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Nikhil Raj1dc83fe2024-05-16 09:47:51 +0100[diff] [blame]39 &#160;<span id="projectnumber">24.05</span>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]40 </div>
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96<div class="title">ClDepthwiseConvolutionWorkload.cpp</div> </div>
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98<div class="contents">
99<a href="_cl_depthwise_convolution_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>
Nikhil Raj1dc83fe2024-05-16 09:47:51 +0100[diff] [blame]100<div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment">// Copyright © 2017-2024 Arm Ltd and Contributors. All rights reserved.</span></div>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]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="_cl_depthwise_convolution_workload_8hpp.html">ClDepthwiseConvolutionWorkload.hpp</a>&quot;</span></div>
105<div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160; </div>
106<div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_resolve_type_8hpp.html">ResolveType.hpp</a>&gt;</span></div>
107<div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_workload_utils_8hpp.html">ClWorkloadUtils.hpp</a>&quot;</span></div>
108<div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160; </div>
109<div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_exceptions_8hpp.html">armnn/Exceptions.hpp</a>&gt;</span></div>
110<div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_arm_compute_utils_8hpp.html">aclCommon/ArmComputeUtils.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="_arm_compute_tensor_utils_8hpp.html">aclCommon/ArmComputeTensorUtils.hpp</a>&gt;</span></div>
112<div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_cl_tensor_handle_8hpp.html">cl/ClTensorHandle.hpp</a>&gt;</span></div>
113<div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_tensor_handle_8hpp.html">armnn/backends/TensorHandle.hpp</a>&gt;</span></div>
114<div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_workload_utils_8hpp.html">backendsCommon/WorkloadUtils.hpp</a>&gt;</span></div>
115<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_workload_data_8hpp.html">armnn/backends/WorkloadData.hpp</a>&gt;</span></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;<span class="preprocessor">#include &lt;arm_compute/runtime/CL/functions/CLDepthwiseConvolutionLayer.h&gt;</span></div>
118<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160; </div>
119<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div>
120<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;{</div>
121<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160; </div>
122<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;<span class="keyword">using namespace </span>armcomputetensorutils;</div>
123<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; </div>
124<div class="line"><a name="l00026"></a><span class="lineno"><a class="line" href="namespacearmnn.html#aa6670a2fcf9f365da69f3f3092dfa64b"> 26</a></span>&#160;<a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> <a class="code" href="namespacearmnn.html#aa6670a2fcf9f365da69f3f3092dfa64b">ClDepthwiseConvolutionWorkloadValidate</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
125<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.html">TensorInfo</a>&amp; output,</div>
126<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html">DepthwiseConvolution2dDescriptor</a>&amp; descriptor,</div>
127<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.html">TensorInfo</a>&amp; weights,</div>
128<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;TensorInfo&gt;</a>&amp; biases,</div>
129<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_activation_descriptor.html">ActivationDescriptor</a>* activationDescriptor)</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; <span class="keyword">const</span> arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, descriptor.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>);</div>
132<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, descriptor.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>);</div>
133<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; </div>
134<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; <span class="comment">// ArmNN format for weights for depthwise is [1, H, W, C] independently of the input/output layout</span></div>
135<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; <span class="comment">//</span></div>
136<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; <span class="comment">// ACL format for weights for depthwise is:</span></div>
137<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; <span class="comment">// - [1, H, W, C] for [N, H, W, C] input/output layout (matches with ArmNN)</span></div>
138<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; <span class="comment">// - [1, C, H, W] for [N, C, H, W] input/output layout</span></div>
139<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; <span class="comment">//</span></div>
140<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; <span class="comment">// Therefore ArmNN weights have to be permuted when input/output layout is [N, C, H, W] to pass them to ACL.</span></div>
141<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; <span class="comment">// The PermuteDepthwiseConv2dWeights backend optimization takes care of this, but it has not been performed yet,</span></div>
142<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; <span class="comment">// so we do the permute here for the TensorInfo weights.</span></div>
143<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> aclDepthMultiplier;</div>
144<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> weightsPermuted;</div>
145<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; std::tie(weightsPermuted, aclDepthMultiplier) = <a class="code" href="namespacearmnn.html#ac4aa9e41515b354234645f115c49de32">Convert1HWOTensorInfoToAcl</a>(weights, input,descriptor.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>);</div>
146<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; </div>
147<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; <span class="comment">// Convert the weights into the compute library format</span></div>
148<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; arm_compute::TensorInfo aclWeightsInfo = BuildArmComputeTensorInfo(weightsPermuted, descriptor.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>);</div>
149<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; aclWeightsInfo.set_are_values_constant(weights.<a class="code" href="classarmnn_1_1_tensor_info.html#a945263e85c27f3216a8323cfc16d8919">IsConstant</a>());</div>
150<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; </div>
151<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; arm_compute::TensorInfo aclBiasesInfo;</div>
152<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; arm_compute::TensorInfo* optionalAclBiasesInfo = <span class="keyword">nullptr</span>;</div>
153<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>)</div>
154<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; {</div>
155<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; <span class="keywordflow">if</span> (!biases.<a class="code" href="classarmnn_1_1_optional_base.html#a86b749ce2c4bc627fa8a1fcfaf0e314f">has_value</a>())</div>
156<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; {</div>
157<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a>{arm_compute::ErrorCode::RUNTIME_ERROR,</div>
158<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; <span class="stringliteral">&quot;ArmNN ClDepthwiseConv2dWorkload has empty bias value.&quot;</span>};</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; aclBiasesInfo = BuildArmComputeTensorInfo(biases.<a class="code" href="classarmnn_1_1_optional_reference_switch.html#a77c7d528ac063d870b8c8426ec81c1c3">value</a>(), descriptor.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>);</div>
161<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; aclBiasesInfo.set_are_values_constant(biases.<a class="code" href="classarmnn_1_1_optional_reference_switch.html#a77c7d528ac063d870b8c8426ec81c1c3">value</a>().IsConstant());</div>
162<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; optionalAclBiasesInfo = &amp;aclBiasesInfo;</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; </div>
165<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; <span class="keyword">const</span> arm_compute::PadStrideInfo aclPadStrideInfo = BuildArmComputePadStrideInfo(descriptor);</div>
166<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; <span class="keyword">const</span> arm_compute::Size2D aclDilationInfo = BuildArmComputeSize2D(</div>
167<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#aa3c6a77a963a98ccb8ea7b8fd008a8c1">m_DilationX</a>,</div>
168<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a302b688d88dd73cde0fb1faef6679907">m_DilationY</a>);</div>
169<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; </div>
170<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; <span class="keyword">const</span> arm_compute::ActivationLayerInfo activationInfo = <a class="code" href="namespacearmnn.html#ad701d0d29baa4266ab4d33b090aa661c">ConvertActivationDescriptorToAclActivationLayerInfo</a>(</div>
171<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; activationDescriptor);</div>
172<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; </div>
173<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; <span class="keywordflow">return</span> arm_compute::CLDepthwiseConvolutionLayer::validate(&amp;aclInputInfo,</div>
174<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; &amp;aclWeightsInfo,</div>
175<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; optionalAclBiasesInfo,</div>
176<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; &amp;aclOutputInfo,</div>
177<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; aclPadStrideInfo,</div>
178<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; aclDepthMultiplier,</div>
179<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; activationInfo,</div>
180<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; aclDilationInfo);</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;}</div>
183<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; </div>
184<div class="line"><a name="l00086"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_depthwise_convolution_workload.html#a121c5818013508ab30f675da7fc3364c"> 86</a></span>&#160;<a class="code" href="classarmnn_1_1_cl_depthwise_convolution_workload.html#a121c5818013508ab30f675da7fc3364c">ClDepthwiseConvolutionWorkload::ClDepthwiseConvolutionWorkload</a>(</div>
185<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_depthwise_convolution2d_queue_descriptor.html">DepthwiseConvolution2dQueueDescriptor</a>&amp; descriptor,</div>
186<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>&amp; info,</div>
187<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; <span class="keyword">const</span> arm_compute::CLCompileContext&amp; clCompileContext)</div>
188<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; : <a class="code" href="classarmnn_1_1_cl_base_workload.html">ClBaseWorkload</a>&lt;<a class="code" href="structarmnn_1_1_depthwise_convolution2d_queue_descriptor.html">DepthwiseConvolution2dQueueDescriptor</a>&gt;(descriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)</div>
189<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160;{</div>
190<div class="line"><a name="l00092"></a><span class="lineno"> 92</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;ClDepthwiseConv2dWorkload&quot;</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_depthwise_convolution2d_descriptor.html#a62938964ffd34d5af3f2d56ca1183b18">GetNumInputs</a>(), 1);</div>
191<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; </div>
192<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; arm_compute::ICLTensor&amp; input = PolymorphicDowncast&lt;IClTensorHandle*&gt;(<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>[0])-&gt;GetTensor();</div>
193<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; arm_compute::ICLTensor&amp; output = PolymorphicDowncast&lt;IClTensorHandle*&gt;(<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>[0])-&gt;GetTensor();</div>
194<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; arm_compute::ICLTensor&amp; weights = PolymorphicDowncast&lt;IClTensorHandle*&gt;(<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>[1])-&gt;GetTensor();</div>
195<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; weights.info()-&gt;set_are_values_constant(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos[1].IsConstant());</div>
196<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; arm_compute::ITensorInfo* weightsInfo = weights.info();</div>
197<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; arm_compute::ITensorInfo* inputInfo = input.info();</div>
198<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; <span class="keyword">auto</span> weightsShape = weightsInfo-&gt;tensor_shape();</div>
199<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; <span class="keyword">auto</span> inputShape = inputInfo-&gt;tensor_shape();</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="comment">// The PermuteDepthwiseConv2dWeights backend optimization has been performed,</span></div>
202<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; <span class="comment">// converting weights to have the same data layout as input.</span></div>
203<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> depthMultiplier =</div>
204<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; ComputeDepthwiseConv2dDepthMultiplier(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">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_depthwise_convolution2d_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>, weightsShape, inputShape);</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"> 108</span>&#160; arm_compute::ICLTensor* bias = <span class="keyword">nullptr</span>;</div>
207<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">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_depthwise_convolution2d_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>)</div>
208<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; {</div>
209<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; bias = &amp;PolymorphicDowncast&lt;IClTensorHandle*&gt;(<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>[2])-&gt;GetTensor();</div>
210<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; bias-&gt;info()-&gt;set_are_values_constant(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos[2].IsConstant());</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; </div>
213<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; <span class="keyword">const</span> arm_compute::Size2D aclDilationInfo = BuildArmComputeSize2D(</div>
214<div class="line"><a name="l00116"></a><span class="lineno"> 116</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_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#aa3c6a77a963a98ccb8ea7b8fd008a8c1">m_DilationX</a>,</div>
215<div class="line"><a name="l00117"></a><span class="lineno"> 117</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_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a302b688d88dd73cde0fb1faef6679907">m_DilationY</a>);</div>
216<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; </div>
217<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">arm_compute::DataLayout</a> aclDataLayout = ConvertDataLayout(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">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_depthwise_convolution2d_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>);</div>
218<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; input.info()-&gt;set_data_layout(aclDataLayout);</div>
219<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; weights.info()-&gt;set_data_layout(aclDataLayout);</div>
220<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; output.info()-&gt;set_data_layout(aclDataLayout);</div>
221<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; </div>
222<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; arm_compute::PadStrideInfo padStrideInfo = BuildArmComputePadStrideInfo(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>);</div>
223<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; </div>
224<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; <span class="keyword">const</span> arm_compute::ActivationLayerInfo activationInfo = <a class="code" href="namespacearmnn.html#abfb0841058a8190d30851f07eca3991f">ConvertAdditionalInfoToAclActivationLayerInfo</a>(descriptor);</div>
225<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; </div>
226<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; <a class="code" href="classarmnn_1_1_cl_depthwise_convolution_workload.html#ac0fba9c7a56b1982e9aa8ca10b5df71b">m_DepthwiseConvolutionLayer</a> = std::make_unique&lt;arm_compute::CLDepthwiseConvolutionLayer&gt;();</div>
227<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; </div>
228<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; {</div>
229<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; <a class="code" href="_cl_workload_utils_8hpp.html#a2d57ef1645138f5f8a6dbd2ce92dc072">ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID</a>(<span class="stringliteral">&quot;ClDepthwiseConvolutionWorkload_configure&quot;</span>);</div>
230<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; <span class="keyword">static_cast&lt;</span>arm_compute::CLDepthwiseConvolutionLayer*<span class="keyword">&gt;</span>(<a class="code" href="classarmnn_1_1_cl_depthwise_convolution_workload.html#ac0fba9c7a56b1982e9aa8ca10b5df71b">m_DepthwiseConvolutionLayer</a>.get())-&gt;configure(</div>
231<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; clCompileContext,</div>
232<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; &amp;input,</div>
233<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; &amp;weights,</div>
234<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; bias,</div>
235<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; &amp;output,</div>
236<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; padStrideInfo,</div>
237<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; depthMultiplier,</div>
238<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; activationInfo,</div>
239<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; aclDilationInfo);</div>
240<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; }</div>
Nikhil Raj1dc83fe2024-05-16 09:47:51 +0100[diff] [blame]241<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; </div>
242<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; <span class="comment">// Add details for profiling output</span></div>
243<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a> detailsInfo;</div>
244<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; </div>
245<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; detailsInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a> = <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos;</div>
246<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; detailsInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a> = <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_OutputTensorInfos;</div>
247<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; </div>
248<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; <span class="comment">// Report Profiling Details</span></div>
249<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; <a class="code" href="_profiling_8hpp.html#a786492a3881a4c760ab1eec2149f4aba">ARMNN_REPORT_PROFILING_WORKLOAD_DESC</a>(<span class="stringliteral">&quot;ClDepthwiseConvolutionWorkload_Construct&quot;</span>,</div>
250<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>,</div>
251<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; detailsInfo,</div>
252<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; <a class="code" href="classarmnn_1_1_base_workload.html#aaff95a48875d8fb4a616352906660ca9">GetGuid</a>());</div>
253<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160;}</div>
254<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; </div>
255<div class="line"><a name="l00157"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_depthwise_convolution_workload.html#ae071e8822437c78baea75c3aef3a263a"> 157</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_cl_depthwise_convolution_workload.html#ae071e8822437c78baea75c3aef3a263a">ClDepthwiseConvolutionWorkload::Execute</a>()<span class="keyword"> const</span></div>
256<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160;<span class="keyword"></span>{</div>
257<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; <a class="code" href="_cl_workload_utils_8hpp.html#a2d57ef1645138f5f8a6dbd2ce92dc072">ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID</a>(<span class="stringliteral">&quot;ClDepthwiseConvolutionWorkload_Execute&quot;</span>);</div>
258<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; </div>
259<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; <a class="code" href="namespacearmnn.html#a52c299ca6a3884c609583a5a0663db80">RunClFunction</a>(*<a class="code" href="classarmnn_1_1_cl_depthwise_convolution_workload.html#ac0fba9c7a56b1982e9aa8ca10b5df71b">m_DepthwiseConvolutionLayer</a>, <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div>
260<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160;}</div>
261<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; </div>
262<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160;} <span class="comment">// namespace armnn</span></div>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]263</div><!-- fragment --></div><!-- contents -->
264</div><!-- doc-content -->
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]265<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>
Nikhil Raj1dc83fe2024-05-16 09:47:51 +0100[diff] [blame]266<div class="ttc" id="anamespacearmnn_html_ac4aa9e41515b354234645f115c49de32"><div class="ttname"><a href="namespacearmnn.html#ac4aa9e41515b354234645f115c49de32">armnn::Convert1HWOTensorInfoToAcl</a></div><div class="ttdeci">std::tuple&lt; TensorInfo, unsigned int &gt; Convert1HWOTensorInfoToAcl(const TensorInfo &amp;weightInfo, const TensorInfo &amp;inputInfo, const DataLayout dataLayout)</div><div class="ttdoc">Weights for depthwise have a datalayout of [1,H,W,O] = [1,H,W,I*M] This function coverts a TensorInfo...</div><div class="ttdef"><b>Definition:</b> <a href="_workload_utils_8cpp_source.html#l00177">WorkloadUtils.cpp:177</a></div></div>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]267<div class="ttc" id="a_cl_depthwise_convolution_workload_8hpp_html"><div class="ttname"><a href="_cl_depthwise_convolution_workload_8hpp.html">ClDepthwiseConvolutionWorkload.hpp</a></div></div>
268<div class="ttc" id="aclassarmnn_1_1_optional_html"><div class="ttname"><a href="classarmnn_1_1_optional.html">armnn::Optional</a></div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.html#l00270">Optional.hpp:270</a></div></div>
269<div class="ttc" id="aclassarmnn_1_1_cl_depthwise_convolution_workload_html_a121c5818013508ab30f675da7fc3364c"><div class="ttname"><a href="classarmnn_1_1_cl_depthwise_convolution_workload.html#a121c5818013508ab30f675da7fc3364c">armnn::ClDepthwiseConvolutionWorkload::ClDepthwiseConvolutionWorkload</a></div><div class="ttdeci">ClDepthwiseConvolutionWorkload(const DepthwiseConvolution2dQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info, const arm_compute::CLCompileContext &amp;clCompileContext)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_depthwise_convolution_workload_8cpp_source.html#l00086">ClDepthwiseConvolutionWorkload.cpp:86</a></div></div>
270<div class="ttc" id="anamespacearmnn_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#l00062">Types.hpp:62</a></div></div>
271<div class="ttc" id="a_workload_data_8hpp_html"><div class="ttname"><a href="_workload_data_8hpp.html">WorkloadData.hpp</a></div></div>
272<div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_html_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">armnn::DepthwiseConvolution2dDescriptor::m_BiasEnabled</a></div><div class="ttdeci">bool m_BiasEnabled</div><div class="ttdoc">Enable/disable bias.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00708">Descriptors.hpp:708</a></div></div>
Nikhil Raj1dc83fe2024-05-16 09:47:51 +0100[diff] [blame]273<div class="ttc" id="aclassarmnn_1_1_cl_depthwise_convolution_workload_html_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classarmnn_1_1_cl_depthwise_convolution_workload.html#ae071e8822437c78baea75c3aef3a263a">armnn::ClDepthwiseConvolutionWorkload::Execute</a></div><div class="ttdeci">void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_depthwise_convolution_workload_8cpp_source.html#l00157">ClDepthwiseConvolutionWorkload.cpp:157</a></div></div>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]274<div class="ttc" id="a_workload_utils_8hpp_html"><div class="ttname"><a href="_workload_utils_8hpp.html">WorkloadUtils.hpp</a></div></div>
Nikhil Raj1dc83fe2024-05-16 09:47:51 +0100[diff] [blame]275<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]276<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>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]277<div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a6089e1ca91914015777ea780a513131a">armnn::DepthwiseConvolution2dDescriptor::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#l00710">Descriptors.hpp:710</a></div></div>
278<div class="ttc" id="aclassarmnn_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#l00152">Tensor.hpp:152</a></div></div>
279<div class="ttc" id="a_exceptions_8hpp_html_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00203">Exceptions.hpp:203</a></div></div>
280<div class="ttc" id="aclassarmnn_1_1_cl_base_workload_html"><div class="ttname"><a href="classarmnn_1_1_cl_base_workload.html">armnn::ClBaseWorkload</a></div><div class="ttdef"><b>Definition:</b> <a href="_cl_base_workload_8hpp_source.html#l00013">ClBaseWorkload.hpp:13</a></div></div>
281<div class="ttc" id="a_resolve_type_8hpp_html"><div class="ttname"><a href="_resolve_type_8hpp.html">ResolveType.hpp</a></div></div>
Nikhil Raj1dc83fe2024-05-16 09:47:51 +0100[diff] [blame]282<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a945263e85c27f3216a8323cfc16d8919"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a945263e85c27f3216a8323cfc16d8919">armnn::TensorInfo::IsConstant</a></div><div class="ttdeci">bool IsConstant() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00513">Tensor.cpp:513</a></div></div>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]283<div class="ttc" id="astructarmnn_1_1_workload_info_html_a67b178f8a836bc1e52b8de109760adfd"><div class="ttname"><a href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">armnn::WorkloadInfo::m_OutputTensorInfos</a></div><div class="ttdeci">std::vector&lt; TensorInfo &gt; m_OutputTensorInfos</div><div class="ttdef"><b>Definition:</b> <a href="_workload_info_8hpp_source.html#l00019">WorkloadInfo.hpp:19</a></div></div>
284<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>
285<div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_html_a302b688d88dd73cde0fb1faef6679907"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a302b688d88dd73cde0fb1faef6679907">armnn::DepthwiseConvolution2dDescriptor::m_DilationY</a></div><div class="ttdeci">uint32_t m_DilationY</div><div class="ttdoc">Dilation factor value for height dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00706">Descriptors.hpp:706</a></div></div>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]286<div class="ttc" id="a_cl_workload_utils_8hpp_html_a2d57ef1645138f5f8a6dbd2ce92dc072"><div class="ttname"><a href="_cl_workload_utils_8hpp.html#a2d57ef1645138f5f8a6dbd2ce92dc072">ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID(label)</div><div class="ttdoc">Creates a profiling event that uses GetGuid() and GetName() from the calling class.</div><div class="ttdef"><b>Definition:</b> <a href="_cl_workload_utils_8hpp_source.html#l00036">ClWorkloadUtils.hpp:36</a></div></div>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]287<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>
288<div class="ttc" id="a_cl_workload_utils_8hpp_html"><div class="ttname"><a href="_cl_workload_utils_8hpp.html">ClWorkloadUtils.hpp</a></div></div>
289<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>
Nikhil Raj6f92c8e2023-11-22 11:41:15 +0000[diff] [blame]290<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>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]291<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>
292<div class="ttc" id="aclassarmnn_1_1_cl_depthwise_convolution_workload_html_ac0fba9c7a56b1982e9aa8ca10b5df71b"><div class="ttname"><a href="classarmnn_1_1_cl_depthwise_convolution_workload.html#ac0fba9c7a56b1982e9aa8ca10b5df71b">armnn::ClDepthwiseConvolutionWorkload::m_DepthwiseConvolutionLayer</a></div><div class="ttdeci">std::unique_ptr&lt; arm_compute::IFunction &gt; m_DepthwiseConvolutionLayer</div><div class="ttdef"><b>Definition:</b> <a href="_cl_depthwise_convolution_workload_8hpp_source.html#l00036">ClDepthwiseConvolutionWorkload.hpp:36</a></div></div>
293<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>
Nikhil Raj6f92c8e2023-11-22 11:41:15 +0000[diff] [blame]294<div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_queue_descriptor.html">armnn::DepthwiseConvolution2dQueueDescriptor</a></div><div class="ttdoc">Depthwise Convolution 2D layer workload data.</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00234">WorkloadData.hpp:234</a></div></div>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]295<div class="ttc" id="a_profiling_8hpp_html_a786492a3881a4c760ab1eec2149f4aba"><div class="ttname"><a href="_profiling_8hpp.html#a786492a3881a4c760ab1eec2149f4aba">ARMNN_REPORT_PROFILING_WORKLOAD_DESC</a></div><div class="ttdeci">#define ARMNN_REPORT_PROFILING_WORKLOAD_DESC(name, desc, infos, guid)</div><div class="ttdef"><b>Definition:</b> <a href="_profiling_8hpp_source.html#l00227">Profiling.hpp:227</a></div></div>
296<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; DepthwiseConvolution2dQueueDescriptor &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>
297<div class="ttc" id="a_tensor_handle_8hpp_html"><div class="ttname"><a href="_tensor_handle_8hpp.html">TensorHandle.hpp</a></div></div>
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299<div class="ttc" id="a_cl_tensor_handle_8hpp_html"><div class="ttname"><a href="_cl_tensor_handle_8hpp.html">ClTensorHandle.hpp</a></div></div>
300<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; DepthwiseConvolution2dQueueDescriptor &gt;::m_Data</a></div><div class="ttdeci">DepthwiseConvolution2dQueueDescriptor m_Data</div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.html#l00089">Workload.hpp:89</a></div></div>
Nikhil Raj1dc83fe2024-05-16 09:47:51 +0100[diff] [blame]301<div class="ttc" id="anamespacearmnn_html_a52c299ca6a3884c609583a5a0663db80"><div class="ttname"><a href="namespacearmnn.html#a52c299ca6a3884c609583a5a0663db80">armnn::RunClFunction</a></div><div class="ttdeci">void RunClFunction(arm_compute::IFunction &amp;function, const CheckLocation &amp;location)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_workload_utils_8hpp_source.html#l00167">ClWorkloadUtils.hpp:167</a></div></div>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]302<div class="ttc" id="astructarmnn_1_1_workload_info_html_ac97905bfa0daab357b91df1347600309"><div class="ttname"><a href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">armnn::WorkloadInfo::m_InputTensorInfos</a></div><div class="ttdeci">std::vector&lt; TensorInfo &gt; m_InputTensorInfos</div><div class="ttdef"><b>Definition:</b> <a href="_workload_info_8hpp_source.html#l00018">WorkloadInfo.hpp:18</a></div></div>
303<div class="ttc" id="a_exceptions_8hpp_html"><div class="ttname"><a href="_exceptions_8hpp.html">Exceptions.hpp</a></div></div>
304<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>
305<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>
306<div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html">armnn::DepthwiseConvolution2dDescriptor</a></div><div class="ttdoc">A DepthwiseConvolution2dDescriptor for the DepthwiseConvolution2dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00659">Descriptors.hpp:659</a></div></div>
307<div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_html_aa3c6a77a963a98ccb8ea7b8fd008a8c1"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#aa3c6a77a963a98ccb8ea7b8fd008a8c1">armnn::DepthwiseConvolution2dDescriptor::m_DilationX</a></div><div class="ttdeci">uint32_t m_DilationX</div><div class="ttdoc">Dilation factor value for width dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00704">Descriptors.hpp:704</a></div></div>
308<div class="ttc" id="anamespacearmnn_html_aa6670a2fcf9f365da69f3f3092dfa64b"><div class="ttname"><a href="namespacearmnn.html#aa6670a2fcf9f365da69f3f3092dfa64b">armnn::ClDepthwiseConvolutionWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClDepthwiseConvolutionWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;output, const DepthwiseConvolution2dDescriptor &amp;descriptor, const TensorInfo &amp;weights, const Optional&lt; TensorInfo &gt; &amp;biases, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_depthwise_convolution_workload_8cpp_source.html#l00026">ClDepthwiseConvolutionWorkload.cpp:26</a></div></div>
309<div class="ttc" id="aclassarmnn_1_1_optional_reference_switch_html_a77c7d528ac063d870b8c8426ec81c1c3"><div class="ttname"><a href="classarmnn_1_1_optional_reference_switch.html#a77c7d528ac063d870b8c8426ec81c1c3">armnn::OptionalReferenceSwitch&lt; std::is_reference&lt; T &gt;::value, T &gt;::value</a></div><div class="ttdeci">const T &amp; value() const</div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.html#l00146">Optional.hpp:146</a></div></div>
310<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>
311<div class="ttc" id="aclassarmnn_1_1_optional_base_html_a86b749ce2c4bc627fa8a1fcfaf0e314f"><div class="ttname"><a href="classarmnn_1_1_optional_base.html#a86b749ce2c4bc627fa8a1fcfaf0e314f">armnn::OptionalBase::has_value</a></div><div class="ttdeci">bool has_value() const noexcept</div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.html#l00053">Optional.hpp:53</a></div></div>
Nikhil Raj1dc83fe2024-05-16 09:47:51 +0100[diff] [blame]312<div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_html_a62938964ffd34d5af3f2d56ca1183b18"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a62938964ffd34d5af3f2d56ca1183b18">armnn::DepthwiseConvolution2dDescriptor::GetNumInputs</a></div><div class="ttdeci">uint32_t GetNumInputs() const</div><div class="ttdoc">Get the number of views/inputs.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.html#l00480">Descriptors.cpp:480</a></div></div>
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