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<div class="title">ConvertConstantsFloatToHalfTests.cpp</div> </div>
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<a href="_convert_constants_float_to_half_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 &quot;../TestUtils.hpp&quot;</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="_optimizer_8hpp.html">Optimizer.hpp</a>&gt;</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_half_8hpp.html">Half.hpp</a>&gt;</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;</div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="preprocessor">#include &lt;boost/test/unit_test.hpp&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="keyword">using namespace </span><a class="code" href="namespacearmnn.html">armnn</a>;</div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;</div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<a class="code" href="_output_shape_of_squeeze_8cpp.html#ae3a6cb217a792718f2bd0e8f45e3ca9e">BOOST_AUTO_TEST_SUITE</a>(<a class="code" href="classarmnn_1_1_optimizer.html">Optimizer</a>)</div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="keyword">using namespace </span><a class="code" href="namespacearmnn_1_1optimizations.html">armnn::optimizations</a>;</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;</div><div class="line"><a name="l00018"></a><span class="lineno"><a class="line" href="_convert_constants_float_to_half_tests_8cpp.html#afcffed38bb045410d7f50fa3d118a34f"> 18</a></span>&#160;<a class="code" href="namespacearmnn.html#a10d15f3df1ab52b3b915a4be1dbf386b">BOOST_AUTO_TEST_CASE</a>(ConvertConstantsFloatToHalfTest)</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="classarmnn_1_1_graph.html">armnn::Graph</a> graph;</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"> 22</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>({ 1, 1, 1, 2 }, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a>);</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">// Create const tensor from fp32 data</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dims[] = { 4, 1, 1, 1 };</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; std::vector&lt;float&gt; floatWeights{ 1.0f, 2.0f, 3.0f, 4.0f };</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; <a class="code" href="classarmnn_1_1_const_tensor.html">armnn::ConstTensor</a> weights(<a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(4, dims, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>), floatWeights);</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; <span class="comment">// Create simple test network</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; <span class="keyword">auto</span> input = graph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a>&lt;<a class="code" href="classarmnn_1_1_input_layer.html">armnn::InputLayer</a>&gt;(0, <span class="stringliteral">&quot;input&quot;</span>);</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; input-&gt;<a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>().<a class="code" href="classarmnn_1_1_output_slot.html#a7e5c5771d741dd5473989047a9314728">SetTensorInfo</a>(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</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; <span class="keyword">auto</span> fc = graph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a>&lt;<a class="code" href="classarmnn_1_1_fully_connected_layer.html">armnn::FullyConnectedLayer</a>&gt;(<a class="code" href="structarmnn_1_1_fully_connected_descriptor.html">armnn::FullyConnectedDescriptor</a>(), <span class="stringliteral">&quot;fc&quot;</span>);</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; fc-&gt;<a class="code" href="classarmnn_1_1_fully_connected_layer.html#a2664044e28e69309ea08ef385fe53903">m_Weight</a> = std::make_unique&lt;armnn::ScopedCpuTensorHandle&gt;(weights);</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; fc-&gt;GetOutputSlot().SetTensorInfo(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; <span class="keyword">auto</span> output = graph.<a class="code" href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a>&lt;<a class="code" href="classarmnn_1_1_output_layer.html">armnn::OutputLayer</a>&gt;(1, <span class="stringliteral">&quot;output&quot;</span>);</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; <span class="comment">// Connect up the layers</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; input-&gt;<a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>().<a class="code" href="classarmnn_1_1_output_slot.html#adcfb97035799ea4c043f9ef370714815">Connect</a>(fc-&gt;GetInputSlot(0));</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; fc-&gt;GetOutputSlot().Connect(output-&gt;GetInputSlot(0));</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160;</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; <span class="comment">// Check tensor data type before conversion</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(fc-&gt;m_Weight-&gt;GetTensorInfo().GetDataType() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</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="comment">// Run the optimizer</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; <a class="code" href="classarmnn_1_1_optimizer.html#a1f48ba622b76ea04d15c9b62f642bf08">armnn::Optimizer::Pass</a>(graph, <a class="code" href="namespacearmnn.html#aa7427025a851113a492de0b68b23d22a">armnn::MakeOptimizations</a>(<a class="code" href="namespacearmnn_1_1optimizations.html#a226cef3d775179e25ee35d231f4e8fae">ConvertConstantsFloatToHalf</a>()));</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160;</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; <span class="comment">// Check tensor data type after conversion</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(fc-&gt;m_Weight-&gt;GetTensorInfo().GetDataType() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a>);</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160;</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; <span class="comment">// Check whether data matches expected fp16 data</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; <a class="code" href="namespacearmnn.html#a0f38fa92b2468d5378258a2b074c1a31">Half</a>* data = fc-&gt;m_Weight-&gt;GetTensor&lt;<a class="code" href="namespacearmnn.html#a0f38fa92b2468d5378258a2b074c1a31">Half</a>&gt;();</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(data[0] == <a class="code" href="namespacearmnn.html#a0f38fa92b2468d5378258a2b074c1a31">Half</a>(1.0f));</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(data[1] == <a class="code" href="namespacearmnn.html#a0f38fa92b2468d5378258a2b074c1a31">Half</a>(2.0f));</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(data[2] == <a class="code" href="namespacearmnn.html#a0f38fa92b2468d5378258a2b074c1a31">Half</a>(3.0f));</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(data[3] == <a class="code" href="namespacearmnn.html#a0f38fa92b2468d5378258a2b074c1a31">Half</a>(4.0f));</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;<a class="code" href="_profiler_tests_8cpp.html#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END</a>()</div><div class="ttc" id="classarmnn_1_1_fully_connected_layer_html_a2664044e28e69309ea08ef385fe53903"><div class="ttname"><a href="classarmnn_1_1_fully_connected_layer.html#a2664044e28e69309ea08ef385fe53903">armnn::FullyConnectedLayer::m_Weight</a></div><div class="ttdeci">std::unique_ptr&lt; ScopedCpuTensorHandle &gt; m_Weight</div><div class="ttdoc">A unique pointer to store Weight values. </div><div class="ttdef"><b>Definition:</b> <a href="_fully_connected_layer_8hpp_source.html#l00019">FullyConnectedLayer.hpp:19</a></div></div>
<div class="ttc" id="classarmnn_1_1_input_layer_html"><div class="ttname"><a href="classarmnn_1_1_input_layer.html">armnn::InputLayer</a></div><div class="ttdoc">A layer user-provided data can be bound to (e.g. inputs, outputs). </div><div class="ttdef"><b>Definition:</b> <a href="_input_layer_8hpp_source.html#l00013">InputLayer.hpp:13</a></div></div>
<div class="ttc" id="namespacearmnn_html_a0f38fa92b2468d5378258a2b074c1a31"><div class="ttname"><a href="namespacearmnn.html#a0f38fa92b2468d5378258a2b074c1a31">armnn::Half</a></div><div class="ttdeci">half_float::half Half</div><div class="ttdef"><b>Definition:</b> <a href="_half_8hpp_source.html#l00016">Half.hpp:16</a></div></div>
<div class="ttc" id="classarmnn_1_1_const_tensor_html"><div class="ttname"><a href="classarmnn_1_1_const_tensor.html">armnn::ConstTensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and an immutable backing store. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00199">Tensor.hpp:199</a></div></div>
<div class="ttc" id="_optimizer_8hpp_html"><div class="ttname"><a href="_optimizer_8hpp.html">Optimizer.hpp</a></div></div>
<div class="ttc" id="namespacearmnn_1_1optimizations_html_a226cef3d775179e25ee35d231f4e8fae"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#a226cef3d775179e25ee35d231f4e8fae">armnn::optimizations::ConvertConstantsFloatToHalf</a></div><div class="ttdeci">ConvertConstants&lt; Float32ToFloat16, IsFloat16Layer &gt; ConvertConstantsFloatToHalf</div><div class="ttdef"><b>Definition:</b> <a href="_convert_constants_8hpp_source.html#l00101">ConvertConstants.hpp:101</a></div></div>
<div class="ttc" id="namespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</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="namespacearmnn_html_a10d15f3df1ab52b3b915a4be1dbf386b"><div class="ttname"><a href="namespacearmnn.html#a10d15f3df1ab52b3b915a4be1dbf386b">armnn::BOOST_AUTO_TEST_CASE</a></div><div class="ttdeci">BOOST_AUTO_TEST_CASE(CheckConvolution2dLayer)</div><div class="ttdef"><b>Definition:</b> <a href="_const_tensor_layer_visitor_8cpp_source.html#l00170">ConstTensorLayerVisitor.cpp:170</a></div></div>
<div class="ttc" id="classarmnn_1_1_graph_html_a7563c5b899e7d0ada08fd0fdb202f205"><div class="ttname"><a href="classarmnn_1_1_graph.html#a7563c5b899e7d0ada08fd0fdb202f205">armnn::Graph::AddLayer</a></div><div class="ttdeci">LayerT * AddLayer(Args &amp;&amp;... args)</div><div class="ttdoc">Adds a new layer, of type LayerType, to the graph constructed with the arguments passed. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.html#l00397">Graph.hpp:397</a></div></div>
<div class="ttc" id="classarmnn_1_1_optimizer_html_a1f48ba622b76ea04d15c9b62f642bf08"><div class="ttname"><a href="classarmnn_1_1_optimizer.html#a1f48ba622b76ea04d15c9b62f642bf08">armnn::Optimizer::Pass</a></div><div class="ttdeci">static void Pass(Graph &amp;graph, const Optimizations &amp;optimizations)</div><div class="ttdef"><b>Definition:</b> <a href="_optimizer_8cpp_source.html#l00016">Optimizer.cpp:16</a></div></div>
<div class="ttc" id="classarmnn_1_1_output_slot_html_adcfb97035799ea4c043f9ef370714815"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#adcfb97035799ea4c043f9ef370714815">armnn::OutputSlot::Connect</a></div><div class="ttdeci">int Connect(InputSlot &amp;destination)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00079">Layer.cpp:79</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="namespacearmnn_1_1optimizations_html"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html">armnn::optimizations</a></div><div class="ttdef"><b>Definition:</b> <a href="_add_debug_8hpp_source.html#l00012">AddDebug.hpp:12</a></div></div>
<div class="ttc" id="classarmnn_1_1_fully_connected_layer_html"><div class="ttname"><a href="classarmnn_1_1_fully_connected_layer.html">armnn::FullyConnectedLayer</a></div><div class="ttdoc">This layer represents a fully connected operation. </div><div class="ttdef"><b>Definition:</b> <a href="_fully_connected_layer_8hpp_source.html#l00015">FullyConnectedLayer.hpp:15</a></div></div>
<div class="ttc" id="classarmnn_1_1_output_slot_html_a7e5c5771d741dd5473989047a9314728"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#a7e5c5771d741dd5473989047a9314728">armnn::OutputSlot::SetTensorInfo</a></div><div class="ttdeci">void SetTensorInfo(const TensorInfo &amp;tensorInfo) override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00058">Layer.cpp:58</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="structarmnn_1_1_fully_connected_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.html">armnn::FullyConnectedDescriptor</a></div><div class="ttdoc">A FullyConnectedDescriptor for the FullyConnectedLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00373">Descriptors.hpp:373</a></div></div>
<div class="ttc" id="classarmnn_1_1_output_layer_html"><div class="ttname"><a href="classarmnn_1_1_output_layer.html">armnn::OutputLayer</a></div><div class="ttdoc">A layer user-provided data can be bound to (e.g. inputs, outputs). </div><div class="ttdef"><b>Definition:</b> <a href="_output_layer_8hpp_source.html#l00013">OutputLayer.hpp:13</a></div></div>
<div class="ttc" id="namespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8hpp_source.html#l00011">BackendHelper.hpp:11</a></div></div>
<div class="ttc" id="namespacearmnn_html_aa7427025a851113a492de0b68b23d22a"><div class="ttname"><a href="namespacearmnn.html#aa7427025a851113a492de0b68b23d22a">armnn::MakeOptimizations</a></div><div class="ttdeci">Optimizer::Optimizations MakeOptimizations(Args &amp;&amp;... args)</div><div class="ttdef"><b>Definition:</b> <a href="_optimizer_8hpp_source.html#l00043">Optimizer.hpp:43</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="classarmnn_1_1_optimizer_html"><div class="ttname"><a href="classarmnn_1_1_optimizer.html">armnn::Optimizer</a></div><div class="ttdef"><b>Definition:</b> <a href="_optimizer_8hpp_source.html#l00014">Optimizer.hpp:14</a></div></div>
<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div>
<div class="ttc" id="classarmnn_1_1_graph_html"><div class="ttname"><a href="classarmnn_1_1_graph.html">armnn::Graph</a></div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.html#l00029">Graph.hpp:29</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="classarmnn_1_1_layer_html_a0e36688a43c35668d8db5257274c68fe"><div class="ttname"><a href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">armnn::Layer::GetOutputSlot</a></div><div class="ttdeci">const OutputSlot &amp; GetOutputSlot(unsigned int index=0) const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00312">Layer.hpp:312</a></div></div>
<div class="ttc" id="_half_8hpp_html"><div class="ttname"><a href="_half_8hpp.html">Half.hpp</a></div></div>
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