<tr style="height: 56px;">
<td style="padding-left: 0.5em;">
<div id="projectname">Compute Library
-  <span id="projectnumber">18.01</span>
+  <span id="projectnumber">18.02</span>
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</td>
</tr>
</dd>
</dl>
-<p>Definition at line <a class="el" href="_assets_library_8cpp_source.xhtml#l00
188">188</a> of file <a class="el" href="_assets_library_8cpp_source.xhtml">AssetsLibrary.cpp</a>.</p>
-<div class="fragment"><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  : _library_path(std::move(<a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a9b67b266207227062c7a2961ef85293a">path</a>)),</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  _seed{ <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a4035a1140831801ced5dfa1d9fe6988a">seed</a> }</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span> {</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span> }</div><div class="ttc" id="classarm__compute_1_1test_1_1_assets_library_xhtml_a4035a1140831801ced5dfa1d9fe6988a"><div class="ttname"><a href="classarm__compute_1_1test_1_1_assets_library.xhtml#a4035a1140831801ced5dfa1d9fe6988a">arm_compute::test::AssetsLibrary::seed</a></div><div class="ttdeci">std::random_device::result_type seed() const </div><div class="ttdoc">Seed that is used to fill tensors with random values. </div><div class="ttdef"><b>Definition:</b> <a href="_assets_library_8cpp_source.xhtml#l00199">AssetsLibrary.cpp:199</a></div></div>
-<div class="ttc" id="classarm__compute_1_1test_1_1_assets_library_xhtml_a9b67b266207227062c7a2961ef85293a"><div class="ttname"><a href="classarm__compute_1_1test_1_1_assets_library.xhtml#a9b67b266207227062c7a2961ef85293a">arm_compute::test::AssetsLibrary::path</a></div><div class="ttdeci">std::string path() const </div><div class="ttdoc">Path to assets directory used to initialise library. </div><div class="ttdef"><b>Definition:</b> <a href="_assets_library_8cpp_source.xhtml#l00194">AssetsLibrary.cpp:194</a></div></div>
+<p>Definition at line <a class="el" href="_assets_library_8cpp_source.xhtml#l00
209">209</a> of file <a class="el" href="_assets_library_8cpp_source.xhtml">AssetsLibrary.cpp</a>.</p>
+<div class="fragment"><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  : _library_path(std::move(<a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a9b67b266207227062c7a2961ef85293a">path</a>)),</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  _seed{ <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a4035a1140831801ced5dfa1d9fe6988a">seed</a> }</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> }</div><div class="ttc" id="classarm__compute_1_1test_1_1_assets_library_xhtml_a4035a1140831801ced5dfa1d9fe6988a"><div class="ttname"><a href="classarm__compute_1_1test_1_1_assets_library.xhtml#a4035a1140831801ced5dfa1d9fe6988a">arm_compute::test::AssetsLibrary::seed</a></div><div class="ttdeci">std::random_device::result_type seed() const </div><div class="ttdoc">Seed that is used to fill tensors with random values. </div><div class="ttdef"><b>Definition:</b> <a href="_assets_library_8cpp_source.xhtml#l00220">AssetsLibrary.cpp:220</a></div></div>
+<div class="ttc" id="classarm__compute_1_1test_1_1_assets_library_xhtml_a9b67b266207227062c7a2961ef85293a"><div class="ttname"><a href="classarm__compute_1_1test_1_1_assets_library.xhtml#a9b67b266207227062c7a2961ef85293a">arm_compute::test::AssetsLibrary::path</a></div><div class="ttdeci">std::string path() const </div><div class="ttdoc">Path to assets directory used to initialise library. </div><div class="ttdef"><b>Definition:</b> <a href="_assets_library_8cpp_source.xhtml#l00215">AssetsLibrary.cpp:215</a></div></div>
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</div>
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<p>Definition at line <a class="el" href="_assets_library_8h_source.xhtml#l00417">417</a> of file <a class="el" href="_assets_library_8h_source.xhtml">AssetsLibrary.h</a>.</p>
-<p>References <a class="el" href="_
helpers_8inl_source.xhtml#l00122">arm_compute::execute_window_loop()</a>, <a class="el" href="_assets_library_8h_source.xhtml#l00388">AssetsLibrary::fill_borders_with_garbage()</a>, <a class="el" href="_window_8inl_source.xhtml#l00040">Window::set()</a>, <a class="el" href="tests_2_utils_8h_source.xhtml#l00308">arm_compute::test::store_value_with_data_type()</a>, and <a class="el" href="hwc_8hpp_source.xhtml#l00278">value</a>.</p>
+<p>References <a class="el" href="_
assets_library_8h_source.xhtml#l00388">AssetsLibrary::fill_borders_with_garbage()</a>, <a class="el" href="tests_2_utils_8h_source.xhtml#l00403">arm_compute::test::index2coord()</a>, <a class="el" href="tests_2_utils_8h_source.xhtml#l00308">arm_compute::test::store_value_with_data_type()</a>, and <a class="el" href="hwc_8hpp_source.xhtml#l00278">value</a>.</p>
-<p>Referenced by <a class="el" href="_assets_library_8cpp_source.xhtml#l00210">AssetsLibrary::fill()</a>, and <a class="el" href="_assets_library_8h_source.xhtml#l00501">AssetsLibrary::fill_tensor_uniform()</a>.</p>
-<div class="fragment"><div class="line"><a name="l00418"></a><span class="lineno"> 418</span> {</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span> 
Window window;</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> d = 0; d < tensor.shape().num_dimensions(); ++d)</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  {</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  window.set(d, Window::Dimension(0, tensor.shape()[d], 1));</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  }</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span> </div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  std::mt19937 gen(_seed + seed_offset);</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span> </div><div class="line"><a name="l00427"></a><span class="lineno"> 427</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="l00428"></a><span class="lineno"> 428</span>  {</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  <span class="keyword">using</span> ResultType = <span class="keyword">typename</span> std::remove_reference<D>::type::result_type;</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  <span class="keyword">const</span> ResultType <a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a> = distribution(gen);</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  <span class="keywordtype">void</span> *<span class="keyword">const</span> out_ptr = tensor(<span class="keywordtype">id</span>);</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a1e6934e95738573214c2ce1d6648d116">store_value_with_data_type</a>(out_ptr, value, tensor.data_type());</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  });</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span> </div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a9a6d9b68649fb7444ca36b5c651dfdda">fill_borders_with_garbage</a>(tensor, distribution, seed_offset);</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span> }</div><div class="ttc" id="classarm__compute_1_1test_1_1_assets_library_xhtml_a9a6d9b68649fb7444ca36b5c651dfdda"><div class="ttname"><a href="classarm__compute_1_1test_1_1_assets_library.xhtml#a9a6d9b68649fb7444ca36b5c651dfdda">arm_compute::test::AssetsLibrary::fill_borders_with_garbage</a></div><div class="ttdeci">void fill_borders_with_garbage(T &&tensor, D &&distribution, std::random_device::result_type seed_offset) const </div><div class="ttdoc">Puts garbage values all around the tensor for testing purposes. </div><div class="ttdef"><b>Definition:</b> <a href="_assets_library_8h_source.xhtml#l00388">AssetsLibrary.h:388</a></div></div>
+<p>Referenced by <a class="el" href="_assets_library_8cpp_source.xhtml#l00231">AssetsLibrary::fill()</a>, and <a class="el" href="_assets_library_8h_source.xhtml#l00504">AssetsLibrary::fill_tensor_uniform()</a>.</p>
+<div class="fragment"><div class="line"><a name="l00418"></a><span class="lineno"> 418</span> {</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span> 
<span class="keyword">using</span> ResultType = <span class="keyword">typename</span> std::remove_reference<D>::type::result_type;</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span> </div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  std::mt19937 gen(_seed + seed_offset);</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">// Iterate over all elements</span></div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> element_idx = 0; element_idx < tensor.num_elements(); ++element_idx)</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  {</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  <span class="keyword">const</span> Coordinates <span class="keywordtype">id</span> = <a class="code" href="namespacearm__compute_1_1test.xhtml#a24d8c0391cfa38e78969b6ad97c0ff09">index2coord</a>(tensor.shape(), element_idx);</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span> </div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  <span class="comment">// Iterate over all channels</span></div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> channel = 0; channel < tensor.num_channels(); ++channel)</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  {</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  <span class="keyword">const</span> ResultType <a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a> = distribution(gen);</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  ResultType &target_value = <span class="keyword">reinterpret_cast<</span>ResultType *const<span class="keyword">></span>(tensor(<span class="keywordtype">id</span>))[channel];</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span> </div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a1e6934e95738573214c2ce1d6648d116">store_value_with_data_type</a>(&target_value, value, tensor.data_type());</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  }</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  }</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span> </div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a9a6d9b68649fb7444ca36b5c651dfdda">fill_borders_with_garbage</a>(tensor, distribution, seed_offset);</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span> }</div><div class="ttc" id="classarm__compute_1_1test_1_1_assets_library_xhtml_a9a6d9b68649fb7444ca36b5c651dfdda"><div class="ttname"><a href="classarm__compute_1_1test_1_1_assets_library.xhtml#a9a6d9b68649fb7444ca36b5c651dfdda">arm_compute::test::AssetsLibrary::fill_borders_with_garbage</a></div><div class="ttdeci">void fill_borders_with_garbage(T &&tensor, D &&distribution, std::random_device::result_type seed_offset) const </div><div class="ttdoc">Puts garbage values all around the tensor for testing purposes. </div><div class="ttdef"><b>Definition:</b> <a href="_assets_library_8h_source.xhtml#l00388">AssetsLibrary.h:388</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_xhtml_a1e6934e95738573214c2ce1d6648d116"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#a1e6934e95738573214c2ce1d6648d116">arm_compute::test::store_value_with_data_type</a></div><div class="ttdeci">void store_value_with_data_type(void *ptr, T value, DataType data_type)</div><div class="ttdoc">Write the value after casting the pointer according to data_type. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2_utils_8h_source.xhtml#l00308">Utils.h:308</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#l00122">Helpers.inl:122</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1test_xhtml_a24d8c0391cfa38e78969b6ad97c0ff09"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#a24d8c0391cfa38e78969b6ad97c0ff09">arm_compute::test::index2coord</a></div><div class="ttdeci">Coordinates index2coord(const TensorShape &shape, int index)</div><div class="ttdoc">Convert a linear index into n-dimensional coordinates. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2_utils_8h_source.xhtml#l00403">Utils.h:403</a></div></div>
<div class="ttc" id="hwc_8hpp_xhtml_a0f61d63b009d0880a89c843bd50d8d76"><div class="ttname"><a href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a></div><div class="ttdeci">void * value</div><div class="ttdef"><b>Definition:</b> <a href="hwc_8hpp_source.xhtml#l00278">hwc.hpp:278</a></div></div>
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</dl>
<dl class="section note"><dt>Note</dt><dd>The <code>distribution</code> has to provide operator(Generator &) which will be used to draw samples. </dd></dl>
-<p>Definition at line <a class="el" href="_assets_library_8h_source.xhtml#l004
39">439</a> of file <a class="el" href="_assets_library_8h_source.xhtml">AssetsLibrary.h</a>.</p>
+<p>Definition at line <a class="el" href="_assets_library_8h_source.xhtml#l004
42">442</a> of file <a class="el" href="_assets_library_8h_source.xhtml">AssetsLibrary.h</a>.</p>
-<p>References <a class="el" href="_simple_tensor_8h_source.xhtml#l003
28">SimpleTensor< T >::data()</a>, <a class="el" href="_simple_tensor_8h_source.xhtml#l00282">SimpleTensor< T >::data_type()</a>, <a class="el" href="_simple_tensor_8h_source.xhtml#l00251">SimpleTensor< T >::element_size()</a>, <a class="el" href="helpers_8h_source.xhtml#l00301">offset()</a>, <a class="el" href="_simple_tensor_8h_source.xhtml#l00269">SimpleTensor< T >::size()</a>, <a class="el" href="tests_2_utils_8h_source.xhtml#l00308">arm_compute::test::store_value_with_data_type()</a>, and <a class="el" href="hwc_8hpp_source.xhtml#l00278">value</a>.</p>
-<div class="fragment"><div class="line"><a name="l0044
0"></a><span class="lineno"> 440</span> {</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  std::mt19937 gen(_seed + seed_offset);</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span> </div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> <a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = 0; <a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> < raw.size(); <a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> += raw.element_size())</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="keyword">using</span> ResultType = <span class="keyword">typename</span> std::remove_reference<D>::type::result_type;</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  <span class="keyword">const</span> ResultType <a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a> = distribution(gen);</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a1e6934e95738573214c2ce1d6648d116">store_value_with_data_type</a>(raw.data() + <a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>, <a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a>, raw.data_type());</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  }</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span> }</div><div class="ttc" id="helpers_8h_xhtml_a009469e4d9b8fce3b6d5e97d2077827d"><div class="ttname"><a href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a></div><div class="ttdeci">__global uchar * offset(const Image *img, int x, int y)</div><div class="ttdoc">Get the pointer position of a Image. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00301">helpers.h:301</a></div></div>
+<p>References <a class="el" href="_simple_tensor_8h_source.xhtml#l003
43">SimpleTensor< T >::data()</a>, <a class="el" href="_simple_tensor_8h_source.xhtml#l00282">SimpleTensor< T >::data_type()</a>, <a class="el" href="_simple_tensor_8h_source.xhtml#l00251">SimpleTensor< T >::element_size()</a>, <a class="el" href="helpers_8h_source.xhtml#l00301">offset()</a>, <a class="el" href="_simple_tensor_8h_source.xhtml#l00269">SimpleTensor< T >::size()</a>, <a class="el" href="tests_2_utils_8h_source.xhtml#l00308">arm_compute::test::store_value_with_data_type()</a>, and <a class="el" href="hwc_8hpp_source.xhtml#l00278">value</a>.</p>
+<div class="fragment"><div class="line"><a name="l0044
3"></a><span class="lineno"> 443</span> {</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  std::mt19937 gen(_seed + seed_offset);</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span> </div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> <a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = 0; <a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> < raw.size(); <a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> += raw.element_size())</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  {</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  <span class="keyword">using</span> ResultType = <span class="keyword">typename</span> std::remove_reference<D>::type::result_type;</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  <span class="keyword">const</span> ResultType <a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a> = distribution(gen);</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a1e6934e95738573214c2ce1d6648d116">store_value_with_data_type</a>(raw.data() + <a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>, <a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a>, raw.data_type());</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="ttc" id="helpers_8h_xhtml_a009469e4d9b8fce3b6d5e97d2077827d"><div class="ttname"><a href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a></div><div class="ttdeci">__global uchar * offset(const Image *img, int x, int y)</div><div class="ttdoc">Get the pointer position of a Image. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00301">helpers.h:301</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_xhtml_a1e6934e95738573214c2ce1d6648d116"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#a1e6934e95738573214c2ce1d6648d116">arm_compute::test::store_value_with_data_type</a></div><div class="ttdeci">void store_value_with_data_type(void *ptr, T value, DataType data_type)</div><div class="ttdoc">Write the value after casting the pointer according to data_type. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2_utils_8h_source.xhtml#l00308">Utils.h:308</a></div></div>
<div class="ttc" id="hwc_8hpp_xhtml_a0f61d63b009d0880a89c843bd50d8d76"><div class="ttname"><a href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a></div><div class="ttdeci">void * value</div><div class="ttdef"><b>Definition:</b> <a href="hwc_8hpp_source.xhtml#l00278">hwc.hpp:278</a></div></div>
</div><!-- fragment -->
</dl>
<dl class="section warning"><dt>Warning</dt><dd>No check is performed that the specified format actually matches the format of the tensor. </dd></dl>
-<p>Definition at line <a class="el" href="_assets_library_8h_source.xhtml#l0045
2">452</a> of file <a class="el" href="_assets_library_8h_source.xhtml">AssetsLibrary.h</a>.</p>
+<p>Definition at line <a class="el" href="_assets_library_8h_source.xhtml#l0045
5">455</a> of file <a class="el" href="_assets_library_8h_source.xhtml">AssetsLibrary.h</a>.</p>
-<p>References <a class="el" href="_simple_tensor_8h_source.xhtml#l003
28">SimpleTensor< T >::data()</a>, <a class="el" href="_simple_tensor_8h_source.xhtml#l00251">SimpleTensor< T >::element_size()</a>, <a class="el" href="tests_2_utils_8h_source.xhtml#l00403">arm_compute::test::index2coord()</a>, <a class="el" href="helpers_8h_source.xhtml#l00301">offset()</a>, <a class="el" href="_simple_tensor_8h_source.xhtml#l00245">SimpleTensor< T >::shape()</a>, and <a class="el" href="_simple_tensor_8h_source.xhtml#l00269">SimpleTensor< T >::size()</a>.</p>
-<div class="fragment"><div class="line"><a name="l0045
3"></a><span class="lineno"> 453</span> {</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  <span class="keyword">const</span> RawTensor &raw = <span class="keyword">get</span>(name, format);</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span> </div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> <a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = 0; <a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> < raw.size(); <a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> += raw.element_size())</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  {</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  <span class="keyword">const</span> Coordinates <span class="keywordtype">id</span> = <a class="code" href="namespacearm__compute_1_1test.xhtml#a24d8c0391cfa38e78969b6ad97c0ff09">index2coord</a>(raw.shape(), <a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> / raw.element_size());</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span> </div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#afb9ded5f49336ae503bb9f2035ea902b">RawTensor::value_type</a> *<span class="keyword">const</span> raw_ptr = raw.data() + <a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>;</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  <span class="keyword">const</span> <span class="keyword">auto</span> out_ptr = <span class="keyword">static_cast<</span><a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#afb9ded5f49336ae503bb9f2035ea902b">RawTensor::value_type</a> *<span class="keyword">></span>(tensor(<span class="keywordtype">id</span>));</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  std::copy_n(raw_ptr, raw.element_size(), out_ptr);</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  }</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span> }</div><div class="ttc" id="helpers_8h_xhtml_a009469e4d9b8fce3b6d5e97d2077827d"><div class="ttname"><a href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a></div><div class="ttdeci">__global uchar * offset(const Image *img, int x, int y)</div><div class="ttdoc">Get the pointer position of a Image. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00301">helpers.h:301</a></div></div>
+<p>References <a class="el" href="_simple_tensor_8h_source.xhtml#l003
43">SimpleTensor< T >::data()</a>, <a class="el" href="_simple_tensor_8h_source.xhtml#l00251">SimpleTensor< T >::element_size()</a>, <a class="el" href="tests_2_utils_8h_source.xhtml#l00403">arm_compute::test::index2coord()</a>, <a class="el" href="helpers_8h_source.xhtml#l00301">offset()</a>, <a class="el" href="_simple_tensor_8h_source.xhtml#l00245">SimpleTensor< T >::shape()</a>, and <a class="el" href="_simple_tensor_8h_source.xhtml#l00269">SimpleTensor< T >::size()</a>.</p>
+<div class="fragment"><div class="line"><a name="l0045
6"></a><span class="lineno"> 456</span> {</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  <span class="keyword">const</span> RawTensor &raw = <span class="keyword">get</span>(name, format);</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>  <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> <a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = 0; <a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> < raw.size(); <a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> += raw.element_size())</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>  <span class="keyword">const</span> Coordinates <span class="keywordtype">id</span> = <a class="code" href="namespacearm__compute_1_1test.xhtml#a24d8c0391cfa38e78969b6ad97c0ff09">index2coord</a>(raw.shape(), <a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> / raw.element_size());</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span> </div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#afb9ded5f49336ae503bb9f2035ea902b">RawTensor::value_type</a> *<span class="keyword">const</span> raw_ptr = raw.data() + <a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>;</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  <span class="keyword">const</span> <span class="keyword">auto</span> out_ptr = <span class="keyword">static_cast<</span><a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#afb9ded5f49336ae503bb9f2035ea902b">RawTensor::value_type</a> *<span class="keyword">></span>(tensor(<span class="keywordtype">id</span>));</div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  std::copy_n(raw_ptr, raw.element_size(), out_ptr);</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> }</div><div class="ttc" id="helpers_8h_xhtml_a009469e4d9b8fce3b6d5e97d2077827d"><div class="ttname"><a href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a></div><div class="ttdeci">__global uchar * offset(const Image *img, int x, int y)</div><div class="ttdoc">Get the pointer position of a Image. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00301">helpers.h:301</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_afb9ded5f49336ae503bb9f2035ea902b"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#afb9ded5f49336ae503bb9f2035ea902b">arm_compute::test::SimpleTensor< uint8_t >::value_type</a></div><div class="ttdeci">uint8_t value_type</div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00099">SimpleTensor.h:99</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_xhtml_a24d8c0391cfa38e78969b6ad97c0ff09"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#a24d8c0391cfa38e78969b6ad97c0ff09">arm_compute::test::index2coord</a></div><div class="ttdeci">Coordinates index2coord(const TensorShape &shape, int index)</div><div class="ttdoc">Convert a linear index into n-dimensional coordinates. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2_utils_8h_source.xhtml#l00403">Utils.h:403</a></div></div>
</div><!-- fragment -->
</dl>
<dl class="section warning"><dt>Warning</dt><dd>No check is performed that the specified format actually matches the format of the tensor. </dd></dl>
-<p>Definition at line <a class="el" href="_assets_library_8cpp_source.xhtml#l002
04">204</a> of file <a class="el" href="_assets_library_8cpp_source.xhtml">AssetsLibrary.cpp</a>.</p>
+<p>Definition at line <a class="el" href="_assets_library_8cpp_source.xhtml#l002
25">225</a> of file <a class="el" href="_assets_library_8cpp_source.xhtml">AssetsLibrary.cpp</a>.</p>
-<p>References <a class="el" href="_simple_tensor_8h_source.xhtml#l003
28">SimpleTensor< T >::data()</a>, and <a class="el" href="_simple_tensor_8h_source.xhtml#l00269">SimpleTensor< T >::size()</a>.</p>
-<div class="fragment"><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>  <span class="keyword">const</span> RawTensor &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a> = <span class="keyword">get</span>(name, format);</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  std::copy_n(src.data(), raw.size(), raw.data());</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span> }</div><div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a6743f0a130e8311e6f5b1a23df102472"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">arm_compute::test::validation::src</a></div><div class="ttdeci">convolution configure & src</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_8cpp_source.xhtml#l00133">Convolution.cpp:133</a></div></div>
+<p>References <a class="el" href="_simple_tensor_8h_source.xhtml#l003
43">SimpleTensor< T >::data()</a>, and <a class="el" href="_simple_tensor_8h_source.xhtml#l00269">SimpleTensor< T >::size()</a>.</p>
+<div class="fragment"><div class="line"><a name="l00226"></a><span class="lineno"> 226</span> {</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="keyword">const</span> RawTensor &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a> = <span class="keyword">get</span>(name, format);</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  std::copy_n(src.data(), raw.size(), raw.data());</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span> }</div><div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a6743f0a130e8311e6f5b1a23df102472"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">arm_compute::test::validation::src</a></div><div class="ttdeci">convolution configure & src</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_8cpp_source.xhtml#l00147">Convolution.cpp:147</a></div></div>
</div><!-- fragment -->
</div>
</div>
<dl class="section note"><dt>Note</dt><dd>The channel has to be unambiguous so that the format can be inferred automatically.</dd></dl>
<dl class="section warning"><dt>Warning</dt><dd>No check is performed that the specified format actually matches the format of the tensor. </dd></dl>
-<p>Definition at line <a class="el" href="_assets_library_8h_source.xhtml#l004
67">467</a> of file <a class="el" href="_assets_library_8h_source.xhtml">AssetsLibrary.h</a>.</p>
+<p>Definition at line <a class="el" href="_assets_library_8h_source.xhtml#l004
70">470</a> of file <a class="el" href="_assets_library_8h_source.xhtml">AssetsLibrary.h</a>.</p>
<p>References <a class="el" href="_assets_library_8h_source.xhtml#l00417">AssetsLibrary::fill()</a>, and <a class="el" href="tests_2_utils_8h_source.xhtml#l00138">arm_compute::test::get_format_for_channel()</a>.</p>
-<div class="fragment"><div class="line"><a name="l004
68"></a><span class="lineno"> 468</span> {</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(std::forward<T>(tensor), name, <a class="code" href="namespacearm__compute_1_1test.xhtml#aa337ab76176f3c4193642ac6de3a61cf">get_format_for_channel</a>(channel), channel);</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span> }</div><div class="ttc" id="classarm__compute_1_1test_1_1_assets_library_xhtml_a80a7b5ae084bf22b91bc5f68a06711c0"><div class="ttname"><a href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">arm_compute::test::AssetsLibrary::fill</a></div><div class="ttdeci">void fill(T &&tensor, D &&distribution, std::random_device::result_type seed_offset) const </div><div class="ttdoc">Fills the specified tensor with random values drawn from distribution. </div><div class="ttdef"><b>Definition:</b> <a href="_assets_library_8h_source.xhtml#l00417">AssetsLibrary.h:417</a></div></div>
+<div class="fragment"><div class="line"><a name="l004
71"></a><span class="lineno"> 471</span> {</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(std::forward<T>(tensor), name, <a class="code" href="namespacearm__compute_1_1test.xhtml#aa337ab76176f3c4193642ac6de3a61cf">get_format_for_channel</a>(channel), channel);</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span> }</div><div class="ttc" id="classarm__compute_1_1test_1_1_assets_library_xhtml_a80a7b5ae084bf22b91bc5f68a06711c0"><div class="ttname"><a href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">arm_compute::test::AssetsLibrary::fill</a></div><div class="ttdeci">void fill(T &&tensor, D &&distribution, std::random_device::result_type seed_offset) const </div><div class="ttdoc">Fills the specified tensor with random values drawn from distribution. </div><div class="ttdef"><b>Definition:</b> <a href="_assets_library_8h_source.xhtml#l00417">AssetsLibrary.h:417</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_xhtml_aa337ab76176f3c4193642ac6de3a61cf"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#aa337ab76176f3c4193642ac6de3a61cf">arm_compute::test::get_format_for_channel</a></div><div class="ttdeci">Format get_format_for_channel(Channel channel)</div><div class="ttdoc">Look up the format corresponding to a channel. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2_utils_8h_source.xhtml#l00138">Utils.h:138</a></div></div>
</div><!-- fragment -->
</div>
<dl class="section note"><dt>Note</dt><dd>The channel has to be unambiguous so that the format can be inferred automatically.</dd></dl>
<dl class="section warning"><dt>Warning</dt><dd>No check is performed that the specified format actually matches the format of the tensor. </dd></dl>
-<p>Definition at line <a class="el" href="_assets_library_8cpp_source.xhtml#l002
10">210</a> of file <a class="el" href="_assets_library_8cpp_source.xhtml">AssetsLibrary.cpp</a>.</p>
+<p>Definition at line <a class="el" href="_assets_library_8cpp_source.xhtml#l002
31">231</a> of file <a class="el" href="_assets_library_8cpp_source.xhtml">AssetsLibrary.cpp</a>.</p>
<p>References <a class="el" href="_assets_library_8h_source.xhtml#l00417">AssetsLibrary::fill()</a>, and <a class="el" href="tests_2_utils_8h_source.xhtml#l00138">arm_compute::test::get_format_for_channel()</a>.</p>
-<div class="fragment"><div class="line"><a name="l002
11"></a><span class="lineno"> 211</span> {</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(raw, name, <a class="code" href="namespacearm__compute_1_1test.xhtml#aa337ab76176f3c4193642ac6de3a61cf">get_format_for_channel</a>(channel), channel);</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span> }</div><div class="ttc" id="classarm__compute_1_1test_1_1_assets_library_xhtml_a80a7b5ae084bf22b91bc5f68a06711c0"><div class="ttname"><a href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">arm_compute::test::AssetsLibrary::fill</a></div><div class="ttdeci">void fill(T &&tensor, D &&distribution, std::random_device::result_type seed_offset) const </div><div class="ttdoc">Fills the specified tensor with random values drawn from distribution. </div><div class="ttdef"><b>Definition:</b> <a href="_assets_library_8h_source.xhtml#l00417">AssetsLibrary.h:417</a></div></div>
+<div class="fragment"><div class="line"><a name="l002
32"></a><span class="lineno"> 232</span> {</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(raw, name, <a class="code" href="namespacearm__compute_1_1test.xhtml#aa337ab76176f3c4193642ac6de3a61cf">get_format_for_channel</a>(channel), channel);</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span> }</div><div class="ttc" id="classarm__compute_1_1test_1_1_assets_library_xhtml_a80a7b5ae084bf22b91bc5f68a06711c0"><div class="ttname"><a href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">arm_compute::test::AssetsLibrary::fill</a></div><div class="ttdeci">void fill(T &&tensor, D &&distribution, std::random_device::result_type seed_offset) const </div><div class="ttdoc">Fills the specified tensor with random values drawn from distribution. </div><div class="ttdef"><b>Definition:</b> <a href="_assets_library_8h_source.xhtml#l00417">AssetsLibrary.h:417</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_xhtml_aa337ab76176f3c4193642ac6de3a61cf"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#aa337ab76176f3c4193642ac6de3a61cf">arm_compute::test::get_format_for_channel</a></div><div class="ttdeci">Format get_format_for_channel(Channel channel)</div><div class="ttdoc">Look up the format corresponding to a channel. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2_utils_8h_source.xhtml#l00138">Utils.h:138</a></div></div>
</div><!-- fragment -->
</div>
</dl>
<dl class="section warning"><dt>Warning</dt><dd>No check is performed that the specified format actually matches the format of the tensor. </dd></dl>
-<p>Definition at line <a class="el" href="_assets_library_8h_source.xhtml#l0047
3">473</a> of file <a class="el" href="_assets_library_8h_source.xhtml">AssetsLibrary.h</a>.</p>
+<p>Definition at line <a class="el" href="_assets_library_8h_source.xhtml#l0047
6">476</a> of file <a class="el" href="_assets_library_8h_source.xhtml">AssetsLibrary.h</a>.</p>
-<p>References <a class="el" href="_simple_tensor_8h_source.xhtml#l003
28">SimpleTensor< T >::data()</a>, <a class="el" href="_simple_tensor_8h_source.xhtml#l00251">SimpleTensor< T >::element_size()</a>, <a class="el" href="tests_2_utils_8h_source.xhtml#l00403">arm_compute::test::index2coord()</a>, <a class="el" href="helpers_8h_source.xhtml#l00301">offset()</a>, <a class="el" href="_simple_tensor_8h_source.xhtml#l00245">SimpleTensor< T >::shape()</a>, and <a class="el" href="_simple_tensor_8h_source.xhtml#l00269">SimpleTensor< T >::size()</a>.</p>
-<div class="fragment"><div class="line"><a name="l0047
4"></a><span class="lineno"> 474</span> {</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  <span class="keyword">const</span> RawTensor &raw = <span class="keyword">get</span>(name, format, channel);</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span> </div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> <a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = 0; <a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> < raw.size(); <a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> += raw.element_size())</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  {</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  <span class="keyword">const</span> Coordinates <span class="keywordtype">id</span> = <a class="code" href="namespacearm__compute_1_1test.xhtml#a24d8c0391cfa38e78969b6ad97c0ff09">index2coord</a>(raw.shape(), <a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> / raw.element_size());</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="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#afb9ded5f49336ae503bb9f2035ea902b">RawTensor::value_type</a> *<span class="keyword">const</span> raw_ptr = raw.data() + <a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>;</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  <span class="keyword">const</span> <span class="keyword">auto</span> out_ptr = <span class="keyword">static_cast<</span><a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#afb9ded5f49336ae503bb9f2035ea902b">RawTensor::value_type</a> *<span class="keyword">></span>(tensor(<span class="keywordtype">id</span>));</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  std::copy_n(raw_ptr, raw.element_size(), out_ptr);</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="ttc" id="helpers_8h_xhtml_a009469e4d9b8fce3b6d5e97d2077827d"><div class="ttname"><a href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a></div><div class="ttdeci">__global uchar * offset(const Image *img, int x, int y)</div><div class="ttdoc">Get the pointer position of a Image. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00301">helpers.h:301</a></div></div>
+<p>References <a class="el" href="_simple_tensor_8h_source.xhtml#l003
43">SimpleTensor< T >::data()</a>, <a class="el" href="_simple_tensor_8h_source.xhtml#l00251">SimpleTensor< T >::element_size()</a>, <a class="el" href="tests_2_utils_8h_source.xhtml#l00403">arm_compute::test::index2coord()</a>, <a class="el" href="helpers_8h_source.xhtml#l00301">offset()</a>, <a class="el" href="_simple_tensor_8h_source.xhtml#l00245">SimpleTensor< T >::shape()</a>, and <a class="el" href="_simple_tensor_8h_source.xhtml#l00269">SimpleTensor< T >::size()</a>.</p>
+<div class="fragment"><div class="line"><a name="l0047
7"></a><span class="lineno"> 477</span> {</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  <span class="keyword">const</span> RawTensor &raw = <span class="keyword">get</span>(name, format, channel);</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span> </div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> <a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = 0; <a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> < raw.size(); <a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> += raw.element_size())</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  {</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  <span class="keyword">const</span> Coordinates <span class="keywordtype">id</span> = <a class="code" href="namespacearm__compute_1_1test.xhtml#a24d8c0391cfa38e78969b6ad97c0ff09">index2coord</a>(raw.shape(), <a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> / raw.element_size());</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span> </div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#afb9ded5f49336ae503bb9f2035ea902b">RawTensor::value_type</a> *<span class="keyword">const</span> raw_ptr = raw.data() + <a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>;</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  <span class="keyword">const</span> <span class="keyword">auto</span> out_ptr = <span class="keyword">static_cast<</span><a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#afb9ded5f49336ae503bb9f2035ea902b">RawTensor::value_type</a> *<span class="keyword">></span>(tensor(<span class="keywordtype">id</span>));</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  std::copy_n(raw_ptr, raw.element_size(), out_ptr);</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  }</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span> }</div><div class="ttc" id="helpers_8h_xhtml_a009469e4d9b8fce3b6d5e97d2077827d"><div class="ttname"><a href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a></div><div class="ttdeci">__global uchar * offset(const Image *img, int x, int y)</div><div class="ttdoc">Get the pointer position of a Image. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00301">helpers.h:301</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_afb9ded5f49336ae503bb9f2035ea902b"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#afb9ded5f49336ae503bb9f2035ea902b">arm_compute::test::SimpleTensor< uint8_t >::value_type</a></div><div class="ttdeci">uint8_t value_type</div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00099">SimpleTensor.h:99</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_xhtml_a24d8c0391cfa38e78969b6ad97c0ff09"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#a24d8c0391cfa38e78969b6ad97c0ff09">arm_compute::test::index2coord</a></div><div class="ttdeci">Coordinates index2coord(const TensorShape &shape, int index)</div><div class="ttdoc">Convert a linear index into n-dimensional coordinates. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2_utils_8h_source.xhtml#l00403">Utils.h:403</a></div></div>
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</dl>
<dl class="section warning"><dt>Warning</dt><dd>No check is performed that the specified format actually matches the format of the tensor. </dd></dl>
-<p>Definition at line <a class="el" href="_assets_library_8cpp_source.xhtml#l002
15">215</a> of file <a class="el" href="_assets_library_8cpp_source.xhtml">AssetsLibrary.cpp</a>.</p>
+<p>Definition at line <a class="el" href="_assets_library_8cpp_source.xhtml#l002
36">236</a> of file <a class="el" href="_assets_library_8cpp_source.xhtml">AssetsLibrary.cpp</a>.</p>
-<p>References <a class="el" href="_tensor_cache_8h_source.xhtml#l00105">TensorCache::add()</a>, <a class="el" href="
_simple_tensor_8h_source.xhtml#l00328">SimpleTensor< T >::data()</a>, <a class="el" href="_c_l_2_convolution_8cpp_source.xhtml#l00123">arm_compute::test::validation::dst</a>, <a class="el" href="_tensor_cache_8h_source.xhtml#l00093">TensorCache::find()</a>, <a class="el" href="_simple_tensor_8h_source.xhtml#l00276">SimpleTensor< T >::format()</a>, <a class="el" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aadfcf28d0734569a6a693bc8194de62bf">arm_compute::G</a>, <a class="el" href="tests_2_utils_8h_source.xhtml#l00157">arm_compute::test::get_channel_format()</a>, <a class="el" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aae1e1d3d40573127e9ee0480caf1283d6">arm_compute::R</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0">arm_compute::RGB888</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">arm_compute::S16</a>, <a class="el" href="_simple_tensor_8h_source.xhtml#l00245">SimpleTensor< T >::shape()</a>, <a class="el" href="_simple_tensor_8h_source.xhtml#l00269">SimpleTensor< T >::size()</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aef9ef3ebca4d2b64b6ec83808bafa5f2">arm_compute::U16</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee">arm_compute::U32</a>, and <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">arm_compute::U8</a>.</p>
-<div class="fragment"><div class="line"><a name="l00216"></a><span class="lineno"> 216</span> {</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <span class="keyword">const</span> RawTensor &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a> = <span class="keyword">get</span>(name, format, channel);</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  std::copy_n(src.data(), raw.size(), raw.data());</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span> }</div><div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a6743f0a130e8311e6f5b1a23df102472"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">arm_compute::test::validation::src</a></div><div class="ttdeci">convolution configure & src</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_8cpp_source.xhtml#l00133">Convolution.cpp:133</a></div></div>
+<p>References <a class="el" href="_tensor_cache_8h_source.xhtml#l00105">TensorCache::add()</a>, <a class="el" href="
namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa9d5ed678fe57bcca610140957afab571">arm_compute::B</a>, <a class="el" href="_simple_tensor_8h_source.xhtml#l00343">SimpleTensor< T >::data()</a>, <a class="el" href="_c_l_2_convolution_8cpp_source.xhtml#l00137">arm_compute::test::validation::dst</a>, <a class="el" href="_tensor_cache_8h_source.xhtml#l00093">TensorCache::find()</a>, <a class="el" href="_simple_tensor_8h_source.xhtml#l00276">SimpleTensor< T >::format()</a>, <a class="el" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aadfcf28d0734569a6a693bc8194de62bf">arm_compute::G</a>, <a class="el" href="tests_2_utils_8h_source.xhtml#l00157">arm_compute::test::get_channel_format()</a>, <a class="el" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aae1e1d3d40573127e9ee0480caf1283d6">arm_compute::R</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0">arm_compute::RGB888</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">arm_compute::S16</a>, <a class="el" href="_simple_tensor_8h_source.xhtml#l00245">SimpleTensor< T >::shape()</a>, <a class="el" href="_simple_tensor_8h_source.xhtml#l00269">SimpleTensor< T >::size()</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aef9ef3ebca4d2b64b6ec83808bafa5f2">arm_compute::U16</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee">arm_compute::U32</a>, and <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">arm_compute::U8</a>.</p>
+<div class="fragment"><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="keyword">const</span> RawTensor &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a> = <span class="keyword">get</span>(name, format, channel);</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  std::copy_n(src.data(), raw.size(), raw.data());</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span> }</div><div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a6743f0a130e8311e6f5b1a23df102472"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">arm_compute::test::validation::src</a></div><div class="ttdeci">convolution configure & src</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_8cpp_source.xhtml#l00147">Convolution.cpp:147</a></div></div>
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</dl>
<dl class="section warning"><dt>Warning</dt><dd>No check is performed that the specified format actually matches the format of the tensor. </dd></dl>
-<p>Definition at line <a class="el" href="_assets_library_8h_source.xhtml#l004
88">488</a> of file <a class="el" href="_assets_library_8h_source.xhtml">AssetsLibrary.h</a>.</p>
+<p>Definition at line <a class="el" href="_assets_library_8h_source.xhtml#l004
91">491</a> of file <a class="el" href="_assets_library_8h_source.xhtml">AssetsLibrary.h</a>.</p>
-<p>References <a class="el" href="_simple_tensor_8h_source.xhtml#l003
28">SimpleTensor< T >::data()</a>, <a class="el" href="_simple_tensor_8h_source.xhtml#l00251">SimpleTensor< T >::element_size()</a>, <a class="el" href="tests_2_utils_8h_source.xhtml#l00403">arm_compute::test::index2coord()</a>, <a class="el" href="helpers_8h_source.xhtml#l00301">offset()</a>, <a class="el" href="_simple_tensor_8h_source.xhtml#l00245">SimpleTensor< T >::shape()</a>, and <a class="el" href="_simple_tensor_8h_source.xhtml#l00269">SimpleTensor< T >::size()</a>.</p>
-<div class="fragment"><div class="line"><a name="l004
89"></a><span class="lineno"> 489</span> {</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> <a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = 0; <a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> < raw.size(); <a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> += raw.element_size())</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="keyword">const</span> Coordinates <span class="keywordtype">id</span> = <a class="code" href="namespacearm__compute_1_1test.xhtml#a24d8c0391cfa38e78969b6ad97c0ff09">index2coord</a>(raw.shape(), <a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> / raw.element_size());</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>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#afb9ded5f49336ae503bb9f2035ea902b">RawTensor::value_type</a> *<span class="keyword">const</span> raw_ptr = raw.data() + <a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>;</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  <span class="keyword">const</span> <span class="keyword">auto</span> out_ptr = <span class="keyword">static_cast<</span><a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#afb9ded5f49336ae503bb9f2035ea902b">RawTensor::value_type</a> *<span class="keyword">></span>(tensor(<span class="keywordtype">id</span>));</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  std::copy_n(raw_ptr, raw.element_size(), out_ptr);</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  }</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span> }</div><div class="ttc" id="helpers_8h_xhtml_a009469e4d9b8fce3b6d5e97d2077827d"><div class="ttname"><a href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a></div><div class="ttdeci">__global uchar * offset(const Image *img, int x, int y)</div><div class="ttdoc">Get the pointer position of a Image. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00301">helpers.h:301</a></div></div>
+<p>References <a class="el" href="_simple_tensor_8h_source.xhtml#l003
43">SimpleTensor< T >::data()</a>, <a class="el" href="_simple_tensor_8h_source.xhtml#l00251">SimpleTensor< T >::element_size()</a>, <a class="el" href="tests_2_utils_8h_source.xhtml#l00403">arm_compute::test::index2coord()</a>, <a class="el" href="helpers_8h_source.xhtml#l00301">offset()</a>, <a class="el" href="_simple_tensor_8h_source.xhtml#l00245">SimpleTensor< T >::shape()</a>, and <a class="el" href="_simple_tensor_8h_source.xhtml#l00269">SimpleTensor< T >::size()</a>.</p>
+<div class="fragment"><div class="line"><a name="l004
92"></a><span class="lineno"> 492</span> {</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> <a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> = 0; <a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> < raw.size(); <a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> += raw.element_size())</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  {</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  <span class="keyword">const</span> Coordinates <span class="keywordtype">id</span> = <a class="code" href="namespacearm__compute_1_1test.xhtml#a24d8c0391cfa38e78969b6ad97c0ff09">index2coord</a>(raw.shape(), <a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a> / raw.element_size());</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>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#afb9ded5f49336ae503bb9f2035ea902b">RawTensor::value_type</a> *<span class="keyword">const</span> raw_ptr = raw.data() + <a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>;</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  <span class="keyword">const</span> <span class="keyword">auto</span> out_ptr = <span class="keyword">static_cast<</span><a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#afb9ded5f49336ae503bb9f2035ea902b">RawTensor::value_type</a> *<span class="keyword">></span>(tensor(<span class="keywordtype">id</span>));</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  std::copy_n(raw_ptr, raw.element_size(), out_ptr);</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  }</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span> }</div><div class="ttc" id="helpers_8h_xhtml_a009469e4d9b8fce3b6d5e97d2077827d"><div class="ttname"><a href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a></div><div class="ttdeci">__global uchar * offset(const Image *img, int x, int y)</div><div class="ttdoc">Get the pointer position of a Image. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00301">helpers.h:301</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_afb9ded5f49336ae503bb9f2035ea902b"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#afb9ded5f49336ae503bb9f2035ea902b">arm_compute::test::SimpleTensor< uint8_t >::value_type</a></div><div class="ttdeci">uint8_t value_type</div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00099">SimpleTensor.h:99</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_xhtml_a24d8c0391cfa38e78969b6ad97c0ff09"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#a24d8c0391cfa38e78969b6ad97c0ff09">arm_compute::test::index2coord</a></div><div class="ttdeci">Coordinates index2coord(const TensorShape &shape, int index)</div><div class="ttdoc">Convert a linear index into n-dimensional coordinates. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2_utils_8h_source.xhtml#l00403">Utils.h:403</a></div></div>
</div><!-- fragment -->
<p>Definition at line <a class="el" href="_assets_library_8h_source.xhtml#l00388">388</a> of file <a class="el" href="_assets_library_8h_source.xhtml">AssetsLibrary.h</a>.</p>
-<p>References <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l002
72">BorderSize::bottom</a>, <a class="el" href="_helpers_8inl_source.xhtml#l00122">arm_compute::execute_window_loop()</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l00273">BorderSize::left</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l00271">BorderSize::right</a>, <a class="el" href="_window_8inl_source.xhtml#l00040">Window::set()</a>, <a class="el" href="_c_l_2_convolution_8cpp_source.xhtml#l00119">arm_compute::test::validation::shape</a>, <a class="el" href="tests_2_utils_8h_source.xhtml#l00308">arm_compute::test::store_value_with_data_type()</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l00270">BorderSize::top</a>, <a class="el" href="hwc_8hpp_source.xhtml#l00278">value</a>, <a class="el" href="_dimensions_8h_source.xhtml#l00081">Dimensions< T >::x()</a>, and <a class="el" href="_dimensions_8h_source.xhtml#l00086">Dimensions< T >::y()</a>.</p>
+<p>References <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l002
95">BorderSize::bottom</a>, <a class="el" href="_helpers_8inl_source.xhtml#l00122">arm_compute::execute_window_loop()</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l00296">BorderSize::left</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l00294">BorderSize::right</a>, <a class="el" href="_window_8inl_source.xhtml#l00041">Window::set()</a>, <a class="el" href="_c_l_2_convolution_8cpp_source.xhtml#l00133">arm_compute::test::validation::shape</a>, <a class="el" href="tests_2_utils_8h_source.xhtml#l00308">arm_compute::test::store_value_with_data_type()</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l00293">BorderSize::top</a>, <a class="el" href="hwc_8hpp_source.xhtml#l00278">value</a>, <a class="el" href="_dimensions_8h_source.xhtml#l00081">Dimensions< T >::x()</a>, and <a class="el" href="_dimensions_8h_source.xhtml#l00086">Dimensions< T >::y()</a>.</p>
<p>Referenced by <a class="el" href="_assets_library_8h_source.xhtml#l00417">AssetsLibrary::fill()</a>.</p>
-<div class="fragment"><div class="line"><a name="l00389"></a><span class="lineno"> 389</span> {</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a4467b302fc9ec312c40580336ab783da">PaddingSize</a> padding_size = tensor.padding();</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span> </div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  Window window;</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  window.set(0, Window::Dimension(-padding_size.left, tensor.shape()[0] + padding_size.right, 1));</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  <span class="keywordflow">if</span>(tensor.shape().num_dimensions() > 1)</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>  window.set(1, Window::Dimension(-padding_size.top, tensor.shape()[1] + padding_size.bottom, 1));</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  }</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span> </div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  std::mt19937 gen(_seed);</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span> </div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  <a class="code" href="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="l00402"></a><span class="lineno"> 402</span>  {</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  TensorShape <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a> = tensor.shape();</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span> </div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  <span class="comment">// If outside of valid region</span></div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  <span class="keywordflow">if</span>(<span class="keywordtype">id</span>.x() < 0 || <span class="keywordtype">id</span>.x() >= static_cast<int>(shape.x()) || <span class="keywordtype">id</span>.y() < 0 || <span class="keywordtype">id</span>.y() >= <span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>(shape.y()))</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  {</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  <span class="keyword">using</span> ResultType = <span class="keyword">typename</span> std::remove_reference<D>::type::result_type;</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  <span class="keyword">const</span> ResultType <a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a> = distribution(gen);</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  <span class="keywordtype">void</span> *<span class="keyword">const</span> out_ptr = tensor(<span class="keywordtype">id</span>);</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a1e6934e95738573214c2ce1d6648d116">store_value_with_data_type</a>(out_ptr, value, tensor.data_type());</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>  });</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span> }</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_convolution_8cpp_source.xhtml#l00119">Convolution.cpp:119</a></div></div>
+<div class="fragment"><div class="line"><a name="l00389"></a><span class="lineno"> 389</span> {</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a4467b302fc9ec312c40580336ab783da">PaddingSize</a> padding_size = tensor.padding();</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span> </div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  Window window;</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  window.set(0, Window::Dimension(-padding_size.left, tensor.shape()[0] + padding_size.right, 1));</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  <span class="keywordflow">if</span>(tensor.shape().num_dimensions() > 1)</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>  window.set(1, Window::Dimension(-padding_size.top, tensor.shape()[1] + padding_size.bottom, 1));</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  }</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span> </div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  std::mt19937 gen(_seed);</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span> </div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  <a class="code" href="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="l00402"></a><span class="lineno"> 402</span>  {</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  TensorShape <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a> = tensor.shape();</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span> </div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  <span class="comment">// If outside of valid region</span></div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  <span class="keywordflow">if</span>(<span class="keywordtype">id</span>.x() < 0 || <span class="keywordtype">id</span>.x() >= static_cast<int>(shape.x()) || <span class="keywordtype">id</span>.y() < 0 || <span class="keywordtype">id</span>.y() >= <span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>(shape.y()))</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  {</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  <span class="keyword">using</span> ResultType = <span class="keyword">typename</span> std::remove_reference<D>::type::result_type;</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  <span class="keyword">const</span> ResultType <a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a> = distribution(gen);</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  <span class="keywordtype">void</span> *<span class="keyword">const</span> out_ptr = tensor(<span class="keywordtype">id</span>);</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a1e6934e95738573214c2ce1d6648d116">store_value_with_data_type</a>(out_ptr, value, tensor.data_type());</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>  });</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span> }</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_convolution_8cpp_source.xhtml#l00133">Convolution.cpp:133</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_xhtml_a1e6934e95738573214c2ce1d6648d116"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#a1e6934e95738573214c2ce1d6648d116">arm_compute::test::store_value_with_data_type</a></div><div class="ttdeci">void store_value_with_data_type(void *ptr, T value, DataType data_type)</div><div class="ttdoc">Write the value after casting the pointer according to data_type. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2_utils_8h_source.xhtml#l00308">Utils.h:308</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#l00122">Helpers.inl:122</a></div></div>
-<div class="ttc" id="namespacearm__compute_xhtml_a4467b302fc9ec312c40580336ab783da"><div class="ttname"><a href="namespacearm__compute.xhtml#a4467b302fc9ec312c40580336ab783da">arm_compute::PaddingSize</a></div><div class="ttdeci">BorderSize PaddingSize</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00276">Types.h:276</a></div></div>
+<div class="ttc" id="namespacearm__compute_xhtml_a4467b302fc9ec312c40580336ab783da"><div class="ttname"><a href="namespacearm__compute.xhtml#a4467b302fc9ec312c40580336ab783da">arm_compute::PaddingSize</a></div><div class="ttdeci">BorderSize PaddingSize</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00299">Types.h:299</a></div></div>
<div class="ttc" id="hwc_8hpp_xhtml_a0f61d63b009d0880a89c843bd50d8d76"><div class="ttname"><a href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a></div><div class="ttdeci">void * value</div><div class="ttdef"><b>Definition:</b> <a href="hwc_8hpp_source.xhtml#l00278">hwc.hpp:278</a></div></div>
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</div>
<dl class="section note"><dt>Note</dt><dd>The numpy array stored in the binary .npy file must be row-major in the sense that it must store elements within a row consecutively in the memory, then rows within a 2D slice, then 2D slices within a 3D slice and so on. Note that it imposes no restrictions on what indexing convention is used in the numpy array. That is, the numpy array can be either fortran style or C style as long as it adheres to the rule above.</dd></dl>
<p>More concretely, the orders of dimensions for each style are as follows: C-style (numpy default): array[HigherDims..., Z, Y, X] Fortran style: array[X, Y, Z, HigherDims...] </p>
-<p>Definition at line <a class="el" href="_assets_library_8h_source.xhtml#l0068
5">685</a> of file <a class="el" href="_assets_library_8h_source.xhtml">AssetsLibrary.h</a>.</p>
+<p>Definition at line <a class="el" href="_assets_library_8h_source.xhtml#l0068
8">688</a> of file <a class="el" href="_assets_library_8h_source.xhtml">AssetsLibrary.h</a>.</p>
-<p>References <a class="el" href="core_2_error_8h_source.xhtml#l00297">ARM_COMPUTE_ERROR_ON_MSG</a>, <a class="el" href="_helpers_8inl_source.xhtml#l00122">arm_compute::execute_window_loop()</a>, <a class="el" href="tests_2_utils_8h_source.xhtml#l00586">arm_compute::test::get_typestring()</a>, <a class="el" href="hwc_8hpp_source.xhtml#l00269">header</a>, <a class="el" href="_assets_library_8cpp_source.xhtml#l00194">AssetsLibrary::path()</a>, <a class="el" href="_c_l_2_convolution_8cpp_source.xhtml#l00119">arm_compute::test::validation::shape</a>, and <a class="el" href="_window_8inl_source.xhtml#l00220">Window::use_tensor_dimensions()</a>.</p>
-<div class="fragment"><div class="line"><a name="l00686"></a><span class="lineno"> 686</span> {</div><div class="line"><a name="l00687"></a><span class="lineno"> 687</span> <span class="preprocessor">#ifdef _WIN32</span></div><div class="line"><a name="l00688"></a><span class="lineno"> 688</span>  <span class="keyword">const</span> std::string path_separator(<span class="stringliteral">"\\"</span>);</div><div class="line"><a name="l00689"></a><span class="lineno"> 689</span> <span class="preprocessor">#else </span><span class="comment">/* _WIN32 */</span><span class="preprocessor"></span></div><div class="line"><a name="l00690"></a><span class="lineno"> 690</span>  <span class="keyword">const</span> std::string path_separator(<span class="stringliteral">"/"</span>);</div><div class="line"><a name="l00691"></a><span class="lineno"> 691</span> <span class="preprocessor">#endif </span><span class="comment">/* _WIN32 */</span><span class="preprocessor"></span></div><div class="line"><a name="l00692"></a><span class="lineno"> 692</span>  <span class="keyword">const</span> std::string <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a9b67b266207227062c7a2961ef85293a">path</a> = _library_path + path_separator + name;</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>  std::vector<unsigned long> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>;</div><div class="line"><a name="l00695"></a><span class="lineno"> 695</span> </div><div class="line"><a name="l00696"></a><span class="lineno"> 696</span>  <span class="comment">// Open file</span></div><div class="line"><a name="l00697"></a><span class="lineno"> 697</span>  std::ifstream stream(path, std::ios::in | std::ios::binary);</div><div class="line"><a name="l00698"></a><span class="lineno"> 698</span>  <span class="keywordflow">if</span>(!stream.good())</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="keywordflow">throw</span> framework::FileNotFound(<span class="stringliteral">"Could not load npy file: "</span> + path);</div><div class="line"><a name="l00701"></a><span class="lineno"> 701</span>  }</div><div class="line"><a name="l00702"></a><span class="lineno"> 702</span>  std::string <a class="code" href="hwc_8hpp.xhtml#a9d9174de5edba1e56fbfd90dc5e60f75">header</a> = npy::read_header(stream);</div><div class="line"><a name="l00703"></a><span class="lineno"> 703</span> </div><div class="line"><a name="l00704"></a><span class="lineno"> 704</span>  <span class="comment">// Parse header</span></div><div class="line"><a name="l00705"></a><span class="lineno"> 705</span>  <span class="keywordtype">bool</span> fortran_order = <span class="keyword">false</span>;</div><div class="line"><a name="l00706"></a><span class="lineno"> 706</span>  std::string typestr;</div><div class="line"><a name="l00707"></a><span class="lineno"> 707</span>  npy::parse_header(header, typestr, fortran_order, shape);</div><div class="line"><a name="l00708"></a><span class="lineno"> 708</span> </div><div class="line"><a name="l00709"></a><span class="lineno"> 709</span>  <span class="comment">// Check if the typestring matches the given one</span></div><div class="line"><a name="l00710"></a><span class="lineno"> 710</span>  std::string expect_typestr = <a class="code" href="namespacearm__compute_1_1test.xhtml#ae47155d6186155ec4da9295764b3c05a">get_typestring</a>(tensor.data_type());</div><div class="line"><a name="l00711"></a><span class="lineno"> 711</span>  <a class="code" href="core_2_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="l00712"></a><span class="lineno"> 712</span> </div><div class="line"><a name="l00713"></a><span class="lineno"> 713</span>  <span class="comment">// Validate tensor shape</span></div><div class="line"><a name="l00714"></a><span class="lineno"> 714</span>  <a class="code" href="core_2_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="l00715"></a><span class="lineno"> 715</span>  <span class="keywordflow">if</span>(fortran_order)</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>  <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 0; i < shape.size(); ++i)</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>  <a class="code" href="core_2_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="l00720"></a><span class="lineno"> 720</span>  }</div><div class="line"><a name="l00721"></a><span class="lineno"> 721</span>  }</div><div class="line"><a name="l00722"></a><span class="lineno"> 722</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00723"></a><span class="lineno"> 723</span>  {</div><div class="line"><a name="l00724"></a><span class="lineno"> 724</span>  <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 0; i < shape.size(); ++i)</div><div class="line"><a name="l00725"></a><span class="lineno"> 725</span>  {</div><div class="line"><a name="l00726"></a><span class="lineno"> 726</span>  <a class="code" href="core_2_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="l00727"></a><span class="lineno"> 727</span>  }</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> </div><div class="line"><a name="l00730"></a><span class="lineno"> 730</span>  <span class="comment">// Read data</span></div><div class="line"><a name="l00731"></a><span class="lineno"> 731</span>  <span class="keywordflow">if</span>(tensor.padding().empty())</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>  <span class="comment">// If tensor has no padding read directly from stream.</span></div><div class="line"><a name="l00734"></a><span class="lineno"> 734</span>  stream.read(reinterpret_cast<char *>(tensor.data()), tensor.size());</div><div class="line"><a name="l00735"></a><span class="lineno"> 735</span>  }</div><div class="line"><a name="l00736"></a><span class="lineno"> 736</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00737"></a><span class="lineno"> 737</span>  {</div><div class="line"><a name="l00738"></a><span class="lineno"> 738</span>  <span class="comment">// If tensor has padding accessing tensor elements through execution window.</span></div><div class="line"><a name="l00739"></a><span class="lineno"> 739</span>  Window window;</div><div class="line"><a name="l00740"></a><span class="lineno"> 740</span>  window.use_tensor_dimensions(tensor.shape());</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>  <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="l00743"></a><span class="lineno"> 743</span>  {</div><div class="line"><a name="l00744"></a><span class="lineno"> 744</span>  stream.read(reinterpret_cast<char *>(tensor(<span class="keywordtype">id</span>)), tensor.element_size());</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>  }</div><div class="line"><a name="l00747"></a><span class="lineno"> 747</span> }</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_convolution_8cpp_source.xhtml#l00119">Convolution.cpp:119</a></div></div>
+<p>References <a class="el" href="core_2_error_8h_source.xhtml#l00297">ARM_COMPUTE_ERROR_ON_MSG</a>, <a class="el" href="_helpers_8inl_source.xhtml#l00122">arm_compute::execute_window_loop()</a>, <a class="el" href="tests_2_utils_8h_source.xhtml#l00602">arm_compute::test::get_typestring()</a>, <a class="el" href="hwc_8hpp_source.xhtml#l00269">header</a>, <a class="el" href="_assets_library_8cpp_source.xhtml#l00215">AssetsLibrary::path()</a>, <a class="el" href="_c_l_2_convolution_8cpp_source.xhtml#l00133">arm_compute::test::validation::shape</a>, and <a class="el" href="_window_8inl_source.xhtml#l00240">Window::use_tensor_dimensions()</a>.</p>
+<div class="fragment"><div class="line"><a name="l00689"></a><span class="lineno"> 689</span> {</div><div class="line"><a name="l00690"></a><span class="lineno"> 690</span> <span class="preprocessor">#ifdef _WIN32</span></div><div class="line"><a name="l00691"></a><span class="lineno"> 691</span>  <span class="keyword">const</span> std::string path_separator(<span class="stringliteral">"\\"</span>);</div><div class="line"><a name="l00692"></a><span class="lineno"> 692</span> <span class="preprocessor">#else </span><span class="comment">/* _WIN32 */</span><span class="preprocessor"></span></div><div class="line"><a name="l00693"></a><span class="lineno"> 693</span>  <span class="keyword">const</span> std::string path_separator(<span class="stringliteral">"/"</span>);</div><div class="line"><a name="l00694"></a><span class="lineno"> 694</span> <span class="preprocessor">#endif </span><span class="comment">/* _WIN32 */</span><span class="preprocessor"></span></div><div class="line"><a name="l00695"></a><span class="lineno"> 695</span>  <span class="keyword">const</span> std::string <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a9b67b266207227062c7a2961ef85293a">path</a> = _library_path + path_separator + name;</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>  std::vector<unsigned long> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>;</div><div class="line"><a name="l00698"></a><span class="lineno"> 698</span> </div><div class="line"><a name="l00699"></a><span class="lineno"> 699</span>  <span class="comment">// Open file</span></div><div class="line"><a name="l00700"></a><span class="lineno"> 700</span>  std::ifstream stream(path, std::ios::in | std::ios::binary);</div><div class="line"><a name="l00701"></a><span class="lineno"> 701</span>  <span class="keywordflow">if</span>(!stream.good())</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">throw</span> framework::FileNotFound(<span class="stringliteral">"Could not load npy file: "</span> + path);</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>  std::string <a class="code" href="hwc_8hpp.xhtml#a9d9174de5edba1e56fbfd90dc5e60f75">header</a> = npy::read_header(stream);</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>  <span class="comment">// Parse header</span></div><div class="line"><a name="l00708"></a><span class="lineno"> 708</span>  <span class="keywordtype">bool</span> fortran_order = <span class="keyword">false</span>;</div><div class="line"><a name="l00709"></a><span class="lineno"> 709</span>  std::string typestr;</div><div class="line"><a name="l00710"></a><span class="lineno"> 710</span>  npy::parse_header(header, typestr, fortran_order, shape);</div><div class="line"><a name="l00711"></a><span class="lineno"> 711</span> </div><div class="line"><a name="l00712"></a><span class="lineno"> 712</span>  <span class="comment">// Check if the typestring matches the given one</span></div><div class="line"><a name="l00713"></a><span class="lineno"> 713</span>  std::string expect_typestr = <a class="code" href="namespacearm__compute_1_1test.xhtml#ae47155d6186155ec4da9295764b3c05a">get_typestring</a>(tensor.data_type());</div><div class="line"><a name="l00714"></a><span class="lineno"> 714</span>  <a class="code" href="core_2_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="l00715"></a><span class="lineno"> 715</span> </div><div class="line"><a name="l00716"></a><span class="lineno"> 716</span>  <span class="comment">// Validate tensor shape</span></div><div class="line"><a name="l00717"></a><span class="lineno"> 717</span>  <a class="code" href="core_2_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="l00718"></a><span class="lineno"> 718</span>  <span class="keywordflow">if</span>(fortran_order)</div><div class="line"><a name="l00719"></a><span class="lineno"> 719</span>  {</div><div class="line"><a name="l00720"></a><span class="lineno"> 720</span>  <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 0; i < shape.size(); ++i)</div><div class="line"><a name="l00721"></a><span class="lineno"> 721</span>  {</div><div class="line"><a name="l00722"></a><span class="lineno"> 722</span>  <a class="code" href="core_2_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="l00723"></a><span class="lineno"> 723</span>  }</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>  <span class="keywordflow">else</span></div><div class="line"><a name="l00726"></a><span class="lineno"> 726</span>  {</div><div class="line"><a name="l00727"></a><span class="lineno"> 727</span>  <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 0; i < shape.size(); ++i)</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="core_2_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="l00730"></a><span class="lineno"> 730</span>  }</div><div class="line"><a name="l00731"></a><span class="lineno"> 731</span>  }</div><div class="line"><a name="l00732"></a><span class="lineno"> 732</span> </div><div class="line"><a name="l00733"></a><span class="lineno"> 733</span>  <span class="comment">// Read data</span></div><div class="line"><a name="l00734"></a><span class="lineno"> 734</span>  <span class="keywordflow">if</span>(tensor.padding().empty())</div><div class="line"><a name="l00735"></a><span class="lineno"> 735</span>  {</div><div class="line"><a name="l00736"></a><span class="lineno"> 736</span>  <span class="comment">// If tensor has no padding read directly from stream.</span></div><div class="line"><a name="l00737"></a><span class="lineno"> 737</span>  stream.read(reinterpret_cast<char *>(tensor.data()), tensor.size());</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">else</span></div><div class="line"><a name="l00740"></a><span class="lineno"> 740</span>  {</div><div class="line"><a name="l00741"></a><span class="lineno"> 741</span>  <span class="comment">// If tensor has padding accessing tensor elements through execution window.</span></div><div class="line"><a name="l00742"></a><span class="lineno"> 742</span>  Window window;</div><div class="line"><a name="l00743"></a><span class="lineno"> 743</span>  window.use_tensor_dimensions(tensor.shape());</div><div class="line"><a name="l00744"></a><span class="lineno"> 744</span> </div><div class="line"><a name="l00745"></a><span class="lineno"> 745</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="l00746"></a><span class="lineno"> 746</span>  {</div><div class="line"><a name="l00747"></a><span class="lineno"> 747</span>  stream.read(reinterpret_cast<char *>(tensor(<span class="keywordtype">id</span>)), tensor.element_size());</div><div class="line"><a name="l00748"></a><span class="lineno"> 748</span>  });</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="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>
<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#l00269">hwc.hpp:269</a></div></div>
-<div class="ttc" id="classarm__compute_1_1test_1_1_assets_library_xhtml_a9b67b266207227062c7a2961ef85293a"><div class="ttname"><a href="classarm__compute_1_1test_1_1_assets_library.xhtml#a9b67b266207227062c7a2961ef85293a">arm_compute::test::AssetsLibrary::path</a></div><div class="ttdeci">std::string path() const </div><div class="ttdoc">Path to assets directory used to initialise library. </div><div class="ttdef"><b>Definition:</b> <a href="_assets_library_8cpp_source.xhtml#l00194">AssetsLibrary.cpp:194</a></div></div>
+<div class="ttc" id="classarm__compute_1_1test_1_1_assets_library_xhtml_a9b67b266207227062c7a2961ef85293a"><div class="ttname"><a href="classarm__compute_1_1test_1_1_assets_library.xhtml#a9b67b266207227062c7a2961ef85293a">arm_compute::test::AssetsLibrary::path</a></div><div class="ttdeci">std::string path() const </div><div class="ttdoc">Path to assets directory used to initialise library. </div><div class="ttdef"><b>Definition:</b> <a href="_assets_library_8cpp_source.xhtml#l00215">AssetsLibrary.cpp:215</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#l00122">Helpers.inl:122</a></div></div>
-<div class="ttc" id="namespacearm__compute_1_1test_xhtml_ae47155d6186155ec4da9295764b3c05a"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#ae47155d6186155ec4da9295764b3c05a">arm_compute::test::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="tests_2_utils_8h_source.xhtml#l00586">Utils.h:586</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1test_xhtml_ae47155d6186155ec4da9295764b3c05a"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#ae47155d6186155ec4da9295764b3c05a">arm_compute::test::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="tests_2_utils_8h_source.xhtml#l00602">Utils.h:602</a></div></div>
<div class="ttc" id="core_2_error_8h_xhtml_a5bbdcf574d3f5e412fa6a1117911e67b"><div class="ttname"><a href="core_2_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="core_2_error_8h_source.xhtml#l00297">Error.h:297</a></div></div>
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-<p>Definition at line <a class="el" href="_assets_library_8h_source.xhtml#l0050
1">501</a> of file <a class="el" href="_assets_library_8h_source.xhtml">AssetsLibrary.h</a>.</p>
+<p>Definition at line <a class="el" href="_assets_library_8h_source.xhtml#l0050
4">504</a> of file <a class="el" href="_assets_library_8h_source.xhtml">AssetsLibrary.h</a>.</p>
<p>References <a class="el" href="core_2_error_8h_source.xhtml#l00238">ARM_COMPUTE_ERROR</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">arm_compute::F16</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::F32</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a1ad5f6f3069070ec4cbbdc94d5e61e0e">arm_compute::F64</a>, <a class="el" href="_assets_library_8h_source.xhtml#l00417">AssetsLibrary::fill()</a>, <a class="el" href="tests_2validation_2_fixed_point_8h_source.xhtml#l00889">arm_compute::test::fixed_point_arithmetic::detail::max()</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">arm_compute::QASYMM8</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a48d877702a2957f5a932c43a357866f9">arm_compute::QS16</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a11cde4d3551db3f9498d339a67189543">arm_compute::QS8</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">arm_compute::S16</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">arm_compute::S32</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a115dca124dc6423c7a400b8a8a0270cc">arm_compute::S64</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6aafb0fced528eaac5fe170b763cda5975">arm_compute::S8</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6abd7ef6d4f35bc7d05c559b65032f15d1">arm_compute::SIZET</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aef9ef3ebca4d2b64b6ec83808bafa5f2">arm_compute::U16</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee">arm_compute::U32</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a31d65cccd6593e4101db93fb878abcaa">arm_compute::U64</a>, and <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">arm_compute::U8</a>.</p>
-<div class="fragment"><div class="line"><a name="l0050
2"></a><span class="lineno"> 502</span> {</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  <span class="keywordflow">switch</span>(tensor.data_type())</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  {</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>:</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>:</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  {</div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  std::uniform_int_distribution<uint8_t> distribution_u8(std::numeric_limits<uint8_t>::lowest(), <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::numeric_limits<uint8_t>::max</a>());</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(tensor, distribution_u8, seed_offset);</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  <span class="keywordflow">break</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="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6aafb0fced528eaac5fe170b763cda5975">DataType::S8</a>:</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a11cde4d3551db3f9498d339a67189543">DataType::QS8</a>:</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  {</div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  std::uniform_int_distribution<int8_t> distribution_s8(std::numeric_limits<int8_t>::lowest(), <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::numeric_limits<int8_t>::max</a>());</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(tensor, distribution_s8, seed_offset);</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  }</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aef9ef3ebca4d2b64b6ec83808bafa5f2">DataType::U16</a>:</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  {</div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  std::uniform_int_distribution<uint16_t> distribution_u16(std::numeric_limits<uint16_t>::lowest(), <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::numeric_limits<uint16_t>::max</a>());</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(tensor, distribution_u16, seed_offset);</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  <span class="keywordflow">break</span>;</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>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">DataType::S16</a>:</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a48d877702a2957f5a932c43a357866f9">DataType::QS16</a>:</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  {</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  std::uniform_int_distribution<int16_t> distribution_s16(std::numeric_limits<int16_t>::lowest(), <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::numeric_limits<int16_t>::max</a>());</div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(tensor, distribution_s16, seed_offset);</div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  }</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee">DataType::U32</a>:</div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  {</div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  std::uniform_int_distribution<uint32_t> distribution_u32(std::numeric_limits<uint32_t>::lowest(), <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::numeric_limits<uint32_t>::max</a>());</div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(tensor, distribution_u32, seed_offset);</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  }</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a>:</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  {</div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  std::uniform_int_distribution<int32_t> distribution_s32(std::numeric_limits<int32_t>::lowest(), <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::numeric_limits<int32_t>::max</a>());</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(tensor, distribution_s32, seed_offset);</div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  }</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a31d65cccd6593e4101db93fb878abcaa">DataType::U64</a>:</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  {</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  std::uniform_int_distribution<uint64_t> distribution_u64(std::numeric_limits<uint64_t>::lowest(), <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::numeric_limits<uint64_t>::max</a>());</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(tensor, distribution_u64, seed_offset);</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  }</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a115dca124dc6423c7a400b8a8a0270cc">DataType::S64</a>:</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  {</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  std::uniform_int_distribution<int64_t> distribution_s64(std::numeric_limits<int64_t>::lowest(), <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::numeric_limits<int64_t>::max</a>());</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(tensor, distribution_s64, seed_offset);</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  }</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>:</div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  {</div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  <span class="comment">// It doesn't make sense to check [-inf, inf], so hard code it to a big number</span></div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  std::uniform_real_distribution<float> distribution_f16(-100.f, 100.f);</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(tensor, distribution_f16, seed_offset);</div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  }</div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>:</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  {</div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  <span class="comment">// It doesn't make sense to check [-inf, inf], so hard code it to a big number</span></div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  std::uniform_real_distribution<float> distribution_f32(-1000.f, 1000.f);</div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(tensor, distribution_f32, seed_offset);</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  }</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a1ad5f6f3069070ec4cbbdc94d5e61e0e">DataType::F64</a>:</div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  {</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  <span class="comment">// It doesn't make sense to check [-inf, inf], so hard code it to a big number</span></div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  std::uniform_real_distribution<double> distribution_f64(-1000.f, 1000.f);</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(tensor, distribution_f64, seed_offset);</div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  <span class="keywordflow">break</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>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6abd7ef6d4f35bc7d05c559b65032f15d1">DataType::SIZET</a>:</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  {</div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  std::uniform_int_distribution<size_t> distribution_sizet(std::numeric_limits<size_t>::lowest(), <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::numeric_limits<size_t>::max</a>());</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(tensor, distribution_sizet, seed_offset);</div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  }</div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  <a class="code" href="core_2_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"NOT SUPPORTED!"</span>);</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  }</div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span> }</div><div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a48d877702a2957f5a932c43a357866f9"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a48d877702a2957f5a932c43a357866f9">arm_compute::DataType::QS16</a></div></div>
+<div class="fragment"><div class="line"><a name="l0050
5"></a><span class="lineno"> 505</span> {</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  <span class="keywordflow">switch</span>(tensor.data_type())</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  {</div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>:</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>:</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>  std::uniform_int_distribution<uint8_t> distribution_u8(std::numeric_limits<uint8_t>::lowest(), <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::numeric_limits<uint8_t>::max</a>());</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(tensor, distribution_u8, seed_offset);</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  }</div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6aafb0fced528eaac5fe170b763cda5975">DataType::S8</a>:</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a11cde4d3551db3f9498d339a67189543">DataType::QS8</a>:</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  {</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  std::uniform_int_distribution<int8_t> distribution_s8(std::numeric_limits<int8_t>::lowest(), <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::numeric_limits<int8_t>::max</a>());</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(tensor, distribution_s8, seed_offset);</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  }</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aef9ef3ebca4d2b64b6ec83808bafa5f2">DataType::U16</a>:</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  {</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  std::uniform_int_distribution<uint16_t> distribution_u16(std::numeric_limits<uint16_t>::lowest(), <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::numeric_limits<uint16_t>::max</a>());</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(tensor, distribution_u16, seed_offset);</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  }</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">DataType::S16</a>:</div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a48d877702a2957f5a932c43a357866f9">DataType::QS16</a>:</div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  {</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  std::uniform_int_distribution<int16_t> distribution_s16(std::numeric_limits<int16_t>::lowest(), <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::numeric_limits<int16_t>::max</a>());</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(tensor, distribution_s16, seed_offset);</div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  }</div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee">DataType::U32</a>:</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  {</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  std::uniform_int_distribution<uint32_t> distribution_u32(std::numeric_limits<uint32_t>::lowest(), <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::numeric_limits<uint32_t>::max</a>());</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(tensor, distribution_u32, seed_offset);</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  <span class="keywordflow">break</span>;</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">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a>:</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>  std::uniform_int_distribution<int32_t> distribution_s32(std::numeric_limits<int32_t>::lowest(), <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::numeric_limits<int32_t>::max</a>());</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(tensor, distribution_s32, seed_offset);</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  }</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a31d65cccd6593e4101db93fb878abcaa">DataType::U64</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>  std::uniform_int_distribution<uint64_t> distribution_u64(std::numeric_limits<uint64_t>::lowest(), <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::numeric_limits<uint64_t>::max</a>());</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(tensor, distribution_u64, seed_offset);</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  }</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a115dca124dc6423c7a400b8a8a0270cc">DataType::S64</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>  std::uniform_int_distribution<int64_t> distribution_s64(std::numeric_limits<int64_t>::lowest(), <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::numeric_limits<int64_t>::max</a>());</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(tensor, distribution_s64, seed_offset);</div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  }</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>:</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  {</div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  <span class="comment">// It doesn't make sense to check [-inf, inf], so hard code it to a big number</span></div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  std::uniform_real_distribution<float> distribution_f16(-100.f, 100.f);</div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(tensor, distribution_f16, seed_offset);</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  <span class="keywordflow">break</span>;</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>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>:</div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  {</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  <span class="comment">// It doesn't make sense to check [-inf, inf], so hard code it to a big number</span></div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  std::uniform_real_distribution<float> distribution_f32(-1000.f, 1000.f);</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(tensor, distribution_f32, seed_offset);</div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  }</div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a1ad5f6f3069070ec4cbbdc94d5e61e0e">DataType::F64</a>:</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  {</div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  <span class="comment">// It doesn't make sense to check [-inf, inf], so hard code it to a big number</span></div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  std::uniform_real_distribution<double> distribution_f64(-1000.f, 1000.f);</div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(tensor, distribution_f64, seed_offset);</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  <span class="keywordflow">break</span>;</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>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6abd7ef6d4f35bc7d05c559b65032f15d1">DataType::SIZET</a>:</div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  {</div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  std::uniform_int_distribution<size_t> distribution_sizet(std::numeric_limits<size_t>::lowest(), <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::numeric_limits<size_t>::max</a>());</div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(tensor, distribution_sizet, seed_offset);</div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  }</div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  <a class="code" href="core_2_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"NOT SUPPORTED!"</span>);</div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  }</div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span> }</div><div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a48d877702a2957f5a932c43a357866f9"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a48d877702a2957f5a932c43a357866f9">arm_compute::DataType::QS16</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_assets_library_xhtml_a80a7b5ae084bf22b91bc5f68a06711c0"><div class="ttname"><a href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">arm_compute::test::AssetsLibrary::fill</a></div><div class="ttdeci">void fill(T &&tensor, D &&distribution, std::random_device::result_type seed_offset) const </div><div class="ttdoc">Fills the specified tensor with random values drawn from distribution. </div><div class="ttdef"><b>Definition:</b> <a href="_assets_library_8h_source.xhtml#l00417">AssetsLibrary.h:417</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a11cde4d3551db3f9498d339a67189543"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a11cde4d3551db3f9498d339a67189543">arm_compute::DataType::QS8</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">arm_compute::Format::U8</a></div><div class="ttdoc">1 channel, 1 U8 per channel </div></div>
</dl>
<dl class="section note"><dt>Note</dt><dd><code>low</code> and <code>high</code> must be of the same type as the data type of <code>tensor</code> </dd></dl>
-<p>Definition at line <a class="el" href="_assets_library_8h_source.xhtml#l005
89">589</a> of file <a class="el" href="_assets_library_8h_source.xhtml">AssetsLibrary.h</a>.</p>
+<p>Definition at line <a class="el" href="_assets_library_8h_source.xhtml#l005
92">592</a> of file <a class="el" href="_assets_library_8h_source.xhtml">AssetsLibrary.h</a>.</p>
<p>References <a class="el" href="core_2_error_8h_source.xhtml#l00238">ARM_COMPUTE_ERROR</a>, <a class="el" href="core_2_error_8h_source.xhtml#l00306">ARM_COMPUTE_ERROR_ON</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">arm_compute::F16</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::F32</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a1ad5f6f3069070ec4cbbdc94d5e61e0e">arm_compute::F64</a>, <a class="el" href="_assets_library_8h_source.xhtml#l00417">AssetsLibrary::fill()</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">arm_compute::QASYMM8</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a48d877702a2957f5a932c43a357866f9">arm_compute::QS16</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a11cde4d3551db3f9498d339a67189543">arm_compute::QS8</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">arm_compute::S16</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">arm_compute::S32</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a115dca124dc6423c7a400b8a8a0270cc">arm_compute::S64</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6aafb0fced528eaac5fe170b763cda5975">arm_compute::S8</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6abd7ef6d4f35bc7d05c559b65032f15d1">arm_compute::SIZET</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aef9ef3ebca4d2b64b6ec83808bafa5f2">arm_compute::U16</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee">arm_compute::U32</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a31d65cccd6593e4101db93fb878abcaa">arm_compute::U64</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">arm_compute::U8</a>, and <a class="el" href="hwc_8hpp_source.xhtml#l00278">value</a>.</p>
-<div class="fragment"><div class="line"><a name="l0059
0"></a><span class="lineno"> 590</span> {</div><div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  <span class="keywordflow">switch</span>(tensor.data_type())</div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span>  {</div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>:</div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>:</div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  {</div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  <a class="code" href="core_2_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(!(<a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">std::is_same<uint8_t, D>::value</a>));</div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  std::uniform_int_distribution<uint8_t> distribution_u8(low, high);</div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(tensor, distribution_u8, seed_offset);</div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  }</div><div class="line"><a name="l00601"></a><span class="lineno"> 601</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6aafb0fced528eaac5fe170b763cda5975">DataType::S8</a>:</div><div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a11cde4d3551db3f9498d339a67189543">DataType::QS8</a>:</div><div class="line"><a name="l00603"></a><span class="lineno"> 603</span>  {</div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  <a class="code" href="core_2_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(!(<a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">std::is_same<int8_t, D>::value</a>));</div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  std::uniform_int_distribution<int8_t> distribution_s8(low, high);</div><div class="line"><a name="l00606"></a><span class="lineno"> 606</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(tensor, distribution_s8, seed_offset);</div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  }</div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aef9ef3ebca4d2b64b6ec83808bafa5f2">DataType::U16</a>:</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>  <a class="code" href="core_2_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(!(<a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">std::is_same<uint16_t, D>::value</a>));</div><div class="line"><a name="l00612"></a><span class="lineno"> 612</span>  std::uniform_int_distribution<uint16_t> distribution_u16(low, high);</div><div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(tensor, distribution_u16, seed_offset);</div><div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  }</div><div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">DataType::S16</a>:</div><div class="line"><a name="l00617"></a><span class="lineno"> 617</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a48d877702a2957f5a932c43a357866f9">DataType::QS16</a>:</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>  <a class="code" href="core_2_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(!(<a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">std::is_same<int16_t, D>::value</a>));</div><div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  std::uniform_int_distribution<int16_t> distribution_s16(low, high);</div><div class="line"><a name="l00621"></a><span class="lineno"> 621</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(tensor, distribution_s16, seed_offset);</div><div class="line"><a name="l00622"></a><span class="lineno"> 622</span>  <span class="keywordflow">break</span>;</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>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee">DataType::U32</a>:</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>  <a class="code" href="core_2_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(!(<a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">std::is_same<uint32_t, D>::value</a>));</div><div class="line"><a name="l00627"></a><span class="lineno"> 627</span>  std::uniform_int_distribution<uint32_t> distribution_u32(low, high);</div><div class="line"><a name="l00628"></a><span class="lineno"> 628</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(tensor, distribution_u32, seed_offset);</div><div class="line"><a name="l00629"></a><span class="lineno"> 629</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  }</div><div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a>:</div><div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  {</div><div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  <a class="code" href="core_2_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(!(<a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">std::is_same<int32_t, D>::value</a>));</div><div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  std::uniform_int_distribution<int32_t> distribution_s32(low, high);</div><div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(tensor, distribution_s32, seed_offset);</div><div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  <span class="keywordflow">break</span>;</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">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a31d65cccd6593e4101db93fb878abcaa">DataType::U64</a>:</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>  <a class="code" href="core_2_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(!(<a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">std::is_same<uint64_t, D>::value</a>));</div><div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  std::uniform_int_distribution<uint64_t> distribution_u64(low, high);</div><div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(tensor, distribution_u64, seed_offset);</div><div class="line"><a name="l00643"></a><span class="lineno"> 643</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  }</div><div class="line"><a name="l00645"></a><span class="lineno"> 645</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a115dca124dc6423c7a400b8a8a0270cc">DataType::S64</a>:</div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span>  {</div><div class="line"><a name="l00647"></a><span class="lineno"> 647</span>  <a class="code" href="core_2_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(!(<a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">std::is_same<int64_t, D>::value</a>));</div><div class="line"><a name="l00648"></a><span class="lineno"> 648</span>  std::uniform_int_distribution<int64_t> distribution_s64(low, high);</div><div class="line"><a name="l00649"></a><span class="lineno"> 649</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(tensor, distribution_s64, seed_offset);</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">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>:</div><div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  {</div><div class="line"><a name="l00654"></a><span class="lineno"> 654</span>  std::uniform_real_distribution<float> distribution_f16(low, high);</div><div class="line"><a name="l00655"></a><span class="lineno"> 655</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(tensor, distribution_f16, seed_offset);</div><div class="line"><a name="l00656"></a><span class="lineno"> 656</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00657"></a><span class="lineno"> 657</span>  }</div><div class="line"><a name="l00658"></a><span class="lineno"> 658</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>:</div><div class="line"><a name="l00659"></a><span class="lineno"> 659</span>  {</div><div class="line"><a name="l00660"></a><span class="lineno"> 660</span>  <a class="code" href="core_2_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(!(<a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">std::is_same<float, D>::value</a>));</div><div class="line"><a name="l00661"></a><span class="lineno"> 661</span>  std::uniform_real_distribution<float> distribution_f32(low, high);</div><div class="line"><a name="l00662"></a><span class="lineno"> 662</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(tensor, distribution_f32, seed_offset);</div><div class="line"><a name="l00663"></a><span class="lineno"> 663</span>  <span class="keywordflow">break</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="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a1ad5f6f3069070ec4cbbdc94d5e61e0e">DataType::F64</a>:</div><div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  {</div><div class="line"><a name="l00667"></a><span class="lineno"> 667</span>  <a class="code" href="core_2_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(!(<a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">std::is_same<double, D>::value</a>));</div><div class="line"><a name="l00668"></a><span class="lineno"> 668</span>  std::uniform_real_distribution<double> distribution_f64(low, high);</div><div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(tensor, distribution_f64, seed_offset);</div><div class="line"><a name="l00670"></a><span class="lineno"> 670</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00671"></a><span class="lineno"> 671</span>  }</div><div class="line"><a name="l00672"></a><span class="lineno"> 672</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6abd7ef6d4f35bc7d05c559b65032f15d1">DataType::SIZET</a>:</div><div class="line"><a name="l00673"></a><span class="lineno"> 673</span>  {</div><div class="line"><a name="l00674"></a><span class="lineno"> 674</span>  <a class="code" href="core_2_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(!(<a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">std::is_same<size_t, D>::value</a>));</div><div class="line"><a name="l00675"></a><span class="lineno"> 675</span>  std::uniform_int_distribution<size_t> distribution_sizet(low, high);</div><div class="line"><a name="l00676"></a><span class="lineno"> 676</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(tensor, distribution_sizet, seed_offset);</div><div class="line"><a name="l00677"></a><span class="lineno"> 677</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00678"></a><span class="lineno"> 678</span>  }</div><div class="line"><a name="l00679"></a><span class="lineno"> 679</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00680"></a><span class="lineno"> 680</span>  <a class="code" href="core_2_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"NOT SUPPORTED!"</span>);</div><div class="line"><a name="l00681"></a><span class="lineno"> 681</span>  }</div><div class="line"><a name="l00682"></a><span class="lineno"> 682</span> }</div><div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a48d877702a2957f5a932c43a357866f9"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a48d877702a2957f5a932c43a357866f9">arm_compute::DataType::QS16</a></div></div>
+<div class="fragment"><div class="line"><a name="l0059
3"></a><span class="lineno"> 593</span> {</div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  <span class="keywordflow">switch</span>(tensor.data_type())</div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  {</div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>:</div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>:</div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  {</div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  <a class="code" href="core_2_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(!(<a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">std::is_same<uint8_t, D>::value</a>));</div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  std::uniform_int_distribution<uint8_t> distribution_u8(low, high);</div><div class="line"><a name="l00601"></a><span class="lineno"> 601</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(tensor, distribution_u8, seed_offset);</div><div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00603"></a><span class="lineno"> 603</span>  }</div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6aafb0fced528eaac5fe170b763cda5975">DataType::S8</a>:</div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a11cde4d3551db3f9498d339a67189543">DataType::QS8</a>:</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>  <a class="code" href="core_2_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(!(<a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">std::is_same<int8_t, D>::value</a>));</div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  std::uniform_int_distribution<int8_t> distribution_s8(low, high);</div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(tensor, distribution_s8, seed_offset);</div><div class="line"><a name="l00610"></a><span class="lineno"> 610</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00611"></a><span class="lineno"> 611</span>  }</div><div class="line"><a name="l00612"></a><span class="lineno"> 612</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aef9ef3ebca4d2b64b6ec83808bafa5f2">DataType::U16</a>:</div><div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  {</div><div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  <a class="code" href="core_2_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(!(<a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">std::is_same<uint16_t, D>::value</a>));</div><div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  std::uniform_int_distribution<uint16_t> distribution_u16(low, high);</div><div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(tensor, distribution_u16, seed_offset);</div><div class="line"><a name="l00617"></a><span class="lineno"> 617</span>  <span class="keywordflow">break</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>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">DataType::S16</a>:</div><div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a48d877702a2957f5a932c43a357866f9">DataType::QS16</a>:</div><div class="line"><a name="l00621"></a><span class="lineno"> 621</span>  {</div><div class="line"><a name="l00622"></a><span class="lineno"> 622</span>  <a class="code" href="core_2_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(!(<a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">std::is_same<int16_t, D>::value</a>));</div><div class="line"><a name="l00623"></a><span class="lineno"> 623</span>  std::uniform_int_distribution<int16_t> distribution_s16(low, high);</div><div class="line"><a name="l00624"></a><span class="lineno"> 624</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(tensor, distribution_s16, seed_offset);</div><div class="line"><a name="l00625"></a><span class="lineno"> 625</span>  <span class="keywordflow">break</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>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee">DataType::U32</a>:</div><div class="line"><a name="l00628"></a><span class="lineno"> 628</span>  {</div><div class="line"><a name="l00629"></a><span class="lineno"> 629</span>  <a class="code" href="core_2_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(!(<a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">std::is_same<uint32_t, D>::value</a>));</div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  std::uniform_int_distribution<uint32_t> distribution_u32(low, high);</div><div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(tensor, distribution_u32, seed_offset);</div><div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  }</div><div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a>:</div><div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  {</div><div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  <a class="code" href="core_2_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(!(<a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">std::is_same<int32_t, D>::value</a>));</div><div class="line"><a name="l00637"></a><span class="lineno"> 637</span>  std::uniform_int_distribution<int32_t> distribution_s32(low, high);</div><div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(tensor, distribution_s32, seed_offset);</div><div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00640"></a><span class="lineno"> 640</span>  }</div><div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a31d65cccd6593e4101db93fb878abcaa">DataType::U64</a>:</div><div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  {</div><div class="line"><a name="l00643"></a><span class="lineno"> 643</span>  <a class="code" href="core_2_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(!(<a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">std::is_same<uint64_t, D>::value</a>));</div><div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  std::uniform_int_distribution<uint64_t> distribution_u64(low, high);</div><div class="line"><a name="l00645"></a><span class="lineno"> 645</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(tensor, distribution_u64, seed_offset);</div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span>  <span class="keywordflow">break</span>;</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>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a115dca124dc6423c7a400b8a8a0270cc">DataType::S64</a>:</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>  <a class="code" href="core_2_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(!(<a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">std::is_same<int64_t, D>::value</a>));</div><div class="line"><a name="l00651"></a><span class="lineno"> 651</span>  std::uniform_int_distribution<int64_t> distribution_s64(low, high);</div><div class="line"><a name="l00652"></a><span class="lineno"> 652</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(tensor, distribution_s64, seed_offset);</div><div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  <span class="keywordflow">break</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>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>:</div><div class="line"><a name="l00656"></a><span class="lineno"> 656</span>  {</div><div class="line"><a name="l00657"></a><span class="lineno"> 657</span>  std::uniform_real_distribution<float> distribution_f16(low, high);</div><div class="line"><a name="l00658"></a><span class="lineno"> 658</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(tensor, distribution_f16, seed_offset);</div><div class="line"><a name="l00659"></a><span class="lineno"> 659</span>  <span class="keywordflow">break</span>;</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>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>:</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>  <a class="code" href="core_2_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(!(<a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">std::is_same<float, D>::value</a>));</div><div class="line"><a name="l00664"></a><span class="lineno"> 664</span>  std::uniform_real_distribution<float> distribution_f32(low, high);</div><div class="line"><a name="l00665"></a><span class="lineno"> 665</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(tensor, distribution_f32, seed_offset);</div><div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00667"></a><span class="lineno"> 667</span>  }</div><div class="line"><a name="l00668"></a><span class="lineno"> 668</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a1ad5f6f3069070ec4cbbdc94d5e61e0e">DataType::F64</a>:</div><div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  {</div><div class="line"><a name="l00670"></a><span class="lineno"> 670</span>  <a class="code" href="core_2_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(!(<a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">std::is_same<double, D>::value</a>));</div><div class="line"><a name="l00671"></a><span class="lineno"> 671</span>  std::uniform_real_distribution<double> distribution_f64(low, high);</div><div class="line"><a name="l00672"></a><span class="lineno"> 672</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(tensor, distribution_f64, seed_offset);</div><div class="line"><a name="l00673"></a><span class="lineno"> 673</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00674"></a><span class="lineno"> 674</span>  }</div><div class="line"><a name="l00675"></a><span class="lineno"> 675</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6abd7ef6d4f35bc7d05c559b65032f15d1">DataType::SIZET</a>:</div><div class="line"><a name="l00676"></a><span class="lineno"> 676</span>  {</div><div class="line"><a name="l00677"></a><span class="lineno"> 677</span>  <a class="code" href="core_2_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(!(<a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">std::is_same<size_t, D>::value</a>));</div><div class="line"><a name="l00678"></a><span class="lineno"> 678</span>  std::uniform_int_distribution<size_t> distribution_sizet(low, high);</div><div class="line"><a name="l00679"></a><span class="lineno"> 679</span>  <a class="code" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">fill</a>(tensor, distribution_sizet, seed_offset);</div><div class="line"><a name="l00680"></a><span class="lineno"> 680</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00681"></a><span class="lineno"> 681</span>  }</div><div class="line"><a name="l00682"></a><span class="lineno"> 682</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00683"></a><span class="lineno"> 683</span>  <a class="code" href="core_2_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"NOT SUPPORTED!"</span>);</div><div class="line"><a name="l00684"></a><span class="lineno"> 684</span>  }</div><div class="line"><a name="l00685"></a><span class="lineno"> 685</span> }</div><div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a48d877702a2957f5a932c43a357866f9"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a48d877702a2957f5a932c43a357866f9">arm_compute::DataType::QS16</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_assets_library_xhtml_a80a7b5ae084bf22b91bc5f68a06711c0"><div class="ttname"><a href="classarm__compute_1_1test_1_1_assets_library.xhtml#a80a7b5ae084bf22b91bc5f68a06711c0">arm_compute::test::AssetsLibrary::fill</a></div><div class="ttdeci">void fill(T &&tensor, D &&distribution, std::random_device::result_type seed_offset) const </div><div class="ttdoc">Fills the specified tensor with random values drawn from distribution. </div><div class="ttdef"><b>Definition:</b> <a href="_assets_library_8h_source.xhtml#l00417">AssetsLibrary.h:417</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a11cde4d3551db3f9498d339a67189543"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a11cde4d3551db3f9498d339a67189543">arm_compute::DataType::QS8</a></div></div>
<div class="ttc" id="core_2_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="core_2_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="core_2_error_8h_source.xhtml#l00306">Error.h:306</a></div></div>
</dd>
</dl>
-<p>Definition at line <a class="el" href="_assets_library_8cpp_source.xhtml#l004
00">400</a> of file <a class="el" href="_assets_library_8cpp_source.xhtml">AssetsLibrary.cpp</a>.</p>
+<p>Definition at line <a class="el" href="_assets_library_8cpp_source.xhtml#l004
22">422</a> of file <a class="el" href="_assets_library_8cpp_source.xhtml">AssetsLibrary.cpp</a>.</p>
<p>References <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0">arm_compute::RGB888</a>.</p>
-<div class="fragment"><div class="line"><a name="l004
01"></a><span class="lineno"> 401</span> {</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  <span class="keywordflow">return</span> find_or_create_raw_tensor(name, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0">Format::RGB888</a>);</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span> }</div><div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0">arm_compute::Format::RGB888</a></div><div class="ttdoc">3 channels, 1 U8 per channel </div></div>
+<div class="fragment"><div class="line"><a name="l004
23"></a><span class="lineno"> 423</span> {</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  <span class="keywordflow">return</span> find_or_create_raw_tensor(name, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0">Format::RGB888</a>);</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span> }</div><div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0">arm_compute::Format::RGB888</a></div><div class="ttdoc">3 channels, 1 U8 per channel </div></div>
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</div>
</div>
</dd>
</dl>
-<p>Definition at line <a class="el" href="_assets_library_8cpp_source.xhtml#l004
05">405</a> of file <a class="el" href="_assets_library_8cpp_source.xhtml">AssetsLibrary.cpp</a>.</p>
+<p>Definition at line <a class="el" href="_assets_library_8cpp_source.xhtml#l004
27">427</a> of file <a class="el" href="_assets_library_8cpp_source.xhtml">AssetsLibrary.cpp</a>.</p>
<p>References <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0">arm_compute::RGB888</a>.</p>
-<div class="fragment"><div class="line"><a name="l004
06"></a><span class="lineno"> 406</span> {</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  <span class="keywordflow">return</span> RawTensor(find_or_create_raw_tensor(name, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0">Format::RGB888</a>));</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span> }</div><div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0">arm_compute::Format::RGB888</a></div><div class="ttdoc">3 channels, 1 U8 per channel </div></div>
+<div class="fragment"><div class="line"><a name="l004
28"></a><span class="lineno"> 428</span> {</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  <span class="keywordflow">return</span> RawTensor(find_or_create_raw_tensor(name, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0">Format::RGB888</a>));</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span> }</div><div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0">arm_compute::Format::RGB888</a></div><div class="ttdoc">3 channels, 1 U8 per channel </div></div>
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</div>
</div>
</dd>
</dl>
-<p>Definition at line <a class="el" href="_assets_library_8cpp_source.xhtml#l004
10">410</a> of file <a class="el" href="_assets_library_8cpp_source.xhtml">AssetsLibrary.cpp</a>.</p>
+<p>Definition at line <a class="el" href="_assets_library_8cpp_source.xhtml#l004
32">432</a> of file <a class="el" href="_assets_library_8cpp_source.xhtml">AssetsLibrary.cpp</a>.</p>
-<p>References <a class="el" href="
_c_l_2_convolution_8cpp_source.xhtml#l00119">arm_compute::test::validation::data_type</a>, and <a class="el" href="_simple_tensor_8h_source.xhtml#l00245">SimpleTensor< T >::shape()</a>.</p>
-<div class="fragment"><div class="line"><a name="l00411"></a><span class="lineno"> 411</span> {</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  <span class="keyword">const</span> RawTensor &raw = <span class="keyword">get</span>(name);</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span> </div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  <span class="keywordflow">return</span> RawTensor(raw.shape(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, num_channels);</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span> }</div><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="_c_l_2_convolution_8cpp_source.xhtml#l00119">Convolution.cpp:119</a></div></div>
+<p>References <a class="el" href="
validation_2_c_l_2_g_e_m_m_8cpp_source.xhtml#l00114">arm_compute::test::validation::data_type</a>, and <a class="el" href="_simple_tensor_8h_source.xhtml#l00245">SimpleTensor< T >::shape()</a>.</p>
+<div class="fragment"><div class="line"><a name="l00433"></a><span class="lineno"> 433</span> {</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  <span class="keyword">const</span> RawTensor &raw = <span class="keyword">get</span>(name);</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="keywordflow">return</span> RawTensor(raw.shape(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, num_channels);</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span> }</div><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#l00114">GEMM.cpp:114</a></div></div>
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</div>
</div>
</dd>
</dl>
-<p>Definition at line <a class="el" href="_assets_library_8cpp_source.xhtml#l004
17">417</a> of file <a class="el" href="_assets_library_8cpp_source.xhtml">AssetsLibrary.cpp</a>.</p>
-<div class="fragment"><div class="line"><a name="l00418"></a><span class="lineno"> 418</span> {</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  <span class="keywordflow">return</span> find_or_create_raw_tensor(name, format);</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span> }</div></div><!-- fragment -->
+<p>Definition at line <a class="el" href="_assets_library_8cpp_source.xhtml#l004
39">439</a> of file <a class="el" href="_assets_library_8cpp_source.xhtml">AssetsLibrary.cpp</a>.</p>
+<div class="fragment"><div class="line"><a name="l00440"></a><span class="lineno"> 440</span> {</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  <span class="keywordflow">return</span> find_or_create_raw_tensor(name, format);</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span> }</div></div><!-- fragment -->
</div>
</div>
<a class="anchor" id="ab760ccaa18b95b99c73eb0e763f39ec2"></a>
</dd>
</dl>
-<p>Definition at line <a class="el" href="_assets_library_8cpp_source.xhtml#l004
22">422</a> of file <a class="el" href="_assets_library_8cpp_source.xhtml">AssetsLibrary.cpp</a>.</p>
-<div class="fragment"><div class="line"><a name="l00423"></a><span class="lineno"> 423</span> {</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  <span class="keywordflow">return</span> RawTensor(find_or_create_raw_tensor(name, format));</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span> }</div></div><!-- fragment -->
+<p>Definition at line <a class="el" href="_assets_library_8cpp_source.xhtml#l004
44">444</a> of file <a class="el" href="_assets_library_8cpp_source.xhtml">AssetsLibrary.cpp</a>.</p>
+<div class="fragment"><div class="line"><a name="l00445"></a><span class="lineno"> 445</span> {</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  <span class="keywordflow">return</span> RawTensor(find_or_create_raw_tensor(name, format));</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span> }</div></div><!-- fragment -->
</div>
</div>
<a class="anchor" id="a11f5f1baaad31d1067564eccf599e90c"></a>
</dl>
<dl class="section note"><dt>Note</dt><dd>The channel has to be unambiguous so that the format can be inferred automatically. </dd></dl>
-<p>Definition at line <a class="el" href="_assets_library_8cpp_source.xhtml#l004
27">427</a> of file <a class="el" href="_assets_library_8cpp_source.xhtml">AssetsLibrary.cpp</a>.</p>
+<p>Definition at line <a class="el" href="_assets_library_8cpp_source.xhtml#l004
49">449</a> of file <a class="el" href="_assets_library_8cpp_source.xhtml">AssetsLibrary.cpp</a>.</p>
<p>References <a class="el" href="tests_2_utils_8h_source.xhtml#l00138">arm_compute::test::get_format_for_channel()</a>.</p>
-<div class="fragment"><div class="line"><a name="l004
28"></a><span class="lineno"> 428</span> {</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  <span class="keywordflow">return</span> <span class="keyword">get</span>(name, <a class="code" href="namespacearm__compute_1_1test.xhtml#aa337ab76176f3c4193642ac6de3a61cf">get_format_for_channel</a>(channel), channel);</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span> }</div><div class="ttc" id="namespacearm__compute_1_1test_xhtml_aa337ab76176f3c4193642ac6de3a61cf"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#aa337ab76176f3c4193642ac6de3a61cf">arm_compute::test::get_format_for_channel</a></div><div class="ttdeci">Format get_format_for_channel(Channel channel)</div><div class="ttdoc">Look up the format corresponding to a channel. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2_utils_8h_source.xhtml#l00138">Utils.h:138</a></div></div>
+<div class="fragment"><div class="line"><a name="l004
50"></a><span class="lineno"> 450</span> {</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  <span class="keywordflow">return</span> <span class="keyword">get</span>(name, <a class="code" href="namespacearm__compute_1_1test.xhtml#aa337ab76176f3c4193642ac6de3a61cf">get_format_for_channel</a>(channel), channel);</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span> }</div><div class="ttc" id="namespacearm__compute_1_1test_xhtml_aa337ab76176f3c4193642ac6de3a61cf"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#aa337ab76176f3c4193642ac6de3a61cf">arm_compute::test::get_format_for_channel</a></div><div class="ttdeci">Format get_format_for_channel(Channel channel)</div><div class="ttdoc">Look up the format corresponding to a channel. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2_utils_8h_source.xhtml#l00138">Utils.h:138</a></div></div>
</div><!-- fragment -->
</div>
</div>
</dl>
<dl class="section note"><dt>Note</dt><dd>The channel has to be unambiguous so that the format can be inferred automatically. </dd></dl>
-<p>Definition at line <a class="el" href="_assets_library_8cpp_source.xhtml#l004
32">432</a> of file <a class="el" href="_assets_library_8cpp_source.xhtml">AssetsLibrary.cpp</a>.</p>
+<p>Definition at line <a class="el" href="_assets_library_8cpp_source.xhtml#l004
54">454</a> of file <a class="el" href="_assets_library_8cpp_source.xhtml">AssetsLibrary.cpp</a>.</p>
<p>References <a class="el" href="tests_2_utils_8h_source.xhtml#l00138">arm_compute::test::get_format_for_channel()</a>.</p>
-<div class="fragment"><div class="line"><a name="l004
33"></a><span class="lineno"> 433</span> {</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  <span class="keywordflow">return</span> RawTensor(<span class="keyword">get</span>(name, <a class="code" href="namespacearm__compute_1_1test.xhtml#aa337ab76176f3c4193642ac6de3a61cf">get_format_for_channel</a>(channel), channel));</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span> }</div><div class="ttc" id="namespacearm__compute_1_1test_xhtml_aa337ab76176f3c4193642ac6de3a61cf"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#aa337ab76176f3c4193642ac6de3a61cf">arm_compute::test::get_format_for_channel</a></div><div class="ttdeci">Format get_format_for_channel(Channel channel)</div><div class="ttdoc">Look up the format corresponding to a channel. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2_utils_8h_source.xhtml#l00138">Utils.h:138</a></div></div>
+<div class="fragment"><div class="line"><a name="l004
55"></a><span class="lineno"> 455</span> {</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  <span class="keywordflow">return</span> RawTensor(<span class="keyword">get</span>(name, <a class="code" href="namespacearm__compute_1_1test.xhtml#aa337ab76176f3c4193642ac6de3a61cf">get_format_for_channel</a>(channel), channel));</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span> }</div><div class="ttc" id="namespacearm__compute_1_1test_xhtml_aa337ab76176f3c4193642ac6de3a61cf"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#aa337ab76176f3c4193642ac6de3a61cf">arm_compute::test::get_format_for_channel</a></div><div class="ttdeci">Format get_format_for_channel(Channel channel)</div><div class="ttdoc">Look up the format corresponding to a channel. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2_utils_8h_source.xhtml#l00138">Utils.h:138</a></div></div>
</div><!-- fragment -->
</div>
</div>
</dd>
</dl>
-<p>Definition at line <a class="el" href="_assets_library_8cpp_source.xhtml#l004
37">437</a> of file <a class="el" href="_assets_library_8cpp_source.xhtml">AssetsLibrary.cpp</a>.</p>
-<div class="fragment"><div class="line"><a name="l00438"></a><span class="lineno"> 438</span> {</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  <span class="keywordflow">return</span> find_or_create_raw_tensor(name, format, channel);</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span> }</div></div><!-- fragment -->
+<p>Definition at line <a class="el" href="_assets_library_8cpp_source.xhtml#l004
59">459</a> of file <a class="el" href="_assets_library_8cpp_source.xhtml">AssetsLibrary.cpp</a>.</p>
+<div class="fragment"><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>  <span class="keywordflow">return</span> find_or_create_raw_tensor(name, format, channel);</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span> }</div></div><!-- fragment -->
</div>
</div>
<a class="anchor" id="ad6182f07b3eda32931598aa4f2bfc11a"></a>
</dd>
</dl>
-<p>Definition at line <a class="el" href="_assets_library_8cpp_source.xhtml#l004
42">442</a> of file <a class="el" href="_assets_library_8cpp_source.xhtml">AssetsLibrary.cpp</a>.</p>
-<div class="fragment"><div class="line"><a name="l00443"></a><span class="lineno"> 443</span> {</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  <span class="keywordflow">return</span> RawTensor(find_or_create_raw_tensor(name, format, channel));</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span> }</div></div><!-- fragment -->
+<p>Definition at line <a class="el" href="_assets_library_8cpp_source.xhtml#l004
64">464</a> of file <a class="el" href="_assets_library_8cpp_source.xhtml">AssetsLibrary.cpp</a>.</p>
+<div class="fragment"><div class="line"><a name="l00465"></a><span class="lineno"> 465</span> {</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  <span class="keywordflow">return</span> RawTensor(find_or_create_raw_tensor(name, format, channel));</div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span> }</div></div><!-- fragment -->
</div>
</div>
<a class="anchor" id="acc474b96886b5fd500460c7b25dc84fa"></a>
</dd>
</dl>
-<p>Definition at line <a class="el" href="_assets_library_8cpp_source.xhtml#l00
395">395</a> of file <a class="el" href="_assets_library_8cpp_source.xhtml">AssetsLibrary.cpp</a>.</p>
+<p>Definition at line <a class="el" href="_assets_library_8cpp_source.xhtml#l00
417">417</a> of file <a class="el" href="_assets_library_8cpp_source.xhtml">AssetsLibrary.cpp</a>.</p>
<p>References <a class="el" href="_simple_tensor_8h_source.xhtml#l00245">SimpleTensor< T >::shape()</a>.</p>
-<div class="fragment"><div class="line"><a name="l00
396"></a><span class="lineno"> 396</span> {</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  <span class="keywordflow">return</span> load_image(name).<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>();</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span> }</div><div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_aba5871b3e4a65d057ec1c28fce8b00ba"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">arm_compute::test::SimpleTensor::shape</a></div><div class="ttdeci">TensorShape shape() const override</div><div class="ttdoc">Shape of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00245">SimpleTensor.h:245</a></div></div>
+<div class="fragment"><div class="line"><a name="l00
418"></a><span class="lineno"> 418</span> {</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  <span class="keywordflow">return</span> load_image(name).<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>();</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span> }</div><div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_aba5871b3e4a65d057ec1c28fce8b00ba"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">arm_compute::test::SimpleTensor::shape</a></div><div class="ttdeci">TensorShape shape() const override</div><div class="ttdoc">Shape of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00245">SimpleTensor.h:245</a></div></div>
</div><!-- fragment -->
</div>
</div>
<p>Path to assets directory used to initialise library. </p>
-<p>Definition at line <a class="el" href="_assets_library_8cpp_source.xhtml#l00
194">194</a> of file <a class="el" href="_assets_library_8cpp_source.xhtml">AssetsLibrary.cpp</a>.</p>
+<p>Definition at line <a class="el" href="_assets_library_8cpp_source.xhtml#l00
215">215</a> of file <a class="el" href="_assets_library_8cpp_source.xhtml">AssetsLibrary.cpp</a>.</p>
-<p>Referenced by <a class="el" href="_assets_library_8h_source.xhtml#l00685">AssetsLibrary::fill_layer_data()</a>.</p>
-<div class="fragment"><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="keywordflow">return</span> _library_path;</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span> }</div></div><!-- fragment -->
+<p>Referenced by <a class="el" href="_assets_library_8h_source.xhtml#l00688">AssetsLibrary::fill_layer_data()</a>.</p>
+<div class="fragment"><div class="line"><a name="l00216"></a><span class="lineno"> 216</span> {</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <span class="keywordflow">return</span> _library_path;</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span> }</div></div><!-- fragment -->
</div>
</div>
<a class="anchor" id="a4035a1140831801ced5dfa1d9fe6988a"></a>
<p>Seed that is used to fill tensors with random values. </p>
-<p>Definition at line <a class="el" href="_assets_library_8cpp_source.xhtml#l00
199">199</a> of file <a class="el" href="_assets_library_8cpp_source.xhtml">AssetsLibrary.cpp</a>.</p>
-<div class="fragment"><div class="line"><a name="l00200"></a><span class="lineno"> 200</span> {</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="keywordflow">return</span> _seed;</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span> }</div></div><!-- fragment -->
+<p>Definition at line <a class="el" href="_assets_library_8cpp_source.xhtml#l00
220">220</a> of file <a class="el" href="_assets_library_8cpp_source.xhtml">AssetsLibrary.cpp</a>.</p>
+<div class="fragment"><div class="line"><a name="l00221"></a><span class="lineno"> 221</span> {</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <span class="keywordflow">return</span> _seed;</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span> }</div></div><!-- fragment -->
</div>
</div>
<hr/>The documentation for this class was generated from the following files:<ul>
<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
<ul>
<li class="navelem"><a class="el" href="namespacearm__compute.xhtml">arm_compute</a></li><li class="navelem"><a class="el" href="namespacearm__compute_1_1test.xhtml">test</a></li><li class="navelem"><a class="el" href="classarm__compute_1_1test_1_1_assets_library.xhtml">AssetsLibrary</a></li>
- <li class="footer">Generated on Wed Jan 24 2018 14:30:46 for Compute Library by
+ <li class="footer">Generated on Thu Feb 22 2018 15:45:26 for Compute Library by
<a href="http://www.doxygen.org/index.html">
<img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
</ul>
projects / platform / upstream / armcl.git / blobdiff