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120 <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) 2016-2018 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="l00062"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_example.xhtml"> 62</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="l00063"></a><span class="lineno"> 63</span> {</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00070"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_example.xhtml#a96b30c1d1256c2ab3f731a162ad08609"> 70</a></span>  <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1utils_1_1_example.xhtml#a96b30c1d1256c2ab3f731a162ad08609">do_setup</a>(<span class="keywordtype">int</span> argc, <span class="keywordtype">char</span> **argv) {};</div><div class="line"><a name="l00072"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_example.xhtml#a90b4bc2c4bae857bc3536f4a18e29772"> 72</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="l00074"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_example.xhtml#a9b3acd6be09cf86066760caaa89f7be5"> 74</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="l00075"></a><span class="lineno"> 75</span> </div><div class="line"><a name="l00077"></a><span class="lineno"> 77</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="l00078"></a><span class="lineno"> 78</span> };</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> </div><div class="line"><a name="l00086"></a><span class="lineno"> 86</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="l00087"></a><span class="lineno"> 87</span> </div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00089"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1utils.xhtml#ac6126fda74b244d4c9a75328a3f436a3"> 89</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="l00090"></a><span class="lineno"> 90</span> {</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</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="l00092"></a><span class="lineno"> 92</span> }</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> </div><div class="line"><a name="l00102"></a><span class="lineno"> 102</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#a7b8004eef325a40dd43eb80755610fff">b</a>);</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> </div><div class="line"><a name="l00111"></a><span class="lineno"> 111</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="l00112"></a><span class="lineno"> 112</span> </div><div class="line"><a name="l00120"></a><span class="lineno"> 120</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="l00121"></a><span class="lineno"> 121</span> </div><div class="line"><a name="l00128"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1utils.xhtml#a7990fd2b875e2f6d4c1eded54539cb19"> 128</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#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>)</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span> {</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="comment">// Check endianness</span></div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 1;</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="keyword">const</span> <span class="keywordtype">char</span> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a497347573faa3778743ddf277f861094">c</a> = <span class="keyword">reinterpret_cast<</span><span class="keyword">const </span><span class="keywordtype">char</span> *<span class="keyword">></span>(&i);</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  std::string endianness;</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="keywordflow">if</span>(*c == 1)</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  {</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  endianness = std::string(<span class="stringliteral">"<"</span>);</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  }</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  {</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  endianness = std::string(<span class="stringliteral">">"</span>);</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  }</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="keyword">const</span> std::string no_endianness(<span class="stringliteral">"|"</span>);</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span> </div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="keywordflow">switch</span>(data_type)</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  {</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>:</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>:</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</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="l00149"></a><span class="lineno"> 149</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6aafb0fced528eaac5fe170b763cda5975">DataType::S8</a>:</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</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="l00151"></a><span class="lineno"> 151</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aef9ef3ebca4d2b64b6ec83808bafa5f2">DataType::U16</a>:</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</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="l00153"></a><span class="lineno"> 153</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">DataType::S16</a>:</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</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="l00155"></a><span class="lineno"> 155</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee">DataType::U32</a>:</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</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="l00157"></a><span class="lineno"> 157</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a>:</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</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="l00159"></a><span class="lineno"> 159</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a31d65cccd6593e4101db93fb878abcaa">DataType::U64</a>:</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</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="l00161"></a><span class="lineno"> 161</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a115dca124dc6423c7a400b8a8a0270cc">DataType::S64</a>:</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</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="l00163"></a><span class="lineno"> 163</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>:</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</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="l00165"></a><span class="lineno"> 165</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a1ad5f6f3069070ec4cbbdc94d5e61e0e">DataType::F64</a>:</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</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="l00167"></a><span class="lineno"> 167</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6abd7ef6d4f35bc7d05c559b65032f15d1">DataType::SIZET</a>:</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</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="l00169"></a><span class="lineno"> 169</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <a class="code" href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"NOT SUPPORTED!"</span>);</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  }</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span> }</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span> </div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00180"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1utils.xhtml#a9c3303817ba653b5d1e78efb88d02bcf"> 180</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="l00181"></a><span class="lineno"> 181</span> {</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(tensor);</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(blocking);</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span> }</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span> </div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00191"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1utils.xhtml#a4ff2134cb88cb5a27120cddb98b59774"> 191</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="l00192"></a><span class="lineno"> 192</span> {</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(tensor);</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span> }</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span> </div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span> <span class="preprocessor">#ifdef ARM_COMPUTE_CL</span></div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span> </div><div class="line"><a name="l00202"></a><span class="lineno"> 202</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="l00203"></a><span class="lineno"> 203</span> {</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  tensor.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a14c53d2d17be6fa8a2c9861527c7b002">map</a>(blocking);</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span> }</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span> </div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span> <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1utils.xhtml#a4ff2134cb88cb5a27120cddb98b59774">unmap</a>(<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> &tensor)</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span> {</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  tensor.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a1ffeb3b5abb3d61f62b58a391816201c">unmap</a>();</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span> }</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span> </div><div class="line"><a name="l00221"></a><span class="lineno"> 221</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_distribution1_d.xhtml">CLDistribution1D</a> &distribution, <span class="keywordtype">bool</span> blocking)</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span> {</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  distribution.<a class="code" href="classarm__compute_1_1_c_l_distribution1_d.xhtml#a14c53d2d17be6fa8a2c9861527c7b002">map</a>(blocking);</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span> }</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span> </div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span> <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1utils.xhtml#a4ff2134cb88cb5a27120cddb98b59774">unmap</a>(<a class="code" href="classarm__compute_1_1_c_l_distribution1_d.xhtml">CLDistribution1D</a> &distribution)</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>  distribution.<a class="code" href="classarm__compute_1_1_c_l_distribution1_d.xhtml#a1ffeb3b5abb3d61f62b58a391816201c">unmap</a>();</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span> }</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span> <span class="preprocessor">#endif </span><span class="comment">/* ARM_COMPUTE_CL */</span><span class="preprocessor"></span></div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span> </div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span> <span class="preprocessor">#ifdef ARM_COMPUTE_GC</span></div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span> </div><div class="line"><a name="l00242"></a><span class="lineno"> 242</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_g_c_tensor.xhtml">GCTensor</a> &tensor, <span class="keywordtype">bool</span> blocking)</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span> {</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  tensor.<a class="code" href="classarm__compute_1_1_g_c_tensor.xhtml#a14c53d2d17be6fa8a2c9861527c7b002">map</a>(blocking);</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span> }</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span> </div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span> <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1utils.xhtml#a4ff2134cb88cb5a27120cddb98b59774">unmap</a>(<a class="code" href="classarm__compute_1_1_g_c_tensor.xhtml">GCTensor</a> &tensor)</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span> {</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  tensor.<a class="code" href="classarm__compute_1_1_g_c_tensor.xhtml#a1ffeb3b5abb3d61f62b58a391816201c">unmap</a>();</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span> }</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span> <span class="preprocessor">#endif </span><span class="comment">/* ARM_COMPUTE_GC */</span><span class="preprocessor"></span></div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span> </div><div class="line"><a name="l00259"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml"> 259</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml">PPMLoader</a></div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span> {</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00262"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a49afa04c8a5fd9ead48e07440b37294c"> 262</a></span>  <a class="code" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a49afa04c8a5fd9ead48e07440b37294c">PPMLoader</a>()</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  : _fs(), _width(0), _height(0)</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  {</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  }</div><div class="line"><a name="l00270"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a36e58f3e64f3851ebac7a9556b4704ed"> 270</a></span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a36e58f3e64f3851ebac7a9556b4704ed">open</a>(<span class="keyword">const</span> std::string &ppm_filename)</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>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(is_open());</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="keywordflow">try</span></div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  {</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  _fs.exceptions(std::ifstream::failbit | std::ifstream::badbit);</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  _fs.open(ppm_filename, std::ios::in | std::ios::binary);</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span> </div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> max_val = 0;</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  std::tie(_width, _height, max_val) = <a class="code" href="namespacearm__compute_1_1utils.xhtml#a3aa8f5f1b94f88fdf5b43a53e29379cf">parse_ppm_header</a>(_fs);</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>  <a class="code" href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>(max_val >= 256, <span class="stringliteral">"2 bytes per colour channel not supported in file %s"</span>, ppm_filename.c_str());</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  }</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <span class="keywordflow">catch</span>(std::runtime_error &e)</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  {</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  <a class="code" href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"Accessing %s: %s"</span>, ppm_filename.c_str(), e.what());</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  }</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  }</div><div class="line"><a name="l00290"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a2f57f54d8c03b615bb31eee091d8a88a"> 290</a></span>  <span class="keywordtype">bool</span> <a class="code" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a2f57f54d8c03b615bb31eee091d8a88a">is_open</a>()</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  {</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <span class="keywordflow">return</span> _fs.is_open();</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> </div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00301"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a69f2a0e263d4f77d1e166de9cd2746f7"> 301</a></span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a69f2a0e263d4f77d1e166de9cd2746f7">init_image</a>(T &image, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">arm_compute::Format</a> format)</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  {</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(!is_open());</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(format != <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0">arm_compute::Format::RGB888</a> && format != <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">arm_compute::Format::U8</a>);</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span> </div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  <span class="comment">// Use the size of the input PPM image</span></div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">arm_compute::TensorInfo</a> image_info(_width, _height, format);</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  image.allocator()->init(image_info);</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  }</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span> </div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00318"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a1672610b872bef30d0dc2333a0ffc402"> 318</a></span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a1672610b872bef30d0dc2333a0ffc402">fill_image</a>(T &image)</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  {</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(!is_open());</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(image.info()->dimension(0) != _width || image.info()->dimension(1) != _height);</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <a class="code" href="_validate_8h.xhtml#a0d34a8aa07600727e4e5034c7cdad47d">ARM_COMPUTE_ERROR_ON_FORMAT_NOT_IN</a>(&image, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">arm_compute::Format::U8</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0">arm_compute::Format::RGB888</a>);</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  <span class="keywordflow">try</span></div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  {</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  <span class="comment">// Map buffer if creating a CLTensor/GCTensor</span></div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  <a class="code" href="namespacearm__compute_1_1utils.xhtml#a9c3303817ba653b5d1e78efb88d02bcf">map</a>(image, <span class="keyword">true</span>);</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>  <span class="comment">// Check if the file is large enough to fill the image</span></div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> current_position = _fs.tellg();</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  _fs.seekg(0, std::ios_base::end);</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> end_position = _fs.tellg();</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  _fs.seekg(current_position, std::ios_base::beg);</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span> </div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <a class="code" href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>((end_position - current_position) < image.info()->tensor_shape().total_size() * image.info()->element_size(),</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  <span class="stringliteral">"Not enough data in file"</span>);</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(end_position);</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span> </div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  <span class="keywordflow">switch</span>(image.info()->format())</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>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">arm_compute::Format::U8</a>:</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  {</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <span class="comment">// We need to convert the data from RGB to grayscale:</span></div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  <span class="comment">// Iterate through every pixel of the image</span></div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  <a class="code" href="classarm__compute_1_1_window.xhtml">arm_compute::Window</a> window;</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</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="l00346"></a><span class="lineno"> 346</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="l00347"></a><span class="lineno"> 347</span> </div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  <a class="code" href="classarm__compute_1_1_iterator.xhtml">arm_compute::Iterator</a> out(&image, window);</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span> </div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">char</span> red = 0;</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">char</span> green = 0;</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">char</span> blue = 0;</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span> </div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  <a class="code" href="namespacearm__compute.xhtml#a6c0dcc38187027dcb89cd9724bc5a823">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="l00355"></a><span class="lineno"> 355</span>  {</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  red = _fs.get();</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  green = _fs.get();</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  blue = _fs.get();</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span> </div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  *out.<a class="code" href="classarm__compute_1_1_iterator.xhtml#aeabcf37a281d780c90ebe812149a7a84">ptr</a>() = 0.2126f * red + 0.7152f * green + 0.0722f * blue;</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  },</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  out);</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span> </div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  }</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</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="l00367"></a><span class="lineno"> 367</span>  {</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  <span class="comment">// There is no format conversion needed: we can simply copy the content of the input file to the image one row at the time.</span></div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  <span class="comment">// Create a vertical window to iterate through the image's rows:</span></div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  <a class="code" href="classarm__compute_1_1_window.xhtml">arm_compute::Window</a> window;</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</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="l00372"></a><span class="lineno"> 372</span> </div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  <a class="code" href="classarm__compute_1_1_iterator.xhtml">arm_compute::Iterator</a> out(&image, window);</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>  <a class="code" href="namespacearm__compute.xhtml#a6c0dcc38187027dcb89cd9724bc5a823">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="l00376"></a><span class="lineno"> 376</span>  {</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  <span class="comment">// Copy one row from the input file to the current row of the image:</span></div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  _fs.read(reinterpret_cast<std::fstream::char_type *>(out.<a class="code" href="classarm__compute_1_1_iterator.xhtml#aeabcf37a281d780c90ebe812149a7a84">ptr</a>()), _width * image.info()->element_size());</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>  out);</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span> </div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  }</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</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="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>  <span class="comment">// Unmap buffer if creating a CLTensor/GCTensor</span></div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  <a class="code" href="namespacearm__compute_1_1utils.xhtml#a4ff2134cb88cb5a27120cddb98b59774">unmap</a>(image);</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>  <span class="keywordflow">catch</span>(<span class="keyword">const</span> std::ifstream::failure &e)</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  {</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <a class="code" href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"Loading PPM file: %s"</span>, e.what());</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  }</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  }</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span> </div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00405"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a7c3f70e1caee95bb95c62346e130e5ab"> 405</a></span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a7c3f70e1caee95bb95c62346e130e5ab">fill_planar_tensor</a>(T &tensor, <span class="keywordtype">bool</span> bgr = <span class="keyword">false</span>)</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  {</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(!is_open());</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</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#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>);</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span> </div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> data_layout = tensor.info()->data_layout();</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> tensor_shape = tensor.info()->tensor_shape();</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span> </div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(tensor_shape);</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(tensor_shape[<a class="code" href="namespacearm__compute.xhtml#a46e938020a3ac8c926d0590b7fe957db">get_data_layout_dimension_index</a>(data_layout, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02a49da85b69bc6285eeee286ca49fa7195">DataLayoutDimension::WIDTH</a>)] != _width);</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(tensor_shape[<a class="code" href="namespacearm__compute.xhtml#a46e938020a3ac8c926d0590b7fe957db">get_data_layout_dimension_index</a>(data_layout, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02ad770ba3ce18fa409965dfdf5e7c348e6">DataLayoutDimension::HEIGHT</a>)] != _height);</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(tensor_shape[<a class="code" href="namespacearm__compute.xhtml#a46e938020a3ac8c926d0590b7fe957db">get_data_layout_dimension_index</a>(data_layout, <a class="code" href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02af52e9c50a060add65a035429b2a22229">DataLayoutDimension::CHANNEL</a>)] != 3);</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="keywordflow">try</span></div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  {</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  <span class="comment">// Map buffer if creating a CLTensor</span></div><div class="line"><a name="l00421"></a><span class="lineno"> 421</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="l00422"></a><span class="lineno"> 422</span> </div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  <span class="comment">// Check if the file is large enough to fill the image</span></div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> current_position = _fs.tellg();</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  _fs.seekg(0, std::ios_base::end);</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> end_position = _fs.tellg();</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  _fs.seekg(current_position, std::ios_base::beg);</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span> </div><div class="line"><a name="l00429"></a><span class="lineno"> 429</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(),</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  <span class="stringliteral">"Not enough data in file"</span>);</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(end_position);</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span> </div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  <span class="comment">// Stride across channels</span></div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  <span class="keywordtype">size_t</span> stride_z = 0;</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>  <span class="comment">// Iterate through every pixel of the image</span></div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  <a class="code" href="classarm__compute_1_1_window.xhtml">arm_compute::Window</a> window;</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  <span class="keywordflow">if</span>(data_layout == <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>)</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  {</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</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="l00441"></a><span class="lineno"> 441</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="l00442"></a><span class="lineno"> 442</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#a893d17b56b9abc4423ce26e9a24ac5dc">arm_compute::Window::DimZ</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="l00443"></a><span class="lineno"> 443</span>  stride_z = tensor.info()->strides_in_bytes()[2];</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  }</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  {</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</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="l00448"></a><span class="lineno"> 448</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, _width, 1));</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</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#a893d17b56b9abc4423ce26e9a24ac5dc">arm_compute::Window::DimZ</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="l00450"></a><span class="lineno"> 450</span>  stride_z = tensor.info()->strides_in_bytes()[0];</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  }</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="classarm__compute_1_1_iterator.xhtml">arm_compute::Iterator</a> out(&tensor, window);</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>  <span class="keywordtype">unsigned</span> <span class="keywordtype">char</span> red = 0;</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">char</span> green = 0;</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">char</span> blue = 0;</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span> </div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  <a class="code" href="namespacearm__compute.xhtml#a6c0dcc38187027dcb89cd9724bc5a823">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="l00460"></a><span class="lineno"> 460</span>  {</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  red = _fs.get();</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  green = _fs.get();</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  blue = _fs.get();</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span> </div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  <span class="keywordflow">switch</span>(tensor.info()->data_type())</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  {</div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">arm_compute::DataType::U8</a>:</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>  *(out.<a class="code" href="classarm__compute_1_1_iterator.xhtml#aeabcf37a281d780c90ebe812149a7a84">ptr</a>() + 0 * stride_z) = bgr ? blue : red;</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  *(out.<a class="code" href="classarm__compute_1_1_iterator.xhtml#aeabcf37a281d780c90ebe812149a7a84">ptr</a>() + 1 * stride_z) = green;</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  *(out.<a class="code" href="classarm__compute_1_1_iterator.xhtml#aeabcf37a281d780c90ebe812149a7a84">ptr</a>() + 2 * stride_z) = bgr ? red : blue;</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  }</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</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="l00475"></a><span class="lineno"> 475</span>  {</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  *<span class="keyword">reinterpret_cast<</span><span class="keywordtype">float</span> *<span class="keyword">></span>(out.<a class="code" href="classarm__compute_1_1_iterator.xhtml#aeabcf37a281d780c90ebe812149a7a84">ptr</a>() + 0 * stride_z) = static_cast<float>(bgr ? blue : red);</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  *<span class="keyword">reinterpret_cast<</span><span class="keywordtype">float</span> *<span class="keyword">></span>(out.<a class="code" href="classarm__compute_1_1_iterator.xhtml#aeabcf37a281d780c90ebe812149a7a84">ptr</a>() + 1 * stride_z) = static_cast<float>(green);</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  *<span class="keyword">reinterpret_cast<</span><span class="keywordtype">float</span> *<span class="keyword">></span>(out.<a class="code" href="classarm__compute_1_1_iterator.xhtml#aeabcf37a281d780c90ebe812149a7a84">ptr</a>() + 2 * stride_z) = static_cast<float>(bgr ? red : blue);</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  <span class="keywordflow">break</span>;</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">default</span>:</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>  <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="l00484"></a><span class="lineno"> 484</span>  }</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>  },</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  out);</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span> </div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  <span class="comment">// Unmap buffer if creating a CLTensor</span></div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  <a class="code" href="namespacearm__compute_1_1utils.xhtml#a4ff2134cb88cb5a27120cddb98b59774">unmap</a>(tensor);</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>  <span class="keywordflow">catch</span>(<span class="keyword">const</span> std::ifstream::failure &e)</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>  <a class="code" href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"Loading PPM file: %s"</span>, e.what());</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> </div><div class="line"><a name="l00500"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a7b736ec9a05be5c498760d35a0406ed3"> 500</a></span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a7b736ec9a05be5c498760d35a0406ed3">width</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  <span class="keywordflow">return</span> _width;</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  }</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span> </div><div class="line"><a name="l00507"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#aa420a28166e708e3f8b9ecc8e527fc09"> 507</a></span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#aa420a28166e708e3f8b9ecc8e527fc09">height</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  <span class="keywordflow">return</span> _height;</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</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> <span class="keyword">private</span>:</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  std::ifstream _fs;</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> _width, _height;</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> </div><div class="line"><a name="l00518"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml"> 518</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="l00519"></a><span class="lineno"> 519</span> {</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00522"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a59ac86360353fd935c6979105da7aefa"> 522</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="l00523"></a><span class="lineno"> 523</span>  : _fs(), _shape(), _fortran_order(false), _typestring()</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  {</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  }</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span> </div><div class="line"><a name="l00531"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a5988c0b8edbcd872e79d72cd47a8c18b"> 531</a></span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a5988c0b8edbcd872e79d72cd47a8c18b">open</a>(<span class="keyword">const</span> std::string &npy_filename)</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  {</div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(is_open());</div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  <span class="keywordflow">try</span></div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  {</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  _fs.exceptions(std::ifstream::failbit | std::ifstream::badbit);</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  _fs.open(npy_filename, std::ios::in | std::ios::binary);</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span> </div><div class="line"><a name="l00539"></a><span class="lineno"> 539</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="l00540"></a><span class="lineno"> 540</span>  }</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  <span class="keywordflow">catch</span>(<span class="keyword">const</span> std::ifstream::failure &e)</div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  {</div><div class="line"><a name="l00543"></a><span class="lineno"> 543</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="l00544"></a><span class="lineno"> 544</span>  }</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  }</div><div class="line"><a name="l00547"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a2f57f54d8c03b615bb31eee091d8a88a"> 547</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="l00548"></a><span class="lineno"> 548</span>  {</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  <span class="keywordflow">return</span> _fs.is_open();</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  }</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span> </div><div class="line"><a name="l00553"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a8aa067630bcfd267bf3389ae27e70e76"> 553</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="l00554"></a><span class="lineno"> 554</span>  {</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  <span class="keywordflow">return</span> _fortran_order;</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  }</div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span> </div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00564"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a6e3c7f7584c89bfed519597f40c08528"> 564</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="l00565"></a><span class="lineno"> 565</span>  {</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(!is_open());</div><div class="line"><a name="l00567"></a><span class="lineno"> 567</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="l00568"></a><span class="lineno"> 568</span> </div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  <span class="comment">// Use the size of the input NPY tensor</span></div><div class="line"><a name="l00570"></a><span class="lineno"> 570</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="l00571"></a><span class="lineno"> 571</span>  shape.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a810a78f0b7cc0270f38d4136e023ea3b">set_num_dimensions</a>(_shape.size());</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 0; i < _shape.size(); ++i)</div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  {</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  shape.<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#a9c54fb6cea3557692fe7c00c40bb40ad">set</a>(i, _shape.at(i));</div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  }</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>  <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">arm_compute::TensorInfo</a> tensor_info(shape, 1, dt);</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  tensor.allocator()->init(tensor_info);</div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  }</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span> </div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00588"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a055a51a536088065021a54e13968521d"> 588</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="l00589"></a><span class="lineno"> 589</span>  {</div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(!is_open());</div><div class="line"><a name="l00591"></a><span class="lineno"> 591</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>);</div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span>  <span class="keywordflow">try</span></div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  {</div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  <span class="comment">// Map buffer if creating a CLTensor</span></div><div class="line"><a name="l00595"></a><span class="lineno"> 595</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="l00596"></a><span class="lineno"> 596</span> </div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  <span class="comment">// Check if the file is large enough to fill the tensor</span></div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> current_position = _fs.tellg();</div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  _fs.seekg(0, std::ios_base::end);</div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> end_position = _fs.tellg();</div><div class="line"><a name="l00601"></a><span class="lineno"> 601</span>  _fs.seekg(current_position, std::ios_base::beg);</div><div class="line"><a name="l00602"></a><span class="lineno"> 602</span> </div><div class="line"><a name="l00603"></a><span class="lineno"> 603</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="l00604"></a><span class="lineno"> 604</span>  <span class="stringliteral">"Not enough data in file"</span>);</div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(end_position);</div><div class="line"><a name="l00606"></a><span class="lineno"> 606</span> </div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span>  <span class="comment">// Check if the typestring matches the given one</span></div><div class="line"><a name="l00608"></a><span class="lineno"> 608</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="l00609"></a><span class="lineno"> 609</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="l00610"></a><span class="lineno"> 610</span> </div><div class="line"><a name="l00611"></a><span class="lineno"> 611</span>  <span class="comment">// Validate tensor shape</span></div><div class="line"><a name="l00612"></a><span class="lineno"> 612</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="l00613"></a><span class="lineno"> 613</span>  <span class="keywordflow">if</span>(_fortran_order)</div><div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  {</div><div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 0; i < _shape.size(); ++i)</div><div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  {</div><div class="line"><a name="l00617"></a><span class="lineno"> 617</span>  <a class="code" href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>(tensor.info()->tensor_shape()[i] != _shape[i], <span class="stringliteral">"Tensor dimensions mismatch"</span>);</div><div class="line"><a name="l00618"></a><span class="lineno"> 618</span>  }</div><div class="line"><a name="l00619"></a><span class="lineno"> 619</span>  }</div><div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  <span class="keywordflow">else</span></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>  <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 0; i < _shape.size(); ++i)</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>  <a class="code" href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>(tensor.info()->tensor_shape()[i] != _shape[_shape.size() - i - 1], <span class="stringliteral">"Tensor dimensions mismatch"</span>);</div><div class="line"><a name="l00625"></a><span class="lineno"> 625</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> </div><div class="line"><a name="l00628"></a><span class="lineno"> 628</span>  <span class="keywordflow">switch</span>(tensor.info()->data_type())</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>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::DataType::F32</a>:</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="comment">// Read data</span></div><div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  <span class="keywordflow">if</span>(tensor.info()->padding().empty())</div><div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  {</div><div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  <span class="comment">// If tensor has no padding read directly from stream.</span></div><div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  _fs.read(reinterpret_cast<char *>(tensor.buffer()), tensor.info()->total_size());</div><div class="line"><a name="l00637"></a><span class="lineno"> 637</span>  }</div><div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  <span class="keywordflow">else</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="comment">// If tensor has padding accessing tensor elements through execution window.</span></div><div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> window;</div><div class="line"><a name="l00642"></a><span class="lineno"> 642</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="l00643"></a><span class="lineno"> 643</span> </div><div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  <a class="code" href="namespacearm__compute.xhtml#a6c0dcc38187027dcb89cd9724bc5a823">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="l00645"></a><span class="lineno"> 645</span>  {</div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span>  _fs.read(reinterpret_cast<char *>(tensor.ptr_to_element(<span class="keywordtype">id</span>)), tensor.info()->element_size());</div><div class="line"><a name="l00647"></a><span class="lineno"> 647</span>  });</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> </div><div class="line"><a name="l00650"></a><span class="lineno"> 650</span>  <span class="keywordflow">break</span>;</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>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00653"></a><span class="lineno"> 653</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="l00654"></a><span class="lineno"> 654</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>  <span class="comment">// Unmap buffer if creating a CLTensor</span></div><div class="line"><a name="l00657"></a><span class="lineno"> 657</span>  <a class="code" href="namespacearm__compute_1_1utils.xhtml#a4ff2134cb88cb5a27120cddb98b59774">unmap</a>(tensor);</div><div class="line"><a name="l00658"></a><span class="lineno"> 658</span>  }</div><div class="line"><a name="l00659"></a><span class="lineno"> 659</span>  <span class="keywordflow">catch</span>(<span class="keyword">const</span> std::ifstream::failure &e)</div><div class="line"><a name="l00660"></a><span class="lineno"> 660</span>  {</div><div class="line"><a name="l00661"></a><span class="lineno"> 661</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="l00662"></a><span class="lineno"> 662</span>  }</div><div class="line"><a name="l00663"></a><span class="lineno"> 663</span>  }</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> <span class="keyword">private</span>:</div><div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  std::ifstream _fs;</div><div class="line"><a name="l00667"></a><span class="lineno"> 667</span>  std::vector<unsigned long> _shape;</div><div class="line"><a name="l00668"></a><span class="lineno"> 668</span>  <span class="keywordtype">bool</span> _fortran_order;</div><div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  std::string _typestring;</div><div class="line"><a name="l00670"></a><span class="lineno"> 670</span> };</div><div class="line"><a name="l00671"></a><span class="lineno"> 671</span> </div><div class="line"><a name="l00681"></a><span class="lineno"> 681</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00682"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1utils.xhtml#a301d0b7bfd70f73fc1924f4281938d08"> 682</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="l00683"></a><span class="lineno"> 683</span> {</div><div class="line"><a name="l00684"></a><span class="lineno"> 684</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="l00685"></a><span class="lineno"> 685</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="l00686"></a><span class="lineno"> 686</span> </div><div class="line"><a name="l00687"></a><span class="lineno"> 687</span>  std::ofstream fs;</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">try</span></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>  fs.exceptions(std::ofstream::failbit | std::ofstream::badbit | std::ofstream::eofbit);</div><div class="line"><a name="l00692"></a><span class="lineno"> 692</span>  fs.open(ppm_filename, std::ios::out | std::ios::binary);</div><div class="line"><a name="l00693"></a><span class="lineno"> 693</span> </div><div class="line"><a name="l00694"></a><span class="lineno"> 694</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="l00695"></a><span class="lineno"> 695</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="l00696"></a><span class="lineno"> 696</span> </div><div class="line"><a name="l00697"></a><span class="lineno"> 697</span>  fs << <span class="stringliteral">"P6\n"</span></div><div class="line"><a name="l00698"></a><span class="lineno"> 698</span>  << width << <span class="stringliteral">" "</span> << height << <span class="stringliteral">" 255\n"</span>;</div><div class="line"><a name="l00699"></a><span class="lineno"> 699</span> </div><div class="line"><a name="l00700"></a><span class="lineno"> 700</span>  <span class="comment">// Map buffer if creating a CLTensor/GCTensor</span></div><div class="line"><a name="l00701"></a><span class="lineno"> 701</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="l00702"></a><span class="lineno"> 702</span> </div><div class="line"><a name="l00703"></a><span class="lineno"> 703</span>  <span class="keywordflow">switch</span>(tensor.info()->format())</div><div class="line"><a name="l00704"></a><span class="lineno"> 704</span>  {</div><div class="line"><a name="l00705"></a><span class="lineno"> 705</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="l00706"></a><span class="lineno"> 706</span>  {</div><div class="line"><a name="l00707"></a><span class="lineno"> 707</span>  <a class="code" href="classarm__compute_1_1_window.xhtml">arm_compute::Window</a> window;</div><div class="line"><a name="l00708"></a><span class="lineno"> 708</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="l00709"></a><span class="lineno"> 709</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="l00710"></a><span class="lineno"> 710</span> </div><div class="line"><a name="l00711"></a><span class="lineno"> 711</span>  <a class="code" href="classarm__compute_1_1_iterator.xhtml">arm_compute::Iterator</a> in(&tensor, window);</div><div class="line"><a name="l00712"></a><span class="lineno"> 712</span> </div><div class="line"><a name="l00713"></a><span class="lineno"> 713</span>  <a class="code" href="namespacearm__compute.xhtml#a6c0dcc38187027dcb89cd9724bc5a823">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="l00714"></a><span class="lineno"> 714</span>  {</div><div class="line"><a name="l00715"></a><span class="lineno"> 715</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#aeabcf37a281d780c90ebe812149a7a84">ptr</a>();</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>  fs << value << value << value;</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>  in);</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="keywordflow">break</span>;</div><div class="line"><a name="l00722"></a><span class="lineno"> 722</span>  }</div><div class="line"><a name="l00723"></a><span class="lineno"> 723</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="l00724"></a><span class="lineno"> 724</span>  {</div><div class="line"><a name="l00725"></a><span class="lineno"> 725</span>  <a class="code" href="classarm__compute_1_1_window.xhtml">arm_compute::Window</a> window;</div><div class="line"><a name="l00726"></a><span class="lineno"> 726</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="l00727"></a><span class="lineno"> 727</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="l00728"></a><span class="lineno"> 728</span> </div><div class="line"><a name="l00729"></a><span class="lineno"> 729</span>  <a class="code" href="classarm__compute_1_1_iterator.xhtml">arm_compute::Iterator</a> in(&tensor, window);</div><div class="line"><a name="l00730"></a><span class="lineno"> 730</span> </div><div class="line"><a name="l00731"></a><span class="lineno"> 731</span>  <a class="code" href="namespacearm__compute.xhtml#a6c0dcc38187027dcb89cd9724bc5a823">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="l00732"></a><span class="lineno"> 732</span>  {</div><div class="line"><a name="l00733"></a><span class="lineno"> 733</span>  fs.write(reinterpret_cast<std::fstream::char_type *>(in.<a class="code" href="classarm__compute_1_1_iterator.xhtml#aeabcf37a281d780c90ebe812149a7a84">ptr</a>()), width * tensor.info()->element_size());</div><div class="line"><a name="l00734"></a><span class="lineno"> 734</span>  },</div><div class="line"><a name="l00735"></a><span class="lineno"> 735</span>  in);</div><div class="line"><a name="l00736"></a><span class="lineno"> 736</span> </div><div class="line"><a name="l00737"></a><span class="lineno"> 737</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00738"></a><span class="lineno"> 738</span>  }</div><div class="line"><a name="l00739"></a><span class="lineno"> 739</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00740"></a><span class="lineno"> 740</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="l00741"></a><span class="lineno"> 741</span>  }</div><div class="line"><a name="l00742"></a><span class="lineno"> 742</span> </div><div class="line"><a name="l00743"></a><span class="lineno"> 743</span>  <span class="comment">// Unmap buffer if creating a CLTensor/GCTensor</span></div><div class="line"><a name="l00744"></a><span class="lineno"> 744</span>  <a class="code" href="namespacearm__compute_1_1utils.xhtml#a4ff2134cb88cb5a27120cddb98b59774">unmap</a>(tensor);</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">catch</span>(<span class="keyword">const</span> std::ofstream::failure &e)</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>  <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="l00749"></a><span class="lineno"> 749</span>  }</div><div class="line"><a name="l00750"></a><span class="lineno"> 750</span> }</div><div class="line"><a name="l00751"></a><span class="lineno"> 751</span> </div><div class="line"><a name="l00762"></a><span class="lineno"> 762</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00763"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1utils.xhtml#a3f8c80e5ec379049ad0a9ba1d8ad5547"> 763</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1utils.xhtml#a3f8c80e5ec379049ad0a9ba1d8ad5547">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="l00764"></a><span class="lineno"> 764</span> {</div><div class="line"><a name="l00765"></a><span class="lineno"> 765</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>);</div><div class="line"><a name="l00766"></a><span class="lineno"> 766</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="l00767"></a><span class="lineno"> 767</span> </div><div class="line"><a name="l00768"></a><span class="lineno"> 768</span>  std::ofstream fs;</div><div class="line"><a name="l00769"></a><span class="lineno"> 769</span> </div><div class="line"><a name="l00770"></a><span class="lineno"> 770</span>  <span class="keywordflow">try</span></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>  fs.exceptions(std::ofstream::failbit | std::ofstream::badbit | std::ofstream::eofbit);</div><div class="line"><a name="l00773"></a><span class="lineno"> 773</span>  fs.open(npy_filename, std::ios::out | std::ios::binary);</div><div class="line"><a name="l00774"></a><span class="lineno"> 774</span> </div><div class="line"><a name="l00775"></a><span class="lineno"> 775</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="l00776"></a><span class="lineno"> 776</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="l00777"></a><span class="lineno"> 777</span>  std::vector<npy::ndarray_len_t> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>(2);</div><div class="line"><a name="l00778"></a><span class="lineno"> 778</span> </div><div class="line"><a name="l00779"></a><span class="lineno"> 779</span>  <span class="keywordflow">if</span>(!fortran_order)</div><div class="line"><a name="l00780"></a><span class="lineno"> 780</span>  {</div><div class="line"><a name="l00781"></a><span class="lineno"> 781</span>  shape[0] = height, shape[1] = width;</div><div class="line"><a name="l00782"></a><span class="lineno"> 782</span>  }</div><div class="line"><a name="l00783"></a><span class="lineno"> 783</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00784"></a><span class="lineno"> 784</span>  {</div><div class="line"><a name="l00785"></a><span class="lineno"> 785</span>  shape[0] = width, shape[1] = height;</div><div class="line"><a name="l00786"></a><span class="lineno"> 786</span>  }</div><div class="line"><a name="l00787"></a><span class="lineno"> 787</span> </div><div class="line"><a name="l00788"></a><span class="lineno"> 788</span>  <span class="comment">// Map buffer if creating a CLTensor</span></div><div class="line"><a name="l00789"></a><span class="lineno"> 789</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="l00790"></a><span class="lineno"> 790</span> </div><div class="line"><a name="l00791"></a><span class="lineno"> 791</span>  <span class="keywordflow">switch</span>(tensor.info()->data_type())</div><div class="line"><a name="l00792"></a><span class="lineno"> 792</span>  {</div><div class="line"><a name="l00793"></a><span class="lineno"> 793</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="l00794"></a><span class="lineno"> 794</span>  {</div><div class="line"><a name="l00795"></a><span class="lineno"> 795</span>  std::vector<float> tmp; <span class="comment">/* Used only to get the typestring */</span></div><div class="line"><a name="l00796"></a><span class="lineno"> 796</span>  npy::Typestring typestring_o{ tmp };</div><div class="line"><a name="l00797"></a><span class="lineno"> 797</span>  std::string typestring = typestring_o.str();</div><div class="line"><a name="l00798"></a><span class="lineno"> 798</span> </div><div class="line"><a name="l00799"></a><span class="lineno"> 799</span>  std::ofstream stream(npy_filename, std::ofstream::binary);</div><div class="line"><a name="l00800"></a><span class="lineno"> 800</span>  npy::write_header(stream, typestring, fortran_order, shape);</div><div class="line"><a name="l00801"></a><span class="lineno"> 801</span> </div><div class="line"><a name="l00802"></a><span class="lineno"> 802</span>  <a class="code" href="classarm__compute_1_1_window.xhtml">arm_compute::Window</a> window;</div><div class="line"><a name="l00803"></a><span class="lineno"> 803</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="l00804"></a><span class="lineno"> 804</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="l00805"></a><span class="lineno"> 805</span> </div><div class="line"><a name="l00806"></a><span class="lineno"> 806</span>  <a class="code" href="classarm__compute_1_1_iterator.xhtml">arm_compute::Iterator</a> in(&tensor, window);</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>  <a class="code" href="namespacearm__compute.xhtml#a6c0dcc38187027dcb89cd9724bc5a823">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="l00809"></a><span class="lineno"> 809</span>  {</div><div class="line"><a name="l00810"></a><span class="lineno"> 810</span>  stream.write(reinterpret_cast<const char *>(in.<a class="code" href="classarm__compute_1_1_iterator.xhtml#aeabcf37a281d780c90ebe812149a7a84">ptr</a>()), <span class="keyword">sizeof</span>(<span class="keywordtype">float</span>));</div><div class="line"><a name="l00811"></a><span class="lineno"> 811</span>  },</div><div class="line"><a name="l00812"></a><span class="lineno"> 812</span>  in);</div><div class="line"><a name="l00813"></a><span class="lineno"> 813</span> </div><div class="line"><a name="l00814"></a><span class="lineno"> 814</span>  <span class="keywordflow">break</span>;</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">default</span>:</div><div class="line"><a name="l00817"></a><span class="lineno"> 817</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="l00818"></a><span class="lineno"> 818</span>  }</div><div class="line"><a name="l00819"></a><span class="lineno"> 819</span> </div><div class="line"><a name="l00820"></a><span class="lineno"> 820</span>  <span class="comment">// Unmap buffer if creating a CLTensor</span></div><div class="line"><a name="l00821"></a><span class="lineno"> 821</span>  <a class="code" href="namespacearm__compute_1_1utils.xhtml#a4ff2134cb88cb5a27120cddb98b59774">unmap</a>(tensor);</div><div class="line"><a name="l00822"></a><span class="lineno"> 822</span>  }</div><div class="line"><a name="l00823"></a><span class="lineno"> 823</span>  <span class="keywordflow">catch</span>(<span class="keyword">const</span> std::ofstream::failure &e)</div><div class="line"><a name="l00824"></a><span class="lineno"> 824</span>  {</div><div class="line"><a name="l00825"></a><span class="lineno"> 825</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="l00826"></a><span class="lineno"> 826</span>  }</div><div class="line"><a name="l00827"></a><span class="lineno"> 827</span> }</div><div class="line"><a name="l00828"></a><span class="lineno"> 828</span> </div><div class="line"><a name="l00834"></a><span class="lineno"> 834</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00835"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1utils.xhtml#af214346f90d640ac468dd90fa2a275cc"> 835</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="l00836"></a><span class="lineno"> 836</span> {</div><div class="line"><a name="l00837"></a><span class="lineno"> 837</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="l00838"></a><span class="lineno"> 838</span> </div><div class="line"><a name="l00839"></a><span class="lineno"> 839</span>  std::ifstream fs;</div><div class="line"><a name="l00840"></a><span class="lineno"> 840</span> </div><div class="line"><a name="l00841"></a><span class="lineno"> 841</span>  <span class="keywordflow">try</span></div><div class="line"><a name="l00842"></a><span class="lineno"> 842</span>  {</div><div class="line"><a name="l00843"></a><span class="lineno"> 843</span>  fs.exceptions(std::ofstream::failbit | std::ofstream::badbit | std::ofstream::eofbit);</div><div class="line"><a name="l00844"></a><span class="lineno"> 844</span>  <span class="comment">// Open file</span></div><div class="line"><a name="l00845"></a><span class="lineno"> 845</span>  fs.open(filename, std::ios::in | std::ios::binary);</div><div class="line"><a name="l00846"></a><span class="lineno"> 846</span> </div><div class="line"><a name="l00847"></a><span class="lineno"> 847</span>  <span class="keywordflow">if</span>(!fs.good())</div><div class="line"><a name="l00848"></a><span class="lineno"> 848</span>  {</div><div class="line"><a name="l00849"></a><span class="lineno"> 849</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="l00850"></a><span class="lineno"> 850</span>  }</div><div class="line"><a name="l00851"></a><span class="lineno"> 851</span> </div><div class="line"><a name="l00852"></a><span class="lineno"> 852</span>  <span class="comment">// Map buffer if creating a CLTensor/GCTensor</span></div><div class="line"><a name="l00853"></a><span class="lineno"> 853</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="l00854"></a><span class="lineno"> 854</span> </div><div class="line"><a name="l00855"></a><span class="lineno"> 855</span>  <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> window;</div><div class="line"><a name="l00856"></a><span class="lineno"> 856</span> </div><div class="line"><a name="l00857"></a><span class="lineno"> 857</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="l00858"></a><span class="lineno"> 858</span> </div><div class="line"><a name="l00859"></a><span class="lineno"> 859</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="l00860"></a><span class="lineno"> 860</span>  {</div><div class="line"><a name="l00861"></a><span class="lineno"> 861</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="l00862"></a><span class="lineno"> 862</span>  }</div><div class="line"><a name="l00863"></a><span class="lineno"> 863</span> </div><div class="line"><a name="l00864"></a><span class="lineno"> 864</span>  <a class="code" href="classarm__compute_1_1_iterator.xhtml">arm_compute::Iterator</a> in(&tensor, window);</div><div class="line"><a name="l00865"></a><span class="lineno"> 865</span> </div><div class="line"><a name="l00866"></a><span class="lineno"> 866</span>  <a class="code" href="namespacearm__compute.xhtml#a6c0dcc38187027dcb89cd9724bc5a823">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="l00867"></a><span class="lineno"> 867</span>  {</div><div class="line"><a name="l00868"></a><span class="lineno"> 868</span>  fs.read(reinterpret_cast<std::fstream::char_type *>(in.<a class="code" href="classarm__compute_1_1_iterator.xhtml#aeabcf37a281d780c90ebe812149a7a84">ptr</a>()), tensor.info()->tensor_shape()[0] * tensor.info()->element_size());</div><div class="line"><a name="l00869"></a><span class="lineno"> 869</span>  },</div><div class="line"><a name="l00870"></a><span class="lineno"> 870</span>  in);</div><div class="line"><a name="l00871"></a><span class="lineno"> 871</span> </div><div class="line"><a name="l00872"></a><span class="lineno"> 872</span>  <span class="comment">// Unmap buffer if creating a CLTensor/GCTensor</span></div><div class="line"><a name="l00873"></a><span class="lineno"> 873</span>  <a class="code" href="namespacearm__compute_1_1utils.xhtml#a4ff2134cb88cb5a27120cddb98b59774">unmap</a>(tensor);</div><div class="line"><a name="l00874"></a><span class="lineno"> 874</span>  }</div><div class="line"><a name="l00875"></a><span class="lineno"> 875</span>  <span class="keywordflow">catch</span>(<span class="keyword">const</span> std::ofstream::failure &e)</div><div class="line"><a name="l00876"></a><span class="lineno"> 876</span>  {</div><div class="line"><a name="l00877"></a><span class="lineno"> 877</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="l00878"></a><span class="lineno"> 878</span>  }</div><div class="line"><a name="l00879"></a><span class="lineno"> 879</span> }</div><div class="line"><a name="l00880"></a><span class="lineno"> 880</span> </div><div class="line"><a name="l00881"></a><span class="lineno"> 881</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00882"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1utils.xhtml#abe777f4e6d2b0d9964eee32f5ae3fca7"> 882</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="l00883"></a><span class="lineno"> 883</span> {</div><div class="line"><a name="l00884"></a><span class="lineno"> 884</span>  std::random_device rd;</div><div class="line"><a name="l00885"></a><span class="lineno"> 885</span>  std::mt19937 gen(rd());</div><div class="line"><a name="l00886"></a><span class="lineno"> 886</span> </div><div class="line"><a name="l00887"></a><span class="lineno"> 887</span>  <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> window;</div><div class="line"><a name="l00888"></a><span class="lineno"> 888</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="l00889"></a><span class="lineno"> 889</span> </div><div class="line"><a name="l00890"></a><span class="lineno"> 890</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="l00891"></a><span class="lineno"> 891</span> </div><div class="line"><a name="l00892"></a><span class="lineno"> 892</span>  <a class="code" href="classarm__compute_1_1_iterator.xhtml">Iterator</a> it(&tensor, window);</div><div class="line"><a name="l00893"></a><span class="lineno"> 893</span> </div><div class="line"><a name="l00894"></a><span class="lineno"> 894</span>  <span class="keywordflow">switch</span>(tensor.info()->data_type())</div><div class="line"><a name="l00895"></a><span class="lineno"> 895</span>  {</div><div class="line"><a name="l00896"></a><span class="lineno"> 896</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="l00897"></a><span class="lineno"> 897</span>  {</div><div class="line"><a name="l00898"></a><span class="lineno"> 898</span>  std::uniform_real_distribution<float> dist(lower_bound, upper_bound);</div><div class="line"><a name="l00899"></a><span class="lineno"> 899</span> </div><div class="line"><a name="l00900"></a><span class="lineno"> 900</span>  <a class="code" href="namespacearm__compute.xhtml#a6c0dcc38187027dcb89cd9724bc5a823">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="l00901"></a><span class="lineno"> 901</span>  {</div><div class="line"><a name="l00902"></a><span class="lineno"> 902</span>  *<span class="keyword">reinterpret_cast<</span><span class="keywordtype">float</span> *<span class="keyword">></span>(it.<a class="code" href="classarm__compute_1_1_iterator.xhtml#aeabcf37a281d780c90ebe812149a7a84">ptr</a>()) = dist(gen);</div><div class="line"><a name="l00903"></a><span class="lineno"> 903</span>  },</div><div class="line"><a name="l00904"></a><span class="lineno"> 904</span>  it);</div><div class="line"><a name="l00905"></a><span class="lineno"> 905</span> </div><div class="line"><a name="l00906"></a><span class="lineno"> 906</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00907"></a><span class="lineno"> 907</span>  }</div><div class="line"><a name="l00908"></a><span class="lineno"> 908</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00909"></a><span class="lineno"> 909</span>  {</div><div class="line"><a name="l00910"></a><span class="lineno"> 910</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="l00911"></a><span class="lineno"> 911</span>  }</div><div class="line"><a name="l00912"></a><span class="lineno"> 912</span>  }</div><div class="line"><a name="l00913"></a><span class="lineno"> 913</span> </div><div class="line"><a name="l00914"></a><span class="lineno"> 914</span>  <a class="code" href="namespacearm__compute_1_1utils.xhtml#a4ff2134cb88cb5a27120cddb98b59774">unmap</a>(tensor);</div><div class="line"><a name="l00915"></a><span class="lineno"> 915</span> }</div><div class="line"><a name="l00916"></a><span class="lineno"> 916</span> </div><div class="line"><a name="l00917"></a><span class="lineno"> 917</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00918"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1utils.xhtml#a3ff90da00700526d89a0ee29f85fd804"> 918</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="l00919"></a><span class="lineno"> 919</span> {</div><div class="line"><a name="l00920"></a><span class="lineno"> 920</span>  dst.allocator()->init(<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)), 1, dt));</div><div class="line"><a name="l00921"></a><span class="lineno"> 921</span> }</div><div class="line"><a name="l00926"></a><span class="lineno"> 926</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="l00927"></a><span class="lineno"> 927</span> </div><div class="line"><a name="l00935"></a><span class="lineno"> 935</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00936"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1utils.xhtml#a680c6253a783cf8591d65c3da13d3337"> 936</a></span> <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1utils.xhtml#a680c6253a783cf8591d65c3da13d3337">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)</div><div class="line"><a name="l00937"></a><span class="lineno"> 937</span> {</div><div class="line"><a name="l00938"></a><span class="lineno"> 938</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="l00939"></a><span class="lineno"> 939</span>  <a class="code" href="_validate_8h.xhtml#aafce5e9928fac427dcd29d960bcf2ae3">ARM_COMPUTE_ERROR_ON_MISMATCHING_SHAPES</a>(&tensor1, &tensor2);</div><div class="line"><a name="l00940"></a><span class="lineno"> 940</span> </div><div class="line"><a name="l00941"></a><span class="lineno"> 941</span>  <span class="keywordtype">int</span> num_mismatches = 0;</div><div class="line"><a name="l00942"></a><span class="lineno"> 942</span>  <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> window;</div><div class="line"><a name="l00943"></a><span class="lineno"> 943</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="l00944"></a><span class="lineno"> 944</span> </div><div class="line"><a name="l00945"></a><span class="lineno"> 945</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="l00946"></a><span class="lineno"> 946</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="l00947"></a><span class="lineno"> 947</span>  <a class="code" href="classarm__compute_1_1_iterator.xhtml">Iterator</a> itensor1(&tensor1, window);</div><div class="line"><a name="l00948"></a><span class="lineno"> 948</span>  <a class="code" href="classarm__compute_1_1_iterator.xhtml">Iterator</a> itensor2(&tensor2, window);</div><div class="line"><a name="l00949"></a><span class="lineno"> 949</span> </div><div class="line"><a name="l00950"></a><span class="lineno"> 950</span>  <a class="code" href="namespacearm__compute.xhtml#a6c0dcc38187027dcb89cd9724bc5a823">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="l00951"></a><span class="lineno"> 951</span>  {</div><div class="line"><a name="l00952"></a><span class="lineno"> 952</span>  <span class="keywordflow">if</span>(<a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ae115fc750a92fb6a5e094998b56fcc56">std::abs</a>(*reinterpret_cast<T *>(itensor1.<a class="code" href="classarm__compute_1_1_iterator.xhtml#aeabcf37a281d780c90ebe812149a7a84">ptr</a>()) - *reinterpret_cast<T *>(itensor2.<a class="code" href="classarm__compute_1_1_iterator.xhtml#aeabcf37a281d780c90ebe812149a7a84">ptr</a>())) > 0.00001)</div><div class="line"><a name="l00953"></a><span class="lineno"> 953</span>  {</div><div class="line"><a name="l00954"></a><span class="lineno"> 954</span>  ++num_mismatches;</div><div class="line"><a name="l00955"></a><span class="lineno"> 955</span>  }</div><div class="line"><a name="l00956"></a><span class="lineno"> 956</span>  },</div><div class="line"><a name="l00957"></a><span class="lineno"> 957</span>  itensor1, itensor2);</div><div class="line"><a name="l00958"></a><span class="lineno"> 958</span> </div><div class="line"><a name="l00959"></a><span class="lineno"> 959</span>  <a class="code" href="namespacearm__compute_1_1utils.xhtml#a4ff2134cb88cb5a27120cddb98b59774">unmap</a>(itensor1);</div><div class="line"><a name="l00960"></a><span class="lineno"> 960</span>  <a class="code" href="namespacearm__compute_1_1utils.xhtml#a4ff2134cb88cb5a27120cddb98b59774">unmap</a>(itensor2);</div><div class="line"><a name="l00961"></a><span class="lineno"> 961</span> </div><div class="line"><a name="l00962"></a><span class="lineno"> 962</span>  <span class="keywordflow">return</span> num_mismatches;</div><div class="line"><a name="l00963"></a><span class="lineno"> 963</span> }</div><div class="line"><a name="l00964"></a><span class="lineno"> 964</span> } <span class="comment">// namespace utils</span></div><div class="line"><a name="l00965"></a><span class="lineno"> 965</span> } <span class="comment">// namespace arm_compute</span></div><div class="line"><a name="l00966"></a><span class="lineno"> 966</span> <span class="preprocessor">#endif </span><span class="comment">/* __UTILS_UTILS_H__*/</span><span class="preprocessor"></span></div><div class="ttc" id="classarm__compute_1_1utils_1_1_p_p_m_loader_xhtml_aa420a28166e708e3f8b9ecc8e527fc09"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#aa420a28166e708e3f8b9ecc8e527fc09">arm_compute::utils::PPMLoader::height</a></div><div class="ttdeci">unsigned int height() const </div><div class="ttdoc">Return the height of the currently open PPM file. </div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00507">Utils.h:507</a></div></div>
121 <div class="ttc" id="classarm__compute_1_1utils_1_1_p_p_m_loader_xhtml_a1672610b872bef30d0dc2333a0ffc402"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a1672610b872bef30d0dc2333a0ffc402">arm_compute::utils::PPMLoader::fill_image</a></div><div class="ttdeci">void fill_image(T &image)</div><div class="ttdoc">Fill an image with the content of the currently open PPM file. </div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00318">Utils.h:318</a></div></div>
122 <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#l00260">Error.h:260</a></div></div>
123 <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#l00682">Utils.h:682</a></div></div>
124 <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_convolution_8cpp_source.xhtml#l00133">Convolution.cpp:133</a></div></div>
125 <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#l00070">Utils.cpp:70</a></div></div>
126 <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#l00199">Utils.cpp:199</a></div></div>
127 <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>
128 <div class="ttc" id="_toolchain_support_8h_xhtml"><div class="ttname"><a href="_toolchain_support_8h.xhtml">ToolchainSupport.h</a></div></div>
129 <div class="ttc" id="classarm__compute_1_1utils_1_1_example_xhtml_a96b30c1d1256c2ab3f731a162ad08609"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_example.xhtml#a96b30c1d1256c2ab3f731a162ad08609">arm_compute::utils::Example::do_setup</a></div><div class="ttdeci">virtual void 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#l00070">Utils.h:70</a></div></div>
130 <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#l00553">Utils.h:553</a></div></div>
131 <div class="ttc" id="_i_tensor_8h_xhtml"><div class="ttname"><a href="_i_tensor_8h.xhtml">ITensor.h</a></div></div>
132 <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>
133 <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&#39;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#l00564">Utils.h:564</a></div></div>
134 <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>
135 <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#l00197">ToolchainSupport.h:197</a></div></div>
136 <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#l00707">Validate.h:707</a></div></div>
137 <div class="ttc" id="_c_l_tensor_8h_xhtml"><div class="ttname"><a href="_c_l_tensor_8h.xhtml">CLTensor.h</a></div></div>
138 <div class="ttc" id="_window_8h_xhtml"><div class="ttname"><a href="_window_8h.xhtml">Window.h</a></div></div>
139 <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#l00588">Utils.h:588</a></div></div>
140 <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>
141 <div class="ttc" id="namespacearm__compute_xhtml_a74ce3f7420453d3446218ff3b7453e02ad770ba3ce18fa409965dfdf5e7c348e6"><div class="ttname"><a href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02ad770ba3ce18fa409965dfdf5e7c348e6">arm_compute::DataLayoutDimension::HEIGHT</a></div><div class="ttdoc">height </div></div>
142 <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#l00328">Error.h:328</a></div></div>
143 <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&#39;s dimensions with a start, end and step. </div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00068">Window.h:68</a></div></div>
144 <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>
145 <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>
146 <div class="ttc" id="classarm__compute_1_1_g_c_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_g_c_tensor.xhtml">arm_compute::GCTensor</a></div><div class="ttdoc">Interface for OpenGL ES tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_g_c_tensor_8h_source.xhtml#l00037">GCTensor.h:37</a></div></div>
147 <div class="ttc" id="classarm__compute_1_1_c_l_distribution1_d_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_distribution1_d.xhtml">arm_compute::CLDistribution1D</a></div><div class="ttdoc">CLDistribution1D object class. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_distribution1_d_8h_source.xhtml#l00036">CLDistribution1D.h:36</a></div></div>
148 <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&#39;s dimensions to fill the window dimensions. </div><div class="ttdef"><b>Definition:</b> <a href="_window_8inl_source.xhtml#l00240">Window.inl:240</a></div></div>
149 <div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">This file contains all available output stages for GEMMLowp on OpenCL. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00001">00_introduction.dox:1</a></div></div>
150 <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>
151 <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>
152 <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#l00074">Utils.h:74</a></div></div>
153 <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#l00191">Utils.h:191</a></div></div>
154 <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#l00882">Utils.h:882</a></div></div>
155 <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>
156 <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>
157 <div class="ttc" id="classarm__compute_1_1_iterator_xhtml_aeabcf37a281d780c90ebe812149a7a84"><div class="ttname"><a href="classarm__compute_1_1_iterator.xhtml#aeabcf37a281d780c90ebe812149a7a84">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>
158 <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>
159 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ac2ad7f431e3446fddcd9b6b9f93c4c14"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">arm_compute::test::validation::data_type</a></div><div class="ttdeci">data_type</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_g_e_m_m_8cpp_source.xhtml#l00116">GEMM.cpp:116</a></div></div>
160 <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#l00128">Utils.h:128</a></div></div>
161 <div class="ttc" id="classarm__compute_1_1utils_1_1_p_p_m_loader_xhtml_a36e58f3e64f3851ebac7a9556b4704ed"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a36e58f3e64f3851ebac7a9556b4704ed">arm_compute::utils::PPMLoader::open</a></div><div class="ttdeci">void open(const std::string &ppm_filename)</div><div class="ttdoc">Open a PPM file and reads its metadata (Width, height) </div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00270">Utils.h:270</a></div></div>
162 <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>
163 <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>
164 <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#l00159">Error.h:159</a></div></div>
165 <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#l00072">Utils.h:72</a></div></div>
166 <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>
167 <div class="ttc" id="namespacearm__compute_1_1utils_xhtml_a680c6253a783cf8591d65c3da13d3337"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#a680c6253a783cf8591d65c3da13d3337">arm_compute::utils::compare_tensor</a></div><div class="ttdeci">int compare_tensor(ITensor &tensor1, ITensor &tensor2)</div><div class="ttdoc">Compare to tensor. </div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00936">Utils.h:936</a></div></div>
168 <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>
169 <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">arm_compute::Format</a></div><div class="ttdeci">Format</div><div class="ttdoc">Image colour formats. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00050">Types.h:50</a></div></div>
170 <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#l00518">Utils.h:518</a></div></div>
171 <div class="ttc" id="namespacearm__compute_xhtml_a6c0dcc38187027dcb89cd9724bc5a823"><div class="ttname"><a href="namespacearm__compute.xhtml#a6c0dcc38187027dcb89cd9724bc5a823">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>
172 <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>
173 <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#l00522">Utils.h:522</a></div></div>
174 <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>
175 <div class="ttc" id="classarm__compute_1_1_c_l_distribution1_d_xhtml_a14c53d2d17be6fa8a2c9861527c7b002"><div class="ttname"><a href="classarm__compute_1_1_c_l_distribution1_d.xhtml#a14c53d2d17be6fa8a2c9861527c7b002">arm_compute::CLDistribution1D::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>
176 <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#l00175">Utils.cpp:175</a></div></div>
177 <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#l00062">Utils.h:62</a></div></div>
178 <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&#39;s metadata. </div></div>
179 <div class="ttc" id="classarm__compute_1_1utils_1_1_p_p_m_loader_xhtml_a2f57f54d8c03b615bb31eee091d8a88a"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a2f57f54d8c03b615bb31eee091d8a88a">arm_compute::utils::PPMLoader::is_open</a></div><div class="ttdeci">bool is_open()</div><div class="ttdoc">Return true if a PPM file is currently open. </div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00290">Utils.h:290</a></div></div>
180 <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_convolution_8cpp_source.xhtml#l00137">Convolution.cpp:137</a></div></div>
181 <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#l00041">Window.inl:41</a></div></div>
182 <div class="ttc" id="namespacearm__compute_xhtml_a74ce3f7420453d3446218ff3b7453e02af52e9c50a060add65a035429b2a22229"><div class="ttname"><a href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02af52e9c50a060add65a035429b2a22229">arm_compute::DataLayoutDimension::CHANNEL</a></div><div class="ttdoc">channel </div></div>
183 <div class="ttc" id="classarm__compute_1_1_c_l_distribution1_d_xhtml_a1ffeb3b5abb3d61f62b58a391816201c"><div class="ttname"><a href="classarm__compute_1_1_c_l_distribution1_d.xhtml#a1ffeb3b5abb3d61f62b58a391816201c">arm_compute::CLDistribution1D::unmap</a></div><div class="ttdeci">void unmap()</div><div class="ttdoc">Enqueue an unmap operation of the allocated and mapped buffer. </div></div>
184 <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#l00547">Utils.h:547</a></div></div>
185 <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>
186 <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>
187 <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#l00802">Validate.h:802</a></div></div>
188 <div class="ttc" id="namespacearm__compute_1_1utils_xhtml_a3f8c80e5ec379049ad0a9ba1d8ad5547"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#a3f8c80e5ec379049ad0a9ba1d8ad5547">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#l00763">Utils.h:763</a></div></div>
189 <div class="ttc" id="classarm__compute_1_1_g_c_tensor_xhtml_a1ffeb3b5abb3d61f62b58a391816201c"><div class="ttname"><a href="classarm__compute_1_1_g_c_tensor.xhtml#a1ffeb3b5abb3d61f62b58a391816201c">arm_compute::GCTensor::unmap</a></div><div class="ttdeci">void unmap()</div><div class="ttdoc">Enqueue an unmap operation of the allocated and mapped buffer on the given queue. ...</div></div>
190 <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>
191 <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>
192 <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#l00180">Utils.h:180</a></div></div>
193 <div class="ttc" id="classarm__compute_1_1_window_xhtml_a893d17b56b9abc4423ce26e9a24ac5dc"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#a893d17b56b9abc4423ce26e9a24ac5dc">arm_compute::Window::DimZ</a></div><div class="ttdeci">static constexpr size_t DimZ</div><div class="ttdoc">Alias for dimension 2 also known as Z dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00047">Window.h:47</a></div></div>
194 <div class="ttc" id="classarm__compute_1_1utils_1_1_p_p_m_loader_xhtml_a7c3f70e1caee95bb95c62346e130e5ab"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a7c3f70e1caee95bb95c62346e130e5ab">arm_compute::utils::PPMLoader::fill_planar_tensor</a></div><div class="ttdeci">void fill_planar_tensor(T &tensor, bool bgr=false)</div><div class="ttdoc">Fill a tensor with 3 planes (one for each channel) with the content of the currently open PPM file...</div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00405">Utils.h:405</a></div></div>
195 <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#l00543">Types.h:543</a></div></div>
196 <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#l00107">Utils.cpp:107</a></div></div>
197 <div class="ttc" id="_open_c_l_8h_xhtml"><div class="ttname"><a href="_open_c_l_8h.xhtml">OpenCL.h</a></div></div>
198 <div class="ttc" id="classarm__compute_1_1_g_c_tensor_xhtml_a14c53d2d17be6fa8a2c9861527c7b002"><div class="ttname"><a href="classarm__compute_1_1_g_c_tensor.xhtml#a14c53d2d17be6fa8a2c9861527c7b002">arm_compute::GCTensor::map</a></div><div class="ttdeci">void map(bool blocking=true)</div><div class="ttdoc">Enqueue a map operation of the allocated buffer on the given queue. </div></div>
199 <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#l00144">Utils.cpp:144</a></div></div>
200 <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>
201 <div class="ttc" id="namespacearm__compute_xhtml_a74ce3f7420453d3446218ff3b7453e02a49da85b69bc6285eeee286ca49fa7195"><div class="ttname"><a href="namespacearm__compute.xhtml#a74ce3f7420453d3446218ff3b7453e02a49da85b69bc6285eeee286ca49fa7195">arm_compute::DataLayoutDimension::WIDTH</a></div><div class="ttdoc">width </div></div>
202 <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&#39;s metadata. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00045">TensorInfo.h:45</a></div></div>
203 <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>
204 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a497347573faa3778743ddf277f861094"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a497347573faa3778743ddf277f861094">arm_compute::test::validation::c</a></div><div class="ttdeci">CLTensor c</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_g_e_m_m_8cpp_source.xhtml#l00123">GEMM.cpp:123</a></div></div>
205 <div class="ttc" id="classarm__compute_1_1utils_1_1_p_p_m_loader_xhtml_a49afa04c8a5fd9ead48e07440b37294c"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a49afa04c8a5fd9ead48e07440b37294c">arm_compute::utils::PPMLoader::PPMLoader</a></div><div class="ttdeci">PPMLoader()</div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00262">Utils.h:262</a></div></div>
206 <div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a810a78f0b7cc0270f38d4136e023ea3b"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a810a78f0b7cc0270f38d4136e023ea3b">arm_compute::Dimensions::set_num_dimensions</a></div><div class="ttdeci">void set_num_dimensions(size_t num_dimensions)</div><div class="ttdoc">Set number of dimensions. </div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00128">Dimensions.h:128</a></div></div>
207 <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#l00835">Utils.h:835</a></div></div>
208 <div class="ttc" id="classarm__compute_1_1utils_1_1_n_p_y_loader_xhtml_a5988c0b8edbcd872e79d72cd47a8c18b"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a5988c0b8edbcd872e79d72cd47a8c18b">arm_compute::utils::NPYLoader::open</a></div><div class="ttdeci">void open(const std::string &npy_filename)</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#l00531">Utils.h:531</a></div></div>
209 <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>
210 <div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_ae115fc750a92fb6a5e094998b56fcc56"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ae115fc750a92fb6a5e094998b56fcc56">arm_compute::test::fixed_point_arithmetic::detail::abs</a></div><div class="ttdeci">fixed_point< T > abs(fixed_point< T > x)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00927">FixedPoint.h:927</a></div></div>
211 <div class="ttc" id="classarm__compute_1_1utils_1_1_p_p_m_loader_xhtml_a69f2a0e263d4f77d1e166de9cd2746f7"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a69f2a0e263d4f77d1e166de9cd2746f7">arm_compute::utils::PPMLoader::init_image</a></div><div class="ttdeci">void init_image(T &image, arm_compute::Format format)</div><div class="ttdoc">Initialise an image&#39;s metadata with the dimensions of the PPM file currently open. </div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00301">Utils.h:301</a></div></div>
212 <div class="ttc" id="namespacearm__compute_xhtml_a46e938020a3ac8c926d0590b7fe957db"><div class="ttname"><a href="namespacearm__compute.xhtml#a46e938020a3ac8c926d0590b7fe957db">arm_compute::get_data_layout_dimension_index</a></div><div class="ttdeci">size_t get_data_layout_dimension_index(const DataLayout data_layout, const DataLayoutDimension data_layout_dimension)</div><div class="ttdoc">Get the index of the given dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00340">Helpers.inl:340</a></div></div>
213 <div class="ttc" id="classarm__compute_1_1utils_1_1_p_p_m_loader_xhtml_a7b736ec9a05be5c498760d35a0406ed3"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a7b736ec9a05be5c498760d35a0406ed3">arm_compute::utils::PPMLoader::width</a></div><div class="ttdeci">unsigned int width() const </div><div class="ttdoc">Return the width of the currently open PPM file. </div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00500">Utils.h:500</a></div></div>
214 <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#l00284">Helpers.h:284</a></div></div>
215 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a7b8004eef325a40dd43eb80755610fff"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a7b8004eef325a40dd43eb80755610fff">arm_compute::test::validation::b</a></div><div class="ttdeci">CLTensor b</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_g_e_m_m_8cpp_source.xhtml#l00122">GEMM.cpp:122</a></div></div>
216 <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>
217 <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>
218 <div class="ttc" id="runtime_2_tensor_8h_xhtml"><div class="ttname"><a href="runtime_2_tensor_8h.xhtml">Tensor.h</a></div></div>
219 <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#l00072">Types.h:72</a></div></div>
220 <div class="ttc" id="_g_c_tensor_8h_xhtml"><div class="ttname"><a href="_g_c_tensor_8h.xhtml">GCTensor.h</a></div></div>
221 <div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml_a1ffeb3b5abb3d61f62b58a391816201c"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml#a1ffeb3b5abb3d61f62b58a391816201c">arm_compute::CLTensor::unmap</a></div><div class="ttdeci">void unmap()</div><div class="ttdoc">Enqueue an unmap operation of the allocated and mapped buffer. </div></div>
222 <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#l00918">Utils.h:918</a></div></div>
223 <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">Supported tensor data layouts. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00110">Types.h:110</a></div></div>
224 <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>
225 <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>
226 <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>
227 <div class="ttc" id="classarm__compute_1_1utils_1_1_p_p_m_loader_xhtml"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml">arm_compute::utils::PPMLoader</a></div><div class="ttdoc">Class to load the content of a PPM file into an Image. </div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00259">Utils.h:259</a></div></div>
228 <div class="ttc" id="_validate_8h_xhtml"><div class="ttname"><a href="_validate_8h.xhtml">Validate.h</a></div></div>
229 <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#l00319">Error.h:319</a></div></div>
230 <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#l00756">Validate.h:756</a></div></div>
231 <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#l00039">CLTensor.h:39</a></div></div>
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237 <li class="navelem"><a class="el" href="dir_cbdb8362360e11eafe2fa3bc74cf0ffd.xhtml">utils</a></li><li class="navelem"><a class="el" href="utils_2_utils_8h.xhtml">Utils.h</a></li>
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