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<div class="title">Unstack.cpp</div> </div>
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<a href="_c_l_2_unstack_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) 2018 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_unstack_8h.xhtml">arm_compute/runtime/CL/functions/CLUnstack.h</a>&quot;</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;</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;tests/datasets/ShapeDatasets.h&quot;</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</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="l00032"></a><span class="lineno"> 32</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="l00033"></a><span class="lineno"> 33</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="l00034"></a><span class="lineno"> 34</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="l00035"></a><span class="lineno"> 35</span>&#160;<span class="preprocessor">#include &quot;tests/validation/fixtures/UnstackFixture.h&quot;</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;{</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160;<span class="keyword">namespace </span>test</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>validation</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></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">const</span> <span class="keyword">auto</span> unstack_axis_dataset = <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;Axis&quot;</span>, -3, 3);</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160;<span class="keyword">const</span> <span class="keyword">auto</span> unstack_num_dataset = <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;Num&quot;</span>, 1, 3); <span class="comment">// The length of the dimension axis</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160;<span class="keyword">const</span> <span class="keyword">auto</span> unstack_dataset_small = datasets::Small3DShapes() * unstack_axis_dataset * unstack_num_dataset;</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160;} <span class="comment">//namespace</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160;</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(CL)</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>(Unstack)</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160;</div><div class="line"><a name="l00053"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a0ccbbd6a9efa693cbd9ad13cafef40f1"> 53</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f1266d183bfb4d479ec334fed85dc27">DATA_TEST_CASE</a>(Validate, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::ALL, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a96f9e78d0c2a93f0e3a876eeae4be4b0">zip</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a96f9e78d0c2a93f0e3a876eeae4be4b0">zip</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a96f9e78d0c2a93f0e3a876eeae4be4b0">zip</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a96f9e78d0c2a93f0e3a876eeae4be4b0">zip</a>(</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;InputInfo&quot;,</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160;{</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</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>(1<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 9<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 8<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>), <span class="comment">// Passes, 1 slice on x axis</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</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>(1<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 2<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 3<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>), <span class="comment">// fails because axis &gt; input&#39;s rank</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</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>(1<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 2<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 3<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">// fails axis &lt; (- input&#39;s rank)</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</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>(3<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 7<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 5<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">// passes, 3 slices along X</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</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>(13<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 7<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 5<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">DataType::S16</a>), <span class="comment">// fails, too few output slices</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</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>(1<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 2<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 3<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>), <span class="comment">// fails mismatching data types</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160;}),</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160;<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>,</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; std::vector&lt;TensorInfo&gt;{ <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>(9U, 8U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>) }, std::vector&lt;TensorInfo&gt;{ <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(2U, 3U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>) }, std::vector&lt;TensorInfo&gt;{ TensorInfo(TensorShape(2U, 3U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a>) },</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; std::vector&lt;TensorInfo&gt;{ TensorInfo(TensorShape(7U, 5U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a>), TensorInfo(TensorShape(7U, 5U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a>), TensorInfo(TensorShape(7U, 5U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a>) }, std::vector&lt;TensorInfo&gt;{ TensorInfo(TensorShape(7U, 5U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">DataType::S16</a>) }, std::vector&lt;TensorInfo&gt;{ TensorInfo(TensorShape(9U, 8U), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a>) },</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160;})),</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;Axis&quot;</span>, { -3, 3, -4, -3, 1, 1 })),</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;Num&quot;</span>, { 1, 1, 1, 1, 0, 1 })),</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</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>, <span class="keyword">true</span>, <span class="keyword">false</span>, <span class="keyword">false</span> })),</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae008e90eb6906fa3526213bc860f6cc5">input_info</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a25cae7166733a51d1354f3f395652782">output_info</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#accc088009d44c521706aa98d6387ee21">axis</a>, num, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa6e67bddae371a5731f6d4002e787299">expected</a>)</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160;{</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; std::vector&lt;TensorInfo&gt; ti(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a25cae7166733a51d1354f3f395652782">output_info</a>);</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; std::vector&lt;ITensorInfo *&gt; vec(num);</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> j = 0; j &lt; vec.size(); ++j)</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; vec[j] = &amp;ti[j];</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; }</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3c8562a1f05d23f44aed87545b7892cf">ARM_COMPUTE_EXPECT</a>(<span class="keywordtype">bool</span>(<a class="code" href="classarm__compute_1_1_c_l_unstack.xhtml#a92dbfe89d4cdbaec6e96dcd3f529a86d">CLUnstack::validate</a>(&amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae008e90eb6906fa3526213bc860f6cc5">input_info</a>.clone()-&gt;set_is_resizable(<span class="keyword">false</span>), vec, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#accc088009d44c521706aa98d6387ee21">axis</a>)) == <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="l00081"></a><span class="lineno"> 81</span>&#160;}</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160;</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00084"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4e38dd6a5d81e1f8718984412ec2ba3f"> 84</a></span>&#160;<span class="keyword">using</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4e38dd6a5d81e1f8718984412ec2ba3f">CLUnstackFixture</a> = UnstackValidationFixture&lt;CLTensor, ICLTensor, CLAccessor, CLUnstack, T&gt;;</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;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(F32)</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#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(RunSmall, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4e38dd6a5d81e1f8718984412ec2ba3f">CLUnstackFixture&lt;float&gt;</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfab829534c7b40afdbd3c3ffea05202a97">framework::DatasetMode::PRECOMMIT</a>, unstack_dataset_small * <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataType&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a> }))</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160;{</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(_target.size() != _reference.size());</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; <span class="comment">// Validate output</span></div><div class="line"><a name="l00091"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a0886942393a3ba0dfefaa7516b159784"> 91</a></span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> k = 0; k &lt; _target.size(); ++k)</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; {</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</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[k]), _reference[k]);</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; }</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;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// F32</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160;</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(F16)</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</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#a4e38dd6a5d81e1f8718984412ec2ba3f">CLUnstackFixture</a>&lt;<a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a>&gt;, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::PRECOMMIT, unstack_dataset_small * 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#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a> }))</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160;{</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(_target.size() != _reference.size());</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; <span class="comment">// Validate output</span></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> k = 0; k &lt; _target.size(); ++k)</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; {</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(CLAccessor(_target[k]), _reference[k]);</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; }</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160;}</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// F16</span></div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160;</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(Quantized)</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</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#a4e38dd6a5d81e1f8718984412ec2ba3f">CLUnstackFixture</a>&lt;uint8_t&gt;, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::PRECOMMIT, unstack_dataset_small * 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="l00112"></a><span class="lineno"> 112</span>&#160;{</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(_target.size() != _reference.size());</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; <span class="comment">// Validate output</span></div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> k = 0; k &lt; _target.size(); ++k)</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; {</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#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(CLAccessor(_target[k]), _reference[k]);</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;}</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</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="l00121"></a><span class="lineno"> 121</span>&#160;</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// Unstack</span></div><div class="line"><a name="l00123"></a><span class="lineno"> 123</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="l00124"></a><span class="lineno"> 124</span>&#160;} <span class="comment">// namespace validation</span></div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160;} <span class="comment">// namespace test</span></div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160;} <span class="comment">// namespace arm_compute</span></div><div class="ttc" id="_c_l_unstack_8h_xhtml"><div class="ttname"><a href="_c_l_unstack_8h.xhtml">CLUnstack.h</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_1_1test_1_1validation_xhtml_aa6e67bddae371a5731f6d4002e787299"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#aa6e67bddae371a5731f6d4002e787299">arm_compute::test::validation::expected</a></div><div class="ttdeci">expected</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_batch_normalization_layer_8cpp_source.xhtml#l00197">BatchNormalizationLayer.cpp:197</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">arm_compute::Format::U8</a></div><div class="ttdoc">1 channel, 1 U8 per channel</div></div>
<div class="ttc" id="_c_l_tensor_8h_xhtml"><div class="ttname"><a href="_c_l_tensor_8h.xhtml">CLTensor.h</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a73e2825fd61d349c5ca2f5313e3c8ea1"><div class="ttname"><a href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">arm_compute::half</a></div><div class="ttdeci">half_float::half half</div><div class="ttdoc">16-bit floating point type</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00045">Types.h:45</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::Format::F32</a></div><div class="ttdoc">1 channel, 1 F32 per channel</div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a3c8562a1f05d23f44aed87545b7892cf"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a3c8562a1f05d23f44aed87545b7892cf">arm_compute::test::validation::ARM_COMPUTE_EXPECT</a></div><div class="ttdeci">ARM_COMPUTE_EXPECT(has_error==expected, framework::LogLevel::ERRORS)</div></div>
<div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00466">Error.h:466</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="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_a4e38dd6a5d81e1f8718984412ec2ba3f"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a4e38dd6a5d81e1f8718984412ec2ba3f">arm_compute::test::validation::CLUnstackFixture</a></div><div class="ttdeci">UnstackValidationFixture&lt; CLTensor, ICLTensor, CLAccessor, CLUnstack, T &gt; CLUnstackFixture</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_unstack_8cpp_source.xhtml#l00084">Unstack.cpp:84</a></div></div>
<div class="ttc" id="_c_l_accessor_8h_xhtml"><div class="ttname"><a href="_c_l_accessor_8h.xhtml">CLAccessor.h</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1framework_xhtml_a7edf31944a6144ffd493d2f9a7bfb5cfab829534c7b40afdbd3c3ffea05202a97"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfab829534c7b40afdbd3c3ffea05202a97">arm_compute::test::framework::DatasetMode::PRECOMMIT</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">Copyright (c) 2017-2020 ARM Limited.</div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00024">00_introduction.dox:24</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">arm_compute::Format::F16</a></div><div class="ttdoc">1 channel, 1 F16 per channel</div></div>
<div class="ttc" id="_c_l_tensor_allocator_8h_xhtml"><div class="ttname"><a href="_c_l_tensor_allocator_8h.xhtml">CLTensorAllocator.h</a></div></div>
<div class="ttc" id="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_c_l_unstack_xhtml_a92dbfe89d4cdbaec6e96dcd3f529a86d"><div class="ttname"><a href="classarm__compute_1_1_c_l_unstack.xhtml#a92dbfe89d4cdbaec6e96dcd3f529a86d">arm_compute::CLUnstack::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *input, const std::vector&lt; ITensorInfo * &gt; &amp;output_vector, int axis)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of CLUnstack.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_unstack_8cpp_source.xhtml#l00090">CLUnstack.cpp:90</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1framework_xhtml_a7edf31944a6144ffd493d2f9a7bfb5cf"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">arm_compute::test::framework::DatasetMode</a></div><div class="ttdeci">DatasetMode</div><div class="ttdoc">Possible dataset modes.</div><div class="ttdef"><b>Definition:</b> <a href="_dataset_modes_8h_source.xhtml#l00040">DatasetModes.h:40</a></div></div>
<div class="ttc" id="_datasets_8h_xhtml"><div class="ttname"><a href="_datasets_8h.xhtml">Datasets.h</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ae008e90eb6906fa3526213bc860f6cc5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ae008e90eb6906fa3526213bc860f6cc5">arm_compute::test::validation::input_info</a></div><div class="ttdeci">input_info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00328">Winograd.cpp:328</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">arm_compute::DataType::QASYMM8</a></div><div class="ttdoc">quantized, asymmetric fixed-point 8-bit number unsigned</div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_c_l_accessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">arm_compute::test::CLAccessor</a></div><div class="ttdoc">Accessor implementation for CLTensor objects.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_accessor_8h_source.xhtml#l00035">CLAccessor.h:35</a></div></div>
<div class="ttc" id="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="tests_2framework_2_macros_8h_xhtml"><div class="ttname"><a href="tests_2framework_2_macros_8h.xhtml">Macros.h</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">arm_compute::Format::S16</a></div><div class="ttdoc">1 channel, 1 S16 per channel</div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ac95a886daa65a1813ffe9498074d2f39"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">arm_compute::test::validation::FIXTURE_DATA_TEST_CASE</a></div><div class="ttdeci">FIXTURE_DATA_TEST_CASE(RunSmall, CLAbsLayerFixture&lt; half &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make(&quot;DataType&quot;, DataType::F16)))</div><div class="ttdef"><b>Definition:</b> <a href="_abs_layer_8cpp_source.xhtml#l00050">AbsLayer.cpp:50</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_accc088009d44c521706aa98d6387ee21"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#accc088009d44c521706aa98d6387ee21">arm_compute::test::validation::axis</a></div><div class="ttdeci">axis</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_stack_layer_8cpp_source.xhtml#l00226">StackLayer.cpp:226</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_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="classarm__compute_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml">arm_compute::TensorInfo</a></div><div class="ttdoc">Store the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00045">TensorInfo.h:45</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1framework_xhtml_aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">arm_compute::test::framework::LogLevel::ERRORS</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_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_a8f65156abdd90180036790221cfc915f"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">arm_compute::test::validation::TEST_SUITE</a></div><div class="ttdeci">TEST_SUITE(U8_to_S8) DATA_TEST_CASE(Configuration</div></div>
<div class="ttc" id="_asserts_8h_xhtml"><div class="ttname"><a href="_asserts_8h.xhtml">Asserts.h</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a1f1266d183bfb4d479ec334fed85dc27"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f1266d183bfb4d479ec334fed85dc27">arm_compute::test::validation::DATA_TEST_CASE</a></div><div class="ttdeci">DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), AbsoluteDifferenceU8Dataset), shape, data_type0, data_type1, output_data_type)</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_absolute_difference_8cpp_source.xhtml#l00060">AbsoluteDifference.cpp:60</a></div></div>
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