bugfix: CLDeconvolutionLayer::validate fails if bias==NULL (#439)

[platform/upstream/armcl.git] / documentation / classarm__compute_1_1test_1_1_activation_layer_fixture.xhtml

diff --git a/documentation/classarm__compute_1_1test_1_1_activation_layer_fixture.xhtml b/documentation/classarm__compute_1_1test_1_1_activation_layer_fixture.xhtml
index 22902a4..01041e0 100644 (file)
--- a/documentation/classarm__compute_1_1test_1_1_activation_layer_fixture.xhtml
+++ b/documentation/classarm__compute_1_1test_1_1_activation_layer_fixture.xhtml
@@ -40,7 +40,7 @@
  <tr style="height: 56px;">
   <td style="padding-left: 0.5em;">
    <div id="projectname">Compute Library
-   &#160;<span id="projectnumber">18.01</span>
+   &#160;<span id="projectnumber">18.03</span>
    </div>
   </td>
  </tr>
@@ -181,8 +181,8 @@ class arm_compute::test::ActivationLayerFixture&lt; TensorType, Function, Access
 </table>
 </div><div class="memdoc">
 
-<p>Definition at line <a class="el" href="benchmark_2fixtures_2_activation_layer_fixture_8h_source.xhtml#l00061">61</a> of file <a class="el" href="benchmark_2fixtures_2_activation_layer_fixture_8h_source.xhtml">ActivationLayerFixture.h</a>.</p>
-<div class="fragment"><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;    {</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;        act_layer.run();</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;    }</div></div><!-- fragment -->
+<p>Definition at line <a class="el" href="benchmark_2fixtures_2_activation_layer_fixture_8h_source.xhtml#l00062">62</a> of file <a class="el" href="benchmark_2fixtures_2_activation_layer_fixture_8h_source.xhtml">ActivationLayerFixture.h</a>.</p>
+<div class="fragment"><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;    {</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;        act_layer.run();</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;    }</div></div><!-- fragment -->
 </div>
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 <a class="anchor" id="a133406d92bc4207e919a6129cb437440"></a>
@@ -231,10 +231,10 @@ class arm_compute::test::ActivationLayerFixture&lt; TensorType, Function, Access
 
 <p>Definition at line <a class="el" href="benchmark_2fixtures_2_activation_layer_fixture_8h_source.xhtml#l00043">43</a> of file <a class="el" href="benchmark_2fixtures_2_activation_layer_fixture_8h_source.xhtml">ActivationLayerFixture.h</a>.</p>
 
-<p>References <a class="el" href="_c_l_2_convolution_8cpp_source.xhtml#l00119">arm_compute::test::validation::data_type</a>, <a class="el" href="_dimensions_8h_source.xhtml#l00122">Dimensions&lt; T &gt;::num_dimensions()</a>, <a class="el" href="_tensor_shape_8h_source.xhtml#l00074">TensorShape::set()</a>, and <a class="el" href="_c_l_2_convolution_8cpp_source.xhtml#l00119">arm_compute::test::validation::shape</a>.</p>
-<div class="fragment"><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;    {</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;        <span class="comment">// Set batched in source and destination shapes</span></div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;        <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>.set(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>.num_dimensions(), batches);</div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;        <span class="comment">// Create tensors</span></div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;        <span class="keyword">const</span> <span class="keywordtype">int</span> fixed_point_position = 4;</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;        src                            = create_tensor&lt;TensorType&gt;(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, 1, fixed_point_position);</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;        dst                            = create_tensor&lt;TensorType&gt;(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, 1, fixed_point_position);</div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;        <span class="comment">// Create and configure function</span></div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;        act_layer.configure(&amp;src, &amp;dst, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>);</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;</div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;        <span class="comment">// Allocate tensors</span></div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;        src.allocator()-&gt;allocate();</div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;        dst.allocator()-&gt;allocate();</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;    }</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="validation_2_c_l_2_g_e_m_m_8cpp_source.xhtml#l00116">arm_compute::test::validation::data_type</a>, <a class="el" href="_dimensions_8h_source.xhtml#l00122">Dimensions&lt; T &gt;::num_dimensions()</a>, <a class="el" href="_tensor_shape_8h_source.xhtml#l00077">TensorShape::set()</a>, and <a class="el" href="_c_l_2_convolution_8cpp_source.xhtml#l00133">arm_compute::test::validation::shape</a>.</p>
+<div class="fragment"><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;    {</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;        <span class="comment">// Set batched in source and destination shapes</span></div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;        <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>.set(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>.num_dimensions(), batches);</div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;        <span class="comment">// Create tensors</span></div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;        <span class="keyword">const</span> <span class="keywordtype">int</span>              fixed_point_position = 4;</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;        <span class="keyword">const</span> QuantizationInfo q_info(0.5f, -10);</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;        src = create_tensor&lt;TensorType&gt;(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, 1, fixed_point_position, q_info);</div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;        dst = create_tensor&lt;TensorType&gt;(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, 1, fixed_point_position, q_info);</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;        <span class="comment">// Create and configure function</span></div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;        act_layer.configure(&amp;src, &amp;dst, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>);</div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;        <span class="comment">// Allocate tensors</span></div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;        src.allocator()-&gt;allocate();</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;        dst.allocator()-&gt;allocate();</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;    }</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_1_1validation_xhtml_a096668313a9a819d54a2e65ec21ff0cc"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">arm_compute::test::validation::info</a></div><div class="ttdeci">src info() -&gt; set_format(Format::S16)</div></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>
+<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ac2ad7f431e3446fddcd9b6b9f93c4c14"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">arm_compute::test::validation::data_type</a></div><div class="ttdeci">data_type</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_g_e_m_m_8cpp_source.xhtml#l00116">GEMM.cpp:116</a></div></div>
 </div><!-- fragment -->
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@@ -259,8 +259,8 @@ class arm_compute::test::ActivationLayerFixture&lt; TensorType, Function, Access
 </table>
 </div><div class="memdoc">
 
-<p>Definition at line <a class="el" href="benchmark_2fixtures_2_activation_layer_fixture_8h_source.xhtml#l00066">66</a> of file <a class="el" href="benchmark_2fixtures_2_activation_layer_fixture_8h_source.xhtml">ActivationLayerFixture.h</a>.</p>
-<div class="fragment"><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;    {</div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;        sync_if_necessary&lt;TensorType&gt;();</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;        sync_tensor_if_necessary&lt;TensorType&gt;(dst);</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;    }</div></div><!-- fragment -->
+<p>Definition at line <a class="el" href="benchmark_2fixtures_2_activation_layer_fixture_8h_source.xhtml#l00067">67</a> of file <a class="el" href="benchmark_2fixtures_2_activation_layer_fixture_8h_source.xhtml">ActivationLayerFixture.h</a>.</p>
+<div class="fragment"><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;    {</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;        sync_if_necessary&lt;TensorType&gt;();</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;        sync_tensor_if_necessary&lt;TensorType&gt;(dst);</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;    }</div></div><!-- fragment -->
 </div>
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 <a class="anchor" id="a4adab6322a0276f34a7d656d49fc865c"></a>
@@ -284,8 +284,8 @@ class arm_compute::test::ActivationLayerFixture&lt; TensorType, Function, Access
 </table>
 </div><div class="memdoc">
 
-<p>Definition at line <a class="el" href="benchmark_2fixtures_2_activation_layer_fixture_8h_source.xhtml#l00072">72</a> of file <a class="el" href="benchmark_2fixtures_2_activation_layer_fixture_8h_source.xhtml">ActivationLayerFixture.h</a>.</p>
-<div class="fragment"><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;    {</div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;        src.allocator()-&gt;free();</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;        dst.allocator()-&gt;free();</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;    }</div></div><!-- fragment -->
+<p>Definition at line <a class="el" href="benchmark_2fixtures_2_activation_layer_fixture_8h_source.xhtml#l00073">73</a> of file <a class="el" href="benchmark_2fixtures_2_activation_layer_fixture_8h_source.xhtml">ActivationLayerFixture.h</a>.</p>
+<div class="fragment"><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;    {</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;        src.allocator()-&gt;free();</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;        dst.allocator()-&gt;free();</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;    }</div></div><!-- fragment -->
 </div>
 </div>
 <hr/>The documentation for this class was generated from the following file:<ul>
@@ -297,7 +297,7 @@ class arm_compute::test::ActivationLayerFixture&lt; TensorType, Function, Access
 <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_activation_layer_fixture.xhtml">ActivationLayerFixture</a></li>
-    <li class="footer">Generated on Wed Jan 24 2018 14:30:46 for Compute Library by
+    <li class="footer">Generated on Fri Mar 2 2018 12:37:59 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>