aboutsummaryrefslogtreecommitdiff
path: root/src/backends/backendsCommon/test/SpaceToDepthEndToEndTestImpl.hpp
diff options
context:
space:
mode:
Diffstat (limited to 'src/backends/backendsCommon/test/SpaceToDepthEndToEndTestImpl.hpp')
-rw-r--r--src/backends/backendsCommon/test/SpaceToDepthEndToEndTestImpl.hpp220
1 files changed, 6 insertions, 214 deletions
diff --git a/src/backends/backendsCommon/test/SpaceToDepthEndToEndTestImpl.hpp b/src/backends/backendsCommon/test/SpaceToDepthEndToEndTestImpl.hpp
index fd442a88e8..e765c4126d 100644
--- a/src/backends/backendsCommon/test/SpaceToDepthEndToEndTestImpl.hpp
+++ b/src/backends/backendsCommon/test/SpaceToDepthEndToEndTestImpl.hpp
@@ -2,225 +2,17 @@
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
-#pragma once
-
-#include "ResolveType.hpp"
-#include "DataLayoutIndexed.hpp"
-#include "EndToEndTestImpl.hpp"
-
-#include "armnn/INetwork.hpp"
-#include "backendsCommon/test/CommonTestUtils.hpp"
+#pragma once
-#include <Permute.hpp>
-#include <boost/test/unit_test.hpp>
+#include <armnn/BackendId.hpp>
#include <vector>
-namespace
-{
-template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
-void PermuteDataToNCHW(const std::vector<armnn::BackendId>& backends,
- const armnn::DataLayout& dataLayout,
- TensorInfo& tensorInfo,
- std::vector<T>& data)
-{
- const armnn::PermutationVector NHWCToNCHW = {0, 2, 3, 1};
-
- tensorInfo = armnnUtils::Permuted(tensorInfo, NHWCToNCHW);
-
- std::vector<T> tmp(data.size());
- armnnUtils::Permute(tensorInfo.GetShape(), NHWCToNCHW, data.data(), tmp.data(), sizeof(T));
-
- data = tmp;
-}
-
-template<typename armnn::DataType DataType>
-armnn::INetworkPtr CreateSpaceToDepthNetwork(const armnn::TensorShape& inputShape,
- const armnn::TensorShape& outputShape,
- const armnn::DataLayout dataLayout,
- unsigned int blockSize,
- const float qScale = 1.0f,
- const int32_t qOffset = 0)
-{
- using namespace armnn;
- // Builds up the structure of the network.
- INetworkPtr net(INetwork::Create());
-
- TensorInfo inputTensorInfo(inputShape, DataType, qScale, qOffset);
-
- armnnUtils::DataLayoutIndexed dimensionIndices(dataLayout);
- if (inputShape[dimensionIndices.GetHeightIndex()] % blockSize!=0
- || inputShape[dimensionIndices.GetWidthIndex()] % blockSize!=0)
- {
- throw InvalidArgumentException("Input shape must be divisible by block size in all spatial dimensions");
- }
-
- SpaceToDepthDescriptor spaceToDepthDesc;
- spaceToDepthDesc.m_BlockSize = blockSize;
- spaceToDepthDesc.m_DataLayout = dataLayout;
-
- IConnectableLayer* SpaceToDepth = net->AddSpaceToDepthLayer(spaceToDepthDesc, "SpaceToDepth");
- IConnectableLayer* input = net->AddInputLayer(0, "input");
- Connect(input, SpaceToDepth, inputTensorInfo, 0, 0);
-
- TensorInfo outputTensorInfo(outputShape, DataType, qScale, qOffset);
- IConnectableLayer* output = net->AddOutputLayer(0, "output");
- Connect(SpaceToDepth, output, outputTensorInfo, 0, 0);
-
- return net;
-}
-
-void SpaceToDepthEndToEnd(const std::vector<armnn::BackendId>& backends,
- const armnn::DataLayout& dataLayout,
- TensorInfo& inputTensorInfo,
- TensorInfo& outputTensorInfo,
- std::vector<float>& inputData,
- std::vector<float>& expectedOutputData,
- const unsigned int blockSize)
-{
- using namespace armnn;
-
- if (dataLayout == armnn::DataLayout::NCHW)
- {
- PermuteDataToNCHW<armnn::DataType::Float32>(backends, dataLayout, inputTensorInfo, inputData);
- PermuteDataToNCHW<armnn::DataType::Float32>(backends, dataLayout, outputTensorInfo, expectedOutputData);
- }
-
- // Builds up the structure of the network
- INetworkPtr net = CreateSpaceToDepthNetwork<armnn::DataType::Float32>(
- inputTensorInfo.GetShape(),
- outputTensorInfo.GetShape(),
- dataLayout,
- blockSize);
-
- BOOST_TEST_CHECKPOINT("Create a network");
-
- std::map<int, std::vector<float>> inputTensorData = { { 0, inputData } };
- std::map<int, std::vector<float>> expectedOutputTensorData = { { 0, expectedOutputData } };
-
- EndToEndLayerTestImpl<armnn::DataType::Float32, armnn::DataType::Float32>(
- move(net),
- inputTensorData,
- expectedOutputTensorData,
- backends);
-}
-
-void SpaceToDepthNHWCEndToEndTest1(const std::vector<armnn::BackendId>& defaultBackends)
-{
- const unsigned int blockSize = 2;
-
- armnn::TensorShape inputShape{1, 2, 2, 1};
- armnn::TensorInfo inputTensorInfo(inputShape, armnn::DataType::Float32);
-
- armnn::TensorShape outputShape{1, 1, 1, 4};
- armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Float32);
-
- std::vector<float> inputData = std::vector<float>(
- {
- 1.0f, 2.0f, 3.0f, 4.0f
- });
-
- std::vector<float> expectedOutputData = std::vector<float>(
- {
- 1.0f, 2.0f, 3.0f, 4.0f
- });
-
- SpaceToDepthEndToEnd(defaultBackends,
- armnn::DataLayout::NHWC,
- inputTensorInfo,
- outputTensorInfo,
- inputData,
- expectedOutputData,
- blockSize);
-}
-
-void SpaceToDepthNCHWEndToEndTest1(const std::vector<armnn::BackendId>& defaultBackends)
-{
- const unsigned int blockSize = 2;
-
- armnn::TensorShape inputShape{1, 2, 2, 1};
- armnn::TensorInfo inputTensorInfo(inputShape, armnn::DataType::Float32);
-
- armnn::TensorShape outputShape{1, 1, 1, 4};
- armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Float32);
-
- std::vector<float> inputData = std::vector<float>(
- {
- 1.0f, 2.0f, 3.0f, 4.0f
- });
-
- std::vector<float> expectedOutputData = std::vector<float>(
- {
- 1.0f, 2.0f, 3.0f, 4.0f
- });
-
- SpaceToDepthEndToEnd(defaultBackends,
- armnn::DataLayout::NCHW,
- inputTensorInfo,
- outputTensorInfo,
- inputData,
- expectedOutputData,
- blockSize);
-}
-
-void SpaceToDepthNHWCEndToEndTest2(const std::vector<armnn::BackendId>& defaultBackends)
-{
- const unsigned int blockSize = 2;
-
- armnn::TensorShape inputShape{1, 2, 2, 2};
- armnn::TensorShape outputShape{1, 1, 1, 8};
-
- armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Float32);
- armnn::TensorInfo inputTensorInfo(inputShape, armnn::DataType::Float32);
-
- std::vector<float> inputData = std::vector<float>(
- {
- 1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f
- });
-
- std::vector<float> expectedOutputData = std::vector<float>(
- {
- 1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f
- });
-
- SpaceToDepthEndToEnd(defaultBackends,
- armnn::DataLayout::NHWC,
- inputTensorInfo,
- outputTensorInfo,
- inputData,
- expectedOutputData,
- blockSize);
-}
-
-void SpaceToDepthNCHWEndToEndTest2(const std::vector<armnn::BackendId>& defaultBackends)
-{
- const unsigned int blockSize = 2;
-
- armnn::TensorShape inputShape{1, 2, 2, 2};
- armnn::TensorShape outputShape{1, 1, 1, 8};
-
- armnn::TensorInfo inputTensorInfo(inputShape, armnn::DataType::Float32);
- armnn::TensorInfo outputTensorInfo(outputShape, armnn::DataType::Float32);
-
-
- std::vector<float> inputData = std::vector<float>(
- {
- 1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f
- });
+void SpaceToDepthNhwcEndToEndTest1(const std::vector<armnn::BackendId>& defaultBackends);
- std::vector<float> expectedOutputData = std::vector<float>(
- {
- 1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f
- });
+void SpaceToDepthNchwEndToEndTest1(const std::vector<armnn::BackendId>& defaultBackends);
- SpaceToDepthEndToEnd(defaultBackends,
- armnn::DataLayout::NCHW,
- inputTensorInfo,
- outputTensorInfo,
- inputData,
- expectedOutputData,
- blockSize);
-}
+void SpaceToDepthNhwcEndToEndTest2(const std::vector<armnn::BackendId>& defaultBackends);
-} // anonymous namespace
+void SpaceToDepthNchwEndToEndTest2(const std::vector<armnn::BackendId>& defaultBackends);
generated by cgit v1.2.1 (git 2.23.0) at 2024-07-01 04:17:38 +0000