IVGCVSW-8260 Update Doxgen Docu for 24.05
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: If4bc983bf2793a27ded8e26ac2b29523fc1e4711
diff --git a/latest/structarmnn_1_1_slice_queue_descriptor.html b/latest/structarmnn_1_1_slice_queue_descriptor.html
index 5f02ba2..728c9d3 100644
--- a/latest/structarmnn_1_1_slice_queue_descriptor.html
+++ b/latest/structarmnn_1_1_slice_queue_descriptor.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">24.02</span>
+  <span id="projectnumber">24.05</span>
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@@ -183,62 +183,62 @@
</table>
</div><div class="memdoc">
-<p class="definition">Definition at line <a class="el" href="_workload_data_8cpp_source.html#l03630">3630</a> of file <a class="el" href="_workload_data_8cpp_source.html">WorkloadData.cpp</a>.</p>
-<div class="fragment"><div class="line"><a name="l03631"></a><span class="lineno"> 3631</span> {</div>
-<div class="line"><a name="l03632"></a><span class="lineno"> 3632</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"SliceQueueDescriptor"</span>};</div>
-<div class="line"><a name="l03633"></a><span class="lineno"> 3633</span>  </div>
-<div class="line"><a name="l03634"></a><span class="lineno"> 3634</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div>
-<div class="line"><a name="l03635"></a><span class="lineno"> 3635</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div>
-<div class="line"><a name="l03636"></a><span class="lineno"> 3636</span>  </div>
-<div class="line"><a name="l03637"></a><span class="lineno"> 3637</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div>
-<div class="line"><a name="l03638"></a><span class="lineno"> 3638</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div>
-<div class="line"><a name="l03639"></a><span class="lineno"> 3639</span>  </div>
-<div class="line"><a name="l03640"></a><span class="lineno"> 3640</span>  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div>
+<p class="definition">Definition at line <a class="el" href="_workload_data_8cpp_source.html#l03632">3632</a> of file <a class="el" href="_workload_data_8cpp_source.html">WorkloadData.cpp</a>.</p>
+<div class="fragment"><div class="line"><a name="l03633"></a><span class="lineno"> 3633</span> {</div>
+<div class="line"><a name="l03634"></a><span class="lineno"> 3634</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"SliceQueueDescriptor"</span>};</div>
+<div class="line"><a name="l03635"></a><span class="lineno"> 3635</span>  </div>
+<div class="line"><a name="l03636"></a><span class="lineno"> 3636</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div>
+<div class="line"><a name="l03637"></a><span class="lineno"> 3637</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div>
+<div class="line"><a name="l03638"></a><span class="lineno"> 3638</span>  </div>
+<div class="line"><a name="l03639"></a><span class="lineno"> 3639</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div>
+<div class="line"><a name="l03640"></a><span class="lineno"> 3640</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div>
<div class="line"><a name="l03641"></a><span class="lineno"> 3641</span>  </div>
-<div class="line"><a name="l03642"></a><span class="lineno"> 3642</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> rank = inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div>
-<div class="line"><a name="l03643"></a><span class="lineno"> 3643</span>  <span class="keywordflow">if</span> (rank > 4)</div>
-<div class="line"><a name="l03644"></a><span class="lineno"> 3644</span>  {</div>
-<div class="line"><a name="l03645"></a><span class="lineno"> 3645</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Input tensors with rank greater than 4 are not supported."</span>);</div>
-<div class="line"><a name="l03646"></a><span class="lineno"> 3646</span>  }</div>
-<div class="line"><a name="l03647"></a><span class="lineno"> 3647</span>  </div>
-<div class="line"><a name="l03648"></a><span class="lineno"> 3648</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(outputTensorInfo, descriptorName, rank, <span class="stringliteral">"output"</span>);</div>
+<div class="line"><a name="l03642"></a><span class="lineno"> 3642</span>  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div>
+<div class="line"><a name="l03643"></a><span class="lineno"> 3643</span>  </div>
+<div class="line"><a name="l03644"></a><span class="lineno"> 3644</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> rank = inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div>
+<div class="line"><a name="l03645"></a><span class="lineno"> 3645</span>  <span class="keywordflow">if</span> (rank > 4)</div>
+<div class="line"><a name="l03646"></a><span class="lineno"> 3646</span>  {</div>
+<div class="line"><a name="l03647"></a><span class="lineno"> 3647</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Input tensors with rank greater than 4 are not supported."</span>);</div>
+<div class="line"><a name="l03648"></a><span class="lineno"> 3648</span>  }</div>
<div class="line"><a name="l03649"></a><span class="lineno"> 3649</span>  </div>
-<div class="line"><a name="l03650"></a><span class="lineno"> 3650</span>  <span class="comment">// Check if m_Begin and m_Size have the expected length</span></div>
-<div class="line"><a name="l03651"></a><span class="lineno"> 3651</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_slice_descriptor.html#a4939f00778f08d6c6fec6f74c0a59b7e">m_Begin</a>.size() != rank)</div>
-<div class="line"><a name="l03652"></a><span class="lineno"> 3652</span>  {</div>
-<div class="line"><a name="l03653"></a><span class="lineno"> 3653</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName +</div>
-<div class="line"><a name="l03654"></a><span class="lineno"> 3654</span>  <span class="stringliteral">": Length of begin offset descriptor must equal rank "</span> + std::to_string(rank));</div>
-<div class="line"><a name="l03655"></a><span class="lineno"> 3655</span>  }</div>
-<div class="line"><a name="l03656"></a><span class="lineno"> 3656</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_slice_descriptor.html#ab52cabf19232290fa6b49828ba957ac0">m_Size</a>.size() != rank)</div>
-<div class="line"><a name="l03657"></a><span class="lineno"> 3657</span>  {</div>
-<div class="line"><a name="l03658"></a><span class="lineno"> 3658</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName +</div>
-<div class="line"><a name="l03659"></a><span class="lineno"> 3659</span>  <span class="stringliteral">": Length of size descriptor must equal rank "</span> + std::to_string(rank));</div>
-<div class="line"><a name="l03660"></a><span class="lineno"> 3660</span>  }</div>
-<div class="line"><a name="l03661"></a><span class="lineno"> 3661</span>  </div>
-<div class="line"><a name="l03662"></a><span class="lineno"> 3662</span>  <span class="comment">// Check if the shape of the output tensor matches m_Size</span></div>
-<div class="line"><a name="l03663"></a><span class="lineno"> 3663</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>& outputShape = outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div>
-<div class="line"><a name="l03664"></a><span class="lineno"> 3664</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0u; i < rank; ++i)</div>
-<div class="line"><a name="l03665"></a><span class="lineno"> 3665</span>  {</div>
-<div class="line"><a name="l03666"></a><span class="lineno"> 3666</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_slice_descriptor.html#ab52cabf19232290fa6b49828ba957ac0">m_Size</a>[i] != outputShape[i])</div>
-<div class="line"><a name="l03667"></a><span class="lineno"> 3667</span>  {</div>
-<div class="line"><a name="l03668"></a><span class="lineno"> 3668</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Size descriptor does not match output tensor."</span>);</div>
-<div class="line"><a name="l03669"></a><span class="lineno"> 3669</span>  }</div>
-<div class="line"><a name="l03670"></a><span class="lineno"> 3670</span>  }</div>
-<div class="line"><a name="l03671"></a><span class="lineno"> 3671</span>  </div>
-<div class="line"><a name="l03672"></a><span class="lineno"> 3672</span>  <span class="comment">// Check if the sum of begin offset and size in a given dimension</span></div>
-<div class="line"><a name="l03673"></a><span class="lineno"> 3673</span>  <span class="comment">// does not exceed the size of corresponding input</span></div>
-<div class="line"><a name="l03674"></a><span class="lineno"> 3674</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>& inputShape = inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div>
-<div class="line"><a name="l03675"></a><span class="lineno"> 3675</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0u; i < rank; ++i)</div>
-<div class="line"><a name="l03676"></a><span class="lineno"> 3676</span>  {</div>
-<div class="line"><a name="l03677"></a><span class="lineno"> 3677</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_slice_descriptor.html#a4939f00778f08d6c6fec6f74c0a59b7e">m_Begin</a>[i] + <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_slice_descriptor.html#ab52cabf19232290fa6b49828ba957ac0">m_Size</a>[i] > inputShape[i])</div>
-<div class="line"><a name="l03678"></a><span class="lineno"> 3678</span>  {</div>
-<div class="line"><a name="l03679"></a><span class="lineno"> 3679</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Sum of begin offset and size for dimension "</span> +</div>
-<div class="line"><a name="l03680"></a><span class="lineno"> 3680</span>  std::to_string(i) + <span class="stringliteral">" exceeds input size."</span>);</div>
-<div class="line"><a name="l03681"></a><span class="lineno"> 3681</span>  }</div>
-<div class="line"><a name="l03682"></a><span class="lineno"> 3682</span>  }</div>
-<div class="line"><a name="l03683"></a><span class="lineno"> 3683</span> }</div>
+<div class="line"><a name="l03650"></a><span class="lineno"> 3650</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(outputTensorInfo, descriptorName, rank, <span class="stringliteral">"output"</span>);</div>
+<div class="line"><a name="l03651"></a><span class="lineno"> 3651</span>  </div>
+<div class="line"><a name="l03652"></a><span class="lineno"> 3652</span>  <span class="comment">// Check if m_Begin and m_Size have the expected length</span></div>
+<div class="line"><a name="l03653"></a><span class="lineno"> 3653</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_slice_descriptor.html#a4939f00778f08d6c6fec6f74c0a59b7e">m_Begin</a>.size() != rank)</div>
+<div class="line"><a name="l03654"></a><span class="lineno"> 3654</span>  {</div>
+<div class="line"><a name="l03655"></a><span class="lineno"> 3655</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName +</div>
+<div class="line"><a name="l03656"></a><span class="lineno"> 3656</span>  <span class="stringliteral">": Length of begin offset descriptor must equal rank "</span> + std::to_string(rank));</div>
+<div class="line"><a name="l03657"></a><span class="lineno"> 3657</span>  }</div>
+<div class="line"><a name="l03658"></a><span class="lineno"> 3658</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_slice_descriptor.html#ab52cabf19232290fa6b49828ba957ac0">m_Size</a>.size() != rank)</div>
+<div class="line"><a name="l03659"></a><span class="lineno"> 3659</span>  {</div>
+<div class="line"><a name="l03660"></a><span class="lineno"> 3660</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName +</div>
+<div class="line"><a name="l03661"></a><span class="lineno"> 3661</span>  <span class="stringliteral">": Length of size descriptor must equal rank "</span> + std::to_string(rank));</div>
+<div class="line"><a name="l03662"></a><span class="lineno"> 3662</span>  }</div>
+<div class="line"><a name="l03663"></a><span class="lineno"> 3663</span>  </div>
+<div class="line"><a name="l03664"></a><span class="lineno"> 3664</span>  <span class="comment">// Check if the shape of the output tensor matches m_Size</span></div>
+<div class="line"><a name="l03665"></a><span class="lineno"> 3665</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>& outputShape = outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div>
+<div class="line"><a name="l03666"></a><span class="lineno"> 3666</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0u; i < rank; ++i)</div>
+<div class="line"><a name="l03667"></a><span class="lineno"> 3667</span>  {</div>
+<div class="line"><a name="l03668"></a><span class="lineno"> 3668</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_slice_descriptor.html#ab52cabf19232290fa6b49828ba957ac0">m_Size</a>[i] != outputShape[i])</div>
+<div class="line"><a name="l03669"></a><span class="lineno"> 3669</span>  {</div>
+<div class="line"><a name="l03670"></a><span class="lineno"> 3670</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Size descriptor does not match output tensor."</span>);</div>
+<div class="line"><a name="l03671"></a><span class="lineno"> 3671</span>  }</div>
+<div class="line"><a name="l03672"></a><span class="lineno"> 3672</span>  }</div>
+<div class="line"><a name="l03673"></a><span class="lineno"> 3673</span>  </div>
+<div class="line"><a name="l03674"></a><span class="lineno"> 3674</span>  <span class="comment">// Check if the sum of begin offset and size in a given dimension</span></div>
+<div class="line"><a name="l03675"></a><span class="lineno"> 3675</span>  <span class="comment">// does not exceed the size of corresponding input</span></div>
+<div class="line"><a name="l03676"></a><span class="lineno"> 3676</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>& inputShape = inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div>
+<div class="line"><a name="l03677"></a><span class="lineno"> 3677</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0u; i < rank; ++i)</div>
+<div class="line"><a name="l03678"></a><span class="lineno"> 3678</span>  {</div>
+<div class="line"><a name="l03679"></a><span class="lineno"> 3679</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_slice_descriptor.html#a4939f00778f08d6c6fec6f74c0a59b7e">m_Begin</a>[i] + <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_slice_descriptor.html#ab52cabf19232290fa6b49828ba957ac0">m_Size</a>[i] > inputShape[i])</div>
+<div class="line"><a name="l03680"></a><span class="lineno"> 3680</span>  {</div>
+<div class="line"><a name="l03681"></a><span class="lineno"> 3681</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Sum of begin offset and size for dimension "</span> +</div>
+<div class="line"><a name="l03682"></a><span class="lineno"> 3682</span>  std::to_string(i) + <span class="stringliteral">" exceeds input size."</span>);</div>
+<div class="line"><a name="l03683"></a><span class="lineno"> 3683</span>  }</div>
+<div class="line"><a name="l03684"></a><span class="lineno"> 3684</span>  }</div>
+<div class="line"><a name="l03685"></a><span class="lineno"> 3685</span> }</div>
</div><!-- fragment -->
-<p class="reference">References <a class="el" href="_tensor_8hpp_source.html#l00197">TensorInfo::GetNumDimensions()</a>, <a class="el" href="_tensor_8hpp_source.html#l00193">TensorInfo::GetShape()</a>, <a class="el" href="_descriptors_8hpp_source.html#l01244">SliceDescriptor::m_Begin</a>, <a class="el" href="_workload_info_8hpp_source.html#l00018">WorkloadInfo::m_InputTensorInfos</a>, <a class="el" href="_workload_info_8hpp_source.html#l00019">WorkloadInfo::m_OutputTensorInfos</a>, <a class="el" href="_workload_data_8hpp_source.html#l00066">QueueDescriptorWithParameters< SliceDescriptor >::m_Parameters</a>, <a class="el" href="_descriptors_8hpp_source.html#l01247">SliceDescriptor::m_Size</a>, and <a class="el" href="_workload_data_8cpp_source.html#l00397">QueueDescriptor::ValidateTensorNumDimensions()</a>.</p>
+<p class="reference">References <a class="el" href="_tensor_8hpp_source.html#l00197">TensorInfo::GetNumDimensions()</a>, <a class="el" href="_tensor_8hpp_source.html#l00193">TensorInfo::GetShape()</a>, <a class="el" href="_descriptors_8hpp_source.html#l01244">SliceDescriptor::m_Begin</a>, <a class="el" href="_workload_info_8hpp_source.html#l00018">WorkloadInfo::m_InputTensorInfos</a>, <a class="el" href="_workload_info_8hpp_source.html#l00019">WorkloadInfo::m_OutputTensorInfos</a>, <a class="el" href="_workload_data_8hpp_source.html#l00066">QueueDescriptorWithParameters< SliceDescriptor >::m_Parameters</a>, <a class="el" href="_descriptors_8hpp_source.html#l01247">SliceDescriptor::m_Size</a>, and <a class="el" href="_workload_data_8cpp_source.html#l00398">QueueDescriptor::ValidateTensorNumDimensions()</a>.</p>
</div>
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@@ -257,13 +257,13 @@
<div class="ttc" id="aclassarmnn_1_1_invalid_argument_exception_html"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.html">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00080">Exceptions.hpp:80</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 & 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="astructarmnn_1_1_workload_info_html_ac97905bfa0daab357b91df1347600309"><div class="ttname"><a href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">armnn::WorkloadInfo::m_InputTensorInfos</a></div><div class="ttdeci">std::vector< TensorInfo > m_InputTensorInfos</div><div class="ttdef"><b>Definition:</b> <a href="_workload_info_8hpp_source.html#l00018">WorkloadInfo.hpp:18</a></div></div>
-<div class="ttc" id="astructarmnn_1_1_queue_descriptor_html_a089f647d882d65f657d7984e5f505f7c"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">armnn::QueueDescriptor::ValidateTensorNumDimensions</a></div><div class="ttdeci">void ValidateTensorNumDimensions(const TensorInfo &tensor, std::string const &descName, unsigned int numDimensions, std::string const &tensorName) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l00397">WorkloadData.cpp:397</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_queue_descriptor_html_a089f647d882d65f657d7984e5f505f7c"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">armnn::QueueDescriptor::ValidateTensorNumDimensions</a></div><div class="ttdeci">void ValidateTensorNumDimensions(const TensorInfo &tensor, std::string const &descName, unsigned int numDimensions, std::string const &tensorName) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l00398">WorkloadData.cpp:398</a></div></div>
<div class="ttc" id="astructarmnn_1_1_slice_descriptor_html_ab52cabf19232290fa6b49828ba957ac0"><div class="ttname"><a href="structarmnn_1_1_slice_descriptor.html#ab52cabf19232290fa6b49828ba957ac0">armnn::SliceDescriptor::m_Size</a></div><div class="ttdeci">std::vector< unsigned int > m_Size</div><div class="ttdoc">Size of the slice in each dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01247">Descriptors.hpp:1247</a></div></div>
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