IVGCVSW-7968 Update Doxygen docu for 24.02
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I8c1e45815c6cf78f80d6f2c0959a5bbba6cd11de
diff --git a/latest/_elementwise_binary_operator_8hpp.html b/latest/_elementwise_binary_operator_8hpp.html
index a891bed..af930b2 100644
--- a/latest/_elementwise_binary_operator_8hpp.html
+++ b/latest/_elementwise_binary_operator_8hpp.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">
-  <span id="projectnumber">23.11</span>
+  <span id="projectnumber">24.02</span>
</div>
</td>
</tr>
@@ -99,12 +99,10 @@
</div><!--header-->
<div class="contents">
<div class="textblock"><code>#include "<a class="el" href="_tosa_operator_utils_8hpp_source.html">TosaOperatorUtils.hpp</a>"</code><br />
-<code>#include <<a class="el" href="_layer_8hpp_source.html">Layer.hpp</a>></code><br />
-<code>#include <tosa_serialization_handler.h></code><br />
</div><div class="textblock"><div class="dynheader">
Include dependency graph for ElementwiseBinaryOperator.hpp:</div>
<div class="dyncontent">
-<div class="center"><iframe scrolling="no" frameborder="0" src="_elementwise_binary_operator_8hpp__incl.svg" width="4644" height="887"><p><b>This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead.</b></p></iframe>
+<div class="center"><iframe scrolling="no" frameborder="0" src="_elementwise_binary_operator_8hpp__incl.svg" width="4459" height="887"><p><b>This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead.</b></p></iframe>
</div>
</div>
</div><div class="textblock"><div class="dynheader">
@@ -118,12 +116,12 @@
<table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
Functions</h2></td></tr>
-<tr class="memitem:a9b2cb86c35b6f93df14608390a3e70d7"><td class="memItemLeft" align="right" valign="top">TosaSerializationBasicBlock * </td><td class="memItemRight" valign="bottom"><a class="el" href="_elementwise_binary_operator_8hpp.html#a9b2cb86c35b6f93df14608390a3e70d7">ConvertElementwiseBinaryToTosaOperator</a> (const <a class="el" href="classarmnn_1_1_layer.html">Layer</a> *layer, const <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> type, const std::vector< const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> * > &inputs, const std::vector< const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> * > &outputs)</td></tr>
-<tr class="separator:a9b2cb86c35b6f93df14608390a3e70d7"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:a5c5d1f2742225f7dce296b16a9eb5ac1"><td class="memItemLeft" align="right" valign="top">TosaSerializationBasicBlock * </td><td class="memItemRight" valign="bottom"><a class="el" href="_elementwise_binary_operator_8hpp.html#a5c5d1f2742225f7dce296b16a9eb5ac1">ConvertElementwiseBinaryToTosaOperator</a> (const <a class="el" href="classarmnn_1_1_layer.html">Layer</a> *layer, const <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> type, const std::vector< const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> * > &inputs, const std::vector< const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> * > &outputs, const <a class="el" href="structarmnn_1_1_elementwise_binary_descriptor.html">ElementwiseBinaryDescriptor</a> *descriptor=nullptr)</td></tr>
+<tr class="separator:a5c5d1f2742225f7dce296b16a9eb5ac1"><td class="memSeparator" colspan="2"> </td></tr>
</table>
<h2 class="groupheader">Function Documentation</h2>
-<a id="a9b2cb86c35b6f93df14608390a3e70d7"></a>
-<h2 class="memtitle"><span class="permalink"><a href="#a9b2cb86c35b6f93df14608390a3e70d7">◆ </a></span>ConvertElementwiseBinaryToTosaOperator()</h2>
+<a id="a5c5d1f2742225f7dce296b16a9eb5ac1"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a5c5d1f2742225f7dce296b16a9eb5ac1">◆ </a></span>ConvertElementwiseBinaryToTosaOperator()</h2>
<div class="memitem">
<div class="memproto">
@@ -150,7 +148,13 @@
<td class="paramkey"></td>
<td></td>
<td class="paramtype">const std::vector< const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> * > & </td>
- <td class="paramname"><em>outputs</em> </td>
+ <td class="paramname"><em>outputs</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="structarmnn_1_1_elementwise_binary_descriptor.html">ElementwiseBinaryDescriptor</a> * </td>
+ <td class="paramname"><em>descriptor</em> = <code>nullptr</code> </td>
</tr>
<tr>
<td></td>
@@ -161,100 +165,119 @@
</div><div class="memdoc">
<p class="definition">Definition at line <a class="el" href="_elementwise_binary_operator_8cpp_source.html#l00008">8</a> of file <a class="el" href="_elementwise_binary_operator_8cpp_source.html">ElementwiseBinaryOperator.cpp</a>.</p>
-<div class="fragment"><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> {</div>
-<div class="line"><a name="l00013"></a><span class="lineno"> 13</span>  std::string input0Name = std::string(<span class="stringliteral">"input0_"</span>);</div>
-<div class="line"><a name="l00014"></a><span class="lineno"> 14</span>  std::string input1Name = std::string(<span class="stringliteral">"input1_"</span>);</div>
-<div class="line"><a name="l00015"></a><span class="lineno"> 15</span>  std::string outputName = std::string(<span class="stringliteral">"output0_"</span>);</div>
-<div class="line"><a name="l00016"></a><span class="lineno"> 16</span>  std::string blockName;</div>
-<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>  </div>
-<div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  <span class="comment">// If a layer is present then the block will be used for execution, so input and output names need to be determined</span></div>
-<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  <span class="comment">// using the previous and following layers so the graph is connected correctly. For validation this doesn't matter.</span></div>
-<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  <span class="keywordflow">if</span>(layer != <span class="keyword">nullptr</span>)</div>
-<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  {</div>
-<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  <span class="comment">// Get the layers connected to the input slots and determine unique tensor names.</span></div>
-<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  <a class="code" href="classarmnn_1_1_layer.html">Layer</a>& connectedLayer0 = layer-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.html#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.html#a7ddaf04177053a536f0e7be83a642bc6">GetOwningLayer</a>();</div>
-<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  input0Name = <a class="code" href="_tosa_operator_utils_8hpp.html#a1640c964a461e8580837a79829a5c197">GenerateUniqueName</a>(connectedLayer0, 0);</div>
-<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  </div>
-<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  <a class="code" href="classarmnn_1_1_layer.html">Layer</a>& connectedLayer1 = layer-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(1).<a class="code" href="classarmnn_1_1_input_slot.html#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.html#a7ddaf04177053a536f0e7be83a642bc6">GetOwningLayer</a>();</div>
-<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  input1Name = <a class="code" href="_tosa_operator_utils_8hpp.html#a1640c964a461e8580837a79829a5c197">GenerateUniqueName</a>(connectedLayer1, 1);</div>
-<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  </div>
-<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <span class="comment">// Determine unique output tensor name.</span></div>
-<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  outputName = <a class="code" href="_tosa_operator_utils_8hpp.html#a246662c69dac647833be50ba6dcee024">GenerateUniqueOutputName</a>(*layer, 0);</div>
-<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  }</div>
-<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  </div>
-<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  TosaSerializationOperator* op = <span class="keyword">nullptr</span>;</div>
-<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <span class="keywordflow">switch</span>(type)</div>
-<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  {</div>
-<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="keywordflow">case</span> LayerType::Addition:</div>
-<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  {</div>
-<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  op = <span class="keyword">new</span> TosaSerializationOperator(Op_ADD,</div>
-<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  Attribute_NONE,</div>
-<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keyword">nullptr</span>,</div>
-<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  {input0Name, input1Name},</div>
-<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  {outputName});</div>
-<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  blockName = std::string(<span class="stringliteral">"Op_ADD_block_"</span>) + <a class="code" href="_tosa_operator_utils_8hpp.html#aadc5d73bd0cb81999bcfdc62bce020e8">GetUniqueTosaMappingID</a>();</div>
-<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keywordflow">break</span>;</div>
-<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  }</div>
-<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keywordflow">case</span> LayerType::Multiplication:</div>
-<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  {</div>
-<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  int32_t shift = 0;</div>
-<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  TosaMulAttribute mulAttribute(shift);</div>
-<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  op = <span class="keyword">new</span> TosaSerializationOperator(Op_MUL,</div>
-<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  Attribute_MulAttribute,</div>
-<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  &mulAttribute,</div>
-<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  {input0Name, input1Name},</div>
-<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  {outputName});</div>
-<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  blockName = std::string(<span class="stringliteral">"Op_MUL_block_"</span>) + <a class="code" href="_tosa_operator_utils_8hpp.html#aadc5d73bd0cb81999bcfdc62bce020e8">GetUniqueTosaMappingID</a>();</div>
-<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="keywordflow">break</span>;</div>
-<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  }</div>
-<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keywordflow">case</span> LayerType::Subtraction:</div>
-<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  {</div>
-<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  op = <span class="keyword">new</span> TosaSerializationOperator(Op_SUB,</div>
-<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  Attribute_NONE,</div>
-<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keyword">nullptr</span>,</div>
-<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  {input0Name, input1Name},</div>
-<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  {outputName});</div>
-<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  blockName = std::string(<span class="stringliteral">"Op_SUB_block_"</span>) + <a class="code" href="_tosa_operator_utils_8hpp.html#aadc5d73bd0cb81999bcfdc62bce020e8">GetUniqueTosaMappingID</a>();</div>
-<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keywordflow">break</span>;</div>
-<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  }</div>
-<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keywordflow">default</span>:</div>
-<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(<span class="stringliteral">"ConvertElementwiseBinaryToTosaOperator: Unsupported layer type."</span>);</div>
-<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  }</div>
-<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(op != <span class="keyword">nullptr</span>);</div>
-<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  </div>
-<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  std::vector<TosaSerializationTensor*> tensors;</div>
-<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="comment">// Only add input tensors if connected layer is an input layer.</span></div>
-<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="comment">// As intermediate or constant tensors will be created separately.</span></div>
-<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="comment">// There also can't be duplicate tensor.</span></div>
-<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keywordflow">if</span>(input0Name.find(<span class="stringliteral">"input0_"</span>) != std::string::npos)</div>
-<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  {</div>
-<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  std::vector<int32_t> inputShape0 = <a class="code" href="_tosa_operator_utils_8hpp.html#a7d97964a65be4eb4a5b4109904f2e7f7">GetTosaTensorShape</a>(inputs[0]->GetShape());</div>
-<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  DType inputDType0 = <a class="code" href="_tosa_operator_utils_8hpp.html#a45d66f17ad6b0469e469f443b3e03226">ArmNNToDType</a>(inputs[0]->GetDataType());</div>
-<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  tensors.push_back(<span class="keyword">new</span> TosaSerializationTensor(input0Name, inputShape0, inputDType0, {}));</div>
-<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  }</div>
-<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keywordflow">if</span>(input1Name.find(<span class="stringliteral">"input1_"</span>) != std::string::npos)</div>
-<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  {</div>
-<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  std::vector<int32_t> inputShape1 = <a class="code" href="_tosa_operator_utils_8hpp.html#a7d97964a65be4eb4a5b4109904f2e7f7">GetTosaTensorShape</a>(inputs[1]->GetShape());</div>
-<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  DType inputDType1 = <a class="code" href="_tosa_operator_utils_8hpp.html#a45d66f17ad6b0469e469f443b3e03226">ArmNNToDType</a>(inputs[1]->GetDataType());</div>
-<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  tensors.push_back(<span class="keyword">new</span> TosaSerializationTensor(input1Name, inputShape1, inputDType1, {}));</div>
-<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  }</div>
-<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  </div>
-<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  std::vector<int32_t> outputShape0 = <a class="code" href="_tosa_operator_utils_8hpp.html#a7d97964a65be4eb4a5b4109904f2e7f7">GetTosaTensorShape</a>(outputs[0]->GetShape());</div>
-<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  DType outputDType0 = <a class="code" href="_tosa_operator_utils_8hpp.html#a45d66f17ad6b0469e469f443b3e03226">ArmNNToDType</a>(outputs[0]->GetDataType());</div>
+<div class="fragment"><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> {</div>
+<div class="line"><a name="l00014"></a><span class="lineno"> 14</span>  std::string input0Name = std::string(<span class="stringliteral">"input0_"</span>);</div>
+<div class="line"><a name="l00015"></a><span class="lineno"> 15</span>  std::string input1Name = std::string(<span class="stringliteral">"input1_"</span>);</div>
+<div class="line"><a name="l00016"></a><span class="lineno"> 16</span>  std::string outputName = std::string(<span class="stringliteral">"output0_"</span>);</div>
+<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>  std::string blockName;</div>
+<div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  </div>
+<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  <span class="comment">// If a layer is present then the block will be used for execution, so input and output names need to be determined</span></div>
+<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  <span class="comment">// using the previous and following layers so the graph is connected correctly. For validation this doesn't matter.</span></div>
+<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  <span class="keywordflow">if</span>(layer != <span class="keyword">nullptr</span>)</div>
+<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  {</div>
+<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  <span class="comment">// Get the layers connected to the input slots and determine unique tensor names.</span></div>
+<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <a class="code" href="classarmnn_1_1_layer.html">Layer</a>& connectedLayer0 = layer-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.html#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.html#a7ddaf04177053a536f0e7be83a642bc6">GetOwningLayer</a>();</div>
+<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  input0Name = <a class="code" href="_tosa_operator_utils_8hpp.html#a1640c964a461e8580837a79829a5c197">GenerateUniqueName</a>(connectedLayer0, 0);</div>
+<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  </div>
+<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <a class="code" href="classarmnn_1_1_layer.html">Layer</a>& connectedLayer1 = layer-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(1).<a class="code" href="classarmnn_1_1_input_slot.html#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.html#a7ddaf04177053a536f0e7be83a642bc6">GetOwningLayer</a>();</div>
+<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  input1Name = <a class="code" href="_tosa_operator_utils_8hpp.html#a1640c964a461e8580837a79829a5c197">GenerateUniqueName</a>(connectedLayer1, 1);</div>
+<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  </div>
+<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <span class="comment">// Determine unique output tensor name.</span></div>
+<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  outputName = <a class="code" href="_tosa_operator_utils_8hpp.html#a246662c69dac647833be50ba6dcee024">GenerateUniqueOutputName</a>(*layer, 0);</div>
+<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  }</div>
+<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  </div>
+<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  TosaSerializationOperator* op = <span class="keyword">nullptr</span>;</div>
+<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <span class="keywordflow">switch</span>(type)</div>
+<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  {</div>
+<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keywordflow">case</span> LayerType::Addition:</div>
+<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  {</div>
+<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  op = <span class="keyword">new</span> TosaSerializationOperator(Op_ADD,</div>
+<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  Attribute_NONE,</div>
+<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="keyword">nullptr</span>,</div>
+<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  {input0Name, input1Name},</div>
+<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  {outputName});</div>
+<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  blockName = std::string(<span class="stringliteral">"Op_ADD_block_"</span>) + <a class="code" href="_tosa_operator_utils_8hpp.html#aadc5d73bd0cb81999bcfdc62bce020e8">GetUniqueTosaMappingID</a>();</div>
+<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keywordflow">break</span>;</div>
+<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  }</div>
+<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keywordflow">case</span> LayerType::ElementwiseBinary:</div>
+<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  {</div>
+<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keywordflow">switch</span> (descriptor-><a class="code" href="structarmnn_1_1_elementwise_binary_descriptor.html#a7e4ece533ef2cb0f251e11c47a17371c">m_Operation</a>)</div>
+<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  {</div>
+<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a8321e79c278ec510f63675c040594892">armnn::BinaryOperation::Maximum</a>:</div>
+<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  {</div>
+<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  op = <span class="keyword">new</span> TosaSerializationOperator(Op_MAXIMUM,</div>
+<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  Attribute_NONE,</div>
+<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keyword">nullptr</span>,</div>
+<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  {input0Name, input1Name},</div>
+<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  {outputName});</div>
+<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  blockName = std::string(<span class="stringliteral">"Op_MAXIMUM_block_"</span>) + <a class="code" href="_tosa_operator_utils_8hpp.html#aadc5d73bd0cb81999bcfdc62bce020e8">GetUniqueTosaMappingID</a>();</div>
+<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordflow">break</span>;</div>
+<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  }</div>
+<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keywordflow">default</span>:</div>
+<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(<span class="stringliteral">"ConvertElementwiseBinaryToTosaOperator: Unsupported layer type."</span>);</div>
+<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  }</div>
+<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keywordflow">break</span>;</div>
+<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  }</div>
+<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keywordflow">case</span> LayerType::Multiplication:</div>
+<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  {</div>
+<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  int32_t shift = 0;</div>
+<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  TosaMulAttribute mulAttribute(shift);</div>
+<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  op = <span class="keyword">new</span> TosaSerializationOperator(Op_MUL,</div>
+<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  Attribute_MulAttribute,</div>
+<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  &mulAttribute,</div>
+<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  {input0Name, input1Name},</div>
+<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  {outputName});</div>
+<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  blockName = std::string(<span class="stringliteral">"Op_MUL_block_"</span>) + <a class="code" href="_tosa_operator_utils_8hpp.html#aadc5d73bd0cb81999bcfdc62bce020e8">GetUniqueTosaMappingID</a>();</div>
+<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keywordflow">break</span>;</div>
+<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  }</div>
+<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keywordflow">case</span> LayerType::Subtraction:</div>
+<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  {</div>
+<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  op = <span class="keyword">new</span> TosaSerializationOperator(Op_SUB,</div>
+<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  Attribute_NONE,</div>
+<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keyword">nullptr</span>,</div>
+<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  {input0Name, input1Name},</div>
+<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  {outputName});</div>
+<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  blockName = std::string(<span class="stringliteral">"Op_SUB_block_"</span>) + <a class="code" href="_tosa_operator_utils_8hpp.html#aadc5d73bd0cb81999bcfdc62bce020e8">GetUniqueTosaMappingID</a>();</div>
+<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keywordflow">break</span>;</div>
+<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  }</div>
+<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keywordflow">default</span>:</div>
+<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(<span class="stringliteral">"ConvertElementwiseBinaryToTosaOperator: Unsupported layer type."</span>);</div>
+<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  }</div>
+<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(op != <span class="keyword">nullptr</span>);</div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  </div>
-<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  tensors.push_back(<span class="keyword">new</span> TosaSerializationTensor(outputName, outputShape0, outputDType0, {}));</div>
-<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  </div>
-<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="comment">// operatorInputNames/operatorOutputNames ends up being the same as</span></div>
-<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="comment">// blockInputNames/blockOutputNames for one-to-one ArmNN to Tosa mappings</span></div>
-<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keywordflow">return</span> <span class="keyword">new</span> TosaSerializationBasicBlock(blockName, <span class="comment">// name</span></div>
-<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <a class="code" href="_tosa_operator_utils_8hpp.html#a28514b014a4fe0841044f1868064bc65">mainName</a>, <span class="comment">// region name</span></div>
-<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  {op}, <span class="comment">// operators</span></div>
-<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  tensors, <span class="comment">// tensors</span></div>
-<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  {input0Name, input1Name}, <span class="comment">// inputs</span></div>
-<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  {outputName}); <span class="comment">// outputs</span></div>
-<div class="line"><a name="l00103"></a><span class="lineno"> 103</span> }</div>
+<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  std::vector<TosaSerializationTensor*> tensors;</div>
+<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="comment">// Only add input tensors if connected layer is an input layer.</span></div>
+<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="comment">// As intermediate or constant tensors will be created separately.</span></div>
+<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="comment">// There also can't be duplicate tensor.</span></div>
+<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keywordflow">if</span>(input0Name.find(<span class="stringliteral">"input0_"</span>) != std::string::npos)</div>
+<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  {</div>
+<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  std::vector<int32_t> inputShape0 = <a class="code" href="_tosa_operator_utils_8hpp.html#a7d97964a65be4eb4a5b4109904f2e7f7">GetTosaTensorShape</a>(inputs[0]->GetShape());</div>
+<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  DType inputDType0 = <a class="code" href="_tosa_operator_utils_8hpp.html#a45d66f17ad6b0469e469f443b3e03226">ArmNNToDType</a>(inputs[0]->GetDataType());</div>
+<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  tensors.push_back(<span class="keyword">new</span> TosaSerializationTensor(input0Name, inputShape0, inputDType0, {}));</div>
+<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  }</div>
+<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keywordflow">if</span>(input1Name.find(<span class="stringliteral">"input1_"</span>) != std::string::npos)</div>
+<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  {</div>
+<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  std::vector<int32_t> inputShape1 = <a class="code" href="_tosa_operator_utils_8hpp.html#a7d97964a65be4eb4a5b4109904f2e7f7">GetTosaTensorShape</a>(inputs[1]->GetShape());</div>
+<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  DType inputDType1 = <a class="code" href="_tosa_operator_utils_8hpp.html#a45d66f17ad6b0469e469f443b3e03226">ArmNNToDType</a>(inputs[1]->GetDataType());</div>
+<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  tensors.push_back(<span class="keyword">new</span> TosaSerializationTensor(input1Name, inputShape1, inputDType1, {}));</div>
+<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  }</div>
+<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  </div>
+<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  std::vector<int32_t> outputShape0 = <a class="code" href="_tosa_operator_utils_8hpp.html#a7d97964a65be4eb4a5b4109904f2e7f7">GetTosaTensorShape</a>(outputs[0]->GetShape());</div>
+<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  DType outputDType0 = <a class="code" href="_tosa_operator_utils_8hpp.html#a45d66f17ad6b0469e469f443b3e03226">ArmNNToDType</a>(outputs[0]->GetDataType());</div>
+<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  </div>
+<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  tensors.push_back(<span class="keyword">new</span> TosaSerializationTensor(outputName, outputShape0, outputDType0, {}));</div>
+<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  </div>
+<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="comment">// operatorInputNames/operatorOutputNames ends up being the same as</span></div>
+<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="comment">// blockInputNames/blockOutputNames for one-to-one ArmNN to Tosa mappings</span></div>
+<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keywordflow">return</span> <span class="keyword">new</span> TosaSerializationBasicBlock(blockName, <span class="comment">// name</span></div>
+<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <a class="code" href="_tosa_operator_utils_8hpp.html#a28514b014a4fe0841044f1868064bc65">mainName</a>, <span class="comment">// region name</span></div>
+<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  {op}, <span class="comment">// operators</span></div>
+<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  tensors, <span class="comment">// tensors</span></div>
+<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  {input0Name, input1Name}, <span class="comment">// inputs</span></div>
+<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  {outputName}); <span class="comment">// outputs</span></div>
+<div class="line"><a name="l00123"></a><span class="lineno"> 123</span> }</div>
</div><!-- fragment -->
-<p class="reference">References <a class="el" href="_assert_8hpp_source.html#l00014">ARMNN_ASSERT</a>, <a class="el" href="_tosa_operator_utils_8hpp_source.html#l00063">GenerateUniqueName()</a>, <a class="el" href="_tosa_operator_utils_8hpp_source.html#l00082">GenerateUniqueOutputName()</a>, <a class="el" href="_layer_8hpp_source.html#l00056">InputSlot::GetConnectedOutputSlot()</a>, <a class="el" href="_layer_8hpp_source.html#l00337">Layer::GetInputSlot()</a>, <a class="el" href="_layer_8hpp_source.html#l00132">OutputSlot::GetOwningLayer()</a>, <a class="el" href="_tosa_operator_utils_8hpp_source.html#l00052">GetTosaTensorShape()</a>, and <a class="el" href="_tosa_operator_utils_8hpp_source.html#l00100">GetUniqueTosaMappingID()</a>.</p>
+<p class="reference">References <a class="el" href="_assert_8hpp_source.html#l00014">ARMNN_ASSERT</a>, <a class="el" href="_tosa_operator_utils_8hpp_source.html#l00063">GenerateUniqueName()</a>, <a class="el" href="_tosa_operator_utils_8hpp_source.html#l00082">GenerateUniqueOutputName()</a>, <a class="el" href="_layer_8hpp_source.html#l00056">InputSlot::GetConnectedOutputSlot()</a>, <a class="el" href="_layer_8hpp_source.html#l00337">Layer::GetInputSlot()</a>, <a class="el" href="_layer_8hpp_source.html#l00132">OutputSlot::GetOwningLayer()</a>, <a class="el" href="_tosa_operator_utils_8hpp_source.html#l00052">GetTosaTensorShape()</a>, <a class="el" href="_tosa_operator_utils_8hpp_source.html#l00100">GetUniqueTosaMappingID()</a>, <a class="el" href="_descriptors_8hpp_source.html#l00125">ElementwiseBinaryDescriptor::m_Operation</a>, and <a class="el" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a8321e79c278ec510f63675c040594892">armnn::Maximum</a>.</p>
<p class="reference">Referenced by <a class="el" href="_tosa_mappings_8cpp_source.html#l00018">GetTosaMapping()</a>.</p>
@@ -266,19 +289,21 @@
<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 & 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_html"><div class="ttname"><a href="classarmnn_1_1_layer.html">armnn::Layer</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00230">Layer.hpp:230</a></div></div>
<div class="ttc" id="a_tosa_operator_utils_8hpp_html_a28514b014a4fe0841044f1868064bc65"><div class="ttname"><a href="_tosa_operator_utils_8hpp.html#a28514b014a4fe0841044f1868064bc65">mainName</a></div><div class="ttdeci">const std::string mainName</div><div class="ttdef"><b>Definition:</b> <a href="_tosa_operator_utils_8hpp_source.html#l00019">TosaOperatorUtils.hpp:19</a></div></div>
+<div class="ttc" id="anamespacearmnn_html_ac4f8557279754ed7b3f749d55b0e3047a8321e79c278ec510f63675c040594892"><div class="ttname"><a href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a8321e79c278ec510f63675c040594892">armnn::BinaryOperation::Maximum</a></div><div class="ttdeci">@ Maximum</div></div>
<div class="ttc" id="aclassarmnn_1_1_output_slot_html_a7ddaf04177053a536f0e7be83a642bc6"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#a7ddaf04177053a536f0e7be83a642bc6">armnn::OutputSlot::GetOwningLayer</a></div><div class="ttdeci">Layer & GetOwningLayer() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00132">Layer.hpp:132</a></div></div>
<div class="ttc" id="a_tosa_operator_utils_8hpp_html_a45d66f17ad6b0469e469f443b3e03226"><div class="ttname"><a href="_tosa_operator_utils_8hpp.html#a45d66f17ad6b0469e469f443b3e03226">ArmNNToDType</a></div><div class="ttdeci">DType ArmNNToDType(const DataType &type)</div><div class="ttdef"><b>Definition:</b> <a href="_tosa_operator_utils_8hpp_source.html#l00022">TosaOperatorUtils.hpp:22</a></div></div>
<div class="ttc" id="a_tosa_operator_utils_8hpp_html_a246662c69dac647833be50ba6dcee024"><div class="ttname"><a href="_tosa_operator_utils_8hpp.html#a246662c69dac647833be50ba6dcee024">GenerateUniqueOutputName</a></div><div class="ttdeci">std::string GenerateUniqueOutputName(const Layer &layer, uint32_t layerSlot)</div><div class="ttdef"><b>Definition:</b> <a href="_tosa_operator_utils_8hpp_source.html#l00082">TosaOperatorUtils.hpp:82</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="a_tosa_operator_utils_8hpp_html_a1640c964a461e8580837a79829a5c197"><div class="ttname"><a href="_tosa_operator_utils_8hpp.html#a1640c964a461e8580837a79829a5c197">GenerateUniqueName</a></div><div class="ttdeci">std::string GenerateUniqueName(const Layer &layer, uint32_t layerSlot)</div><div class="ttdef"><b>Definition:</b> <a href="_tosa_operator_utils_8hpp_source.html#l00063">TosaOperatorUtils.hpp:63</a></div></div>
<div class="ttc" id="a_tosa_operator_utils_8hpp_html_a7d97964a65be4eb4a5b4109904f2e7f7"><div class="ttname"><a href="_tosa_operator_utils_8hpp.html#a7d97964a65be4eb4a5b4109904f2e7f7">GetTosaTensorShape</a></div><div class="ttdeci">std::vector< int32_t > GetTosaTensorShape(const TensorShape &shape)</div><div class="ttdef"><b>Definition:</b> <a href="_tosa_operator_utils_8hpp_source.html#l00052">TosaOperatorUtils.hpp:52</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_elementwise_binary_descriptor_html_a7e4ece533ef2cb0f251e11c47a17371c"><div class="ttname"><a href="structarmnn_1_1_elementwise_binary_descriptor.html#a7e4ece533ef2cb0f251e11c47a17371c">armnn::ElementwiseBinaryDescriptor::m_Operation</a></div><div class="ttdeci">BinaryOperation m_Operation</div><div class="ttdoc">Specifies the elementwiseBinary operation to execute.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00125">Descriptors.hpp:125</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_input_slot_html_a9effd325a6d512a3f8ff4bd207d53255"><div class="ttname"><a href="classarmnn_1_1_input_slot.html#a9effd325a6d512a3f8ff4bd207d53255">armnn::InputSlot::GetConnectedOutputSlot</a></div><div class="ttdeci">const OutputSlot * GetConnectedOutputSlot() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00056">Layer.hpp:56</a></div></div>
<div class="ttc" id="a_tosa_operator_utils_8hpp_html_aadc5d73bd0cb81999bcfdc62bce020e8"><div class="ttname"><a href="_tosa_operator_utils_8hpp.html#aadc5d73bd0cb81999bcfdc62bce020e8">GetUniqueTosaMappingID</a></div><div class="ttdeci">std::string GetUniqueTosaMappingID()</div><div class="ttdef"><b>Definition:</b> <a href="_tosa_operator_utils_8hpp_source.html#l00100">TosaOperatorUtils.hpp:100</a></div></div>
<!-- start footer part -->
<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
<ul>
<li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.html">src</a></li><li class="navelem"><a class="el" href="dir_0f3cdec46afbc61a1ded8e1687c9c9a0.html">backends</a></li><li class="navelem"><a class="el" href="dir_3eeadfb79f8e6e284b92aba47a7684a1.html">tosaCommon</a></li><li class="navelem"><a class="el" href="dir_44a5c203710327e1068d2575c20cb7c6.html">operatorMappings</a></li><li class="navelem"><a class="el" href="_elementwise_binary_operator_8hpp.html">ElementwiseBinaryOperator.hpp</a></li>
- <li class="footer">Generated on Wed Nov 22 2023 10:57:11 for Arm NN by
+ <li class="footer">Generated on Wed Feb 14 2024 16:36:20 for Arm NN by
<a href="http://www.doxygen.org/index.html">
<img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.17 </li>
</ul>