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author | Nikhil Raj <nikhil.raj@arm.com> | 2018-10-18 14:27:50 +0100 |
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committer | Matthew Bentham <matthew.bentham@arm.com> | 2018-10-22 16:57:54 +0100 |
commit | d134093a271b60e248942af9757e8236e8f41ac1 (patch) | |
tree | 7b15baae3cd028dc4cb0f0bb5302ecfbc9db8225 /src/backends/neon/test/NeonCreateWorkloadTests.cpp | |
parent | 33f0ae0d293f5048089f2a04985a8a8bfa1d75a6 (diff) | |
download | armnn-d134093a271b60e248942af9757e8236e8f41ac1.tar.gz |
IVGCVSW-2023 CL and Neon implementation of BatchNorm with NHWC
Change-Id: I962e986607e5d045cd97b9eaeaea2f5ae624db35
Diffstat (limited to 'src/backends/neon/test/NeonCreateWorkloadTests.cpp')
-rw-r--r-- | src/backends/neon/test/NeonCreateWorkloadTests.cpp | 31 |
1 files changed, 23 insertions, 8 deletions
diff --git a/src/backends/neon/test/NeonCreateWorkloadTests.cpp b/src/backends/neon/test/NeonCreateWorkloadTests.cpp index a588a3ecc8..8d5574c6a7 100644 --- a/src/backends/neon/test/NeonCreateWorkloadTests.cpp +++ b/src/backends/neon/test/NeonCreateWorkloadTests.cpp @@ -153,30 +153,45 @@ BOOST_AUTO_TEST_CASE(CreateMultiplicationFloatWorkload) } template <typename BatchNormalizationWorkloadType, typename armnn::DataType DataType> -static void NeonCreateBatchNormalizationWorkloadTest() +static void NeonCreateBatchNormalizationWorkloadTest(DataLayout dataLayout) { Graph graph; NeonWorkloadFactory factory; - auto workload = CreateBatchNormalizationWorkloadTest<BatchNormalizationWorkloadType, DataType>(factory, graph); + auto workload = CreateBatchNormalizationWorkloadTest<BatchNormalizationWorkloadType, DataType> + (factory, graph, dataLayout); // Checks that outputs and inputs are as we expect them (see definition of CreateBatchNormalizationWorkloadTest). BatchNormalizationQueueDescriptor 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({2, 3, 1, 1}, DataType))); - BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo({2, 3, 1, 1}, DataType))); + + TensorShape inputShape = (dataLayout == DataLayout::NCHW) ? TensorShape{2, 3, 4, 4} : TensorShape{2, 4, 4, 3}; + TensorShape outputShape = (dataLayout == DataLayout::NCHW) ? TensorShape{2, 3, 4, 4} : TensorShape{2, 4, 4, 3}; + + BOOST_TEST(TestNeonTensorHandleInfo(inputHandle, TensorInfo(inputShape, DataType))); + BOOST_TEST(TestNeonTensorHandleInfo(outputHandle, TensorInfo(outputShape, DataType))); } #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC -BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloat16Workload) +BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloat16NchwWorkload) +{ + NeonCreateBatchNormalizationWorkloadTest<NeonBatchNormalizationFloatWorkload, DataType::Float16>(DataLayout::NCHW); +} + +BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloat16NhwcWorkload) { - NeonCreateBatchNormalizationWorkloadTest<NeonBatchNormalizationFloatWorkload, DataType::Float16>(); + NeonCreateBatchNormalizationWorkloadTest<NeonBatchNormalizationFloatWorkload, DataType::Float16>(DataLayout::NHWC); } #endif -BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloatWorkload) +BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloatNchwWorkload) +{ + NeonCreateBatchNormalizationWorkloadTest<NeonBatchNormalizationFloatWorkload, DataType::Float32>(DataLayout::NCHW); +} + +BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloatNhwcWorkload) { - NeonCreateBatchNormalizationWorkloadTest<NeonBatchNormalizationFloatWorkload, DataType::Float32>(); + NeonCreateBatchNormalizationWorkloadTest<NeonBatchNormalizationFloatWorkload, DataType::Float32>(DataLayout::NHWC); } template <typename armnn::DataType DataType> |