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<div class="title">GEMMLowp.cpp</div> </div>
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<a href="_c_l_2_g_e_m_m_lowp_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) 2017-2020 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_g_e_m_m_lowp_matrix_multiply_core_8h.xhtml">arm_compute/runtime/CL/functions/CLGEMMLowpMatrixMultiplyCore.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_g_e_m_m_lowp_output_stage_8h.xhtml">arm_compute/runtime/CL/functions/CLGEMMLowpOutputStage.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="_c_l_accessor_8h.xhtml">tests/CL/CLAccessor.h</a>&quot;</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</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="l00031"></a><span class="lineno"> 31</span>&#160;<span class="preprocessor">#include &quot;tests/datasets/GEMMLowpFusedOffsetOutputDataset.h&quot;</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;<span class="preprocessor">#include &quot;tests/datasets/LargeGEMMLowpDataset.h&quot;</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;<span class="preprocessor">#include &quot;tests/datasets/ShapeDatasets.h&quot;</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;<span class="preprocessor">#include &quot;tests/datasets/SmallGEMMLowpDataset.h&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="_asserts_8h.xhtml">tests/framework/Asserts.h</a>&quot;</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</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="l00037"></a><span class="lineno"> 37</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="l00038"></a><span class="lineno"> 38</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="l00039"></a><span class="lineno"> 39</span>&#160;<span class="preprocessor">#include &quot;tests/validation/fixtures/GEMMLowpFixture.h&quot;</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160;</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160;{</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160;<span class="keyword">namespace </span>test</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160;{</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160;<span class="keyword">namespace </span>validation</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160;{</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160;<span class="keyword">namespace</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160;{</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160;constexpr AbsoluteTolerance&lt;float&gt; tolerance_quant(1); <span class="comment">/**&lt; Tolerance value for comparing reference&#39;s output against implementation&#39;s output for quantized data types */</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160;}</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(CL)</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(GEMMLowp)</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160;</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(MatrixMultiplyCore)</div><div class="line"><a name="l00055"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a987e738d167c4e273e09c6295fdde3a4"> 55</a></span>&#160;using <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a987e738d167c4e273e09c6295fdde3a4">CLGEMMLowpMatrixMultiplyCoreFixture</a> = GEMMLowpMatrixMultiplyCoreValidationFixture&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_g_e_m_m_lowp_matrix_multiply_core.xhtml">CLGEMMLowpMatrixMultiplyCore</a>&gt;;</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160;</div><div class="line"><a name="l00057"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4b2e02f12273c1b7a724328e3912a9cc"> 57</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f1266d183bfb4d479ec334fed85dc27">DATA_TEST_CASE</a>(Configuration, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::ALL, datasets::SmallGEMMLowpDataset(),</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; shape_a, shape_b, shape_c, a_offset, b_offset)</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160;{</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; <span class="comment">// Create tensors</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> a = create_tensor&lt;CLTensor&gt;(shape_a, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>);</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> = create_tensor&lt;CLTensor&gt;(shape_b, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>);</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> c = create_tensor&lt;CLTensor&gt;(shape_c, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a>);</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; a.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a78839e7861ba8ffed52ca55da2745761">set_quantization_info</a>(<a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(1.0f / 255, a_offset));</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>.info()-&gt;set_quantization_info(<a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(1.0f / 255, b_offset));</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160;</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3c8562a1f05d23f44aed87545b7892cf">ARM_COMPUTE_EXPECT</a>(a.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#aaee6555ace43b03173844b1a228a3fc3">is_resizable</a>(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3c8562a1f05d23f44aed87545b7892cf">ARM_COMPUTE_EXPECT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>.info()-&gt;is_resizable(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3c8562a1f05d23f44aed87545b7892cf">ARM_COMPUTE_EXPECT</a>(c.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#aaee6555ace43b03173844b1a228a3fc3">is_resizable</a>(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160;</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; <span class="comment">// Create and configure function</span></div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml">CLGEMMLowpMatrixMultiplyCore</a> gemmlowp_mm;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; <span class="comment">// TODO (giaiod01) COMPMID-1672 - Extending the test to validate add bias in offset contribution</span></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; gemmlowp_mm.<a class="code" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml#a0ae54876c8c3394f2e207f6b884f2b58">configure</a>(&amp;a, &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>, <span class="keyword">nullptr</span>, &amp;c);</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160;}</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160;</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</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#a987e738d167c4e273e09c6295fdde3a4">CLGEMMLowpMatrixMultiplyCoreFixture</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, datasets::SmallGEMMLowpDataset())</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; <span class="comment">// Validate output</span></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#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>(_target), _reference);</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;</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</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#a987e738d167c4e273e09c6295fdde3a4">CLGEMMLowpMatrixMultiplyCoreFixture</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, datasets::LargeGEMMLowpDataset())</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160;{</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; <span class="comment">// Validate output</span></div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(CLAccessor(_target), _reference);</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160;}</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160;</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(FusedOffsetOutput)</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(QASYMM8)</div><div class="line"><a name="l00092"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a97da2c3a2175f6eb2ec8e5ad4236d52d"> 92</a></span>&#160;using <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a97da2c3a2175f6eb2ec8e5ad4236d52d">CLGEMMLowpMatrixMultiplyCoreFusedOffsetOutputUint8Fixture</a> = GEMMLowpMatrixMultiplyCoreFusedOffsetOutputValidationFixture&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_g_e_m_m_lowp_matrix_multiply_core.xhtml">CLGEMMLowpMatrixMultiplyCore</a>&gt;;</div><div class="line"><a name="l00093"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab9429778efb7e1e3756fc34fc7b7a409"> 93</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#a97da2c3a2175f6eb2ec8e5ad4236d52d">CLGEMMLowpMatrixMultiplyCoreFusedOffsetOutputUint8Fixture</a>, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::ALL, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::SmallGEMMLowpFusedOffsetOutputUint8Dataset(),</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</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#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a> })))</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160;{</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; <span class="comment">// Validate output</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</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_quant);</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160;}</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"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1059f1ca8a129b95a33c759c50b1adc5"> 100</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#a97da2c3a2175f6eb2ec8e5ad4236d52d">CLGEMMLowpMatrixMultiplyCoreFusedOffsetOutputUint8Fixture</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>(datasets::LargeGEMMLowpFusedOffsetOutputUint8Dataset(),</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataType&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a> })))</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160;{</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; <span class="comment">// Validate output</span></div><div class="line"><a name="l00104"></a><span class="lineno"> 104</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_quant);</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160;}</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</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="l00107"></a><span class="lineno"> 107</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(QASYMM8_SIGNED)</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160;using CLGEMMLowpMatrixMultiplyCoreFusedOffsetOutputInt8Fixture =</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; GEMMLowpMatrixMultiplyCoreFusedOffsetOutputValidationFixture&lt;<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a>, CLAccessor, <a class="code" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml">CLGEMMLowpMatrixMultiplyCore</a>, false, false, int8_t, int8_t&gt;;</div><div class="line"><a name="l00110"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa94341d6c128c637eed86a359d9a5555"> 110</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunSmall, CLGEMMLowpMatrixMultiplyCoreFusedOffsetOutputInt8Fixture, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::ALL, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::SmallGEMMLowpFusedOffsetOutputInt8Dataset(),</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</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#ad8ed01ff3ff33333d8e19db4d2818bb6a329f5d0c4b0c80e3474951d2c4435dd9">DataType::QASYMM8_SIGNED</a> })))</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160;{</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; <span class="comment">// Validate output</span></div><div class="line"><a name="l00114"></a><span class="lineno"> 114</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_quant);</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160;}</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// QASYMM8_SIGNED</span></div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// FusedOffsetOutput</span></div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160;</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(Output3D)</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160;using CLGEMMLowpMatrixMultiplyCoreOutput3DFixture = GEMMLowpMatrixMultiplyCoreValidationFixture&lt;<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a>, CLAccessor, <a class="code" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml">CLGEMMLowpMatrixMultiplyCore</a>, false, true&gt;;</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunSmall, CLGEMMLowpMatrixMultiplyCoreOutput3DFixture, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::PRECOMMIT, datasets::SmallGEMMLowpOutput3DDataset())</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160;{</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; <span class="comment">// Validate output</span></div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(CLAccessor(_target), _reference);</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160;}</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunLarge, CLGEMMLowpMatrixMultiplyCoreOutput3DFixture, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, datasets::LargeGEMMLowpOutput3DDataset())</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160;{</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; <span class="comment">// Validate output</span></div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(CLAccessor(_target), _reference);</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160;}</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// Output3D</span></div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160;</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(InputOutput3D)</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160;using CLGEMMLowpMatrixMultiplyCoreInputOutput3DFixture = GEMMLowpMatrixMultiplyCoreValidationFixture&lt;CLTensor, CLAccessor, CLGEMMLowpMatrixMultiplyCore, true, true&gt;;</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunSmall, CLGEMMLowpMatrixMultiplyCoreInputOutput3DFixture, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::PRECOMMIT, datasets::SmallGEMMLowpInputOutput3DDataset())</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160;{</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; <span class="comment">// Validate output</span></div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(CLAccessor(_target), _reference);</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160;}</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunLarge, CLGEMMLowpMatrixMultiplyCoreInputOutput3DFixture, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, datasets::LargeGEMMLowpInputOutput3DDataset())</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160;{</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; <span class="comment">// Validate output</span></div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(CLAccessor(_target), _reference);</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160;}</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// InputOutput3D</span></div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// MatrixMultiplyCore</span></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_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(OutputStage)</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(QuantizeDownInt32ToUint8Scale)</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160;</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160;const auto quantize_down_int32_to_uint8_scale_cases = framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;result_offset&quot;, -2, 1) * framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;result_mult_int&quot;, 1, 2) * framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;result_shift&quot;, 2,</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; 3)</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; * framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;min&quot;, 0) * framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;max&quot;, 0) * framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;addBias&quot;, { <span class="keyword">false</span>, <span class="keyword">true</span> });</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"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab39cf9de6ce4ea1cac5ddc8d2ca3175f"> 155</a></span>&#160;<span class="keyword">const</span> <span class="keyword">auto</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab39cf9de6ce4ea1cac5ddc8d2ca3175f">quantize_down_int32_to_uint8_scale_relu_cases</a> = <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;result_offset&quot;</span>, -2, 1) * <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;result_mult_int&quot;</span>, 1,</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; 2)</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; * <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;result_shift&quot;</span>, 2, 3) * <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;min&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;max&quot;</span>, 171, 173) * <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;addBias&quot;</span>, { <span class="keyword">false</span>, <span class="keyword">true</span> });</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160;</div><div class="line"><a name="l00159"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a527c6fecbfe2c655c29481170eeee85a"> 159</a></span>&#160;<span class="keyword">using</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a527c6fecbfe2c655c29481170eeee85a">CLGEMMLowpQuantizeDownInt32ToUint8ScaleFixture</a> = GEMMLowpQuantizeDownInt32ToUint8ScaleValidationFixture&lt;CLTensor, CLAccessor, CLGEMMLowpQuantizeDownInt32ToUint8Scale&gt;;</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"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad0d31acbe1344cd7c3a52388a20dd06e"> 161</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f1266d183bfb4d479ec334fed85dc27">DATA_TEST_CASE</a>(Configuration, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_cases),</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>, result_offset, result_mult_int, result_shift, min, max, add_bias)</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160;{</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> shape_bias(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>[0]);</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; <span class="comment">// Create tensors</span></div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> in = create_tensor&lt;CLTensor&gt;(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a>);</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a> = create_tensor&lt;CLTensor&gt;(shape_bias, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a>);</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> out = create_tensor&lt;CLTensor&gt;(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>);</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160;</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3c8562a1f05d23f44aed87545b7892cf">ARM_COMPUTE_EXPECT</a>(in.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#aaee6555ace43b03173844b1a228a3fc3">is_resizable</a>(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3c8562a1f05d23f44aed87545b7892cf">ARM_COMPUTE_EXPECT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#aaee6555ace43b03173844b1a228a3fc3">is_resizable</a>(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</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#a3c8562a1f05d23f44aed87545b7892cf">ARM_COMPUTE_EXPECT</a>(out.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#aaee6555ace43b03173844b1a228a3fc3">is_resizable</a>(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</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"> 175</span>&#160; <span class="comment">// Create and configure function</span></div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale.xhtml">CLGEMMLowpQuantizeDownInt32ToUint8Scale</a> output_stage;</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; output_stage.<a class="code" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale.xhtml#af127cda81674a7864000a3e70877c4c2">configure</a>(&amp;in, add_bias ? &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a> : <span class="keyword">nullptr</span>, &amp;out, result_offset, result_mult_int, result_shift, min, max);</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 valid region input and output</span></div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160; <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7819bcbbf45c2e7c1396a137dce54422">valid_region</a> = <a class="code" href="namespacearm__compute_1_1test.xhtml#a8103df0e6c416f55f40106aa49072b42">shape_to_valid_region</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>);</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(in.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a3c20d908342087484d883574d55dd482">valid_region</a>(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7819bcbbf45c2e7c1396a137dce54422">valid_region</a>);</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(out.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a3c20d908342087484d883574d55dd482">valid_region</a>(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7819bcbbf45c2e7c1396a137dce54422">valid_region</a>);</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160;</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; <span class="comment">// Validate valid region bias</span></div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; <span class="keywordflow">if</span>(add_bias)</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; <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> valid_region_bias = <a class="code" href="namespacearm__compute_1_1test.xhtml#a8103df0e6c416f55f40106aa49072b42">shape_to_valid_region</a>(shape_bias);</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a3c20d908342087484d883574d55dd482">valid_region</a>(), valid_region_bias);</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160; }</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160;</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160; <span class="comment">// Validate padding</span></div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160; <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_border_size.xhtml">PaddingSize</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a735a025fce26c1ef147b54426df18181">padding</a> = <a class="code" href="classarm__compute_1_1test_1_1_padding_calculator.xhtml">PaddingCalculator</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>.x(), 4).required_padding();</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(in.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a79e20eacb1e963e24a21ebd7369effd7">padding</a>(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a735a025fce26c1ef147b54426df18181">padding</a>);</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>(out.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a79e20eacb1e963e24a21ebd7369effd7">padding</a>(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a735a025fce26c1ef147b54426df18181">padding</a>);</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; <span class="keywordflow">if</span>(add_bias)</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#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a79e20eacb1e963e24a21ebd7369effd7">padding</a>(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a735a025fce26c1ef147b54426df18181">padding</a>);</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; }</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160;}</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160;</div><div class="line"><a name="l00202"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a600a867df0be522ec459f007eebd08ab"> 202</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#a527c6fecbfe2c655c29481170eeee85a">CLGEMMLowpQuantizeDownInt32ToUint8ScaleFixture</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_cases))</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; <span class="comment">// Validate output</span></div><div class="line"><a name="l00205"></a><span class="lineno"> 205</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);</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160;}</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160;</div><div class="line"><a name="l00208"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4151966085ea8ef844bcd05a660c074e"> 208</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#a527c6fecbfe2c655c29481170eeee85a">CLGEMMLowpQuantizeDownInt32ToUint8ScaleFixture</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>(datasets::LargeShapes(), quantize_down_int32_to_uint8_scale_cases))</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; <span class="comment">// Validate output</span></div><div class="line"><a name="l00211"></a><span class="lineno"> 211</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);</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160;}</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160;</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(BoundedReLu)</div><div class="line"><a name="l00215"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#af65a4c8b34633767deec60ae44632f94"> 215</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#a527c6fecbfe2c655c29481170eeee85a">CLGEMMLowpQuantizeDownInt32ToUint8ScaleFixture</a>, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::ALL, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::SmallShapes(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab39cf9de6ce4ea1cac5ddc8d2ca3175f">quantize_down_int32_to_uint8_scale_relu_cases</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; <span class="comment">// Validate output</span></div><div class="line"><a name="l00218"></a><span class="lineno"> 218</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);</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160;}</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160;</div><div class="line"><a name="l00221"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3c18ae5dcf4f5ac59df56b2188f80a4c"> 221</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#a527c6fecbfe2c655c29481170eeee85a">CLGEMMLowpQuantizeDownInt32ToUint8ScaleFixture</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>(datasets::LargeShapes(),</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab39cf9de6ce4ea1cac5ddc8d2ca3175f">quantize_down_int32_to_uint8_scale_relu_cases</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; <span class="comment">// Validate output</span></div><div class="line"><a name="l00225"></a><span class="lineno"> 225</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);</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160;}</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// BoundedReLu</span></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#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// QuantizeDownInt32ToUint8Scale</span></div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(QuantizeDownInt32ToUint8ScaleByFixedPoint)</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160;const auto quantize_down_int32_to_uint8_scale_by_fixedpoint_cases = framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;result_fixedpoint_multiplier&quot;, 254601600, 254601602) * framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;result_shift&quot;, 1,</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160; 2)</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160; * framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;result_offset_after_shift&quot;, 2, 3) * framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;min&quot;, 0) * framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;max&quot;, 0) * framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;addBias&quot;, { <span class="keyword">false</span>, <span class="keyword">true</span> });</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160;</div><div class="line"><a name="l00234"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a78f0db008369b524e9f0f7c5f43ae7e6"> 234</a></span>&#160;<span class="keyword">const</span> <span class="keyword">auto</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a78f0db008369b524e9f0f7c5f43ae7e6">quantize_down_int32_to_uint8_scale_by_fixedpoint_relu_cases</a> = <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;result_fixedpoint_multiplier&quot;</span>, 254601600, 254601602) * <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;result_shift&quot;</span>, 1,</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160; 2)</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160; * <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;result_offset_after_shift&quot;</span>, 2, 3) * <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;min&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;max&quot;</span>, 171, 174) * <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;addBias&quot;</span>, { <span class="keyword">false</span>, <span class="keyword">true</span> });</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160;<span class="keyword">using</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a71106ae8df0196a319680b32270fd757">CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture</a> =</div><div class="line"><a name="l00238"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a71106ae8df0196a319680b32270fd757"> 238</a></span>&#160; GEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointValidationFixture&lt;CLTensor, CLAccessor, CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint&gt;;</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>&#160;</div><div class="line"><a name="l00240"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#add0fceafa27f807388430edba8dc6ca3"> 240</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f1266d183bfb4d479ec334fed85dc27">DATA_TEST_CASE</a>(Configuration, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_by_fixedpoint_cases),</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>, result_fixedpoint_multiplier, result_shift, result_offset_after_shift, min, max, add_bias)</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>&#160;{</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> shape_bias(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>[0]);</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160;</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>&#160; <span class="comment">// Create tensors</span></div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> in = create_tensor&lt;CLTensor&gt;(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a>);</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a> = create_tensor&lt;CLTensor&gt;(shape_bias, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a>);</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> out = create_tensor&lt;CLTensor&gt;(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>);</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#a3c8562a1f05d23f44aed87545b7892cf">ARM_COMPUTE_EXPECT</a>(in.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#aaee6555ace43b03173844b1a228a3fc3">is_resizable</a>(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</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#a3c8562a1f05d23f44aed87545b7892cf">ARM_COMPUTE_EXPECT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#aaee6555ace43b03173844b1a228a3fc3">is_resizable</a>(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3c8562a1f05d23f44aed87545b7892cf">ARM_COMPUTE_EXPECT</a>(out.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#aaee6555ace43b03173844b1a228a3fc3">is_resizable</a>(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>&#160;</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>&#160; <span class="comment">// Create and configure function</span></div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point.xhtml">CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint</a> output_stage;</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>&#160; output_stage.<a class="code" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point.xhtml#a15da37f661fdcd81c1f25c5d6bdc6abd">configure</a>(&amp;in, add_bias ? &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a> : <span class="keyword">nullptr</span>, &amp;out, result_fixedpoint_multiplier, result_shift, result_offset_after_shift, min, max);</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>&#160;</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>&#160; <span class="comment">// Validate valid region input and output</span></div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>&#160; <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7819bcbbf45c2e7c1396a137dce54422">valid_region</a> = <a class="code" href="namespacearm__compute_1_1test.xhtml#a8103df0e6c416f55f40106aa49072b42">shape_to_valid_region</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>);</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(in.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a3c20d908342087484d883574d55dd482">valid_region</a>(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7819bcbbf45c2e7c1396a137dce54422">valid_region</a>);</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(out.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a3c20d908342087484d883574d55dd482">valid_region</a>(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7819bcbbf45c2e7c1396a137dce54422">valid_region</a>);</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>&#160;</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>&#160; <span class="comment">// Validate valid region bias</span></div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>&#160; <span class="keywordflow">if</span>(add_bias)</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="keyword">const</span> <a class="code" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> valid_region_bias = <a class="code" href="namespacearm__compute_1_1test.xhtml#a8103df0e6c416f55f40106aa49072b42">shape_to_valid_region</a>(shape_bias);</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="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a3c20d908342087484d883574d55dd482">valid_region</a>(), valid_region_bias);</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"> 269</span>&#160;</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>&#160; <span class="comment">// Validate padding</span></div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>&#160; <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_border_size.xhtml">PaddingSize</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a735a025fce26c1ef147b54426df18181">padding</a> = <a class="code" href="classarm__compute_1_1test_1_1_padding_calculator.xhtml">PaddingCalculator</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>.x(), 4).required_padding();</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#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(in.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a79e20eacb1e963e24a21ebd7369effd7">padding</a>(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a735a025fce26c1ef147b54426df18181">padding</a>);</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(out.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a79e20eacb1e963e24a21ebd7369effd7">padding</a>(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a735a025fce26c1ef147b54426df18181">padding</a>);</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>&#160;</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>&#160; <span class="keywordflow">if</span>(add_bias)</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"> 277</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a79e20eacb1e963e24a21ebd7369effd7">padding</a>(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a735a025fce26c1ef147b54426df18181">padding</a>);</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>&#160; }</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>&#160;}</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>&#160;</div><div class="line"><a name="l00281"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a69e0db9d6ae5e9bcaf3ab8265846329e"> 281</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#a71106ae8df0196a319680b32270fd757">CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::SmallShapes(),</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>&#160; quantize_down_int32_to_uint8_scale_by_fixedpoint_cases))</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>&#160;{</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>&#160; <span class="comment">// Validate output</span></div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>(_target), _reference);</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>&#160;}</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"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a97ca34486637e8af800e3454281c4b38"> 288</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#a71106ae8df0196a319680b32270fd757">CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture</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>(datasets::LargeShapes(),</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>&#160; quantize_down_int32_to_uint8_scale_by_fixedpoint_cases))</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>&#160;{</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>&#160; <span class="comment">// Validate output</span></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#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>(_target), _reference);</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;</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#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(BoundedReLu)</div><div class="line"><a name="l00296"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae6e3bbf30e292da94aa475bf94b8aa77"> 296</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#a71106ae8df0196a319680b32270fd757">CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture</a>, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::ALL, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::SmallShapes(),</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#a78f0db008369b524e9f0f7c5f43ae7e6">quantize_down_int32_to_uint8_scale_by_fixedpoint_relu_cases</a>))</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>&#160;{</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>&#160; <span class="comment">// Validate output</span></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#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>(_target), _reference);</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>&#160;}</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>&#160;</div><div class="line"><a name="l00303"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa6c944dc360d1efc97ebd1171575d8e4"> 303</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#a71106ae8df0196a319680b32270fd757">CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture</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>(datasets::LargeShapes(),</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a78f0db008369b524e9f0f7c5f43ae7e6">quantize_down_int32_to_uint8_scale_by_fixedpoint_relu_cases</a>))</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>&#160;{</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>&#160; <span class="comment">// Validate output</span></div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>(_target), _reference);</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>&#160;}</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// BoundedReLu</span></div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// QuantizeDownInt32ToUint8ScaleByFixedPoint</span></div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(QuantizeDownInt32ToInt8ScaleByFixedPoint)</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>&#160;const auto quantize_down_int32_to_int8_scale_by_fixedpoint_cases = framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;result_fixedpoint_multiplier&quot;, 254601600, 254601602) * framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;result_shift&quot;, 1, 2)</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>&#160; * framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;result_offset_after_shift&quot;, 2, 3) * framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;min&quot;, 0) * framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;max&quot;, 0) * framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;addBias&quot;, { <span class="keyword">false</span>, <span class="keyword">true</span> });</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>&#160;</div><div class="line"><a name="l00315"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa0d5534b50faed5a95ee08c13b50c633"> 315</a></span>&#160;<span class="keyword">const</span> <span class="keyword">auto</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa0d5534b50faed5a95ee08c13b50c633">quantize_down_int32_to_int8_scale_by_fixedpoint_relu_cases</a> = <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;result_fixedpoint_multiplier&quot;</span>, 254601600, 254601602) * <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;result_shift&quot;</span>, 1, 2)</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>&#160; * <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;result_offset_after_shift&quot;</span>, 2, 3) * <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;min&quot;</span>, -128, -126) * <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;max&quot;</span>, 110, 112) * <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;addBias&quot;</span>, { <span class="keyword">false</span>, <span class="keyword">true</span> });</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>&#160;<span class="keyword">using</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4fb9944052d968ad6e68799093a9387d">CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointFixture</a> =</div><div class="line"><a name="l00318"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4fb9944052d968ad6e68799093a9387d"> 318</a></span>&#160; GEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointValidationFixture&lt;CLTensor, CLAccessor, CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPoint&gt;;</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>&#160;</div><div class="line"><a name="l00320"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a0ae7e97067397b6f6ba4bca6cfada98a"> 320</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f1266d183bfb4d479ec334fed85dc27">DATA_TEST_CASE</a>(Configuration, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::SmallShapes(), quantize_down_int32_to_int8_scale_by_fixedpoint_cases),</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>, result_fixedpoint_multiplier, result_shift, result_offset_after_shift, min, max, add_bias)</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>&#160;{</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> shape_bias(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>[0]);</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>&#160;</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>&#160; <span class="comment">// Create tensors</span></div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> in = create_tensor&lt;CLTensor&gt;(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a>);</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a> = create_tensor&lt;CLTensor&gt;(shape_bias, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a>);</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> out = create_tensor&lt;CLTensor&gt;(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a329f5d0c4b0c80e3474951d2c4435dd9">DataType::QASYMM8_SIGNED</a>);</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>&#160;</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3c8562a1f05d23f44aed87545b7892cf">ARM_COMPUTE_EXPECT</a>(in.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#aaee6555ace43b03173844b1a228a3fc3">is_resizable</a>(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3c8562a1f05d23f44aed87545b7892cf">ARM_COMPUTE_EXPECT</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#aaee6555ace43b03173844b1a228a3fc3">is_resizable</a>(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3c8562a1f05d23f44aed87545b7892cf">ARM_COMPUTE_EXPECT</a>(out.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#aaee6555ace43b03173844b1a228a3fc3">is_resizable</a>(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>&#160;</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>&#160; <span class="comment">// Create and configure function</span></div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_int8_scale_by_fixed_point.xhtml">CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPoint</a> output_stage;</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>&#160; output_stage.<a class="code" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_int8_scale_by_fixed_point.xhtml#a15da37f661fdcd81c1f25c5d6bdc6abd">configure</a>(&amp;in, add_bias ? &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a> : <span class="keyword">nullptr</span>, &amp;out, result_fixedpoint_multiplier, result_shift, result_offset_after_shift, min, max);</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>&#160;</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>&#160; <span class="comment">// Validate valid region input and output</span></div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>&#160; <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7819bcbbf45c2e7c1396a137dce54422">valid_region</a> = <a class="code" href="namespacearm__compute_1_1test.xhtml#a8103df0e6c416f55f40106aa49072b42">shape_to_valid_region</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>);</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(in.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a3c20d908342087484d883574d55dd482">valid_region</a>(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7819bcbbf45c2e7c1396a137dce54422">valid_region</a>);</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(out.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a3c20d908342087484d883574d55dd482">valid_region</a>(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7819bcbbf45c2e7c1396a137dce54422">valid_region</a>);</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>&#160;</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>&#160; <span class="comment">// Validate valid region bias</span></div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>&#160; <span class="keywordflow">if</span>(add_bias)</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>&#160; {</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>&#160; <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> valid_region_bias = <a class="code" href="namespacearm__compute_1_1test.xhtml#a8103df0e6c416f55f40106aa49072b42">shape_to_valid_region</a>(shape_bias);</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a3c20d908342087484d883574d55dd482">valid_region</a>(), valid_region_bias);</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>&#160; }</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>&#160;</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>&#160; <span class="comment">// Validate padding</span></div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>&#160; <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_border_size.xhtml">PaddingSize</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a735a025fce26c1ef147b54426df18181">padding</a> = <a class="code" href="classarm__compute_1_1test_1_1_padding_calculator.xhtml">PaddingCalculator</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>.x(), 4).required_padding();</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(in.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a79e20eacb1e963e24a21ebd7369effd7">padding</a>(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a735a025fce26c1ef147b54426df18181">padding</a>);</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(out.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a79e20eacb1e963e24a21ebd7369effd7">padding</a>(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a735a025fce26c1ef147b54426df18181">padding</a>);</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>&#160;</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>&#160; <span class="keywordflow">if</span>(add_bias)</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>&#160; {</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a79e20eacb1e963e24a21ebd7369effd7">padding</a>(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a735a025fce26c1ef147b54426df18181">padding</a>);</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>&#160; }</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>&#160;}</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>&#160;</div><div class="line"><a name="l00361"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a930f8d1dd8da6c27c613d195d50ea894"> 361</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#a4fb9944052d968ad6e68799093a9387d">CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointFixture</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::SmallShapes(),</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>&#160; quantize_down_int32_to_int8_scale_by_fixedpoint_cases))</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>&#160;{</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>&#160; <span class="comment">// Validate output</span></div><div class="line"><a name="l00365"></a><span class="lineno"> 365</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);</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>&#160;}</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>&#160;</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(BoundedReLu)</div><div class="line"><a name="l00369"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5265a7f3e2968dc71d4219902cbd4221"> 369</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#a4fb9944052d968ad6e68799093a9387d">CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointFixture</a>, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::ALL, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::SmallShapes(),</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa0d5534b50faed5a95ee08c13b50c633">quantize_down_int32_to_int8_scale_by_fixedpoint_relu_cases</a>))</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>&#160;{</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>&#160; <span class="comment">// Validate output</span></div><div class="line"><a name="l00373"></a><span class="lineno"> 373</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);</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>&#160;}</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>&#160;</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// BoundedReLu</span></div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// QuantizeDownInt32ToInt8ScaleByFixedPoint</span></div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(QuantizeDownInt32ToInt16ScaleByFixedPoint)</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>&#160;</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>&#160;const auto quantize_down_int32_to_int16_scale_by_fixedpoint_cases = framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;result_fixedpoint_multiplier&quot;, 254601600, 254601602) * framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;result_shift&quot;, 1,</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>&#160; 2)</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>&#160; * framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;min&quot;, 0) * framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;max&quot;, 0) * framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;addBias&quot;, { <span class="keyword">false</span>, <span class="keyword">true</span> });</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>&#160;</div><div class="line"><a name="l00384"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5417547010c7470eaeaca18aafb9b806"> 384</a></span>&#160;<span class="keyword">const</span> <span class="keyword">auto</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5417547010c7470eaeaca18aafb9b806">quantize_down_int32_to_int16_scale_by_fixedpoint_relu_cases</a> = <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;result_fixedpoint_multiplier&quot;</span>, 254601600, 254601602) * <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;result_shift&quot;</span>, 1,</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>&#160; 2)</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>&#160; * <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;min&quot;</span>, -2, 0) * <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;max&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;addBias&quot;</span>, { <span class="keyword">false</span>, <span class="keyword">true</span> });</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>&#160;</div><div class="line"><a name="l00388"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#abe0dff37a9f21afa7d32fb8a08a111c0"> 388</a></span>&#160;<span class="keyword">const</span> <span class="keyword">auto</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#abe0dff37a9f21afa7d32fb8a08a111c0">quantize_down_int32_to_int16_scale_by_fixedpoint_multgreat1_cases</a> = <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;result_fixedpoint_multiplier&quot;</span>, 1073741823,</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>&#160; 1073741825)</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>&#160; * <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;result_shift&quot;</span>, -3,</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>&#160; -2)</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>&#160; * <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;min&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;max&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;addBias&quot;</span>, { <span class="keyword">false</span>, <span class="keyword">true</span> });</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>&#160;</div><div class="line"><a name="l00394"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a222bcc3667f364855906f66baeb67b00"> 394</a></span>&#160;<span class="keyword">const</span> <span class="keyword">auto</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a222bcc3667f364855906f66baeb67b00">quantize_down_int32_to_int16_scale_by_fixedpoint_multgreat1_relu_cases</a> = <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;result_fixedpoint_multiplier&quot;</span>, 254601600,</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>&#160; 254601602)</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>&#160; * <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;result_shift&quot;</span>, -3,</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>&#160; -1)</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>&#160; * <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;min&quot;</span>, -2, 0) * <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;max&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;addBias&quot;</span>, { <span class="keyword">false</span>, <span class="keyword">true</span> });</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>&#160;</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>&#160;<span class="keyword">using</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a0155a800a4994d6df688cf73502aa1ea">CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointFixture</a> =</div><div class="line"><a name="l00401"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a0155a800a4994d6df688cf73502aa1ea"> 401</a></span>&#160; GEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointValidationFixture&lt;CLTensor, CLAccessor, CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPoint&gt;;</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>&#160;</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>&#160;<span class="comment">// *INDENT-OFF*</span></div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>&#160;<span class="comment">// clang-format off</span></div><div class="line"><a name="l00405"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a90ac4c27e9f0e7cf32c410de2437e69a"> 405</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f1266d183bfb4d479ec334fed85dc27">DATA_TEST_CASE</a>(Validate, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a96f9e78d0c2a93f0e3a876eeae4be4b0">zip</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a96f9e78d0c2a93f0e3a876eeae4be4b0">zip</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a96f9e78d0c2a93f0e3a876eeae4be4b0">zip</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a96f9e78d0c2a93f0e3a876eeae4be4b0">zip</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a96f9e78d0c2a93f0e3a876eeae4be4b0">zip</a>(</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;InputAInfo&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>(21<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>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a>),</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</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>(21<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>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a>), <span class="comment">// Invalid min and max</span></div><div class="line"><a name="l00408"></a><span class="lineno"> 408</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>(21<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>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a>), <span class="comment">// Wrong output data type</span></div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>&#160; }),</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;InputBInfo&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>(21U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a>),</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</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>(21U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a>),</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</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>(21U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a>),</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>&#160; })),</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</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>,{ <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>(21U, 13U), 1, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a3ca8a4ea8f992df3b462bc7b24d097c6">DataType::QSYMM16</a>),</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</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>(21U, 13U), 1, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a3ca8a4ea8f992df3b462bc7b24d097c6">DataType::QSYMM16</a>),</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</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>(20U, 13U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a>),</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>&#160; })),</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;Min&quot;</span>,{ -205,</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>&#160; -60000,</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>&#160; -180,</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>&#160; })),</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;Max&quot;</span>,{ 205,</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>&#160; 60000,</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>&#160; 180,</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>&#160; })),</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</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">true</span>, <span class="keyword">false</span>, <span class="keyword">false</span> })),</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>&#160; a_info, b_info, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a25cae7166733a51d1354f3f395652782">output_info</a>, min, max, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa6e67bddae371a5731f6d4002e787299">expected</a>)</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>&#160;{</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>&#160; <span class="comment">// Lock tensors</span></div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>&#160; Status status = <a class="code" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_int16_scale_by_fixed_point.xhtml#aee63e7671cf04d15be2da1b83d90e61b">CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPoint::validate</a>(&amp;a_info.clone()-&gt;set_is_resizable(<span class="keyword">true</span>),</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>&#160; &amp;b_info.clone()-&gt;set_is_resizable(<span class="keyword">true</span>),</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>&#160; &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a25cae7166733a51d1354f3f395652782">output_info</a>.clone()-&gt;set_is_resizable(<span class="keyword">true</span>),</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>&#160; min,</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>&#160; max);</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3c8562a1f05d23f44aed87545b7892cf">ARM_COMPUTE_EXPECT</a>(<span class="keywordtype">bool</span>(status) == <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="l00436"></a><span class="lineno"> 436</span>&#160;}</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>&#160;<span class="comment">// clang-format on</span></div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>&#160;<span class="comment">// *INDENT-ON*</span></div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(NoRelu)</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(MultSmallerEq1)</div><div class="line"><a name="l00441"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae33a3f780710827b7489cbc235807c7d"> 441</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunSmall, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a0155a800a4994d6df688cf73502aa1ea">CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointFixture</a>, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::ALL, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::SmallShapes(),</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>&#160; quantize_down_int32_to_int16_scale_by_fixedpoint_cases))</div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>&#160;{</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>&#160; <span class="comment">// Validate output</span></div><div class="line"><a name="l00445"></a><span class="lineno"> 445</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);</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>&#160;}</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// MultSmallerEq1</span></div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(MultGreater1)</div><div class="line"><a name="l00449"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a967401eccbdb2138e16cb65e97fa0620"> 449</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#a0155a800a4994d6df688cf73502aa1ea">CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointFixture</a>, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::ALL, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::SmallShapes(),</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#abe0dff37a9f21afa7d32fb8a08a111c0">quantize_down_int32_to_int16_scale_by_fixedpoint_multgreat1_cases</a>))</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>&#160;{</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>&#160; <span class="comment">// Validate output</span></div><div class="line"><a name="l00453"></a><span class="lineno"> 453</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);</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>&#160;}</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// MultGreater1</span></div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// NoRelu</span></div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(BoundedReLu)</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(MultSmallerEq1)</div><div class="line"><a name="l00459"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a11e72b50d7160d79cbfd225903ef9242"> 459</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#a0155a800a4994d6df688cf73502aa1ea">CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointFixture</a>, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::ALL, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::SmallShapes(),</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5417547010c7470eaeaca18aafb9b806">quantize_down_int32_to_int16_scale_by_fixedpoint_relu_cases</a>))</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>&#160;{</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>&#160; <span class="comment">// Validate output</span></div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>(_target), _reference);</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>&#160;}</div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// MultSmallerEq1</span></div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(MultGreater1)</div><div class="line"><a name="l00467"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#adee78274a83ccdab2afd88e064f08613"> 467</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#a0155a800a4994d6df688cf73502aa1ea">CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointFixture</a>, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::ALL, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7b9eaebbc5f863aec87551728eba105">combine</a>(datasets::SmallShapes(),</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a222bcc3667f364855906f66baeb67b00">quantize_down_int32_to_int16_scale_by_fixedpoint_multgreat1_relu_cases</a>))</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>&#160;{</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>&#160; <span class="comment">// Validate output</span></div><div class="line"><a name="l00471"></a><span class="lineno"> 471</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);</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>&#160;}</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// MultGreater1</span></div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// BoundedReLu</span></div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// QuantizeDownInt32ToInt16ScaleByFixedPoint</span></div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// OutputStage</span></div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// GEMMLowp</span></div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// CL</span></div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>&#160;} <span class="comment">// namespace validation</span></div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>&#160;} <span class="comment">// namespace test</span></div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>&#160;} <span class="comment">// namespace arm_compute</span></div><div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a45cde9abb508c62d67c3bb2b9bf566a5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">arm_compute::test::validation::shape</a></div><div class="ttdeci">shape</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_absolute_difference_8cpp_source.xhtml#l00097">AbsoluteDifference.cpp:97</a></div></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_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a3ca8a4ea8f992df3b462bc7b24d097c6"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a3ca8a4ea8f992df3b462bc7b24d097c6">arm_compute::DataType::QSYMM16</a></div><div class="ttdoc">quantized, symmetric fixed-point 16-bit number</div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml_ad45f0c01a0713dfb6bd7232c7f396fc4"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">arm_compute::CLTensor::info</a></div><div class="ttdeci">TensorInfo * info() const override</div><div class="ttdoc">Interface to be implemented by the child class to return the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_tensor_8cpp_source.xhtml#l00041">CLTensor.cpp:41</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_aaee6555ace43b03173844b1a228a3fc3"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#aaee6555ace43b03173844b1a228a3fc3">arm_compute::TensorInfo::is_resizable</a></div><div class="ttdeci">bool is_resizable() const override</div><div class="ttdoc">Flag indicating whether the size of the tensor can be changed.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00285">TensorInfo.h:285</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_aa0d5534b50faed5a95ee08c13b50c633"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#aa0d5534b50faed5a95ee08c13b50c633">arm_compute::test::validation::quantize_down_int32_to_int8_scale_by_fixedpoint_relu_cases</a></div><div class="ttdeci">const auto quantize_down_int32_to_int8_scale_by_fixedpoint_relu_cases</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_g_e_m_m_lowp_8cpp_source.xhtml#l00315">GEMMLowp.cpp:315</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a222bcc3667f364855906f66baeb67b00"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a222bcc3667f364855906f66baeb67b00">arm_compute::test::validation::quantize_down_int32_to_int16_scale_by_fixedpoint_multgreat1_relu_cases</a></div><div class="ttdeci">const auto quantize_down_int32_to_int16_scale_by_fixedpoint_multgreat1_relu_cases</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_g_e_m_m_lowp_8cpp_source.xhtml#l00394">GEMMLowp.cpp:394</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_int8_scale_by_fixed_point_xhtml_a15da37f661fdcd81c1f25c5d6bdc6abd"><div class="ttname"><a href="classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_int8_scale_by_fixed_point.xhtml#a15da37f661fdcd81c1f25c5d6bdc6abd">arm_compute::CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPoint::configure</a></div><div class="ttdeci">void configure(const ICLTensor *input, const ICLTensor *bias, ICLTensor *output, int result_fixedpoint_multiplier, int result_shift, int result_offset_after_shift, int min=0, int max=0)</div><div class="ttdoc">Initialise the kernel's inputs, output.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_g_e_m_m_lowp_output_stage_8cpp_source.xhtml#l00063">CLGEMMLowpOutputStage.cpp:63</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_aa76b4a6e74940dabc5b7fc6b2dab3545"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">arm_compute::test::validation::b</a></div><div class="ttdeci">SimpleTensor&lt; float &gt; b</div><div class="ttdef"><b>Definition:</b> <a href="_c_p_p_2_d_f_t_8cpp_source.xhtml#l00157">DFT.cpp:157</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a527c6fecbfe2c655c29481170eeee85a"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a527c6fecbfe2c655c29481170eeee85a">arm_compute::test::validation::CLGEMMLowpQuantizeDownInt32ToUint8ScaleFixture</a></div><div class="ttdeci">GEMMLowpQuantizeDownInt32ToUint8ScaleValidationFixture&lt; CLTensor, CLAccessor, CLGEMMLowpQuantizeDownInt32ToUint8Scale &gt; CLGEMMLowpQuantizeDownInt32ToUint8ScaleFixture</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_g_e_m_m_lowp_8cpp_source.xhtml#l00159">GEMMLowp.cpp:159</a></div></div>
<div class="ttc" id="structarm__compute_1_1_border_size_xhtml"><div class="ttname"><a href="structarm__compute_1_1_border_size.xhtml">arm_compute::BorderSize</a></div><div class="ttdoc">Container for 2D border size.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00269">Types.h:269</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a3c20d908342087484d883574d55dd482"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a3c20d908342087484d883574d55dd482">arm_compute::TensorInfo::valid_region</a></div><div class="ttdeci">ValidRegion valid_region() const override</div><div class="ttdoc">Valid region of the tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00303">TensorInfo.h:303</a></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="classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_int16_scale_by_fixed_point_xhtml_aee63e7671cf04d15be2da1b83d90e61b"><div class="ttname"><a href="classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_int16_scale_by_fixed_point.xhtml#aee63e7671cf04d15be2da1b83d90e61b">arm_compute::CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPoint::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, int min=0, int max=0)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of CLGEMMLowpQuantizeDownIn...</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_g_e_m_m_lowp_output_stage_8cpp_source.xhtml#l00102">CLGEMMLowpOutputStage.cpp:102</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="_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_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="classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_xhtml_a15da37f661fdcd81c1f25c5d6bdc6abd"><div class="ttname"><a href="classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point.xhtml#a15da37f661fdcd81c1f25c5d6bdc6abd">arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint::configure</a></div><div class="ttdeci">void configure(const ICLTensor *input, const ICLTensor *bias, ICLTensor *output, int result_fixedpoint_multiplier, int result_shift, int result_offset_after_shift, int min=0, int max=0)</div><div class="ttdoc">Initialise the kernel's inputs, output.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_g_e_m_m_lowp_output_stage_8cpp_source.xhtml#l00048">CLGEMMLowpOutputStage.cpp:48</a></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_g_e_m_m_lowp_matrix_multiply_core_xhtml_a0ae54876c8c3394f2e207f6b884f2b58"><div class="ttname"><a href="classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml#a0ae54876c8c3394f2e207f6b884f2b58">arm_compute::CLGEMMLowpMatrixMultiplyCore::configure</a></div><div class="ttdeci">void configure(const ICLTensor *a, const ICLTensor *b, const ICLTensor *c, ICLTensor *output, const GEMMInfo &amp;gemm_info=GEMMInfo())</div><div class="ttdoc">Initialise the kernel's inputs, output.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_g_e_m_m_lowp_matrix_multiply_core_8cpp_source.xhtml#l00083">CLGEMMLowpMatrixMultiplyCore.cpp:83</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_a71106ae8df0196a319680b32270fd757"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a71106ae8df0196a319680b32270fd757">arm_compute::test::validation::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture</a></div><div class="ttdeci">GEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointValidationFixture&lt; CLTensor, CLAccessor, CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint &gt; CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_g_e_m_m_lowp_8cpp_source.xhtml#l00238">GEMMLowp.cpp:238</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a79e20eacb1e963e24a21ebd7369effd7"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a79e20eacb1e963e24a21ebd7369effd7">arm_compute::TensorInfo::padding</a></div><div class="ttdeci">PaddingSize padding() const override</div><div class="ttdoc">Padding of tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00277">TensorInfo.h:277</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_xhtml_af127cda81674a7864000a3e70877c4c2"><div class="ttname"><a href="classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale.xhtml#af127cda81674a7864000a3e70877c4c2">arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8Scale::configure</a></div><div class="ttdeci">void configure(const ICLTensor *input, const ICLTensor *bias, ICLTensor *output, int result_offset, int result_mult_int, int result_shift, int min=0, int max=0)</div><div class="ttdoc">Initialise the kernel's inputs, output.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_g_e_m_m_lowp_output_stage_8cpp_source.xhtml#l00036">CLGEMMLowpOutputStage.cpp:36</a></div></div>
<div class="ttc" id="_c_l_accessor_8h_xhtml"><div class="ttname"><a href="_c_l_accessor_8h.xhtml">CLAccessor.h</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">Copyright (c) 2017-2020 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_1_1test_1_1validation_xhtml_a97da2c3a2175f6eb2ec8e5ad4236d52d"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a97da2c3a2175f6eb2ec8e5ad4236d52d">arm_compute::test::validation::CLGEMMLowpMatrixMultiplyCoreFusedOffsetOutputUint8Fixture</a></div><div class="ttdeci">GEMMLowpMatrixMultiplyCoreFusedOffsetOutputValidationFixture&lt; CLTensor, CLAccessor, CLGEMMLowpMatrixMultiplyCore &gt; CLGEMMLowpMatrixMultiplyCoreFusedOffsetOutputUint8Fixture</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_g_e_m_m_lowp_8cpp_source.xhtml#l00092">GEMMLowp.cpp:92</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a78839e7861ba8ffed52ca55da2745761"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a78839e7861ba8ffed52ca55da2745761">arm_compute::TensorInfo::set_quantization_info</a></div><div class="ttdeci">ITensorInfo &amp; set_quantization_info(const QuantizationInfo &amp;quantization_info) override</div><div class="ttdoc">Set the quantization settings (scale and offset) of the tensor.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_tensor_info_8cpp_source.xhtml#l00372">TensorInfo.cpp:372</a></div></div>
<div class="ttc" id="_c_l_g_e_m_m_lowp_output_stage_8h_xhtml"><div class="ttname"><a href="_c_l_g_e_m_m_lowp_output_stage_8h.xhtml">CLGEMMLowpOutputStage.h</a></div></div>
<div class="ttc" id="_c_l_tensor_allocator_8h_xhtml"><div class="ttname"><a href="_c_l_tensor_allocator_8h.xhtml">CLTensorAllocator.h</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">arm_compute::Format::S32</a></div><div class="ttdoc">1 channel, 1 S32 per channel</div></div>
<div class="ttc" id="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="classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale.xhtml">arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8Scale</a></div><div class="ttdoc">Basic function to execute CLGEMMLowpQuantizeDownInt32ToUint8Scale on OpenCL.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_g_e_m_m_lowp_output_stage_8h_source.xhtml#l00059">CLGEMMLowpOutputStage.h:59</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="namespacearm__compute_1_1test_1_1validation_xhtml_ab39cf9de6ce4ea1cac5ddc8d2ca3175f"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ab39cf9de6ce4ea1cac5ddc8d2ca3175f">arm_compute::test::validation::quantize_down_int32_to_uint8_scale_relu_cases</a></div><div class="ttdeci">const auto quantize_down_int32_to_uint8_scale_relu_cases</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_g_e_m_m_lowp_8cpp_source.xhtml#l00155">GEMMLowp.cpp:155</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_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="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_a7819bcbbf45c2e7c1396a137dce54422"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a7819bcbbf45c2e7c1396a137dce54422">arm_compute::test::validation::valid_region</a></div><div class="ttdeci">const ValidRegion valid_region</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_absolute_difference_8cpp_source.xhtml#l00109">AbsoluteDifference.cpp:109</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a3a77be8aebd8e00522b32061d46ccdbd"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">arm_compute::test::validation::bias</a></div><div class="ttdeci">CLTensor bias</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00189">ConvolutionLayer.cpp:189</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_1_1test_1_1validation_xhtml_a0155a800a4994d6df688cf73502aa1ea"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a0155a800a4994d6df688cf73502aa1ea">arm_compute::test::validation::CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointFixture</a></div><div class="ttdeci">GEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointValidationFixture&lt; CLTensor, CLAccessor, CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPoint &gt; CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointFixture</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_g_e_m_m_lowp_8cpp_source.xhtml#l00401">GEMMLowp.cpp:401</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ac95a886daa65a1813ffe9498074d2f39"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">arm_compute::test::validation::FIXTURE_DATA_TEST_CASE</a></div><div class="ttdeci">FIXTURE_DATA_TEST_CASE(RunSmall, CLAbsLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))</div><div class="ttdef"><b>Definition:</b> <a href="_abs_layer_8cpp_source.xhtml#l00050">AbsLayer.cpp:50</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_int8_scale_by_fixed_point_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_int8_scale_by_fixed_point.xhtml">arm_compute::CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPoint</a></div><div class="ttdoc">Basic function to execute CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPoint on OpenCL.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_g_e_m_m_lowp_output_stage_8h_source.xhtml#l00180">CLGEMMLowpOutputStage.h:180</a></div></div>
<div class="ttc" id="_c_l_g_e_m_m_lowp_matrix_multiply_core_8h_xhtml"><div class="ttname"><a href="_c_l_g_e_m_m_lowp_matrix_multiply_core_8h.xhtml">CLGEMMLowpMatrixMultiplyCore.h</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1framework_xhtml_a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">arm_compute::test::framework::DatasetMode::NIGHTLY</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ae02c6fc90d9c60c634bfa258049eb46b"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">arm_compute::test::validation::validate</a></div><div class="ttdeci">validate(dst.info() -&gt;valid_region(), valid_region)</div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_abe0dff37a9f21afa7d32fb8a08a111c0"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#abe0dff37a9f21afa7d32fb8a08a111c0">arm_compute::test::validation::quantize_down_int32_to_int16_scale_by_fixedpoint_multgreat1_cases</a></div><div class="ttdeci">const auto quantize_down_int32_to_int16_scale_by_fixedpoint_multgreat1_cases</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_g_e_m_m_lowp_8cpp_source.xhtml#l00388">GEMMLowp.cpp:388</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1framework_xhtml_a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">arm_compute::test::framework::DatasetMode::ALL</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_g_e_m_m_lowp_quantize_down_int32_to_uint8_scale_by_fixed_point.xhtml">arm_compute::CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint</a></div><div class="ttdoc">Basic function to execute CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint on OpenCL.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_g_e_m_m_lowp_output_stage_8h_source.xhtml#l00119">CLGEMMLowpOutputStage.h:119</a></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_a4fb9944052d968ad6e68799093a9387d"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a4fb9944052d968ad6e68799093a9387d">arm_compute::test::validation::CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointFixture</a></div><div class="ttdeci">GEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointValidationFixture&lt; CLTensor, CLAccessor, CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPoint &gt; CLGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointFixture</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_g_e_m_m_lowp_8cpp_source.xhtml#l00318">GEMMLowp.cpp:318</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="classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_core.xhtml">arm_compute::CLGEMMLowpMatrixMultiplyCore</a></div><div class="ttdoc">Basic function to execute GEMMLowpMatrixMultiplyCore on OpenCL.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_g_e_m_m_lowp_matrix_multiply_core_8h_source.xhtml#l00056">CLGEMMLowpMatrixMultiplyCore.h:56</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a329f5d0c4b0c80e3474951d2c4435dd9"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a329f5d0c4b0c80e3474951d2c4435dd9">arm_compute::DataType::QASYMM8_SIGNED</a></div><div class="ttdoc">quantized, asymmetric fixed-point 8-bit number signed</div></div>
<div class="ttc" id="structarm__compute_1_1_valid_region_xhtml"><div class="ttname"><a href="structarm__compute_1_1_valid_region.xhtml">arm_compute::ValidRegion</a></div><div class="ttdoc">Container for valid region of a window.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00184">Types.h:184</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_1_1test_1_1validation_xhtml_a735a025fce26c1ef147b54426df18181"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a735a025fce26c1ef147b54426df18181">arm_compute::test::validation::padding</a></div><div class="ttdeci">const PaddingSize padding</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_absolute_difference_8cpp_source.xhtml#l00113">AbsoluteDifference.cpp:113</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a78f0db008369b524e9f0f7c5f43ae7e6"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a78f0db008369b524e9f0f7c5f43ae7e6">arm_compute::test::validation::quantize_down_int32_to_uint8_scale_by_fixedpoint_relu_cases</a></div><div class="ttdeci">const auto quantize_down_int32_to_uint8_scale_by_fixedpoint_relu_cases</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_g_e_m_m_lowp_8cpp_source.xhtml#l00234">GEMMLowp.cpp:234</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_a5417547010c7470eaeaca18aafb9b806"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a5417547010c7470eaeaca18aafb9b806">arm_compute::test::validation::quantize_down_int32_to_int16_scale_by_fixedpoint_relu_cases</a></div><div class="ttdeci">const auto quantize_down_int32_to_int16_scale_by_fixedpoint_relu_cases</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_g_e_m_m_lowp_8cpp_source.xhtml#l00384">GEMMLowp.cpp:384</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="namespacearm__compute_1_1test_1_1validation_xhtml_a987e738d167c4e273e09c6295fdde3a4"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a987e738d167c4e273e09c6295fdde3a4">arm_compute::test::validation::CLGEMMLowpMatrixMultiplyCoreFixture</a></div><div class="ttdeci">GEMMLowpMatrixMultiplyCoreValidationFixture&lt; CLTensor, CLAccessor, CLGEMMLowpMatrixMultiplyCore &gt; CLGEMMLowpMatrixMultiplyCoreFixture</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_g_e_m_m_lowp_8cpp_source.xhtml#l00055">GEMMLowp.cpp:55</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_xhtml_a8103df0e6c416f55f40106aa49072b42"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#a8103df0e6c416f55f40106aa49072b42">arm_compute::test::shape_to_valid_region</a></div><div class="ttdeci">ValidRegion shape_to_valid_region(const TensorShape &amp;a_shape, bool border_undefined=false, BorderSize border_size=BorderSize(0))</div><div class="ttdoc">Create a valid region based on tensor shape, border mode and border size.</div><div class="ttdef"><b>Definition:</b> <a href="tests_2_utils_8h_source.xhtml#l00224">Utils.h:224</a></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="classarm__compute_1_1test_1_1_padding_calculator_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1_padding_calculator.xhtml">arm_compute::test::PaddingCalculator</a></div><div class="ttdoc">Calculate required padding.</div><div class="ttdef"><b>Definition:</b> <a href="_padding_calculator_8h_source.xhtml#l00036">PaddingCalculator.h:36</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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