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| <a href="utils_2_utils_8h.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Copyright (c) 2016-2019 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> * of this software and associated documentation files (the "Software"), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#ifndef __UTILS_UTILS_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#define __UTILS_UTILS_H__</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> </div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="arm__compute_2core_2_helpers_8h.xhtml">arm_compute/core/Helpers.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="_i_tensor_8h.xhtml">arm_compute/core/ITensor.h</a>"</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="arm__compute_2core_2_types_8h.xhtml">arm_compute/core/Types.h</a>"</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include "<a class="code" href="_validate_8h.xhtml">arm_compute/core/Validate.h</a>"</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include "<a class="code" href="_window_8h.xhtml">arm_compute/core/Window.h</a>"</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include "<a class="code" href="runtime_2_tensor_8h.xhtml">arm_compute/runtime/Tensor.h</a>"</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include "libnpy/npy.hpp"</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include "<a class="code" href="_toolchain_support_8h.xhtml">support/ToolchainSupport.h</a>"</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> </div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="preprocessor">#ifdef ARM_COMPUTE_CL</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="preprocessor">#include "<a class="code" href="_open_c_l_8h.xhtml">arm_compute/core/CL/OpenCL.h</a>"</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="preprocessor">#include "<a class="code" href="_c_l_distribution1_d_8h.xhtml">arm_compute/runtime/CL/CLDistribution1D.h</a>"</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="preprocessor">#include "<a class="code" href="_c_l_tensor_8h.xhtml">arm_compute/runtime/CL/CLTensor.h</a>"</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="preprocessor">#endif </span><span class="comment">/* ARM_COMPUTE_CL */</span><span class="preprocessor"></span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="preprocessor">#ifdef ARM_COMPUTE_GC</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="preprocessor">#include "<a class="code" href="_g_c_tensor_8h.xhtml">arm_compute/runtime/GLES_COMPUTE/GCTensor.h</a>"</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="preprocessor">#endif </span><span class="comment">/* ARM_COMPUTE_GC */</span><span class="preprocessor"></span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> </div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="preprocessor">#include <cstdlib></span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="preprocessor">#include <cstring></span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="preprocessor">#include <fstream></span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="preprocessor">#include <iostream></span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="preprocessor">#include <random></span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="preprocessor">#include <string></span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="preprocessor">#include <tuple></span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="preprocessor">#include <vector></span></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> <span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> {</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="keyword">namespace </span>utils</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> {</div><div class="line"><a name="l00059"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1utils.xhtml#a3154c405c975616503bac23f51b78fc0"> 59</a></span> <span class="keyword">enum class</span> <a class="code" href="namespacearm__compute_1_1utils.xhtml#a3154c405c975616503bac23f51b78fc0">ImageType</a></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> {</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <a class="code" href="namespacearm__compute_1_1utils.xhtml#a3154c405c975616503bac23f51b78fc0a696b031073e74bf2cb98e5ef201d4aa3">UNKNOWN</a>,</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <a class="code" href="namespacearm__compute_1_1utils.xhtml#a3154c405c975616503bac23f51b78fc0a4bb1ebdeeb70354069bc644b9c94ee5f">PPM</a>,</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <a class="code" href="namespacearm__compute_1_1utils.xhtml#a3154c405c975616503bac23f51b78fc0a907e06a16862d82ca6907a28a68d0ad6">JPEG</a></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> };</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> </div><div class="line"><a name="l00070"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_example.xhtml"> 70</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1utils_1_1_example.xhtml">Example</a></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> {</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00080"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_example.xhtml#ae678db013a8393ad2799a7de8b2b9304"> 80</a></span>  <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarm__compute_1_1utils_1_1_example.xhtml#ae678db013a8393ad2799a7de8b2b9304">do_setup</a>(<span class="keywordtype">int</span> argc, <span class="keywordtype">char</span> **argv)</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  {</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  };</div><div class="line"><a name="l00085"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_example.xhtml#a90b4bc2c4bae857bc3536f4a18e29772"> 85</a></span>  <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1utils_1_1_example.xhtml#a90b4bc2c4bae857bc3536f4a18e29772">do_run</a>() {};</div><div class="line"><a name="l00087"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_example.xhtml#a9b3acd6be09cf86066760caaa89f7be5"> 87</a></span>  <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1utils_1_1_example.xhtml#a9b3acd6be09cf86066760caaa89f7be5">do_teardown</a>() {};</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> </div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keyword">virtual</span> <a class="code" href="classarm__compute_1_1utils_1_1_example.xhtml#afeec4c960afa54ec7a45c519ad87cf2b">~Example</a>() = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> };</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> </div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1utils.xhtml#a8249d4be92399495c0d3c9a5004aeb40">run_example</a>(<span class="keywordtype">int</span> argc, <span class="keywordtype">char</span> **argv, std::unique_ptr<Example> example);</div><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">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00102"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1utils.xhtml#ac6126fda74b244d4c9a75328a3f436a3"> 102</a></span> <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1utils.xhtml#a8249d4be92399495c0d3c9a5004aeb40">run_example</a>(<span class="keywordtype">int</span> argc, <span class="keywordtype">char</span> **argv)</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> {</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1utils.xhtml#a8249d4be92399495c0d3c9a5004aeb40">run_example</a>(argc, argv, support::cpp14::make_unique<T>());</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> </div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1utils.xhtml#ad1b5373f466a3945e1f0ef1c9943c357">draw_detection_rectangle</a>(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">arm_compute::ITensor</a> *tensor, <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_detection_window.xhtml">arm_compute::DetectionWindow</a> &rect, uint8_t r, uint8_t g, uint8_t <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>);</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> </div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> <a class="code" href="namespacearm__compute_1_1utils.xhtml#a3154c405c975616503bac23f51b78fc0">ImageType</a> <a class="code" href="namespacearm__compute_1_1utils.xhtml#a779702024b509e6797b2d526d382cf65">get_image_type_from_file</a>(<span class="keyword">const</span> std::string &filename);</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> </div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> std::tuple<unsigned int, unsigned int, int> <a class="code" href="namespacearm__compute_1_1utils.xhtml#a3aa8f5f1b94f88fdf5b43a53e29379cf">parse_ppm_header</a>(std::ifstream &fs);</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span> </div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span> std::tuple<std::vector<unsigned long>, bool, std::string> <a class="code" href="namespacearm__compute_1_1utils.xhtml#acdab4f47904c52221c85cc80f408f183">parse_npy_header</a>(std::ifstream &fs);</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span> </div><div class="line"><a name="l00149"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1utils.xhtml#a7990fd2b875e2f6d4c1eded54539cb19"> 149</a></span> <span class="keyword">inline</span> std::string <a class="code" href="namespacearm__compute_1_1utils.xhtml#a7990fd2b875e2f6d4c1eded54539cb19">get_typestring</a>(<a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5f5b6c4337eac9e2e0046ca2304d80dc">data_type</a>)</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> {</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="comment">// Check endianness</span></div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 1;</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="keyword">const</span> <span class="keywordtype">char</span> *c = reinterpret_cast<const char *>(&i);</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  std::string endianness;</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="keywordflow">if</span>(*c == 1)</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  {</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  endianness = std::string(<span class="stringliteral">"<"</span>);</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  }</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  {</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  endianness = std::string(<span class="stringliteral">">"</span>);</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  }</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="keyword">const</span> std::string no_endianness(<span class="stringliteral">"|"</span>);</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span> </div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="keywordflow">switch</span>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5f5b6c4337eac9e2e0046ca2304d80dc">data_type</a>)</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  {</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>:</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>:</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <span class="keywordflow">return</span> no_endianness + <span class="stringliteral">"u"</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(<span class="keyword">sizeof</span>(uint8_t));</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6aafb0fced528eaac5fe170b763cda5975">DataType::S8</a>:</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a5f007421a4becd11c0666c2058b0b36c">DataType::QSYMM8</a>:</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a34f500e941c4df30b870126ec868ebd5">DataType::QSYMM8_PER_CHANNEL</a>:</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keywordflow">return</span> no_endianness + <span class="stringliteral">"i"</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(<span class="keyword">sizeof</span>(int8_t));</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aef9ef3ebca4d2b64b6ec83808bafa5f2">DataType::U16</a>:</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="keywordflow">return</span> endianness + <span class="stringliteral">"u"</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(<span class="keyword">sizeof</span>(uint16_t));</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">DataType::S16</a>:</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a3ca8a4ea8f992df3b462bc7b24d097c6">DataType::QSYMM16</a>:</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="keywordflow">return</span> endianness + <span class="stringliteral">"i"</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(<span class="keyword">sizeof</span>(int16_t));</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee">DataType::U32</a>:</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="keywordflow">return</span> endianness + <span class="stringliteral">"u"</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(<span class="keyword">sizeof</span>(uint32_t));</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a>:</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="keywordflow">return</span> endianness + <span class="stringliteral">"i"</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(<span class="keyword">sizeof</span>(int32_t));</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a31d65cccd6593e4101db93fb878abcaa">DataType::U64</a>:</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="keywordflow">return</span> endianness + <span class="stringliteral">"u"</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(<span class="keyword">sizeof</span>(uint64_t));</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a115dca124dc6423c7a400b8a8a0270cc">DataType::S64</a>:</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <span class="keywordflow">return</span> endianness + <span class="stringliteral">"i"</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(<span class="keyword">sizeof</span>(int64_t));</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>:</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <span class="keywordflow">return</span> endianness + <span class="stringliteral">"f"</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(<span class="keyword">sizeof</span>(<a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a>));</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>:</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <span class="keywordflow">return</span> endianness + <span class="stringliteral">"f"</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(<span class="keyword">sizeof</span>(<span class="keywordtype">float</span>));</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a1ad5f6f3069070ec4cbbdc94d5e61e0e">DataType::F64</a>:</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="keywordflow">return</span> endianness + <span class="stringliteral">"f"</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(<span class="keyword">sizeof</span>(<span class="keywordtype">double</span>));</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6abd7ef6d4f35bc7d05c559b65032f15d1">DataType::SIZET</a>:</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <span class="keywordflow">return</span> endianness + <span class="stringliteral">"u"</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(<span class="keyword">sizeof</span>(<span class="keywordtype">size_t</span>));</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <a class="code" href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"Data type not supported"</span>);</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  }</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span> }</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span> </div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00206"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1utils.xhtml#a9c3303817ba653b5d1e78efb88d02bcf"> 206</a></span> <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1utils.xhtml#a9c3303817ba653b5d1e78efb88d02bcf">map</a>(T &tensor, <span class="keywordtype">bool</span> blocking)</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span> {</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(tensor);</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(blocking);</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span> }</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span> </div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00217"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1utils.xhtml#a4ff2134cb88cb5a27120cddb98b59774"> 217</a></span> <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1utils.xhtml#a4ff2134cb88cb5a27120cddb98b59774">unmap</a>(T &tensor)</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span> {</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(tensor);</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span> }</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span> </div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span> <span class="preprocessor">#ifdef ARM_COMPUTE_CL</span></div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span> </div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span> <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1utils.xhtml#a9c3303817ba653b5d1e78efb88d02bcf">map</a>(<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> &tensor, <span class="keywordtype">bool</span> blocking)</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span> {</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  tensor.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a14c53d2d17be6fa8a2c9861527c7b002">map</a>(blocking);</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span> }</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span> </div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span> <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1utils.xhtml#a4ff2134cb88cb5a27120cddb98b59774">unmap</a>(CLTensor &tensor)</div><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>  tensor.unmap();</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span> }</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span> </div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span> <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1utils.xhtml#a9c3303817ba653b5d1e78efb88d02bcf">map</a>(CLDistribution1D &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a756aeab6b5c217b924c3cc70222c975d">distribution</a>, <span class="keywordtype">bool</span> blocking)</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>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a756aeab6b5c217b924c3cc70222c975d">distribution</a>.map(blocking);</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span> }</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span> </div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span> <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1utils.xhtml#a4ff2134cb88cb5a27120cddb98b59774">unmap</a>(CLDistribution1D &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a756aeab6b5c217b924c3cc70222c975d">distribution</a>)</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span> {</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a756aeab6b5c217b924c3cc70222c975d">distribution</a>.unmap();</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span> }</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span> <span class="preprocessor">#endif </span><span class="comment">/* ARM_COMPUTE_CL */</span><span class="preprocessor"></span></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> <span class="preprocessor">#ifdef ARM_COMPUTE_GC</span></div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span> </div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span> <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1utils.xhtml#a9c3303817ba653b5d1e78efb88d02bcf">map</a>(GCTensor &tensor, <span class="keywordtype">bool</span> blocking)</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span> {</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  tensor.map(blocking);</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span> }</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span> </div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span> <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1utils.xhtml#a4ff2134cb88cb5a27120cddb98b59774">unmap</a>(GCTensor &tensor)</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span> {</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  tensor.unmap();</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> <span class="preprocessor">#endif </span><span class="comment">/* ARM_COMPUTE_GC */</span><span class="preprocessor"></span></div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span> </div><div class="line"><a name="l00287"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1uniform__real__distribution__fp16.xhtml"> 287</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1utils_1_1uniform__real__distribution__fp16.xhtml">uniform_real_distribution_fp16</a></div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span> {</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> min{ 0.0f }, max{ 0.0f };</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  std::uniform_real_distribution<float> neg{ min, -0.3f };</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  std::uniform_real_distribution<float> pos{ 0.3f, max };</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  std::uniform_int_distribution<uint8_t> sign_picker{ 0, 1 };</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> <span class="keyword">public</span>:</div><div class="line"><a name="l00295"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1uniform__real__distribution__fp16.xhtml#a370281b50a22dc51ccbeab7e2603bd7b"> 295</a></span>  <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1utils_1_1uniform__real__distribution__fp16.xhtml#a370281b50a22dc51ccbeab7e2603bd7b">result_type</a> = <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a>;</div><div class="line"><a name="l00301"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1uniform__real__distribution__fp16.xhtml#acc0b853821f59848e72982fd33b3c311"> 301</a></span>  <span class="keyword">explicit</span> <a class="code" href="classarm__compute_1_1utils_1_1uniform__real__distribution__fp16.xhtml#acc0b853821f59848e72982fd33b3c311">uniform_real_distribution_fp16</a>(<a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> a = <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a>(0.0), <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a> = <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a>(1.0))</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  : min(a), max(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>)</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>  }</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span> </div><div class="line"><a name="l00310"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1uniform__real__distribution__fp16.xhtml#a8ff8dbf99225689e83f09a8e4732635c"> 310</a></span>  <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> <a class="code" href="classarm__compute_1_1utils_1_1uniform__real__distribution__fp16.xhtml#a8ff8dbf99225689e83f09a8e4732635c">operator()</a>(std::mt19937 &gen)</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">if</span>(sign_picker(gen))</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  {</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <span class="keywordflow">return</span> (<a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a>)neg(gen);</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  }</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  <span class="keywordflow">return</span> (<a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a>)pos(gen);</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  }</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span> };</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span> </div><div class="line"><a name="l00321"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml"> 321</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml">NPYLoader</a></div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span> {</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00325"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a59ac86360353fd935c6979105da7aefa"> 325</a></span>  <a class="code" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a59ac86360353fd935c6979105da7aefa">NPYLoader</a>()</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  : _fs(), _shape(), _fortran_order(false), _typestring(), _file_layout(<a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::<a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">NCHW</a>)</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  {</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  }</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span> </div><div class="line"><a name="l00335"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a739fd000f9e30bbc875cb48a9c6edab1"> 335</a></span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a739fd000f9e30bbc875cb48a9c6edab1">open</a>(<span class="keyword">const</span> std::string &npy_filename, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> file_layout = <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>)</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  {</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(<a class="code" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a2f57f54d8c03b615bb31eee091d8a88a">is_open</a>());</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  <span class="keywordflow">try</span></div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  {</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  _fs.open(npy_filename, std::ios::in | std::ios::binary);</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  <a class="code" href="_error_8h.xhtml#ad39a3601153da57978bb5124ace35d36">ARM_COMPUTE_EXIT_ON_MSG</a>(!_fs.good(), <span class="stringliteral">"Failed to load binary data from %s"</span>, npy_filename.c_str());</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  _fs.exceptions(std::ifstream::failbit | std::ifstream::badbit);</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  _file_layout = file_layout;</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span> </div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  std::tie(_shape, _fortran_order, _typestring) = <a class="code" href="namespacearm__compute_1_1utils.xhtml#acdab4f47904c52221c85cc80f408f183">parse_npy_header</a>(_fs);</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  }</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <span class="keywordflow">catch</span>(<span class="keyword">const</span> std::ifstream::failure &e)</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  {</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  <a class="code" href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"Accessing %s: %s"</span>, npy_filename.c_str(), e.what());</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  }</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  }</div><div class="line"><a name="l00353"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a2f57f54d8c03b615bb31eee091d8a88a"> 353</a></span>  <span class="keywordtype">bool</span> <a class="code" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a2f57f54d8c03b615bb31eee091d8a88a">is_open</a>()</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  {</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  <span class="keywordflow">return</span> _fs.is_open();</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  }</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span> </div><div class="line"><a name="l00359"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a8aa067630bcfd267bf3389ae27e70e76"> 359</a></span>  <span class="keywordtype">bool</span> <a class="code" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a8aa067630bcfd267bf3389ae27e70e76">is_fortran</a>()</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  {</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <span class="keywordflow">return</span> _fortran_order;</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  }</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span> </div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00370"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a6e3c7f7584c89bfed519597f40c08528"> 370</a></span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a6e3c7f7584c89bfed519597f40c08528">init_tensor</a>(T &tensor, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">arm_compute::DataType</a> dt)</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  {</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(!<a class="code" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a2f57f54d8c03b615bb31eee091d8a88a">is_open</a>());</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(dt != <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::DataType::F32</a>);</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span> </div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  <span class="comment">// Use the size of the input NPY tensor</span></div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>;</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>.set_num_dimensions(_shape.size());</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 0; i < _shape.size(); ++i)</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  {</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  <span class="keywordtype">size_t</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a> = i;</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  <span class="keywordflow">if</span>(_fortran_order)</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  {</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a> = _shape.size() - 1 - i;</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  }</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>.set(i, _shape.at(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>));</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  }</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span> </div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">arm_compute::TensorInfo</a> tensor_info(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>, 1, dt);</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  tensor.allocator()->init(tensor_info);</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  }</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span> </div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00399"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a055a51a536088065021a54e13968521d"> 399</a></span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a055a51a536088065021a54e13968521d">fill_tensor</a>(T &tensor)</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  {</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(!<a class="code" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a2f57f54d8c03b615bb31eee091d8a88a">is_open</a>());</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  <a class="code" href="_validate_8h.xhtml#a4264d7e3318c4188e48127a75f3f0f8a">ARM_COMPUTE_ERROR_ON_DATA_TYPE_NOT_IN</a>(&tensor, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">arm_compute::DataType::QASYMM8</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">arm_compute::DataType::S32</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::DataType::F32</a>);</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  <span class="keywordflow">try</span></div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  {</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  <span class="comment">// Map buffer if creating a CLTensor</span></div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  <a class="code" href="namespacearm__compute_1_1utils.xhtml#a9c3303817ba653b5d1e78efb88d02bcf">map</a>(tensor, <span class="keyword">true</span>);</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span> </div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  <span class="comment">// Check if the file is large enough to fill the tensor</span></div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> current_position = _fs.tellg();</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  _fs.seekg(0, std::ios_base::end);</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> end_position = _fs.tellg();</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  _fs.seekg(current_position, std::ios_base::beg);</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span> </div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  <a class="code" href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>((end_position - current_position) < tensor.info()->tensor_shape().total_size() * tensor.info()->element_size(),</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  <span class="stringliteral">"Not enough data in file"</span>);</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(end_position);</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span> </div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  <span class="comment">// Check if the typestring matches the given one</span></div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  std::string expect_typestr = <a class="code" href="namespacearm__compute_1_1utils.xhtml#a7990fd2b875e2f6d4c1eded54539cb19">get_typestring</a>(tensor.info()->data_type());</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  <a class="code" href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>(_typestring != expect_typestr, <span class="stringliteral">"Typestrings mismatch"</span>);</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span> </div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  <span class="keywordtype">bool</span> are_layouts_different = (_file_layout != tensor.info()->data_layout());</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  <span class="comment">// Correct dimensions (Needs to match TensorShape dimension corrections)</span></div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  <span class="keywordflow">if</span>(_shape.size() != tensor.info()->tensor_shape().num_dimensions())</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  {</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> i = static_cast<int>(_shape.size()) - 1; i > 0; --i)</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  {</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  <span class="keywordflow">if</span>(_shape[i] == 1)</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  {</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  _shape.pop_back();</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  }</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  {</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  }</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  }</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  }</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span> </div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> permuted_shape = tensor.info()->tensor_shape();</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  <a class="code" href="classarm__compute_1_1_strides.xhtml">arm_compute::PermutationVector</a> perm;</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  <span class="keywordflow">if</span>(are_layouts_different && tensor.info()->tensor_shape().num_dimensions() > 2)</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  {</div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  perm = (tensor.info()->data_layout() == <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">arm_compute::DataLayout::NHWC</a>) ? <a class="code" href="classarm__compute_1_1_strides.xhtml">arm_compute::PermutationVector</a>(2U, 0U, 1U) : <a class="code" href="namespacearm__compute.xhtml#a33e65be485104e2e9e69fca551d6f492">arm_compute::PermutationVector</a>(1U, 2U, 0U);</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  <a class="code" href="classarm__compute_1_1_strides.xhtml">arm_compute::PermutationVector</a> perm_vec = (tensor.info()->data_layout() == <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">arm_compute::DataLayout::NCHW</a>) ? <a class="code" href="classarm__compute_1_1_strides.xhtml">arm_compute::PermutationVector</a>(2U, 0U, 1U) : <a class="code" href="namespacearm__compute.xhtml#a33e65be485104e2e9e69fca551d6f492">arm_compute::PermutationVector</a>(1U, 2U, 0U);</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span> </div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  <a class="code" href="namespacearm__compute.xhtml#a21c3e11887f3acf9284ca763372c7da0">arm_compute::permute</a>(permuted_shape, perm_vec);</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  }</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span> </div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  <span class="comment">// Validate tensor shape</span></div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  <a class="code" href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>(_shape.size() != tensor.info()->tensor_shape().num_dimensions(), <span class="stringliteral">"Tensor ranks mismatch"</span>);</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 0; i < _shape.size(); ++i)</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  {</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  <a class="code" href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>(permuted_shape[i] != _shape[i], <span class="stringliteral">"Tensor dimensions mismatch"</span>);</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  }</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span> </div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  <span class="keywordflow">switch</span>(tensor.info()->data_type())</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  {</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">arm_compute::DataType::QASYMM8</a>:</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">arm_compute::DataType::S32</a>:</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::DataType::F32</a>:</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">arm_compute::DataType::F16</a>:</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  {</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  <span class="comment">// Read data</span></div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  <span class="keywordflow">if</span>(!are_layouts_different && !_fortran_order && tensor.info()->padding().empty())</div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  {</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  <span class="comment">// If tensor has no padding read directly from stream.</span></div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  _fs.read(reinterpret_cast<char *>(tensor.buffer()), tensor.info()->total_size());</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  }</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  {</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  <span class="comment">// If tensor has padding or is in fortran order accessing tensor elements through execution window.</span></div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> window;</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_dims = _shape.size();</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  <span class="keywordflow">if</span>(_fortran_order)</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  {</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dim = 0; dim < num_dims; dim++)</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  {</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  permuted_shape.<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#a9c54fb6cea3557692fe7c00c40bb40ad">set</a>(dim, _shape[num_dims - dim - 1]);</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  perm.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a982730e6f0da5f9490f59bc5f6bb3f27">set</a>(dim, num_dims - dim - 1);</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  }</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  <span class="keywordflow">if</span>(are_layouts_different)</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  {</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  <span class="comment">// Permute only if num_dimensions greater than 2</span></div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  <span class="keywordflow">if</span>(num_dims > 2)</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  {</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  <span class="keywordflow">if</span>(_file_layout == <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a>) <span class="comment">// i.e destination is NCHW --> permute(1,2,0)</span></div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  {</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  <a class="code" href="namespacearm__compute.xhtml#a21c3e11887f3acf9284ca763372c7da0">arm_compute::permute</a>(perm, <a class="code" href="classarm__compute_1_1_strides.xhtml">arm_compute::PermutationVector</a>(1U, 2U, 0U));</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  }</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  {</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  <a class="code" href="namespacearm__compute.xhtml#a21c3e11887f3acf9284ca763372c7da0">arm_compute::permute</a>(perm, <a class="code" href="classarm__compute_1_1_strides.xhtml">arm_compute::PermutationVector</a>(2U, 0U, 1U));</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  }</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  }</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  }</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  }</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  window.<a class="code" href="classarm__compute_1_1_window.xhtml#a14470b4cb59140a1b6ff3b8f16c89ab6">use_tensor_dimensions</a>(permuted_shape);</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span> </div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  <a class="code" href="namespacearm__compute.xhtml#a5002bf7ec46d52971f9526e94172cfee">execute_window_loop</a>(window, [&](<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> & <span class="keywordtype">id</span>)</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  {</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>(<span class="keywordtype">id</span>);</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  <a class="code" href="namespacearm__compute.xhtml#a21c3e11887f3acf9284ca763372c7da0">arm_compute::permute</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>, perm);</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  _fs.read(reinterpret_cast<char *>(tensor.ptr_to_element(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>)), tensor.info()->element_size());</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  });</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  }</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span> </div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  }</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  <a class="code" href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"Unsupported data type"</span>);</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  }</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span> </div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  <span class="comment">// Unmap buffer if creating a CLTensor</span></div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  <a class="code" href="namespacearm__compute_1_1utils.xhtml#a4ff2134cb88cb5a27120cddb98b59774">unmap</a>(tensor);</div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  }</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  <span class="keywordflow">catch</span>(<span class="keyword">const</span> std::ifstream::failure &e)</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  {</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  <a class="code" href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"Loading NPY file: %s"</span>, e.what());</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  }</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  }</div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span> </div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  std::ifstream _fs;</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  std::vector<unsigned long> _shape;</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  <span class="keywordtype">bool</span> _fortran_order;</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  std::string _typestring;</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> _file_layout;</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span> };</div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span> </div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00540"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1utils.xhtml#a301d0b7bfd70f73fc1924f4281938d08"> 540</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1utils.xhtml#a301d0b7bfd70f73fc1924f4281938d08">save_to_ppm</a>(T &tensor, <span class="keyword">const</span> std::string &ppm_filename)</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span> {</div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  <a class="code" href="_validate_8h.xhtml#a0d34a8aa07600727e4e5034c7cdad47d">ARM_COMPUTE_ERROR_ON_FORMAT_NOT_IN</a>(&tensor, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0">arm_compute::Format::RGB888</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">arm_compute::Format::U8</a>);</div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(tensor.info()->num_dimensions() > 2);</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span> </div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  std::ofstream fs;</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span> </div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  <span class="keywordflow">try</span></div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  {</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  fs.exceptions(std::ofstream::failbit | std::ofstream::badbit | std::ofstream::eofbit);</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  fs.open(ppm_filename, std::ios::out | std::ios::binary);</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span> </div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> width = tensor.info()->tensor_shape()[0];</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> height = tensor.info()->tensor_shape()[1];</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span> </div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  fs << <span class="stringliteral">"P6\n"</span></div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  << width << <span class="stringliteral">" "</span> << height << <span class="stringliteral">" 255\n"</span>;</div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span> </div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  <span class="comment">// Map buffer if creating a CLTensor/GCTensor</span></div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  <a class="code" href="namespacearm__compute_1_1utils.xhtml#a9c3303817ba653b5d1e78efb88d02bcf">map</a>(tensor, <span class="keyword">true</span>);</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span> </div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  <span class="keywordflow">switch</span>(tensor.info()->format())</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  {</div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">arm_compute::Format::U8</a>:</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  {</div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  <a class="code" href="classarm__compute_1_1_window.xhtml">arm_compute::Window</a> window;</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  window.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">arm_compute::Window::DimX</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">arm_compute::Window::Dimension</a>(0, width, 1));</div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  window.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#ad2d402364fa822b0b7775081291eeca9">arm_compute::Window::DimY</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">arm_compute::Window::Dimension</a>(0, height, 1));</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span> </div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  <a class="code" href="classarm__compute_1_1_iterator.xhtml">arm_compute::Iterator</a> in(&tensor, window);</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span> </div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  <a class="code" href="namespacearm__compute.xhtml#a5002bf7ec46d52971f9526e94172cfee">arm_compute::execute_window_loop</a>(window, [&](<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">arm_compute::Coordinates</a> & <span class="keywordtype">id</span>)</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  {</div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">char</span> value = *in.<a class="code" href="classarm__compute_1_1_iterator.xhtml#ab260e292b1df3944bc1d55a9b2301e41">ptr</a>();</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span> </div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  fs << value << value << value;</div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  },</div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  in);</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span> </div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  }</div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0">arm_compute::Format::RGB888</a>:</div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  {</div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  <a class="code" href="classarm__compute_1_1_window.xhtml">arm_compute::Window</a> window;</div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  window.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">arm_compute::Window::DimX</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">arm_compute::Window::Dimension</a>(0, width, width));</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  window.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#ad2d402364fa822b0b7775081291eeca9">arm_compute::Window::DimY</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">arm_compute::Window::Dimension</a>(0, height, 1));</div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span> </div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  <a class="code" href="classarm__compute_1_1_iterator.xhtml">arm_compute::Iterator</a> in(&tensor, window);</div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span> </div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  <a class="code" href="namespacearm__compute.xhtml#a5002bf7ec46d52971f9526e94172cfee">arm_compute::execute_window_loop</a>(window, [&](<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">arm_compute::Coordinates</a> & <span class="keywordtype">id</span>)</div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  {</div><div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  fs.write(reinterpret_cast<std::fstream::char_type *>(in.<a class="code" href="classarm__compute_1_1_iterator.xhtml#ab260e292b1df3944bc1d55a9b2301e41">ptr</a>()), width * tensor.info()->element_size());</div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span>  },</div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  in);</div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span> </div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  }</div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  <a class="code" href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"Unsupported format"</span>);</div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  }</div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span> </div><div class="line"><a name="l00601"></a><span class="lineno"> 601</span>  <span class="comment">// Unmap buffer if creating a CLTensor/GCTensor</span></div><div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  <a class="code" href="namespacearm__compute_1_1utils.xhtml#a4ff2134cb88cb5a27120cddb98b59774">unmap</a>(tensor);</div><div class="line"><a name="l00603"></a><span class="lineno"> 603</span>  }</div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  <span class="keywordflow">catch</span>(<span class="keyword">const</span> std::ofstream::failure &e)</div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  {</div><div class="line"><a name="l00606"></a><span class="lineno"> 606</span>  <a class="code" href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"Writing %s: (%s)"</span>, ppm_filename.c_str(), e.what());</div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span>  }</div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span> }</div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span> </div><div class="line"><a name="l00619"></a><span class="lineno"> 619</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T, <span class="keyword">typename</span> U = <span class="keywordtype">float</span>></div><div class="line"><a name="l00620"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1utils.xhtml#a48c0efb64637ab6e965b32d7c683efe9"> 620</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1utils.xhtml#a48c0efb64637ab6e965b32d7c683efe9">save_to_npy</a>(T &tensor, <span class="keyword">const</span> std::string &npy_filename, <span class="keywordtype">bool</span> fortran_order)</div><div class="line"><a name="l00621"></a><span class="lineno"> 621</span> {</div><div class="line"><a name="l00622"></a><span class="lineno"> 622</span>  <a class="code" href="_validate_8h.xhtml#a4264d7e3318c4188e48127a75f3f0f8a">ARM_COMPUTE_ERROR_ON_DATA_TYPE_NOT_IN</a>(&tensor, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::DataType::F32</a>, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">arm_compute::DataType::QASYMM8</a>);</div><div class="line"><a name="l00623"></a><span class="lineno"> 623</span> </div><div class="line"><a name="l00624"></a><span class="lineno"> 624</span>  std::ofstream fs;</div><div class="line"><a name="l00625"></a><span class="lineno"> 625</span>  <span class="keywordflow">try</span></div><div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  {</div><div class="line"><a name="l00627"></a><span class="lineno"> 627</span>  fs.exceptions(std::ofstream::failbit | std::ofstream::badbit | std::ofstream::eofbit);</div><div class="line"><a name="l00628"></a><span class="lineno"> 628</span>  fs.open(npy_filename, std::ios::out | std::ios::binary);</div><div class="line"><a name="l00629"></a><span class="lineno"> 629</span> </div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  std::vector<npy::ndarray_len_t> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>(tensor.info()->num_dimensions());</div><div class="line"><a name="l00631"></a><span class="lineno"> 631</span> </div><div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0, j = tensor.info()->num_dimensions() - 1; i < tensor.info()->num_dimensions(); ++i, --j)</div><div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  {</div><div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>[i] = tensor.info()->tensor_shape()[!fortran_order ? j : i];</div><div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  }</div><div class="line"><a name="l00636"></a><span class="lineno"> 636</span> </div><div class="line"><a name="l00637"></a><span class="lineno"> 637</span>  <span class="comment">// Map buffer if creating a CLTensor</span></div><div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  <a class="code" href="namespacearm__compute_1_1utils.xhtml#a9c3303817ba653b5d1e78efb88d02bcf">map</a>(tensor, <span class="keyword">true</span>);</div><div class="line"><a name="l00639"></a><span class="lineno"> 639</span> </div><div class="line"><a name="l00640"></a><span class="lineno"> 640</span>  <span class="keyword">using</span> typestring_type = <span class="keyword">typename</span> std::conditional<std::is_floating_point<U>::value, float, <a class="code" href="namespacearm__compute.xhtml#ab8938bcb3ec0f5f8d93285eb3a28b701">qasymm8_t</a>>::type;</div><div class="line"><a name="l00641"></a><span class="lineno"> 641</span> </div><div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  std::vector<typestring_type> tmp; <span class="comment">/* Used only to get the typestring */</span></div><div class="line"><a name="l00643"></a><span class="lineno"> 643</span>  npy::Typestring typestring_o{ tmp };</div><div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  std::string typestring = typestring_o.str();</div><div class="line"><a name="l00645"></a><span class="lineno"> 645</span> </div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span>  std::ofstream stream(npy_filename, std::ofstream::binary);</div><div class="line"><a name="l00647"></a><span class="lineno"> 647</span>  npy::write_header(stream, typestring, fortran_order, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>);</div><div class="line"><a name="l00648"></a><span class="lineno"> 648</span> </div><div class="line"><a name="l00649"></a><span class="lineno"> 649</span>  <a class="code" href="classarm__compute_1_1_window.xhtml">arm_compute::Window</a> window;</div><div class="line"><a name="l00650"></a><span class="lineno"> 650</span>  window.<a class="code" href="classarm__compute_1_1_window.xhtml#a14470b4cb59140a1b6ff3b8f16c89ab6">use_tensor_dimensions</a>(tensor.info()->tensor_shape());</div><div class="line"><a name="l00651"></a><span class="lineno"> 651</span> </div><div class="line"><a name="l00652"></a><span class="lineno"> 652</span>  <a class="code" href="classarm__compute_1_1_iterator.xhtml">arm_compute::Iterator</a> in(&tensor, window);</div><div class="line"><a name="l00653"></a><span class="lineno"> 653</span> </div><div class="line"><a name="l00654"></a><span class="lineno"> 654</span>  <a class="code" href="namespacearm__compute.xhtml#a5002bf7ec46d52971f9526e94172cfee">arm_compute::execute_window_loop</a>(window, [&](<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">arm_compute::Coordinates</a> & <span class="keywordtype">id</span>)</div><div class="line"><a name="l00655"></a><span class="lineno"> 655</span>  {</div><div class="line"><a name="l00656"></a><span class="lineno"> 656</span>  stream.write(reinterpret_cast<const char *>(in.<a class="code" href="classarm__compute_1_1_iterator.xhtml#ab260e292b1df3944bc1d55a9b2301e41">ptr</a>()), <span class="keyword">sizeof</span>(typestring_type));</div><div class="line"><a name="l00657"></a><span class="lineno"> 657</span>  },</div><div class="line"><a name="l00658"></a><span class="lineno"> 658</span>  in);</div><div class="line"><a name="l00659"></a><span class="lineno"> 659</span> </div><div class="line"><a name="l00660"></a><span class="lineno"> 660</span>  <span class="comment">// Unmap buffer if creating a CLTensor</span></div><div class="line"><a name="l00661"></a><span class="lineno"> 661</span>  <a class="code" href="namespacearm__compute_1_1utils.xhtml#a4ff2134cb88cb5a27120cddb98b59774">unmap</a>(tensor);</div><div class="line"><a name="l00662"></a><span class="lineno"> 662</span>  }</div><div class="line"><a name="l00663"></a><span class="lineno"> 663</span>  <span class="keywordflow">catch</span>(<span class="keyword">const</span> std::ofstream::failure &e)</div><div class="line"><a name="l00664"></a><span class="lineno"> 664</span>  {</div><div class="line"><a name="l00665"></a><span class="lineno"> 665</span>  <a class="code" href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"Writing %s: (%s)"</span>, npy_filename.c_str(), e.what());</div><div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  }</div><div class="line"><a name="l00667"></a><span class="lineno"> 667</span> }</div><div class="line"><a name="l00668"></a><span class="lineno"> 668</span> </div><div class="line"><a name="l00674"></a><span class="lineno"> 674</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00675"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1utils.xhtml#af214346f90d640ac468dd90fa2a275cc"> 675</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1utils.xhtml#af214346f90d640ac468dd90fa2a275cc">load_trained_data</a>(T &tensor, <span class="keyword">const</span> std::string &filename)</div><div class="line"><a name="l00676"></a><span class="lineno"> 676</span> {</div><div class="line"><a name="l00677"></a><span class="lineno"> 677</span>  <a class="code" href="_validate_8h.xhtml#aadf5c9cff86327b96d88d04649d9715e">ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN</a>(&tensor, 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>);</div><div class="line"><a name="l00678"></a><span class="lineno"> 678</span> </div><div class="line"><a name="l00679"></a><span class="lineno"> 679</span>  std::ifstream fs;</div><div class="line"><a name="l00680"></a><span class="lineno"> 680</span> </div><div class="line"><a name="l00681"></a><span class="lineno"> 681</span>  <span class="keywordflow">try</span></div><div class="line"><a name="l00682"></a><span class="lineno"> 682</span>  {</div><div class="line"><a name="l00683"></a><span class="lineno"> 683</span>  fs.exceptions(std::ofstream::failbit | std::ofstream::badbit | std::ofstream::eofbit);</div><div class="line"><a name="l00684"></a><span class="lineno"> 684</span>  <span class="comment">// Open file</span></div><div class="line"><a name="l00685"></a><span class="lineno"> 685</span>  fs.open(filename, std::ios::in | std::ios::binary);</div><div class="line"><a name="l00686"></a><span class="lineno"> 686</span> </div><div class="line"><a name="l00687"></a><span class="lineno"> 687</span>  <span class="keywordflow">if</span>(!fs.good())</div><div class="line"><a name="l00688"></a><span class="lineno"> 688</span>  {</div><div class="line"><a name="l00689"></a><span class="lineno"> 689</span>  <span class="keywordflow">throw</span> std::runtime_error(<span class="stringliteral">"Could not load binary data: "</span> + filename);</div><div class="line"><a name="l00690"></a><span class="lineno"> 690</span>  }</div><div class="line"><a name="l00691"></a><span class="lineno"> 691</span> </div><div class="line"><a name="l00692"></a><span class="lineno"> 692</span>  <span class="comment">// Map buffer if creating a CLTensor/GCTensor</span></div><div class="line"><a name="l00693"></a><span class="lineno"> 693</span>  <a class="code" href="namespacearm__compute_1_1utils.xhtml#a9c3303817ba653b5d1e78efb88d02bcf">map</a>(tensor, <span class="keyword">true</span>);</div><div class="line"><a name="l00694"></a><span class="lineno"> 694</span> </div><div class="line"><a name="l00695"></a><span class="lineno"> 695</span>  <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> window;</div><div class="line"><a name="l00696"></a><span class="lineno"> 696</span> </div><div class="line"><a name="l00697"></a><span class="lineno"> 697</span>  window.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">arm_compute::Window::DimX</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">arm_compute::Window::Dimension</a>(0, 1, 1));</div><div class="line"><a name="l00698"></a><span class="lineno"> 698</span> </div><div class="line"><a name="l00699"></a><span class="lineno"> 699</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> d = 1; d < tensor.info()->num_dimensions(); ++d)</div><div class="line"><a name="l00700"></a><span class="lineno"> 700</span>  {</div><div class="line"><a name="l00701"></a><span class="lineno"> 701</span>  window.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(d, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, tensor.info()->tensor_shape()[d], 1));</div><div class="line"><a name="l00702"></a><span class="lineno"> 702</span>  }</div><div class="line"><a name="l00703"></a><span class="lineno"> 703</span> </div><div class="line"><a name="l00704"></a><span class="lineno"> 704</span>  <a class="code" href="classarm__compute_1_1_iterator.xhtml">arm_compute::Iterator</a> in(&tensor, window);</div><div class="line"><a name="l00705"></a><span class="lineno"> 705</span> </div><div class="line"><a name="l00706"></a><span class="lineno"> 706</span>  <a class="code" href="namespacearm__compute.xhtml#a5002bf7ec46d52971f9526e94172cfee">execute_window_loop</a>(window, [&](<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> & <span class="keywordtype">id</span>)</div><div class="line"><a name="l00707"></a><span class="lineno"> 707</span>  {</div><div class="line"><a name="l00708"></a><span class="lineno"> 708</span>  fs.read(reinterpret_cast<std::fstream::char_type *>(in.<a class="code" href="classarm__compute_1_1_iterator.xhtml#ab260e292b1df3944bc1d55a9b2301e41">ptr</a>()), tensor.info()->tensor_shape()[0] * tensor.info()->element_size());</div><div class="line"><a name="l00709"></a><span class="lineno"> 709</span>  },</div><div class="line"><a name="l00710"></a><span class="lineno"> 710</span>  in);</div><div class="line"><a name="l00711"></a><span class="lineno"> 711</span> </div><div class="line"><a name="l00712"></a><span class="lineno"> 712</span>  <span class="comment">// Unmap buffer if creating a CLTensor/GCTensor</span></div><div class="line"><a name="l00713"></a><span class="lineno"> 713</span>  <a class="code" href="namespacearm__compute_1_1utils.xhtml#a4ff2134cb88cb5a27120cddb98b59774">unmap</a>(tensor);</div><div class="line"><a name="l00714"></a><span class="lineno"> 714</span>  }</div><div class="line"><a name="l00715"></a><span class="lineno"> 715</span>  <span class="keywordflow">catch</span>(<span class="keyword">const</span> std::ofstream::failure &e)</div><div class="line"><a name="l00716"></a><span class="lineno"> 716</span>  {</div><div class="line"><a name="l00717"></a><span class="lineno"> 717</span>  <a class="code" href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"Writing %s: (%s)"</span>, filename.c_str(), e.what());</div><div class="line"><a name="l00718"></a><span class="lineno"> 718</span>  }</div><div class="line"><a name="l00719"></a><span class="lineno"> 719</span> }</div><div class="line"><a name="l00720"></a><span class="lineno"> 720</span> </div><div class="line"><a name="l00721"></a><span class="lineno"> 721</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00722"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1utils.xhtml#abe777f4e6d2b0d9964eee32f5ae3fca7"> 722</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1utils.xhtml#abe777f4e6d2b0d9964eee32f5ae3fca7">fill_random_tensor</a>(T &tensor, <span class="keywordtype">float</span> lower_bound, <span class="keywordtype">float</span> upper_bound)</div><div class="line"><a name="l00723"></a><span class="lineno"> 723</span> {</div><div class="line"><a name="l00724"></a><span class="lineno"> 724</span>  std::random_device rd;</div><div class="line"><a name="l00725"></a><span class="lineno"> 725</span>  std::mt19937 gen(rd());</div><div class="line"><a name="l00726"></a><span class="lineno"> 726</span> </div><div class="line"><a name="l00727"></a><span class="lineno"> 727</span>  <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> window;</div><div class="line"><a name="l00728"></a><span class="lineno"> 728</span>  window.<a class="code" href="classarm__compute_1_1_window.xhtml#a14470b4cb59140a1b6ff3b8f16c89ab6">use_tensor_dimensions</a>(tensor.info()->tensor_shape());</div><div class="line"><a name="l00729"></a><span class="lineno"> 729</span> </div><div class="line"><a name="l00730"></a><span class="lineno"> 730</span>  <a class="code" href="namespacearm__compute_1_1utils.xhtml#a9c3303817ba653b5d1e78efb88d02bcf">map</a>(tensor, <span class="keyword">true</span>);</div><div class="line"><a name="l00731"></a><span class="lineno"> 731</span> </div><div class="line"><a name="l00732"></a><span class="lineno"> 732</span>  <a class="code" href="classarm__compute_1_1_iterator.xhtml">Iterator</a> it(&tensor, window);</div><div class="line"><a name="l00733"></a><span class="lineno"> 733</span> </div><div class="line"><a name="l00734"></a><span class="lineno"> 734</span>  <span class="keywordflow">switch</span>(tensor.info()->data_type())</div><div class="line"><a name="l00735"></a><span class="lineno"> 735</span>  {</div><div class="line"><a name="l00736"></a><span class="lineno"> 736</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">arm_compute::DataType::F16</a>:</div><div class="line"><a name="l00737"></a><span class="lineno"> 737</span>  {</div><div class="line"><a name="l00738"></a><span class="lineno"> 738</span>  std::uniform_real_distribution<float> dist(lower_bound, upper_bound);</div><div class="line"><a name="l00739"></a><span class="lineno"> 739</span> </div><div class="line"><a name="l00740"></a><span class="lineno"> 740</span>  <a class="code" href="namespacearm__compute.xhtml#a5002bf7ec46d52971f9526e94172cfee">execute_window_loop</a>(window, [&](<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> & <span class="keywordtype">id</span>)</div><div class="line"><a name="l00741"></a><span class="lineno"> 741</span>  {</div><div class="line"><a name="l00742"></a><span class="lineno"> 742</span>  *reinterpret_cast<half *>(it.<a class="code" href="classarm__compute_1_1_iterator.xhtml#ab260e292b1df3944bc1d55a9b2301e41">ptr</a>()) = (<a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a>)dist(gen);</div><div class="line"><a name="l00743"></a><span class="lineno"> 743</span>  },</div><div class="line"><a name="l00744"></a><span class="lineno"> 744</span>  it);</div><div class="line"><a name="l00745"></a><span class="lineno"> 745</span> </div><div class="line"><a name="l00746"></a><span class="lineno"> 746</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00747"></a><span class="lineno"> 747</span>  }</div><div class="line"><a name="l00748"></a><span class="lineno"> 748</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::DataType::F32</a>:</div><div class="line"><a name="l00749"></a><span class="lineno"> 749</span>  {</div><div class="line"><a name="l00750"></a><span class="lineno"> 750</span>  std::uniform_real_distribution<float> dist(lower_bound, upper_bound);</div><div class="line"><a name="l00751"></a><span class="lineno"> 751</span> </div><div class="line"><a name="l00752"></a><span class="lineno"> 752</span>  <a class="code" href="namespacearm__compute.xhtml#a5002bf7ec46d52971f9526e94172cfee">execute_window_loop</a>(window, [&](<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> & <span class="keywordtype">id</span>)</div><div class="line"><a name="l00753"></a><span class="lineno"> 753</span>  {</div><div class="line"><a name="l00754"></a><span class="lineno"> 754</span>  *reinterpret_cast<float *>(it.<a class="code" href="classarm__compute_1_1_iterator.xhtml#ab260e292b1df3944bc1d55a9b2301e41">ptr</a>()) = dist(gen);</div><div class="line"><a name="l00755"></a><span class="lineno"> 755</span>  },</div><div class="line"><a name="l00756"></a><span class="lineno"> 756</span>  it);</div><div class="line"><a name="l00757"></a><span class="lineno"> 757</span> </div><div class="line"><a name="l00758"></a><span class="lineno"> 758</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00759"></a><span class="lineno"> 759</span>  }</div><div class="line"><a name="l00760"></a><span class="lineno"> 760</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00761"></a><span class="lineno"> 761</span>  {</div><div class="line"><a name="l00762"></a><span class="lineno"> 762</span>  <a class="code" href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"Unsupported format"</span>);</div><div class="line"><a name="l00763"></a><span class="lineno"> 763</span>  }</div><div class="line"><a name="l00764"></a><span class="lineno"> 764</span>  }</div><div class="line"><a name="l00765"></a><span class="lineno"> 765</span> </div><div class="line"><a name="l00766"></a><span class="lineno"> 766</span>  <a class="code" href="namespacearm__compute_1_1utils.xhtml#a4ff2134cb88cb5a27120cddb98b59774">unmap</a>(tensor);</div><div class="line"><a name="l00767"></a><span class="lineno"> 767</span> }</div><div class="line"><a name="l00768"></a><span class="lineno"> 768</span> </div><div class="line"><a name="l00769"></a><span class="lineno"> 769</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00770"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1utils.xhtml#a3ff90da00700526d89a0ee29f85fd804"> 770</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1utils.xhtml#a3ff90da00700526d89a0ee29f85fd804">init_sgemm_output</a>(T &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>, T &src0, T &src1, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">arm_compute::DataType</a> dt)</div><div class="line"><a name="l00771"></a><span class="lineno"> 771</span> {</div><div class="line"><a name="l00772"></a><span class="lineno"> 772</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a4083de30daebd6bdee6b35d9c8262108">allocator</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_allocator.xhtml#af36143939a43fa124312e395975091ed">init</a>(<a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(src1.info()->dimension(0), src0.info()->dimension(1), src0.info()->dimension(2)), 1, dt));</div><div class="line"><a name="l00773"></a><span class="lineno"> 773</span> }</div><div class="line"><a name="l00778"></a><span class="lineno"> 778</span> uint64_t <a class="code" href="namespacearm__compute_1_1utils.xhtml#afb7b08e5c044dba650037628089a4e7c">get_mem_free_from_meminfo</a>();</div><div class="line"><a name="l00779"></a><span class="lineno"> 779</span> </div><div class="line"><a name="l00788"></a><span class="lineno"> 788</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00789"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1utils.xhtml#a4894358ea9a576be19615608a6b8b152"> 789</a></span> <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1utils.xhtml#a4894358ea9a576be19615608a6b8b152">compare_tensor</a>(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> &tensor1, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> &tensor2, T tolerance)</div><div class="line"><a name="l00790"></a><span class="lineno"> 790</span> {</div><div class="line"><a name="l00791"></a><span class="lineno"> 791</span>  <a class="code" href="_validate_8h.xhtml#a5befbfaf6bc224eabc58b5e88b1de6d1">ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES</a>(&tensor1, &tensor2);</div><div class="line"><a name="l00792"></a><span class="lineno"> 792</span>  <a class="code" href="_validate_8h.xhtml#aafce5e9928fac427dcd29d960bcf2ae3">ARM_COMPUTE_ERROR_ON_MISMATCHING_SHAPES</a>(&tensor1, &tensor2);</div><div class="line"><a name="l00793"></a><span class="lineno"> 793</span> </div><div class="line"><a name="l00794"></a><span class="lineno"> 794</span>  <span class="keywordtype">int</span> num_mismatches = 0;</div><div class="line"><a name="l00795"></a><span class="lineno"> 795</span>  <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> window;</div><div class="line"><a name="l00796"></a><span class="lineno"> 796</span>  window.<a class="code" href="classarm__compute_1_1_window.xhtml#a14470b4cb59140a1b6ff3b8f16c89ab6">use_tensor_dimensions</a>(tensor1.<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>());</div><div class="line"><a name="l00797"></a><span class="lineno"> 797</span> </div><div class="line"><a name="l00798"></a><span class="lineno"> 798</span>  <a class="code" href="namespacearm__compute_1_1utils.xhtml#a9c3303817ba653b5d1e78efb88d02bcf">map</a>(tensor1, <span class="keyword">true</span>);</div><div class="line"><a name="l00799"></a><span class="lineno"> 799</span>  <a class="code" href="namespacearm__compute_1_1utils.xhtml#a9c3303817ba653b5d1e78efb88d02bcf">map</a>(tensor2, <span class="keyword">true</span>);</div><div class="line"><a name="l00800"></a><span class="lineno"> 800</span> </div><div class="line"><a name="l00801"></a><span class="lineno"> 801</span>  <a class="code" href="classarm__compute_1_1_iterator.xhtml">Iterator</a> itensor1(&tensor1, window);</div><div class="line"><a name="l00802"></a><span class="lineno"> 802</span>  <a class="code" href="classarm__compute_1_1_iterator.xhtml">Iterator</a> itensor2(&tensor2, window);</div><div class="line"><a name="l00803"></a><span class="lineno"> 803</span> </div><div class="line"><a name="l00804"></a><span class="lineno"> 804</span>  <a class="code" href="namespacearm__compute.xhtml#a5002bf7ec46d52971f9526e94172cfee">execute_window_loop</a>(window, [&](<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> & <span class="keywordtype">id</span>)</div><div class="line"><a name="l00805"></a><span class="lineno"> 805</span>  {</div><div class="line"><a name="l00806"></a><span class="lineno"> 806</span>  <span class="keywordflow">if</span>(std::abs(*reinterpret_cast<T *>(itensor1.<a class="code" href="classarm__compute_1_1_iterator.xhtml#ab260e292b1df3944bc1d55a9b2301e41">ptr</a>()) - *reinterpret_cast<T *>(itensor2.<a class="code" href="classarm__compute_1_1_iterator.xhtml#ab260e292b1df3944bc1d55a9b2301e41">ptr</a>())) > tolerance)</div><div class="line"><a name="l00807"></a><span class="lineno"> 807</span>  {</div><div class="line"><a name="l00808"></a><span class="lineno"> 808</span>  ++num_mismatches;</div><div class="line"><a name="l00809"></a><span class="lineno"> 809</span>  }</div><div class="line"><a name="l00810"></a><span class="lineno"> 810</span>  },</div><div class="line"><a name="l00811"></a><span class="lineno"> 811</span>  itensor1, itensor2);</div><div class="line"><a name="l00812"></a><span class="lineno"> 812</span> </div><div class="line"><a name="l00813"></a><span class="lineno"> 813</span>  <a class="code" href="namespacearm__compute_1_1utils.xhtml#a4ff2134cb88cb5a27120cddb98b59774">unmap</a>(itensor1);</div><div class="line"><a name="l00814"></a><span class="lineno"> 814</span>  <a class="code" href="namespacearm__compute_1_1utils.xhtml#a4ff2134cb88cb5a27120cddb98b59774">unmap</a>(itensor2);</div><div class="line"><a name="l00815"></a><span class="lineno"> 815</span> </div><div class="line"><a name="l00816"></a><span class="lineno"> 816</span>  <span class="keywordflow">return</span> num_mismatches;</div><div class="line"><a name="l00817"></a><span class="lineno"> 817</span> }</div><div class="line"><a name="l00818"></a><span class="lineno"> 818</span> </div><div class="line"><a name="l00823"></a><span class="lineno"> 823</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1utils.xhtml#a667b4012e6d9b8c07876c7ff5da9f68d">save_program_cache_to_file</a>(<span class="keyword">const</span> std::string &filename = <span class="stringliteral">"cache.bin"</span>);</div><div class="line"><a name="l00824"></a><span class="lineno"> 824</span> </div><div class="line"><a name="l00829"></a><span class="lineno"> 829</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1utils.xhtml#a394a7513744bff536de8290ce870fd85">restore_program_cache_from_file</a>(<span class="keyword">const</span> std::string &filename = <span class="stringliteral">"cache.bin"</span>);</div><div class="line"><a name="l00830"></a><span class="lineno"> 830</span> } <span class="comment">// namespace utils</span></div><div class="line"><a name="l00831"></a><span class="lineno"> 831</span> } <span class="comment">// namespace arm_compute</span></div><div class="line"><a name="l00832"></a><span class="lineno"> 832</span> <span class="preprocessor">#endif </span><span class="comment">/* __UTILS_UTILS_H__*/</span><span class="preprocessor"></span></div><div class="ttc" id="_error_8h_xhtml_a05b19c75afe9c24200a62b9724734bbd"><div class="ttname"><a href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR(...)</div><div class="ttdoc">Print the given message then throw an std::runtime_error.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00261">Error.h:261</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1utils_xhtml_a301d0b7bfd70f73fc1924f4281938d08"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#a301d0b7bfd70f73fc1924f4281938d08">arm_compute::utils::save_to_ppm</a></div><div class="ttdeci">void save_to_ppm(T &tensor, const std::string &ppm_filename)</div><div class="ttdoc">Template helper function to save a tensor image to a PPM file.</div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00540">Utils.h:540</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a45cde9abb508c62d67c3bb2b9bf566a5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">arm_compute::test::validation::shape</a></div><div class="ttdeci">shape</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_absolute_difference_8cpp_source.xhtml#l00097">AbsoluteDifference.cpp:97</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1utils_xhtml_a8249d4be92399495c0d3c9a5004aeb40"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#a8249d4be92399495c0d3c9a5004aeb40">arm_compute::utils::run_example</a></div><div class="ttdeci">int run_example(int argc, char **argv, std::unique_ptr< Example > example)</div><div class="ttdoc">Run an example and handle the potential exceptions it throws.</div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8cpp_source.xhtml#l00080">Utils.cpp:80</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1utils_xhtml_afb7b08e5c044dba650037628089a4e7c"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#afb7b08e5c044dba650037628089a4e7c">arm_compute::utils::get_mem_free_from_meminfo</a></div><div class="ttdeci">uint64_t get_mem_free_from_meminfo()</div><div class="ttdoc">This function returns the amount of memory free reading from /proc/meminfo.</div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8cpp_source.xhtml#l00245">Utils.cpp:245</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml">arm_compute::TensorShape</a></div><div class="ttdoc">Shape of a tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00039">TensorShape.h:39</a></div></div> |
| <div class="ttc" id="_toolchain_support_8h_xhtml"><div class="ttname"><a href="_toolchain_support_8h.xhtml">ToolchainSupport.h</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a3ca8a4ea8f992df3b462bc7b24d097c6"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a3ca8a4ea8f992df3b462bc7b24d097c6">arm_compute::DataType::QSYMM16</a></div><div class="ttdoc">quantized, symmetric fixed-point 16-bit number</div></div> |
| <div class="ttc" id="classarm__compute_1_1utils_1_1_n_p_y_loader_xhtml_a8aa067630bcfd267bf3389ae27e70e76"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a8aa067630bcfd267bf3389ae27e70e76">arm_compute::utils::NPYLoader::is_fortran</a></div><div class="ttdeci">bool is_fortran()</div><div class="ttdoc">Return true if a NPY file is in fortran order.</div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00359">Utils.h:359</a></div></div> |
| <div class="ttc" id="_i_tensor_8h_xhtml"><div class="ttname"><a href="_i_tensor_8h.xhtml">ITensor.h</a></div></div> |
| <div class="ttc" id="_validate_8h_xhtml_a5befbfaf6bc224eabc58b5e88b1de6d1"><div class="ttname"><a href="_validate_8h.xhtml#a5befbfaf6bc224eabc58b5e88b1de6d1">ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(...)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00543">Validate.h:543</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_aa76b4a6e74940dabc5b7fc6b2dab3545"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">arm_compute::test::validation::b</a></div><div class="ttdeci">SimpleTensor< float > b</div><div class="ttdef"><b>Definition:</b> <a href="_c_p_p_2_d_f_t_8cpp_source.xhtml#l00157">DFT.cpp:157</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1utils_1_1uniform__real__distribution__fp16_xhtml"><div class="ttname"><a href="classarm__compute_1_1utils_1_1uniform__real__distribution__fp16.xhtml">arm_compute::utils::uniform_real_distribution_fp16</a></div><div class="ttdoc">Specialized class to generate random non-zero FP16 values.</div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00287">Utils.h:287</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1utils_1_1_n_p_y_loader_xhtml_a6e3c7f7584c89bfed519597f40c08528"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a6e3c7f7584c89bfed519597f40c08528">arm_compute::utils::NPYLoader::init_tensor</a></div><div class="ttdeci">void init_tensor(T &tensor, arm_compute::DataType dt)</div><div class="ttdoc">Initialise the tensor's metadata with the dimensions of the NPY file currently open.</div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00370">Utils.h:370</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">arm_compute::Format::U8</a></div><div class="ttdoc">1 channel, 1 U8 per channel</div></div> |
| <div class="ttc" id="namespacearm__compute_1_1utils_xhtml_a394a7513744bff536de8290ce870fd85"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#a394a7513744bff536de8290ce870fd85">arm_compute::utils::restore_program_cache_from_file</a></div><div class="ttdeci">void restore_program_cache_from_file(const std::string &filename)</div><div class="ttdoc">This function loads prebuilt opencl kernels from a file.</div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8cpp_source.xhtml#l00279">Utils.cpp:279</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1support_1_1cpp11_xhtml_acc5dddee1cbe93a4eaf0a9f74ee96bb7"><div class="ttname"><a href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">arm_compute::support::cpp11::to_string</a></div><div class="ttdeci">std::string to_string(T &&value)</div><div class="ttdoc">Convert integer and float values to string.</div><div class="ttdef"><b>Definition:</b> <a href="_toolchain_support_8h_source.xhtml#l00242">ToolchainSupport.h:242</a></div></div> |
| <div class="ttc" id="_validate_8h_xhtml_a0d34a8aa07600727e4e5034c7cdad47d"><div class="ttname"><a href="_validate_8h.xhtml#a0d34a8aa07600727e4e5034c7cdad47d">ARM_COMPUTE_ERROR_ON_FORMAT_NOT_IN</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_FORMAT_NOT_IN(t,...)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00642">Validate.h:642</a></div></div> |
| <div class="ttc" id="_c_l_tensor_8h_xhtml"><div class="ttname"><a href="_c_l_tensor_8h.xhtml">CLTensor.h</a></div></div> |
| <div class="ttc" id="_window_8h_xhtml"><div class="ttname"><a href="_window_8h.xhtml">Window.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1utils_1_1_n_p_y_loader_xhtml_a055a51a536088065021a54e13968521d"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a055a51a536088065021a54e13968521d">arm_compute::utils::NPYLoader::fill_tensor</a></div><div class="ttdeci">void fill_tensor(T &tensor)</div><div class="ttdoc">Fill a tensor with the content of the currently open NPY file.</div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00399">Utils.h:399</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a73e2825fd61d349c5ca2f5313e3c8ea1"><div class="ttname"><a href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">arm_compute::half</a></div><div class="ttdeci">half_float::half half</div><div class="ttdoc">16-bit floating point type</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00044">Types.h:44</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::Format::F32</a></div><div class="ttdoc">1 channel, 1 F32 per channel</div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a33e65be485104e2e9e69fca551d6f492"><div class="ttname"><a href="namespacearm__compute.xhtml#a33e65be485104e2e9e69fca551d6f492">arm_compute::PermutationVector</a></div><div class="ttdeci">Strides PermutationVector</div><div class="ttdoc">Permutation vector.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00047">Types.h:47</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00337">Error.h:337</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml_a4083de30daebd6bdee6b35d9c8262108"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml#a4083de30daebd6bdee6b35d9c8262108">arm_compute::CLTensor::allocator</a></div><div class="ttdeci">CLTensorAllocator * allocator()</div><div class="ttdoc">Return a pointer to the tensor's allocator.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_tensor_8cpp_source.xhtml#l00055">CLTensor.cpp:55</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_window_1_1_dimension_xhtml"><div class="ttname"><a href="classarm__compute_1_1_window_1_1_dimension.xhtml">arm_compute::Window::Dimension</a></div><div class="ttdoc">Describe one of the image's dimensions with a start, end and step.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00075">Window.h:75</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58aef9ef3ebca4d2b64b6ec83808bafa5f2"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aef9ef3ebca4d2b64b6ec83808bafa5f2">arm_compute::Format::U16</a></div><div class="ttdoc">1 channel, 1 U16 per channel</div></div> |
| <div class="ttc" id="namespacearm__compute_1_1utils_xhtml_a667b4012e6d9b8c07876c7ff5da9f68d"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#a667b4012e6d9b8c07876c7ff5da9f68d">arm_compute::utils::save_program_cache_to_file</a></div><div class="ttdeci">void save_program_cache_to_file(const std::string &filename)</div><div class="ttdoc">This function saves opencl kernels library to a file.</div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8cpp_source.xhtml#l00323">Utils.cpp:323</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a982730e6f0da5f9490f59bc5f6bb3f27"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a982730e6f0da5f9490f59bc5f6bb3f27">arm_compute::Dimensions::set</a></div><div class="ttdeci">void set(size_t dimension, T value)</div><div class="ttdoc">Accessor to set the value of one of the dimensions.</div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00074">Dimensions.h:74</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml">arm_compute::ITensor</a></div><div class="ttdoc">Interface for NEON tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_8h_source.xhtml#l00036">ITensor.h:36</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_window_xhtml_a14470b4cb59140a1b6ff3b8f16c89ab6"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#a14470b4cb59140a1b6ff3b8f16c89ab6">arm_compute::Window::use_tensor_dimensions</a></div><div class="ttdeci">void use_tensor_dimensions(const TensorShape &shape, size_t first_dimension=Window::DimX)</div><div class="ttdoc">Use the tensor's dimensions to fill the window dimensions.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8inl_source.xhtml#l00250">Window.inl:250</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_allocator_xhtml_af36143939a43fa124312e395975091ed"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_allocator.xhtml#af36143939a43fa124312e395975091ed">arm_compute::ITensorAllocator::init</a></div><div class="ttdeci">void init(const TensorInfo &input, size_t alignment=0)</div><div class="ttdoc">Initialize a tensor based on the passed TensorInfo.</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_allocator_8cpp_source.xhtml#l00038">ITensorAllocator.cpp:38</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">Copyright (c) 2017-2018 ARM Limited.</div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00024">00_introduction.dox:24</a></div></div> |
| <div class="ttc" id="_validate_8h_xhtml_aafce5e9928fac427dcd29d960bcf2ae3"><div class="ttname"><a href="_validate_8h.xhtml#aafce5e9928fac427dcd29d960bcf2ae3">ARM_COMPUTE_ERROR_ON_MISMATCHING_SHAPES</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_MISMATCHING_SHAPES(...)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00441">Validate.h:441</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">arm_compute::Format::F16</a></div><div class="ttdoc">1 channel, 1 F16 per channel</div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml_a14c53d2d17be6fa8a2c9861527c7b002"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml#a14c53d2d17be6fa8a2c9861527c7b002">arm_compute::CLTensor::map</a></div><div class="ttdeci">void map(bool blocking=true)</div><div class="ttdoc">Enqueue a map operation of the allocated buffer.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_tensor_8cpp_source.xhtml#l00060">CLTensor.cpp:60</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1utils_1_1_example_xhtml_a9b3acd6be09cf86066760caaa89f7be5"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_example.xhtml#a9b3acd6be09cf86066760caaa89f7be5">arm_compute::utils::Example::do_teardown</a></div><div class="ttdeci">virtual void do_teardown()</div><div class="ttdoc">Teardown the example.</div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00087">Utils.h:87</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a21c3e11887f3acf9284ca763372c7da0"><div class="ttname"><a href="namespacearm__compute.xhtml#a21c3e11887f3acf9284ca763372c7da0">arm_compute::permute</a></div><div class="ttdeci">void permute(Dimensions< T > &dimensions, const PermutationVector &perm)</div><div class="ttdoc">Permutes given Dimensions according to a permutation vector.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_helpers_8h_source.xhtml#l00570">Helpers.h:570</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1utils_xhtml_a4ff2134cb88cb5a27120cddb98b59774"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#a4ff2134cb88cb5a27120cddb98b59774">arm_compute::utils::unmap</a></div><div class="ttdeci">void unmap(T &tensor)</div><div class="ttdoc">Unmaps a tensor if needed.</div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00217">Utils.h:217</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1utils_xhtml_abe777f4e6d2b0d9964eee32f5ae3fca7"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#abe777f4e6d2b0d9964eee32f5ae3fca7">arm_compute::utils::fill_random_tensor</a></div><div class="ttdeci">void fill_random_tensor(T &tensor, float lower_bound, float upper_bound)</div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00722">Utils.h:722</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">arm_compute::Format::S32</a></div><div class="ttdoc">1 channel, 1 S32 per channel</div></div> |
| <div class="ttc" id="_error_8h_xhtml_ad39a3601153da57978bb5124ace35d36"><div class="ttname"><a href="_error_8h.xhtml#ad39a3601153da57978bb5124ace35d36">ARM_COMPUTE_EXIT_ON_MSG</a></div><div class="ttdeci">#define ARM_COMPUTE_EXIT_ON_MSG(cond,...)</div><div class="ttdoc">If the condition is true, the given message is printed and program exits.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00277">Error.h:277</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a115dca124dc6423c7a400b8a8a0270cc"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a115dca124dc6423c7a400b8a8a0270cc">arm_compute::DataType::S64</a></div><div class="ttdoc">signed 64-bit number</div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0">arm_compute::Format::RGB888</a></div><div class="ttdoc">3 channels, 1 U8 per channel</div></div> |
| <div class="ttc" id="namespacearm__compute_1_1utils_xhtml_a7990fd2b875e2f6d4c1eded54539cb19"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#a7990fd2b875e2f6d4c1eded54539cb19">arm_compute::utils::get_typestring</a></div><div class="ttdeci">std::string get_typestring(DataType data_type)</div><div class="ttdoc">Obtain numpy type string from DataType.</div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00149">Utils.h:149</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6abd7ef6d4f35bc7d05c559b65032f15d1"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6abd7ef6d4f35bc7d05c559b65032f15d1">arm_compute::DataType::SIZET</a></div><div class="ttdoc">size_t</div></div> |
| <div class="ttc" id="classarm__compute_1_1_window_xhtml_aa96e81276ee4f87ab386cd05a5539a7d"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">arm_compute::Window::DimX</a></div><div class="ttdeci">static constexpr size_t DimX</div><div class="ttdoc">Alias for dimension 0 also known as X dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00043">Window.h:43</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a6dc630a6ae9cc063b3924bcea8dee9d6"><div class="ttname"><a href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a></div><div class="ttdeci">#define ARM_COMPUTE_UNUSED(...)</div><div class="ttdoc">To avoid unused variables warnings.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00160">Error.h:160</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1utils_xhtml_a48c0efb64637ab6e965b32d7c683efe9"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#a48c0efb64637ab6e965b32d7c683efe9">arm_compute::utils::save_to_npy</a></div><div class="ttdeci">void save_to_npy(T &tensor, const std::string &npy_filename, bool fortran_order)</div><div class="ttdoc">Template helper function to save a tensor image to a NPY file.</div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00620">Utils.h:620</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1utils_1_1uniform__real__distribution__fp16_xhtml_a370281b50a22dc51ccbeab7e2603bd7b"><div class="ttname"><a href="classarm__compute_1_1utils_1_1uniform__real__distribution__fp16.xhtml#a370281b50a22dc51ccbeab7e2603bd7b">arm_compute::utils::uniform_real_distribution_fp16::result_type</a></div><div class="ttdeci">half result_type</div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00295">Utils.h:295</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1utils_1_1_example_xhtml_a90b4bc2c4bae857bc3536f4a18e29772"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_example.xhtml#a90b4bc2c4bae857bc3536f4a18e29772">arm_compute::utils::Example::do_run</a></div><div class="ttdeci">virtual void do_run()</div><div class="ttdoc">Run the example.</div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00085">Utils.h:85</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee">arm_compute::Format::U32</a></div><div class="ttdoc">1 channel, 1 U32 per channel</div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a7c66505457d00ece3aa4b34cab80757d"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">arm_compute::ITensorInfo::tensor_shape</a></div><div class="ttdeci">virtual const TensorShape & tensor_shape() const =0</div><div class="ttdoc">Size for each dimension of the tensor.</div></div> |
| <div class="ttc" id="classarm__compute_1_1utils_1_1_n_p_y_loader_xhtml"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml">arm_compute::utils::NPYLoader</a></div><div class="ttdoc">Numpy data loader.</div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00321">Utils.h:321</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">arm_compute::DataType::QASYMM8</a></div><div class="ttdoc">quantized, asymmetric fixed-point 8-bit number</div></div> |
| <div class="ttc" id="classarm__compute_1_1utils_1_1_n_p_y_loader_xhtml_a59ac86360353fd935c6979105da7aefa"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a59ac86360353fd935c6979105da7aefa">arm_compute::utils::NPYLoader::NPYLoader</a></div><div class="ttdeci">NPYLoader()</div><div class="ttdoc">Default constructor.</div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00325">Utils.h:325</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_coordinates_xhtml"><div class="ttname"><a href="classarm__compute_1_1_coordinates.xhtml">arm_compute::Coordinates</a></div><div class="ttdoc">Coordinates of an item.</div><div class="ttdef"><b>Definition:</b> <a href="_coordinates_8h_source.xhtml#l00037">Coordinates.h:37</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1utils_xhtml_acdab4f47904c52221c85cc80f408f183"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#acdab4f47904c52221c85cc80f408f183">arm_compute::utils::parse_npy_header</a></div><div class="ttdeci">std::tuple< std::vector< unsigned long >, bool, std::string > parse_npy_header(std::ifstream &fs)</div><div class="ttdoc">Parse the npy header from an input file stream.</div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8cpp_source.xhtml#l00224">Utils.cpp:224</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1utils_1_1_example_xhtml"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_example.xhtml">arm_compute::utils::Example</a></div><div class="ttdoc">Abstract Example class.</div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00070">Utils.h:70</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml_a0e95dc1e53c361348314873b168ae237"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">arm_compute::ITensor::info</a></div><div class="ttdeci">virtual ITensorInfo * info() const =0</div><div class="ttdoc">Interface to be implemented by the child class to return the tensor's metadata.</div></div> |
| <div class="ttc" id="classarm__compute_1_1_iterator_xhtml_ab260e292b1df3944bc1d55a9b2301e41"><div class="ttname"><a href="classarm__compute_1_1_iterator.xhtml#ab260e292b1df3944bc1d55a9b2301e41">arm_compute::Iterator::ptr</a></div><div class="ttdeci">constexpr uint8_t * ptr() const</div><div class="ttdoc">Return a pointer to the current pixel.</div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00184">Helpers.inl:184</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_adbf67dcee294e673cf796f1ed8aeb6a4"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">arm_compute::test::validation::dst</a></div><div class="ttdeci">CLTensor dst</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_absolute_difference_8cpp_source.xhtml#l00102">AbsoluteDifference.cpp:102</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_window_xhtml_acd3d2bba51cb84d34dd7656ad2375a6e"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">arm_compute::Window::set</a></div><div class="ttdeci">void set(size_t dimension, const Dimension &dim)</div><div class="ttdoc">Set the values of a given dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8inl_source.xhtml#l00048">Window.inl:48</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a756aeab6b5c217b924c3cc70222c975d"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a756aeab6b5c217b924c3cc70222c975d">arm_compute::test::validation::distribution</a></div><div class="ttdeci">std::uniform_real_distribution< float > distribution(-5.f, 5.f)</div></div> |
| <div class="ttc" id="namespacearm__compute_1_1utils_xhtml_a3154c405c975616503bac23f51b78fc0a4bb1ebdeeb70354069bc644b9c94ee5f"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#a3154c405c975616503bac23f51b78fc0a4bb1ebdeeb70354069bc644b9c94ee5f">arm_compute::utils::ImageType::PPM</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1utils_1_1_n_p_y_loader_xhtml_a2f57f54d8c03b615bb31eee091d8a88a"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a2f57f54d8c03b615bb31eee091d8a88a">arm_compute::utils::NPYLoader::is_open</a></div><div class="ttdeci">bool is_open()</div><div class="ttdoc">Return true if a NPY file is currently open.</div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00353">Utils.h:353</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">arm_compute::Format::S16</a></div><div class="ttdoc">1 channel, 1 S16 per channel</div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a5f007421a4becd11c0666c2058b0b36c"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a5f007421a4becd11c0666c2058b0b36c">arm_compute::DataType::QSYMM8</a></div><div class="ttdoc">quantized, symmetric fixed-point 8-bit number</div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">arm_compute::DataLayout::NCHW</a></div><div class="ttdoc">Num samples, channels, height, width.</div></div> |
| <div class="ttc" id="_validate_8h_xhtml_aadf5c9cff86327b96d88d04649d9715e"><div class="ttname"><a href="_validate_8h.xhtml#aadf5c9cff86327b96d88d04649d9715e">ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(t, c,...)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00789">Validate.h:789</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_strides_xhtml"><div class="ttname"><a href="classarm__compute_1_1_strides.xhtml">arm_compute::Strides</a></div><div class="ttdoc">Strides of an item in bytes.</div><div class="ttdef"><b>Definition:</b> <a href="_strides_8h_source.xhtml#l00037">Strides.h:37</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a34f500e941c4df30b870126ec868ebd5"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a34f500e941c4df30b870126ec868ebd5">arm_compute::DataType::QSYMM8_PER_CHANNEL</a></div><div class="ttdoc">quantized, symmetric per channel fixed-point 8-bit number</div></div> |
| <div class="ttc" id="classarm__compute_1_1_window_xhtml_ad2d402364fa822b0b7775081291eeca9"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#ad2d402364fa822b0b7775081291eeca9">arm_compute::Window::DimY</a></div><div class="ttdeci">static constexpr size_t DimY</div><div class="ttdoc">Alias for dimension 1 also known as Y dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00045">Window.h:45</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1utils_1_1_example_xhtml_afeec4c960afa54ec7a45c519ad87cf2b"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_example.xhtml#afeec4c960afa54ec7a45c519ad87cf2b">arm_compute::utils::Example::~Example</a></div><div class="ttdeci">virtual ~Example()=default</div><div class="ttdoc">Default destructor.</div></div> |
| <div class="ttc" id="namespacearm__compute_1_1utils_xhtml_a9c3303817ba653b5d1e78efb88d02bcf"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#a9c3303817ba653b5d1e78efb88d02bcf">arm_compute::utils::map</a></div><div class="ttdeci">void map(T &tensor, bool blocking)</div><div class="ttdoc">Maps a tensor if needed.</div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00206">Utils.h:206</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1_detection_window_xhtml"><div class="ttname"><a href="structarm__compute_1_1_detection_window.xhtml">arm_compute::DetectionWindow</a></div><div class="ttdoc">Detection window used for the object detection.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00544">Types.h:544</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1utils_xhtml_a4894358ea9a576be19615608a6b8b152"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#a4894358ea9a576be19615608a6b8b152">arm_compute::utils::compare_tensor</a></div><div class="ttdeci">int compare_tensor(ITensor &tensor1, ITensor &tensor2, T tolerance)</div><div class="ttdoc">Compare two tensors.</div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00789">Utils.h:789</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab8938bcb3ec0f5f8d93285eb3a28b701"><div class="ttname"><a href="namespacearm__compute.xhtml#ab8938bcb3ec0f5f8d93285eb3a28b701">arm_compute::qasymm8_t</a></div><div class="ttdeci">uint8_t qasymm8_t</div><div class="ttdoc">8 bit quantized asymmetric scalar value</div><div class="ttdef"><b>Definition:</b> <a href="_quantization_info_8h_source.xhtml#l00035">QuantizationInfo.h:35</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51"><div class="ttname"><a href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">arm_compute::DataLayout::NHWC</a></div><div class="ttdoc">Num samples, height, width, channels.</div></div> |
| <div class="ttc" id="namespacearm__compute_1_1utils_xhtml_ad1b5373f466a3945e1f0ef1c9943c357"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#ad1b5373f466a3945e1f0ef1c9943c357">arm_compute::utils::draw_detection_rectangle</a></div><div class="ttdeci">void draw_detection_rectangle(ITensor *tensor, const DetectionWindow &rect, uint8_t r, uint8_t g, uint8_t b)</div><div class="ttdoc">Draw a RGB rectangular window for the detected object.</div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8cpp_source.xhtml#l00121">Utils.cpp:121</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1utils_xhtml_a3154c405c975616503bac23f51b78fc0"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#a3154c405c975616503bac23f51b78fc0">arm_compute::utils::ImageType</a></div><div class="ttdeci">ImageType</div><div class="ttdoc">Supported image types.</div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00059">Utils.h:59</a></div></div> |
| <div class="ttc" id="_open_c_l_8h_xhtml"><div class="ttname"><a href="_open_c_l_8h.xhtml">OpenCL.h</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1utils_xhtml_a3154c405c975616503bac23f51b78fc0a907e06a16862d82ca6907a28a68d0ad6"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#a3154c405c975616503bac23f51b78fc0a907e06a16862d82ca6907a28a68d0ad6">arm_compute::utils::ImageType::JPEG</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1utils_1_1_n_p_y_loader_xhtml_a739fd000f9e30bbc875cb48a9c6edab1"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a739fd000f9e30bbc875cb48a9c6edab1">arm_compute::utils::NPYLoader::open</a></div><div class="ttdeci">void open(const std::string &npy_filename, DataLayout file_layout=DataLayout::NCHW)</div><div class="ttdoc">Open a NPY file and reads its metadata.</div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00335">Utils.h:335</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1utils_1_1uniform__real__distribution__fp16_xhtml_a8ff8dbf99225689e83f09a8e4732635c"><div class="ttname"><a href="classarm__compute_1_1utils_1_1uniform__real__distribution__fp16.xhtml#a8ff8dbf99225689e83f09a8e4732635c">arm_compute::utils::uniform_real_distribution_fp16::operator()</a></div><div class="ttdeci">half operator()(std::mt19937 &gen)</div><div class="ttdoc">() operator to generate next value</div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00310">Utils.h:310</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1utils_xhtml_a3aa8f5f1b94f88fdf5b43a53e29379cf"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#a3aa8f5f1b94f88fdf5b43a53e29379cf">arm_compute::utils::parse_ppm_header</a></div><div class="ttdeci">std::tuple< unsigned int, unsigned int, int > parse_ppm_header(std::ifstream &fs)</div><div class="ttdoc">Parse the ppm header from an input file stream.</div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8cpp_source.xhtml#l00193">Utils.cpp:193</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml_a9c54fb6cea3557692fe7c00c40bb40ad"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml#a9c54fb6cea3557692fe7c00c40bb40ad">arm_compute::TensorShape::set</a></div><div class="ttdeci">TensorShape & set(size_t dimension, size_t value, bool apply_dim_correction=true)</div><div class="ttdoc">Accessor to set the value of one of the dimensions.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00078">TensorShape.h:78</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml">arm_compute::TensorInfo</a></div><div class="ttdoc">Store the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00045">TensorInfo.h:45</a></div></div> |
| <div class="ttc" id="arm__compute_2core_2_helpers_8h_xhtml"><div class="ttname"><a href="arm__compute_2core_2_helpers_8h.xhtml">Helpers.h</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a5002bf7ec46d52971f9526e94172cfee"><div class="ttname"><a href="namespacearm__compute.xhtml#a5002bf7ec46d52971f9526e94172cfee">arm_compute::execute_window_loop</a></div><div class="ttdeci">void execute_window_loop(const Window &w, L &&lambda_function, Ts &&... iterators)</div><div class="ttdoc">Iterate through the passed window, automatically adjusting the iterators and calling the lambda_funct...</div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00122">Helpers.inl:122</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1utils_xhtml_a779702024b509e6797b2d526d382cf65"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#a779702024b509e6797b2d526d382cf65">arm_compute::utils::get_image_type_from_file</a></div><div class="ttdeci">ImageType get_image_type_from_file(const std::string &filename)</div><div class="ttdoc">Gets image type given a file.</div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8cpp_source.xhtml#l00158">Utils.cpp:158</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1utils_1_1uniform__real__distribution__fp16_xhtml_acc0b853821f59848e72982fd33b3c311"><div class="ttname"><a href="classarm__compute_1_1utils_1_1uniform__real__distribution__fp16.xhtml#acc0b853821f59848e72982fd33b3c311">arm_compute::utils::uniform_real_distribution_fp16::uniform_real_distribution_fp16</a></div><div class="ttdeci">uniform_real_distribution_fp16(half a=half(0.0), half b=half(1.0))</div><div class="ttdoc">Constructor.</div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00301">Utils.h:301</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1utils_xhtml_af214346f90d640ac468dd90fa2a275cc"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#af214346f90d640ac468dd90fa2a275cc">arm_compute::utils::load_trained_data</a></div><div class="ttdeci">void load_trained_data(T &tensor, const std::string &filename)</div><div class="ttdoc">Load the tensor with pre-trained data from a binary file.</div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00675">Utils.h:675</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1utils_xhtml_a3154c405c975616503bac23f51b78fc0a696b031073e74bf2cb98e5ef201d4aa3"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#a3154c405c975616503bac23f51b78fc0a696b031073e74bf2cb98e5ef201d4aa3">arm_compute::utils::ImageType::UNKNOWN</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a1ad5f6f3069070ec4cbbdc94d5e61e0e"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a1ad5f6f3069070ec4cbbdc94d5e61e0e">arm_compute::DataType::F64</a></div><div class="ttdoc">64-bit floating-point number</div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a5f5b6c4337eac9e2e0046ca2304d80dc"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a5f5b6c4337eac9e2e0046ca2304d80dc">arm_compute::test::validation::data_type</a></div><div class="ttdeci">data_type</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_arithmetic_addition_8cpp_source.xhtml#l00135">ArithmeticAddition.cpp:135</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_iterator_xhtml"><div class="ttname"><a href="classarm__compute_1_1_iterator.xhtml">arm_compute::Iterator</a></div><div class="ttdoc">Iterator updated by execute_window_loop for each window element.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_helpers_8h_source.xhtml#l00318">Helpers.h:318</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a31d65cccd6593e4101db93fb878abcaa"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a31d65cccd6593e4101db93fb878abcaa">arm_compute::DataType::U64</a></div><div class="ttdoc">unsigned 64-bit number</div></div> |
| <div class="ttc" id="arm__compute_2core_2_types_8h_xhtml"><div class="ttname"><a href="arm__compute_2core_2_types_8h.xhtml">Types.h</a></div></div> |
| <div class="ttc" id="runtime_2_tensor_8h_xhtml"><div class="ttname"><a href="runtime_2_tensor_8h.xhtml">Tensor.h</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">arm_compute::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdoc">Available data types.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00074">Types.h:74</a></div></div> |
| <div class="ttc" id="_g_c_tensor_8h_xhtml"><div class="ttname"><a href="_g_c_tensor_8h.xhtml">GCTensor.h</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1utils_xhtml_a3ff90da00700526d89a0ee29f85fd804"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#a3ff90da00700526d89a0ee29f85fd804">arm_compute::utils::init_sgemm_output</a></div><div class="ttdeci">void init_sgemm_output(T &dst, T &src0, T &src1, arm_compute::DataType dt)</div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00770">Utils.h:770</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0"><div class="ttname"><a href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">arm_compute::DataLayout</a></div><div class="ttdeci">DataLayout</div><div class="ttdoc">[DataLayout enum definition]</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00114">Types.h:114</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6aafb0fced528eaac5fe170b763cda5975"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6aafb0fced528eaac5fe170b763cda5975">arm_compute::DataType::S8</a></div><div class="ttdoc">signed 8-bit number</div></div> |
| <div class="ttc" id="classarm__compute_1_1_window_xhtml"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml">arm_compute::Window</a></div><div class="ttdoc">Describe a multidimensional execution window.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00039">Window.h:39</a></div></div> |
| <div class="ttc" id="_c_l_distribution1_d_8h_xhtml"><div class="ttname"><a href="_c_l_distribution1_d_8h.xhtml">CLDistribution1D.h</a></div></div> |
| <div class="ttc" id="_validate_8h_xhtml"><div class="ttname"><a href="_validate_8h.xhtml">Validate.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1utils_1_1_example_xhtml_ae678db013a8393ad2799a7de8b2b9304"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_example.xhtml#ae678db013a8393ad2799a7de8b2b9304">arm_compute::utils::Example::do_setup</a></div><div class="ttdeci">virtual bool do_setup(int argc, char **argv)</div><div class="ttdoc">Setup the example.</div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00080">Utils.h:80</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a989ab3e96426615bb98e04e0235088ca"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">arm_compute::test::validation::src</a></div><div class="ttdeci">cast configure & src</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_cast_8cpp_source.xhtml#l00169">Cast.cpp:169</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a5bbdcf574d3f5e412fa6a1117911e67b"><div class="ttname"><a href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_MSG(cond,...)</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00328">Error.h:328</a></div></div> |
| <div class="ttc" id="_validate_8h_xhtml_a4264d7e3318c4188e48127a75f3f0f8a"><div class="ttname"><a href="_validate_8h.xhtml#a4264d7e3318c4188e48127a75f3f0f8a">ARM_COMPUTE_ERROR_ON_DATA_TYPE_NOT_IN</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_DATA_TYPE_NOT_IN(t,...)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00691">Validate.h:691</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml">arm_compute::CLTensor</a></div><div class="ttdoc">Basic implementation of the OpenCL tensor interface.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_tensor_8h_source.xhtml#l00040">CLTensor.h:40</a></div></div> |
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