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diff --git a/20.02/_output_shape_of_squeeze_8cpp.xhtml b/20.02/_output_shape_of_squeeze_8cpp.xhtml new file mode 100644 index 0000000000..f94e7e58cd --- /dev/null +++ b/20.02/_output_shape_of_squeeze_8cpp.xhtml @@ -0,0 +1,289 @@ +<!-- Copyright (c) 2020 ARM Limited. --> +<!-- --> +<!-- SPDX-License-Identifier: MIT --> +<!-- --> +<!-- HTML header for doxygen 1.8.13--> +<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> +<html xmlns="http://www.w3.org/1999/xhtml"> +<head> +<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/> +<meta http-equiv="X-UA-Compatible" content="IE=9"/> +<meta name="generator" content="Doxygen 1.8.13"/> +<meta name="robots" content="NOINDEX, NOFOLLOW" /> +<meta name="viewport" content="width=device-width, initial-scale=1"/> +<title>ArmNN: src/armnnTfLiteParser/test/OutputShapeOfSqueeze.cpp File Reference</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> +<script 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class="headertitle"> +<div class="title">OutputShapeOfSqueeze.cpp File Reference</div> </div> +</div><!--header--> +<div class="contents"> +<div class="textblock"><code>#include <boost/test/unit_test.hpp></code><br /> +<code>#include "<a class="el" href="_tf_lite_parser_8hpp_source.xhtml">../TfLiteParser.hpp</a>"</code><br /> +<code>#include <iostream></code><br /> +<code>#include <string></code><br /> +</div> +<p><a href="_output_shape_of_squeeze_8cpp_source.xhtml">Go to the source code of this file.</a></p> +<table class="memberdecls"> +<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a> +Functions</h2></td></tr> +<tr class="memitem:ae3a6cb217a792718f2bd0e8f45e3ca9e"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="_output_shape_of_squeeze_8cpp.xhtml#ae3a6cb217a792718f2bd0e8f45e3ca9e">BOOST_AUTO_TEST_SUITE</a> (TensorflowLiteParser)</td></tr> +<tr class="separator:ae3a6cb217a792718f2bd0e8f45e3ca9e"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab3d999658d7d69b794a1e1997ac29ff4"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="_output_shape_of_squeeze_8cpp.xhtml#ab3d999658d7d69b794a1e1997ac29ff4">BOOST_FIXTURE_TEST_CASE</a> (EmptySqueezeDims_OutputWithAllDimensionsSqueezed, TfLiteParserFixture)</td></tr> +<tr class="separator:ab3d999658d7d69b794a1e1997ac29ff4"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a9725cfd2247da237707c37ef87596c7b"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="_output_shape_of_squeeze_8cpp.xhtml#a9725cfd2247da237707c37ef87596c7b">BOOST_FIXTURE_TEST_CASE</a> (SqueezeDimsNotIncludingSizeOneDimensions_NoDimensionsSqueezedInOutput, TfLiteParserFixture)</td></tr> +<tr class="separator:a9725cfd2247da237707c37ef87596c7b"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a1ed43ba7737ea60ddb9c274967888820"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="_output_shape_of_squeeze_8cpp.xhtml#a1ed43ba7737ea60ddb9c274967888820">BOOST_FIXTURE_TEST_CASE</a> (SqueezeDimsRangePartial_OutputWithDimensionsWithinRangeSqueezed, TfLiteParserFixture)</td></tr> +<tr class="separator:a1ed43ba7737ea60ddb9c274967888820"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:af7f71af5c6c124222dd1c42c5df892f4"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="_output_shape_of_squeeze_8cpp.xhtml#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END</a> ()</td></tr> +<tr class="separator:af7f71af5c6c124222dd1c42c5df892f4"><td class="memSeparator" colspan="2"> </td></tr> +</table> +<h2 class="groupheader">Function Documentation</h2> +<a id="ae3a6cb217a792718f2bd0e8f45e3ca9e"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ae3a6cb217a792718f2bd0e8f45e3ca9e">◆ </a></span>BOOST_AUTO_TEST_SUITE()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_SUITE </td> + <td>(</td> + <td class="paramtype">TensorflowLiteParser </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="reference">Referenced by <a class="el" href="_subgraph_view_tests_8cpp_source.xhtml#l00368">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_tensor_test_8cpp_source.xhtml#l00024">armnn::boost_test_print_type()</a>, <a class="el" href="_const_tensor_layer_visitor_8cpp_source.xhtml#l00128">TestQuantizedLstmLayerVisitor::CheckInputParameters()</a>, <a class="el" href="_optimization_views_tests_8cpp_source.xhtml#l00018">CheckLayers()</a>, <a class="el" href="_graph_tests_8cpp_source.xhtml#l00022">CheckOrder()</a>, <a class="el" href="_profiler_tests_8cpp_source.xhtml#l00023">armnn::GetProfilerEventSequenceSize()</a>, <a class="el" href="_backend_profiling_tests_8cpp_source.xhtml#l00091">PacketWriter()</a>, and <a class="el" href="_runtime_tests_8cpp_source.xhtml#l00028">armnn::RuntimeLoadedNetworksReserve()</a>.</p> + +</div> +</div> +<a id="af7f71af5c6c124222dd1c42c5df892f4"></a> +<h2 class="memtitle"><span class="permalink"><a href="#af7f71af5c6c124222dd1c42c5df892f4">◆ </a></span>BOOST_AUTO_TEST_SUITE_END()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_AUTO_TEST_SUITE_END </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="reference">Referenced by <a class="el" href="_output_shape_of_squeeze_8cpp_source.xhtml#l00050">BOOST_FIXTURE_TEST_CASE()</a>.</p> + +</div> +</div> +<a id="ab3d999658d7d69b794a1e1997ac29ff4"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ab3d999658d7d69b794a1e1997ac29ff4">◆ </a></span>BOOST_FIXTURE_TEST_CASE() <span class="overload">[1/3]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_FIXTURE_TEST_CASE </td> + <td>(</td> + <td class="paramtype">EmptySqueezeDims_OutputWithAllDimensionsSqueezed </td> + <td class="paramname">, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">TfLiteParserFixture </td> + <td class="paramname"> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_output_shape_of_squeeze_8cpp_source.xhtml#l00027">27</a> of file <a class="el" href="_output_shape_of_squeeze_8cpp_source.xhtml">OutputShapeOfSqueeze.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00092">TensorInfo::GetNumDimensions()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00093">TensorInfo::GetNumElements()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00088">TensorInfo::GetShape()</a>, and <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l01463">TfLiteParser::OutputShapeOfSqueeze()</a>.</p> +<div class="fragment"><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> {</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> </div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  std::vector<uint32_t> squeezeDims = { };</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> </div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, m_InputShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo = m_Parser.OutputShapeOfSqueeze(squeezeDims, inputTensorInfo);</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  BOOST_TEST(outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>() == 4);</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  BOOST_TEST(outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == 2);</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  BOOST_TEST((outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>() == <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({ 2, 2 })));</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> };</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00088">Tensor.hpp:88</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#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.xhtml#l00092">Tensor.hpp:92</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#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.xhtml#l00093">Tensor.hpp:93</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a9725cfd2247da237707c37ef87596c7b"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a9725cfd2247da237707c37ef87596c7b">◆ </a></span>BOOST_FIXTURE_TEST_CASE() <span class="overload">[2/3]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_FIXTURE_TEST_CASE </td> + <td>(</td> + <td class="paramtype">SqueezeDimsNotIncludingSizeOneDimensions_NoDimensionsSqueezedInOutput </td> + <td class="paramname">, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">TfLiteParserFixture </td> + <td class="paramname"> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_output_shape_of_squeeze_8cpp_source.xhtml#l00039">39</a> of file <a class="el" href="_output_shape_of_squeeze_8cpp_source.xhtml">OutputShapeOfSqueeze.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00092">TensorInfo::GetNumDimensions()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00093">TensorInfo::GetNumElements()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00088">TensorInfo::GetShape()</a>, and <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l01463">TfLiteParser::OutputShapeOfSqueeze()</a>.</p> +<div class="fragment"><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> {</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  std::vector<uint32_t> squeezeDims = { 1, 2 };</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> </div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, m_InputShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo = m_Parser.OutputShapeOfSqueeze(squeezeDims, inputTensorInfo);</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  BOOST_TEST(outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>() == 4);</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  BOOST_TEST(outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == 4);</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  BOOST_TEST((outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>() == <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({ 1, 2, 2, 1 })));</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> };</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00088">Tensor.hpp:88</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#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.xhtml#l00092">Tensor.hpp:92</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#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.xhtml#l00093">Tensor.hpp:93</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a1ed43ba7737ea60ddb9c274967888820"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a1ed43ba7737ea60ddb9c274967888820">◆ </a></span>BOOST_FIXTURE_TEST_CASE() <span class="overload">[3/3]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_FIXTURE_TEST_CASE </td> + <td>(</td> + <td class="paramtype">SqueezeDimsRangePartial_OutputWithDimensionsWithinRangeSqueezed </td> + <td class="paramname">, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">TfLiteParserFixture </td> + <td class="paramname"> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_output_shape_of_squeeze_8cpp_source.xhtml#l00050">50</a> of file <a class="el" href="_output_shape_of_squeeze_8cpp_source.xhtml">OutputShapeOfSqueeze.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_output_shape_of_squeeze_8cpp.xhtml#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00092">TensorInfo::GetNumDimensions()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00093">TensorInfo::GetNumElements()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00088">TensorInfo::GetShape()</a>, and <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l01463">TfLiteParser::OutputShapeOfSqueeze()</a>.</p> +<div class="fragment"><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> {</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  std::vector<uint32_t> squeezeDims = { 1, 3 };</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> </div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, m_InputShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo = m_Parser.OutputShapeOfSqueeze(squeezeDims, inputTensorInfo);</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  BOOST_TEST(outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>() == 4);</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  BOOST_TEST(outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == 3);</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  BOOST_TEST((outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>() == <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({ 1, 2, 2 })));</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> };</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00088">Tensor.hpp:88</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#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.xhtml#l00092">Tensor.hpp:92</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#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.xhtml#l00093">Tensor.hpp:93</a></div></div> +</div><!-- fragment --> +</div> +</div> +</div><!-- contents --> +</div><!-- doc-content --> +<!-- start footer part --> +<div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> + <ul> + <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_510324e450b9df55f9aac2d01fae83d8.xhtml">armnnTfLiteParser</a></li><li class="navelem"><a class="el" href="dir_6d8d07609c57029a35488d2120e28fbd.xhtml">test</a></li><li class="navelem"><a class="el" href="_output_shape_of_squeeze_8cpp.xhtml">OutputShapeOfSqueeze.cpp</a></li> + <li class="footer">Generated on Fri Mar 13 2020 16:09:14 for ArmNN by + <a href="http://www.doxygen.org/index.html"> + <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li> + </ul> +</div> +</body> +</html> |