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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_splitter_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_splitter_queue_descriptor.html')
| -rw-r--r-- | latest/structarmnn_1_1_splitter_queue_descriptor.html | 146 |
1 files changed, 73 insertions, 73 deletions
diff --git a/latest/structarmnn_1_1_splitter_queue_descriptor.html b/latest/structarmnn_1_1_splitter_queue_descriptor.html index eb01fbb57a..d9d987781a 100644 --- a/latest/structarmnn_1_1_splitter_queue_descriptor.html +++ b/latest/structarmnn_1_1_splitter_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> @@ -195,77 +195,77 @@ 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#l00746">746</a> of file <a class="el" href="_workload_data_8cpp_source.html">WorkloadData.cpp</a>.</p> -<div class="fragment"><div class="line"><a name="l00747"></a><span class="lineno"> 747</span> {</div> -<div class="line"><a name="l00748"></a><span class="lineno"> 748</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"SplitterQueueDescriptor"</span>};</div> -<div class="line"><a name="l00749"></a><span class="lineno"> 749</span>  </div> -<div class="line"><a name="l00750"></a><span class="lineno"> 750</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> +<p class="definition">Definition at line <a class="el" href="_workload_data_8cpp_source.html#l00748">748</a> of file <a class="el" href="_workload_data_8cpp_source.html">WorkloadData.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00749"></a><span class="lineno"> 749</span> {</div> +<div class="line"><a name="l00750"></a><span class="lineno"> 750</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"SplitterQueueDescriptor"</span>};</div> <div class="line"><a name="l00751"></a><span class="lineno"> 751</span>  </div> -<div class="line"><a name="l00752"></a><span class="lineno"> 752</span>  <span class="comment">// Check the supported data types</span></div> -<div class="line"><a name="l00753"></a><span class="lineno"> 753</span>  std::vector<DataType> supportedTypes =</div> -<div class="line"><a name="l00754"></a><span class="lineno"> 754</span>  {</div> -<div class="line"><a name="l00755"></a><span class="lineno"> 755</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> -<div class="line"><a name="l00756"></a><span class="lineno"> 756</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> -<div class="line"><a name="l00757"></a><span class="lineno"> 757</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> -<div class="line"><a name="l00758"></a><span class="lineno"> 758</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">DataType::Boolean</a>,</div> -<div class="line"><a name="l00759"></a><span class="lineno"> 759</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>,</div> -<div class="line"><a name="l00760"></a><span class="lineno"> 760</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> -<div class="line"><a name="l00761"></a><span class="lineno"> 761</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> -<div class="line"><a name="l00762"></a><span class="lineno"> 762</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> -<div class="line"><a name="l00763"></a><span class="lineno"> 763</span>  };</div> -<div class="line"><a name="l00764"></a><span class="lineno"> 764</span>  </div> -<div class="line"><a name="l00765"></a><span class="lineno"> 765</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="l00766"></a><span class="lineno"> 766</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">long</span> i = 0ul; i < workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>.size(); ++i)</div> -<div class="line"><a name="l00767"></a><span class="lineno"> 767</span>  {</div> -<div class="line"><a name="l00768"></a><span class="lineno"> 768</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>[i];</div> -<div class="line"><a name="l00769"></a><span class="lineno"> 769</span>  ValidateDataTypes(outputTensorInfo, supportedTypes, descriptorName);</div> -<div class="line"><a name="l00770"></a><span class="lineno"> 770</span>  </div> -<div class="line"><a name="l00771"></a><span class="lineno"> 771</span>  <span class="keyword">const</span> std::string outputName = <span class="stringliteral">"output_"</span> + std::to_string(i);</div> -<div class="line"><a name="l00772"></a><span class="lineno"> 772</span>  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, outputName);</div> -<div class="line"><a name="l00773"></a><span class="lineno"> 773</span>  }</div> -<div class="line"><a name="l00774"></a><span class="lineno"> 774</span>  </div> -<div class="line"><a name="l00775"></a><span class="lineno"> 775</span>  <span class="keywordflow">if</span> (workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>.size() <= 0)</div> -<div class="line"><a name="l00776"></a><span class="lineno"> 776</span>  {</div> -<div class="line"><a name="l00777"></a><span class="lineno"> 777</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": At least one output needs to be provided."</span>);</div> -<div class="line"><a name="l00778"></a><span class="lineno"> 778</span>  }</div> -<div class="line"><a name="l00779"></a><span class="lineno"> 779</span>  </div> -<div class="line"><a name="l00780"></a><span class="lineno"> 780</span>  <span class="keywordflow">if</span> (workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>.size() != <a class="code" href="structarmnn_1_1_splitter_queue_descriptor.html#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>.size())</div> -<div class="line"><a name="l00781"></a><span class="lineno"> 781</span>  {</div> -<div class="line"><a name="l00782"></a><span class="lineno"> 782</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(</div> -<div class="line"><a name="l00783"></a><span class="lineno"> 783</span>  descriptorName + <span class="stringliteral">": Number of split windows "</span></div> -<div class="line"><a name="l00784"></a><span class="lineno"> 784</span>  <span class="stringliteral">"has to match number of workloadInfo.m_OutputTensorInfos. "</span></div> -<div class="line"><a name="l00785"></a><span class="lineno"> 785</span>  <span class="stringliteral">"Number of windows: "</span> +</div> -<div class="line"><a name="l00786"></a><span class="lineno"> 786</span>  to_string(<a class="code" href="structarmnn_1_1_splitter_queue_descriptor.html#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>.size()) +</div> -<div class="line"><a name="l00787"></a><span class="lineno"> 787</span>  <span class="stringliteral">". Number of workloadInfo.m_OutputTensorInfos: "</span> + to_string(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>.size()));</div> -<div class="line"><a name="l00788"></a><span class="lineno"> 788</span>  }</div> -<div class="line"><a name="l00789"></a><span class="lineno"> 789</span>  </div> -<div class="line"><a name="l00790"></a><span class="lineno"> 790</span>  <span class="comment">//The dimensionality of all the windows has to match the dimensionality (not shape) of the input.</span></div> -<div class="line"><a name="l00791"></a><span class="lineno"> 791</span>  std::size_t inputDims = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0].GetNumDimensions();</div> -<div class="line"><a name="l00792"></a><span class="lineno"> 792</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> w = 0; w < <a class="code" href="structarmnn_1_1_splitter_queue_descriptor.html#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>.size(); ++w )</div> -<div class="line"><a name="l00793"></a><span class="lineno"> 793</span>  {</div> -<div class="line"><a name="l00794"></a><span class="lineno"> 794</span>  <span class="comment">//Checks that the dimensionality of input is same as the split windows.</span></div> -<div class="line"><a name="l00795"></a><span class="lineno"> 795</span>  ViewOrigin <span class="keyword">const</span>& e = <a class="code" href="structarmnn_1_1_splitter_queue_descriptor.html#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>[w];</div> -<div class="line"><a name="l00796"></a><span class="lineno"> 796</span>  <span class="keywordflow">if</span> (e.m_Origin.size() != inputDims)</div> -<div class="line"><a name="l00797"></a><span class="lineno"> 797</span>  {</div> -<div class="line"><a name="l00798"></a><span class="lineno"> 798</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Window origin have to "</span></div> -<div class="line"><a name="l00799"></a><span class="lineno"> 799</span>  <span class="stringliteral">"have the same dimensionality as the input tensor. "</span></div> -<div class="line"><a name="l00800"></a><span class="lineno"> 800</span>  <span class="stringliteral">"Window origin (index: "</span> +</div> -<div class="line"><a name="l00801"></a><span class="lineno"> 801</span>  to_string(w) + <span class="stringliteral">") has "</span> + to_string(e.m_Origin.size()) +</div> -<div class="line"><a name="l00802"></a><span class="lineno"> 802</span>  <span class="stringliteral">" dimensions, the input "</span></div> -<div class="line"><a name="l00803"></a><span class="lineno"> 803</span>  <span class="stringliteral">"tensor has "</span> +</div> -<div class="line"><a name="l00804"></a><span class="lineno"> 804</span>  to_string(inputDims) + <span class="stringliteral">" dimensions."</span>);</div> -<div class="line"><a name="l00805"></a><span class="lineno"> 805</span>  }</div> -<div class="line"><a name="l00806"></a><span class="lineno"> 806</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < e.m_Origin.size(); ++i)</div> -<div class="line"><a name="l00807"></a><span class="lineno"> 807</span>  {</div> -<div class="line"><a name="l00808"></a><span class="lineno"> 808</span>  <span class="keywordflow">if</span> (e.m_Origin[i] + workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[w].GetShape()[i] ></div> -<div class="line"><a name="l00809"></a><span class="lineno"> 809</span>  workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0].GetShape()[i])</div> -<div class="line"><a name="l00810"></a><span class="lineno"> 810</span>  {</div> -<div class="line"><a name="l00811"></a><span class="lineno"> 811</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Window extent coordinates have to "</span></div> -<div class="line"><a name="l00812"></a><span class="lineno"> 812</span>  <span class="stringliteral">"be smaller or equal than the size of the input in that coord."</span>);</div> -<div class="line"><a name="l00813"></a><span class="lineno"> 813</span>  }</div> -<div class="line"><a name="l00814"></a><span class="lineno"> 814</span>  }</div> -<div class="line"><a name="l00815"></a><span class="lineno"> 815</span>  }</div> -<div class="line"><a name="l00816"></a><span class="lineno"> 816</span> }</div> +<div class="line"><a name="l00752"></a><span class="lineno"> 752</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> +<div class="line"><a name="l00753"></a><span class="lineno"> 753</span>  </div> +<div class="line"><a name="l00754"></a><span class="lineno"> 754</span>  <span class="comment">// Check the supported data types</span></div> +<div class="line"><a name="l00755"></a><span class="lineno"> 755</span>  std::vector<DataType> supportedTypes =</div> +<div class="line"><a name="l00756"></a><span class="lineno"> 756</span>  {</div> +<div class="line"><a name="l00757"></a><span class="lineno"> 757</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> +<div class="line"><a name="l00758"></a><span class="lineno"> 758</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> +<div class="line"><a name="l00759"></a><span class="lineno"> 759</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> +<div class="line"><a name="l00760"></a><span class="lineno"> 760</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">DataType::Boolean</a>,</div> +<div class="line"><a name="l00761"></a><span class="lineno"> 761</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>,</div> +<div class="line"><a name="l00762"></a><span class="lineno"> 762</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> +<div class="line"><a name="l00763"></a><span class="lineno"> 763</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> +<div class="line"><a name="l00764"></a><span class="lineno"> 764</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> +<div class="line"><a name="l00765"></a><span class="lineno"> 765</span>  };</div> +<div class="line"><a name="l00766"></a><span class="lineno"> 766</span>  </div> +<div class="line"><a name="l00767"></a><span class="lineno"> 767</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="l00768"></a><span class="lineno"> 768</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">long</span> i = 0ul; i < workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>.size(); ++i)</div> +<div class="line"><a name="l00769"></a><span class="lineno"> 769</span>  {</div> +<div class="line"><a name="l00770"></a><span class="lineno"> 770</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>[i];</div> +<div class="line"><a name="l00771"></a><span class="lineno"> 771</span>  ValidateDataTypes(outputTensorInfo, supportedTypes, descriptorName);</div> +<div class="line"><a name="l00772"></a><span class="lineno"> 772</span>  </div> +<div class="line"><a name="l00773"></a><span class="lineno"> 773</span>  <span class="keyword">const</span> std::string outputName = <span class="stringliteral">"output_"</span> + std::to_string(i);</div> +<div class="line"><a name="l00774"></a><span class="lineno"> 774</span>  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, outputName);</div> +<div class="line"><a name="l00775"></a><span class="lineno"> 775</span>  }</div> +<div class="line"><a name="l00776"></a><span class="lineno"> 776</span>  </div> +<div class="line"><a name="l00777"></a><span class="lineno"> 777</span>  <span class="keywordflow">if</span> (workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>.size() <= 0)</div> +<div class="line"><a name="l00778"></a><span class="lineno"> 778</span>  {</div> +<div class="line"><a name="l00779"></a><span class="lineno"> 779</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": At least one output needs to be provided."</span>);</div> +<div class="line"><a name="l00780"></a><span class="lineno"> 780</span>  }</div> +<div class="line"><a name="l00781"></a><span class="lineno"> 781</span>  </div> +<div class="line"><a name="l00782"></a><span class="lineno"> 782</span>  <span class="keywordflow">if</span> (workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>.size() != <a class="code" href="structarmnn_1_1_splitter_queue_descriptor.html#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>.size())</div> +<div class="line"><a name="l00783"></a><span class="lineno"> 783</span>  {</div> +<div class="line"><a name="l00784"></a><span class="lineno"> 784</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(</div> +<div class="line"><a name="l00785"></a><span class="lineno"> 785</span>  descriptorName + <span class="stringliteral">": Number of split windows "</span></div> +<div class="line"><a name="l00786"></a><span class="lineno"> 786</span>  <span class="stringliteral">"has to match number of workloadInfo.m_OutputTensorInfos. "</span></div> +<div class="line"><a name="l00787"></a><span class="lineno"> 787</span>  <span class="stringliteral">"Number of windows: "</span> +</div> +<div class="line"><a name="l00788"></a><span class="lineno"> 788</span>  to_string(<a class="code" href="structarmnn_1_1_splitter_queue_descriptor.html#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>.size()) +</div> +<div class="line"><a name="l00789"></a><span class="lineno"> 789</span>  <span class="stringliteral">". Number of workloadInfo.m_OutputTensorInfos: "</span> + to_string(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>.size()));</div> +<div class="line"><a name="l00790"></a><span class="lineno"> 790</span>  }</div> +<div class="line"><a name="l00791"></a><span class="lineno"> 791</span>  </div> +<div class="line"><a name="l00792"></a><span class="lineno"> 792</span>  <span class="comment">//The dimensionality of all the windows has to match the dimensionality (not shape) of the input.</span></div> +<div class="line"><a name="l00793"></a><span class="lineno"> 793</span>  std::size_t inputDims = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0].GetNumDimensions();</div> +<div class="line"><a name="l00794"></a><span class="lineno"> 794</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> w = 0; w < <a class="code" href="structarmnn_1_1_splitter_queue_descriptor.html#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>.size(); ++w )</div> +<div class="line"><a name="l00795"></a><span class="lineno"> 795</span>  {</div> +<div class="line"><a name="l00796"></a><span class="lineno"> 796</span>  <span class="comment">//Checks that the dimensionality of input is same as the split windows.</span></div> +<div class="line"><a name="l00797"></a><span class="lineno"> 797</span>  ViewOrigin <span class="keyword">const</span>& e = <a class="code" href="structarmnn_1_1_splitter_queue_descriptor.html#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>[w];</div> +<div class="line"><a name="l00798"></a><span class="lineno"> 798</span>  <span class="keywordflow">if</span> (e.m_Origin.size() != inputDims)</div> +<div class="line"><a name="l00799"></a><span class="lineno"> 799</span>  {</div> +<div class="line"><a name="l00800"></a><span class="lineno"> 800</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Window origin have to "</span></div> +<div class="line"><a name="l00801"></a><span class="lineno"> 801</span>  <span class="stringliteral">"have the same dimensionality as the input tensor. "</span></div> +<div class="line"><a name="l00802"></a><span class="lineno"> 802</span>  <span class="stringliteral">"Window origin (index: "</span> +</div> +<div class="line"><a name="l00803"></a><span class="lineno"> 803</span>  to_string(w) + <span class="stringliteral">") has "</span> + to_string(e.m_Origin.size()) +</div> +<div class="line"><a name="l00804"></a><span class="lineno"> 804</span>  <span class="stringliteral">" dimensions, the input "</span></div> +<div class="line"><a name="l00805"></a><span class="lineno"> 805</span>  <span class="stringliteral">"tensor has "</span> +</div> +<div class="line"><a name="l00806"></a><span class="lineno"> 806</span>  to_string(inputDims) + <span class="stringliteral">" dimensions."</span>);</div> +<div class="line"><a name="l00807"></a><span class="lineno"> 807</span>  }</div> +<div class="line"><a name="l00808"></a><span class="lineno"> 808</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < e.m_Origin.size(); ++i)</div> +<div class="line"><a name="l00809"></a><span class="lineno"> 809</span>  {</div> +<div class="line"><a name="l00810"></a><span class="lineno"> 810</span>  <span class="keywordflow">if</span> (e.m_Origin[i] + workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[w].GetShape()[i] ></div> +<div class="line"><a name="l00811"></a><span class="lineno"> 811</span>  workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0].GetShape()[i])</div> +<div class="line"><a name="l00812"></a><span class="lineno"> 812</span>  {</div> +<div class="line"><a name="l00813"></a><span class="lineno"> 813</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Window extent coordinates have to "</span></div> +<div class="line"><a name="l00814"></a><span class="lineno"> 814</span>  <span class="stringliteral">"be smaller or equal than the size of the input in that coord."</span>);</div> +<div class="line"><a name="l00815"></a><span class="lineno"> 815</span>  }</div> +<div class="line"><a name="l00816"></a><span class="lineno"> 816</span>  }</div> +<div class="line"><a name="l00817"></a><span class="lineno"> 817</span>  }</div> +<div class="line"><a name="l00818"></a><span class="lineno"> 818</span> }</div> </div><!-- fragment --> <p class="reference">References <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::Boolean</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="_workload_info_8hpp_source.html#l00018">WorkloadInfo::m_InputTensorInfos</a>, <a class="el" href="_workload_data_8hpp_source.html#l00119">SplitterQueueDescriptor::ViewOrigin::m_Origin</a>, <a class="el" href="_workload_info_8hpp_source.html#l00019">WorkloadInfo::m_OutputTensorInfos</a>, <a class="el" href="_workload_data_8hpp_source.html#l00124">SplitterQueueDescriptor::m_ViewOrigins</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>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> @@ -286,7 +286,7 @@ Additional Inherited Members</h2></td></tr> <p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.html#l00124">124</a> of file <a class="el" href="_workload_data_8hpp_source.html">WorkloadData.hpp</a>.</p> -<p class="reference">Referenced by <a class="el" href="_splitter_layer_8cpp_source.html#l00021">SplitterLayer::CreateWorkload()</a>, <a class="el" href="_splitter_8cpp_source.html#l00021">armnn::Split()</a>, <a class="el" href="_splitter_8hpp_source.html#l00017">armnn::Splitter()</a>, and <a class="el" href="_workload_data_8cpp_source.html#l00746">SplitterQueueDescriptor::Validate()</a>.</p> +<p class="reference">Referenced by <a class="el" href="_splitter_layer_8cpp_source.html#l00022">SplitterLayer::CreateWorkload()</a>, <a class="el" href="_splitter_8cpp_source.html#l00020">armnn::Split()</a>, <a class="el" href="_splitter_8hpp_source.html#l00017">armnn::Splitter()</a>, and <a class="el" href="_workload_data_8cpp_source.html#l00748">SplitterQueueDescriptor::Validate()</a>.</p> </div> </div> @@ -313,7 +313,7 @@ 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_splitter_queue_descriptor.html">SplitterQueueDescriptor</a></li> - <li class="footer">Generated on Wed Feb 14 2024 16:36:25 for Arm NN by + <li class="footer">Generated on Thu May 16 2024 09:31:59 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> |