diff options
author | Cathal Corbett <cathal.corbett@arm.com> | 2022-12-09 12:17:27 +0000 |
---|---|---|
committer | TeresaARM <teresa.charlinreyes@arm.com> | 2022-12-13 12:13:20 +0000 |
commit | 3b9acd515918ac1af5498b3e7501c0b16a88a8e0 (patch) | |
tree | a537cbdd7c45fea1772cbb34f8a23ecc7dbd6e1a /src/backends/backendsCommon/test/SliceEndToEndTestImpl.hpp | |
parent | 8107ccce5167f160b9c98a6042878dd0408220b5 (diff) | |
download | armnn-3b9acd515918ac1af5498b3e7501c0b16a88a8e0.tar.gz |
IVGCVSW-7342 Add Slice support to TOSA Reference Backend
Signed-off-by: Cathal Corbett <cathal.corbett@arm.com>
Change-Id: I8be286b69bebd4cd36033e3145632bb043938d16
Diffstat (limited to 'src/backends/backendsCommon/test/SliceEndToEndTestImpl.hpp')
-rw-r--r-- | src/backends/backendsCommon/test/SliceEndToEndTestImpl.hpp | 99 |
1 files changed, 99 insertions, 0 deletions
diff --git a/src/backends/backendsCommon/test/SliceEndToEndTestImpl.hpp b/src/backends/backendsCommon/test/SliceEndToEndTestImpl.hpp new file mode 100644 index 0000000000..811ce27b79 --- /dev/null +++ b/src/backends/backendsCommon/test/SliceEndToEndTestImpl.hpp @@ -0,0 +1,99 @@ +// +// Copyright © 2022 Arm Ltd and Contributors. All rights reserved. +// SPDX-License-Identifier: MIT +// +#pragma once + +#include <armnn/INetwork.hpp> + +#include <CommonTestUtils.hpp> +#include <ResolveType.hpp> + +#include <doctest/doctest.h> + +namespace +{ + +template<typename armnn::DataType DataType> +armnn::INetworkPtr CreateSliceNetwork(const armnn::TensorShape& inputShape, + const armnn::TensorShape& outputShape, + const armnn::SliceDescriptor& descriptor, + const float qScale = 1.0f, + const int32_t qOffset = 0) +{ + using namespace armnn; + + INetworkPtr network(INetwork::Create()); + + TensorInfo inputTensorInfo(inputShape, DataType, qScale, qOffset, true); + TensorInfo outputTensorInfo(outputShape, DataType, qScale, qOffset); + + + IConnectableLayer* slice = network->AddSliceLayer(descriptor, "slice"); + IConnectableLayer* input = network->AddInputLayer(0, "input"); + IConnectableLayer* output = network->AddOutputLayer(0, "output"); + + Connect(input, slice, inputTensorInfo, 0, 0); + Connect(slice, output, outputTensorInfo, 0, 0); + + return network; +} + +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +void SliceEndToEnd(const std::vector<armnn::BackendId>& backends) +{ + using namespace armnn; + + const TensorShape& inputShape = { 3, 2, 3 }; + const TensorShape& outputShape = { 2, 1, 3 }; + + SliceDescriptor descriptor; + descriptor.m_Begin = { 1, 0, 0 }; + descriptor.m_Size = { 2, 1, 3 }; + + INetworkPtr network = CreateSliceNetwork<ArmnnType>(inputShape, outputShape, descriptor); + + CHECK(network); + + std::vector<T> inputData{ 1, 1, 1, 2, 2, 2, + 3, 3, 3, 4, 4, 4, + 5, 5, 5, 6, 6, 6 }; + std::vector<T> expectedOutput{ 3, 3, 3, + 5, 5, 5 }; + + std::map<int, std::vector<T>> inputTensorData = { { 0, inputData } }; + std::map<int, std::vector<T>> expectedOutputData = { { 0, expectedOutput } }; + + EndToEndLayerTestImpl<ArmnnType, ArmnnType>(std::move(network), inputTensorData, expectedOutputData, backends); +} + +template<armnn::DataType ArmnnType> +void SliceEndToEndFloat16(const std::vector<armnn::BackendId>& backends) +{ + using namespace armnn; + using namespace half_float::literal; + using Half = half_float::half; + + const TensorShape& inputShape = { 3, 2, 3 }; + const TensorShape& outputShape = { 2, 1, 3 }; + + SliceDescriptor descriptor; + descriptor.m_Begin = { 1, 0, 0 }; + descriptor.m_Size = { 2, 1, 3 }; + + INetworkPtr network = CreateSliceNetwork<ArmnnType>(inputShape, outputShape, descriptor); + CHECK(network); + + std::vector<Half> inputData{ 1._h, 1._h, 1._h, 2._h, 2._h, 2._h, + 3._h, 3._h, 3._h, 4._h, 4._h, 4._h, + 5._h, 5._h, 5._h, 6._h, 6._h, 6._h }; + std::vector<Half> expectedOutput{ 3._h, 3._h, 3._h, + 5._h, 5._h, 5._h }; + + std::map<int, std::vector<Half>> inputTensorData = { { 0, inputData } }; + std::map<int, std::vector<Half>> expectedOutputData = { { 0, expectedOutput } }; + + EndToEndLayerTestImpl<ArmnnType, ArmnnType>(std::move(network), inputTensorData, expectedOutputData, backends); +} + +} // anonymous namespace
\ No newline at end of file |