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<div class="textblock"><code>#include &lt;boost/test/unit_test.hpp&gt;</code><br />
<code>#include &quot;<a class="el" href="_tf_lite_parser_8hpp_source.html">../TfLiteParser.hpp</a>&quot;</code><br />
<code>#include &lt;iostream&gt;</code><br />
<code>#include &lt;string&gt;</code><br />
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<p class="reference">Referenced by <a class="el" href="_subgraph_view_tests_8cpp_source.html#l00368">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_tensor_test_8cpp_source.html#l00024">armnn::boost_test_print_type()</a>, <a class="el" href="_const_tensor_layer_visitor_8cpp_source.html#l00128">TestQuantizedLstmLayerVisitor::CheckInputParameters()</a>, <a class="el" href="_optimization_views_tests_8cpp_source.html#l00018">CheckLayers()</a>, <a class="el" href="_graph_tests_8cpp_source.html#l00022">CheckOrder()</a>, <a class="el" href="_profiler_tests_8cpp_source.html#l00022">armnn::GetProfilerEventSequenceSize()</a>, <a class="el" href="_backend_profiling_tests_8cpp_source.html#l00090">PacketWriter()</a>, and <a class="el" href="_runtime_tests_8cpp_source.html#l00028">armnn::RuntimeLoadedNetworksReserve()</a>.</p>
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<p class="reference">Referenced by <a class="el" href="_output_shape_of_squeeze_8cpp_source.html#l00050">BOOST_FIXTURE_TEST_CASE()</a>.</p>
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<p class="definition">Definition at line <a class="el" href="_output_shape_of_squeeze_8cpp_source.html#l00027">27</a> of file <a class="el" href="_output_shape_of_squeeze_8cpp_source.html">OutputShapeOfSqueeze.cpp</a>.</p>
<p class="reference">References <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_tensor_8hpp_source.html#l00092">TensorInfo::GetNumDimensions()</a>, <a class="el" href="_tensor_8hpp_source.html#l00093">TensorInfo::GetNumElements()</a>, <a class="el" href="_tensor_8hpp_source.html#l00088">TensorInfo::GetShape()</a>, and <a class="el" href="_tf_lite_parser_8cpp_source.html#l01466">TfLiteParser::OutputShapeOfSqueeze()</a>.</p>
<div class="fragment"><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;</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; std::vector&lt;uint32_t&gt; squeezeDims = { };</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(4, m_InputShape, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputTensorInfo = m_Parser.OutputShapeOfSqueeze(squeezeDims, inputTensorInfo);</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; BOOST_TEST(outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>() == 4);</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; BOOST_TEST(outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == 2);</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; BOOST_TEST((outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>() == <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>({ 2, 2 })));</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;};</div><div class="ttc" id="classarmnn_1_1_tensor_info_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorInfo::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00092">Tensor.hpp:92</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_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="classarmnn_1_1_tensor_info_html_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">armnn::TensorInfo::GetNumElements</a></div><div class="ttdeci">unsigned int GetNumElements() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00093">Tensor.hpp:93</a></div></div>
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<p class="definition">Definition at line <a class="el" href="_output_shape_of_squeeze_8cpp_source.html#l00039">39</a> of file <a class="el" href="_output_shape_of_squeeze_8cpp_source.html">OutputShapeOfSqueeze.cpp</a>.</p>
<p class="reference">References <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_tensor_8hpp_source.html#l00092">TensorInfo::GetNumDimensions()</a>, <a class="el" href="_tensor_8hpp_source.html#l00093">TensorInfo::GetNumElements()</a>, <a class="el" href="_tensor_8hpp_source.html#l00088">TensorInfo::GetShape()</a>, and <a class="el" href="_tf_lite_parser_8cpp_source.html#l01466">TfLiteParser::OutputShapeOfSqueeze()</a>.</p>
<div class="fragment"><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160;{</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; std::vector&lt;uint32_t&gt; squeezeDims = { 1, 2 };</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; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(4, m_InputShape, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputTensorInfo = m_Parser.OutputShapeOfSqueeze(squeezeDims, inputTensorInfo);</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; BOOST_TEST(outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>() == 4);</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; BOOST_TEST(outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == 4);</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; BOOST_TEST((outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>() == <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>({ 1, 2, 2, 1 })));</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160;};</div><div class="ttc" id="classarmnn_1_1_tensor_info_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorInfo::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00092">Tensor.hpp:92</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_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="classarmnn_1_1_tensor_info_html_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">armnn::TensorInfo::GetNumElements</a></div><div class="ttdeci">unsigned int GetNumElements() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00093">Tensor.hpp:93</a></div></div>
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<p class="definition">Definition at line <a class="el" href="_output_shape_of_squeeze_8cpp_source.html#l00050">50</a> of file <a class="el" href="_output_shape_of_squeeze_8cpp_source.html">OutputShapeOfSqueeze.cpp</a>.</p>
<p class="reference">References <a class="el" href="_output_shape_of_squeeze_8cpp.html#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_tensor_8hpp_source.html#l00092">TensorInfo::GetNumDimensions()</a>, <a class="el" href="_tensor_8hpp_source.html#l00093">TensorInfo::GetNumElements()</a>, <a class="el" href="_tensor_8hpp_source.html#l00088">TensorInfo::GetShape()</a>, and <a class="el" href="_tf_lite_parser_8cpp_source.html#l01466">TfLiteParser::OutputShapeOfSqueeze()</a>.</p>
<div class="fragment"><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; std::vector&lt;uint32_t&gt; squeezeDims = { 1, 3 };</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160;</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(4, m_InputShape, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputTensorInfo = m_Parser.OutputShapeOfSqueeze(squeezeDims, inputTensorInfo);</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; BOOST_TEST(outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>() == 4);</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; BOOST_TEST(outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == 3);</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; BOOST_TEST((outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>() == <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>({ 1, 2, 2 })));</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160;};</div><div class="ttc" id="classarmnn_1_1_tensor_info_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorInfo::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00092">Tensor.hpp:92</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_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="classarmnn_1_1_tensor_info_html_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">armnn::TensorInfo::GetNumElements</a></div><div class="ttdeci">unsigned int GetNumElements() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00093">Tensor.hpp:93</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_html_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape &amp; GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00088">Tensor.hpp:88</a></div></div>
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