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diff --git a/20.02/_image_tensor_generator_8cpp.xhtml b/20.02/_image_tensor_generator_8cpp.xhtml new file mode 100644 index 0000000000..600cc04684 --- /dev/null +++ b/20.02/_image_tensor_generator_8cpp.xhtml @@ -0,0 +1,185 @@ +<!-- 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: tests/ImageTensorGenerator/ImageTensorGenerator.cpp File Reference</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> +<script 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class="headertitle"> +<div class="title">ImageTensorGenerator.cpp File Reference</div> </div> +</div><!--header--> +<div class="contents"> +<div class="textblock"><code>#include "<a class="el" href="_image_tensor_generator_8hpp_source.xhtml">ImageTensorGenerator.hpp</a>"</code><br /> +<code>#include "<a class="el" href="_inference_test_image_8hpp_source.xhtml">../InferenceTestImage.hpp</a>"</code><br /> +<code>#include <<a class="el" href="_logging_8hpp_source.xhtml">armnn/Logging.hpp</a>></code><br /> +<code>#include <<a class="el" href="_types_utils_8hpp_source.xhtml">armnn/TypesUtils.hpp</a>></code><br /> +<code>#include <boost/filesystem.hpp></code><br /> +<code>#include <boost/filesystem/operations.hpp></code><br /> +<code>#include <boost/filesystem/path.hpp></code><br /> +<code>#include <boost/program_options.hpp></code><br /> +<code>#include <boost/variant.hpp></code><br /> +<code>#include <algorithm></code><br /> +<code>#include <fstream></code><br /> +<code>#include <iostream></code><br /> +<code>#include <string></code><br /> +</div> +<p><a href="_image_tensor_generator_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:a0ddf1224851353fc92bfbff6f499fa97"><td class="memItemLeft" align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="_image_tensor_generator_8cpp.xhtml#a0ddf1224851353fc92bfbff6f499fa97">main</a> (int argc, char *argv[])</td></tr> +<tr class="separator:a0ddf1224851353fc92bfbff6f499fa97"><td class="memSeparator" colspan="2"> </td></tr> +</table> +<h2 class="groupheader">Function Documentation</h2> +<a id="a0ddf1224851353fc92bfbff6f499fa97"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a0ddf1224851353fc92bfbff6f499fa97">◆ </a></span>main()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">int main </td> + <td>(</td> + <td class="paramtype">int </td> + <td class="paramname"><em>argc</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">char * </td> + <td class="paramname"><em>argv</em>[] </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="_image_tensor_generator_8cpp_source.xhtml#l00248">248</a> of file <a class="el" href="_image_tensor_generator_8cpp_source.xhtml">ImageTensorGenerator.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_logging_8hpp_source.xhtml#l00163">ARMNN_LOG</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_image_tensor_generator_8hpp_source.xhtml#l00039">GetNormalizationParameters()</a>, <a class="el" href="_image_tensor_generator_8hpp_source.xhtml#l00091">PrepareImageTensor< float >()</a>, <a class="el" href="_image_tensor_generator_8hpp_source.xhtml#l00128">PrepareImageTensor< int >()</a>, <a class="el" href="_image_tensor_generator_8hpp_source.xhtml#l00148">PrepareImageTensor< uint8_t >()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>, <a class="el" href="_exceptions_8cpp_source.xhtml#l00032">Exception::what()</a>, and <a class="el" href="_image_tensor_generator_8hpp_source.xhtml#l00172">WriteImageTensorImpl()</a>.</p> +<div class="fragment"><div class="line"><a name="l00249"></a><span class="lineno"> 249</span> {</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  CommandLineProcessor cmdline;</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <span class="keywordflow">if</span> (!cmdline.ProcessCommandLine(argc, argv))</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  {</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <span class="keywordflow">return</span> -1;</div><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">const</span> std::string imagePath(cmdline.GetInputFileName());</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <span class="keyword">const</span> std::string outputPath(cmdline.GetOutputFileName());</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="keyword">const</span> <a class="code" href="_image_tensor_generator_8hpp.xhtml#a7599848540a5f43e977119c054b3563e">SupportedFrontend</a>& modelFormat(cmdline.GetModelFormat());</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> outputType(cmdline.GetOutputType());</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> newWidth = cmdline.GetNewWidth();</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> newHeight = cmdline.GetNewHeight();</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batchSize = 1;</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> outputLayout(cmdline.GetLayout());</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span> </div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <span class="keyword">using</span> <a class="code" href="_model_accuracy_checker_test_8cpp.xhtml#a9eb69ebdaf4ceb8014e7c8a540266100">TContainer</a> = boost::variant<std::vector<float>, std::vector<int>, std::vector<uint8_t>>;</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  std::vector<TContainer> imageDataContainers;</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <span class="keyword">const</span> <a class="code" href="struct_normalization_parameters.xhtml">NormalizationParameters</a>& normParams = <a class="code" href="_image_tensor_generator_8hpp.xhtml#a572494250ece8d94b68ea490d0bf46e4">GetNormalizationParameters</a>(modelFormat, outputType);</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <span class="keywordflow">try</span></div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  {</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <span class="keywordflow">switch</span> (outputType)</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>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>:</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  imageDataContainers.push_back(<a class="code" href="_image_tensor_generator_8hpp.xhtml#ac1e8e68c74e5d1c8fd19a91a68de3cb7">PrepareImageTensor<int></a>(</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  imagePath, newWidth, newHeight, normParams, batchSize, outputLayout));</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>:</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  imageDataContainers.push_back(<a class="code" href="_image_tensor_generator_8hpp.xhtml#ac372cd2b257f33f29999217e1d2d8a37">PrepareImageTensor<uint8_t></a>(</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  imagePath, newWidth, newHeight, normParams, batchSize, outputLayout));</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>:</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  imageDataContainers.push_back(<a class="code" href="_image_tensor_generator_8hpp.xhtml#affacfe95f011fce3b897b2745880f82a">PrepareImageTensor<float></a>(</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  imagePath, newWidth, newHeight, normParams, batchSize, outputLayout));</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  }</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>  <span class="keywordflow">catch</span> (<span class="keyword">const</span> <a class="code" href="class_inference_test_image_exception.xhtml">InferenceTestImageException</a>& e)</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  {</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Failed to load image file "</span> << imagePath << <span class="stringliteral">" with error: "</span> << e.<a class="code" href="classarmnn_1_1_exception.xhtml#abf843cbb29dec939d0731e491bab6f70">what</a>();</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  <span class="keywordflow">return</span> -1;</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  }</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>  std::ofstream imageTensorFile;</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  imageTensorFile.open(outputPath, std::ofstream::out);</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  <span class="keywordflow">if</span> (imageTensorFile.is_open())</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>  boost::apply_visitor([&imageTensorFile](<span class="keyword">auto</span>&& imageData) { <a class="code" href="_image_tensor_generator_8hpp.xhtml#a292c4c49fc943bfcb7ee1ce1435d4690">WriteImageTensorImpl</a>(imageData, imageTensorFile); },</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  imageDataContainers[0]);</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  <span class="keywordflow">if</span> (!imageTensorFile)</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  {</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Failed to write to output file"</span> << outputPath;</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  imageTensorFile.close();</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  <span class="keywordflow">return</span> -1;</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  }</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  imageTensorFile.close();</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  }</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  {</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Failed to open output file"</span> << outputPath;</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <span class="keywordflow">return</span> -1;</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  }</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span> </div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  <span class="keywordflow">return</span> 0;</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span> }</div><div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a></div><div class="ttdeci">DataLayout</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00049">Types.hpp:49</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div> +<div class="ttc" id="_image_tensor_generator_8hpp_xhtml_a572494250ece8d94b68ea490d0bf46e4"><div class="ttname"><a href="_image_tensor_generator_8hpp.xhtml#a572494250ece8d94b68ea490d0bf46e4">GetNormalizationParameters</a></div><div class="ttdeci">NormalizationParameters GetNormalizationParameters(const SupportedFrontend &modelFormat, const armnn::DataType &outputType)</div><div class="ttdoc">Get normalization parameters. </div><div class="ttdef"><b>Definition:</b> <a href="_image_tensor_generator_8hpp_source.xhtml#l00039">ImageTensorGenerator.hpp:39</a></div></div> +<div class="ttc" id="classarmnn_1_1_exception_xhtml_abf843cbb29dec939d0731e491bab6f70"><div class="ttname"><a href="classarmnn_1_1_exception.xhtml#abf843cbb29dec939d0731e491bab6f70">armnn::Exception::what</a></div><div class="ttdeci">virtual const char * what() const noexcept override</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8cpp_source.xhtml#l00032">Exceptions.cpp:32</a></div></div> +<div class="ttc" id="_logging_8hpp_xhtml_a7b6ad073975f437ec38ca7d20154727f"><div class="ttname"><a href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a></div><div class="ttdeci">#define ARMNN_LOG(severity)</div><div class="ttdef"><b>Definition:</b> <a href="_logging_8hpp_source.xhtml#l00163">Logging.hpp:163</a></div></div> +<div class="ttc" id="_image_tensor_generator_8hpp_xhtml_a292c4c49fc943bfcb7ee1ce1435d4690"><div class="ttname"><a href="_image_tensor_generator_8hpp.xhtml#a292c4c49fc943bfcb7ee1ce1435d4690">WriteImageTensorImpl</a></div><div class="ttdeci">void WriteImageTensorImpl(const std::vector< ElemType > &imageData, std::ofstream &imageTensorFile)</div><div class="ttdoc">Write image tensor to ofstream. </div><div class="ttdef"><b>Definition:</b> <a href="_image_tensor_generator_8hpp_source.xhtml#l00172">ImageTensorGenerator.hpp:172</a></div></div> +<div class="ttc" id="_image_tensor_generator_8hpp_xhtml_ac372cd2b257f33f29999217e1d2d8a37"><div class="ttname"><a href="_image_tensor_generator_8hpp.xhtml#ac372cd2b257f33f29999217e1d2d8a37">PrepareImageTensor< uint8_t ></a></div><div class="ttdeci">std::vector< uint8_t > PrepareImageTensor< uint8_t >(const std::string &imagePath, unsigned int newWidth, unsigned int newHeight, const NormalizationParameters &normParams, unsigned int batchSize, const armnn::DataLayout &outputLayout)</div><div class="ttdef"><b>Definition:</b> <a href="_image_tensor_generator_8hpp_source.xhtml#l00148">ImageTensorGenerator.hpp:148</a></div></div> +<div class="ttc" id="_model_accuracy_checker_test_8cpp_xhtml_a9eb69ebdaf4ceb8014e7c8a540266100"><div class="ttname"><a href="_model_accuracy_checker_test_8cpp.xhtml#a9eb69ebdaf4ceb8014e7c8a540266100">TContainer</a></div><div class="ttdeci">boost::variant< std::vector< float >, std::vector< int >, std::vector< unsigned char > > TContainer</div><div class="ttdef"><b>Definition:</b> <a href="_model_accuracy_checker_test_8cpp_source.xhtml#l00059">ModelAccuracyCheckerTest.cpp:59</a></div></div> +<div class="ttc" id="class_inference_test_image_exception_xhtml"><div class="ttname"><a href="class_inference_test_image_exception.xhtml">InferenceTestImageException</a></div><div class="ttdef"><b>Definition:</b> <a href="_inference_test_image_8hpp_source.xhtml#l00015">InferenceTestImage.hpp:15</a></div></div> +<div class="ttc" id="struct_normalization_parameters_xhtml"><div class="ttname"><a href="struct_normalization_parameters.xhtml">NormalizationParameters</a></div><div class="ttdef"><b>Definition:</b> <a href="_image_tensor_generator_8hpp_source.xhtml#l00018">ImageTensorGenerator.hpp:18</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00032">Types.hpp:32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +<div class="ttc" id="_image_tensor_generator_8hpp_xhtml_ac1e8e68c74e5d1c8fd19a91a68de3cb7"><div class="ttname"><a href="_image_tensor_generator_8hpp.xhtml#ac1e8e68c74e5d1c8fd19a91a68de3cb7">PrepareImageTensor< int ></a></div><div class="ttdeci">std::vector< int > PrepareImageTensor< int >(const std::string &imagePath, unsigned int newWidth, unsigned int newHeight, const NormalizationParameters &normParams, unsigned int batchSize, const armnn::DataLayout &outputLayout)</div><div class="ttdef"><b>Definition:</b> <a href="_image_tensor_generator_8hpp_source.xhtml#l00128">ImageTensorGenerator.hpp:128</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="_image_tensor_generator_8hpp_xhtml_a7599848540a5f43e977119c054b3563e"><div class="ttname"><a href="_image_tensor_generator_8hpp.xhtml#a7599848540a5f43e977119c054b3563e">SupportedFrontend</a></div><div class="ttdeci">SupportedFrontend</div><div class="ttdef"><b>Definition:</b> <a href="_image_tensor_generator_8hpp_source.xhtml#l00025">ImageTensorGenerator.hpp:25</a></div></div> +<div class="ttc" id="_image_tensor_generator_8hpp_xhtml_affacfe95f011fce3b897b2745880f82a"><div class="ttname"><a href="_image_tensor_generator_8hpp.xhtml#affacfe95f011fce3b897b2745880f82a">PrepareImageTensor< float ></a></div><div class="ttdeci">std::vector< float > PrepareImageTensor< float >(const std::string &imagePath, unsigned int newWidth, unsigned int newHeight, const NormalizationParameters &normParams, unsigned int batchSize, const armnn::DataLayout &outputLayout)</div><div class="ttdef"><b>Definition:</b> <a href="_image_tensor_generator_8hpp_source.xhtml#l00091">ImageTensorGenerator.hpp:91</a></div></div> +</div><!-- fragment --> +</div> +</div> +</div><!-- contents --> +</div><!-- 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