Ryan OShea | de36e4a | 2020-03-13 16:26:19 +0000 | [diff] [blame] | 1 | <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> |
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| 87 | <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 © 2017 Arm Ltd. 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"><a class="line" href="classarmnn_1_1_ref_fully_connected_workload.html#a90d6c582f929edb8f3ab9a7d7c086d54"> 15</a></span> <a class="code" href="classarmnn_1_1_ref_fully_connected_workload.html#a90d6c582f929edb8f3ab9a7d7c086d54">RefFullyConnectedWorkload::RefFullyConnectedWorkload</a>(</div><div class="line"><a name="l00016"></a><span class="lineno"> 16</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="l00017"></a><span class="lineno"> 17</span>  : <a class="code" href="classarmnn_1_1_base_workload.html">BaseWorkload</a><<a class="code" href="structarmnn_1_1_fully_connected_queue_descriptor.html">FullyConnectedQueueDescriptor</a>>(descriptor, info),</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  m_Weight(<a class="code" href="namespacestd.html">std</a>::make_unique<<a class="code" href="classarmnn_1_1_scoped_cpu_tensor_handle.html">ScopedCpuTensorHandle</a>>(*(descriptor.m_Weight)))</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> {</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>& rWeightInfo = m_Weight->GetTensorInfo();</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  m_WeightShape = rWeightInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  m_WeightDecoder = MakeDecoder<float>(rWeightInfo, m_Weight->Map(<span class="keyword">true</span>));</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> </div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <span class="keywordflow">if</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_fully_connected_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>)</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>  m_Bias = std::make_unique<ScopedCpuTensorHandle>(*(descriptor.<a class="code" href="structarmnn_1_1_fully_connected_queue_descriptor.html#ab3437cee6b0687812104fc1b37cbe8b3">m_Bias</a>));</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& biasInfo = m_Bias->GetTensorInfo();</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  m_BiasDecoder = MakeDecoder<float>(biasInfo, m_Bias->Map(<span class="keyword">true</span>));</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  }</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> </div><div class="line"><a name="l00032"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_fully_connected_workload.html#a81627f96ba06d76e147f7d392a8117ed"> 32</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_ref_fully_connected_workload.html#a81627f96ba06d76e147f7d392a8117ed">RefFullyConnectedWorkload::PostAllocationConfigure</a>()</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="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputInfo = <a class="code" href="namespacearmnn.html#a93d269806f34407695dc10f510001c30">GetTensorInfo</a>(<a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[0]);</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  BOOST_ASSERT(inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() > 1);</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  m_InputShape = inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  m_InputDecoder = MakeDecoder<float>(inputInfo);</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> </div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputInfo = <a class="code" href="namespacearmnn.html#a93d269806f34407695dc10f510001c30">GetTensorInfo</a>(<a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[0]);</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  m_OutputShape = outputInfo.GetShape();</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  m_OutputEncoder = MakeEncoder<float>(outputInfo);</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> </div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  m_NumActivations = 1; <span class="comment">// Total number of activations in the input.</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</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="l00045"></a><span class="lineno"> 45</span>  {</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  m_NumActivations *= inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[i];</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> }</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> </div><div class="line"><a name="l00050"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_fully_connected_workload.html#ae071e8822437c78baea75c3aef3a263a"> 50</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="l00051"></a><span class="lineno"> 51</span> <span class="keyword"></span>{</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <a class="code" href="_profiling_8hpp.html#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(<a class="code" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64">Compute::CpuRef</a>, <span class="stringliteral">"RefFullyConnectedWorkload_Execute"</span>);</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>  m_InputDecoder->Reset(<a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[0]->Map());</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  m_OutputEncoder->Reset(<a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[0]->Map());</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> </div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">FullyConnected</a>(m_InputShape,</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  *m_InputDecoder,</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  m_OutputShape,</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  *m_OutputEncoder,</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  *m_WeightDecoder,</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  *m_BiasDecoder,</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">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="l00064"></a><span class="lineno"> 64</span>  m_NumActivations,</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">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="l00066"></a><span class="lineno"> 66</span> }</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> </div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> } <span class="comment">//namespace armnn</span></div><div class="ttc" id="_profiling_8hpp_html_a5ccc65e2c464ac05ce311fdae7ede03a"><div class="ttname"><a href="_profiling_8hpp.html#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT(backendId, name)</div><div class="ttdef"><b>Definition:</b> <a href="_profiling_8hpp_source.html#l00170">Profiling.hpp:170</a></div></div> |
| 88 | <div class="ttc" id="classarmnn_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">virtual void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_fully_connected_workload_8cpp_source.html#l00050">RefFullyConnectedWorkload.cpp:50</a></div></div> |
| 89 | <div class="ttc" id="classarmnn_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#l00092">Tensor.hpp:92</a></div></div> |
| 90 | <div class="ttc" id="classarmnn_1_1_ref_fully_connected_workload_html_a81627f96ba06d76e147f7d392a8117ed"><div class="ttname"><a href="classarmnn_1_1_ref_fully_connected_workload.html#a81627f96ba06d76e147f7d392a8117ed">armnn::RefFullyConnectedWorkload::PostAllocationConfigure</a></div><div class="ttdeci">void PostAllocationConfigure() override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_fully_connected_workload_8cpp_source.html#l00032">RefFullyConnectedWorkload.cpp:32</a></div></div> |
| 91 | <div class="ttc" id="structarmnn_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#l00049">WorkloadData.hpp:49</a></div></div> |
| 92 | <div class="ttc" id="classarmnn_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#l00053">Tensor.hpp:53</a></div></div> |
| 93 | <div class="ttc" id="namespacestd_html"><div class="ttname"><a href="namespacestd.html">std</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_id_8hpp_source.html#l00147">BackendId.hpp:147</a></div></div> |
| 94 | <div class="ttc" id="structarmnn_1_1_fully_connected_queue_descriptor_html_ab3437cee6b0687812104fc1b37cbe8b3"><div class="ttname"><a href="structarmnn_1_1_fully_connected_queue_descriptor.html#ab3437cee6b0687812104fc1b37cbe8b3">armnn::FullyConnectedQueueDescriptor::m_Bias</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_Bias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00150">WorkloadData.hpp:150</a></div></div> |
| 95 | <div class="ttc" id="namespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">armnn::LayerType::FullyConnected</a></div></div> |
| 96 | <div class="ttc" id="structarmnn_1_1_workload_info_html"><div class="ttname"><a href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.html#l00016">WorkloadInfo.hpp:16</a></div></div> |
| 97 | <div class="ttc" id="structarmnn_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#l00386">Descriptors.hpp:386</a></div></div> |
| 98 | <div class="ttc" id="_fully_connected_8hpp_html"><div class="ttname"><a href="_fully_connected_8hpp.html">FullyConnected.hpp</a></div></div> |
| 99 | <div class="ttc" id="_ref_fully_connected_workload_8hpp_html"><div class="ttname"><a href="_ref_fully_connected_workload_8hpp.html">RefFullyConnectedWorkload.hpp</a></div></div> |
| 100 | <div class="ttc" id="classarmnn_1_1_base_workload_html_a0a487c549c63319505095b855ea3c195"><div class="ttname"><a href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">armnn::BaseWorkload< FullyConnectedQueueDescriptor >::m_Data</a></div><div class="ttdeci">const FullyConnectedQueueDescriptor m_Data</div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.html#l00046">Workload.hpp:46</a></div></div> |
| 101 | <div class="ttc" id="classarmnn_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#l00015">RefFullyConnectedWorkload.cpp:15</a></div></div> |
| 102 | <div class="ttc" id="structarmnn_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#l00388">Descriptors.hpp:388</a></div></div> |
| 103 | <div class="ttc" id="namespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8hpp_source.html#l00011">BackendHelper.hpp:11</a></div></div> |
| 104 | <div class="ttc" id="namespacearmnn_html_ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64"><div class="ttname"><a href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64">armnn::Compute::CpuRef</a></div><div class="ttdoc">CPU Execution: Reference C++ kernels. </div></div> |
| 105 | <div class="ttc" id="_profiling_8hpp_html"><div class="ttname"><a href="_profiling_8hpp.html">Profiling.hpp</a></div></div> |
| 106 | <div class="ttc" id="structarmnn_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#l00031">WorkloadData.hpp:31</a></div></div> |
| 107 | <div class="ttc" id="structarmnn_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#l00030">WorkloadData.hpp:30</a></div></div> |
| 108 | <div class="ttc" id="structarmnn_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#l00141">WorkloadData.hpp:141</a></div></div> |
| 109 | <div class="ttc" id="classarmnn_1_1_scoped_cpu_tensor_handle_html"><div class="ttname"><a href="classarmnn_1_1_scoped_cpu_tensor_handle.html">armnn::ScopedCpuTensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_cpu_tensor_handle_8hpp_source.html#l00106">CpuTensorHandle.hpp:106</a></div></div> |
| 110 | <div class="ttc" id="classarmnn_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#l00088">Tensor.hpp:88</a></div></div> |
| 111 | <div class="ttc" id="classarmnn_1_1_base_workload_html"><div class="ttname"><a href="classarmnn_1_1_base_workload.html">armnn::BaseWorkload</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.html#l00028">Workload.hpp:28</a></div></div> |
| 112 | <div class="ttc" id="namespacearmnn_html_a93d269806f34407695dc10f510001c30"><div class="ttname"><a href="namespacearmnn.html#a93d269806f34407695dc10f510001c30">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#l00025">RefWorkloadUtils.hpp:25</a></div></div> |
| 113 | <div class="ttc" id="_ref_workload_utils_8hpp_html"><div class="ttname"><a href="_ref_workload_utils_8hpp.html">RefWorkloadUtils.hpp</a></div></div> |
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| 119 | <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.html">src</a></li><li class="navelem"><a class="el" href="dir_0f3cdec46afbc61a1ded8e1687c9c9a0.html">backends</a></li><li class="navelem"><a class="el" href="dir_efae4012d0e357ebeaba7d02491d70e5.html">reference</a></li><li class="navelem"><a class="el" href="dir_d2f3b8e2e64df3181ebe92efcc0a3012.html">workloads</a></li><li class="navelem"><a class="el" href="_ref_fully_connected_workload_8cpp.html">RefFullyConnectedWorkload.cpp</a></li> |
| 120 | <li class="footer">Generated on Fri Mar 13 2020 16:06:58 for ArmNN by |
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