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Diffstat (limited to 'latest/structarmnn_1_1_reverse_v2_queue_descriptor.html')
-rw-r--r--latest/structarmnn_1_1_reverse_v2_queue_descriptor.html118
1 files changed, 59 insertions, 59 deletions
diff --git a/latest/structarmnn_1_1_reverse_v2_queue_descriptor.html b/latest/structarmnn_1_1_reverse_v2_queue_descriptor.html
index c83d57a8dc..b34053948b 100644
--- a/latest/structarmnn_1_1_reverse_v2_queue_descriptor.html
+++ b/latest/structarmnn_1_1_reverse_v2_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">
- &#160;<span id="projectnumber">24.02</span>
+ &#160;<span id="projectnumber">24.05</span>
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@@ -170,65 +170,65 @@ Additional Inherited Members</h2></td></tr>
</table>
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-<p class="definition">Definition at line <a class="el" href="_workload_data_8cpp_source.html#l01623">1623</a> of file <a class="el" href="_workload_data_8cpp_source.html">WorkloadData.cpp</a>.</p>
-<div class="fragment"><div class="line"><a name="l01624"></a><span class="lineno"> 1624</span>&#160;{</div>
-<div class="line"><a name="l01625"></a><span class="lineno"> 1625</span>&#160; <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">&quot;ReverseV2QueueDescriptor&quot;</span>};</div>
-<div class="line"><a name="l01626"></a><span class="lineno"> 1626</span>&#160; </div>
-<div class="line"><a name="l01627"></a><span class="lineno"> 1627</span>&#160; <span class="comment">// Backend restriction</span></div>
-<div class="line"><a name="l01628"></a><span class="lineno"> 1628</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> maxDimensions = 4;</div>
-<div class="line"><a name="l01629"></a><span class="lineno"> 1629</span>&#160; </div>
-<div class="line"><a name="l01630"></a><span class="lineno"> 1630</span>&#160; ValidateNumInputs(workloadInfo, descriptorName, 2);</div>
-<div class="line"><a name="l01631"></a><span class="lineno"> 1631</span>&#160; ValidateNumOutputs(workloadInfo, descriptorName, 1);</div>
-<div class="line"><a name="l01632"></a><span class="lineno"> 1632</span>&#160; </div>
-<div class="line"><a name="l01633"></a><span class="lineno"> 1633</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div>
-<div class="line"><a name="l01634"></a><span class="lineno"> 1634</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; axisTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[1];</div>
-<div class="line"><a name="l01635"></a><span class="lineno"> 1635</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div>
-<div class="line"><a name="l01636"></a><span class="lineno"> 1636</span>&#160; </div>
-<div class="line"><a name="l01637"></a><span class="lineno"> 1637</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> inputTensorNumDimensions = inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div>
-<div class="line"><a name="l01638"></a><span class="lineno"> 1638</span>&#160; <span class="keywordflow">if</span> (inputTensorNumDimensions &gt; maxDimensions)</div>
-<div class="line"><a name="l01639"></a><span class="lineno"> 1639</span>&#160; {</div>
-<div class="line"><a name="l01640"></a><span class="lineno"> 1640</span>&#160; <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="l01641"></a><span class="lineno"> 1641</span>&#160; <span class="stringliteral">&quot;: Input tensors with rank greater than &quot;</span> +</div>
-<div class="line"><a name="l01642"></a><span class="lineno"> 1642</span>&#160; std::to_string(maxDimensions) + <span class="stringliteral">&quot; are not supported.&quot;</span>);</div>
-<div class="line"><a name="l01643"></a><span class="lineno"> 1643</span>&#160; }</div>
-<div class="line"><a name="l01644"></a><span class="lineno"> 1644</span>&#160; </div>
-<div class="line"><a name="l01645"></a><span class="lineno"> 1645</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> axisTensorNumDimensions = axisTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div>
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-<div class="line"><a name="l01647"></a><span class="lineno"> 1647</span>&#160; {</div>
-<div class="line"><a name="l01648"></a><span class="lineno"> 1648</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName +</div>
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-<div class="line"><a name="l01652"></a><span class="lineno"> 1652</span>&#160; <span class="keywordflow">if</span> (axisTensorNumDimensions &gt; inputTensorNumDimensions)</div>
-<div class="line"><a name="l01653"></a><span class="lineno"> 1653</span>&#160; {</div>
-<div class="line"><a name="l01654"></a><span class="lineno"> 1654</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName +</div>
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-<div class="line"><a name="l01658"></a><span class="lineno"> 1658</span>&#160; std::vector&lt;DataType&gt; supportedTypes =</div>
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-<div class="line"><a name="l01667"></a><span class="lineno"> 1667</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div>
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-<div class="line"><a name="l01670"></a><span class="lineno"> 1670</span>&#160; ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);</div>
+<p class="definition">Definition at line <a class="el" href="_workload_data_8cpp_source.html#l01625">1625</a> of file <a class="el" href="_workload_data_8cpp_source.html">WorkloadData.cpp</a>.</p>
+<div class="fragment"><div class="line"><a name="l01626"></a><span class="lineno"> 1626</span>&#160;{</div>
+<div class="line"><a name="l01627"></a><span class="lineno"> 1627</span>&#160; <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">&quot;ReverseV2QueueDescriptor&quot;</span>};</div>
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+<div class="line"><a name="l01629"></a><span class="lineno"> 1629</span>&#160; <span class="comment">// Backend restriction</span></div>
+<div class="line"><a name="l01630"></a><span class="lineno"> 1630</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> maxDimensions = 4;</div>
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+<div class="line"><a name="l01632"></a><span class="lineno"> 1632</span>&#160; ValidateNumInputs(workloadInfo, descriptorName, 2);</div>
+<div class="line"><a name="l01633"></a><span class="lineno"> 1633</span>&#160; ValidateNumOutputs(workloadInfo, descriptorName, 1);</div>
+<div class="line"><a name="l01634"></a><span class="lineno"> 1634</span>&#160; </div>
+<div class="line"><a name="l01635"></a><span class="lineno"> 1635</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div>
+<div class="line"><a name="l01636"></a><span class="lineno"> 1636</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; axisTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[1];</div>
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+<div class="line"><a name="l01638"></a><span class="lineno"> 1638</span>&#160; </div>
+<div class="line"><a name="l01639"></a><span class="lineno"> 1639</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> inputTensorNumDimensions = inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div>
+<div class="line"><a name="l01640"></a><span class="lineno"> 1640</span>&#160; <span class="keywordflow">if</span> (inputTensorNumDimensions &gt; maxDimensions)</div>
+<div class="line"><a name="l01641"></a><span class="lineno"> 1641</span>&#160; {</div>
+<div class="line"><a name="l01642"></a><span class="lineno"> 1642</span>&#160; <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="l01643"></a><span class="lineno"> 1643</span>&#160; <span class="stringliteral">&quot;: Input tensors with rank greater than &quot;</span> +</div>
+<div class="line"><a name="l01644"></a><span class="lineno"> 1644</span>&#160; std::to_string(maxDimensions) + <span class="stringliteral">&quot; are not supported.&quot;</span>);</div>
+<div class="line"><a name="l01645"></a><span class="lineno"> 1645</span>&#160; }</div>
+<div class="line"><a name="l01646"></a><span class="lineno"> 1646</span>&#160; </div>
+<div class="line"><a name="l01647"></a><span class="lineno"> 1647</span>&#160; <span class="keyword">const</span> <span class="keyword">auto</span> axisTensorNumDimensions = axisTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div>
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+<div class="line"><a name="l01649"></a><span class="lineno"> 1649</span>&#160; {</div>
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+<div class="line"><a name="l01651"></a><span class="lineno"> 1651</span>&#160; <span class="stringliteral">&quot;: More than &quot;</span> + std::to_string(maxDimensions) + <span class="stringliteral">&quot; axes cannot be specified.&quot;</span>);</div>
+<div class="line"><a name="l01652"></a><span class="lineno"> 1652</span>&#160; }</div>
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+<div class="line"><a name="l01655"></a><span class="lineno"> 1655</span>&#160; {</div>
+<div class="line"><a name="l01656"></a><span class="lineno"> 1656</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName +</div>
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+<div class="line"><a name="l01658"></a><span class="lineno"> 1658</span>&#160; }</div>
+<div class="line"><a name="l01659"></a><span class="lineno"> 1659</span>&#160; </div>
+<div class="line"><a name="l01660"></a><span class="lineno"> 1660</span>&#160; std::vector&lt;DataType&gt; supportedTypes =</div>
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<div class="line"><a name="l01678"></a><span class="lineno"> 1678</span>&#160; </div>
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+<div class="line"><a name="l01679"></a><span class="lineno"> 1679</span>&#160; ValidateDataTypes(axisTensorInfo, axisSupportedTypes, descriptorName);</div>
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+<div class="line"><a name="l01682"></a><span class="lineno"> 1682</span>&#160; ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">&quot;input&quot;</span>, <span class="stringliteral">&quot;output&quot;</span>);</div>
+<div class="line"><a name="l01683"></a><span class="lineno"> 1683</span>&#160;}</div>
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<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>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::QSymmS8</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p>
@@ -257,7 +257,7 @@ Additional Inherited Members</h2></td></tr>
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