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Diffstat (limited to 'src/backends/tosaCommon/test/OneToManyMappingTests.cpp')
| -rw-r--r-- | src/backends/tosaCommon/test/OneToManyMappingTests.cpp | 84 |
1 files changed, 84 insertions, 0 deletions
diff --git a/src/backends/tosaCommon/test/OneToManyMappingTests.cpp b/src/backends/tosaCommon/test/OneToManyMappingTests.cpp new file mode 100644 index 0000000000..98fd563da1 --- /dev/null +++ b/src/backends/tosaCommon/test/OneToManyMappingTests.cpp @@ -0,0 +1,84 @@ +// +// Copyright © 2022 Arm Ltd and Contributors. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "AvgPool2DIgnoreValueChecker.hpp" + +using namespace armnn; +using namespace tosa; + +TEST_SUITE("TosaOperatorMappingOneToManyTests") +{ +TEST_CASE("GetTosaMapping_AvgPool2DIgnoreValueLayer") +{ + armnn::Pooling2dDescriptor descriptor; + descriptor.m_PoolType = armnn::PoolingAlgorithm::Average; + descriptor.m_PoolWidth = descriptor.m_PoolHeight = 2; + descriptor.m_StrideX = descriptor.m_StrideY = 2; + descriptor.m_PadLeft = 1; + descriptor.m_PadRight = 1; + descriptor.m_PadTop = 1; + descriptor.m_PadBottom = 1; + descriptor.m_PaddingMethod = armnn::PaddingMethod::IgnoreValue; + + armnn::TensorInfo inputTensorInfo({ 1, 1, 4, 4 }, DataType::Float32); + armnn::TensorInfo outputTensorInfo({ 1, 1, 3, 3 }, DataType::Float32); + + std::vector<std::vector<int32_t>> inputShape = {{ 1, 1, 4, 4 }}; + std::vector<std::vector<int32_t>> intermediateShape = {{ 1, 1, 6, 6 }}; + std::vector<std::vector<int32_t>> outputShape = {{ 1, 1, 3, 3 }}; + + TosaSerializationBasicBlock* basicBlock = + GetTosaMapping(LayerType::Pooling2d, {&inputTensorInfo}, {&outputTensorInfo}, descriptor, false); + VerifyAvgPool2DIgnoreValue(basicBlock, + inputShape, + outputShape, + intermediateShape, + descriptor); +} + +TEST_CASE("GetTosaMappingFromLayer_AvgPool2DIgnoreValueLayer") +{ + IRuntime::CreationOptions options; + IRuntimePtr runtime(IRuntime::Create(options)); + + // Builds up the structure of the network. + INetworkPtr net(INetwork::Create()); + + armnn::Pooling2dDescriptor descriptor; + descriptor.m_PoolType = armnn::PoolingAlgorithm::Average; + descriptor.m_PoolWidth = descriptor.m_PoolHeight = 2; + descriptor.m_StrideX = descriptor.m_StrideY = 2; + descriptor.m_PadLeft = 1; + descriptor.m_PadRight = 1; + descriptor.m_PadTop = 1; + descriptor.m_PadBottom = 1; + descriptor.m_PaddingMethod = armnn::PaddingMethod::IgnoreValue; + + IConnectableLayer* input0 = net->AddInputLayer(0, "input0"); + IConnectableLayer* pool = net->AddPooling2dLayer(descriptor, "pool"); + IConnectableLayer* output = net->AddOutputLayer(0, "output"); + + input0->GetOutputSlot(0).Connect(pool->GetInputSlot(0)); + pool->GetOutputSlot(0).Connect(output->GetInputSlot(0)); + + armnn::TensorInfo inputTensorInfo({ 1, 1, 4, 4 }, DataType::Float32); + armnn::TensorInfo outputTensorInfo({ 1, 1, 3, 3 }, DataType::Float32); + + std::vector<std::vector<int32_t>> inputShape = {{ 1, 1, 4, 4 }}; + std::vector<std::vector<int32_t>> intermediateShape = {{ 1, 1, 6, 6 }}; + std::vector<std::vector<int32_t>> outputShape = {{ 1, 1, 3, 3 }}; + + input0->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); + pool->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); + + TosaSerializationBasicBlock* basicBlock = + GetTosaMappingFromLayer(PolymorphicDowncast<Layer*>(pool), false); + VerifyAvgPool2DIgnoreValue(basicBlock, + inputShape, + outputShape, + intermediateShape, + descriptor); +} +}
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