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| <div class="title">PadTestImpl.hpp File Reference</div> </div> |
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| <div class="textblock"><code>#include "<a class="el" href="_layer_test_result_8hpp_source.html">LayerTestResult.hpp</a>"</code><br /> |
| <code>#include <<a class="el" href="_resolve_type_8hpp_source.html">ResolveType.hpp</a>></code><br /> |
| <code>#include <<a class="el" href="_types_8hpp_source.html">armnn/Types.hpp</a>></code><br /> |
| <code>#include <<a class="el" href="include_2armnn_2backends_2_i_backend_internal_8hpp_source.html">armnn/backends/IBackendInternal.hpp</a>></code><br /> |
| <code>#include <<a class="el" href="_workload_factory_8hpp_source.html">backendsCommon/WorkloadFactory.hpp</a>></code><br /> |
| </div> |
| <p><a href="_pad_test_impl_8hpp_source.html">Go to the source code of this file.</a></p> |
| <table class="memberdecls"> |
| <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a> |
| Functions</h2></td></tr> |
| <tr class="memitem:a227a98a0681875f6a4af1b4e2154b1c0"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> |
| <tr class="memitem:a227a98a0681875f6a4af1b4e2154b1c0"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< T, 2 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_pad_test_impl_8hpp.html#a227a98a0681875f6a4af1b4e2154b1c0">Pad2dTestCommon</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, float qScale, int32_t qOffset, const float customPaddingValue=0.0f)</td></tr> |
| <tr class="separator:a227a98a0681875f6a4af1b4e2154b1c0"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a106adefa1af15bdc68068403d7e93cd3"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> |
| <tr class="memitem:a106adefa1af15bdc68068403d7e93cd3"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< T, 3 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_pad_test_impl_8hpp.html#a106adefa1af15bdc68068403d7e93cd3">Pad3dTestCommon</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, float qScale, int32_t qOffset)</td></tr> |
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| <tr class="memitem:a878a628bade11abc79cf8160c518a244"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> |
| <tr class="memitem:a878a628bade11abc79cf8160c518a244"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_pad_test_impl_8hpp.html#a878a628bade11abc79cf8160c518a244">Pad4dTestCommon</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, float qScale, int32_t qOffset)</td></tr> |
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| <tr class="memitem:af9c6d2cdf6ad5b749e618ccc6fb43311"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< uint8_t, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_pad_test_impl_8hpp.html#af9c6d2cdf6ad5b749e618ccc6fb43311">PadUint82dTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> |
| <tr class="separator:af9c6d2cdf6ad5b749e618ccc6fb43311"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a07b74f034f52a7c5dae44a74efb8019e"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< uint8_t, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_pad_test_impl_8hpp.html#a07b74f034f52a7c5dae44a74efb8019e">PadUint82dCustomPaddingTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> |
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| <tr class="memitem:abffbd2fd1db993ecf50344cf530c21b5"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< uint8_t, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_pad_test_impl_8hpp.html#abffbd2fd1db993ecf50344cf530c21b5">PadUint83dTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> |
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| <tr class="separator:a25fabb1639914c21d6704cb4d38a9c84"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aaa52b691f1734bf8ed1b983a4ccb9e7c"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< float, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_pad_test_impl_8hpp.html#aaa52b691f1734bf8ed1b983a4ccb9e7c">PadFloat322dCustomPaddingTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> |
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| <tr class="memitem:affbb9e1924205682a80918a3ee91df3f"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< float, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_pad_test_impl_8hpp.html#affbb9e1924205682a80918a3ee91df3f">PadFloat323dTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> |
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| </table> |
| <h2 class="groupheader">Function Documentation</h2> |
| <a id="a227a98a0681875f6a4af1b4e2154b1c0"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a227a98a0681875f6a4af1b4e2154b1c0">◆ </a></span>Pad2dTestCommon()</h2> |
| |
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| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><T, 2> Pad2dTestCommon </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| <td class="paramname"><em>workloadFactory</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| <td class="paramname"><em>memoryManager</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float </td> |
| <td class="paramname"><em>qScale</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int32_t </td> |
| <td class="paramname"><em>qOffset</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const float </td> |
| <td class="paramname"><em>customPaddingValue</em> = <code>0.0f</code> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
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| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_pad_test_impl_8cpp_source.html#l00020">20</a> of file <a class="el" href="_pad_test_impl_8cpp_source.html">PadTestImpl.cpp</a>.</p> |
| |
| <p class="reference">References <a class="el" href="_tensor_copy_utils_8cpp_source.html#l00014">CopyDataFromITensorHandle()</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.html#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.html#l01311">IWorkloadFactory::CreatePad()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">IWorkloadFactory::CreateTensorHandle()</a>, <a class="el" href="_descriptors_8hpp_source.html#l00920">PadDescriptor::m_PadList</a>, <a class="el" href="_descriptors_8hpp_source.html#l00923">PadDescriptor::m_PadValue</a>, <a class="el" href="_workload_data_8hpp_source.html#l00049">QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters</a>, <a class="el" href="_layer_test_result_8hpp_source.html#l00040">LayerTestResult< T, n >::output</a>, and <a class="el" href="_layer_test_result_8hpp_source.html#l00041">LayerTestResult< T, n >::outputExpected</a>.</p> |
| <div class="fragment"><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>  boost::ignore_unused(memoryManager);</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> inputShape{ 3, 3 };</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> outputShape{ 7, 7 };</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> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputTensorInfo(inputShape, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputTensorInfo(outputShape, ArmnnType, qScale, qOffset);</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>  std::vector<T> inputValues = armnnUtils::QuantizedVector<T>(</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>  <span class="comment">// Height (3) x Width (3)</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  4, 8, 6,</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  7, 4, 4,</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  3, 2, 4</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>  qScale, qOffset);</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>  <span class="keyword">auto</span> p = customPaddingValue;</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  std::vector<T> expectedOutputValues = armnnUtils::QuantizedVector<T>(</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>  p, p, p, p, p, p, p,</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  p, p, p, p, p, p, p,</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  p, p, 4, 8, 6, p, p,</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  p, p, 7, 4, 4, p, p,</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  p, p, 3, 2, 4, p, p,</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  p, p, p, p, p, p, p,</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  p, p, p, p, p, p, p</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>  qScale, qOffset);</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> </div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="keyword">auto</span> inputTensor = MakeTensor<T, 2>(inputTensorInfo, std::vector<T>(inputValues));</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>  <a class="code" href="struct_layer_test_result.html">LayerTestResult<T, 2></a> result(outputTensorInfo);</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  result.outputExpected = MakeTensor<T, 2>(outputTensorInfo, std::vector<T>(expectedOutputValues));</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> </div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo);</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> </div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <a class="code" href="structarmnn_1_1_pad_queue_descriptor.html">armnn::PadQueueDescriptor</a> descriptor;</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>  std::vector<std::pair<unsigned int, unsigned int>> padList;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  padList.push_back(std::pair<unsigned int, unsigned int>(2,2));</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  padList.push_back(std::pair<unsigned int, unsigned int>(2,2));</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> </div><div class="line"><a name="l00070"></a><span class="lineno"> 70</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_pad_descriptor.html#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a> = padList;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</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_pad_descriptor.html#a410fa919f78af0f0f100bd1594eca4ab">m_PadValue</a> = customPaddingValue;</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <a class="code" href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a> <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</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>  AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get());</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get());</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>  std::unique_ptr<armnn::IWorkload> workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#ab0c956e4a638d0a2777ecb71953f7e27">CreatePad</a>(descriptor, info);</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> </div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  inputHandle->Allocate();</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  outputHandle->Allocate();</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> </div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <a class="code" href="_tensor_copy_utils_8cpp.html#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle.get(), &inputTensor[0][0]);</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>  workload->PostAllocationConfigure();</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  workload->Execute();</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> </div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <a class="code" href="_tensor_copy_utils_8cpp.html#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(&result.output[0][0], outputHandle.get());</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> </div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> }</div><div class="ttc" id="classarmnn_1_1_i_workload_factory_html_ab0c956e4a638d0a2777ecb71953f7e27"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#ab0c956e4a638d0a2777ecb71953f7e27">armnn::IWorkloadFactory::CreatePad</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreatePad(const PadQueueDescriptor &descriptor, const WorkloadInfo &Info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.html#l01311">WorkloadFactory.cpp:1311</a></div></div> |
| <div class="ttc" id="_tensor_copy_utils_8cpp_html_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="_tensor_copy_utils_8cpp.html#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a></div><div class="ttdeci">void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.html#l00009">TensorCopyUtils.cpp:9</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div> |
| <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> |
| <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> |
| <div class="ttc" id="classarmnn_1_1_i_workload_factory_html_a15c140be4ddceffee16436f009d3ed94"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">armnn::IWorkloadFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr< ITensorHandle > CreateTensorHandle(const TensorInfo &tensorInfo, const bool IsMemoryManaged=true) const =0</div></div> |
| <div class="ttc" id="struct_layer_test_result_html"><div class="ttname"><a href="struct_layer_test_result.html">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.html#l00029">LayerTestResult.hpp:29</a></div></div> |
| <div class="ttc" id="_tensor_copy_utils_8cpp_html_a99b626c58a926dc7d6df78d22ec186c8"><div class="ttname"><a href="_tensor_copy_utils_8cpp.html#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a></div><div class="ttdeci">void CopyDataFromITensorHandle(void *memory, const armnn::ITensorHandle *tensorHandle)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.html#l00014">TensorCopyUtils.cpp:14</a></div></div> |
| <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> |
| <div class="ttc" id="structarmnn_1_1_pad_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_pad_queue_descriptor.html">armnn::PadQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00252">WorkloadData.hpp:252</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_pad_descriptor_html_a410fa919f78af0f0f100bd1594eca4ab"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.html#a410fa919f78af0f0f100bd1594eca4ab">armnn::PadDescriptor::m_PadValue</a></div><div class="ttdeci">float m_PadValue</div><div class="ttdoc">Optional value to use for padding, defaults to 0. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00923">Descriptors.hpp:923</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_pad_descriptor_html_a85f98c94e11f65a6b73f831735c040f3"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.html#a85f98c94e11f65a6b73f831735c040f3">armnn::PadDescriptor::m_PadList</a></div><div class="ttdeci">std::vector< std::pair< unsigned int, unsigned int > > m_PadList</div><div class="ttdoc">Specifies the padding for input dimension. First is the number of values to add before the tensor in ...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00920">Descriptors.hpp:920</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div> |
| </div><!-- fragment --> |
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| <a id="a106adefa1af15bdc68068403d7e93cd3"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a106adefa1af15bdc68068403d7e93cd3">◆ </a></span>Pad3dTestCommon()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><T, 3> Pad3dTestCommon </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| <td class="paramname"><em>workloadFactory</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| <td class="paramname"><em>memoryManager</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float </td> |
| <td class="paramname"><em>qScale</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int32_t </td> |
| <td class="paramname"><em>qOffset</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
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| </table> |
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| <p class="definition">Definition at line <a class="el" href="_pad_test_impl_8cpp_source.html#l00093">93</a> of file <a class="el" href="_pad_test_impl_8cpp_source.html">PadTestImpl.cpp</a>.</p> |
| |
| <p class="reference">References <a class="el" href="_tensor_copy_utils_8cpp_source.html#l00014">CopyDataFromITensorHandle()</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.html#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.html#l01311">IWorkloadFactory::CreatePad()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">IWorkloadFactory::CreateTensorHandle()</a>, <a class="el" href="_descriptors_8hpp_source.html#l00920">PadDescriptor::m_PadList</a>, <a class="el" href="_workload_data_8hpp_source.html#l00049">QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters</a>, <a class="el" href="_layer_test_result_8hpp_source.html#l00040">LayerTestResult< T, n >::output</a>, and <a class="el" href="_layer_test_result_8hpp_source.html#l00041">LayerTestResult< T, n >::outputExpected</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> {</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  boost::ignore_unused(memoryManager);</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> inputShape{ 2, 2, 2 };</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> outputShape{ 3, 5, 6 };</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> </div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputTensorInfo(inputShape, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputTensorInfo(outputShape, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> </div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  std::vector<T> inputValues = armnnUtils::QuantizedVector<T>(</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  {</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="comment">// Channel 0, Height (2) x Width (2)</span></div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  0, 4,</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  2, 5,</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> </div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="comment">// Channel 1, Height (2) x Width (2)</span></div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  6, 1,</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  5, 2</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  },</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  qScale, qOffset);</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> </div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  std::vector<T> expectedOutputValues = armnnUtils::QuantizedVector<T>(</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  {</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  0, 0, 0, 0, 0, 0,</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  0, 0, 0, 0, 0, 0,</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  0, 0, 0, 4, 0, 0,</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  0, 0, 2, 5, 0, 0,</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  0, 0, 0, 0, 0, 0,</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> </div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  0, 0, 0, 0, 0, 0,</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  0, 0, 0, 0, 0, 0,</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  0, 0, 6, 1, 0, 0,</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  0, 0, 5, 2, 0, 0,</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  0, 0, 0, 0, 0, 0,</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> </div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  0, 0, 0, 0, 0, 0,</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  0, 0, 0, 0, 0, 0,</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  0, 0, 0, 0, 0, 0,</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  0, 0, 0, 0, 0, 0,</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  0, 0, 0, 0, 0, 0</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  },</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  qScale, qOffset);</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> </div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="keyword">auto</span> inputTensor = MakeTensor<T, 3>(inputTensorInfo, std::vector<T>(inputValues));</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span> </div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <a class="code" href="struct_layer_test_result.html">LayerTestResult<T, 3></a> result(outputTensorInfo);</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  result.outputExpected = MakeTensor<T, 3>(outputTensorInfo, std::vector<T>(expectedOutputValues));</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span> </div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo);</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span> </div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <a class="code" href="structarmnn_1_1_pad_queue_descriptor.html">armnn::PadQueueDescriptor</a> descriptor;</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span> </div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  std::vector<std::pair<unsigned int, unsigned int>> PadList;</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  PadList.push_back(std::pair<unsigned int, unsigned int>(0,1));</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  PadList.push_back(std::pair<unsigned int, unsigned int>(2,1));</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  PadList.push_back(std::pair<unsigned int, unsigned int>(2,2));</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span> </div><div class="line"><a name="l00155"></a><span class="lineno"> 155</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_pad_descriptor.html#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a> = PadList;</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <a class="code" href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a> <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span> </div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get());</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span> </div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  std::unique_ptr<armnn::IWorkload> workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#ab0c956e4a638d0a2777ecb71953f7e27">CreatePad</a>(descriptor, info);</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span> </div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  inputHandle->Allocate();</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  outputHandle->Allocate();</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span> </div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <a class="code" href="_tensor_copy_utils_8cpp.html#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle.get(), &inputTensor[0][0][0]);</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span> </div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  workload->PostAllocationConfigure();</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  workload->Execute();</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> </div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <a class="code" href="_tensor_copy_utils_8cpp.html#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(&result.output[0][0][0], outputHandle.get());</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span> </div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span> }</div><div class="ttc" id="classarmnn_1_1_i_workload_factory_html_ab0c956e4a638d0a2777ecb71953f7e27"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#ab0c956e4a638d0a2777ecb71953f7e27">armnn::IWorkloadFactory::CreatePad</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreatePad(const PadQueueDescriptor &descriptor, const WorkloadInfo &Info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.html#l01311">WorkloadFactory.cpp:1311</a></div></div> |
| <div class="ttc" id="_tensor_copy_utils_8cpp_html_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="_tensor_copy_utils_8cpp.html#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a></div><div class="ttdeci">void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.html#l00009">TensorCopyUtils.cpp:9</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div> |
| <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> |
| <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> |
| <div class="ttc" id="classarmnn_1_1_i_workload_factory_html_a15c140be4ddceffee16436f009d3ed94"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">armnn::IWorkloadFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr< ITensorHandle > CreateTensorHandle(const TensorInfo &tensorInfo, const bool IsMemoryManaged=true) const =0</div></div> |
| <div class="ttc" id="struct_layer_test_result_html"><div class="ttname"><a href="struct_layer_test_result.html">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.html#l00029">LayerTestResult.hpp:29</a></div></div> |
| <div class="ttc" id="_tensor_copy_utils_8cpp_html_a99b626c58a926dc7d6df78d22ec186c8"><div class="ttname"><a href="_tensor_copy_utils_8cpp.html#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a></div><div class="ttdeci">void CopyDataFromITensorHandle(void *memory, const armnn::ITensorHandle *tensorHandle)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.html#l00014">TensorCopyUtils.cpp:14</a></div></div> |
| <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> |
| <div class="ttc" id="structarmnn_1_1_pad_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_pad_queue_descriptor.html">armnn::PadQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00252">WorkloadData.hpp:252</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_pad_descriptor_html_a85f98c94e11f65a6b73f831735c040f3"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.html#a85f98c94e11f65a6b73f831735c040f3">armnn::PadDescriptor::m_PadList</a></div><div class="ttdeci">std::vector< std::pair< unsigned int, unsigned int > > m_PadList</div><div class="ttdoc">Specifies the padding for input dimension. First is the number of values to add before the tensor in ...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00920">Descriptors.hpp:920</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div> |
| </div><!-- fragment --> |
| </div> |
| </div> |
| <a id="a878a628bade11abc79cf8160c518a244"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a878a628bade11abc79cf8160c518a244">◆ </a></span>Pad4dTestCommon()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><T, 4> Pad4dTestCommon </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| <td class="paramname"><em>workloadFactory</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| <td class="paramname"><em>memoryManager</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float </td> |
| <td class="paramname"><em>qScale</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int32_t </td> |
| <td class="paramname"><em>qOffset</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_pad_test_impl_8cpp_source.html#l00177">177</a> of file <a class="el" href="_pad_test_impl_8cpp_source.html">PadTestImpl.cpp</a>.</p> |
| |
| <p class="reference">References <a class="el" href="_tensor_copy_utils_8cpp_source.html#l00014">CopyDataFromITensorHandle()</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.html#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.html#l01311">IWorkloadFactory::CreatePad()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">IWorkloadFactory::CreateTensorHandle()</a>, <a class="el" href="_descriptors_8hpp_source.html#l00920">PadDescriptor::m_PadList</a>, <a class="el" href="_workload_data_8hpp_source.html#l00049">QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters</a>, <a class="el" href="_layer_test_result_8hpp_source.html#l00040">LayerTestResult< T, n >::output</a>, and <a class="el" href="_layer_test_result_8hpp_source.html#l00041">LayerTestResult< T, n >::outputExpected</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00182"></a><span class="lineno"> 182</span> {</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  boost::ignore_unused(memoryManager);</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> inputShape{ 2, 2, 3, 2 };</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> outputShape{ 4, 5, 7, 4 };</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span> </div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputTensorInfo(inputShape, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputTensorInfo(outputShape, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span> </div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  std::vector<T> inputValues = armnnUtils::QuantizedVector<T>(</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  {</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="comment">// Batch 0, Channel 0, Height (3) x Width (2)</span></div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  0, 1,</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  2, 3,</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  4, 5,</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span> </div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <span class="comment">// Batch 0, Channel 1, Height (3) x Width (2)</span></div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  6, 7,</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  8, 9,</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  10, 11,</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span> </div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <span class="comment">// Batch 1, Channel 0, Height (3) x Width (2)</span></div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  12, 13,</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  14, 15,</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  16, 17,</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span> </div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="comment">// Batch 1, Channel 1, Height (3) x Width (2)</span></div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  18, 19,</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  20, 21,</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  22, 23</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  },</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  qScale, qOffset);</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span> </div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  std::vector<T> expectedOutputValues = armnnUtils::QuantizedVector<T>(</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  {</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  0, 0, 0, 0,</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  0, 0, 0, 0,</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  0, 0, 0, 0,</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  0, 0, 0, 0,</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  0, 0, 0, 0,</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  0, 0, 0, 0,</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  0, 0, 0, 0,</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span> </div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  0, 0, 0, 0,</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  0, 0, 0, 0,</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  0, 0, 0, 0,</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  0, 0, 0, 0,</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  0, 0, 0, 0,</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  0, 0, 0, 0,</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  0, 0, 0, 0,</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span> </div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  0, 0, 0, 0,</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  0, 0, 0, 0,</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  0, 0, 0, 0,</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  0, 0, 0, 0,</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  0, 0, 0, 0,</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  0, 0, 0, 0,</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  0, 0, 0, 0,</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span> </div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  0, 0, 0, 0,</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  0, 0, 0, 0,</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  0, 0, 0, 0,</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  0, 0, 0, 0,</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  0, 0, 0, 0,</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  0, 0, 0, 0,</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  0, 0, 0, 0,</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span> </div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  0, 0, 0, 0,</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  0, 0, 0, 0,</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  0, 0, 0, 0,</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  0, 0, 0, 0,</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  0, 0, 0, 0,</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  0, 0, 0, 0,</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  0, 0, 0, 0,</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span> </div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  0, 0, 0, 0,</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  0, 0, 0, 0,</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  0, 0, 0, 0,</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  0, 0, 0, 0,</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  0, 0, 0, 0,</div><div class="line"><a name="l00261"></a><span class="lineno"> 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std::vector<T>(expectedOutputValues));</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span> </div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo);</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span> </div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  <a class="code" href="structarmnn_1_1_pad_queue_descriptor.html">armnn::PadQueueDescriptor</a> descriptor;</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span> </div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  std::vector<std::pair<unsigned int, unsigned int>> PadList;</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  PadList.push_back(std::pair<unsigned int, unsigned int>(1,1));</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  PadList.push_back(std::pair<unsigned int, unsigned int>(2,1));</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  PadList.push_back(std::pair<unsigned int, unsigned int>(3,1));</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  PadList.push_back(std::pair<unsigned int, unsigned int>(1,1));</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span> </div><div class="line"><a name="l00394"></a><span class="lineno"> 394</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_pad_descriptor.html#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a> = PadList;</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  <a class="code" href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a> <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span> </div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get());</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span> </div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  std::unique_ptr<armnn::IWorkload> workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#ab0c956e4a638d0a2777ecb71953f7e27">CreatePad</a>(descriptor, info);</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span> </div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  inputHandle->Allocate();</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  outputHandle->Allocate();</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span> </div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  <a class="code" href="_tensor_copy_utils_8cpp.html#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle.get(), &inputTensor[0][0][0][0]);</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span> </div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  workload->PostAllocationConfigure();</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  workload->Execute();</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span> </div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  <a class="code" href="_tensor_copy_utils_8cpp.html#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(&result.output[0][0][0][0], outputHandle.get());</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span> </div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span> }</div><div class="ttc" id="classarmnn_1_1_i_workload_factory_html_ab0c956e4a638d0a2777ecb71953f7e27"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#ab0c956e4a638d0a2777ecb71953f7e27">armnn::IWorkloadFactory::CreatePad</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreatePad(const PadQueueDescriptor &descriptor, const WorkloadInfo &Info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.html#l01311">WorkloadFactory.cpp:1311</a></div></div> |
| <div class="ttc" id="_tensor_copy_utils_8cpp_html_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="_tensor_copy_utils_8cpp.html#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a></div><div class="ttdeci">void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.html#l00009">TensorCopyUtils.cpp:9</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div> |
| <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> |
| <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> |
| <div class="ttc" id="classarmnn_1_1_i_workload_factory_html_a15c140be4ddceffee16436f009d3ed94"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">armnn::IWorkloadFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr< ITensorHandle > CreateTensorHandle(const TensorInfo &tensorInfo, const bool IsMemoryManaged=true) const =0</div></div> |
| <div class="ttc" id="struct_layer_test_result_html"><div class="ttname"><a href="struct_layer_test_result.html">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.html#l00029">LayerTestResult.hpp:29</a></div></div> |
| <div class="ttc" id="_tensor_copy_utils_8cpp_html_a99b626c58a926dc7d6df78d22ec186c8"><div class="ttname"><a href="_tensor_copy_utils_8cpp.html#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a></div><div class="ttdeci">void CopyDataFromITensorHandle(void *memory, const armnn::ITensorHandle *tensorHandle)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.html#l00014">TensorCopyUtils.cpp:14</a></div></div> |
| <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> |
| <div class="ttc" id="structarmnn_1_1_pad_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_pad_queue_descriptor.html">armnn::PadQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00252">WorkloadData.hpp:252</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_pad_descriptor_html_a85f98c94e11f65a6b73f831735c040f3"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.html#a85f98c94e11f65a6b73f831735c040f3">armnn::PadDescriptor::m_PadList</a></div><div class="ttdeci">std::vector< std::pair< unsigned int, unsigned int > > m_PadList</div><div class="ttdoc">Specifies the padding for input dimension. First is the number of values to add before the tensor in ...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00920">Descriptors.hpp:920</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div> |
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| <h2 class="memtitle"><span class="permalink"><a href="#aaa52b691f1734bf8ed1b983a4ccb9e7c">◆ </a></span>PadFloat322dCustomPaddingTest()</h2> |
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| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><float, 2> PadFloat322dCustomPaddingTest </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| <td class="paramname"><em>workloadFactory</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| <td class="paramname"><em>memoryManager</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
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| <p class="definition">Definition at line <a class="el" href="_pad_test_impl_8cpp_source.html#l00480">480</a> of file <a class="el" href="_pad_test_impl_8cpp_source.html">PadTestImpl.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00483"></a><span class="lineno"> 483</span> {</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  <span class="keywordflow">return</span> Pad2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0, 1.0f);</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span> }</div></div><!-- fragment --> |
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| </div> |
| <a id="a25fabb1639914c21d6704cb4d38a9c84"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a25fabb1639914c21d6704cb4d38a9c84">◆ </a></span>PadFloat322dTest()</h2> |
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| <div class="memitem"> |
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| <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><float, 2> PadFloat322dTest </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| <td class="paramname"><em>workloadFactory</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| <td class="paramname"><em>memoryManager</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
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| </table> |
| </div><div class="memdoc"> |
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| <p class="definition">Definition at line <a class="el" href="_pad_test_impl_8cpp_source.html#l00473">473</a> of file <a class="el" href="_pad_test_impl_8cpp_source.html">PadTestImpl.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00476"></a><span class="lineno"> 476</span> {</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  <span class="keywordflow">return</span> Pad2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span> }</div></div><!-- fragment --> |
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| </div> |
| <a id="affbb9e1924205682a80918a3ee91df3f"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#affbb9e1924205682a80918a3ee91df3f">◆ </a></span>PadFloat323dTest()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
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| <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><float, 3> PadFloat323dTest </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| <td class="paramname"><em>workloadFactory</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| <td class="paramname"><em>memoryManager</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p class="definition">Definition at line <a class="el" href="_pad_test_impl_8cpp_source.html#l00487">487</a> of file <a class="el" href="_pad_test_impl_8cpp_source.html">PadTestImpl.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00490"></a><span class="lineno"> 490</span> {</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  <span class="keywordflow">return</span> Pad3dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span> }</div></div><!-- fragment --> |
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| <a id="a154b1f8adf21e8e368d27882d02c0abd"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a154b1f8adf21e8e368d27882d02c0abd">◆ </a></span>PadFloat324dTest()</h2> |
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| <div class="memitem"> |
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| <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><float, 4> PadFloat324dTest </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| <td class="paramname"><em>workloadFactory</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| <td class="paramname"><em>memoryManager</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
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| </table> |
| </div><div class="memdoc"> |
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| <p class="definition">Definition at line <a class="el" href="_pad_test_impl_8cpp_source.html#l00494">494</a> of file <a class="el" href="_pad_test_impl_8cpp_source.html">PadTestImpl.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00497"></a><span class="lineno"> 497</span> {</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  <span class="keywordflow">return</span> Pad4dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span> }</div></div><!-- fragment --> |
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| <a id="a07b74f034f52a7c5dae44a74efb8019e"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a07b74f034f52a7c5dae44a74efb8019e">◆ </a></span>PadUint82dCustomPaddingTest()</h2> |
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| <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><uint8_t, 2> PadUint82dCustomPaddingTest </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| <td class="paramname"><em>workloadFactory</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| <td class="paramname"><em>memoryManager</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
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| <p class="definition">Definition at line <a class="el" href="_pad_test_impl_8cpp_source.html#l00452">452</a> of file <a class="el" href="_pad_test_impl_8cpp_source.html">PadTestImpl.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00455"></a><span class="lineno"> 455</span> {</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  <span class="keywordflow">return</span> Pad2dTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, 1.0f, 0, 1.0f);</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span> }</div></div><!-- fragment --> |
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| <a id="af9c6d2cdf6ad5b749e618ccc6fb43311"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#af9c6d2cdf6ad5b749e618ccc6fb43311">◆ </a></span>PadUint82dTest()</h2> |
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| <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><uint8_t, 2> PadUint82dTest </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| <td class="paramname"><em>workloadFactory</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| <td class="paramname"><em>memoryManager</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
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| </table> |
| </div><div class="memdoc"> |
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| <p class="definition">Definition at line <a class="el" href="_pad_test_impl_8cpp_source.html#l00445">445</a> of file <a class="el" href="_pad_test_impl_8cpp_source.html">PadTestImpl.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00448"></a><span class="lineno"> 448</span> {</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  <span class="keywordflow">return</span> Pad2dTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, 1.0f, 0);</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span> }</div></div><!-- fragment --> |
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| <a id="abffbd2fd1db993ecf50344cf530c21b5"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#abffbd2fd1db993ecf50344cf530c21b5">◆ </a></span>PadUint83dTest()</h2> |
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| <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><uint8_t, 3> PadUint83dTest </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| <td class="paramname"><em>workloadFactory</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| <td class="paramname"><em>memoryManager</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
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| </table> |
| </div><div class="memdoc"> |
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| <p class="definition">Definition at line <a class="el" href="_pad_test_impl_8cpp_source.html#l00459">459</a> of file <a class="el" href="_pad_test_impl_8cpp_source.html">PadTestImpl.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00462"></a><span class="lineno"> 462</span> {</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  <span class="keywordflow">return</span> Pad3dTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, 1.0f, 0);</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span> }</div></div><!-- fragment --> |
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| <a id="a00264a85539177528b812af3df9a664a"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a00264a85539177528b812af3df9a664a">◆ </a></span>PadUint84dTest()</h2> |
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| <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><uint8_t, 4> PadUint84dTest </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| <td class="paramname"><em>workloadFactory</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| <td class="paramname"><em>memoryManager</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
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| </table> |
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| <p class="definition">Definition at line <a class="el" href="_pad_test_impl_8cpp_source.html#l00466">466</a> of file <a class="el" href="_pad_test_impl_8cpp_source.html">PadTestImpl.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00469"></a><span class="lineno"> 469</span> {</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  <span class="keywordflow">return</span> Pad4dTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, 1.0f, 0);</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span> }</div></div><!-- fragment --> |
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