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//
// Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "AvgPool2DIgnoreValueChecker.hpp"
#include <armnn/IRuntime.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(nullptr, LayerType::Pooling2d, {&inputTensorInfo}, {&outputTensorInfo}, descriptor);
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));
VerifyAvgPool2DIgnoreValue(basicBlock,
inputShape,
outputShape,
intermediateShape,
descriptor);
}
}
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