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authorNikhil Raj <nikhil.raj@arm.com>2024-05-16 09:47:51 +0100
committerNikhil Raj <nikhil.raj@arm.com>2024-05-16 09:47:51 +0100
commit1dc83febfb76d6a770bdf3ba16c4034a970c2320 (patch)
tree66d27e5587e9010f3db26a23a348df844c88f8e6 /latest/_fill_layer_8cpp_source.html
parent38b600d8abb2c5f7a44511b5deddf441f975d51d (diff)
downloadarmnn-gh-pages.tar.gz
IVGCVSW-8260 Update Doxgen Docu for 24.05gh-pages
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com> Change-Id: If4bc983bf2793a27ded8e26ac2b29523fc1e4711
Diffstat (limited to 'latest/_fill_layer_8cpp_source.html')
-rw-r--r--latest/_fill_layer_8cpp_source.html55
1 files changed, 30 insertions, 25 deletions
diff --git a/latest/_fill_layer_8cpp_source.html b/latest/_fill_layer_8cpp_source.html
index 9caa30f1a3..7da05b40dc 100644
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+++ b/latest/_fill_layer_8cpp_source.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>
</tr>
@@ -97,7 +97,7 @@ $(document).ready(function(){initNavTree('_fill_layer_8cpp_source.html',''); ini
</div><!--header-->
<div class="contents">
<a href="_fill_layer_8cpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span>&#160;<span class="comment">//</span></div>
-<div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment">// Copyright © 2020-2023 Arm Ltd and Contributors. All rights reserved.</span></div>
+<div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment">// Copyright © 2020-2024 Arm Ltd and Contributors. All rights reserved.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div>
<div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_fill_layer_8hpp.html">FillLayer.hpp</a>&quot;</span></div>
@@ -139,27 +139,31 @@ $(document).ready(function(){initNavTree('_fill_layer_8cpp_source.html',''); ini
<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; <span class="keyword">auto</span> inferredShapes = <a class="code" href="classarmnn_1_1_layer.html#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a>({ <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="l00043"></a><span class="lineno"> 43</span>&#160; </div>
-<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(inferredShapes.size() == 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">// Cannot validate the output shape from the input shape. but we can validate that the correct dims have been</span></div>
-<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; <span class="comment">// inferred</span></div>
-<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; ConditionalThrowIfNotEqual&lt;LayerValidationException&gt;(</div>
-<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; <span class="stringliteral">&quot;FillLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.&quot;</span>,</div>
-<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; <a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>().GetNumDimensions(),</div>
-<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; inferredShapes[0][0]);</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; </div>
-<div class="line"><a name="l00054"></a><span class="lineno"><a class="line" href="classarmnn_1_1_fill_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc"> 54</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_fill_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">FillLayer::ExecuteStrategy</a>(<a class="code" href="classarmnn_1_1_i_strategy.html">IStrategy</a>&amp; strategy)<span class="keyword"> const</span></div>
-<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160;<span class="keyword"></span>{</div>
-<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; strategy.<a class="code" href="classarmnn_1_1_i_strategy.html#ad4f8c9ff973cf6a603d26b56c5b34967">ExecuteStrategy</a>(<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="l00044"></a><span class="lineno"> 44</span>&#160; <span class="keywordflow">if</span> (inferredShapes.size() != 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="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(<span class="stringliteral">&quot;inferredShapes has &quot;</span></div>
+<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; + std::to_string(inferredShapes.size()) +</div>
+<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; <span class="stringliteral">&quot; elements - should only have 1.&quot;</span>);</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; </div>
+<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; <span class="comment">// Cannot validate the output shape from the input shape. but we can validate that the correct dims have been</span></div>
+<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; <span class="comment">// inferred</span></div>
+<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; ConditionalThrowIfNotEqual&lt;LayerValidationException&gt;(</div>
+<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; <span class="stringliteral">&quot;FillLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.&quot;</span>,</div>
+<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; <a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>().GetNumDimensions(),</div>
+<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; inferredShapes[0][0]);</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; </div>
-<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160;} <span class="comment">// namespace armnn</span></div>
+<div class="line"><a name="l00059"></a><span class="lineno"><a class="line" href="classarmnn_1_1_fill_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc"> 59</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_fill_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">FillLayer::ExecuteStrategy</a>(<a class="code" href="classarmnn_1_1_i_strategy.html">IStrategy</a>&amp; strategy)<span class="keyword"> const</span></div>
+<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160;<span class="keyword"></span>{</div>
+<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; strategy.<a class="code" href="classarmnn_1_1_i_strategy.html#ad4f8c9ff973cf6a603d26b56c5b34967">ExecuteStrategy</a>(<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="l00062"></a><span class="lineno"> 62</span>&#160;}</div>
+<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;} <span class="comment">// namespace armnn</span></div>
</div><!-- fragment --></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_fill_layer_html_adfa912d0c4c6c00f1af2cbfa799572b7"><div class="ttname"><a href="classarmnn_1_1_fill_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">armnn::FillLayer::CreateWorkload</a></div><div class="ttdeci">virtual std::unique_ptr&lt; IWorkload &gt; CreateWorkload(const IWorkloadFactory &amp;factory) const override</div><div class="ttdoc">Makes a workload for the Fill layer.</div><div class="ttdef"><b>Definition:</b> <a href="_fill_layer_8cpp_source.html#l00021">FillLayer.cpp:21</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="a_workload_data_8hpp_html"><div class="ttname"><a href="_workload_data_8hpp.html">WorkloadData.hpp</a></div></div>
<div class="ttc" id="a_fill_layer_8hpp_html"><div class="ttname"><a href="_fill_layer_8hpp.html">FillLayer.hpp</a></div></div>
<div class="ttc" id="a_types_utils_8hpp_html"><div class="ttname"><a href="_types_utils_8hpp.html">TypesUtils.hpp</a></div></div>
@@ -172,26 +176,27 @@ $(document).ready(function(){initNavTree('_fill_layer_8cpp_source.html',''); ini
<div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_html"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html">armnn::LayerWithParameters</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.html#l00014">LayerWithParameters.hpp:14</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_fill_layer_html_ad6e7b358fc6cac001f14d5b465b546d9"><div class="ttname"><a href="classarmnn_1_1_fill_layer.html#ad6e7b358fc6cac001f14d5b465b546d9">armnn::FillLayer::FillLayer</a></div><div class="ttdeci">FillLayer(const FillDescriptor &amp;descriptor, const char *name)</div><div class="ttdoc">Constructor to create a FillLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_fill_layer_8cpp_source.html#l00016">FillLayer.cpp:16</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="anamespacearmnn_html_a88bebdfe6309aa2cd6831cfa73c296f0"><div class="ttname"><a href="namespacearmnn.html#a88bebdfe6309aa2cd6831cfa73c296f0">armnn::Fill</a></div><div class="ttdeci">void Fill(Encoder&lt; float &gt; &amp;output, const TensorShape &amp;desiredOutputShape, const float value)</div><div class="ttdoc">Creates a tensor and fills it with a scalar value.</div><div class="ttdef"><b>Definition:</b> <a href="_fill_8cpp_source.html#l00013">Fill.cpp:13</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</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; FillDescriptor &gt;::m_Param</a></div><div class="ttdeci">FillDescriptor 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; FillDescriptor &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_i_workload_factory_html"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8hpp_source.html#l00022">WorkloadFactory.hpp:22</a></div></div>
<div class="ttc" id="astructarmnn_1_1_fill_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_fill_queue_descriptor.html">armnn::FillQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00174">WorkloadData.hpp:174</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_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="anamespacearmnn_html_aa815fde54f6d8e8aa5b4f0301cf4178b"><div class="ttname"><a href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">armnn::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo &amp; GetTensorInfo(const ITensorHandle *tensorHandle)</div><div class="ttdoc">float32 helpers</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_utils_8hpp_source.html#l00033">RefWorkloadUtils.hpp:33</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_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="aclassarmnn_1_1_fill_layer_html"><div class="ttname"><a href="classarmnn_1_1_fill_layer.html">armnn::FillLayer</a></div><div class="ttdoc">This layer represents a fill operation.</div><div class="ttdef"><b>Definition:</b> <a href="_fill_layer_8hpp_source.html#l00013">FillLayer.hpp:13</a></div></div>
<div class="ttc" id="astructarmnn_1_1_fill_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_fill_descriptor.html">armnn::FillDescriptor</a></div><div class="ttdoc">A FillDescriptor for the FillLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00925">Descriptors.hpp:925</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_fill_layer_html_a35efb9d65e9a1d5b4663243eeeb4ae53"><div class="ttname"><a href="classarmnn_1_1_fill_layer.html#a35efb9d65e9a1d5b4663243eeeb4ae53">armnn::FillLayer::Clone</a></div><div class="ttdeci">FillLayer * Clone(Graph &amp;graph) const override</div><div class="ttdoc">Creates a dynamically-allocated copy of this layer.</div><div class="ttdef"><b>Definition:</b> <a href="_fill_layer_8cpp_source.html#l00029">FillLayer.cpp:29</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape &amp; GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00193">Tensor.hpp:193</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4adb3e3f51c9107e26c9bccf9a188ce2ed"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb3e3f51c9107e26c9bccf9a188ce2ed">armnn::LayerType::Fill</a></div><div class="ttdeci">@ Fill</div></div>
<div class="ttc" id="anamespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors.</div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.html#l00006">01_00_quick_start.dox:6</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_layer_html_a65ca562c882ad619684445a1402f415a"><div class="ttname"><a href="classarmnn_1_1_layer.html#a65ca562c882ad619684445a1402f415a">armnn::Layer::InferOutputShapes</a></div><div class="ttdeci">std::vector&lt; TensorShape &gt; InferOutputShapes(const std::vector&lt; TensorShape &gt; &amp;inputShapes) const override</div><div class="ttdoc">Infer the shape of the output(s) based on the provided input shape(s)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00410">Layer.cpp:410</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_layer_html_a0607e36e88f38c34c71c663164b76776"><div class="ttname"><a href="classarmnn_1_1_layer.html#a0607e36e88f38c34c71c663164b76776">armnn::Layer::VerifyLayerConnections</a></div><div class="ttdeci">void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &amp;location) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00391">Layer.cpp:391</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_layer_html_a65ca562c882ad619684445a1402f415a"><div class="ttname"><a href="classarmnn_1_1_layer.html#a65ca562c882ad619684445a1402f415a">armnn::Layer::InferOutputShapes</a></div><div class="ttdeci">std::vector&lt; TensorShape &gt; InferOutputShapes(const std::vector&lt; TensorShape &gt; &amp;inputShapes) const override</div><div class="ttdoc">Infer the shape of the output(s) based on the provided input shape(s)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00432">Layer.cpp:432</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_layer_html_a0607e36e88f38c34c71c663164b76776"><div class="ttname"><a href="classarmnn_1_1_layer.html#a0607e36e88f38c34c71c663164b76776">armnn::Layer::VerifyLayerConnections</a></div><div class="ttdeci">void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &amp;location) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00410">Layer.cpp:410</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_fill_layer_html_a8c8f543d7e9729362c266d12ec169966"><div class="ttname"><a href="classarmnn_1_1_fill_layer.html#a8c8f543d7e9729362c266d12ec169966">armnn::FillLayer::ValidateTensorShapesFromInputs</a></div><div class="ttdeci">void ValidateTensorShapesFromInputs() override</div><div class="ttdoc">Check if the input tensor shape(s) will lead to a valid configuration of FillLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_fill_layer_8cpp_source.html#l00034">FillLayer.cpp:34</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_fill_layer_html_a46fc3fdd4b2a5dd6d184e57983cf20bc"><div class="ttname"><a href="classarmnn_1_1_fill_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">armnn::FillLayer::ExecuteStrategy</a></div><div class="ttdeci">void ExecuteStrategy(IStrategy &amp;strategy) const override</div><div class="ttdoc">Apply a visitor to this layer.</div><div class="ttdef"><b>Definition:</b> <a href="_fill_layer_8cpp_source.html#l00054">FillLayer.cpp:54</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_fill_layer_html_a46fc3fdd4b2a5dd6d184e57983cf20bc"><div class="ttname"><a href="classarmnn_1_1_fill_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">armnn::FillLayer::ExecuteStrategy</a></div><div class="ttdeci">void ExecuteStrategy(IStrategy &amp;strategy) const override</div><div class="ttdoc">Apply a visitor to this layer.</div><div class="ttdef"><b>Definition:</b> <a href="_fill_layer_8cpp_source.html#l00059">FillLayer.cpp:59</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_afe508761cc8318b15329ba4acf7fbfec"><div class="ttname"><a href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">armnn::Layer::m_ShapeInferenceMethod</a></div><div class="ttdeci">ShapeInferenceMethod m_ShapeInferenceMethod</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00441">Layer.hpp:441</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">armnn::LayerType</a></div><div class="ttdeci">LayerType</div><div class="ttdoc">When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below.</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00491">Types.hpp:491</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_graph_html"><div class="ttname"><a href="classarmnn_1_1_graph.html">armnn::Graph</a></div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.html#l00030">Graph.hpp:30</a></div></div>
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