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<div class="title">DynamicTensor.cpp</div> </div>
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<a href="_c_l_2_u_n_i_t_2_dynamic_tensor_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) 2019 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;<span class="comment"> * of this software and associated documentation files (the &quot;Software&quot;), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="comment"> * THE SOFTWARE IS PROVIDED &quot;AS IS&quot;, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;<span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;<span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;<span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;<span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;<span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_blob_lifetime_manager_8h.xhtml">arm_compute/runtime/BlobLifetimeManager.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_buffer_allocator_8h.xhtml">arm_compute/runtime/CL/CLBufferAllocator.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_convolution_layer_8h.xhtml">arm_compute/runtime/CL/functions/CLConvolutionLayer.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_l2_normalize_layer_8h.xhtml">arm_compute/runtime/CL/functions/CLL2NormalizeLayer.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="_memory_group_8h.xhtml">arm_compute/runtime/MemoryGroup.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="_memory_manager_on_demand_8h.xhtml">arm_compute/runtime/MemoryManagerOnDemand.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="_pool_manager_8h.xhtml">arm_compute/runtime/PoolManager.h</a>&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="_toolchain_support_8h.xhtml">support/ToolchainSupport.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="_assets_library_8h.xhtml">tests/AssetsLibrary.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="_c_l_accessor_8h.xhtml">tests/CL/CLAccessor.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="_globals_8h.xhtml">tests/Globals.h</a>&quot;</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="tests_2_utils_8h.xhtml">tests/Utils.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="_asserts_8h.xhtml">tests/framework/Asserts.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="tests_2framework_2_macros_8h.xhtml">tests/framework/Macros.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="_datasets_8h.xhtml">tests/framework/datasets/Datasets.h</a>&quot;</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</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="l00040"></a><span class="lineno"> 40</span>&#160;<span class="preprocessor">#include &quot;tests/validation/fixtures/UNIT/DynamicTensorFixture.h&quot;</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160;</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160;{</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160;<span class="keyword">namespace </span>test</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160;{</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160;<span class="keyword">namespace </span>validation</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160;{</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160;<span class="keyword">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;constexpr AbsoluteTolerance&lt;float&gt; absolute_tolerance_float(0.0001f); <span class="comment">/**&lt; Absolute Tolerance value for comparing reference&#39;s output against implementation&#39;s output for DataType::F32 */</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160;RelativeTolerance&lt;float&gt; <a class="code" href="cl__gemm_8cpp.xhtml#ae7f215e412cfa0dae5a983b0bf4071a1">tolerance_f32</a>(0.1f); <span class="comment">/**&lt; Tolerance value for comparing reference&#39;s output against implementation&#39;s output for DataType::F32 */</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160;constexpr <span class="keywordtype">float</span> tolerance_num = 0.07f; <span class="comment">/**&lt; Tolerance number */</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160;} <span class="comment">// namespace</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160;</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160;<span class="preprocessor">#ifndef DOXYGEN_SKIP_THIS</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160;<span class="keyword">using</span> CLL2NormLayerWrapper = SimpleFunctionWrapper&lt;MemoryManagerOnDemand, CLL2NormalizeLayer, ICLTensor&gt;;</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160;<span class="keyword">template</span> &lt;&gt;</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160;<span class="keywordtype">void</span> CLL2NormLayerWrapper::configure(ICLTensor *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>, ICLTensor *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>)</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160;{</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; _func.configure(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>, 0, 0.0001f);</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160;}</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160;<span class="preprocessor">#endif // DOXYGEN_SKIP_THIS</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(CL)</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(UNIT)</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f65156abdd90180036790221cfc915f">TEST_SUITE</a>(DynamicTensor)</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"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a66564a16224c4e8ba8de706d4b1b75ea"> 67</a></span>&#160;using <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a66564a16224c4e8ba8de706d4b1b75ea">BlobMemoryManagementService</a> = MemoryManagementService&lt;<a class="code" href="classarm__compute_1_1_c_l_buffer_allocator.xhtml">CLBufferAllocator</a>, <a class="code" href="classarm__compute_1_1_blob_lifetime_manager.xhtml">BlobLifetimeManager</a>, <a class="code" href="classarm__compute_1_1_pool_manager.xhtml">PoolManager</a>, <a class="code" href="classarm__compute_1_1_memory_manager_on_demand.xhtml">MemoryManagerOnDemand</a>&gt;;</div><div class="line"><a name="l00068"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7a60565bc073f8bc7f03f8a766e850e6"> 68</a></span>&#160;using <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7a60565bc073f8bc7f03f8a766e850e6">CLDynamicTensorType3SingleFunction</a> = DynamicTensorType3SingleFunction&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="namespacearm__compute_1_1test_1_1validation.xhtml#a66564a16224c4e8ba8de706d4b1b75ea">BlobMemoryManagementService</a>, CLL2NormLayerWrapper&gt;;</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160;<span class="comment">/** Tests the memory manager with dynamic input and output tensors.</span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160;<span class="comment"> * Create and manage the tensors needed to run a simple function. After the function is executed,</span></div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160;<span class="comment"> * change the input and output size requesting more memory and go through the manage/allocate process.</span></div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160;<span class="comment"> * The memory manager should be able to update the inner structures and allocate the requested memory</span></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160;<span class="comment"> * */</span></div><div class="line"><a name="l00076"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a54e446c8dfebf65ae0d1cba979ed03a4"> 76</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(DynamicTensorType3Single, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7a60565bc073f8bc7f03f8a766e850e6">CLDynamicTensorType3SingleFunction</a>, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::ALL,</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a96f9e78d0c2a93f0e3a876eeae4be4b0">zip</a>(framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;Level0Shape&quot;, { <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(12<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 11<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>), <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(256<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>, 12<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>) }),</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;Level1Shape&quot;</span>, { <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(67U, 31U, 15U), <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(11U, 2U, 3U) })))</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>(internal_l0.size() == internal_l1.size(), <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; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3c8562a1f05d23f44aed87545b7892cf">ARM_COMPUTE_EXPECT</a>(cross_l0.size() == cross_l1.size(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160;</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> internal_size = internal_l0.size();</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> cross_size = cross_l0.size();</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; <span class="keywordflow">if</span>(input_l0.total_size() &lt; input_l1.total_size())</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; {</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; internal_size; ++i)</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="namespacearm__compute_1_1test_1_1validation.xhtml#a3c8562a1f05d23f44aed87545b7892cf">ARM_COMPUTE_EXPECT</a>(internal_l0[i].size &lt; internal_l1[i].size, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; }</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; cross_size; ++i)</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#a3c8562a1f05d23f44aed87545b7892cf">ARM_COMPUTE_EXPECT</a>(cross_l0[i].size &lt; cross_l1[i].size, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</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; <span class="keywordflow">else</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; <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; internal_size; ++i)</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; {</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3c8562a1f05d23f44aed87545b7892cf">ARM_COMPUTE_EXPECT</a>(internal_l0[i].size == internal_l1[i].size, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; }</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; cross_size; ++i)</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; {</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#a3c8562a1f05d23f44aed87545b7892cf">ARM_COMPUTE_EXPECT</a>(cross_l0[i].size == cross_l1[i].size, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</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; }</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;</div><div class="line"><a name="l00109"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac6d288b0c139252e8495850957a580d5"> 109</a></span>&#160;<span class="keyword">using</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac6d288b0c139252e8495850957a580d5">CLDynamicTensorType3ComplexFunction</a> = DynamicTensorType3ComplexFunction&lt;CLTensor, CLAccessor, BlobMemoryManagementService, CLConvolutionLayer&gt;;<span class="comment"></span></div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160;<span class="comment">/** Tests the memory manager with dynamic input and output tensors.</span></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160;<span class="comment"> * Create and manage the tensors needed to run a complex function. After the function is executed,</span></div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160;<span class="comment"> * change the input and output size requesting more memory and go through the manage/allocate process.</span></div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160;<span class="comment"> * The memory manager should be able to update the inner structures and allocate the requested memory</span></div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160;<span class="comment"> * */</span></div><div class="line"><a name="l00116"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2c713f9d905e4dfe271075897a53886e"> 116</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(DynamicTensorType3Complex, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac6d288b0c139252e8495850957a580d5">CLDynamicTensorType3ComplexFunction</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>,</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#ae3e79edc200b1b7b53d3a1fc100952ab">framework::dataset::zip</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#ae3e79edc200b1b7b53d3a1fc100952ab">framework::dataset::zip</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#ae3e79edc200b1b7b53d3a1fc100952ab">framework::dataset::zip</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#ae3e79edc200b1b7b53d3a1fc100952ab">framework::dataset::zip</a>(</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;InputShape&quot;</span>, { std::vector&lt;TensorShape&gt;{ <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(12<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 12<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 16<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>), <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(64<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 64<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 16<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>) } }),</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;WeightsManager&quot;</span>, { <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(3U, 3U, 16U, 5U) })),</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;BiasShape&quot;</span>, { <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(5U) })),</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;OutputShape&quot;</span>, { std::vector&lt;TensorShape&gt;{ TensorShape(12U, 12U, 5U), TensorShape(64U, 64U, 5U) } })),</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;PadStrideInfo&quot;</span>, { PadStrideInfo(1U, 1U, 1U, 1U) })))</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160;{</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; num_iterations; ++i)</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; run_iteration(i);</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae02c6fc90d9c60c634bfa258049eb46b">validate</a>(CLAccessor(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1c74930b174776b4ef6f1abce3ba2a85">dst_target</a>), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4ec422f21ff26135c1d63dc00729cdbd">dst_ref</a>, <a class="code" href="cl__gemm_8cpp.xhtml#ae7f215e412cfa0dae5a983b0bf4071a1">tolerance_f32</a>, tolerance_num, absolute_tolerance_float);</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; }</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160;}</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"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5981d9e089bdef7404f8e56570bab554"> 131</a></span>&#160;<span class="keyword">using</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5981d9e089bdef7404f8e56570bab554">CLDynamicTensorType2PipelineFunction</a> = DynamicTensorType2PipelineFunction&lt;CLTensor, CLAccessor, BlobMemoryManagementService, CLConvolutionLayer&gt;;<span class="comment"></span></div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160;<span class="comment">/** Tests the memory manager with dynamic input and output tensors.</span></div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160;<span class="comment"> * Create and manage the tensors needed to run a pipeline. After the function is executed, resize the input size and rerun.</span></div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00136"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2c3bfb48d629e7438bbeeff2deadc658"> 136</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac95a886daa65a1813ffe9498074d2f39">FIXTURE_DATA_TEST_CASE</a>(DynamicTensorType2Pipeline, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5981d9e089bdef7404f8e56570bab554">CLDynamicTensorType2PipelineFunction</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>,</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;InputShape&quot;</span>, { std::vector&lt;TensorShape&gt;{ <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(12<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 12<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 6<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>), <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(128<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 128<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>, 6<a class="code" href="namespacearm__compute_1_1utils_1_1cast.xhtml#a2ea3d1fc01a3a442900249ca182ffa5e">U</a>) } }))</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160;{</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;</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// DynamicTensor</span></div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// UNIT</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#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a>() <span class="comment">// CL</span></div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160;} <span class="comment">// namespace validation</span></div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160;} <span class="comment">// namespace test</span></div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160;} <span class="comment">// namespace arm_compute</span></div><div class="ttc" id="_c_l_convolution_layer_8h_xhtml"><div class="ttname"><a href="_c_l_convolution_layer_8h.xhtml">CLConvolutionLayer.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="_toolchain_support_8h_xhtml"><div class="ttname"><a href="_toolchain_support_8h.xhtml">ToolchainSupport.h</a></div></div>
<div class="ttc" id="cl__gemm_8cpp_xhtml_ae7f215e412cfa0dae5a983b0bf4071a1"><div class="ttname"><a href="cl__gemm_8cpp.xhtml#ae7f215e412cfa0dae5a983b0bf4071a1">tolerance_f32</a></div><div class="ttdeci">RelativeTolerance&lt; float &gt; tolerance_f32(0.001f)</div><div class="ttdoc">F32 Tolerance value for comparing reference's output against implementation's output for floating poi...</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_memory_manager_on_demand_xhtml"><div class="ttname"><a href="classarm__compute_1_1_memory_manager_on_demand.xhtml">arm_compute::MemoryManagerOnDemand</a></div><div class="ttdoc">On-demand memory manager.</div><div class="ttdef"><b>Definition:</b> <a href="_memory_manager_on_demand_8h_source.xhtml#l00038">MemoryManagerOnDemand.h:38</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_a7a60565bc073f8bc7f03f8a766e850e6"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a7a60565bc073f8bc7f03f8a766e850e6">arm_compute::test::validation::CLDynamicTensorType3SingleFunction</a></div><div class="ttdeci">DynamicTensorType3SingleFunction&lt; CLTensor, CLAccessor, BlobMemoryManagementService, CLL2NormLayerWrapper &gt; CLDynamicTensorType3SingleFunction</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_u_n_i_t_2_dynamic_tensor_8cpp_source.xhtml#l00068">DynamicTensor.cpp:68</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ac6d288b0c139252e8495850957a580d5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ac6d288b0c139252e8495850957a580d5">arm_compute::test::validation::CLDynamicTensorType3ComplexFunction</a></div><div class="ttdeci">DynamicTensorType3ComplexFunction&lt; CLTensor, CLAccessor, BlobMemoryManagementService, CLConvolutionLayer &gt; CLDynamicTensorType3ComplexFunction</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_u_n_i_t_2_dynamic_tensor_8cpp_source.xhtml#l00109">DynamicTensor.cpp:109</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_a4ec422f21ff26135c1d63dc00729cdbd"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a4ec422f21ff26135c1d63dc00729cdbd">arm_compute::test::validation::dst_ref</a></div><div class="ttdeci">auto dst_ref</div><div class="ttdef"><b>Definition:</b> <a href="_c_p_p_2_d_f_t_8cpp_source.xhtml#l00172">DFT.cpp:172</a></div></div>
<div class="ttc" id="_c_l_l2_normalize_layer_8h_xhtml"><div class="ttname"><a href="_c_l_l2_normalize_layer_8h.xhtml">CLL2NormalizeLayer.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_pool_manager_xhtml"><div class="ttname"><a href="classarm__compute_1_1_pool_manager.xhtml">arm_compute::PoolManager</a></div><div class="ttdoc">Memory pool manager.</div><div class="ttdef"><b>Definition:</b> <a href="_pool_manager_8h_source.xhtml#l00041">PoolManager.h:41</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a1c74930b174776b4ef6f1abce3ba2a85"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a1c74930b174776b4ef6f1abce3ba2a85">arm_compute::test::validation::dst_target</a></div><div class="ttdeci">Tensor dst_target</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_im2_col_8cpp_source.xhtml#l00160">Im2Col.cpp:160</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a5981d9e089bdef7404f8e56570bab554"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a5981d9e089bdef7404f8e56570bab554">arm_compute::test::validation::CLDynamicTensorType2PipelineFunction</a></div><div class="ttdeci">DynamicTensorType2PipelineFunction&lt; CLTensor, CLAccessor, BlobMemoryManagementService, CLConvolutionLayer &gt; CLDynamicTensorType2PipelineFunction</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_u_n_i_t_2_dynamic_tensor_8cpp_source.xhtml#l00131">DynamicTensor.cpp:131</a></div></div>
<div class="ttc" id="_globals_8h_xhtml"><div class="ttname"><a href="_globals_8h.xhtml">Globals.h</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="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="_assets_library_8h_xhtml"><div class="ttname"><a href="_assets_library_8h.xhtml">AssetsLibrary.h</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_adbf67dcee294e673cf796f1ed8aeb6a4"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">arm_compute::test::validation::dst</a></div><div class="ttdeci">CLTensor dst</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_absolute_difference_8cpp_source.xhtml#l00102">AbsoluteDifference.cpp:102</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="_c_l_buffer_allocator_8h_xhtml"><div class="ttname"><a href="_c_l_buffer_allocator_8h.xhtml">CLBufferAllocator.h</a></div></div>
<div class="ttc" id="_memory_group_8h_xhtml"><div class="ttname"><a href="_memory_group_8h.xhtml">MemoryGroup.h</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a66564a16224c4e8ba8de706d4b1b75ea"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a66564a16224c4e8ba8de706d4b1b75ea">arm_compute::test::validation::BlobMemoryManagementService</a></div><div class="ttdeci">MemoryManagementService&lt; CLBufferAllocator, BlobLifetimeManager, PoolManager, MemoryManagerOnDemand &gt; BlobMemoryManagementService</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_u_n_i_t_2_dynamic_tensor_8cpp_source.xhtml#l00067">DynamicTensor.cpp:67</a></div></div>
<div class="ttc" id="_blob_lifetime_manager_8h_xhtml"><div class="ttname"><a href="_blob_lifetime_manager_8h.xhtml">BlobLifetimeManager.h</a></div></div>
<div class="ttc" id="_pool_manager_8h_xhtml"><div class="ttname"><a href="_pool_manager_8h.xhtml">PoolManager.h</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="tests_2_utils_8h_xhtml"><div class="ttname"><a href="tests_2_utils_8h.xhtml">Utils.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_blob_lifetime_manager_xhtml"><div class="ttname"><a href="classarm__compute_1_1_blob_lifetime_manager.xhtml">arm_compute::BlobLifetimeManager</a></div><div class="ttdoc">Concrete class that tracks the lifetime of registered tensors and calculates the systems memory requi...</div><div class="ttdef"><b>Definition:</b> <a href="_blob_lifetime_manager_8h_source.xhtml#l00041">BlobLifetimeManager.h:41</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_buffer_allocator_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_buffer_allocator.xhtml">arm_compute::CLBufferAllocator</a></div><div class="ttdoc">Default OpenCL cl buffer allocator implementation.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_buffer_allocator_8h_source.xhtml#l00035">CLBufferAllocator.h:35</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="_memory_manager_on_demand_8h_xhtml"><div class="ttname"><a href="_memory_manager_on_demand_8h.xhtml">MemoryManagerOnDemand.h</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="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_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="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_1framework_1_1dataset_xhtml_ae3e79edc200b1b7b53d3a1fc100952ab"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#ae3e79edc200b1b7b53d3a1fc100952ab">arm_compute::test::framework::dataset::zip</a></div><div class="ttdeci">ZipDataset&lt; T, U &gt; zip(T &amp;&amp;dataset1, U &amp;&amp;dataset2)</div><div class="ttdoc">Helper function to create a ZipDataset.</div><div class="ttdef"><b>Definition:</b> <a href="_zip_dataset_8h_source.xhtml#l00149">ZipDataset.h:149</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a989ab3e96426615bb98e04e0235088ca"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">arm_compute::test::validation::src</a></div><div class="ttdeci">cast configure &amp; src</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_cast_8cpp_source.xhtml#l00169">Cast.cpp:169</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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