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<div class="title">ClRuntimeTests.cpp</div> </div>
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<a href="_cl_runtime_tests_8cpp.html">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 © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;</div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_runtime_tests_8hpp.html">test/RuntimeTests.hpp</a>&gt;</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;</div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_leak_checking_8hpp.html">LeakChecking.hpp</a>&gt;</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;</div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_runtime_test_impl_8hpp.html">backendsCommon/test/RuntimeTestImpl.hpp</a>&gt;</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_profiling_test_utils_8hpp.html">test/ProfilingTestUtils.hpp</a>&gt;</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;</div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="preprocessor">#include &lt;boost/core/ignore_unused.hpp&gt;</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="preprocessor">#include &lt;boost/test/unit_test.hpp&gt;</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;</div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="preprocessor">#ifdef WITH_VALGRIND</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<span class="preprocessor">#include &lt;valgrind/memcheck.h&gt;</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;<span class="preprocessor">#endif</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;<a class="code" href="_output_shape_of_squeeze_8cpp.html#ae3a6cb217a792718f2bd0e8f45e3ca9e">BOOST_AUTO_TEST_SUITE</a>(ClRuntime)</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;</div><div class="line"><a name="l00022"></a><span class="lineno"><a class="line" href="_cl_runtime_tests_8cpp.html#a3f24de9be2ff1191339665c7e1614791"> 22</a></span>&#160;<a class="code" href="_cl_runtime_tests_8cpp.html#a3f24de9be2ff1191339665c7e1614791">BOOST_AUTO_TEST_CASE</a>(RuntimeValidateGpuDeviceSupportLayerNoFallback)</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;{</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160; <span class="comment">// build up the structure of the network</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; <a class="code" href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> net(<a class="code" href="classarmnn_1_1_i_network.html#a706f7345af3f18f4b16e226a672214c6">armnn::INetwork::Create</a>());</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* input = net-&gt;AddInputLayer(0);</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* output = net-&gt;AddOutputLayer(0);</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160;</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; input-&gt;<a class="code" href="classarmnn_1_1_i_connectable_layer.html#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.html#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(output-&gt;<a class="code" href="classarmnn_1_1_i_connectable_layer.html#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; input-&gt;<a class="code" href="classarmnn_1_1_i_connectable_layer.html#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.html#a5ee4a6c9a2481245487b1b1a70d20fd0">SetTensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>({ 1, 1, 4, 4 }, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; <a class="code" href="structarmnn_1_1_i_runtime_1_1_creation_options.html">armnn::IRuntime::CreationOptions</a> <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a6560146509197f3e197d8d36f76c1347">options</a>;</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; <a class="code" href="namespacearmnn.html#a150468a02bd7b2d2d061c4aaaee939f0">armnn::IRuntimePtr</a> runtime(<a class="code" href="classarmnn_1_1_i_runtime.html#ad44ecd3700748dc30dc4bbe34ba5bde7">armnn::IRuntime::Create</a>(options));</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; std::vector&lt;armnn::BackendId&gt; backends = { <a class="code" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::Compute::GpuAcc</a> };</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; <a class="code" href="namespacearmnn.html#a674efcf6cbdb9e831d653ff0e821fb38">armnn::IOptimizedNetworkPtr</a> optNet = <a class="code" href="namespacearmnn.html#a82e98ef05fd67036d1195ba17174d685">armnn::Optimize</a>(*net, backends, runtime-&gt;GetDeviceSpec());</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(optNet);</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160;</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; <span class="comment">// Load it into the runtime. It should success.</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; <a class="code" href="namespacearmnn.html#a83015160d8c67d5d77735eb0d4033d9a">armnn::NetworkId</a> netId;</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; BOOST_TEST(runtime-&gt;LoadNetwork(netId, std::move(optNet)) == <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">armnn::Status::Success</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;</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160;<span class="preprocessor">#ifdef ARMNN_LEAK_CHECKING_ENABLED</span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160;<a class="code" href="_cl_runtime_tests_8cpp.html#a3f24de9be2ff1191339665c7e1614791">BOOST_AUTO_TEST_CASE</a>(RuntimeMemoryLeaksGpuAcc)</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; BOOST_TEST(<a class="code" href="_leak_checking_8hpp.html#a5a5dabd7febb3bf4702e197cd460db31">ARMNN_LEAK_CHECKER_IS_ACTIVE</a>());</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; <a class="code" href="structarmnn_1_1_i_runtime_1_1_creation_options.html">armnn::IRuntime::CreationOptions</a> <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a6560146509197f3e197d8d36f76c1347">options</a>;</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; <a class="code" href="classarmnn_1_1_runtime.html">armnn::Runtime</a> runtime(options);</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; <a class="code" href="namespacearmnn.html#a01fa2d4db2c1b4ee5269a31e514f37ec">armnn::RuntimeLoadedNetworksReserve</a>(&amp;runtime);</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"> 53</span>&#160; std::vector&lt;armnn::BackendId&gt; backends = {<a class="code" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::Compute::GpuAcc</a>};</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="comment">// Do a warmup of this so we make sure that all one-time</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; <span class="comment">// initialization happens before we do the leak checking.</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; CreateAndDropDummyNetwork(backends, runtime);</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; }</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; {</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; <a class="code" href="_leak_checking_8hpp.html#a36be82c2b683b814469300800e05a20c">ARMNN_SCOPED_LEAK_CHECKER</a>(<span class="stringliteral">&quot;LoadAndUnloadNetworkGpuAcc&quot;</span>);</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; BOOST_TEST(<a class="code" href="_leak_checking_8hpp.html#adaae3648a8a125ec0ffe5e9aefd2a17e">ARMNN_NO_LEAKS_IN_SCOPE</a>());</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; <span class="comment">// In the second run we check for all remaining memory</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; <span class="comment">// in use after the network was unloaded. If there is any</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; <span class="comment">// then it will be treated as a memory leak.</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; CreateAndDropDummyNetwork(backends, runtime);</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; BOOST_TEST(<a class="code" href="_leak_checking_8hpp.html#adaae3648a8a125ec0ffe5e9aefd2a17e">ARMNN_NO_LEAKS_IN_SCOPE</a>());</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; BOOST_TEST(<a class="code" href="_leak_checking_8hpp.html#a469b092b942872fb939dbf2684d7e8e5">ARMNN_BYTES_LEAKED_IN_SCOPE</a>() == 0);</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; BOOST_TEST(<a class="code" href="_leak_checking_8hpp.html#ad47a18b9752f3dad8d4b15351913211c">ARMNN_OBJECTS_LEAKED_IN_SCOPE</a>() == 0);</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; }</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160;}</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160;<span class="preprocessor">#endif</span></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;<span class="comment">// Note: this part of the code is due to be removed when we fully trust the gperftools based results.</span></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160;<span class="preprocessor">#if defined(WITH_VALGRIND)</span></div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160;<a class="code" href="_cl_runtime_tests_8cpp.html#a3f24de9be2ff1191339665c7e1614791">BOOST_AUTO_TEST_CASE</a>(RuntimeMemoryUsage)</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; <span class="comment">// From documentation:</span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160;</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; <span class="comment">// This means that no pointer to the block can be found. The block is classified as &quot;lost&quot;,</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; <span class="comment">// because the programmer could not possibly have freed it at program exit, since no pointer to it exists.</span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">long</span> leakedBefore = 0;</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">long</span> leakedAfter = 0;</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160;</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; <span class="comment">// A start-pointer or chain of start-pointers to the block is found. Since the block is still pointed at,</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; <span class="comment">// the programmer could, at least in principle, have freed it before program exit.</span></div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; <span class="comment">// We want to test this in case memory is not freed as early as it could have been.</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">long</span> reachableBefore = 0;</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">long</span> reachableAfter = 0;</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="comment">// Needed as out params but we don&#39;t test them.</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">long</span> dubious = 0;</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">long</span> suppressed = 0;</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; <span class="comment">// Ensure that runtime is large enough before checking for memory leaks.</span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; <span class="comment">// Otherwise, when loading the network, it will automatically reserve memory that won&#39;t be released</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; <span class="comment">// until destruction.</span></div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; <a class="code" href="namespacearmnn.html#a83015160d8c67d5d77735eb0d4033d9a">armnn::NetworkId</a> networkIdentifier;</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; <a class="code" href="structarmnn_1_1_i_runtime_1_1_creation_options.html">armnn::IRuntime::CreationOptions</a> <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a6560146509197f3e197d8d36f76c1347">options</a>;</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; <a class="code" href="classarmnn_1_1_runtime.html">armnn::Runtime</a> runtime(options);</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; <a class="code" href="namespacearmnn.html#a01fa2d4db2c1b4ee5269a31e514f37ec">armnn::RuntimeLoadedNetworksReserve</a>(&amp;runtime);</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160;</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; <span class="comment">// Checks for leaks before we load the network and record them so that we can see the delta after unloading.</span></div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; VALGRIND_DO_QUICK_LEAK_CHECK;</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; VALGRIND_COUNT_LEAKS(leakedBefore, dubious, reachableBefore, suppressed);</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; <span class="comment">// build a mock-network and load it into the runtime</span></div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; std::vector&lt;armnn::BackendId&gt; backends = {<a class="code" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::Compute::GpuAcc</a>};</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="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputTensorInfo(<a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>({ 7, 7 }), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputTensorInfo(<a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>({ 7, 7 }), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</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="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> mockNetwork(<a class="code" href="classarmnn_1_1_i_network.html#a706f7345af3f18f4b16e226a672214c6">armnn::INetwork::Create</a>());</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160;</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* input = mockNetwork-&gt;AddInputLayer(0, <span class="stringliteral">&quot;input&quot;</span>);</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer = mockNetwork-&gt;AddActivationLayer(<a class="code" href="structarmnn_1_1_activation_descriptor.html">armnn::ActivationDescriptor</a>(), <span class="stringliteral">&quot;test&quot;</span>);</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* output = mockNetwork-&gt;AddOutputLayer(0, <span class="stringliteral">&quot;output&quot;</span>);</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160;</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; input-&gt;<a class="code" href="classarmnn_1_1_i_connectable_layer.html#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.html#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(layer-&gt;<a class="code" href="classarmnn_1_1_i_connectable_layer.html#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; layer-&gt;<a class="code" href="classarmnn_1_1_i_connectable_layer.html#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.html#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(output-&gt;<a class="code" href="classarmnn_1_1_i_connectable_layer.html#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</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; <span class="comment">// Sets the tensors in the network.</span></div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; input-&gt;<a class="code" href="classarmnn_1_1_i_connectable_layer.html#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.html#a5ee4a6c9a2481245487b1b1a70d20fd0">SetTensorInfo</a>(inputTensorInfo);</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; layer-&gt;<a class="code" href="classarmnn_1_1_i_connectable_layer.html#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.html#a5ee4a6c9a2481245487b1b1a70d20fd0">SetTensorInfo</a>(outputTensorInfo);</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; <span class="comment">// optimize the network</span></div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; <a class="code" href="namespacearmnn.html#a674efcf6cbdb9e831d653ff0e821fb38">armnn::IOptimizedNetworkPtr</a> optNet = <a class="code" href="namespacearmnn.html#a82e98ef05fd67036d1195ba17174d685">Optimize</a>(*mockNetwork, backends, runtime.<a class="code" href="classarmnn_1_1_runtime.html#a25505c77f282c0295765d81c86514539">GetDeviceSpec</a>());</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; runtime.<a class="code" href="classarmnn_1_1_runtime.html#ae225e29e38b44860a32d766053a383dc">LoadNetwork</a>(networkIdentifier, std::move(optNet));</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; }</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160;</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; runtime.<a class="code" href="classarmnn_1_1_runtime.html#ae54a3b358f009aec340d443d038805a4">UnloadNetwork</a>(networkIdentifier);</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160;</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; VALGRIND_DO_ADDED_LEAK_CHECK;</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; VALGRIND_COUNT_LEAKS(leakedAfter, dubious, reachableAfter, suppressed);</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160;</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; <span class="comment">// If we&#39;re not running under Valgrind, these vars will have been initialised to 0, so this will always pass.</span></div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; BOOST_TEST(leakedBefore == leakedAfter);</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; <span class="comment">// Add resonable threshold after and before running valgrind with the ACL clear cache function.</span></div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; <span class="comment">// TODO Threshold set to 80k until the root cause of the memory leakage is found and fixed. Revert threshold</span></div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; <span class="comment">// value to 1024 when fixed.</span></div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; BOOST_TEST(static_cast&lt;long&gt;(reachableAfter) - static_cast&lt;long&gt;(reachableBefore) &lt; 81920);</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160;</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; <span class="comment">// These are needed because VALGRIND_COUNT_LEAKS is a macro that assigns to the parameters</span></div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; <span class="comment">// so they are assigned to, but still considered unused, causing a warning.</span></div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; boost::ignore_unused(dubious);</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; boost::ignore_unused(suppressed);</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160;}</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160;<span class="preprocessor">#endif</span></div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160;</div><div class="line"><a name="l00152"></a><span class="lineno"><a class="line" href="_cl_runtime_tests_8cpp.html#aaf851dc3a26a4bbd3b9cd28170d57759"> 152</a></span>&#160;<a class="code" href="_cl_runtime_tests_8cpp.html#a3f24de9be2ff1191339665c7e1614791">BOOST_AUTO_TEST_CASE</a>(ProfilingPostOptimisationStructureGpuAcc)</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160;{</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; <a class="code" href="_profiling_test_utils_8cpp.html#a63249ab17e3797a6c5e3c187a17dbce4">VerifyPostOptimisationStructureTestImpl</a>(<a class="code" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::Compute::GpuAcc</a>);</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160;}</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160;</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160;<a class="code" href="_profiler_tests_8cpp.html#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END</a>()</div><div class="ttc" id="classarmnn_1_1_i_connectable_layer_html_a6ec9e0eb66d7d6a01240492a0b18104c"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.html#a6ec9e0eb66d7d6a01240492a0b18104c">armnn::IConnectableLayer::GetInputSlot</a></div><div class="ttdeci">virtual const IInputSlot &amp; GetInputSlot(unsigned int index) const =0</div></div>
<div class="ttc" id="namespacearmnn_html_a82e98ef05fd67036d1195ba17174d685"><div class="ttname"><a href="namespacearmnn.html#a82e98ef05fd67036d1195ba17174d685">armnn::Optimize</a></div><div class="ttdeci">IOptimizedNetworkPtr Optimize(const INetwork &amp;network, const std::vector&lt; BackendId &gt; &amp;backendPreferences, const IDeviceSpec &amp;deviceSpec, const OptimizerOptions &amp;options=OptimizerOptions(), Optional&lt; std::vector&lt; std::string &gt; &amp;&gt; messages=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00807">Network.cpp:807</a></div></div>
<div class="ttc" id="classarmnn_1_1_runtime_html_ae54a3b358f009aec340d443d038805a4"><div class="ttname"><a href="classarmnn_1_1_runtime.html#ae54a3b358f009aec340d443d038805a4">armnn::Runtime::UnloadNetwork</a></div><div class="ttdeci">virtual Status UnloadNetwork(NetworkId networkId) override</div><div class="ttdef"><b>Definition:</b> <a href="_runtime_8cpp_source.html#l00105">Runtime.cpp:105</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00053">Tensor.hpp:53</a></div></div>
<div class="ttc" id="classarmnn_1_1_runtime_html_a25505c77f282c0295765d81c86514539"><div class="ttname"><a href="classarmnn_1_1_runtime.html#a25505c77f282c0295765d81c86514539">armnn::Runtime::GetDeviceSpec</a></div><div class="ttdeci">virtual const IDeviceSpec &amp; GetDeviceSpec() const override</div><div class="ttdef"><b>Definition:</b> <a href="_runtime_8hpp_source.html#l00063">Runtime.hpp:63</a></div></div>
<div class="ttc" id="_leak_checking_8hpp_html_a5a5dabd7febb3bf4702e197cd460db31"><div class="ttname"><a href="_leak_checking_8hpp.html#a5a5dabd7febb3bf4702e197cd460db31">ARMNN_LEAK_CHECKER_IS_ACTIVE</a></div><div class="ttdeci">#define ARMNN_LEAK_CHECKER_IS_ACTIVE()</div><div class="ttdef"><b>Definition:</b> <a href="_leak_checking_8hpp_source.html#l00089">LeakChecking.hpp:89</a></div></div>
<div class="ttc" id="structarmnn_1_1_activation_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.html">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00020">Descriptors.hpp:20</a></div></div>
<div class="ttc" id="_leak_checking_8hpp_html_ad47a18b9752f3dad8d4b15351913211c"><div class="ttname"><a href="_leak_checking_8hpp.html#ad47a18b9752f3dad8d4b15351913211c">ARMNN_OBJECTS_LEAKED_IN_SCOPE</a></div><div class="ttdeci">#define ARMNN_OBJECTS_LEAKED_IN_SCOPE()</div><div class="ttdef"><b>Definition:</b> <a href="_leak_checking_8hpp_source.html#l00092">LeakChecking.hpp:92</a></div></div>
<div class="ttc" id="namespacearmnn_html_a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38"><div class="ttname"><a href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">armnn::Status::Success</a></div></div>
<div class="ttc" id="_leak_checking_8hpp_html_adaae3648a8a125ec0ffe5e9aefd2a17e"><div class="ttname"><a href="_leak_checking_8hpp.html#adaae3648a8a125ec0ffe5e9aefd2a17e">ARMNN_NO_LEAKS_IN_SCOPE</a></div><div class="ttdeci">#define ARMNN_NO_LEAKS_IN_SCOPE()</div><div class="ttdef"><b>Definition:</b> <a href="_leak_checking_8hpp_source.html#l00090">LeakChecking.hpp:90</a></div></div>
<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_output_slot_html_a5ee4a6c9a2481245487b1b1a70d20fd0"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.html#a5ee4a6c9a2481245487b1b1a70d20fd0">armnn::IOutputSlot::SetTensorInfo</a></div><div class="ttdeci">virtual void SetTensorInfo(const TensorInfo &amp;tensorInfo)=0</div></div>
<div class="ttc" id="_cl_runtime_tests_8cpp_html_a3f24de9be2ff1191339665c7e1614791"><div class="ttname"><a href="_cl_runtime_tests_8cpp.html#a3f24de9be2ff1191339665c7e1614791">BOOST_AUTO_TEST_CASE</a></div><div class="ttdeci">BOOST_AUTO_TEST_CASE(RuntimeValidateGpuDeviceSupportLayerNoFallback)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_runtime_tests_8cpp_source.html#l00022">ClRuntimeTests.cpp:22</a></div></div>
<div class="ttc" id="_profiling_test_utils_8hpp_html"><div class="ttname"><a href="_profiling_test_utils_8hpp.html">ProfilingTestUtils.hpp</a></div></div>
<div class="ttc" id="_profiling_test_utils_8cpp_html_a63249ab17e3797a6c5e3c187a17dbce4"><div class="ttname"><a href="_profiling_test_utils_8cpp.html#a63249ab17e3797a6c5e3c187a17dbce4">VerifyPostOptimisationStructureTestImpl</a></div><div class="ttdeci">void VerifyPostOptimisationStructureTestImpl(armnn::BackendId backendId)</div><div class="ttdef"><b>Definition:</b> <a href="_profiling_test_utils_8cpp_source.html#l00355">ProfilingTestUtils.cpp:355</a></div></div>
<div class="ttc" id="_runtime_test_impl_8hpp_html"><div class="ttname"><a href="_runtime_test_impl_8hpp.html">RuntimeTestImpl.hpp</a></div></div>
<div class="ttc" id="_leak_checking_8hpp_html_a469b092b942872fb939dbf2684d7e8e5"><div class="ttname"><a href="_leak_checking_8hpp.html#a469b092b942872fb939dbf2684d7e8e5">ARMNN_BYTES_LEAKED_IN_SCOPE</a></div><div class="ttdeci">#define ARMNN_BYTES_LEAKED_IN_SCOPE()</div><div class="ttdef"><b>Definition:</b> <a href="_leak_checking_8hpp_source.html#l00091">LeakChecking.hpp:91</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_network_html_a706f7345af3f18f4b16e226a672214c6"><div class="ttname"><a href="classarmnn_1_1_i_network.html#a706f7345af3f18f4b16e226a672214c6">armnn::INetwork::Create</a></div><div class="ttdeci">static INetworkPtr Create()</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00048">Network.cpp:48</a></div></div>
<div class="ttc" id="_file_only_profiling_decorator_tests_8cpp_html_a0c262ba6f6c189a2d092d127c1b7627b"><div class="ttname"><a href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a></div><div class="ttdeci">BOOST_CHECK(profilingService.GetCurrentState()==ProfilingState::WaitingForAck)</div></div>
<div class="ttc" id="namespacearmnn_html_ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b"><div class="ttname"><a href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::Compute::GpuAcc</a></div><div class="ttdoc">GPU Execution: OpenCL: ArmCompute. </div></div>
<div class="ttc" id="namespacearmnn_html_ace74f6f9feb95a964a49d79458232703"><div class="ttname"><a href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a></div><div class="ttdeci">std::unique_ptr&lt; INetwork, void(*)(INetwork *network)&gt; INetworkPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00085">INetwork.hpp:85</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_runtime_html_ad44ecd3700748dc30dc4bbe34ba5bde7"><div class="ttname"><a href="classarmnn_1_1_i_runtime.html#ad44ecd3700748dc30dc4bbe34ba5bde7">armnn::IRuntime::Create</a></div><div class="ttdeci">static IRuntimePtr Create(const CreationOptions &amp;options)</div><div class="ttdef"><b>Definition:</b> <a href="_runtime_8cpp_source.html#l00032">Runtime.cpp:32</a></div></div>
<div class="ttc" id="_profiler_tests_8cpp_html_af7f71af5c6c124222dd1c42c5df892f4"><div class="ttname"><a href="_profiler_tests_8cpp.html#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END</a></div><div class="ttdeci">BOOST_AUTO_TEST_SUITE_END()</div></div>
<div class="ttc" id="namespacearmnn_html_a01fa2d4db2c1b4ee5269a31e514f37ec"><div class="ttname"><a href="namespacearmnn.html#a01fa2d4db2c1b4ee5269a31e514f37ec">armnn::RuntimeLoadedNetworksReserve</a></div><div class="ttdeci">void RuntimeLoadedNetworksReserve(armnn::Runtime *runtime)</div><div class="ttdef"><b>Definition:</b> <a href="_runtime_tests_8cpp_source.html#l00028">RuntimeTests.cpp:28</a></div></div>
<div class="ttc" id="_leak_checking_8hpp_html_a36be82c2b683b814469300800e05a20c"><div class="ttname"><a href="_leak_checking_8hpp.html#a36be82c2b683b814469300800e05a20c">ARMNN_SCOPED_LEAK_CHECKER</a></div><div class="ttdeci">#define ARMNN_SCOPED_LEAK_CHECKER(TAG)</div><div class="ttdef"><b>Definition:</b> <a href="_leak_checking_8hpp_source.html#l00088">LeakChecking.hpp:88</a></div></div>
<div class="ttc" id="classarmnn_1_1_runtime_html"><div class="ttname"><a href="classarmnn_1_1_runtime.html">armnn::Runtime</a></div><div class="ttdef"><b>Definition:</b> <a href="_runtime_8hpp_source.html#l00023">Runtime.hpp:23</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_connectable_layer_html"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a></div><div class="ttdoc">Interface for a layer that is connectable to other layers via InputSlots and OutputSlots. </div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00061">INetwork.hpp:61</a></div></div>
<div class="ttc" id="_output_shape_of_squeeze_8cpp_html_ae3a6cb217a792718f2bd0e8f45e3ca9e"><div class="ttname"><a href="_output_shape_of_squeeze_8cpp.html#ae3a6cb217a792718f2bd0e8f45e3ca9e">BOOST_AUTO_TEST_SUITE</a></div><div class="ttdeci">BOOST_AUTO_TEST_SUITE(TensorflowLiteParser)</div></div>
<div class="ttc" id="namespacearmnn_html_a674efcf6cbdb9e831d653ff0e821fb38"><div class="ttname"><a href="namespacearmnn.html#a674efcf6cbdb9e831d653ff0e821fb38">armnn::IOptimizedNetworkPtr</a></div><div class="ttdeci">std::unique_ptr&lt; IOptimizedNetwork, void(*)(IOptimizedNetwork *network)&gt; IOptimizedNetworkPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00544">INetwork.hpp:544</a></div></div>
<div class="ttc" id="_runtime_tests_8hpp_html"><div class="ttname"><a href="_runtime_tests_8hpp.html">RuntimeTests.hpp</a></div></div>
<div class="ttc" id="structarmnn_1_1_i_runtime_1_1_creation_options_html"><div class="ttname"><a href="structarmnn_1_1_i_runtime_1_1_creation_options.html">armnn::IRuntime::CreationOptions</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.html#l00041">IRuntime.hpp:41</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_output_slot_html_ac1835f8756a9f03c02fcf9664e3a0fce"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.html#ac1835f8756a9f03c02fcf9664e3a0fce">armnn::IOutputSlot::Connect</a></div><div class="ttdeci">virtual int Connect(IInputSlot &amp;destination)=0</div></div>
<div class="ttc" id="_file_only_profiling_decorator_tests_8cpp_html_a6560146509197f3e197d8d36f76c1347"><div class="ttname"><a href="_file_only_profiling_decorator_tests_8cpp.html#a6560146509197f3e197d8d36f76c1347">options</a></div><div class="ttdeci">armnn::Runtime::CreationOptions::ExternalProfilingOptions options</div><div class="ttdef"><b>Definition:</b> <a href="_file_only_profiling_decorator_tests_8cpp_source.html#l00045">FileOnlyProfilingDecoratorTests.cpp:45</a></div></div>
<div class="ttc" id="namespacearmnn_html_a83015160d8c67d5d77735eb0d4033d9a"><div class="ttname"><a href="namespacearmnn.html#a83015160d8c67d5d77735eb0d4033d9a">armnn::NetworkId</a></div><div class="ttdeci">int NetworkId</div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.html#l00019">IRuntime.hpp:19</a></div></div>
<div class="ttc" id="namespacearmnn_html_a150468a02bd7b2d2d061c4aaaee939f0"><div class="ttname"><a href="namespacearmnn.html#a150468a02bd7b2d2d061c4aaaee939f0">armnn::IRuntimePtr</a></div><div class="ttdeci">std::unique_ptr&lt; IRuntime, void(*)(IRuntime *runtime)&gt; IRuntimePtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.html#l00024">IRuntime.hpp:24</a></div></div>
<div class="ttc" id="classarmnn_1_1_runtime_html_ae225e29e38b44860a32d766053a383dc"><div class="ttname"><a href="classarmnn_1_1_runtime.html#ae225e29e38b44860a32d766053a383dc">armnn::Runtime::LoadNetwork</a></div><div class="ttdeci">virtual Status LoadNetwork(NetworkId &amp;networkIdOut, IOptimizedNetworkPtr network) override</div><div class="ttdef"><b>Definition:</b> <a href="_runtime_8cpp_source.html#l00047">Runtime.cpp:47</a></div></div>
<div class="ttc" id="_leak_checking_8hpp_html"><div class="ttname"><a href="_leak_checking_8hpp.html">LeakChecking.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_connectable_layer_html_a80ac4eda2e7f2757ec9dd96fc96dbd16"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.html#a80ac4eda2e7f2757ec9dd96fc96dbd16">armnn::IConnectableLayer::GetOutputSlot</a></div><div class="ttdeci">virtual const IOutputSlot &amp; GetOutputSlot(unsigned int index) const =0</div></div>
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