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authorNina Drozd <nina.drozd@arm.com>2018-10-09 12:09:56 +0100
committerMatthew Bentham <matthew.bentham@arm.com>2018-10-10 16:16:58 +0100
commitb48e68674e600d68ca7059736d930ada6a3b4969 (patch)
tree9342e067a295bfc10acc7051d1fd34dc6beb102c /src/backends/test
parent043d0d0e07e0a29648894cb9ba68993e540bb94d (diff)
downloadarmnn-b48e68674e600d68ca7059736d930ada6a3b4969.tar.gz
IVGCVSW-1982 - add create workload test for 2D Pooling (NHWC data layout)
Change-Id: Ief0c91ba9abc2578944860ddbd3c19e2bad465bd
Diffstat (limited to 'src/backends/test')
-rw-r--r--src/backends/test/CreateWorkloadCl.cpp31
-rw-r--r--src/backends/test/CreateWorkloadNeon.cpp29
2 files changed, 44 insertions, 16 deletions
diff --git a/src/backends/test/CreateWorkloadCl.cpp b/src/backends/test/CreateWorkloadCl.cpp
index e7e39b0f70..0314f6d92a 100644
--- a/src/backends/test/CreateWorkloadCl.cpp
+++ b/src/backends/test/CreateWorkloadCl.cpp
@@ -320,30 +320,45 @@ BOOST_AUTO_TEST_CASE(CreateNormalizationFloat16NhwcWorkload)
}
template <typename Pooling2dWorkloadType, typename armnn::DataType DataType>
-static void ClPooling2dWorkloadTest()
+static void ClPooling2dWorkloadTest(DataLayout dataLayout)
{
Graph graph;
ClWorkloadFactory factory;
- auto workload = CreatePooling2dWorkloadTest<Pooling2dWorkloadType, DataType>(factory, graph);
+ auto workload = CreatePooling2dWorkloadTest<Pooling2dWorkloadType, DataType>(factory, graph, dataLayout);
+
+ std::initializer_list<unsigned int> inputShape = (dataLayout == DataLayout::NCHW) ?
+ std::initializer_list<unsigned int>({3, 2, 5, 5}) : std::initializer_list<unsigned int>({3, 5, 5, 2});
+ std::initializer_list<unsigned int> outputShape = (dataLayout == DataLayout::NCHW) ?
+ std::initializer_list<unsigned int>({3, 2, 2, 4}) : std::initializer_list<unsigned int>({3, 2, 4, 2});
// Check that inputs/outputs are as we expect them (see definition of CreatePooling2dWorkloadTest).
Pooling2dQueueDescriptor queueDescriptor = workload->GetData();
auto inputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Inputs[0]);
auto outputHandle = boost::polymorphic_downcast<IClTensorHandle*>(queueDescriptor.m_Outputs[0]);
- BOOST_TEST(CompareIClTensorHandleShape(inputHandle, {3, 2, 5, 5}));
- BOOST_TEST(CompareIClTensorHandleShape(outputHandle, {3, 2, 2, 4}));
+ BOOST_TEST(CompareIClTensorHandleShape(inputHandle, inputShape));
+ BOOST_TEST(CompareIClTensorHandleShape(outputHandle, outputShape));
+}
+
+BOOST_AUTO_TEST_CASE(CreatePooling2dFloatNchwWorkload)
+{
+ ClPooling2dWorkloadTest<ClPooling2dFloatWorkload, armnn::DataType::Float32>(DataLayout::NCHW);
+}
+
+BOOST_AUTO_TEST_CASE(CreatePooling2dFloatNhwcWorkload)
+{
+ ClPooling2dWorkloadTest<ClPooling2dFloatWorkload, armnn::DataType::Float32>(DataLayout::NHWC);
}
-BOOST_AUTO_TEST_CASE(CreatePooling2dFloatWorkload)
+BOOST_AUTO_TEST_CASE(CreatePooling2dFloat16NchwWorkload)
{
- ClPooling2dWorkloadTest<ClPooling2dFloatWorkload, armnn::DataType::Float32>();
+ ClPooling2dWorkloadTest<ClPooling2dFloatWorkload, armnn::DataType::Float16>(DataLayout::NCHW);
}
-BOOST_AUTO_TEST_CASE(CreatePooling2dFloat16Workload)
+BOOST_AUTO_TEST_CASE(CreatePooling2dFloat16NhwcWorkload)
{
- ClPooling2dWorkloadTest<ClPooling2dFloatWorkload, armnn::DataType::Float16>();
+ ClPooling2dWorkloadTest<ClPooling2dFloatWorkload, armnn::DataType::Float16>(DataLayout::NHWC);
}
template <typename ReshapeWorkloadType, typename armnn::DataType DataType>
diff --git a/src/backends/test/CreateWorkloadNeon.cpp b/src/backends/test/CreateWorkloadNeon.cpp
index a6f3540994..a67e68d8a5 100644
--- a/src/backends/test/CreateWorkloadNeon.cpp
+++ b/src/backends/test/CreateWorkloadNeon.cpp
@@ -273,19 +273,22 @@ BOOST_AUTO_TEST_CASE(CreateNormalizationFloatNhwcWorkload)
template <typename Pooling2dWorkloadType, typename armnn::DataType DataType>
-static void NeonCreatePooling2dWorkloadTest()
+static void NeonCreatePooling2dWorkloadTest(DataLayout dataLayout = DataLayout::NCHW)
{
Graph graph;
NeonWorkloadFactory factory;
auto workload = CreatePooling2dWorkloadTest<Pooling2dWorkloadType, DataType>
- (factory, graph);
+ (factory, graph, dataLayout);
+
+ TensorShape inputShape = (dataLayout == DataLayout::NCHW) ? TensorShape{3, 2, 5, 5} : TensorShape{3, 5, 5, 2};
+ TensorShape outputShape = (dataLayout == DataLayout::NCHW) ? TensorShape{3, 2, 2, 4} : TensorShape{3, 2, 4, 2};
// Checks that outputs and inputs are as we expect them (see definition of CreatePooling2dWorkloadTest).
Pooling2dQueueDescriptor queueDescriptor = workload->GetData();
auto inputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Inputs[0]);
auto outputHandle = boost::polymorphic_downcast<INeonTensorHandle*>(queueDescriptor.m_Outputs[0]);
- BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo({3, 2, 5, 5}, DataType)));
- BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo({3, 2, 2, 4}, DataType)));
+ BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo(inputShape, DataType)));
+ BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo(outputShape, DataType)));
}
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
@@ -295,14 +298,24 @@ BOOST_AUTO_TEST_CASE(CreatePooling2dFloat16Workload)
}
#endif
-BOOST_AUTO_TEST_CASE(CreatePooling2dFloatWorkload)
+BOOST_AUTO_TEST_CASE(CreatePooling2dFloatNchwWorkload)
+{
+ NeonCreatePooling2dWorkloadTest<NeonPooling2dFloatWorkload, DataType::Float32>(DataLayout::NCHW);
+}
+
+BOOST_AUTO_TEST_CASE(CreatePooling2dFloatNhwcWorkload)
+{
+ NeonCreatePooling2dWorkloadTest<NeonPooling2dFloatWorkload, DataType::Float32>(DataLayout::NHWC);
+}
+
+BOOST_AUTO_TEST_CASE(CreatePooling2dUint8NchwWorkload)
{
- NeonCreatePooling2dWorkloadTest<NeonPooling2dFloatWorkload, DataType::Float32>();
+ NeonCreatePooling2dWorkloadTest<NeonPooling2dUint8Workload, DataType::QuantisedAsymm8>(DataLayout::NCHW);
}
-BOOST_AUTO_TEST_CASE(CreatePooling2dUint8Workload)
+BOOST_AUTO_TEST_CASE(CreatePooling2dUint8NhwcWorkload)
{
- NeonCreatePooling2dWorkloadTest<NeonPooling2dUint8Workload, DataType::QuantisedAsymm8>();
+ NeonCreatePooling2dWorkloadTest<NeonPooling2dUint8Workload, DataType::QuantisedAsymm8>(DataLayout::NHWC);
}
template <typename ReshapeWorkloadType, typename armnn::DataType DataType>