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| author | Nikhil Raj <nikhil.raj@arm.com> | 2024-02-15 15:02:19 +0000 |
|---|---|---|
| committer | Nikhil Raj <nikhil.raj@arm.com> | 2024-02-15 15:02:19 +0000 |
| commit | 38b600d8abb2c5f7a44511b5deddf441f975d51d (patch) | |
| tree | 32a082a9e39f3af53d8678a5c18dee67a7f572ec /latest/structarmnn_1_1_l2_normalization_queue_descriptor.html | |
| parent | 6f92c8e9f8bb38dcf5dccf8deeff5112ecd8e37c (diff) | |
| download | armnn-38b600d8abb2c5f7a44511b5deddf441f975d51d.tar.gz | |
IVGCVSW-7968 Update Doxygen docu for 24.02
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I8c1e45815c6cf78f80d6f2c0959a5bbba6cd11de
Diffstat (limited to 'latest/structarmnn_1_1_l2_normalization_queue_descriptor.html')
| -rw-r--r-- | latest/structarmnn_1_1_l2_normalization_queue_descriptor.html | 70 |
1 files changed, 35 insertions, 35 deletions
diff --git a/latest/structarmnn_1_1_l2_normalization_queue_descriptor.html b/latest/structarmnn_1_1_l2_normalization_queue_descriptor.html index 159c044a2b..82dbfec19a 100644 --- a/latest/structarmnn_1_1_l2_normalization_queue_descriptor.html +++ b/latest/structarmnn_1_1_l2_normalization_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">23.11</span> +  <span id="projectnumber">24.02</span> </div> </td> </tr> @@ -183,39 +183,39 @@ Additional Inherited Members</h2></td></tr> </table> </div><div class="memdoc"> -<p class="definition">Definition at line <a class="el" href="_workload_data_8cpp_source.html#l01732">1732</a> of file <a class="el" href="_workload_data_8cpp_source.html">WorkloadData.cpp</a>.</p> -<div class="fragment"><div class="line"><a name="l01733"></a><span class="lineno"> 1733</span> {</div> -<div class="line"><a name="l01734"></a><span class="lineno"> 1734</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"L2NormalizationQueueDescriptor"</span>};</div> -<div class="line"><a name="l01735"></a><span class="lineno"> 1735</span>  </div> -<div class="line"><a name="l01736"></a><span class="lineno"> 1736</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> -<div class="line"><a name="l01737"></a><span class="lineno"> 1737</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> -<div class="line"><a name="l01738"></a><span class="lineno"> 1738</span>  </div> -<div class="line"><a name="l01739"></a><span class="lineno"> 1739</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="l01740"></a><span class="lineno"> 1740</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="l01741"></a><span class="lineno"> 1741</span>  </div> -<div class="line"><a name="l01742"></a><span class="lineno"> 1742</span>  <span class="keywordflow">if</span> (inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() > 4)</div> -<div class="line"><a name="l01743"></a><span class="lineno"> 1743</span>  {</div> -<div class="line"><a name="l01744"></a><span class="lineno"> 1744</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="l01745"></a><span class="lineno"> 1745</span>  }</div> -<div class="line"><a name="l01746"></a><span class="lineno"> 1746</span>  </div> -<div class="line"><a name="l01747"></a><span class="lineno"> 1747</span>  ValidateTensorShapesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> -<div class="line"><a name="l01748"></a><span class="lineno"> 1748</span>  </div> -<div class="line"><a name="l01749"></a><span class="lineno"> 1749</span>  <span class="comment">// Check the supported data types</span></div> -<div class="line"><a name="l01750"></a><span class="lineno"> 1750</span>  std::vector<DataType> supportedTypes =</div> -<div class="line"><a name="l01751"></a><span class="lineno"> 1751</span>  {</div> -<div class="line"><a name="l01752"></a><span class="lineno"> 1752</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> -<div class="line"><a name="l01753"></a><span class="lineno"> 1753</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> -<div class="line"><a name="l01754"></a><span class="lineno"> 1754</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> -<div class="line"><a name="l01755"></a><span class="lineno"> 1755</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> -<div class="line"><a name="l01756"></a><span class="lineno"> 1756</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> -<div class="line"><a name="l01757"></a><span class="lineno"> 1757</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> -<div class="line"><a name="l01758"></a><span class="lineno"> 1758</span>  };</div> -<div class="line"><a name="l01759"></a><span class="lineno"> 1759</span>  </div> -<div class="line"><a name="l01760"></a><span class="lineno"> 1760</span>  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);</div> -<div class="line"><a name="l01761"></a><span class="lineno"> 1761</span>  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> -<div class="line"><a name="l01762"></a><span class="lineno"> 1762</span> }</div> +<p class="definition">Definition at line <a class="el" href="_workload_data_8cpp_source.html#l01733">1733</a> of file <a class="el" href="_workload_data_8cpp_source.html">WorkloadData.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l01734"></a><span class="lineno"> 1734</span> {</div> +<div class="line"><a name="l01735"></a><span class="lineno"> 1735</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"L2NormalizationQueueDescriptor"</span>};</div> +<div class="line"><a name="l01736"></a><span class="lineno"> 1736</span>  </div> +<div class="line"><a name="l01737"></a><span class="lineno"> 1737</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> +<div class="line"><a name="l01738"></a><span class="lineno"> 1738</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> +<div class="line"><a name="l01739"></a><span class="lineno"> 1739</span>  </div> +<div class="line"><a name="l01740"></a><span class="lineno"> 1740</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="l01741"></a><span class="lineno"> 1741</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="l01742"></a><span class="lineno"> 1742</span>  </div> +<div class="line"><a name="l01743"></a><span class="lineno"> 1743</span>  <span class="keywordflow">if</span> (inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() > 4)</div> +<div class="line"><a name="l01744"></a><span class="lineno"> 1744</span>  {</div> +<div class="line"><a name="l01745"></a><span class="lineno"> 1745</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="l01746"></a><span class="lineno"> 1746</span>  }</div> +<div class="line"><a name="l01747"></a><span class="lineno"> 1747</span>  </div> +<div class="line"><a name="l01748"></a><span class="lineno"> 1748</span>  ValidateTensorShapesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> +<div class="line"><a name="l01749"></a><span class="lineno"> 1749</span>  </div> +<div class="line"><a name="l01750"></a><span class="lineno"> 1750</span>  <span class="comment">// Check the supported data types</span></div> +<div class="line"><a name="l01751"></a><span class="lineno"> 1751</span>  std::vector<DataType> supportedTypes =</div> +<div class="line"><a name="l01752"></a><span class="lineno"> 1752</span>  {</div> +<div class="line"><a name="l01753"></a><span class="lineno"> 1753</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> +<div class="line"><a name="l01754"></a><span class="lineno"> 1754</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l01755"></a><span class="lineno"> 1755</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l01756"></a><span class="lineno"> 1756</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l01757"></a><span class="lineno"> 1757</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l01758"></a><span class="lineno"> 1758</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> +<div class="line"><a name="l01759"></a><span class="lineno"> 1759</span>  };</div> +<div class="line"><a name="l01760"></a><span class="lineno"> 1760</span>  </div> +<div class="line"><a name="l01761"></a><span class="lineno"> 1761</span>  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);</div> +<div class="line"><a name="l01762"></a><span class="lineno"> 1762</span>  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> +<div class="line"><a name="l01763"></a><span class="lineno"> 1763</span> }</div> </div><!-- fragment --> -<p class="reference">References <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_tensor_8hpp_source.html#l00195">TensorInfo::GetNumDimensions()</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="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> +<p class="reference">References <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_tensor_8hpp_source.html#l00197">TensorInfo::GetNumDimensions()</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="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> </div> </div> @@ -226,7 +226,7 @@ Additional Inherited Members</h2></td></tr> </div><!-- contents --> </div><!-- doc-content --> <div class="ttc" id="aclassarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00152">Tensor.hpp:152</a></div></div> -<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorInfo::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00195">Tensor.hpp:195</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorInfo::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00197">Tensor.hpp:197</a></div></div> <div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div><div class="ttdeci">@ Float32</div></div> <div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div><div class="ttdeci">@ QAsymmU8</div></div> <div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div><div class="ttdeci">@ QSymmS16</div></div> @@ -240,7 +240,7 @@ Additional Inherited Members</h2></td></tr> <div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> <ul> <li class="navelem"><a class="el" href="namespacearmnn.html">armnn</a></li><li class="navelem"><a class="el" href="structarmnn_1_1_l2_normalization_queue_descriptor.html">L2NormalizationQueueDescriptor</a></li> - <li class="footer">Generated on Wed Nov 22 2023 10:57:14 for Arm NN by + <li class="footer">Generated on Wed Feb 14 2024 16:36:22 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> |