; ActivationFunctionsDataset),</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</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="l00186"></a><span class="lineno"> 186</span>&#160;{</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</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_fp16, tolerance_num);</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160;}</div><div class="line"><a name="l00189"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9dd05b9c00f0a2e12a16bebeaa741bf6"> 189</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunSmall9x9, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8e6c0a7a52535b96172d9ea643087244">CLDirectConvolutionLayerFixture&lt;half&gt;</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfab829534c7b40afdbd3c3ffea05202a97">framework::DatasetMode::PRECOMMIT</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>(data_precommit_9x9, <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="l00190"></a><span class="lineno"> 190</span>&#160; <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>)),</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160; ActivationFunctionsDataset),</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</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="l00193"></a><span class="lineno"> 193</span>&#160;{</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</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_fp16, tolerance_num);</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160;}</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</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="l00197"></a><span class="lineno"> 197</span>&#160;</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(FP32)</div><div class="line"><a name="l00199"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a47be21a7b1fb5ff31e19297eb08fefa9"> 199</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#a8e6c0a7a52535b96172d9ea643087244">CLDirectConvolutionLayerFixture</a>&lt;<span class="keywordtype">float</span>&gt;, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::PRECOMMIT, <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>(data_precommit, 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="l00200"></a><span class="lineno"> 200</span>&#160; <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>::F32)),</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160; ActivationFunctionsDataset),</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</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="l00203"></a><span class="lineno"> 203</span>&#160;{</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</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, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adc81a09e65c9b95bc421a4c07c4aa5e0">tolerance_fp32</a>);</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160;}</div><div class="line"><a name="l00206"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a74845662fa02c82a23a8228ef7987e58"> 206</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#a8e6c0a7a52535b96172d9ea643087244">CLDirectConvolutionLayerFixture&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>(data_nightly, <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#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>)),</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160; ActivationFunctionsDataset),</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</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="l00209"></a><span class="lineno"> 209</span>&#160;{</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</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, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adc81a09e65c9b95bc421a4c07c4aa5e0">tolerance_fp32</a>);</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160;}</div><div class="line"><a name="l00212"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac5a0b5713a3bb1a6fb8b247901c0e4a8"> 212</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunLarge9x9, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8e6c0a7a52535b96172d9ea643087244">CLDirectConvolutionLayerFixture&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>(data_nightly_9x9, <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="l00213"></a><span class="lineno"> 213</span>&#160; <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; ActivationFunctionsDataset),</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</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="l00216"></a><span class="lineno"> 216</span>&#160;{</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</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, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adc81a09e65c9b95bc421a4c07c4aa5e0">tolerance_fp32</a>);</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160;}</div><div class="line"><a name="l00219"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae8731be77608588bf3f356f89e4e0c09"> 219</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunSmall9x9, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8e6c0a7a52535b96172d9ea643087244">CLDirectConvolutionLayerFixture&lt;float&gt;</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfab829534c7b40afdbd3c3ffea05202a97">framework::DatasetMode::PRECOMMIT</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>(data_precommit_9x9, <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="l00220"></a><span class="lineno"> 220</span>&#160; <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; ActivationFunctionsDataset),</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</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="l00223"></a><span class="lineno"> 223</span>&#160;{</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</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, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adc81a09e65c9b95bc421a4c07c4aa5e0">tolerance_fp32</a>);</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160;}</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</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="l00227"></a><span class="lineno"> 227</span>&#160;</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(FP32_CustomDataset)</div><div class="line"><a name="l00229"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2c3964e8f8abe019b9787a1c5ea2b07"> 229</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(Run, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6af2459356e4644f2683ca2dd4b74f01">CLDirectConvolutionValidationWithTensorShapesFixture</a>&lt;<span class="keywordtype">float</span>&gt;, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::NIGHTLY, <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::DirectConvolutionLayerDataset(),</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</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>::F32)),</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160; ActivationFunctionsDataset))</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160;{</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160; <span class="comment">// Validate output</span></div><div class="line"><a name="l00234"></a><span class="lineno"> 234</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, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adc81a09e65c9b95bc421a4c07c4aa5e0">tolerance_fp32</a>);</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160;}</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// FP32_CustomDataset</span></div><div class="line"><a name="l00237"></a><span class="lineno"> 237</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="l00238"></a><span class="lineno"> 238</span>&#160;</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>&#160;template &lt;typename T&gt;</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>&#160;using CLDirectConvolutionLayerQuantizedFixture = DirectConvolutionValidationQuantizedFixture&lt;<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a>, <a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>, <a class="code" href="classarm__compute_1_1_c_l_direct_convolution_layer.xhtml">CLDirectConvolutionLayer</a>, T&gt;;</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>&#160;template &lt;typename T&gt;</div><div class="line"><a name="l00242"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a549931d36737e8155fbec8c62e74af35"> 242</a></span>&#160;using <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a549931d36737e8155fbec8c62e74af35">CLDirectConvolutionValidationWithTensorShapesQuantizedFixture</a> = DirectConvolutionValidationWithTensorShapesQuantizedFixture&lt;<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a>, <a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>, <a class="code" href="classarm__compute_1_1_c_l_direct_convolution_layer.xhtml">CLDirectConvolutionLayer</a>, T&gt;;</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160;</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160;const auto <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6716299a6877933f664cdc9796f6c924">QuantizedActivationFunctionsDataset</a> = framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;ActivationInfo&quot;,</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>&#160;{</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>&#160; <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>(),</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>&#160; <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaad346bb4679d29be241279f15d7795c1c">ActivationLayerInfo::ActivationFunction::RELU</a>),</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160; <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaaab1d4411a9e7f5e82002512cddfdc33a">ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU</a>, 6.f)</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160;});</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(Quantized)</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(QASYMM8)</div><div class="line"><a name="l00252"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a342a485d381ca3a85c504a7dc326a37d"> 252</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunSmall, CLDirectConvolutionLayerQuantizedFixture&lt;uint8_t&gt;, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::PRECOMMIT, <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>(data_precommit, 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="l00253"></a><span class="lineno"> 253</span>&#160; <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>::QASYMM8)),</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</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="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>&quot;, { <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(2.f / 255, 10), <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(1.1f, 10) })),</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6716299a6877933f664cdc9796f6c924">QuantizedActivationFunctionsDataset</a>))</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>&#160;{</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>&#160; <span class="comment">// Validate output</span></div><div class="line"><a name="l00258"></a><span class="lineno"> 258</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_qasymm8);</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>&#160;}</div><div class="line"><a name="l00260"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a902845599c6cfadca00435cb50e7d370"> 260</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunSmall9x9, CLDirectConvolutionLayerQuantizedFixture&lt;uint8_t&gt;, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfab829534c7b40afdbd3c3ffea05202a97">framework::DatasetMode::PRECOMMIT</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>(data_precommit_9x9,</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</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="l00262"></a><span class="lineno"> 262</span>&#160; <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>)),</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;QuantizationInfo&quot;</span>, { <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(2.f / 255, 10), <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(1.1f, 10) })),</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6716299a6877933f664cdc9796f6c924">QuantizedActivationFunctionsDataset</a>))</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>&#160;{</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>&#160; <span class="comment">// Validate output</span></div><div class="line"><a name="l00267"></a><span class="lineno"> 267</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_qasymm8);</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>&#160;}</div><div class="line"><a name="l00269"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a169548c5a443966854d58a7502c6b622"> 269</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunLarge, CLDirectConvolutionLayerQuantizedFixture&lt;uint8_t&gt;, <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>(data_nightly, <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="l00270"></a><span class="lineno"> 270</span>&#160; <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>)),</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;QuantizationInfo&quot;</span>, { <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(2.f / 255, 10), <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(1.1f, 10) })),</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6716299a6877933f664cdc9796f6c924">QuantizedActivationFunctionsDataset</a>))</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>&#160;{</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>&#160; <span class="comment">// Validate output</span></div><div class="line"><a name="l00275"></a><span class="lineno"> 275</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_qasymm8);</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>&#160;}</div><div class="line"><a name="l00277"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a402d43f4bd45bd36d911821776f55314"> 277</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunLarge9x9, CLDirectConvolutionLayerQuantizedFixture&lt;uint8_t&gt;, <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>(data_nightly_9x9, <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="l00278"></a><span class="lineno"> 278</span>&#160; <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>)),</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;QuantizationInfo&quot;</span>, { <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(2.f / 255, 10), <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(1.1f, 10) })),</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6716299a6877933f664cdc9796f6c924">QuantizedActivationFunctionsDataset</a>))</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="comment">// Validate output</span></div><div class="line"><a name="l00283"></a><span class="lineno"> 283</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_qasymm8);</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;</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#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// QASYMM8</span></div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>&#160;</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>(QASYMM8_CustomDataset)</div><div class="line"><a name="l00289"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6c5e00d3488d7a44c120b4124be15834"> 289</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(Run, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a549931d36737e8155fbec8c62e74af35">CLDirectConvolutionValidationWithTensorShapesQuantizedFixture</a>&lt;uint8_t&gt;, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::NIGHTLY, <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::DirectConvolutionLayerDataset(),</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</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="l00291"></a><span class="lineno"> 291</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="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>&quot;, { <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(2.f / 255, 127), <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(1.1f, 10) })),</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6716299a6877933f664cdc9796f6c924">QuantizedActivationFunctionsDataset</a>))</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>&#160;{</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>&#160; <span class="comment">// Validate output</span></div><div class="line"><a name="l00295"></a><span class="lineno"> 295</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_qasymm8);</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>&#160;}</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// QASYMM8_CustomDataset</span></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#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// Quantized</span></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"> 300</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// DirectConvolutionLayer</span></div><div class="line"><a name="l00301"></a><span class="lineno"> 301</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="l00302"></a><span class="lineno"> 302</span>&#160;} <span class="comment">// namespace validation</span></div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>&#160;} <span class="comment">// namespace test</span></div><div class="line"><a name="l00304"></a><span class="lineno"> 304</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_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="_c_l_2_convolution_layer_8cpp_source.xhtml#l00183">ConvolutionLayer.cpp:183</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="_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="_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#l00597">Winograd.cpp:597</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#l00045">Types.h:45</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#l00328">Winograd.cpp:328</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_direct_convolution_layer_xhtml_ac89fb11a78baf66222f50cd5ee725ebd"><div class="ttname"><a href="classarm__compute_1_1_c_l_direct_convolution_layer.xhtml#ac89fb11a78baf66222f50cd5ee725ebd">arm_compute::CLDirectConvolutionLayer::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, const ActivationLayerInfo &amp;act_info=ActivationLayerInfo())</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of CLDirectConvolutionLayer...</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_direct_convolution_layer_8cpp_source.xhtml#l00068">CLDirectConvolutionLayer.cpp:68</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="namespacearm__compute_1_1test_1_1validation_xhtml_adc81a09e65c9b95bc421a4c07c4aa5e0"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#adc81a09e65c9b95bc421a4c07c4aa5e0">arm_compute::test::validation::tolerance_fp32</a></div><div class="ttdeci">RelativeTolerance&lt; float &gt; tolerance_fp32(0.001f)</div></div>
<div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml">arm_compute::ActivationLayerInfo</a></div><div class="ttdoc">Activation Layer Information class.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l01615">Types.h:1615</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_1_1test_1_1framework_xhtml_a7edf31944a6144ffd493d2f9a7bfb5cfab829534c7b40afdbd3c3ffea05202a97"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfab829534c7b40afdbd3c3ffea05202a97">arm_compute::test::framework::DatasetMode::PRECOMMIT</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) 2017-2020 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="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#l00069">QuantizationInfo.h:69</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a549931d36737e8155fbec8c62e74af35"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a549931d36737e8155fbec8c62e74af35">arm_compute::test::validation::CLDirectConvolutionValidationWithTensorShapesQuantizedFixture</a></div><div class="ttdeci">DirectConvolutionValidationWithTensorShapesQuantizedFixture&lt; CLTensor, CLAccessor, CLDirectConvolutionLayer, T &gt; CLDirectConvolutionValidationWithTensorShapesQuantizedFixture</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_direct_convolution_layer_8cpp_source.xhtml#l00242">DirectConvolutionLayer.cpp:242</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#l00328">Winograd.cpp:328</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 unsigned</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="_c_l_direct_convolution_layer_8h_xhtml"><div class="ttname"><a href="_c_l_direct_convolution_layer_8h.xhtml">CLDirectConvolutionLayer.h</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1utils_1_1cast_xhtml_a2ea3d1fc01a3a442900249ca182ffa5e"><div class="ttname"><a href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">arm_compute::utils::cast::U</a></div><div class="ttdeci">U</div><div class="ttdef"><b>Definition:</b> <a href="_saturate_cast_8h_source.xhtml#l00057">SaturateCast.h:57</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a6716299a6877933f664cdc9796f6c924"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a6716299a6877933f664cdc9796f6c924">arm_compute::test::validation::QuantizedActivationFunctionsDataset</a></div><div class="ttdeci">const auto QuantizedActivationFunctionsDataset</div><div class="ttdoc">Input data sets.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00285">ConvolutionLayer.cpp:285</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_activation_layer_info_xhtml_a56297e0f7b215eea46c818cb7528d9eaaab1d4411a9e7f5e82002512cddfdc33a"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaaab1d4411a9e7f5e82002512cddfdc33a">arm_compute::ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU</a></div><div class="ttdoc">Lower and Upper Bounded Rectifier ( )</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_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="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_dequantization_layer_8cpp_source.xhtml#l00137">DequantizationLayer.cpp:137</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="namespacearm__compute_1_1test_1_1validation_xhtml_a6af2459356e4644f2683ca2dd4b74f01"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a6af2459356e4644f2683ca2dd4b74f01">arm_compute::test::validation::CLDirectConvolutionValidationWithTensorShapesFixture</a></div><div class="ttdeci">DirectConvolutionValidationWithTensorShapesFixture&lt; CLTensor, CLAccessor, CLDirectConvolutionLayer, T &gt; CLDirectConvolutionValidationWithTensorShapesFixture</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_direct_convolution_layer_8cpp_source.xhtml#l00164">DirectConvolutionLayer.cpp:164</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="classarm__compute_1_1_c_l_direct_convolution_layer_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_direct_convolution_layer.xhtml">arm_compute::CLDirectConvolutionLayer</a></div><div class="ttdoc">Basic function to execute direct convolution function:</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_direct_convolution_layer_8h_source.xhtml#l00041">CLDirectConvolutionLayer.h:41</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#l00075">Types.h:75</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#l00117">Types.h:117</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_a8e6c0a7a52535b96172d9ea643087244"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a8e6c0a7a52535b96172d9ea643087244">arm_compute::test::validation::CLDirectConvolutionLayerFixture</a></div><div class="ttdeci">DirectConvolutionValidationFixture&lt; CLTensor, CLAccessor, CLDirectConvolutionLayer, T &gt; CLDirectConvolutionLayerFixture</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_direct_convolution_layer_8cpp_source.xhtml#l00162">DirectConvolutionLayer.cpp:162</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#l00041">CLTensor.h:41</a></div></div>
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