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| <div class="title">RefFullyConnectedWorkload.cpp</div> </div> |
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| <div class="contents"> |
| <a href="_ref_fully_connected_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 © 2019-2023 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="_ref_fully_connected_workload_8hpp.html">RefFullyConnectedWorkload.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="_fully_connected_8hpp.html">FullyConnected.hpp</a>"</span></div> |
| <div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include "<a class="code" href="_ref_workload_utils_8hpp.html">RefWorkloadUtils.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="_profiling_8hpp.html">Profiling.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="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></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>  </div> |
| <div class="line"><a name="l00016"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a3f8e72f86ecaf365978a993127ea5957"> 16</a></span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="namespacearmnn.html#a3f8e72f86ecaf365978a993127ea5957">GetNumActivations</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputInfo)</div> |
| <div class="line"><a name="l00017"></a><span class="lineno"> 17</span> {</div> |
| <div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numActivations = 1; <span class="comment">// Total number of activations in the input.</span></div> |
| <div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 1; i < inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(); i++)</div> |
| <div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  {</div> |
| <div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  numActivations *= inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[i];</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="keywordflow">return</span> numActivations;</div> |
| <div class="line"><a name="l00024"></a><span class="lineno"> 24</span> }</div> |
| <div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  </div> |
| <div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  </div> |
| <div class="line"><a name="l00027"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_fully_connected_workload.html#a90d6c582f929edb8f3ab9a7d7c086d54"> 27</a></span> <a class="code" href="classarmnn_1_1_ref_fully_connected_workload.html#a90d6c582f929edb8f3ab9a7d7c086d54">RefFullyConnectedWorkload::RefFullyConnectedWorkload</a>(</div> |
| <div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_fully_connected_queue_descriptor.html">FullyConnectedQueueDescriptor</a>& descriptor, <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& info)</div> |
| <div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  : <a class="code" href="classarmnn_1_1_ref_base_workload.html">RefBaseWorkload</a><<a class="code" href="structarmnn_1_1_fully_connected_queue_descriptor.html">FullyConnectedQueueDescriptor</a>>(descriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)</div> |
| <div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  , m_InputShape(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos[0].GetShape())</div> |
| <div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  , m_WeightShape(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos[1].GetShape())</div> |
| <div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  , m_OutputShape(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_OutputTensorInfos[0].GetShape())</div> |
| <div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  , m_NumActivations(<a class="code" href="namespacearmnn.html#a3f8e72f86ecaf365978a993127ea5957">GetNumActivations</a>(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos[0]))</div> |
| <div class="line"><a name="l00034"></a><span class="lineno"> 34</span> {</div> |
| <div class="line"><a name="l00035"></a><span class="lineno"> 35</span> }</div> |
| <div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  </div> |
| <div class="line"><a name="l00037"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_fully_connected_workload.html#ae071e8822437c78baea75c3aef3a263a"> 37</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_ref_fully_connected_workload.html#ae071e8822437c78baea75c3aef3a263a">RefFullyConnectedWorkload::Execute</a>()<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <a class="code" href="classarmnn_1_1_ref_fully_connected_workload.html#ae071e8822437c78baea75c3aef3a263a">Execute</a>(<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>, <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> |
| <div class="line"><a name="l00040"></a><span class="lineno"> 40</span> }</div> |
| <div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  </div> |
| <div class="line"><a name="l00042"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_fully_connected_workload.html#ae1c43d025fc90382d7aff7a500937e2c"> 42</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_ref_fully_connected_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefFullyConnectedWorkload::ExecuteAsync</a>(<a class="code" href="structarmnn_1_1experimental_1_1_execution_data.html">ExecutionData</a>& executionData)</div> |
| <div class="line"><a name="l00043"></a><span class="lineno"> 43</span> {</div> |
| <div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <a class="code" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html">WorkingMemDescriptor</a>* workingMemDescriptor = <span class="keyword">static_cast<</span><a class="code" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html">WorkingMemDescriptor</a>*<span class="keyword">></span>(executionData.<a class="code" href="structarmnn_1_1experimental_1_1_execution_data.html#ad2b382076f26f48cd44783cfca2e3642">m_Data</a>);</div> |
| <div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <a class="code" href="classarmnn_1_1_ref_fully_connected_workload.html#ae071e8822437c78baea75c3aef3a263a">Execute</a>(workingMemDescriptor-><a class="code" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>, workingMemDescriptor-><a class="code" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>);</div> |
| <div class="line"><a name="l00046"></a><span class="lineno"> 46</span> }</div> |
| <div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  </div> |
| <div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_ref_fully_connected_workload.html#ae071e8822437c78baea75c3aef3a263a">RefFullyConnectedWorkload::Execute</a>(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <a class="code" href="_ref_workload_utils_8hpp.html#a06acca4fd832e0fb179604112c0505af">ARMNN_SCOPED_PROFILING_EVENT_REF_NAME_GUID</a>(<span class="stringliteral">"RefFullyConnectedWorkload_Execute"</span>);</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>  std::unique_ptr<Decoder<float>> inputDecoder = MakeDecoder<float>(<a class="code" href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>(inputs[0]), inputs[0]-><a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">Map</a>());</div> |
| <div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  std::unique_ptr<Encoder<float>> OutputEncoder = MakeEncoder<float>(<a class="code" href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>(outputs[0]), outputs[0]-><a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">Map</a>());</div> |
| <div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  </div> |
| <div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  std::unique_ptr<Decoder<float>> weightsDecoder = MakeDecoder<float>(<a class="code" href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>(inputs[1]), inputs[1]-><a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">Map</a>());</div> |
| <div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  std::unique_ptr<Decoder<float>> biasDecoder;</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="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_fully_connected_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>)</div> |
| <div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  {</div> |
| <div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  biasDecoder = MakeDecoder<float>(<a class="code" href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>(inputs[2]), inputs[2]-><a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">Map</a>());</div> |
| <div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  }</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>  <a class="code" href="namespacearmnn.html#a435f9350a94adfbb0d5b9abb5f430914">FullyConnected</a>(m_InputShape,</div> |
| <div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  *inputDecoder,</div> |
| <div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  m_OutputShape,</div> |
| <div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  *OutputEncoder,</div> |
| <div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  m_WeightShape,</div> |
| <div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  *weightsDecoder,</div> |
| <div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  biasDecoder.get(),</div> |
| <div class="line"><a name="l00070"></a><span class="lineno"> 70</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_fully_connected_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>,</div> |
| <div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  m_NumActivations,</div> |
| <div class="line"><a name="l00072"></a><span class="lineno"> 72</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_fully_connected_descriptor.html#a281fcaec86e17c97f7b8402633f6b55a">m_TransposeWeightMatrix</a>);</div> |
| <div class="line"><a name="l00073"></a><span class="lineno"> 73</span> }</div> |
| <div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  </div> |
| <div class="line"><a name="l00075"></a><span class="lineno"> 75</span> } <span class="comment">//namespace armnn</span></div> |
| </div><!-- fragment --></div><!-- contents --> |
| </div><!-- doc-content --> |
| <div class="ttc" id="astructarmnn_1_1_fully_connected_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_fully_connected_queue_descriptor.html">armnn::FullyConnectedQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00180">WorkloadData.hpp:180</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_fully_connected_descriptor_html_a281fcaec86e17c97f7b8402633f6b55a"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.html#a281fcaec86e17c97f7b8402633f6b55a">armnn::FullyConnectedDescriptor::m_TransposeWeightMatrix</a></div><div class="ttdeci">bool m_TransposeWeightMatrix</div><div class="ttdoc">Enable/disable transpose weight matrix.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00528">Descriptors.hpp:528</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_ref_fully_connected_workload_html_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classarmnn_1_1_ref_fully_connected_workload.html#ae071e8822437c78baea75c3aef3a263a">armnn::RefFullyConnectedWorkload::Execute</a></div><div class="ttdeci">void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_fully_connected_workload_8cpp_source.html#l00037">RefFullyConnectedWorkload.cpp:37</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1experimental_1_1_execution_data_html_ad2b382076f26f48cd44783cfca2e3642"><div class="ttname"><a href="structarmnn_1_1experimental_1_1_execution_data.html#ad2b382076f26f48cd44783cfca2e3642">armnn::experimental::ExecutionData::m_Data</a></div><div class="ttdeci">void * m_Data</div><div class="ttdef"><b>Definition:</b> <a href="_execution_data_8hpp_source.html#l00016">ExecutionData.hpp:16</a></div></div> |
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| <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorInfo::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00197">Tensor.hpp:197</a></div></div> |
| <div class="ttc" id="a_profiling_8hpp_html"><div class="ttname"><a href="_profiling_8hpp.html">Profiling.hpp</a></div></div> |
| <div class="ttc" id="a_fully_connected_8hpp_html"><div class="ttname"><a href="_fully_connected_8hpp.html">FullyConnected.hpp</a></div></div> |
| <div class="ttc" id="a_ref_workload_utils_8hpp_html_a06acca4fd832e0fb179604112c0505af"><div class="ttname"><a href="_ref_workload_utils_8hpp.html#a06acca4fd832e0fb179604112c0505af">ARMNN_SCOPED_PROFILING_EVENT_REF_NAME_GUID</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT_REF_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="_ref_workload_utils_8hpp_source.html#l00022">RefWorkloadUtils.hpp:22</a></div></div> |
| <div class="ttc" id="a_ref_fully_connected_workload_8hpp_html"><div class="ttname"><a href="_ref_fully_connected_workload_8hpp.html">RefFullyConnectedWorkload.hpp</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a435f9350a94adfbb0d5b9abb5f430914"><div class="ttname"><a href="namespacearmnn.html#a435f9350a94adfbb0d5b9abb5f430914">armnn::FullyConnected</a></div><div class="ttdeci">void FullyConnected(const TensorShape &rInputShape, Decoder< float > &rInputDecoder, const TensorShape &rOutputShape, Encoder< float > &rOutputEncoder, const TensorShape &rWeightsShape, Decoder< float > &rWeightDecoder, Decoder< float > *pBiasDecoder, const bool biasEnabled, const unsigned int K, const bool transposeWeights)</div><div class="ttdoc">Performs a matrix multiplication and optionally adds a bias.</div><div class="ttdef"><b>Definition:</b> <a href="_fully_connected_8cpp_source.html#l00015">FullyConnected.cpp:15</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_ref_fully_connected_workload_html_a90d6c582f929edb8f3ab9a7d7c086d54"><div class="ttname"><a href="classarmnn_1_1_ref_fully_connected_workload.html#a90d6c582f929edb8f3ab9a7d7c086d54">armnn::RefFullyConnectedWorkload::RefFullyConnectedWorkload</a></div><div class="ttdeci">RefFullyConnectedWorkload(const FullyConnectedQueueDescriptor &descriptor, const WorkloadInfo &info)</div><div class="ttdef"><b>Definition:</b> <a href="_ref_fully_connected_workload_8cpp_source.html#l00027">RefFullyConnectedWorkload.cpp:27</a></div></div> |
| <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> |
| <div class="ttc" id="astructarmnn_1_1_fully_connected_descriptor_html_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">armnn::FullyConnectedDescriptor::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#l00526">Descriptors.hpp:526</a></div></div> |
| <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> |
| <div class="ttc" id="aclassarmnn_1_1_ref_fully_connected_workload_html_ae1c43d025fc90382d7aff7a500937e2c"><div class="ttname"><a href="classarmnn_1_1_ref_fully_connected_workload.html#ae1c43d025fc90382d7aff7a500937e2c">armnn::RefFullyConnectedWorkload::ExecuteAsync</a></div><div class="ttdeci">void ExecuteAsync(ExecutionData &executionData) override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_fully_connected_workload_8cpp_source.html#l00042">RefFullyConnectedWorkload.cpp:42</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_aa815fde54f6d8e8aa5b4f0301cf4178b"><div class="ttname"><a href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">armnn::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo(const ITensorHandle *tensorHandle)</div><div class="ttdoc">float32 helpers</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_utils_8hpp_source.html#l00033">RefWorkloadUtils.hpp:33</a></div></div> |
| <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> |
| <div class="ttc" id="anamespacearmnn_html_a3f8e72f86ecaf365978a993127ea5957"><div class="ttname"><a href="namespacearmnn.html#a3f8e72f86ecaf365978a993127ea5957">armnn::GetNumActivations</a></div><div class="ttdeci">unsigned int GetNumActivations(const TensorInfo &inputInfo)</div><div class="ttdef"><b>Definition:</b> <a href="_ref_fully_connected_workload_8cpp_source.html#l00016">RefFullyConnectedWorkload.cpp:16</a></div></div> |
| <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< ITensorHandle * > m_Outputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00027">WorkloadData.hpp:27</a></div></div> |
| <div class="ttc" id="a_ref_workload_utils_8hpp_html"><div class="ttname"><a href="_ref_workload_utils_8hpp.html">RefWorkloadUtils.hpp</a></div></div> |
| <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< FullyConnectedQueueDescriptor >::m_Data</a></div><div class="ttdeci">FullyConnectedQueueDescriptor m_Data</div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.html#l00089">Workload.hpp:89</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00193">Tensor.hpp:193</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">armnn::LayerType::Map</a></div><div class="ttdeci">@ Map</div></div> |
| <div class="ttc" id="astructarmnn_1_1experimental_1_1_working_mem_descriptor_html_a4b50e46a6810018f3edecfb68b2a76b3"><div class="ttname"><a href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">armnn::experimental::WorkingMemDescriptor::m_Inputs</a></div><div class="ttdeci">std::vector< ITensorHandle * > m_Inputs</div><div class="ttdef"><b>Definition:</b> <a href="_working_mem_descriptor_8hpp_source.html#l00020">WorkingMemDescriptor.hpp:20</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> |
| <div class="ttc" id="astructarmnn_1_1experimental_1_1_working_mem_descriptor_html"><div class="ttname"><a href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html">armnn::experimental::WorkingMemDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_working_mem_descriptor_8hpp_source.html#l00018">WorkingMemDescriptor.hpp:18</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_ref_base_workload_html"><div class="ttname"><a href="classarmnn_1_1_ref_base_workload.html">armnn::RefBaseWorkload</a></div><div class="ttdef"><b>Definition:</b> <a href="_ref_base_workload_8hpp_source.html#l00013">RefBaseWorkload.hpp:13</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1experimental_1_1_working_mem_descriptor_html_a6abd491bb99ffe88bd472c1ae5a1ed1a"><div class="ttname"><a href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">armnn::experimental::WorkingMemDescriptor::m_Outputs</a></div><div class="ttdeci">std::vector< ITensorHandle * > m_Outputs</div><div class="ttdef"><b>Definition:</b> <a href="_working_mem_descriptor_8hpp_source.html#l00021">WorkingMemDescriptor.hpp:21</a></div></div> |
| <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< ITensorHandle * > m_Inputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00026">WorkloadData.hpp:26</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1experimental_1_1_execution_data_html"><div class="ttname"><a href="structarmnn_1_1experimental_1_1_execution_data.html">armnn::experimental::ExecutionData</a></div><div class="ttdef"><b>Definition:</b> <a href="_execution_data_8hpp_source.html#l00014">ExecutionData.hpp:14</a></div></div> |
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