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| <div class="title">ClMultiplicationWorkload.cpp</div> </div> |
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| <a href="_cl_multiplication_workload_8cpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div> |
| <div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017-2018,2020-2023 Arm Ltd and Contributors. All rights reserved.</span></div> |
| <div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div> |
| <div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div> |
| <div class="line"><a name="l00005"></a><span class="lineno"> 5</span>  </div> |
| <div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#include "<a class="code" href="_cl_multiplication_workload_8hpp.html">ClMultiplicationWorkload.hpp</a>"</span></div> |
| <div class="line"><a name="l00007"></a><span class="lineno"> 7</span>  </div> |
| <div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include <<a class="code" href="_arm_compute_utils_8hpp.html">aclCommon/ArmComputeUtils.hpp</a>></span></div> |
| <div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include <<a class="code" href="_tensor_handle_8hpp.html">armnn/backends/TensorHandle.hpp</a>></span></div> |
| <div class="line"><a name="l00010"></a><span class="lineno"> 10</span>  </div> |
| <div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="_cl_tensor_handle_8hpp.html">cl/ClTensorHandle.hpp</a>></span></div> |
| <div class="line"><a name="l00012"></a><span class="lineno"> 12</span>  </div> |
| <div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include "<a class="code" href="_cl_workload_utils_8hpp.html">ClWorkloadUtils.hpp</a>"</span></div> |
| <div class="line"><a name="l00014"></a><span class="lineno"> 14</span>  </div> |
| <div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div> |
| <div class="line"><a name="l00016"></a><span class="lineno"> 16</span> {</div> |
| <div class="line"><a name="l00017"></a><span class="lineno"> 17</span>  </div> |
| <div class="line"><a name="l00018"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a9638165cb6c1baae3b2b5fd9f0f75201"> 18</a></span> <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> <a class="code" href="namespacearmnn.html#a9638165cb6c1baae3b2b5fd9f0f75201">ClMultiplicationWorkloadValidate</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input0,</div> |
| <div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input1,</div> |
| <div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output,</div> |
| <div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_activation_descriptor.html">ActivationDescriptor</a>* activationDescriptor)</div> |
| <div class="line"><a name="l00022"></a><span class="lineno"> 22</span> {</div> |
| <div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclInput1 = armcomputetensorutils::BuildArmComputeTensorInfo(input0);</div> |
| <div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclInput2 = armcomputetensorutils::BuildArmComputeTensorInfo(input1);</div> |
| <div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output);</div> |
| <div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  </div> |
| <div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <span class="keyword">auto</span> convertPolicy = (<a class="code" href="namespacearmnn.html#ad44c007f21af2d0375e3ef9400a1b275">IsQuantizedType</a>(input0.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>()) || <a class="code" href="namespacearmnn.html#ad44c007f21af2d0375e3ef9400a1b275">IsQuantizedType</a>(input1.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>())) ?</div> |
| <div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  arm_compute::ConvertPolicy::SATURATE :</div> |
| <div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  arm_compute::ConvertPolicy::WRAP;</div> |
| <div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  </div> |
| <div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <span class="keyword">const</span> arm_compute::ActivationLayerInfo activationInfo = <a class="code" href="namespacearmnn.html#ad701d0d29baa4266ab4d33b090aa661c">ConvertActivationDescriptorToAclActivationLayerInfo</a>(</div> |
| <div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  activationDescriptor);</div> |
| <div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  </div> |
| <div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <span class="comment">// At the time of writing, configure() will fail if a rounding policy other than TO_ZERO is supplied to it,</span></div> |
| <div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <span class="comment">// when providing a scale of 1.0 for F32 tensors, even though the provided rounding policy appears to be</span></div> |
| <div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="comment">// ignored for F32 tensors.</span></div> |
| <div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keywordflow">return</span> arm_compute::CLPixelWiseMultiplication::validate(&aclInput1,</div> |
| <div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  &aclInput2,</div> |
| <div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  &aclOutput,</div> |
| <div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  1.0f,</div> |
| <div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  convertPolicy,</div> |
| <div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  arm_compute::RoundingPolicy::TO_ZERO,</div> |
| <div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  activationInfo);</div> |
| <div class="line"><a name="l00044"></a><span class="lineno"> 44</span> }</div> |
| <div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  </div> |
| <div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  </div> |
| <div class="line"><a name="l00047"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_multiplication_workload.html#a0762f75638f94c3cee26be839d5d2e15"> 47</a></span> <a class="code" href="classarmnn_1_1_cl_multiplication_workload.html#a0762f75638f94c3cee26be839d5d2e15">ClMultiplicationWorkload::ClMultiplicationWorkload</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_multiplication_queue_descriptor.html">MultiplicationQueueDescriptor</a>& descriptor,</div> |
| <div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& info,</div> |
| <div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keyword">const</span> arm_compute::CLCompileContext& clCompileContext)</div> |
| <div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  : <a class="code" href="classarmnn_1_1_cl_base_workload.html">ClBaseWorkload</a><<a class="code" href="structarmnn_1_1_multiplication_queue_descriptor.html">MultiplicationQueueDescriptor</a>>(descriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)</div> |
| <div class="line"><a name="l00051"></a><span class="lineno"> 51</span> {</div> |
| <div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <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">"ClMultiplicationWorkload"</span>, 2, 1);</div> |
| <div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  </div> |
| <div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  arm_compute::ICLTensor& input0 = <span class="keyword">static_cast<</span><a class="code" href="classarmnn_1_1_i_cl_tensor_handle.html">IClTensorHandle</a>*<span class="keyword">></span>(<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])->GetTensor();</div> |
| <div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  arm_compute::ICLTensor& input1 = <span class="keyword">static_cast<</span><a class="code" href="classarmnn_1_1_i_cl_tensor_handle.html">IClTensorHandle</a>*<span class="keyword">></span>(<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])->GetTensor();</div> |
| <div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  arm_compute::ICLTensor& output = <span class="keyword">static_cast<</span><a class="code" href="classarmnn_1_1_i_cl_tensor_handle.html">IClTensorHandle</a>*<span class="keyword">></span>(<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])->GetTensor();</div> |
| <div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  </div> |
| <div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keyword">auto</span> convertPolicy = (<a class="code" href="namespacearmnn.html#ad44c007f21af2d0375e3ef9400a1b275">IsQuantizedType</a>(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos[0].GetDataType()) ||</div> |
| <div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <a class="code" href="namespacearmnn.html#ad44c007f21af2d0375e3ef9400a1b275">IsQuantizedType</a>(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos[1].GetDataType())) ?</div> |
| <div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  arm_compute::ConvertPolicy::SATURATE :</div> |
| <div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  arm_compute::ConvertPolicy::WRAP;</div> |
| <div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  </div> |
| <div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keyword">const</span> arm_compute::ActivationLayerInfo activationInfo = <a class="code" href="namespacearmnn.html#abfb0841058a8190d30851f07eca3991f">ConvertAdditionalInfoToAclActivationLayerInfo</a>(descriptor);</div> |
| <div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  </div> |
| <div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  {</div> |
| <div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <a class="code" href="_cl_workload_utils_8hpp.html#a2d57ef1645138f5f8a6dbd2ce92dc072">ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID</a>(<span class="stringliteral">"ClMultiplicationWorkload_configure"</span>);</div> |
| <div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="comment">// Construct</span></div> |
| <div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  m_PixelWiseMultiplication.configure(clCompileContext,</div> |
| <div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  &input0,</div> |
| <div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  &input1,</div> |
| <div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  &output,</div> |
| <div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  1.0f,</div> |
| <div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  convertPolicy,</div> |
| <div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  arm_compute::RoundingPolicy::TO_NEAREST_EVEN,</div> |
| <div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  activationInfo);</div> |
| <div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  }</div> |
| <div class="line"><a name="l00077"></a><span class="lineno"> 77</span> }</div> |
| <div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  </div> |
| <div class="line"><a name="l00079"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_multiplication_workload.html#ae071e8822437c78baea75c3aef3a263a"> 79</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_cl_multiplication_workload.html#ae071e8822437c78baea75c3aef3a263a">ClMultiplicationWorkload::Execute</a>()<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00080"></a><span class="lineno"> 80</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <a class="code" href="_cl_workload_utils_8hpp.html#a2d57ef1645138f5f8a6dbd2ce92dc072">ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID</a>(<span class="stringliteral">"ClMultiplicationWorkload_Execute"</span>);</div> |
| <div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <a class="code" href="namespacearmnn.html#a52c299ca6a3884c609583a5a0663db80">RunClFunction</a>(m_PixelWiseMultiplication, <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div> |
| <div class="line"><a name="l00083"></a><span class="lineno"> 83</span> }</div> |
| <div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  </div> |
| <div class="line"><a name="l00085"></a><span class="lineno"> 85</span> } <span class="comment">//namespace armnn</span></div> |
| </div><!-- fragment --></div><!-- contents --> |
| </div><!-- doc-content --> |
| <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> |
| <div class="ttc" id="astructarmnn_1_1_multiplication_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_multiplication_queue_descriptor.html">armnn::MultiplicationQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00264">WorkloadData.hpp:264</a></div></div> |
| <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 &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> |
| <div class="ttc" id="anamespacearmnn_html_a9638165cb6c1baae3b2b5fd9f0f75201"><div class="ttname"><a href="namespacearmnn.html#a9638165cb6c1baae3b2b5fd9f0f75201">armnn::ClMultiplicationWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClMultiplicationWorkloadValidate(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_multiplication_workload_8cpp_source.html#l00018">ClMultiplicationWorkload.cpp:18</a></div></div> |
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| <div class="ttc" id="anamespacearmnn_html_ad44c007f21af2d0375e3ef9400a1b275"><div class="ttname"><a href="namespacearmnn.html#ad44c007f21af2d0375e3ef9400a1b275">armnn::IsQuantizedType</a></div><div class="ttdeci">constexpr bool IsQuantizedType()</div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8hpp_source.html#l00311">TypesUtils.hpp:311</a></div></div> |
| <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> |
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