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| author | Nikhil Raj <nikhil.raj@arm.com> | 2024-05-16 09:47:51 +0100 |
|---|---|---|
| committer | Nikhil Raj <nikhil.raj@arm.com> | 2024-05-16 09:47:51 +0100 |
| commit | 1dc83febfb76d6a770bdf3ba16c4034a970c2320 (patch) | |
| tree | 66d27e5587e9010f3db26a23a348df844c88f8e6 /latest/structarmnn_1_1_arg_min_max_queue_descriptor.html | |
| parent | 38b600d8abb2c5f7a44511b5deddf441f975d51d (diff) | |
| download | armnn-gh-pages.tar.gz | |
IVGCVSW-8260 Update Doxgen Docu for 24.05gh-pages
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: If4bc983bf2793a27ded8e26ac2b29523fc1e4711
Diffstat (limited to 'latest/structarmnn_1_1_arg_min_max_queue_descriptor.html')
| -rw-r--r-- | latest/structarmnn_1_1_arg_min_max_queue_descriptor.html | 134 |
1 files changed, 67 insertions, 67 deletions
diff --git a/latest/structarmnn_1_1_arg_min_max_queue_descriptor.html b/latest/structarmnn_1_1_arg_min_max_queue_descriptor.html index 77161fd30e..ccc08c7c4f 100644 --- a/latest/structarmnn_1_1_arg_min_max_queue_descriptor.html +++ b/latest/structarmnn_1_1_arg_min_max_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> </div> </td> </tr> @@ -183,71 +183,71 @@ 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#l00628">628</a> of file <a class="el" href="_workload_data_8cpp_source.html">WorkloadData.cpp</a>.</p> -<div class="fragment"><div class="line"><a name="l00629"></a><span class="lineno"> 629</span> {</div> -<div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"ArgMinMaxQueueDescriptor"</span>};</div> -<div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  </div> -<div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> -<div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> -<div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  </div> -<div class="line"><a name="l00635"></a><span class="lineno"> 635</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="l00636"></a><span class="lineno"> 636</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="l00637"></a><span class="lineno"> 637</span>  </div> -<div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  <span class="keywordflow">if</span> (outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() != <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a> &&</div> -<div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() != <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6ae1b3c9c6087a93b07c83e0b04f377a8d">DataType::Signed64</a>)</div> -<div class="line"><a name="l00640"></a><span class="lineno"> 640</span>  {</div> -<div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Output of ArgMinMax layer must be Int32 or Int64."</span>);</div> -<div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  }</div> -<div class="line"><a name="l00643"></a><span class="lineno"> 643</span>  </div> -<div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  std::vector<DataType> supportedInputTypes =</div> -<div class="line"><a name="l00645"></a><span class="lineno"> 645</span>  {</div> -<div class="line"><a name="l00646"></a><span class="lineno"> 646</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> -<div class="line"><a name="l00647"></a><span class="lineno"> 647</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> -<div class="line"><a name="l00648"></a><span class="lineno"> 648</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> -<div class="line"><a name="l00649"></a><span class="lineno"> 649</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> -<div class="line"><a name="l00650"></a><span class="lineno"> 650</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> -<div class="line"><a name="l00651"></a><span class="lineno"> 651</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> -<div class="line"><a name="l00652"></a><span class="lineno"> 652</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>,</div> -<div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6ae1b3c9c6087a93b07c83e0b04f377a8d">DataType::Signed64</a></div> -<div class="line"><a name="l00654"></a><span class="lineno"> 654</span>  };</div> -<div class="line"><a name="l00655"></a><span class="lineno"> 655</span>  </div> -<div class="line"><a name="l00656"></a><span class="lineno"> 656</span>  ValidateDataTypes(inputTensorInfo, supportedInputTypes, descriptorName);</div> -<div class="line"><a name="l00657"></a><span class="lineno"> 657</span>  </div> -<div class="line"><a name="l00658"></a><span class="lineno"> 658</span>  <span class="keyword">auto</span> inputShape = inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div> -<div class="line"><a name="l00659"></a><span class="lineno"> 659</span>  <span class="keyword">auto</span> outputShape = outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div> -<div class="line"><a name="l00660"></a><span class="lineno"> 660</span>  </div> -<div class="line"><a name="l00661"></a><span class="lineno"> 661</span>  <span class="keyword">auto</span> inputNumDimensions = inputShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div> -<div class="line"><a name="l00662"></a><span class="lineno"> 662</span>  <span class="keyword">auto</span> unsignedAxis = <a class="code" href="namespacearmnn_utils.html#ac93cb1365b4bcb67df2a3164606096c5">armnnUtils::GetUnsignedAxis</a>(inputNumDimensions, <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_arg_min_max_descriptor.html#a214c3636fdf0ea5bac8edb42d0e6c7f0">m_Axis</a>);</div> -<div class="line"><a name="l00663"></a><span class="lineno"> 663</span>  </div> -<div class="line"><a name="l00664"></a><span class="lineno"> 664</span>  <span class="keyword">const</span> std::string outputShapeError{<span class="stringliteral">": Output tensor shape does not match shape inferred from input tensor."</span>};</div> -<div class="line"><a name="l00665"></a><span class="lineno"> 665</span>  </div> -<div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  <span class="comment">// 1D input shape results in scalar output shape</span></div> -<div class="line"><a name="l00667"></a><span class="lineno"> 667</span>  <span class="keywordflow">if</span> (inputShape.GetNumDimensions() == 1)</div> -<div class="line"><a name="l00668"></a><span class="lineno"> 668</span>  {</div> -<div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  <span class="keywordflow">if</span> (outputShape.GetNumDimensions() != 1 && outputShape[0] != 1)</div> -<div class="line"><a name="l00670"></a><span class="lineno"> 670</span>  {</div> -<div class="line"><a name="l00671"></a><span class="lineno"> 671</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + outputShapeError);</div> -<div class="line"><a name="l00672"></a><span class="lineno"> 672</span>  }</div> -<div class="line"><a name="l00673"></a><span class="lineno"> 673</span>  }</div> -<div class="line"><a name="l00674"></a><span class="lineno"> 674</span>  <span class="keywordflow">else</span></div> -<div class="line"><a name="l00675"></a><span class="lineno"> 675</span>  {</div> -<div class="line"><a name="l00676"></a><span class="lineno"> 676</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < unsignedAxis; ++i)</div> -<div class="line"><a name="l00677"></a><span class="lineno"> 677</span>  {</div> -<div class="line"><a name="l00678"></a><span class="lineno"> 678</span>  <span class="keywordflow">if</span> (outputShape[i] != inputShape[i])</div> -<div class="line"><a name="l00679"></a><span class="lineno"> 679</span>  {</div> -<div class="line"><a name="l00680"></a><span class="lineno"> 680</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + outputShapeError);</div> -<div class="line"><a name="l00681"></a><span class="lineno"> 681</span>  }</div> -<div class="line"><a name="l00682"></a><span class="lineno"> 682</span>  }</div> -<div class="line"><a name="l00683"></a><span class="lineno"> 683</span>  </div> -<div class="line"><a name="l00684"></a><span class="lineno"> 684</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> i = unsignedAxis + 1; i < inputNumDimensions; ++i)</div> -<div class="line"><a name="l00685"></a><span class="lineno"> 685</span>  {</div> -<div class="line"><a name="l00686"></a><span class="lineno"> 686</span>  <span class="keywordflow">if</span> (outputShape[i - 1] != inputShape[i])</div> -<div class="line"><a name="l00687"></a><span class="lineno"> 687</span>  {</div> -<div class="line"><a name="l00688"></a><span class="lineno"> 688</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + outputShapeError);</div> -<div class="line"><a name="l00689"></a><span class="lineno"> 689</span>  }</div> -<div class="line"><a name="l00690"></a><span class="lineno"> 690</span>  }</div> -<div class="line"><a name="l00691"></a><span class="lineno"> 691</span>  }</div> -<div class="line"><a name="l00692"></a><span class="lineno"> 692</span> }</div> +<p class="definition">Definition at line <a class="el" href="_workload_data_8cpp_source.html#l00629">629</a> of file <a class="el" href="_workload_data_8cpp_source.html">WorkloadData.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00630"></a><span class="lineno"> 630</span> {</div> +<div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"ArgMinMaxQueueDescriptor"</span>};</div> +<div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  </div> +<div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> +<div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> +<div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  </div> +<div class="line"><a name="l00636"></a><span class="lineno"> 636</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="l00637"></a><span class="lineno"> 637</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="l00638"></a><span class="lineno"> 638</span>  </div> +<div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  <span class="keywordflow">if</span> (outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() != <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a> &&</div> +<div class="line"><a name="l00640"></a><span class="lineno"> 640</span>  outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() != <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6ae1b3c9c6087a93b07c83e0b04f377a8d">DataType::Signed64</a>)</div> +<div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  {</div> +<div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Output of ArgMinMax layer must be Int32 or Int64."</span>);</div> +<div class="line"><a name="l00643"></a><span class="lineno"> 643</span>  }</div> +<div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  </div> +<div class="line"><a name="l00645"></a><span class="lineno"> 645</span>  std::vector<DataType> supportedInputTypes =</div> +<div class="line"><a name="l00646"></a><span class="lineno"> 646</span>  {</div> +<div class="line"><a name="l00647"></a><span class="lineno"> 647</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> +<div class="line"><a name="l00648"></a><span class="lineno"> 648</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l00649"></a><span class="lineno"> 649</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l00650"></a><span class="lineno"> 650</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l00651"></a><span class="lineno"> 651</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l00652"></a><span class="lineno"> 652</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> +<div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>,</div> +<div class="line"><a name="l00654"></a><span class="lineno"> 654</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6ae1b3c9c6087a93b07c83e0b04f377a8d">DataType::Signed64</a></div> +<div class="line"><a name="l00655"></a><span class="lineno"> 655</span>  };</div> +<div class="line"><a name="l00656"></a><span class="lineno"> 656</span>  </div> +<div class="line"><a name="l00657"></a><span class="lineno"> 657</span>  ValidateDataTypes(inputTensorInfo, supportedInputTypes, descriptorName);</div> +<div class="line"><a name="l00658"></a><span class="lineno"> 658</span>  </div> +<div class="line"><a name="l00659"></a><span class="lineno"> 659</span>  <span class="keyword">auto</span> inputShape = inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div> +<div class="line"><a name="l00660"></a><span class="lineno"> 660</span>  <span class="keyword">auto</span> outputShape = outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div> +<div class="line"><a name="l00661"></a><span class="lineno"> 661</span>  </div> +<div class="line"><a name="l00662"></a><span class="lineno"> 662</span>  <span class="keyword">auto</span> inputNumDimensions = inputShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div> +<div class="line"><a name="l00663"></a><span class="lineno"> 663</span>  <span class="keyword">auto</span> unsignedAxis = <a class="code" href="namespacearmnn_utils.html#ac93cb1365b4bcb67df2a3164606096c5">armnnUtils::GetUnsignedAxis</a>(inputNumDimensions, <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_arg_min_max_descriptor.html#a214c3636fdf0ea5bac8edb42d0e6c7f0">m_Axis</a>);</div> +<div class="line"><a name="l00664"></a><span class="lineno"> 664</span>  </div> +<div class="line"><a name="l00665"></a><span class="lineno"> 665</span>  <span class="keyword">const</span> std::string outputShapeError{<span class="stringliteral">": Output tensor shape does not match shape inferred from input tensor."</span>};</div> +<div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  </div> +<div class="line"><a name="l00667"></a><span class="lineno"> 667</span>  <span class="comment">// 1D input shape results in scalar output shape</span></div> +<div class="line"><a name="l00668"></a><span class="lineno"> 668</span>  <span class="keywordflow">if</span> (inputShape.GetNumDimensions() == 1)</div> +<div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  {</div> +<div class="line"><a name="l00670"></a><span class="lineno"> 670</span>  <span class="keywordflow">if</span> (outputShape.GetNumDimensions() != 1 && outputShape[0] != 1)</div> +<div class="line"><a name="l00671"></a><span class="lineno"> 671</span>  {</div> +<div class="line"><a name="l00672"></a><span class="lineno"> 672</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + outputShapeError);</div> +<div class="line"><a name="l00673"></a><span class="lineno"> 673</span>  }</div> +<div class="line"><a name="l00674"></a><span class="lineno"> 674</span>  }</div> +<div class="line"><a name="l00675"></a><span class="lineno"> 675</span>  <span class="keywordflow">else</span></div> +<div class="line"><a name="l00676"></a><span class="lineno"> 676</span>  {</div> +<div class="line"><a name="l00677"></a><span class="lineno"> 677</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < unsignedAxis; ++i)</div> +<div class="line"><a name="l00678"></a><span class="lineno"> 678</span>  {</div> +<div class="line"><a name="l00679"></a><span class="lineno"> 679</span>  <span class="keywordflow">if</span> (outputShape[i] != inputShape[i])</div> +<div class="line"><a name="l00680"></a><span class="lineno"> 680</span>  {</div> +<div class="line"><a name="l00681"></a><span class="lineno"> 681</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + outputShapeError);</div> +<div class="line"><a name="l00682"></a><span class="lineno"> 682</span>  }</div> +<div class="line"><a name="l00683"></a><span class="lineno"> 683</span>  }</div> +<div class="line"><a name="l00684"></a><span class="lineno"> 684</span>  </div> +<div class="line"><a name="l00685"></a><span class="lineno"> 685</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> i = unsignedAxis + 1; i < inputNumDimensions; ++i)</div> +<div class="line"><a name="l00686"></a><span class="lineno"> 686</span>  {</div> +<div class="line"><a name="l00687"></a><span class="lineno"> 687</span>  <span class="keywordflow">if</span> (outputShape[i - 1] != inputShape[i])</div> +<div class="line"><a name="l00688"></a><span class="lineno"> 688</span>  {</div> +<div class="line"><a name="l00689"></a><span class="lineno"> 689</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + outputShapeError);</div> +<div class="line"><a name="l00690"></a><span class="lineno"> 690</span>  }</div> +<div class="line"><a name="l00691"></a><span class="lineno"> 691</span>  }</div> +<div class="line"><a name="l00692"></a><span class="lineno"> 692</span>  }</div> +<div class="line"><a name="l00693"></a><span class="lineno"> 693</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#l00200">TensorInfo::GetDataType()</a>, <a class="el" href="_tensor_8cpp_source.html#l00174">TensorShape::GetNumDimensions()</a>, <a class="el" href="_tensor_8hpp_source.html#l00193">TensorInfo::GetShape()</a>, <a class="el" href="_tensor_utils_8cpp_source.html#l00236">armnnUtils::GetUnsignedAxis()</a>, <a class="el" href="_descriptors_8hpp_source.html#l00083">ArgMinMaxDescriptor::m_Axis</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< ArgMinMaxDescriptor >::m_Parameters</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#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6ae1b3c9c6087a93b07c83e0b04f377a8d">armnn::Signed64</a>.</p> @@ -281,7 +281,7 @@ 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" 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