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Nikhil Raj1dc83fe2024-05-16 09:47:51 +0100[diff] [blame]39 &#160;<span id="projectnumber">24.05</span>
Nikhil Raj6f92c8e2023-11-22 11:41:15 +0000[diff] [blame]40 </div>
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96<div class="title">NeonFusedWorkload.cpp</div> </div>
97</div><!--header-->
98<div class="contents">
99<a href="_neon_fused_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>&#160;<span class="comment">//</span></div>
100<div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment">// Copyright © 2023 Arm Ltd and Contributors. All rights reserved.</span></div>
101<div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div>
102<div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment">//</span></div>
103<div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160; </div>
104<div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_neon_fused_workload_8hpp.html">NeonFusedWorkload.hpp</a>&quot;</span></div>
105<div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_neon_workload_utils_8hpp.html">NeonWorkloadUtils.hpp</a>&quot;</span></div>
106<div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160; </div>
107<div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_arm_compute_tensor_utils_8hpp.html">aclCommon/ArmComputeTensorUtils.hpp</a>&gt;</span></div>
108<div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_arm_compute_utils_8hpp.html">aclCommon/ArmComputeUtils.hpp</a>&gt;</span></div>
109<div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160; </div>
110<div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_polymorphic_downcast_8hpp.html">armnn/utility/PolymorphicDowncast.hpp</a>&gt;</span></div>
111<div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_tensor_handle_8hpp.html">armnn/backends/TensorHandle.hpp</a>&gt;</span></div>
112<div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160; </div>
113<div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="preprocessor">#include &lt;arm_compute/runtime/NEON/functions/NEAddMulAdd.h&gt;</span></div>
114<div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160; </div>
115<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div>
116<div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;{</div>
117<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160; </div>
118<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;<span class="keyword">using namespace </span>armcomputetensorutils;</div>
119<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160; </div>
120<div class="line"><a name="l00022"></a><span class="lineno"><a class="line" href="namespacearmnn.html#abfdd58b11ca2986bb45fc25ba4514347"> 22</a></span>&#160;<a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> <a class="code" href="namespacearmnn.html#abfdd58b11ca2986bb45fc25ba4514347">NeonFusedWorkloadValidate</a>(<span class="keyword">const</span> std::vector&lt;std::reference_wrapper&lt;TensorInfo&gt;&gt;&amp; inputInfos,</div>
121<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160; <span class="keyword">const</span> std::vector&lt;std::reference_wrapper&lt;TensorInfo&gt;&gt;&amp; outputInfos,</div>
122<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_fused_descriptor.html">FusedDescriptor</a>&amp; fusedDescriptor,</div>
123<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_activation_descriptor.html">ActivationDescriptor</a>* activationDescriptor)</div>
124<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;{</div>
125<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; std::vector&lt;arm_compute::TensorInfo&gt; actInputInfos;</div>
126<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; actInputInfos.reserve(inputInfos.size());</div>
127<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0u; i &lt; inputInfos.size(); ++i)</div>
128<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; {</div>
129<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; actInputInfos.emplace_back(BuildArmComputeTensorInfo(inputInfos[i]));</div>
130<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; }</div>
131<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; </div>
132<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; std::vector&lt;arm_compute::TensorInfo&gt; actOutputInfos;</div>
133<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; actOutputInfos.reserve(outputInfos.size());</div>
134<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0u; i &lt; outputInfos.size(); ++i)</div>
135<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; {</div>
136<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; actOutputInfos.emplace_back(BuildArmComputeTensorInfo(outputInfos[i]));</div>
137<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; }</div>
138<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; </div>
139<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; <span class="keyword">const</span> arm_compute::ActivationLayerInfo activationInfo =</div>
140<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; <a class="code" href="namespacearmnn.html#ad701d0d29baa4266ab4d33b090aa661c">ConvertActivationDescriptorToAclActivationLayerInfo</a>(activationDescriptor);</div>
141<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; </div>
142<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; <span class="keywordflow">switch</span> (fusedDescriptor.<a class="code" href="structarmnn_1_1_fused_descriptor.html#a730e4445e04517da4683e7d98ddcee39">m_FusedKernelType</a>)</div>
143<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; {</div>
144<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a52d63dc326ef2e2d373217b84ac4a402a6708d958187e663fd689cdad2b55b818">FusedKernelType::AddMulAdd</a>:</div>
145<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; <span class="keywordflow">return</span> arm_compute::NEAddMulAdd::validate(</div>
146<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; &amp;actInputInfos[0],</div>
147<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; &amp;actInputInfos[1],</div>
148<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; &amp;actInputInfos[2], <span class="comment">// bn_mul</span></div>
149<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; &amp;actInputInfos[3], <span class="comment">// bn_add</span></div>
150<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; actOutputInfos.size() == 1 ? <span class="keyword">nullptr</span> : &amp;actOutputInfos[0], <span class="comment">// add_output</span></div>
151<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; actOutputInfos.size() == 1 ? &amp;actOutputInfos[0] : &amp;actOutputInfos[1], <span class="comment">// final_output</span></div>
152<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; arm_compute::ConvertPolicy::SATURATE,</div>
153<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; activationInfo);</div>
154<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; <span class="keywordflow">default</span>:</div>
155<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a>{arm_compute::ErrorCode::RUNTIME_ERROR,</div>
156<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; <span class="stringliteral">&quot;NeonFusedWorkloadValidate: no valid kernel type&quot;</span>};</div>
157<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; }</div>
158<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160;}</div>
159<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; </div>
160<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; </div>
161<div class="line"><a name="l00063"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_fused_workload.html#a9edac81c13f67be246e332ac50b328e5"> 63</a></span>&#160;<a class="code" href="classarmnn_1_1_neon_fused_workload.html#a9edac81c13f67be246e332ac50b328e5">NeonFusedWorkload::NeonFusedWorkload</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_fused_queue_descriptor.html">FusedQueueDescriptor</a>&amp; descriptor, <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>&amp; info)</div>
162<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; : <a class="code" href="classarmnn_1_1_neon_base_workload.html">NeonBaseWorkload</a>&lt;<a class="code" href="structarmnn_1_1_fused_queue_descriptor.html">FusedQueueDescriptor</a>&gt;(descriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)</div>
163<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160;{</div>
164<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a765d2cee4ccce5b9467e0c2b6d25b84a">ValidateInputsOutputs</a>(<span class="stringliteral">&quot;NeonFusedWorkload&quot;</span>,</div>
165<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; <span class="keyword">static_cast&lt;</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">&gt;</span>(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos.size()),</div>
166<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; <span class="keyword">static_cast&lt;</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">&gt;</span>(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_OutputTensorInfos.size()));</div>
167<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; </div>
168<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; std::vector&lt;arm_compute::ITensor*&gt; inputs;</div>
169<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; inputs.reserve(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos.size());</div>
170<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span> input : <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>)</div>
171<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; {</div>
172<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; inputs.emplace_back(&amp;PolymorphicDowncast&lt;IAclTensorHandle*&gt;(input)-&gt;GetTensor());</div>
173<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; }</div>
174<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; </div>
175<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; std::vector&lt;arm_compute::ITensor*&gt; outputs;</div>
176<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; outputs.reserve(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_OutputTensorInfos.size());</div>
177<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span> output : <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>)</div>
178<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; {</div>
179<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; outputs.emplace_back(&amp;PolymorphicDowncast&lt;IAclTensorHandle*&gt;(output)-&gt;GetTensor());</div>
180<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; }</div>
181<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; </div>
182<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; <span class="keyword">const</span> arm_compute::ActivationLayerInfo activationInfo =</div>
183<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; <a class="code" href="namespacearmnn.html#abfb0841058a8190d30851f07eca3991f">ConvertAdditionalInfoToAclActivationLayerInfo</a>(descriptor);</div>
184<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; </div>
185<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; <span class="keywordflow">switch</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_fused_descriptor.html#a730e4445e04517da4683e7d98ddcee39">m_FusedKernelType</a>)</div>
186<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; {</div>
187<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a52d63dc326ef2e2d373217b84ac4a402a6708d958187e663fd689cdad2b55b818">FusedKernelType::AddMulAdd</a>:</div>
188<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; {</div>
189<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; <span class="keyword">auto</span> layer = std::make_unique&lt;arm_compute::NEAddMulAdd&gt;();</div>
190<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; layer-&gt;configure(inputs[0],</div>
191<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; inputs[1],</div>
192<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; inputs[2], <span class="comment">// bn_mul</span></div>
193<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; inputs[3], <span class="comment">// bn_add</span></div>
194<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; outputs.size() == 1 ? <span class="keyword">nullptr</span> : outputs[0], <span class="comment">// add_output</span></div>
195<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; outputs.size() == 1 ? outputs[0] : outputs[1], <span class="comment">// final_output</span></div>
196<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; arm_compute::ConvertPolicy::SATURATE,</div>
197<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; activationInfo);</div>
198<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; m_FusedLayer.reset(layer.release());</div>
199<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; <span class="keywordflow">break</span>;</div>
200<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; }</div>
201<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; <span class="keywordflow">default</span>:</div>
202<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">Exception</a>(<span class="stringliteral">&quot;NeonFusedWorkload: no valid kernel type.&quot;</span>);</div>
203<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; }</div>
204<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160;}</div>
205<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; </div>
206<div class="line"><a name="l00108"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_fused_workload.html#ae071e8822437c78baea75c3aef3a263a"> 108</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_neon_fused_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonFusedWorkload::Execute</a>()<span class="keyword"> const</span></div>
207<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160;<span class="keyword"></span>{</div>
208<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; <a class="code" href="_neon_workload_utils_8hpp.html#a9165e41bcaf1b90f9ff91ef681e88c4f">ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID</a>(<span class="stringliteral">&quot;NeonFusedWorkload_Execute&quot;</span>, this-&gt;<a class="code" href="classarmnn_1_1_base_workload.html#aaff95a48875d8fb4a616352906660ca9">GetGuid</a>());</div>
209<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; m_FusedLayer-&gt;run();</div>
210<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160;}</div>
211<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; </div>
212<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160;} <span class="comment">//namespace armnn</span></div>
213<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; </div>
214</div><!-- fragment --></div><!-- contents -->
215</div><!-- doc-content -->
216<div class="ttc" id="astructarmnn_1_1_activation_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.html">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00036">Descriptors.hpp:36</a></div></div>
217<div class="ttc" id="astructarmnn_1_1_fused_descriptor_html_a730e4445e04517da4683e7d98ddcee39"><div class="ttname"><a href="structarmnn_1_1_fused_descriptor.html#a730e4445e04517da4683e7d98ddcee39">armnn::FusedDescriptor::m_FusedKernelType</a></div><div class="ttdeci">FusedKernelType m_FusedKernelType</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00961">Descriptors.hpp:961</a></div></div>
218<div class="ttc" id="a_neon_fused_workload_8hpp_html"><div class="ttname"><a href="_neon_fused_workload_8hpp.html">NeonFusedWorkload.hpp</a></div></div>
219<div class="ttc" id="aclassarmnn_1_1_neon_fused_workload_html_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classarmnn_1_1_neon_fused_workload.html#ae071e8822437c78baea75c3aef3a263a">armnn::NeonFusedWorkload::Execute</a></div><div class="ttdeci">virtual void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_fused_workload_8cpp_source.html#l00108">NeonFusedWorkload.cpp:108</a></div></div>
Nikhil Raj1dc83fe2024-05-16 09:47:51 +0100[diff] [blame]220<div class="ttc" id="astructarmnn_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 &amp;descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l00447">WorkloadData.cpp:447</a></div></div>
Nikhil Raj6f92c8e2023-11-22 11:41:15 +0000[diff] [blame]221<div class="ttc" id="anamespacearmnn_html_abfb0841058a8190d30851f07eca3991f"><div class="ttname"><a href="namespacearmnn.html#abfb0841058a8190d30851f07eca3991f">armnn::ConvertAdditionalInfoToAclActivationLayerInfo</a></div><div class="ttdeci">arm_compute::ActivationLayerInfo ConvertAdditionalInfoToAclActivationLayerInfo(const QueueDescriptor &amp;queueDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.html#l00105">ArmComputeUtils.hpp:105</a></div></div>
222<div class="ttc" id="astructarmnn_1_1_fused_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_fused_queue_descriptor.html">armnn::FusedQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00185">WorkloadData.hpp:185</a></div></div>
223<div class="ttc" id="anamespacearmnn_html_a52d63dc326ef2e2d373217b84ac4a402a6708d958187e663fd689cdad2b55b818"><div class="ttname"><a href="namespacearmnn.html#a52d63dc326ef2e2d373217b84ac4a402a6708d958187e663fd689cdad2b55b818">armnn::FusedKernelType::AddMulAdd</a></div><div class="ttdeci">@ AddMulAdd</div></div>
Nikhil Raj1dc83fe2024-05-16 09:47:51 +0100[diff] [blame]224<div class="ttc" id="a_neon_workload_utils_8hpp_html_a9165e41bcaf1b90f9ff91ef681e88c4f"><div class="ttname"><a href="_neon_workload_utils_8hpp.html#a9165e41bcaf1b90f9ff91ef681e88c4f">ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID(name, guid)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_workload_utils_8hpp_source.html#l00025">NeonWorkloadUtils.hpp:25</a></div></div>
Nikhil Raj6f92c8e2023-11-22 11:41:15 +0000[diff] [blame]225<div class="ttc" id="astructarmnn_1_1_fused_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_fused_descriptor.html">armnn::FusedDescriptor</a></div><div class="ttdoc">A FusedDescriptor for the FusedLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00944">Descriptors.hpp:944</a></div></div>
226<div class="ttc" id="astructarmnn_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#l00066">WorkloadData.hpp:66</a></div></div>
227<div class="ttc" id="astructarmnn_1_1_workload_info_html"><div class="ttname"><a href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about TensorInfos of a layer.</div><div class="ttdef"><b>Definition:</b> <a href="_workload_info_8hpp_source.html#l00016">WorkloadInfo.hpp:16</a></div></div>
228<div class="ttc" id="a_polymorphic_downcast_8hpp_html"><div class="ttname"><a href="_polymorphic_downcast_8hpp.html">PolymorphicDowncast.hpp</a></div></div>
229<div class="ttc" id="aclassarmnn_1_1_neon_fused_workload_html_a9edac81c13f67be246e332ac50b328e5"><div class="ttname"><a href="classarmnn_1_1_neon_fused_workload.html#a9edac81c13f67be246e332ac50b328e5">armnn::NeonFusedWorkload::NeonFusedWorkload</a></div><div class="ttdeci">NeonFusedWorkload(const FusedQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_fused_workload_8cpp_source.html#l00063">NeonFusedWorkload.cpp:63</a></div></div>
230<div class="ttc" id="a_arm_compute_utils_8hpp_html"><div class="ttname"><a href="_arm_compute_utils_8hpp.html">ArmComputeUtils.hpp</a></div></div>
231<div class="ttc" id="aclassarmnn_1_1_exception_html"><div class="ttname"><a href="classarmnn_1_1_exception.html">armnn::Exception</a></div><div class="ttdoc">Base class for all ArmNN exceptions so that users can filter to just those.</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00046">Exceptions.hpp:46</a></div></div>
232<div class="ttc" id="anamespacearmnn_html_ad701d0d29baa4266ab4d33b090aa661c"><div class="ttname"><a href="namespacearmnn.html#ad701d0d29baa4266ab4d33b090aa661c">armnn::ConvertActivationDescriptorToAclActivationLayerInfo</a></div><div class="ttdeci">arm_compute::ActivationLayerInfo ConvertActivationDescriptorToAclActivationLayerInfo(const ActivationDescriptor &amp;actDesc)</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.html#l00087">ArmComputeUtils.hpp:87</a></div></div>
233<div class="ttc" id="anamespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div><div class="ttdeci">@ info</div></div>
234<div class="ttc" id="astructarmnn_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&lt; ITensorHandle * &gt; m_Outputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00027">WorkloadData.hpp:27</a></div></div>
235<div class="ttc" id="aclassarmnn_1_1_base_workload_html_aaff95a48875d8fb4a616352906660ca9"><div class="ttname"><a href="classarmnn_1_1_base_workload.html#aaff95a48875d8fb4a616352906660ca9">armnn::BaseWorkload&lt; FusedQueueDescriptor &gt;::GetGuid</a></div><div class="ttdeci">arm::pipe::ProfilingGuid GetGuid() const final</div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.html#l00067">Workload.hpp:67</a></div></div>
236<div class="ttc" id="a_tensor_handle_8hpp_html"><div class="ttname"><a href="_tensor_handle_8hpp.html">TensorHandle.hpp</a></div></div>
237<div class="ttc" id="anamespacearmnn_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#l00042">Types.hpp:42</a></div></div>
238<div class="ttc" id="aclassarmnn_1_1_base_workload_html_afb8d2c8817c75de9d01a4c0e0d5c160b"><div class="ttname"><a href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">armnn::BaseWorkload&lt; FusedQueueDescriptor &gt;::m_Data</a></div><div class="ttdeci">FusedQueueDescriptor m_Data</div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.html#l00089">Workload.hpp:89</a></div></div>
239<div class="ttc" id="anamespacearmnn_html_abfdd58b11ca2986bb45fc25ba4514347"><div class="ttname"><a href="namespacearmnn.html#abfdd58b11ca2986bb45fc25ba4514347">armnn::NeonFusedWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonFusedWorkloadValidate(const std::vector&lt; std::reference_wrapper&lt; TensorInfo &gt;&gt; &amp;inputInfos, const std::vector&lt; std::reference_wrapper&lt; TensorInfo &gt;&gt; &amp;outputInfos, const FusedDescriptor &amp;fusedDescriptor, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_fused_workload_8cpp_source.html#l00022">NeonFusedWorkload.cpp:22</a></div></div>
240<div class="ttc" id="a_neon_workload_utils_8hpp_html"><div class="ttname"><a href="_neon_workload_utils_8hpp.html">NeonWorkloadUtils.hpp</a></div></div>
241<div class="ttc" id="anamespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors.</div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.html#l00006">01_00_quick_start.dox:6</a></div></div>
242<div class="ttc" id="a_arm_compute_tensor_utils_8hpp_html"><div class="ttname"><a href="_arm_compute_tensor_utils_8hpp.html">ArmComputeTensorUtils.hpp</a></div></div>
243<div class="ttc" id="aclassarmnn_1_1_neon_base_workload_html"><div class="ttname"><a href="classarmnn_1_1_neon_base_workload.html">armnn::NeonBaseWorkload</a></div><div class="ttdef"><b>Definition:</b> <a href="_neon_base_workload_8hpp_source.html#l00013">NeonBaseWorkload.hpp:13</a></div></div>
244<div class="ttc" id="astructarmnn_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&lt; ITensorHandle * &gt; m_Inputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00026">WorkloadData.hpp:26</a></div></div>
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247 <ul>
248 <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.html">src</a></li><li class="navelem"><a class="el" href="dir_0f3cdec46afbc61a1ded8e1687c9c9a0.html">backends</a></li><li class="navelem"><a class="el" href="dir_d86eb514662c7c08e168285f21d00ea1.html">neon</a></li><li class="navelem"><a class="el" href="dir_369c3c20501d0d10bd0354bf11c2f559.html">workloads</a></li><li class="navelem"><a class="el" href="_neon_fused_workload_8cpp.html">NeonFusedWorkload.cpp</a></li>
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