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| <a href="#pub-methods">Public Member Functions</a> </div> |
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| <div class="title">NumPyBinLoader Class Reference<span class="mlabels"><span class="mlabel">final</span></span></div> </div> |
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| <div class="contents"> |
| |
| <p>Numpy Binary loader class. |
| <a href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml#details">More...</a></p> |
| |
| <p><code>#include <<a class="el" href="_graph_utils_8h_source.xhtml">GraphUtils.h</a>></code></p> |
| <div class="dynheader"> |
| Collaboration diagram for NumPyBinLoader:</div> |
| <div class="dyncontent"> |
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| </div> |
| <center><span class="legend">[<a target="top" href="graph_legend.xhtml">legend</a>]</span></center></div> |
| <table class="memberdecls"> |
| <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a> |
| Public Member Functions</h2></td></tr> |
| <tr class="memitem:ab708c11aea0f419821cd053e3e7dae89"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml#ab708c11aea0f419821cd053e3e7dae89">NumPyBinLoader</a> (std::string filename)</td></tr> |
| <tr class="memdesc:ab708c11aea0f419821cd053e3e7dae89"><td class="mdescLeft"> </td><td class="mdescRight">Default Constructor. <a href="#ab708c11aea0f419821cd053e3e7dae89">More...</a><br/></td></tr> |
| <tr class="separator:ab708c11aea0f419821cd053e3e7dae89"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a4f32ab9a631e79fe364fed57a1d0145b"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml#a4f32ab9a631e79fe364fed57a1d0145b">NumPyBinLoader</a> (<a class="el" href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml">NumPyBinLoader</a> &&)=default</td></tr> |
| <tr class="memdesc:a4f32ab9a631e79fe364fed57a1d0145b"><td class="mdescLeft"> </td><td class="mdescRight">Allows instances to move constructed. <a href="#a4f32ab9a631e79fe364fed57a1d0145b">More...</a><br/></td></tr> |
| <tr class="separator:a4f32ab9a631e79fe364fed57a1d0145b"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ab469d593b4bc92e1d1132a03de0aedca"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml#ab469d593b4bc92e1d1132a03de0aedca">access_tensor</a> (<a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> &tensor) override</td></tr> |
| <tr class="memdesc:ab469d593b4bc92e1d1132a03de0aedca"><td class="mdescLeft"> </td><td class="mdescRight">Interface to be implemented to access a given tensor. <a href="#ab469d593b4bc92e1d1132a03de0aedca">More...</a><br/></td></tr> |
| <tr class="separator:ab469d593b4bc92e1d1132a03de0aedca"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="inherit_header pub_methods_classarm__compute_1_1graph_1_1_i_tensor_accessor"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1graph_1_1_i_tensor_accessor')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="classarm__compute_1_1graph_1_1_i_tensor_accessor.xhtml">ITensorAccessor</a></td></tr> |
| <tr class="memitem:a3c7f21c2eb00ab7ae1c18b1418c0d9c6 inherit pub_methods_classarm__compute_1_1graph_1_1_i_tensor_accessor"><td class="memItemLeft" align="right" valign="top">virtual </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1graph_1_1_i_tensor_accessor.xhtml#a3c7f21c2eb00ab7ae1c18b1418c0d9c6">~ITensorAccessor</a> ()=default</td></tr> |
| <tr class="memdesc:a3c7f21c2eb00ab7ae1c18b1418c0d9c6 inherit pub_methods_classarm__compute_1_1graph_1_1_i_tensor_accessor"><td class="mdescLeft"> </td><td class="mdescRight">Default virtual destructor. <a href="#a3c7f21c2eb00ab7ae1c18b1418c0d9c6">More...</a><br/></td></tr> |
| <tr class="separator:a3c7f21c2eb00ab7ae1c18b1418c0d9c6 inherit pub_methods_classarm__compute_1_1graph_1_1_i_tensor_accessor"><td class="memSeparator" colspan="2"> </td></tr> |
| </table> |
| <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#l00105">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"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml">NumPyBinLoader</a> </td> |
| <td>(</td> |
| <td class="paramtype">std::string </td> |
| <td class="paramname"><em>filename</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Default Constructor. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramname">filename</td><td>Binary file name </td></tr> |
| </table> |
| </dd> |
| </dl> |
| |
| <p>Definition at line <a class="el" href="_graph_utils_8cpp_source.xhtml#l00200">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> |
| </div><!-- fragment --> |
| </div> |
| </div> |
| <a class="anchor" id="a4f32ab9a631e79fe364fed57a1d0145b"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml">NumPyBinLoader</a> </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1graph__utils_1_1_num_py_bin_loader.xhtml">NumPyBinLoader</a> && </td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">default</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Allows instances to move constructed. </p> |
| |
| </div> |
| </div> |
| <h2 class="groupheader">Member Function Documentation</h2> |
| <a class="anchor" id="ab469d593b4bc92e1d1132a03de0aedca"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">bool access_tensor </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> & </td> |
| <td class="paramname"><em>tensor</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Interface to be implemented to access a given tensor. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">tensor</td><td><a class="el" href="classarm__compute_1_1_tensor.xhtml" title="Basic implementation of the tensor interface. ">Tensor</a> to be accessed</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>True if access is successful else false </dd></dl> |
| |
| <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#l00205">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="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> |
| <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#l00127">Helpers.inl:127</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a5bbdcf574d3f5e412fa6a1117911e67b"><div class="ttname"><a href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_MSG(cond,...)</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00115">Error.h:115</a></div></div> |
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| <hr/>The documentation for this class was generated from the following files:<ul> |
| <li>utils/<a class="el" href="_graph_utils_8h_source.xhtml">GraphUtils.h</a></li> |
| <li>utils/<a class="el" href="_graph_utils_8cpp_source.xhtml">GraphUtils.cpp</a></li> |
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