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-rw-r--r--latest/classarmnn_1_1_fully_connected_layer.html107
1 files changed, 61 insertions, 46 deletions
diff --git a/latest/classarmnn_1_1_fully_connected_layer.html b/latest/classarmnn_1_1_fully_connected_layer.html
index de0ba1eda5..66a158aa47 100644
--- a/latest/classarmnn_1_1_fully_connected_layer.html
+++ b/latest/classarmnn_1_1_fully_connected_layer.html
@@ -36,7 +36,7 @@
<img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 15rem; margin-top: .5rem; margin-left 13px"/>
<td id="projectalign" style="padding-left: 0.9em;">
<div id="projectname">
- &#160;<span id="projectnumber">24.02</span>
+ &#160;<span id="projectnumber">24.05</span>
</div>
</td>
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@@ -490,7 +490,7 @@ Additional Inherited Members</h2></td></tr>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; <span class="keywordflow">return</span> factory.CreateWorkload(<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">LayerType::FullyConnected</a>, descriptor, <a class="code" href="classarmnn_1_1_layer_with_parameters.html#a30a858b2b26d651a066537e499fbf40d">PrepInfoAndDesc</a>(descriptor));</div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;}</div>
</div><!-- fragment -->
-<p class="reference">References <a class="el" href="classarmnn_1_1_i_workload_factory.html#a694a8411c8c799da95306034d274930b">IWorkloadFactory::CreateWorkload()</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">armnn::FullyConnected</a>, <a class="el" href="_layer_with_parameters_8hpp_source.html#l00044">LayerWithParameters&lt; FullyConnectedDescriptor &gt;::PrepInfoAndDesc()</a>, and <a class="el" href="_layer_8cpp_source.html#l00287">Layer::SetAdditionalInfo()</a>.</p>
+<p class="reference">References <a class="el" href="classarmnn_1_1_i_workload_factory.html#a694a8411c8c799da95306034d274930b">IWorkloadFactory::CreateWorkload()</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">armnn::FullyConnected</a>, <a class="el" href="_layer_with_parameters_8hpp_source.html#l00044">LayerWithParameters&lt; FullyConnectedDescriptor &gt;::PrepInfoAndDesc()</a>, and <a class="el" href="_layer_8cpp_source.html#l00303">Layer::SetAdditionalInfo()</a>.</p>
</div>
</div>
@@ -522,10 +522,10 @@ Additional Inherited Members</h2></td></tr>
<p>Reimplemented from <a class="el" href="classarmnn_1_1_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">Layer</a>.</p>
-<p class="definition">Definition at line <a class="el" href="_fully_connected_layer_8cpp_source.html#l00070">70</a> of file <a class="el" href="_fully_connected_layer_8cpp_source.html">FullyConnectedLayer.cpp</a>.</p>
-<div class="fragment"><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160;{</div>
-<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; strategy.ExecuteStrategy(<span class="keyword">this</span>, <a class="code" href="classarmnn_1_1_layer_with_parameters.html#afa3e8a8f23589b1eaddbe203825bbdcf">GetParameters</a>(), {}, <a class="code" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div>
-<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160;}</div>
+<p class="definition">Definition at line <a class="el" href="_fully_connected_layer_8cpp_source.html#l00084">84</a> of file <a class="el" href="_fully_connected_layer_8cpp_source.html">FullyConnectedLayer.cpp</a>.</p>
+<div class="fragment"><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160;{</div>
+<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; strategy.ExecuteStrategy(<span class="keyword">this</span>, <a class="code" href="classarmnn_1_1_layer_with_parameters.html#afa3e8a8f23589b1eaddbe203825bbdcf">GetParameters</a>(), {}, <a class="code" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div>
+<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160;}</div>
</div><!-- fragment -->
<p class="reference">References <a class="el" href="classarmnn_1_1_i_strategy.html#ad4f8c9ff973cf6a603d26b56c5b34967">IStrategy::ExecuteStrategy()</a>, <a class="el" href="_layer_8hpp_source.html#l00332">Layer::GetName()</a>, and <a class="el" href="_layer_with_parameters_8hpp_source.html#l00019">LayerWithParameters&lt; FullyConnectedDescriptor &gt;::GetParameters()</a>.</p>
@@ -559,11 +559,11 @@ Additional Inherited Members</h2></td></tr>
<p>Reimplemented from <a class="el" href="classarmnn_1_1_layer.html#a45544992c89527fa4d51498a91401640">Layer</a>.</p>
-<p class="definition">Definition at line <a class="el" href="_fully_connected_layer_8cpp_source.html#l00064">64</a> of file <a class="el" href="_fully_connected_layer_8cpp_source.html">FullyConnectedLayer.cpp</a>.</p>
-<div class="fragment"><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160;{</div>
-<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <a class="code" href="classarmnn_1_1_i_connectable_layer.html#aba5c20cadbebd2e7ba67e20a47e31472">Layer::ImmutableConstantTensors</a> tensors = <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad588423ab0d55c8ec4860a7f0a21f5a0">GetConnectedConstantAsInputTensors</a>();</div>
-<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; <span class="keywordflow">return</span> tensors;</div>
-<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160;}</div>
+<p class="definition">Definition at line <a class="el" href="_fully_connected_layer_8cpp_source.html#l00078">78</a> of file <a class="el" href="_fully_connected_layer_8cpp_source.html">FullyConnectedLayer.cpp</a>.</p>
+<div class="fragment"><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160;{</div>
+<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; <a class="code" href="classarmnn_1_1_i_connectable_layer.html#aba5c20cadbebd2e7ba67e20a47e31472">Layer::ImmutableConstantTensors</a> tensors = <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad588423ab0d55c8ec4860a7f0a21f5a0">GetConnectedConstantAsInputTensors</a>();</div>
+<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; <span class="keywordflow">return</span> tensors;</div>
+<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160;}</div>
</div><!-- fragment -->
<p class="reference">References <a class="el" href="_layer_with_parameters_8hpp_source.html#l00059">LayerWithParameters&lt; FullyConnectedDescriptor &gt;::GetConnectedConstantAsInputTensors()</a>.</p>
@@ -606,20 +606,25 @@ Additional Inherited Members</h2></td></tr>
<p class="definition">Definition at line <a class="el" href="_fully_connected_layer_8cpp_source.html#l00035">35</a> of file <a class="el" href="_fully_connected_layer_8cpp_source.html">FullyConnectedLayer.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;{</div>
-<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(inputShapes.size() == 2);</div>
-<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; <span class="keyword">const</span> TensorShape&amp; inputShape = inputShapes[0];</div>
-<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; <span class="keyword">const</span> TensorShape weightShape = inputShapes[1];</div>
-<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; </div>
-<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; <span class="comment">// Output for FC is [1, w[1]].</span></div>
-<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batches = inputShape[0];</div>
-<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dimIdx = <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_fully_connected_descriptor.html#a281fcaec86e17c97f7b8402633f6b55a">m_TransposeWeightMatrix</a> ? 0 : 1;</div>
-<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="keywordflow">return</span> std::vector&lt;TensorShape&gt;({ TensorShape({batches, weightShape[dimIdx]})});</div>
-<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160;}</div>
+<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; <span class="keywordflow">if</span> (inputShapes.size() != 2)</div>
+<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; {</div>
+<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(<span class="stringliteral">&quot;inputShapes&#39; size is \&quot;&quot;</span> + std::to_string(inputShapes.size()) +</div>
+<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; <span class="stringliteral">&quot;\&quot; - should be \&quot;2\&quot;.&quot;</span>);</div>
+<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; }</div>
+<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; </div>
+<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; <span class="keyword">const</span> TensorShape&amp; inputShape = inputShapes[0];</div>
+<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; <span class="keyword">const</span> TensorShape weightShape = inputShapes[1];</div>
+<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; </div>
+<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; <span class="comment">// Output for FC is [1, w[1]].</span></div>
+<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batches = inputShape[0];</div>
+<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dimIdx = <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_fully_connected_descriptor.html#a281fcaec86e17c97f7b8402633f6b55a">m_TransposeWeightMatrix</a> ? 0 : 1;</div>
+<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; </div>
+<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; <span class="keywordflow">return</span> std::vector&lt;TensorShape&gt;({ TensorShape({batches, weightShape[dimIdx]})});</div>
+<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160;}</div>
</div><!-- fragment -->
-<p class="reference">References <a class="el" href="_assert_8hpp_source.html#l00014">ARMNN_ASSERT</a>, <a class="el" href="_layer_with_parameters_8hpp_source.html#l00052">LayerWithParameters&lt; FullyConnectedDescriptor &gt;::m_Param</a>, and <a class="el" href="_descriptors_8hpp_source.html#l00528">FullyConnectedDescriptor::m_TransposeWeightMatrix</a>.</p>
+<p class="reference">References <a class="el" href="_layer_with_parameters_8hpp_source.html#l00052">LayerWithParameters&lt; FullyConnectedDescriptor &gt;::m_Param</a>, and <a class="el" href="_descriptors_8hpp_source.html#l00528">FullyConnectedDescriptor::m_TransposeWeightMatrix</a>.</p>
-<p class="reference">Referenced by <a class="el" href="_fully_connected_layer_8cpp_source.html#l00048">FullyConnectedLayer::ValidateTensorShapesFromInputs()</a>.</p>
+<p class="reference">Referenced by <a class="el" href="_fully_connected_layer_8cpp_source.html#l00053">FullyConnectedLayer::ValidateTensorShapesFromInputs()</a>.</p>
</div>
</div>
@@ -689,23 +694,32 @@ Additional Inherited Members</h2></td></tr>
<p>Implements <a class="el" href="classarmnn_1_1_layer.html#a84ff600212ba26e665de9b978ec896a4">Layer</a>.</p>
-<p class="definition">Definition at line <a class="el" href="_fully_connected_layer_8cpp_source.html#l00048">48</a> of file <a class="el" href="_fully_connected_layer_8cpp_source.html">FullyConnectedLayer.cpp</a>.</p>
-<div class="fragment"><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160;{</div>
-<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; <span class="keyword">const</span> TensorShape&amp; outputShape = <a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div>
-<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; </div>
-<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; <a class="code" href="classarmnn_1_1_layer.html#a448afc716fda85394df1e8e5b7d530e8">VerifyShapeInferenceType</a>(outputShape, <a class="code" href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>);</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; std::vector&lt;TensorShape&gt; inferredShapes = <a class="code" href="classarmnn_1_1_fully_connected_layer.html#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a>(</div>
-<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; {<a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(),</div>
-<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; <a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(1).<a class="code" href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()});</div>
-<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; </div>
-<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(inferredShapes.size() == 1);</div>
-<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(inferredShapes[0].GetDimensionality() == <a class="code" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">Dimensionality::Specified</a>);</div>
-<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; </div>
-<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; <a class="code" href="classarmnn_1_1_layer.html#aeb2d638cc0e02c10075e015100996f2d">ValidateAndCopyShape</a>(outputShape, inferredShapes[0], <a class="code" href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>, <span class="stringliteral">&quot;FullyConnectedLayer&quot;</span>);</div>
-<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160;}</div>
+<p class="definition">Definition at line <a class="el" href="_fully_connected_layer_8cpp_source.html#l00053">53</a> of file <a class="el" href="_fully_connected_layer_8cpp_source.html">FullyConnectedLayer.cpp</a>.</p>
+<div class="fragment"><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160;{</div>
+<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; <span class="keyword">const</span> TensorShape&amp; outputShape = <a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</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; <a class="code" href="classarmnn_1_1_layer.html#a448afc716fda85394df1e8e5b7d530e8">VerifyShapeInferenceType</a>(outputShape, <a class="code" href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>);</div>
+<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; </div>
+<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; std::vector&lt;TensorShape&gt; inferredShapes = <a class="code" href="classarmnn_1_1_fully_connected_layer.html#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a>(</div>
+<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; {<a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(),</div>
+<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; <a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(1).<a class="code" href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()});</div>
+<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; <span class="keywordflow">if</span> (inferredShapes.size() != 1)</div>
+<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; {</div>
+<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">&quot;inferredShapes has &quot;</span></div>
+<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; + std::to_string(inferredShapes.size()) +</div>
+<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; <span class="stringliteral">&quot; elements - should only have 1.&quot;</span>);</div>
+<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; </div>
+<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; <span class="keywordflow">if</span> (inferredShapes[0].GetDimensionality() != <a class="code" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">Dimensionality::Specified</a>)</div>
+<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; {</div>
+<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">&quot;inferredShapes&#39; dimensionality has not been specified.&quot;</span>);</div>
+<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; </div>
+<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; <a class="code" href="classarmnn_1_1_layer.html#aeb2d638cc0e02c10075e015100996f2d">ValidateAndCopyShape</a>(outputShape, inferredShapes[0], <a class="code" href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>, <span class="stringliteral">&quot;FullyConnectedLayer&quot;</span>);</div>
+<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160;}</div>
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-<p class="reference">References <a class="el" href="_assert_8hpp_source.html#l00014">ARMNN_ASSERT</a>, <a class="el" href="_layer_8hpp_source.html#l00337">Layer::GetInputSlot()</a>, <a class="el" href="_layer_8hpp_source.html#l00339">Layer::GetOutputSlot()</a>, <a class="el" href="_tensor_8hpp_source.html#l00193">TensorInfo::GetShape()</a>, <a class="el" href="_layer_8cpp_source.html#l00592">InputSlot::GetTensorInfo()</a>, <a class="el" href="_layer_8cpp_source.html#l00092">OutputSlot::GetTensorInfo()</a>, <a class="el" href="_fully_connected_layer_8cpp_source.html#l00035">FullyConnectedLayer::InferOutputShapes()</a>, <a class="el" href="_layer_8hpp_source.html#l00441">Layer::m_ShapeInferenceMethod</a>, <a class="el" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">armnn::Specified</a>, <a class="el" href="_layer_8cpp_source.html#l00435">Layer::ValidateAndCopyShape()</a>, and <a class="el" href="_layer_8cpp_source.html#l00504">Layer::VerifyShapeInferenceType()</a>.</p>
+<p class="reference">References <a class="el" href="_layer_8hpp_source.html#l00337">Layer::GetInputSlot()</a>, <a class="el" href="_layer_8hpp_source.html#l00339">Layer::GetOutputSlot()</a>, <a class="el" href="_tensor_8hpp_source.html#l00193">TensorInfo::GetShape()</a>, <a class="el" href="_layer_8cpp_source.html#l00614">InputSlot::GetTensorInfo()</a>, <a class="el" href="_layer_8cpp_source.html#l00100">OutputSlot::GetTensorInfo()</a>, <a class="el" href="_fully_connected_layer_8cpp_source.html#l00035">FullyConnectedLayer::InferOutputShapes()</a>, <a class="el" href="_layer_8hpp_source.html#l00441">Layer::m_ShapeInferenceMethod</a>, <a class="el" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">armnn::Specified</a>, <a class="el" href="_layer_8cpp_source.html#l00457">Layer::ValidateAndCopyShape()</a>, and <a class="el" href="_layer_8cpp_source.html#l00526">Layer::VerifyShapeInferenceType()</a>.</p>
</div>
</div>
@@ -715,21 +729,22 @@ Additional Inherited Members</h2></td></tr>
</ul>
</div><!-- contents -->
</div><!-- doc-content -->
-<div class="ttc" id="a_assert_8hpp_html_a5698be69cbd5dfe6c28fcd9867e8cbed"><div class="ttname"><a href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a></div><div class="ttdeci">#define ARMNN_ASSERT(COND)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.html#l00014">Assert.hpp:14</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_output_slot_html_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">armnn::OutputSlot::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo &amp; GetTensorInfo() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00092">Layer.cpp:92</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_output_slot_html_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">armnn::OutputSlot::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo &amp; GetTensorInfo() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00100">Layer.cpp:100</a></div></div>
<div class="ttc" id="astructarmnn_1_1_fully_connected_descriptor_html_a281fcaec86e17c97f7b8402633f6b55a"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.html#a281fcaec86e17c97f7b8402633f6b55a">armnn::FullyConnectedDescriptor::m_TransposeWeightMatrix</a></div><div class="ttdeci">bool m_TransposeWeightMatrix</div><div class="ttdoc">Enable/disable transpose weight matrix.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00528">Descriptors.hpp:528</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_layer_html_aeb2d638cc0e02c10075e015100996f2d"><div class="ttname"><a href="classarmnn_1_1_layer.html#aeb2d638cc0e02c10075e015100996f2d">armnn::Layer::ValidateAndCopyShape</a></div><div class="ttdeci">void ValidateAndCopyShape(const TensorShape &amp;outputShape, const TensorShape &amp;inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &amp;layerName, const unsigned int outputSlotIndex=0)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00435">Layer.cpp:435</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_layer_html_aeb2d638cc0e02c10075e015100996f2d"><div class="ttname"><a href="classarmnn_1_1_layer.html#aeb2d638cc0e02c10075e015100996f2d">armnn::Layer::ValidateAndCopyShape</a></div><div class="ttdeci">void ValidateAndCopyShape(const TensorShape &amp;outputShape, const TensorShape &amp;inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &amp;layerName, const unsigned int outputSlotIndex=0)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00457">Layer.cpp:457</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_a0e36688a43c35668d8db5257274c68fe"><div class="ttname"><a href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">armnn::Layer::GetOutputSlot</a></div><div class="ttdeci">const OutputSlot &amp; GetOutputSlot(unsigned int index=0) const override</div><div class="ttdoc">Get the const output slot handle by slot index.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00339">Layer.hpp:339</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_acf8b8e23bf647836592982f97088d375"><div class="ttname"><a href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">armnn::Layer::GetInputSlot</a></div><div class="ttdeci">const InputSlot &amp; GetInputSlot(unsigned int index) const override</div><div class="ttdoc">Get a const input slot handle by slot index.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00337">Layer.hpp:337</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_html_afa3e8a8f23589b1eaddbe203825bbdcf"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html#afa3e8a8f23589b1eaddbe203825bbdcf">armnn::LayerWithParameters&lt; FullyConnectedDescriptor &gt;::GetParameters</a></div><div class="ttdeci">const FullyConnectedDescriptor &amp; GetParameters() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.html#l00019">LayerWithParameters.hpp:19</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_a7ddf0cf6f620d59c10e63495ace795d0"><div class="ttname"><a href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">armnn::Layer::GetName</a></div><div class="ttdeci">const char * GetName() const override</div><div class="ttdoc">Returns the name of the layer.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00332">Layer.hpp:332</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_html_aba5c20cadbebd2e7ba67e20a47e31472"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.html#aba5c20cadbebd2e7ba67e20a47e31472">armnn::IConnectableLayer::ImmutableConstantTensors</a></div><div class="ttdeci">std::vector&lt; std::reference_wrapper&lt; const std::shared_ptr&lt; ConstTensorHandle &gt; &gt;&gt; ImmutableConstantTensors</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00141">INetwork.hpp:141</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_input_slot_html_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">armnn::InputSlot::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo &amp; GetTensorInfo() const override</div><div class="ttdoc">Gets the TensorInfo for this InputSlot.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00592">Layer.cpp:592</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_input_slot_html_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">armnn::InputSlot::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo &amp; GetTensorInfo() const override</div><div class="ttdoc">Gets the TensorInfo for this InputSlot.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00614">Layer.cpp:614</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_html_ad588423ab0d55c8ec4860a7f0a21f5a0"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html#ad588423ab0d55c8ec4860a7f0a21f5a0">armnn::LayerWithParameters&lt; FullyConnectedDescriptor &gt;::GetConnectedConstantAsInputTensors</a></div><div class="ttdeci">Layer::ImmutableConstantTensors GetConnectedConstantAsInputTensors() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.html#l00059">LayerWithParameters.hpp:59</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_html_ad32ac22bc72e28dfd6b466d143c8e262"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">armnn::LayerWithParameters&lt; FullyConnectedDescriptor &gt;::m_Param</a></div><div class="ttdeci">FullyConnectedDescriptor m_Param</div><div class="ttdoc">The parameters for the layer (not including tensor-valued weights etc.).</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.html#l00052">LayerWithParameters.hpp:52</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_html_a30a858b2b26d651a066537e499fbf40d"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html#a30a858b2b26d651a066537e499fbf40d">armnn::LayerWithParameters&lt; FullyConnectedDescriptor &gt;::PrepInfoAndDesc</a></div><div class="ttdeci">WorkloadInfo PrepInfoAndDesc(QueueDescriptor &amp;descriptor) const</div><div class="ttdoc">Helper function to reduce duplication in *Layer::CreateWorkload.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.html#l00044">LayerWithParameters.hpp:44</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_layer_html_a448afc716fda85394df1e8e5b7d530e8"><div class="ttname"><a href="classarmnn_1_1_layer.html#a448afc716fda85394df1e8e5b7d530e8">armnn::Layer::VerifyShapeInferenceType</a></div><div class="ttdeci">void VerifyShapeInferenceType(const TensorShape &amp;outputShape, ShapeInferenceMethod shapeInferenceMethod)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00504">Layer.cpp:504</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_layer_html_af7f0460d32511de0da525f1817d13e8c"><div class="ttname"><a href="classarmnn_1_1_layer.html#af7f0460d32511de0da525f1817d13e8c">armnn::Layer::SetAdditionalInfo</a></div><div class="ttdeci">void SetAdditionalInfo(QueueDescriptor &amp;descriptor) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00287">Layer.cpp:287</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_layer_validation_exception_html"><div class="ttname"><a href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00105">Exceptions.hpp:105</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_layer_html_a448afc716fda85394df1e8e5b7d530e8"><div class="ttname"><a href="classarmnn_1_1_layer.html#a448afc716fda85394df1e8e5b7d530e8">armnn::Layer::VerifyShapeInferenceType</a></div><div class="ttdeci">void VerifyShapeInferenceType(const TensorShape &amp;outputShape, ShapeInferenceMethod shapeInferenceMethod)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00526">Layer.cpp:526</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_layer_html_af7f0460d32511de0da525f1817d13e8c"><div class="ttname"><a href="classarmnn_1_1_layer.html#af7f0460d32511de0da525f1817d13e8c">armnn::Layer::SetAdditionalInfo</a></div><div class="ttdeci">void SetAdditionalInfo(QueueDescriptor &amp;descriptor) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00303">Layer.cpp:303</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_exception_html"><div class="ttname"><a href="classarmnn_1_1_exception.html">armnn::Exception</a></div><div class="ttdoc">Base class for all ArmNN exceptions so that users can filter to just those.</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00046">Exceptions.hpp:46</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">armnn::LayerType::FullyConnected</a></div><div class="ttdeci">@ FullyConnected</div></div>
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@@ -740,7 +755,7 @@ Additional Inherited Members</h2></td></tr>
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