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| <div class="textblock"><code>#include "<a class="el" href="_i_tf_parser_8hpp_source.html">armnnTfParser/ITfParser.hpp</a>"</code><br /> |
| <code>#include "<a class="el" href="_parser_prototxt_fixture_8hpp_source.html">ParserPrototxtFixture.hpp</a>"</code><br /> |
| <code>#include "<a class="el" href="_graph_utils_8hpp_source.html">test/GraphUtils.hpp</a>"</code><br /> |
| <code>#include <boost/test/unit_test.hpp></code><br /> |
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| <tr class="memitem:aca9c806a9c2cf6fa453c4110ecb79af9"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="_assert_8cpp.html#aca9c806a9c2cf6fa453c4110ecb79af9">BOOST_FIXTURE_TEST_CASE</a> (AssertSimpleTest, AssertSimpleFixture)</td></tr> |
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| <h2 class="memtitle"><span class="permalink"><a href="#aca9c806a9c2cf6fa453c4110ecb79af9">◆ </a></span>BOOST_FIXTURE_TEST_CASE() <span class="overload">[1/4]</span></h2> |
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| <td class="paramtype">AssertSimpleTest </td> |
| <td class="paramname">, </td> |
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| <td class="paramkey"></td> |
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| <td class="paramtype">AssertSimpleFixture </td> |
| <td class="paramname"> </td> |
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| <p class="definition">Definition at line <a class="el" href="_assert_8cpp_source.html#l00093">93</a> of file <a class="el" href="_assert_8cpp_source.html">Assert.cpp</a>.</p> |
| |
| <p class="reference">References <a class="el" href="_parser_prototxt_fixture_8hpp_source.html#l00086">ParserPrototxtFixture< TParser >::SetupSingleInputSingleOutput()</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> {</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  SetupSingleInputSingleOutput({ 1, 1, 1, 4 }, <span class="stringliteral">"Placeholder"</span>, <span class="stringliteral">"Add"</span>);</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  RunTest<4>({ 1.0f, 2.0f, 3.0f, 4.0f }, { 2.0f, 4.0f, 6.0f, 8.0f });</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> }</div></div><!-- fragment --> |
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| <h2 class="memtitle"><span class="permalink"><a href="#ac27dc1cabf754208dae88e0879dd6515">◆ </a></span>BOOST_FIXTURE_TEST_CASE() <span class="overload">[2/4]</span></h2> |
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| <td class="paramtype">AssertSimpleGraphStructureTest </td> |
| <td class="paramname">, </td> |
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| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">AssertSimpleFixture </td> |
| <td class="paramname"> </td> |
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| <p class="definition">Definition at line <a class="el" href="_assert_8cpp_source.html#l00099">99</a> of file <a class="el" href="_assert_8cpp_source.html">Assert.cpp</a>.</p> |
| |
| <p class="reference">References <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">armnn::Addition</a>, <a class="el" href="_graph_utils_8cpp_source.html#l00032">CheckNumberOfInputSlot()</a>, <a class="el" href="_graph_utils_8cpp_source.html#l00037">CheckNumberOfOutputSlot()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_graph_utils_8cpp_source.html#l00020">GetFirstLayerWithName()</a>, <a class="el" href="_layer_8hpp_source.html#l00259">Layer::GetType()</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::Input</a>, <a class="el" href="_graph_utils_8cpp_source.html#l00042">IsConnected()</a>, and <a class="el" href="_parser_prototxt_fixture_8hpp_source.html#l00158">ParserPrototxtFixture< TParser >::SetupOptimizedNetwork()</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> {</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keyword">auto</span> optimized = SetupOptimizedNetwork({ { <span class="stringliteral">"Placeholder"</span>, { 1, 1, 1, 4 } } }, { <span class="stringliteral">"Add"</span> });</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> </div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keyword">auto</span> optimizedNetwork = boost::polymorphic_downcast<armnn::OptimizedNetwork*>(optimized.get());</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keyword">auto</span> graph = optimizedNetwork->GetGraph();</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> </div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  BOOST_TEST((graph.GetNumInputs() == 1));</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  BOOST_TEST((graph.GetNumOutputs() == 1));</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  BOOST_TEST((graph.GetNumLayers() == 3));</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> </div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <a class="code" href="classarmnn_1_1_layer.html">armnn::Layer</a>* inputLayer = <a class="code" href="_graph_utils_8cpp.html#a5f17e02e0054dac0a691685a0464ed36">GetFirstLayerWithName</a>(graph, <span class="stringliteral">"Placeholder"</span>);</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  BOOST_TEST((inputLayer-><a class="code" href="classarmnn_1_1_layer.html#aaef29472862381822654ab6cbf7cba2a">GetType</a>() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::LayerType::Input</a>));</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  BOOST_TEST(<a class="code" href="_graph_utils_8cpp.html#a4c04337db4d5f380219a005657a8223b">CheckNumberOfInputSlot</a>(inputLayer, 0));</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  BOOST_TEST(<a class="code" href="_graph_utils_8cpp.html#aada2e27f100807f5786eecb03390ba58">CheckNumberOfOutputSlot</a>(inputLayer, 1));</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> </div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <a class="code" href="classarmnn_1_1_layer.html">armnn::Layer</a>* addLayer = <a class="code" href="_graph_utils_8cpp.html#a5f17e02e0054dac0a691685a0464ed36">GetFirstLayerWithName</a>(graph, <span class="stringliteral">"Add"</span>);</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  BOOST_TEST((addLayer-><a class="code" href="classarmnn_1_1_layer.html#aaef29472862381822654ab6cbf7cba2a">GetType</a>() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">armnn::LayerType::Addition</a>));</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  BOOST_TEST(<a class="code" href="_graph_utils_8cpp.html#a4c04337db4d5f380219a005657a8223b">CheckNumberOfInputSlot</a>(addLayer, 2));</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  BOOST_TEST(<a class="code" href="_graph_utils_8cpp.html#aada2e27f100807f5786eecb03390ba58">CheckNumberOfOutputSlot</a>(addLayer, 1));</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> </div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> tensorInfo(<a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>({1, 1, 1, 4}), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  BOOST_TEST(<a class="code" href="_graph_utils_8cpp.html#afd518dba3d52728670459e4ad3bed5e1">IsConnected</a>(inputLayer, addLayer, 0, 0, tensorInfo));</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  BOOST_TEST(<a class="code" href="_graph_utils_8cpp.html#afd518dba3d52728670459e4ad3bed5e1">IsConnected</a>(inputLayer, addLayer, 0, 1, tensorInfo));</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> </div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& outputLayer : graph.GetOutputLayers())</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  {</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  BOOST_TEST(<a class="code" href="_graph_utils_8cpp.html#afd518dba3d52728670459e4ad3bed5e1">IsConnected</a>(addLayer, const_cast<armnn::OutputLayer*>(outputLayer), 0, 0, tensorInfo));</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  }</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> }</div><div class="ttc" id="namespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">armnn::LayerType::Addition</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_layer_html_aaef29472862381822654ab6cbf7cba2a"><div class="ttname"><a href="classarmnn_1_1_layer.html#aaef29472862381822654ab6cbf7cba2a">armnn::Layer::GetType</a></div><div class="ttdeci">LayerType GetType() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00259">Layer.hpp:259</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_layer_html"><div class="ttname"><a href="classarmnn_1_1_layer.html">armnn::Layer</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00209">Layer.hpp:209</a></div></div> |
| <div class="ttc" id="_graph_utils_8cpp_html_a4c04337db4d5f380219a005657a8223b"><div class="ttname"><a href="_graph_utils_8cpp.html#a4c04337db4d5f380219a005657a8223b">CheckNumberOfInputSlot</a></div><div class="ttdeci">bool CheckNumberOfInputSlot(armnn::Layer *layer, unsigned int num)</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8cpp_source.html#l00032">GraphUtils.cpp:32</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="_graph_utils_8cpp_html_afd518dba3d52728670459e4ad3bed5e1"><div class="ttname"><a href="_graph_utils_8cpp.html#afd518dba3d52728670459e4ad3bed5e1">IsConnected</a></div><div class="ttdeci">bool IsConnected(armnn::Layer *srcLayer, armnn::Layer *destLayer, unsigned int srcSlot, unsigned int destSlot, const armnn::TensorInfo &expectedTensorInfo)</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8cpp_source.html#l00042">GraphUtils.cpp:42</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_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="_graph_utils_8cpp_html_a5f17e02e0054dac0a691685a0464ed36"><div class="ttname"><a href="_graph_utils_8cpp.html#a5f17e02e0054dac0a691685a0464ed36">GetFirstLayerWithName</a></div><div class="ttdeci">armnn::Layer * GetFirstLayerWithName(armnn::Graph &graph, const std::string &name)</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8cpp_source.html#l00020">GraphUtils.cpp:20</a></div></div> |
| <div class="ttc" id="_graph_utils_8cpp_html_aada2e27f100807f5786eecb03390ba58"><div class="ttname"><a href="_graph_utils_8cpp.html#aada2e27f100807f5786eecb03390ba58">CheckNumberOfOutputSlot</a></div><div class="ttdeci">bool CheckNumberOfOutputSlot(armnn::Layer *layer, unsigned int num)</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8cpp_source.html#l00037">GraphUtils.cpp:37</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::LayerType::Input</a></div></div> |
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| <h2 class="memtitle"><span class="permalink"><a href="#a79cb077a071f8d5232e2e902d562becd">◆ </a></span>BOOST_FIXTURE_TEST_CASE() <span class="overload">[3/4]</span></h2> |
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| <p class="definition">Definition at line <a class="el" href="_assert_8cpp_source.html#l00237">237</a> of file <a class="el" href="_assert_8cpp_source.html">Assert.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00238"></a><span class="lineno"> 238</span> {</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  Setup({ { <span class="stringliteral">"Input0"</span>, { 1, 1, 2, 2 } },</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  { <span class="stringliteral">"Input1"</span>, { 1, 1, 2, 2 } } },</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  { <span class="stringliteral">"Output"</span> });</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span> </div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  RunTest<4>({ { <span class="stringliteral">"Input0"</span>, { 4.0f, 3.0f,</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  2.0f, 1.0f } },</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span> </div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  { <span class="stringliteral">"Input1"</span>, { 1.0f, 2.0f,</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  3.0f, 4.0f } } },</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span> </div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  { { <span class="stringliteral">"Output"</span>, { 7.0f, 4.0f,</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  1.0f, -2.0f } } });</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span> }</div></div><!-- fragment --> |
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| <a id="a1645128a338ac44257fe852d11ea968b"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a1645128a338ac44257fe852d11ea968b">◆ </a></span>BOOST_FIXTURE_TEST_CASE() <span class="overload">[4/4]</span></h2> |
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| <td class="memname">BOOST_FIXTURE_TEST_CASE </td> |
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| <td class="paramtype">AssertGraphStructureTest </td> |
| <td class="paramname">, </td> |
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| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">AssertFixture </td> |
| <td class="paramname"> </td> |
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| <td>)</td> |
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| <p class="definition">Definition at line <a class="el" href="_assert_8cpp_source.html#l00253">253</a> of file <a class="el" href="_assert_8cpp_source.html">Assert.cpp</a>.</p> |
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| <p class="reference">References <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">armnn::Addition</a>, <a class="el" href="_profiler_tests_8cpp.html#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END()</a>, <a class="el" href="_graph_utils_8cpp_source.html#l00032">CheckNumberOfInputSlot()</a>, <a class="el" href="_graph_utils_8cpp_source.html#l00037">CheckNumberOfOutputSlot()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_graph_utils_8cpp_source.html#l00020">GetFirstLayerWithName()</a>, <a class="el" href="_layer_8hpp_source.html#l00259">Layer::GetType()</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::Input</a>, <a class="el" href="_graph_utils_8cpp_source.html#l00042">IsConnected()</a>, and <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">armnn::Subtraction</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00254"></a><span class="lineno"> 254</span> {</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <span class="keyword">auto</span> optimized = SetupOptimizedNetwork({ { <span class="stringliteral">"Input0"</span>, { 1, 1, 2, 2 } },</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  { <span class="stringliteral">"Input1"</span>, { 1, 1, 2, 2 } } },</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  { <span class="stringliteral">"Output"</span> });</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span> </div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <span class="keyword">auto</span> optimizedNetwork = boost::polymorphic_downcast<armnn::OptimizedNetwork*>(optimized.get());</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <span class="keyword">auto</span> graph = optimizedNetwork->GetGraph();</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span> </div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  BOOST_TEST((graph.GetNumInputs() == 2));</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  BOOST_TEST((graph.GetNumOutputs() == 1));</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  BOOST_TEST((graph.GetNumLayers() == 5));</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span> </div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <a class="code" href="classarmnn_1_1_layer.html">armnn::Layer</a>* inputLayer0 = <a class="code" href="_graph_utils_8cpp.html#a5f17e02e0054dac0a691685a0464ed36">GetFirstLayerWithName</a>(graph, <span class="stringliteral">"Input0"</span>);</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  BOOST_TEST((inputLayer0-><a class="code" href="classarmnn_1_1_layer.html#aaef29472862381822654ab6cbf7cba2a">GetType</a>() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::LayerType::Input</a>));</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  BOOST_TEST(<a class="code" href="_graph_utils_8cpp.html#a4c04337db4d5f380219a005657a8223b">CheckNumberOfInputSlot</a>(inputLayer0, 0));</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  BOOST_TEST(<a class="code" href="_graph_utils_8cpp.html#aada2e27f100807f5786eecb03390ba58">CheckNumberOfOutputSlot</a>(inputLayer0, 1));</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span> </div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <a class="code" href="classarmnn_1_1_layer.html">armnn::Layer</a>* inputLayer1 = <a class="code" href="_graph_utils_8cpp.html#a5f17e02e0054dac0a691685a0464ed36">GetFirstLayerWithName</a>(graph, <span class="stringliteral">"Input1"</span>);</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  BOOST_TEST((inputLayer1-><a class="code" href="classarmnn_1_1_layer.html#aaef29472862381822654ab6cbf7cba2a">GetType</a>() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::LayerType::Input</a>));</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  BOOST_TEST(<a class="code" href="_graph_utils_8cpp.html#a4c04337db4d5f380219a005657a8223b">CheckNumberOfInputSlot</a>(inputLayer1, 0));</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  BOOST_TEST(<a class="code" href="_graph_utils_8cpp.html#aada2e27f100807f5786eecb03390ba58">CheckNumberOfOutputSlot</a>(inputLayer1, 1));</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span> </div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  <a class="code" href="classarmnn_1_1_layer.html">armnn::Layer</a>* subLayer = <a class="code" href="_graph_utils_8cpp.html#a5f17e02e0054dac0a691685a0464ed36">GetFirstLayerWithName</a>(graph, <span class="stringliteral">"Sub"</span>);</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  BOOST_TEST((subLayer-><a class="code" href="classarmnn_1_1_layer.html#aaef29472862381822654ab6cbf7cba2a">GetType</a>() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">armnn::LayerType::Subtraction</a>));</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  BOOST_TEST(<a class="code" href="_graph_utils_8cpp.html#a4c04337db4d5f380219a005657a8223b">CheckNumberOfInputSlot</a>(subLayer, 2));</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  BOOST_TEST(<a class="code" href="_graph_utils_8cpp.html#aada2e27f100807f5786eecb03390ba58">CheckNumberOfOutputSlot</a>(subLayer, 1));</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span> </div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <a class="code" href="classarmnn_1_1_layer.html">armnn::Layer</a>* addLayer = <a class="code" href="_graph_utils_8cpp.html#a5f17e02e0054dac0a691685a0464ed36">GetFirstLayerWithName</a>(graph, <span class="stringliteral">"Output"</span>);</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  BOOST_TEST((addLayer-><a class="code" href="classarmnn_1_1_layer.html#aaef29472862381822654ab6cbf7cba2a">GetType</a>() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">armnn::LayerType::Addition</a>));</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  BOOST_TEST(<a class="code" href="_graph_utils_8cpp.html#a4c04337db4d5f380219a005657a8223b">CheckNumberOfInputSlot</a>(addLayer, 2));</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  BOOST_TEST(<a class="code" href="_graph_utils_8cpp.html#aada2e27f100807f5786eecb03390ba58">CheckNumberOfOutputSlot</a>(addLayer, 1));</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span> </div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> tensorInfo(<a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>({1, 1, 2, 2}), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  BOOST_TEST(<a class="code" href="_graph_utils_8cpp.html#afd518dba3d52728670459e4ad3bed5e1">IsConnected</a>(inputLayer0, subLayer, 0, 0, tensorInfo));</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  BOOST_TEST(<a class="code" href="_graph_utils_8cpp.html#afd518dba3d52728670459e4ad3bed5e1">IsConnected</a>(inputLayer1, subLayer, 0, 1, tensorInfo));</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  BOOST_TEST(<a class="code" href="_graph_utils_8cpp.html#afd518dba3d52728670459e4ad3bed5e1">IsConnected</a>(inputLayer0, addLayer, 0, 0, tensorInfo));</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  BOOST_TEST(<a class="code" href="_graph_utils_8cpp.html#afd518dba3d52728670459e4ad3bed5e1">IsConnected</a>(subLayer, addLayer, 0, 1, tensorInfo));</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span> </div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& outputLayer : graph.GetOutputLayers())</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  {</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  BOOST_TEST(<a class="code" href="_graph_utils_8cpp.html#afd518dba3d52728670459e4ad3bed5e1">IsConnected</a>(addLayer, const_cast<armnn::OutputLayer*>(outputLayer), 0, 0, tensorInfo));</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  }</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span> }</div><div class="ttc" id="namespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">armnn::LayerType::Addition</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_layer_html_aaef29472862381822654ab6cbf7cba2a"><div class="ttname"><a href="classarmnn_1_1_layer.html#aaef29472862381822654ab6cbf7cba2a">armnn::Layer::GetType</a></div><div class="ttdeci">LayerType GetType() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00259">Layer.hpp:259</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_layer_html"><div class="ttname"><a href="classarmnn_1_1_layer.html">armnn::Layer</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00209">Layer.hpp:209</a></div></div> |
| <div class="ttc" id="_graph_utils_8cpp_html_a4c04337db4d5f380219a005657a8223b"><div class="ttname"><a href="_graph_utils_8cpp.html#a4c04337db4d5f380219a005657a8223b">CheckNumberOfInputSlot</a></div><div class="ttdeci">bool CheckNumberOfInputSlot(armnn::Layer *layer, unsigned int num)</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8cpp_source.html#l00032">GraphUtils.cpp:32</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="_graph_utils_8cpp_html_afd518dba3d52728670459e4ad3bed5e1"><div class="ttname"><a href="_graph_utils_8cpp.html#afd518dba3d52728670459e4ad3bed5e1">IsConnected</a></div><div class="ttdeci">bool IsConnected(armnn::Layer *srcLayer, armnn::Layer *destLayer, unsigned int srcSlot, unsigned int destSlot, const armnn::TensorInfo &expectedTensorInfo)</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8cpp_source.html#l00042">GraphUtils.cpp:42</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_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="_graph_utils_8cpp_html_a5f17e02e0054dac0a691685a0464ed36"><div class="ttname"><a href="_graph_utils_8cpp.html#a5f17e02e0054dac0a691685a0464ed36">GetFirstLayerWithName</a></div><div class="ttdeci">armnn::Layer * GetFirstLayerWithName(armnn::Graph &graph, const std::string &name)</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8cpp_source.html#l00020">GraphUtils.cpp:20</a></div></div> |
| <div class="ttc" id="_graph_utils_8cpp_html_aada2e27f100807f5786eecb03390ba58"><div class="ttname"><a href="_graph_utils_8cpp.html#aada2e27f100807f5786eecb03390ba58">CheckNumberOfOutputSlot</a></div><div class="ttdeci">bool CheckNumberOfOutputSlot(armnn::Layer *layer, unsigned int num)</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8cpp_source.html#l00037">GraphUtils.cpp:37</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">armnn::LayerType::Subtraction</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::LayerType::Input</a></div></div> |
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