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<div class="title">RefLogicalBinaryWorkload.cpp</div>  </div>
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<a href="_ref_logical_binary_workload_8cpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment">// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;</div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_ref_logical_binary_workload_8hpp.xhtml">RefLogicalBinaryWorkload.hpp</a>&quot;</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;</div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_decoders_8hpp.xhtml">Decoders.hpp</a>&quot;</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_elementwise_function_8hpp.xhtml">ElementwiseFunction.hpp</a>&quot;</span></div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_encoders_8hpp.xhtml">Encoders.hpp</a>&quot;</span></div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_ref_workload_utils_8hpp.xhtml">RefWorkloadUtils.hpp</a>&quot;</span></div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;</div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_profiling_8hpp.xhtml">Profiling.hpp</a>&gt;</span></div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;</div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_types_utils_8hpp.xhtml">armnn/TypesUtils.hpp</a>&gt;</span></div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;</div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;{</div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;</div><div class="line"><a name="l00020"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_logical_binary_workload.xhtml#aaaab10df6dac47f0c9931594125a2039">   20</a></span>&#160;<a class="code" href="classarmnn_1_1_ref_logical_binary_workload.xhtml#aaaab10df6dac47f0c9931594125a2039">RefLogicalBinaryWorkload::RefLogicalBinaryWorkload</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_logical_binary_queue_descriptor.xhtml">LogicalBinaryQueueDescriptor</a>&amp; desc,</div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;                                                   <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>&amp; info)</div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;    : <a class="code" href="classarmnn_1_1_base_workload.xhtml">BaseWorkload</a>&lt;<a class="code" href="structarmnn_1_1_logical_binary_queue_descriptor.xhtml">LogicalBinaryQueueDescriptor</a>&gt;(desc, info)</div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;{}</div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;</div><div class="line"><a name="l00025"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_logical_binary_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">   25</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_ref_logical_binary_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">RefLogicalBinaryWorkload::PostAllocationConfigure</a>()</div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;{</div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; inputInfo0 = <a class="code" href="namespacearmnn.xhtml#af7ec4c0fa4375a45a70e4e31f3d8af47">GetTensorInfo</a>(<a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[0]);</div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; inputInfo1 = <a class="code" href="namespacearmnn.xhtml#af7ec4c0fa4375a45a70e4e31f3d8af47">GetTensorInfo</a>(<a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[1]);</div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; outputInfo = <a class="code" href="namespacearmnn.xhtml#af7ec4c0fa4375a45a70e4e31f3d8af47">GetTensorInfo</a>(<a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[0]);</div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;</div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;    m_Input0 = MakeDecoder&lt;InType&gt;(inputInfo0);</div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;    m_Input1 = MakeDecoder&lt;InType&gt;(inputInfo1);</div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;    m_Output = MakeEncoder&lt;OutType&gt;(outputInfo);</div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;}</div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;</div><div class="line"><a name="l00036"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_logical_binary_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">   36</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_ref_logical_binary_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefLogicalBinaryWorkload::Execute</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;    <a class="code" href="_profiling_8hpp.xhtml#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(<a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64">Compute::CpuRef</a>, <span class="stringliteral">&quot;RefLogicalBinaryWorkload_Execute&quot;</span>);</div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;</div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; inputInfo0 = <a class="code" href="namespacearmnn.xhtml#af7ec4c0fa4375a45a70e4e31f3d8af47">GetTensorInfo</a>(<a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[0]);</div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; inputInfo1 = <a class="code" href="namespacearmnn.xhtml#af7ec4c0fa4375a45a70e4e31f3d8af47">GetTensorInfo</a>(<a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[1]);</div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; outputInfo = <a class="code" href="namespacearmnn.xhtml#af7ec4c0fa4375a45a70e4e31f3d8af47">GetTensorInfo</a>(<a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[0]);</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;</div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; inShape0 = inputInfo0.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; inShape1 = inputInfo1.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; outShape = outputInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;    m_Input0-&gt;Reset(<a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[0]-&gt;Map());</div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;    m_Input1-&gt;Reset(<a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[1]-&gt;Map());</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;    m_Output-&gt;Reset(<a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[0]-&gt;Map());</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;</div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;    <span class="keyword">using</span> AndFunction = <a class="code" href="structarmnn_1_1_logical_binary_function.xhtml">LogicalBinaryFunction&lt;std::logical_and&lt;bool&gt;</a>&gt;;</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;    <span class="keyword">using</span> OrFunction  = <a class="code" href="structarmnn_1_1_logical_binary_function.xhtml">LogicalBinaryFunction&lt;std::logical_or&lt;bool&gt;</a>&gt;;</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;    <span class="keywordflow">switch</span> (<a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_logical_binary_descriptor.xhtml#a32c95d929d2e2e0fa7fc1a3a25865eb0">m_Operation</a>)</div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;    {</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a2da4db0140d1a6dc69c9c82e9ef5379ea103aa83df42877d5f9baeafdbf620b55">LogicalBinaryOperation::LogicalAnd</a>:</div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;        {</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;            AndFunction(inShape0, inShape1, outShape, *m_Input0, *m_Input1, *m_Output);</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;            <span class="keywordflow">break</span>;</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;        }</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a2da4db0140d1a6dc69c9c82e9ef5379ea74ce78827b02c650a20b149765388247">LogicalBinaryOperation::LogicalOr</a>:</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;        {</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;            OrFunction(inShape0, inShape1, outShape, *m_Input0, *m_Input1, *m_Output);</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;            <span class="keywordflow">break</span>;</div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;        }</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;        <span class="keywordflow">default</span>:</div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;        {</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;            <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(std::string(<span class="stringliteral">&quot;Unsupported Logical Binary operation&quot;</span>) +</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;                <a class="code" href="namespacearmnn.xhtml#a0ad431ff1600c845fda078ac58a47809">GetLogicalBinaryOperationAsCString</a>(<a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_logical_binary_descriptor.xhtml#a32c95d929d2e2e0fa7fc1a3a25865eb0">m_Operation</a>), <a class="code" href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;        }</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;    }</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;}</div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;} <span class="comment">// namespace armnn</span></div><div class="ttc" id="_elementwise_function_8hpp_xhtml"><div class="ttname"><a href="_elementwise_function_8hpp.xhtml">ElementwiseFunction.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape &amp; GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00187">Tensor.hpp:187</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64"><div class="ttname"><a href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64">armnn::Compute::CpuRef</a></div><div class="ttdoc">CPU Execution: Reference C++ kernels. </div></div>
<div class="ttc" id="_ref_workload_utils_8hpp_xhtml"><div class="ttname"><a href="_ref_workload_utils_8hpp.xhtml">RefWorkloadUtils.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a2da4db0140d1a6dc69c9c82e9ef5379ea103aa83df42877d5f9baeafdbf620b55"><div class="ttname"><a href="namespacearmnn.xhtml#a2da4db0140d1a6dc69c9c82e9ef5379ea103aa83df42877d5f9baeafdbf620b55">armnn::LogicalBinaryOperation::LogicalAnd</a></div></div>
<div class="ttc" id="structarmnn_1_1_logical_binary_function_xhtml"><div class="ttname"><a href="structarmnn_1_1_logical_binary_function.xhtml">armnn::LogicalBinaryFunction</a></div><div class="ttdef"><b>Definition:</b> <a href="_elementwise_function_8hpp_source.xhtml#l00041">ElementwiseFunction.hpp:41</a></div></div>
<div class="ttc" id="classarmnn_1_1_base_workload_xhtml_a0a487c549c63319505095b855ea3c195"><div class="ttname"><a href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">armnn::BaseWorkload&lt; LogicalBinaryQueueDescriptor &gt;::m_Data</a></div><div class="ttdeci">const LogicalBinaryQueueDescriptor m_Data</div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.xhtml#l00046">Workload.hpp:46</a></div></div>
<div class="ttc" id="_ref_logical_binary_workload_8hpp_xhtml"><div class="ttname"><a href="_ref_logical_binary_workload_8hpp.xhtml">RefLogicalBinaryWorkload.hpp</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors. </div><div class="ttdef"><b>Definition:</b> <a href="01__00__software__tools_8dox_source.xhtml#l00006">01_00_software_tools.dox:6</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div>
<div class="ttc" id="structarmnn_1_1_queue_descriptor_with_parameters_xhtml_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#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.xhtml#l00057">WorkloadData.hpp:57</a></div></div>
<div class="ttc" id="structarmnn_1_1_logical_binary_descriptor_xhtml_a32c95d929d2e2e0fa7fc1a3a25865eb0"><div class="ttname"><a href="structarmnn_1_1_logical_binary_descriptor.xhtml#a32c95d929d2e2e0fa7fc1a3a25865eb0">armnn::LogicalBinaryDescriptor::m_Operation</a></div><div class="ttdeci">LogicalBinaryOperation m_Operation</div><div class="ttdoc">Specifies the logical operation to execute. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01300">Descriptors.hpp:1300</a></div></div>
<div class="ttc" id="_profiling_8hpp_xhtml_a5ccc65e2c464ac05ce311fdae7ede03a"><div class="ttname"><a href="_profiling_8hpp.xhtml#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT(backendId, name)</div><div class="ttdef"><b>Definition:</b> <a href="_profiling_8hpp_source.xhtml#l00173">Profiling.hpp:173</a></div></div>
<div class="ttc" id="_encoders_8hpp_xhtml"><div class="ttname"><a href="_encoders_8hpp.xhtml">Encoders.hpp</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a0ad431ff1600c845fda078ac58a47809"><div class="ttname"><a href="namespacearmnn.xhtml#a0ad431ff1600c845fda078ac58a47809">armnn::GetLogicalBinaryOperationAsCString</a></div><div class="ttdeci">constexpr char const  * GetLogicalBinaryOperationAsCString(LogicalBinaryOperation operation)</div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8hpp_source.xhtml#l00085">TypesUtils.hpp:85</a></div></div>
<div class="ttc" id="_types_utils_8hpp_xhtml"><div class="ttname"><a href="_types_utils_8hpp.xhtml">TypesUtils.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_base_workload_xhtml"><div class="ttname"><a href="classarmnn_1_1_base_workload.xhtml">armnn::BaseWorkload</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.xhtml#l00028">Workload.hpp:28</a></div></div>
<div class="ttc" id="classarmnn_1_1_invalid_argument_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00080">Exceptions.hpp:80</a></div></div>
<div class="ttc" id="_decoders_8hpp_xhtml"><div class="ttname"><a href="_decoders_8hpp.xhtml">Decoders.hpp</a></div></div>
<div class="ttc" id="_exceptions_8hpp_xhtml_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00197">Exceptions.hpp:197</a></div></div>
<div class="ttc" id="structarmnn_1_1_logical_binary_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_logical_binary_queue_descriptor.xhtml">armnn::LogicalBinaryQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00666">WorkloadData.hpp:666</a></div></div>
<div class="ttc" id="structarmnn_1_1_queue_descriptor_xhtml_a6abd491bb99ffe88bd472c1ae5a1ed1a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.xhtml#a6abd491bb99ffe88bd472c1ae5a1ed1a">armnn::QueueDescriptor::m_Outputs</a></div><div class="ttdeci">std::vector&lt; ITensorHandle * &gt; m_Outputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00031">WorkloadData.hpp:31</a></div></div>
<div class="ttc" id="classarmnn_1_1_ref_logical_binary_workload_xhtml_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classarmnn_1_1_ref_logical_binary_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">armnn::RefLogicalBinaryWorkload::Execute</a></div><div class="ttdeci">virtual void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_logical_binary_workload_8cpp_source.xhtml#l00036">RefLogicalBinaryWorkload.cpp:36</a></div></div>
<div class="ttc" id="structarmnn_1_1_workload_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about inputs and outputs to a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div>
<div class="ttc" id="classarmnn_1_1_ref_logical_binary_workload_xhtml_aaaab10df6dac47f0c9931594125a2039"><div class="ttname"><a href="classarmnn_1_1_ref_logical_binary_workload.xhtml#aaaab10df6dac47f0c9931594125a2039">armnn::RefLogicalBinaryWorkload::RefLogicalBinaryWorkload</a></div><div class="ttdeci">RefLogicalBinaryWorkload(const LogicalBinaryQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info)</div><div class="ttdef"><b>Definition:</b> <a href="_ref_logical_binary_workload_8cpp_source.xhtml#l00020">RefLogicalBinaryWorkload.cpp:20</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a2da4db0140d1a6dc69c9c82e9ef5379ea74ce78827b02c650a20b149765388247"><div class="ttname"><a href="namespacearmnn.xhtml#a2da4db0140d1a6dc69c9c82e9ef5379ea74ce78827b02c650a20b149765388247">armnn::LogicalBinaryOperation::LogicalOr</a></div></div>
<div class="ttc" id="structarmnn_1_1_queue_descriptor_xhtml_a4b50e46a6810018f3edecfb68b2a76b3"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">armnn::QueueDescriptor::m_Inputs</a></div><div class="ttdeci">std::vector&lt; ITensorHandle * &gt; m_Inputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00030">WorkloadData.hpp:30</a></div></div>
<div class="ttc" id="classarmnn_1_1_ref_logical_binary_workload_xhtml_a81627f96ba06d76e147f7d392a8117ed"><div class="ttname"><a href="classarmnn_1_1_ref_logical_binary_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">armnn::RefLogicalBinaryWorkload::PostAllocationConfigure</a></div><div class="ttdeci">void PostAllocationConfigure() override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_logical_binary_workload_8cpp_source.xhtml#l00025">RefLogicalBinaryWorkload.cpp:25</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_af7ec4c0fa4375a45a70e4e31f3d8af47"><div class="ttname"><a href="namespacearmnn.xhtml#af7ec4c0fa4375a45a70e4e31f3d8af47">armnn::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo &amp; GetTensorInfo(const ITensorHandle *tensorHandle)</div><div class="ttdoc">float32 helpers </div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_utils_8hpp_source.xhtml#l00026">RefWorkloadUtils.hpp:26</a></div></div>
<div class="ttc" id="_profiling_8hpp_xhtml"><div class="ttname"><a href="_profiling_8hpp.xhtml">Profiling.hpp</a></div></div>
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