<tr style="height: 56px;">
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<div id="projectname">Compute Library
-  <span id="projectnumber">17.09</span>
+  <span id="projectnumber">17.10</span>
</div>
</td>
</tr>
<div class="summary">
<a href="#pub-methods">Public Member Functions</a> </div>
<div class="headertitle">
-<div class="title">NumPyBinLoader Class Reference</div> </div>
+<div class="title">NumPyBinLoader Class Reference<span class="mlabels"><span class="mlabel">final</span></span></div> </div>
</div><!--header-->
<div class="contents">
<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock"><p>Numpy Binary loader class. </p>
-<p>Definition at line <a class="el" href="_graph_utils_8h_source.xhtml#l00
077">77</a> of file <a class="el" href="_graph_utils_8h_source.xhtml">GraphUtils.h</a>.</p>
+<p>Definition at line <a class="el" href="_graph_utils_8h_source.xhtml#l00
105">105</a> of file <a class="el" href="_graph_utils_8h_source.xhtml">GraphUtils.h</a>.</p>
</div><h2 class="groupheader">Constructor & Destructor Documentation</h2>
<a class="anchor" id="ab708c11aea0f419821cd053e3e7dae89"></a>
<div class="memitem">
</dd>
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-<p>Definition at line <a class="el" href="_graph_utils_8cpp_source.xhtml#l00
088">88</a> of file <a class="el" href="_graph_utils_8cpp_source.xhtml">GraphUtils.cpp</a>.</p>
-<div class="fragment"><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  : _filename(std::move(filename))</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> }</div>
+<p>Definition at line <a class="el" href="_graph_utils_8cpp_source.xhtml#l00
200">200</a> of file <a class="el" href="_graph_utils_8cpp_source.xhtml">GraphUtils.cpp</a>.</p>
+<div class="fragment"><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  : _filename(std::move(filename))</div>
+<div class="line"><a name="l00202"></a><span class="lineno"> 202</span> {</div>
+<div class="line"><a name="l00203"></a><span class="lineno"> 203</span> }</div>
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</div>
<p>Implements <a class="el" href="classarm__compute_1_1graph_1_1_i_tensor_accessor.xhtml#a497873c25847d7b4f60f37a1a3aa7665">ITensorAccessor</a>.</p>
-<p>Definition at line <a class="el" href="_graph_utils_8cpp_source.xhtml#l00
093">93</a> of file <a class="el" href="_graph_utils_8cpp_source.xhtml">GraphUtils.cpp</a>.</p>
+<p>Definition at line <a class="el" href="_graph_utils_8cpp_source.xhtml#l00
205">205</a> of file <a class="el" href="_graph_utils_8cpp_source.xhtml">GraphUtils.cpp</a>.</p>
<p>References <a class="el" href="_error_8h_source.xhtml#l00031">ARM_COMPUTE_ERROR</a>, <a class="el" href="_error_8h_source.xhtml#l00115">ARM_COMPUTE_ERROR_ON_MSG</a>, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml#ab988210662dbd3bf32fd563c7dd1bdbf">ITensor::buffer()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">ITensorInfo::data_type()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#aa459796b5489eca8a9160cb5dcf1a103">ITensorInfo::element_size()</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l00163">BorderSize::empty()</a>, <a class="el" href="_helpers_8inl_source.xhtml#l00127">arm_compute::execute_window_loop()</a>, <a class="el" href="utils_2_utils_8h_source.xhtml#l00411">arm_compute::utils::get_typestring()</a>, <a class="el" href="hwc_8hpp_source.xhtml#l00261">header</a>, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">ITensor::info()</a>, <a class="el" href="_dimensions_8h_source.xhtml#l00109">Dimensions< T >::num_dimensions()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a07b929c34ad1dc823d8315876aa403ce">ITensorInfo::padding()</a>, <a class="el" href="_i_tensor_8h_source.xhtml#l00063">ITensor::ptr_to_element()</a>, <a class="el" href="_c_l_2_min_max_location_8cpp_source.xhtml#l00089">arm_compute::test::validation::shape</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">ITensorInfo::tensor_shape()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a18064e0011c3869d884653e9e7c47b66">ITensorInfo::total_size()</a>, and <a class="el" href="_window_8inl_source.xhtml#l00204">Window::use_tensor_dimensions()</a>.</p>
-<div class="fragment"><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> {</div>
-<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="keyword">const</span> TensorShape tensor_shape = tensor.info()->tensor_shape();</div>
-<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  std::vector<unsigned long> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>;</div>
-<div class="line"><a name="l00097"></a><span class="lineno"> 97</span> </div>
-<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="comment">// Open file</span></div>
-<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  std::ifstream stream(_filename, std::ios::in | std::ios::binary);</div>
-<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <a class="code" href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>(!stream.good(), <span class="stringliteral">"Failed to load binary data"</span>);</div>
-<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="comment">// Check magic bytes and version number</span></div>
-<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">char</span> v_major = 0;</div>
-<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">char</span> v_minor = 0;</div>
-<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  npy::read_magic(stream, &v_major, &v_minor);</div>
-<div class="line"><a name="l00105"></a><span class="lineno"> 105</span> </div>
-<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="comment">// Read header</span></div>
-<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  std::string <a class="code" href="hwc_8hpp.xhtml#a9d9174de5edba1e56fbfd90dc5e60f75">header</a>;</div>
-<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keywordflow">if</span>(v_major == 1 && v_minor == 0)</div>
-<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  {</div>
-<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  header = npy::read_header_1_0(stream);</div>
-<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  }</div>
-<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(v_major == 2 && v_minor == 0)</div>
-<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  {</div>
-<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  header = npy::read_header_2_0(stream);</div>
-<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  }</div>
-<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="keywordflow">else</span></div>
-<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  {</div>
-<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <a class="code" href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"Unsupported file format version"</span>);</div>
-<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  }</div>
-<div class="line"><a name="l00120"></a><span class="lineno"> 120</span> </div>
-<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="comment">// Parse header</span></div>
-<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="keywordtype">bool</span> fortran_order = <span class="keyword">false</span>;</div>
-<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  std::string typestr;</div>
-<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  npy::ParseHeader(header, typestr, &fortran_order, shape);</div>
-<div class="line"><a name="l00125"></a><span class="lineno"> 125</span> </div>
-<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="comment">// Check if the typestring matches the given one</span></div>
-<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  std::string expect_typestr = <a class="code" href="namespacearm__compute_1_1utils.xhtml#a7990fd2b875e2f6d4c1eded54539cb19">arm_compute::utils::get_typestring</a>(tensor.info()->data_type());</div>
-<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <a class="code" href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>(typestr != expect_typestr, <span class="stringliteral">"Typestrings mismatch"</span>);</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">// Validate tensor shape</span></div>
-<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <a class="code" href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>(shape.size() != tensor_shape.num_dimensions(), <span class="stringliteral">"Tensor ranks mismatch"</span>);</div>
-<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="keywordflow">if</span>(fortran_order)</div>
-<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  {</div>
-<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 0; i < shape.size(); ++i)</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>  <a class="code" href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>(tensor_shape[i] != shape[i], <span class="stringliteral">"Tensor dimensions mismatch"</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>  }</div>
-<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keywordflow">else</span></div>
-<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  {</div>
-<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 0; i < shape.size(); ++i)</div>
-<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  {</div>
-<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <a class="code" href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>(tensor_shape[i] != shape[shape.size() - i - 1], <span class="stringliteral">"Tensor dimensions mismatch"</span>);</div>
-<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  }</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> </div>
-<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="comment">// Read data</span></div>
-<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keywordflow">if</span>(tensor.info()->padding().empty())</div>
-<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  {</div>
-<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="comment">// If tensor has no padding read directly from stream.</span></div>
-<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  stream.read(reinterpret_cast<char *>(tensor.buffer()), tensor.info()->total_size());</div>
-<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  }</div>
-<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="keywordflow">else</span></div>
-<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  {</div>
-<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="comment">// If tensor has padding accessing tensor elements through execution window.</span></div>
-<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  Window window;</div>
-<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  window.use_tensor_dimensions(tensor_shape);</div>
-<div class="line"><a name="l00158"></a><span class="lineno"> 158</span> </div>
-<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <a class="code" href="namespacearm__compute.xhtml#a6c0dcc38187027dcb89cd9724bc5a823">execute_window_loop</a>(window, [&](<span class="keyword">const</span> Coordinates & <span class="keywordtype">id</span>)</div>
-<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  {</div>
-<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  stream.read(reinterpret_cast<char *>(tensor.ptr_to_element(<span class="keywordtype">id</span>)), tensor.info()->element_size());</div>
-<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  });</div>
-<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  }</div>
-<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
-<div class="line"><a name="l00165"></a><span class="lineno"> 165</span> }</div>
-<div class="ttc" id="_error_8h_xhtml_a05b19c75afe9c24200a62b9724734bbd"><div class="ttname"><a href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR(...)</div><div class="ttdoc">Print the given message then throw an std::runtime_error. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00031">Error.h:31</a></div></div>
+<div class="fragment"><div class="line"><a name="l00206"></a><span class="lineno"> 206</span> {</div>
+<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="keyword">const</span> TensorShape tensor_shape = tensor.info()->tensor_shape();</div>
+<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  std::vector<unsigned long> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>;</div>
+<div class="line"><a name="l00209"></a><span class="lineno"> 209</span> </div>
+<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <span class="comment">// Open file</span></div>
+<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  std::ifstream stream(_filename, std::ios::in | std::ios::binary);</div>
+<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <a class="code" href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>(!stream.good(), <span class="stringliteral">"Failed to load binary data"</span>);</div>
+<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <span class="comment">// Check magic bytes and version number</span></div>
+<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">char</span> v_major = 0;</div>
+<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">char</span> v_minor = 0;</div>
+<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  npy::read_magic(stream, &v_major, &v_minor);</div>
+<div class="line"><a name="l00217"></a><span class="lineno"> 217</span> </div>
+<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <span class="comment">// Read header</span></div>
+<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  std::string <a class="code" href="hwc_8hpp.xhtml#a9d9174de5edba1e56fbfd90dc5e60f75">header</a>;</div>
+<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="keywordflow">if</span>(v_major == 1 && v_minor == 0)</div>
+<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  {</div>
+<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  header = npy::read_header_1_0(stream);</div>
+<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  }</div>
+<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(v_major == 2 && v_minor == 0)</div>
+<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  {</div>
+<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  header = npy::read_header_2_0(stream);</div>
+<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  }</div>
+<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="keywordflow">else</span></div>
+<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  {</div>
+<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <a class="code" href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"Unsupported file format version"</span>);</div>
+<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  }</div>
+<div class="line"><a name="l00232"></a><span class="lineno"> 232</span> </div>
+<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <span class="comment">// Parse header</span></div>
+<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <span class="keywordtype">bool</span> fortran_order = <span class="keyword">false</span>;</div>
+<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  std::string typestr;</div>
+<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  npy::ParseHeader(header, typestr, &fortran_order, shape);</div>
+<div class="line"><a name="l00237"></a><span class="lineno"> 237</span> </div>
+<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="comment">// Check if the typestring matches the given one</span></div>
+<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  std::string expect_typestr = <a class="code" href="namespacearm__compute_1_1utils.xhtml#a7990fd2b875e2f6d4c1eded54539cb19">arm_compute::utils::get_typestring</a>(tensor.info()->data_type());</div>
+<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <a class="code" href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>(typestr != expect_typestr, <span class="stringliteral">"Typestrings mismatch"</span>);</div>
+<div class="line"><a name="l00241"></a><span class="lineno"> 241</span> </div>
+<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <span class="comment">// Validate tensor shape</span></div>
+<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  <a class="code" href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>(shape.size() != tensor_shape.num_dimensions(), <span class="stringliteral">"Tensor ranks mismatch"</span>);</div>
+<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <span class="keywordflow">if</span>(fortran_order)</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>  <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 0; i < shape.size(); ++i)</div>
+<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  {</div>
+<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <a class="code" href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>(tensor_shape[i] != shape[i], <span class="stringliteral">"Tensor dimensions mismatch"</span>);</div>
+<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  }</div>
+<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  }</div>
+<div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <span class="keywordflow">else</span></div>
+<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  {</div>
+<div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 0; i < shape.size(); ++i)</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>  <a class="code" href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>(tensor_shape[i] != shape[shape.size() - i - 1], <span class="stringliteral">"Tensor dimensions mismatch"</span>);</div>
+<div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  }</div>
+<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  }</div>
+<div class="line"><a name="l00258"></a><span class="lineno"> 258</span> </div>
+<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <span class="comment">// Read data</span></div>
+<div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <span class="keywordflow">if</span>(tensor.info()->padding().empty())</div>
+<div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  {</div>
+<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <span class="comment">// If tensor has no padding read directly from stream.</span></div>
+<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  stream.read(reinterpret_cast<char *>(tensor.buffer()), tensor.info()->total_size());</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>  <span class="keywordflow">else</span></div>
+<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  {</div>
+<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <span class="comment">// If tensor has padding accessing tensor elements through execution window.</span></div>
+<div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  Window window;</div>
+<div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  window.use_tensor_dimensions(tensor_shape);</div>
+<div class="line"><a name="l00270"></a><span class="lineno"> 270</span> </div>
+<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <a class="code" href="namespacearm__compute.xhtml#a6c0dcc38187027dcb89cd9724bc5a823">execute_window_loop</a>(window, [&](<span class="keyword">const</span> Coordinates & <span class="keywordtype">id</span>)</div>
+<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  {</div>
+<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  stream.read(reinterpret_cast<char *>(tensor.ptr_to_element(<span class="keywordtype">id</span>)), tensor.info()->element_size());</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>  }</div>
+<div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
+<div class="line"><a name="l00277"></a><span class="lineno"> 277</span> }<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#l00031">Error.h:31</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a45cde9abb508c62d67c3bb2b9bf566a5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">arm_compute::test::validation::shape</a></div><div class="ttdeci">shape</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_min_max_location_8cpp_source.xhtml#l00089">MinMaxLocation.cpp:89</a></div></div>
<div class="ttc" id="hwc_8hpp_xhtml_a9d9174de5edba1e56fbfd90dc5e60f75"><div class="ttname"><a href="hwc_8hpp.xhtml#a9d9174de5edba1e56fbfd90dc5e60f75">header</a></div><div class="ttdeci">union kbase_uk_hwcnt_header header</div><div class="ttdef"><b>Definition:</b> <a href="hwc_8hpp_source.xhtml#l00261">hwc.hpp:261</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1utils_xhtml_a7990fd2b875e2f6d4c1eded54539cb19"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#a7990fd2b875e2f6d4c1eded54539cb19">arm_compute::utils::get_typestring</a></div><div class="ttdeci">std::string get_typestring(DataType data_type)</div><div class="ttdoc">Obtain numpy type string from DataType. </div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00411">Utils.h:411</a></div></div>
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