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author | Nikhil Raj <nikhil.raj@arm.com> | 2022-08-19 15:23:36 +0100 |
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committer | Nikhil Raj <nikhil.raj@arm.com> | 2022-08-19 15:23:36 +0100 |
commit | 7bfd38a721360183f3392f9ab35db18a0dd7fef8 (patch) | |
tree | 5b4da2f2e88636c939afbafa2571170297114e40 /22.08/_reduce_prod_test_impl_8cpp.xhtml | |
parent | d5d43d82c0137e08553e44345c609cdd1a7931c7 (diff) | |
download | armnn-7bfd38a721360183f3392f9ab35db18a0dd7fef8.tar.gz |
Update Doxygen for 22.08 Release
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I4789fe868e0492839be1482e5cee3642ed90d756
Diffstat (limited to '22.08/_reduce_prod_test_impl_8cpp.xhtml')
-rw-r--r-- | 22.08/_reduce_prod_test_impl_8cpp.xhtml | 532 |
1 files changed, 532 insertions, 0 deletions
diff --git a/22.08/_reduce_prod_test_impl_8cpp.xhtml b/22.08/_reduce_prod_test_impl_8cpp.xhtml new file mode 100644 index 0000000000..34502319f3 --- /dev/null +++ b/22.08/_reduce_prod_test_impl_8cpp.xhtml @@ -0,0 +1,532 @@ +<!-- Copyright (c) 2020 ARM Limited. --> +<!-- --> +<!-- SPDX-License-Identifier: MIT --> +<!-- --> +<!-- HTML header for doxygen 1.8.13--> +<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> +<html xmlns="http://www.w3.org/1999/xhtml"> +<head> +<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/> +<meta http-equiv="X-UA-Compatible" content="IE=9"/> +<meta name="generator" content="Doxygen 1.8.13"/> +<meta name="robots" content="NOINDEX, NOFOLLOW" /> +<meta name="viewport" content="width=device-width, initial-scale=1"/> +<title>ArmNN: src/backends/backendsCommon/test/layerTests/ReduceProdTestImpl.cpp File Reference</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> 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class="headertitle"> +<div class="title">ReduceProdTestImpl.cpp File Reference</div> </div> +</div><!--header--> +<div class="contents"> +<div class="textblock"><code>#include "<a class="el" href="_reduce_prod_test_impl_8hpp_source.xhtml">ReduceProdTestImpl.hpp</a>"</code><br /> +<code>#include <DataTypeUtils.hpp></code><br /> +<code>#include <<a class="el" href="include_2armnn_test_utils_2_tensor_copy_utils_8hpp_source.xhtml">armnnTestUtils/TensorCopyUtils.hpp</a>></code><br /> +<code>#include <<a class="el" href="include_2armnn_test_utils_2_workload_test_utils_8hpp_source.xhtml">armnnTestUtils/WorkloadTestUtils.hpp</a>></code><br /> +<code>#include <<a class="el" href="include_2armnn_test_utils_2_tensor_helpers_8hpp_source.xhtml">armnnTestUtils/TensorHelpers.hpp</a>></code><br /> +</div> +<p><a href="_reduce_prod_test_impl_8cpp_source.xhtml">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:a3a9db827f0b30349cdd65370c98867bb"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T > </td></tr> +<tr class="memitem:a3a9db827f0b30349cdd65370c98867bb"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_reduce_prod_test_impl_8cpp.xhtml#a3a9db827f0b30349cdd65370c98867bb">ReduceProdSimpleTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:a3a9db827f0b30349cdd65370c98867bb"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a13e788502df43372008ce2d69806cc23"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T > </td></tr> +<tr class="memitem:a13e788502df43372008ce2d69806cc23"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_reduce_prod_test_impl_8cpp.xhtml#a13e788502df43372008ce2d69806cc23">ReduceProdSingleAxisTest1</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:a13e788502df43372008ce2d69806cc23"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ae192445a97cbf65f82ce414eb18ebd8b"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T > </td></tr> +<tr class="memitem:ae192445a97cbf65f82ce414eb18ebd8b"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_reduce_prod_test_impl_8cpp.xhtml#ae192445a97cbf65f82ce414eb18ebd8b">ReduceProdSingleAxisTest2</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:ae192445a97cbf65f82ce414eb18ebd8b"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a1072acdb451827da018fd826cc2c93c1"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T > </td></tr> +<tr class="memitem:a1072acdb451827da018fd826cc2c93c1"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_reduce_prod_test_impl_8cpp.xhtml#a1072acdb451827da018fd826cc2c93c1">ReduceProdSingleAxisTest3</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:a1072acdb451827da018fd826cc2c93c1"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a9215f8f35d28ed559ae6f4f2b456cc7e"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T > </td></tr> +<tr class="memitem:a9215f8f35d28ed559ae6f4f2b456cc7e"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_reduce_prod_test_impl_8cpp.xhtml#a9215f8f35d28ed559ae6f4f2b456cc7e">ReduceProdMultipleAxisTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:a9215f8f35d28ed559ae6f4f2b456cc7e"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ad727d8d3d57ebcb0267dcb810b9ea520"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_reduce_prod_test_impl_8cpp.xhtml#ad727d8d3d57ebcb0267dcb810b9ea520">ReduceProdSimpleTest< armnn::DataType::Float32 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:ad727d8d3d57ebcb0267dcb810b9ea520"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a87167c4e094cc5278eba5b6a8e00355e"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_reduce_prod_test_impl_8cpp.xhtml#a87167c4e094cc5278eba5b6a8e00355e">ReduceProdSingleAxisTest1< armnn::DataType::Float32 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:a87167c4e094cc5278eba5b6a8e00355e"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ad4b503cc4a48beafa7dc0860d6ec8a5f"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_reduce_prod_test_impl_8cpp.xhtml#ad4b503cc4a48beafa7dc0860d6ec8a5f">ReduceProdSingleAxisTest2< armnn::DataType::Float32 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:ad4b503cc4a48beafa7dc0860d6ec8a5f"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aaf2c9eed4e47a04966308b8a18b10205"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_reduce_prod_test_impl_8cpp.xhtml#aaf2c9eed4e47a04966308b8a18b10205">ReduceProdSingleAxisTest3< armnn::DataType::Float32 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:aaf2c9eed4e47a04966308b8a18b10205"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a317f9e32f888c81d09767d5589d5bf08"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_reduce_prod_test_impl_8cpp.xhtml#a317f9e32f888c81d09767d5589d5bf08">ReduceProdMultipleAxisTest< armnn::DataType::Float32 ></a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:a317f9e32f888c81d09767d5589d5bf08"><td class="memSeparator" colspan="2"> </td></tr> +</table> +<h2 class="groupheader">Function Documentation</h2> +<a id="a9215f8f35d28ed559ae6f4f2b456cc7e"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a9215f8f35d28ed559ae6f4f2b456cc7e">◆ </a></span>ReduceProdMultipleAxisTest()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><float, 4> ReduceProdMultipleAxisTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">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.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</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="_reduce_prod_test_impl_8cpp_source.xhtml#l00278">278</a> of file <a class="el" href="_reduce_prod_test_impl_8cpp_source.xhtml">ReduceProdTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0a362a33c23b08e4a32a4ec53fbb82cccd">armnn::Prod</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00489">TensorInfo::SetQuantizationOffset()</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00473">TensorInfo::SetQuantizationScale()</a>.</p> +<div class="fragment"><div class="line"><a name="l00282"></a><span class="lineno"> 282</span> {</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputShape{ 1, 3, 2, 4 };</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> outputShape{ 1, 1, 1, 4 };</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span> </div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo(inputShape, ArmnnType);</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span> </div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  <span class="keywordflow">if</span> (armnn::IsQuantizedType<T>())</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  {</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  inputTensorInfo.SetQuantizationScale(1.0f);</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  inputTensorInfo.SetQuantizationOffset(0);</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  }</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span> </div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo(outputShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span> </div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  std::vector<float> inputValues({ 1.0f, 2.0f, 3.0f, 4.0f,</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  5.0f, 6.0f, 7.0f, 8.0f,</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span> </div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  10.0f, 20.0f, 30.0f, 40.0f,</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  50.0f, 60.0f, 70.0f, 80.0f,</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span> </div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  11.0f, 22.0f, 33.0f, 44.0f,</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  55.0f, 66.0f, 77.0f, 88.0f });</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  std::vector<float> outputValues({ 1512500.f, 20908800.f, 112058100.f, 396492800.f });</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span> </div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  <span class="keywordflow">return</span> ReduceTestCommon<ArmnnType>(workloadFactory,</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  memoryManager,</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  tensorHandleFactory,</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  inputTensorInfo,</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  outputTensorInfo,</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  inputValues,</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  outputValues,</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  { 1, 2 },</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <a class="code" href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0a362a33c23b08e4a32a4ec53fbb82cccd">armnn::ReduceOperation::Prod</a>);</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_abc05539fc6e7907f32ef0fb242e3b3b0a362a33c23b08e4a32a4ec53fbb82cccd"><div class="ttname"><a href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0a362a33c23b08e4a32a4ec53fbb82cccd">armnn::ReduceOperation::Prod</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a317f9e32f888c81d09767d5589d5bf08"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a317f9e32f888c81d09767d5589d5bf08">◆ </a></span>ReduceProdMultipleAxisTest< armnn::DataType::Float32 >()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><float, 4> <a class="el" href="_reduce_prod_test_impl_8hpp.xhtml#a9215f8f35d28ed559ae6f4f2b456cc7e">ReduceProdMultipleAxisTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a> > </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">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.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +</div> +</div> +<a id="a3a9db827f0b30349cdd65370c98867bb"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a3a9db827f0b30349cdd65370c98867bb">◆ </a></span>ReduceProdSimpleTest()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><float, 4> ReduceProdSimpleTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">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.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</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="_reduce_prod_test_impl_8cpp_source.xhtml#l00084">84</a> of file <a class="el" href="_reduce_prod_test_impl_8cpp_source.xhtml">ReduceProdTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0a362a33c23b08e4a32a4ec53fbb82cccd">armnn::Prod</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00489">TensorInfo::SetQuantizationOffset()</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00473">TensorInfo::SetQuantizationScale()</a>.</p> +<div class="fragment"><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="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputShape{ 1, 1, 1, 5 };</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> outputShape{ 1, 1, 1, 1 };</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="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo(inputShape, ArmnnType);</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> </div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keywordflow">if</span> (armnn::IsQuantizedType<T>())</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  {</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  inputTensorInfo.SetQuantizationScale(1.0f);</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  inputTensorInfo.SetQuantizationOffset(0);</div><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> </div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo(outputShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> </div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  std::vector<float> inputValues({ 5.0f, 2.0f, 8.0f, 10.0f, 9.0f });</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  std::vector<float> outputValues({ 7200.0f });</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> </div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="keywordflow">return</span> ReduceTestCommon<ArmnnType>(workloadFactory,</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  memoryManager,</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  tensorHandleFactory,</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  inputTensorInfo,</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  outputTensorInfo,</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  inputValues,</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  outputValues,</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  { -1 },</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <a class="code" href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0a362a33c23b08e4a32a4ec53fbb82cccd">armnn::ReduceOperation::Prod</a>);</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_abc05539fc6e7907f32ef0fb242e3b3b0a362a33c23b08e4a32a4ec53fbb82cccd"><div class="ttname"><a href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0a362a33c23b08e4a32a4ec53fbb82cccd">armnn::ReduceOperation::Prod</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="ad727d8d3d57ebcb0267dcb810b9ea520"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ad727d8d3d57ebcb0267dcb810b9ea520">◆ </a></span>ReduceProdSimpleTest< armnn::DataType::Float32 >()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><float, 4> <a class="el" href="_reduce_prod_test_impl_8hpp.xhtml#a3a9db827f0b30349cdd65370c98867bb">ReduceProdSimpleTest</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a> > </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">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.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +</div> +</div> +<a id="a13e788502df43372008ce2d69806cc23"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a13e788502df43372008ce2d69806cc23">◆ </a></span>ReduceProdSingleAxisTest1()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><float, 4> ReduceProdSingleAxisTest1 </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">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.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</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="_reduce_prod_test_impl_8cpp_source.xhtml#l00117">117</a> of file <a class="el" href="_reduce_prod_test_impl_8cpp_source.xhtml">ReduceProdTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0a362a33c23b08e4a32a4ec53fbb82cccd">armnn::Prod</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00489">TensorInfo::SetQuantizationOffset()</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00473">TensorInfo::SetQuantizationScale()</a>.</p> +<div class="fragment"><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> {</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputShape{ 1, 3, 2, 4 };</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> outputShape{ 1, 1, 2, 4 };</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> </div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo(inputShape, ArmnnType);</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> </div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="keywordflow">if</span> (armnn::IsQuantizedType<T>())</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  {</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  inputTensorInfo.SetQuantizationScale(1.0f);</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  inputTensorInfo.SetQuantizationOffset(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> </div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo(outputShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> </div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  std::vector<float> inputValues({ 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f,</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  10.0f, 20.0f, 30.0f, 40.0f, 50.0f, 60.0f, 70.0f, 80.0f,</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  100.0f, 200.0f, 300.0f, 400.0f, 500.0f, 600.0f, 700.0f, 800.0f</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  });</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  std::vector<float> outputValues({ 1000.0f, 8000.0f, 27000.0f, 64000.0f, 125000.0f, 216000.0f, 343000.0f, 512000.0f</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  });</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>  <span class="keywordflow">return</span> ReduceTestCommon<ArmnnType>(workloadFactory,</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  memoryManager,</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  tensorHandleFactory,</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  inputTensorInfo,</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  outputTensorInfo,</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  inputValues,</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  outputValues,</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  { 1 },</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <a class="code" href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0a362a33c23b08e4a32a4ec53fbb82cccd">armnn::ReduceOperation::Prod</a>);</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_abc05539fc6e7907f32ef0fb242e3b3b0a362a33c23b08e4a32a4ec53fbb82cccd"><div class="ttname"><a href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0a362a33c23b08e4a32a4ec53fbb82cccd">armnn::ReduceOperation::Prod</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a87167c4e094cc5278eba5b6a8e00355e"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a87167c4e094cc5278eba5b6a8e00355e">◆ </a></span>ReduceProdSingleAxisTest1< armnn::DataType::Float32 >()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><float, 4> <a class="el" href="_reduce_prod_test_impl_8hpp.xhtml#a13e788502df43372008ce2d69806cc23">ReduceProdSingleAxisTest1</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a> > </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">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.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +</div> +</div> +<a id="ae192445a97cbf65f82ce414eb18ebd8b"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ae192445a97cbf65f82ce414eb18ebd8b">◆ </a></span>ReduceProdSingleAxisTest2()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><float, 4> ReduceProdSingleAxisTest2 </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">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.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</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="_reduce_prod_test_impl_8cpp_source.xhtml#l00154">154</a> of file <a class="el" href="_reduce_prod_test_impl_8cpp_source.xhtml">ReduceProdTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0a362a33c23b08e4a32a4ec53fbb82cccd">armnn::Prod</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00489">TensorInfo::SetQuantizationOffset()</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00473">TensorInfo::SetQuantizationScale()</a>.</p> +<div class="fragment"><div class="line"><a name="l00158"></a><span class="lineno"> 158</span> {</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputShape{ 1, 6, 3, 4 };</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> outputShape{ 1, 1, 3, 4};</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span> </div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo(inputShape, ArmnnType);</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span> </div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="keywordflow">if</span> (armnn::IsQuantizedType<T>())</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>  inputTensorInfo.SetQuantizationScale(1.0f);</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  inputTensorInfo.SetQuantizationOffset(0);</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  }</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> </div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo(outputShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span> </div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  std::vector<float> inputValues( {7, 8, 6, 1,</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  1, 1, 8, 7,</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  3, 7, 7, 7,</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span> </div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  6, 8, 4, 7,</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  3, 8, 7, 3,</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  5, 8, 8, 8,</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span> </div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span> </div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  7, 8, 2, 7,</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  3, 8, 5, 6,</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  8, 4, 2, 7,</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span> </div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  1, 6, 7, 2,</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  8, 3, 3, 1,</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  7, 6, 2, 6,</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span> </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>  5, 3, 4, 8,</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  7, 8, 2, 4,</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  6, 6, 2, 8,</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span> </div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  2, 2, 7, 2,</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  5, 3, 6, 3,</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  6, 1, 8, 8});</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  std::vector<float> outputValues({ 2940.f, 18432.f, 9408.f, 1568.f,</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  2520.f, 4608.f, 10080.f, 1512.f,</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  30240.f, 8064.f, 3584.f, 150528.f });</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span> </div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="keywordflow">return</span> ReduceTestCommon<ArmnnType>(workloadFactory,</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  memoryManager,</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  tensorHandleFactory,</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  inputTensorInfo,</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  outputTensorInfo,</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  inputValues,</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  outputValues,</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  { 1 },</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <a class="code" href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0a362a33c23b08e4a32a4ec53fbb82cccd">armnn::ReduceOperation::Prod</a>);</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_abc05539fc6e7907f32ef0fb242e3b3b0a362a33c23b08e4a32a4ec53fbb82cccd"><div class="ttname"><a href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0a362a33c23b08e4a32a4ec53fbb82cccd">armnn::ReduceOperation::Prod</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="ad4b503cc4a48beafa7dc0860d6ec8a5f"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ad4b503cc4a48beafa7dc0860d6ec8a5f">◆ </a></span>ReduceProdSingleAxisTest2< armnn::DataType::Float32 >()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><float, 4> <a class="el" href="_reduce_prod_test_impl_8hpp.xhtml#ae192445a97cbf65f82ce414eb18ebd8b">ReduceProdSingleAxisTest2</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a> > </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">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.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +</div> +</div> +<a id="a1072acdb451827da018fd826cc2c93c1"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a1072acdb451827da018fd826cc2c93c1">◆ </a></span>ReduceProdSingleAxisTest3()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><float, 4> ReduceProdSingleAxisTest3 </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">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.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</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="_reduce_prod_test_impl_8cpp_source.xhtml#l00213">213</a> of file <a class="el" href="_reduce_prod_test_impl_8cpp_source.xhtml">ReduceProdTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0a362a33c23b08e4a32a4ec53fbb82cccd">armnn::Prod</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00489">TensorInfo::SetQuantizationOffset()</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00473">TensorInfo::SetQuantizationScale()</a>.</p> +<div class="fragment"><div class="line"><a name="l00217"></a><span class="lineno"> 217</span> {</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputShape{ 1, 6, 3, 4 };</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> outputShape{ 1, 6, 3, 1 };</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span> </div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo(inputShape, ArmnnType);</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span> </div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <span class="keywordflow">if</span> (armnn::IsQuantizedType<T>())</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  {</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  inputTensorInfo.SetQuantizationScale(1.0f);</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  inputTensorInfo.SetQuantizationOffset(0);</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  }</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span> </div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo(outputShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span> </div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  std::vector<float> inputValues({ 7, 8, 6, 1,</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  1, 1, 8, 7,</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  3, 7, 7, 7,</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span> </div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  6, 8, 4, 7,</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  3, 8, 7, 3,</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  5, 8, 8, 8,</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span> </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>  7, 8, 2, 7,</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  3, 8, 5, 6,</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  8, 4, 2, 7,</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span> </div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  1, 6, 7, 2,</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  8, 3, 3, 1,</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  7, 6, 2, 6,</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> </div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  5, 3, 4, 8,</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  7, 8, 2, 4,</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  6, 6, 2, 8,</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span> </div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  2, 2, 7, 2,</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  5, 3, 6, 3,</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  6, 1, 8, 8 });</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  std::vector<float> outputValues({ 336.f, 56.f, 1029.f,</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  1344.f, 504.f, 2560.f,</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span> </div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  784.f, 720.f, 448.f,</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  84.f, 72.f, 504.f,</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span> </div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  480.f, 448.f, 576.f,</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  56.f, 270.f, 384.f });</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span> </div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <span class="keywordflow">return</span> ReduceTestCommon<ArmnnType>(workloadFactory,</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  memoryManager,</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  tensorHandleFactory,</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  inputTensorInfo,</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  outputTensorInfo,</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  inputValues,</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  outputValues,</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  { 3 },</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <a class="code" href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0a362a33c23b08e4a32a4ec53fbb82cccd">armnn::ReduceOperation::Prod</a>,</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <span class="keyword">true</span>);</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_abc05539fc6e7907f32ef0fb242e3b3b0a362a33c23b08e4a32a4ec53fbb82cccd"><div class="ttname"><a href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0a362a33c23b08e4a32a4ec53fbb82cccd">armnn::ReduceOperation::Prod</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="aaf2c9eed4e47a04966308b8a18b10205"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aaf2c9eed4e47a04966308b8a18b10205">◆ </a></span>ReduceProdSingleAxisTest3< armnn::DataType::Float32 >()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><float, 4> <a class="el" href="_reduce_prod_test_impl_8hpp.xhtml#a1072acdb451827da018fd826cc2c93c1">ReduceProdSingleAxisTest3</a>< <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a> > </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">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.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +</div> +</div> +</div><!-- contents --> +</div><!-- doc-content --> +<!-- start footer part --> +<div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> + <ul> + <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_0f3cdec46afbc61a1ded8e1687c9c9a0.xhtml">backends</a></li><li class="navelem"><a class="el" href="dir_797a213d7d01b98ef12d53b0820ea64e.xhtml">backendsCommon</a></li><li class="navelem"><a class="el" href="dir_28bfe507f7e135bdae07c2a6b7f66696.xhtml">test</a></li><li class="navelem"><a class="el" href="dir_99a30439342d160875b21dac3498ad7f.xhtml">layerTests</a></li><li class="navelem"><a class="el" href="_reduce_prod_test_impl_8cpp.xhtml">ReduceProdTestImpl.cpp</a></li> + <li class="footer">Generated on Fri Aug 19 2022 14:38:33 for ArmNN by + <a href="http://www.doxygen.org/index.html"> + <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li> + </ul> +</div> +</body> +</html> |