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| author | Nikhil Raj <nikhil.raj@arm.com> | 2024-02-15 15:02:19 +0000 |
|---|---|---|
| committer | Nikhil Raj <nikhil.raj@arm.com> | 2024-02-15 15:02:19 +0000 |
| commit | 38b600d8abb2c5f7a44511b5deddf441f975d51d (patch) | |
| tree | 32a082a9e39f3af53d8678a5c18dee67a7f572ec /latest/classarmnn_1_1_cl_constant_workload.html | |
| parent | 6f92c8e9f8bb38dcf5dccf8deeff5112ecd8e37c (diff) | |
| download | armnn-38b600d8abb2c5f7a44511b5deddf441f975d51d.tar.gz | |
IVGCVSW-7968 Update Doxygen docu for 24.02
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I8c1e45815c6cf78f80d6f2c0959a5bbba6cd11de
Diffstat (limited to 'latest/classarmnn_1_1_cl_constant_workload.html')
| -rw-r--r-- | latest/classarmnn_1_1_cl_constant_workload.html | 20 |
1 files changed, 10 insertions, 10 deletions
diff --git a/latest/classarmnn_1_1_cl_constant_workload.html b/latest/classarmnn_1_1_cl_constant_workload.html index 1f5c3f9896..252bbdca7e 100644 --- a/latest/classarmnn_1_1_cl_constant_workload.html +++ b/latest/classarmnn_1_1_cl_constant_workload.html @@ -36,7 +36,7 @@ <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 15rem; margin-top: .5rem; margin-left 13px"/> <td id="projectalign" style="padding-left: 0.9em;"> <div id="projectname"> -  <span id="projectnumber">23.11</span> +  <span id="projectnumber">24.02</span> </div> </td> </tr> @@ -261,38 +261,38 @@ Additional Inherited Members</h2></td></tr> <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>  <span class="keywordflow">case</span> arm_compute::DataType::F16:</div> <div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  {</div> -<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <a class="code" href="namespacearmnn.html#a73447f827b995cf90d4029151514b4ba">CopyArmComputeClTensorData</a>(output, data.m_LayerOutput->GetConstTensor<<a class="code" href="namespacearmnn.html#a0b49aa352b84d572942185ce72cef751">Half</a>>());</div> +<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <a class="code" href="namespacearmnn.html#a80bf40fafb5d10cd4d2a27c515052e2e">CopyArmComputeClTensorData</a>(output, data.m_LayerOutput->GetConstTensor<<a class="code" href="namespacearmnn.html#a0b49aa352b84d572942185ce72cef751">Half</a>>());</div> <div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keywordflow">break</span>;</div> <div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  }</div> <div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keywordflow">case</span> arm_compute::DataType::F32:</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>  <a class="code" href="namespacearmnn.html#a73447f827b995cf90d4029151514b4ba">CopyArmComputeClTensorData</a>(output, data.m_LayerOutput->GetConstTensor<<span class="keywordtype">float</span>>());</div> +<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <a class="code" href="namespacearmnn.html#a80bf40fafb5d10cd4d2a27c515052e2e">CopyArmComputeClTensorData</a>(output, data.m_LayerOutput->GetConstTensor<<span class="keywordtype">float</span>>());</div> <div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keywordflow">break</span>;</div> <div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  }</div> <div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keywordflow">case</span> arm_compute::DataType::QASYMM8:</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="namespacearmnn.html#a73447f827b995cf90d4029151514b4ba">CopyArmComputeClTensorData</a>(output, data.m_LayerOutput->GetConstTensor<uint8_t>());</div> +<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <a class="code" href="namespacearmnn.html#a80bf40fafb5d10cd4d2a27c515052e2e">CopyArmComputeClTensorData</a>(output, data.m_LayerOutput->GetConstTensor<uint8_t>());</div> <div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keywordflow">break</span>;</div> <div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  }</div> <div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keywordflow">case</span> arm_compute::DataType::QASYMM8_SIGNED:</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="namespacearmnn.html#a73447f827b995cf90d4029151514b4ba">CopyArmComputeClTensorData</a>(output, data.m_LayerOutput->GetConstTensor<int8_t>());</div> +<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <a class="code" href="namespacearmnn.html#a80bf40fafb5d10cd4d2a27c515052e2e">CopyArmComputeClTensorData</a>(output, data.m_LayerOutput->GetConstTensor<int8_t>());</div> <div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keywordflow">break</span>;</div> <div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  }</div> <div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keywordflow">case</span> arm_compute::DataType::QSYMM16:</div> <div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  {</div> -<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <a class="code" href="namespacearmnn.html#a73447f827b995cf90d4029151514b4ba">CopyArmComputeClTensorData</a>(output, data.m_LayerOutput->GetConstTensor<int16_t>());</div> +<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <a class="code" href="namespacearmnn.html#a80bf40fafb5d10cd4d2a27c515052e2e">CopyArmComputeClTensorData</a>(output, data.m_LayerOutput->GetConstTensor<int16_t>());</div> <div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keywordflow">break</span>;</div> <div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  }</div> <div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="keywordflow">case</span> arm_compute::DataType::QSYMM8:</div> <div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keywordflow">case</span> arm_compute::DataType::QSYMM8_PER_CHANNEL:</div> <div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  {</div> -<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <a class="code" href="namespacearmnn.html#a73447f827b995cf90d4029151514b4ba">CopyArmComputeClTensorData</a>(output, data.m_LayerOutput->GetConstTensor<int8_t>());</div> +<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <a class="code" href="namespacearmnn.html#a80bf40fafb5d10cd4d2a27c515052e2e">CopyArmComputeClTensorData</a>(output, data.m_LayerOutput->GetConstTensor<int8_t>());</div> <div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="keywordflow">break</span>;</div> <div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  }</div> <div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keywordflow">case</span> arm_compute::DataType::S32:</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>  <a class="code" href="namespacearmnn.html#a73447f827b995cf90d4029151514b4ba">CopyArmComputeClTensorData</a>(output, data.m_LayerOutput->GetConstTensor<int32_t>());</div> +<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <a class="code" href="namespacearmnn.html#a80bf40fafb5d10cd4d2a27c515052e2e">CopyArmComputeClTensorData</a>(output, data.m_LayerOutput->GetConstTensor<int32_t>());</div> <div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keywordflow">break</span>;</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>  <span class="keywordflow">default</span>:</div> @@ -318,8 +318,8 @@ Additional Inherited Members</h2></td></tr> </div><!-- doc-content --> <div class="ttc" id="a_assert_8hpp_html_a5698be69cbd5dfe6c28fcd9867e8cbed"><div class="ttname"><a href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a></div><div class="ttdeci">#define ARMNN_ASSERT(COND)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.html#l00014">Assert.hpp:14</a></div></div> <div class="ttc" id="anamespacearmnn_html_a0b49aa352b84d572942185ce72cef751"><div class="ttname"><a href="namespacearmnn.html#a0b49aa352b84d572942185ce72cef751">armnn::Half</a></div><div class="ttdeci">half_float::half Half</div><div class="ttdef"><b>Definition:</b> <a href="_half_8hpp_source.html#l00022">Half.hpp:22</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a80bf40fafb5d10cd4d2a27c515052e2e"><div class="ttname"><a href="namespacearmnn.html#a80bf40fafb5d10cd4d2a27c515052e2e">armnn::CopyArmComputeClTensorData</a></div><div class="ttdeci">void CopyArmComputeClTensorData(arm_compute::CLTensor &dstTensor, const T *srcData)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_workload_utils_8hpp_source.html#l00064">ClWorkloadUtils.hpp:64</a></div></div> <div class="ttc" id="a_assert_8hpp_html_a91c4dfde57907d7698c7531785690a7f"><div class="ttname"><a href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a></div><div class="ttdeci">#define ARMNN_ASSERT_MSG(COND, MSG)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.html#l00015">Assert.hpp:15</a></div></div> -<div class="ttc" id="anamespacearmnn_html_a73447f827b995cf90d4029151514b4ba"><div class="ttname"><a href="namespacearmnn.html#a73447f827b995cf90d4029151514b4ba">armnn::CopyArmComputeClTensorData</a></div><div class="ttdeci">void CopyArmComputeClTensorData(arm_compute::CLTensor &dstTensor, const T *srcData)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_workload_utils_8hpp_source.html#l00064">ClWorkloadUtils.hpp:64</a></div></div> <div class="ttc" id="a_cl_workload_utils_8hpp_html_a2d57ef1645138f5f8a6dbd2ce92dc072"><div class="ttname"><a href="_cl_workload_utils_8hpp.html#a2d57ef1645138f5f8a6dbd2ce92dc072">ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID(label)</div><div class="ttdoc">Creates a profiling event that uses GetGuid() and GetName() from the calling class.</div><div class="ttdef"><b>Definition:</b> <a href="_cl_workload_utils_8hpp_source.html#l00036">ClWorkloadUtils.hpp:36</a></div></div> <div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00048">Types.hpp:48</a></div></div> <div class="ttc" id="aclassarmnn_1_1_base_workload_html_afb8d2c8817c75de9d01a4c0e0d5c160b"><div class="ttname"><a href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">armnn::BaseWorkload< ConstantQueueDescriptor >::m_Data</a></div><div class="ttdeci">ConstantQueueDescriptor m_Data</div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.html#l00089">Workload.hpp:89</a></div></div> @@ -327,7 +327,7 @@ Additional Inherited Members</h2></td></tr> <div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> <ul> <li class="navelem"><a class="el" href="namespacearmnn.html">armnn</a></li><li class="navelem"><a class="el" href="classarmnn_1_1_cl_constant_workload.html">ClConstantWorkload</a></li> - <li class="footer">Generated on Wed Nov 22 2023 10:57:12 for Arm NN by + <li class="footer">Generated on Wed Feb 14 2024 16:36:21 for Arm NN by <a href="http://www.doxygen.org/index.html"> <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.17 </li> </ul> |