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<a href="_neon_resize_workload_8cpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> </div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#include "<a class="code" href="_neon_resize_workload_8hpp.html">NeonResizeWorkload.hpp</a>"</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> </div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include "<a class="code" href="_neon_workload_utils_8hpp.html">NeonWorkloadUtils.hpp</a>"</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> </div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_arm_compute_utils_8hpp.html">aclCommon/ArmComputeUtils.hpp</a>></span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="_arm_compute_tensor_utils_8hpp.html">aclCommon/ArmComputeTensorUtils.hpp</a>></span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include <<a class="code" href="_cpu_tensor_handle_8hpp.html">backendsCommon/CpuTensorHandle.hpp</a>></span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include <<a class="code" href="_neon_tensor_handle_8hpp.html">neon/NeonTensorHandle.hpp</a>></span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> </div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="keyword">using namespace </span><a class="code" href="namespacearmnn_1_1armcomputetensorutils.html">armnn::armcomputetensorutils</a>;</div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> </div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> {</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> </div><div class="line"><a name="l00020"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a552d65f4e0a6c9e7c7796e77590063e9"> 20</a></span> <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> <a class="code" href="namespacearmnn.html#a552d65f4e0a6c9e7c7796e77590063e9">NeonResizeWorkloadValidate</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input,</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output,</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_resize_descriptor.html">ResizeDescriptor</a>& descriptor)</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> {</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input);</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output);</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> </div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">arm_compute::DataLayout</a> aclDataLayout = ConvertDataLayout(descriptor.<a class="code" href="structarmnn_1_1_resize_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>);</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  aclInputInfo.set_data_layout(aclDataLayout);</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  aclOutputInfo.set_data_layout(aclDataLayout);</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> </div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  arm_compute::InterpolationPolicy aclInterpolationPolicy =</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <a class="code" href="namespacearmnn.html#ae9bdcb8ac91731109dc423d6ed476204">ConvertResizeMethodToAclInterpolationPolicy</a>(descriptor.<a class="code" href="structarmnn_1_1_resize_descriptor.html#a869254cb56968986a78a79e1d6d4a86b">m_Method</a>);</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> </div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <span class="keywordflow">return</span> arm_compute::NEScale::validate(&aclInputInfo,</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  &aclOutputInfo,</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  aclInterpolationPolicy,</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  arm_compute::BorderMode::REPLICATE,</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  arm_compute::PixelValue(0.f),</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  arm_compute::SamplingPolicy::TOP_LEFT);</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> }</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> </div><div class="line"><a name="l00042"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_resize_workload.html#acb5c45db124d15363bc59527a3758352"> 42</a></span> <a class="code" href="classarmnn_1_1_neon_resize_workload.html#acb5c45db124d15363bc59527a3758352">NeonResizeWorkload::NeonResizeWorkload</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_resize_queue_descriptor.html">ResizeQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  : <a class="code" href="classarmnn_1_1_base_workload.html">BaseWorkload</a><<a class="code" href="structarmnn_1_1_resize_queue_descriptor.html">ResizeQueueDescriptor</a>>(descriptor, info)</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> {</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a765d2cee4ccce5b9467e0c2b6d25b84a">ValidateInputsOutputs</a>(<span class="stringliteral">"NeonResizeWorkload"</span>, 1, 1);</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> </div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  arm_compute::ITensor& input = boost::polymorphic_downcast<IAclTensorHandle*>(<a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[0])->GetTensor();</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  arm_compute::ITensor& output = boost::polymorphic_downcast<IAclTensorHandle*>(<a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[0])->GetTensor();</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> </div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">arm_compute::DataLayout</a> aclDataLayout = ConvertDataLayout(<a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_resize_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>);</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  input.info()->set_data_layout(aclDataLayout);</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  output.info()->set_data_layout(aclDataLayout);</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> </div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  arm_compute::InterpolationPolicy aclInterpolationPolicy =</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <a class="code" href="namespacearmnn.html#ae9bdcb8ac91731109dc423d6ed476204">ConvertResizeMethodToAclInterpolationPolicy</a>(descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_resize_descriptor.html#a869254cb56968986a78a79e1d6d4a86b">m_Method</a>);</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> </div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  m_ResizeLayer.configure(&input,</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  &output,</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  aclInterpolationPolicy,</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  arm_compute::BorderMode::REPLICATE,</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  arm_compute::PixelValue(0.f),</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  arm_compute::SamplingPolicy::TOP_LEFT,</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keyword">true</span>,</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_resize_descriptor.html#a4772ee9cfc371989df220a73fb0a0b54">m_BilinearAlignCorners</a>);</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> };</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> </div><div class="line"><a name="l00068"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_resize_workload.html#ae071e8822437c78baea75c3aef3a263a"> 68</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_neon_resize_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonResizeWorkload::Execute</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="keyword"></span>{</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <a class="code" href="_neon_workload_utils_8hpp.html#a8bf91fd5e5875631bcf6abbcd97fe2f4">ARMNN_SCOPED_PROFILING_EVENT_NEON</a>(<span class="stringliteral">"NeonResizeWorkload_Execute"</span>);</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  m_ResizeLayer.run();</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> }</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> </div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> } <span class="comment">//namespace armnn</span></div><div class="ttc" id="_neon_tensor_handle_8hpp_html"><div class="ttname"><a href="_neon_tensor_handle_8hpp.html">NeonTensorHandle.hpp</a></div></div>
<div class="ttc" id="namespacearmnn_html_a67a0db04d321a74b7e7fcfd3f1a3f70b"><div class="ttname"><a href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">armnn::Status</a></div><div class="ttdeci">Status</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00026">Types.hpp:26</a></div></div>
<div class="ttc" id="_neon_workload_utils_8hpp_html_a8bf91fd5e5875631bcf6abbcd97fe2f4"><div class="ttname"><a href="_neon_workload_utils_8hpp.html#a8bf91fd5e5875631bcf6abbcd97fe2f4">ARMNN_SCOPED_PROFILING_EVENT_NEON</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT_NEON(name)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_workload_utils_8hpp_source.html#l00017">NeonWorkloadUtils.hpp:17</a></div></div>
<div class="ttc" id="namespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
<div class="ttc" id="namespacearmnn_html_ae9bdcb8ac91731109dc423d6ed476204"><div class="ttname"><a href="namespacearmnn.html#ae9bdcb8ac91731109dc423d6ed476204">armnn::ConvertResizeMethodToAclInterpolationPolicy</a></div><div class="ttdeci">arm_compute::InterpolationPolicy ConvertResizeMethodToAclInterpolationPolicy(ResizeMethod resizeMethod)</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.html#l00125">ArmComputeUtils.hpp:125</a></div></div>
<div class="ttc" id="structarmnn_1_1_queue_descriptor_with_parameters_html_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00049">WorkloadData.hpp:49</a></div></div>
<div class="ttc" id="namespacearmnn_1_1armcomputetensorutils_html"><div class="ttname"><a href="namespacearmnn_1_1armcomputetensorutils.html">armnn::armcomputetensorutils</a></div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_tensor_utils_8cpp_source.html#l00013">ArmComputeTensorUtils.cpp:13</a></div></div>
<div class="ttc" id="classarmnn_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#l00053">Tensor.hpp:53</a></div></div>
<div class="ttc" id="structarmnn_1_1_resize_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.html#a6089e1ca91914015777ea780a513131a">armnn::ResizeDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00751">Descriptors.hpp:751</a></div></div>
<div class="ttc" id="structarmnn_1_1_resize_descriptor_html_a869254cb56968986a78a79e1d6d4a86b"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.html#a869254cb56968986a78a79e1d6d4a86b">armnn::ResizeDescriptor::m_Method</a></div><div class="ttdeci">ResizeMethod m_Method</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00749">Descriptors.hpp:749</a></div></div>
<div class="ttc" id="_neon_workload_utils_8hpp_html"><div class="ttname"><a href="_neon_workload_utils_8hpp.html">NeonWorkloadUtils.hpp</a></div></div>
<div class="ttc" id="structarmnn_1_1_workload_info_html"><div class="ttname"><a href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.html#l00016">WorkloadInfo.hpp:16</a></div></div>
<div class="ttc" id="_neon_resize_workload_8hpp_html"><div class="ttname"><a href="_neon_resize_workload_8hpp.html">NeonResizeWorkload.hpp</a></div></div>
<div class="ttc" id="structarmnn_1_1_resize_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_resize_queue_descriptor.html">armnn::ResizeQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00292">WorkloadData.hpp:292</a></div></div>
<div class="ttc" id="_arm_compute_tensor_utils_8hpp_html"><div class="ttname"><a href="_arm_compute_tensor_utils_8hpp.html">ArmComputeTensorUtils.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_base_workload_html_a0a487c549c63319505095b855ea3c195"><div class="ttname"><a href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">armnn::BaseWorkload< ResizeQueueDescriptor >::m_Data</a></div><div class="ttdeci">const ResizeQueueDescriptor m_Data</div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.html#l00046">Workload.hpp:46</a></div></div>
<div class="ttc" id="namespacearmnn_html_a552d65f4e0a6c9e7c7796e77590063e9"><div class="ttname"><a href="namespacearmnn.html#a552d65f4e0a6c9e7c7796e77590063e9">armnn::NeonResizeWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonResizeWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const ResizeDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_resize_workload_8cpp_source.html#l00020">NeonResizeWorkload.cpp:20</a></div></div>
<div class="ttc" id="classarmnn_1_1_neon_resize_workload_html_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classarmnn_1_1_neon_resize_workload.html#ae071e8822437c78baea75c3aef3a263a">armnn::NeonResizeWorkload::Execute</a></div><div class="ttdeci">void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_resize_workload_8cpp_source.html#l00068">NeonResizeWorkload.cpp:68</a></div></div>
<div class="ttc" id="namespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8hpp_source.html#l00011">BackendHelper.hpp:11</a></div></div>
<div class="ttc" id="structarmnn_1_1_queue_descriptor_html_a765d2cee4ccce5b9467e0c2b6d25b84a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a765d2cee4ccce5b9467e0c2b6d25b84a">armnn::QueueDescriptor::ValidateInputsOutputs</a></div><div class="ttdeci">void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l00459">WorkloadData.cpp:459</a></div></div>
<div class="ttc" id="_arm_compute_utils_8hpp_html"><div class="ttname"><a href="_arm_compute_utils_8hpp.html">ArmComputeUtils.hpp</a></div></div>
<div class="ttc" id="namespacearmnn_html_ad1d5cce2d9e9a5d61c243e5c989112e0"><div class="ttname"><a href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a></div><div class="ttdeci">DataLayout</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00048">Types.hpp:48</a></div></div>
<div class="ttc" id="_cpu_tensor_handle_8hpp_html"><div class="ttname"><a href="_cpu_tensor_handle_8hpp.html">CpuTensorHandle.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_neon_resize_workload_html_acb5c45db124d15363bc59527a3758352"><div class="ttname"><a href="classarmnn_1_1_neon_resize_workload.html#acb5c45db124d15363bc59527a3758352">armnn::NeonResizeWorkload::NeonResizeWorkload</a></div><div class="ttdeci">NeonResizeWorkload(const ResizeQueueDescriptor &descriptor, const WorkloadInfo &info)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_resize_workload_8cpp_source.html#l00042">NeonResizeWorkload.cpp:42</a></div></div>
<div class="ttc" id="structarmnn_1_1_queue_descriptor_html_a6abd491bb99ffe88bd472c1ae5a1ed1a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">armnn::QueueDescriptor::m_Outputs</a></div><div class="ttdeci">std::vector< ITensorHandle * > m_Outputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00031">WorkloadData.hpp:31</a></div></div>
<div class="ttc" id="structarmnn_1_1_queue_descriptor_html_a4b50e46a6810018f3edecfb68b2a76b3"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">armnn::QueueDescriptor::m_Inputs</a></div><div class="ttdeci">std::vector< ITensorHandle * > m_Inputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00030">WorkloadData.hpp:30</a></div></div>
<div class="ttc" id="structarmnn_1_1_resize_descriptor_html_a4772ee9cfc371989df220a73fb0a0b54"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.html#a4772ee9cfc371989df220a73fb0a0b54">armnn::ResizeDescriptor::m_BilinearAlignCorners</a></div><div class="ttdeci">bool m_BilinearAlignCorners</div><div class="ttdoc">Aligned corners for bilinear method. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00753">Descriptors.hpp:753</a></div></div>
<div class="ttc" id="structarmnn_1_1_resize_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.html">armnn::ResizeDescriptor</a></div><div class="ttdoc">A ResizeDescriptor for the ResizeLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00724">Descriptors.hpp:724</a></div></div>
<div class="ttc" id="classarmnn_1_1_base_workload_html"><div class="ttname"><a href="classarmnn_1_1_base_workload.html">armnn::BaseWorkload</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.html#l00028">Workload.hpp:28</a></div></div>
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