IVGCVSW-7345 Add Pooling2d support to TOSA Reference Backend

Signed-off-by: Cathal Corbett <cathal.corbett@arm.com>
Change-Id: I73a47e513fe2d064ef233b121a68ef2edf0396dc

1 files changed, 213 insertions, 0 deletions

diff --git a/src/backends/tosaCommon/test/OneToOneMappingTests.cpp b/src/backends/tosaCommon/test/OneToOneMappingTests.cpp
new file mode 100644
index 0000000000..04d1eb46aa
--- /dev/null
+++ b/src/backends/tosaCommon/test/OneToOneMappingTests.cpp
@@ -0,0 +1,213 @@
+//
+// Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "TosaTestUtils.hpp"
+
+using namespace armnn;
+using namespace tosa;
+
+TEST_SUITE("TosaOperatorMappingOneToOneTests")
+{
+TEST_CASE("GetTosaMapping_AdditionLayer")
+{
+    TensorInfo info = TensorInfo({ 1, 2, 4, 2 }, DataType::Float32, 0.0f, 0, true);
+
+    std::vector<std::vector<int32_t>> inputShape  = {{ 1, 2, 4, 2 }, { 1, 2, 4, 2 }};
+    std::vector<std::vector<int32_t>> outputShape = {{ 1, 2, 4, 2 }};
+
+    TosaSerializationBasicBlock* basicBlock =
+        GetTosaMapping(LayerType::Addition, {&info, &info}, {&info}, BaseDescriptor(), false);
+    AssertTosaOneToOneMappingBasicBlock(
+        basicBlock, inputShape, outputShape, Op_ADD, Attribute_NONE, BaseDescriptor(), LayerType::Addition);
+}
+
+TEST_CASE("GetTosaMappingFromLayer_AdditionLayer")
+{
+    IRuntime::CreationOptions options;
+    IRuntimePtr runtime(IRuntime::Create(options));
+
+    // Builds up the structure of the network.
+    INetworkPtr net(INetwork::Create());
+
+    IConnectableLayer* input0 = net->AddInputLayer(0, "input0");
+    IConnectableLayer* input1 = net->AddInputLayer(1, "input1");
+    IConnectableLayer* add    = net->AddAdditionLayer("add");
+    IConnectableLayer* output = net->AddOutputLayer(0, "output");
+
+    input0->GetOutputSlot(0).Connect(add->GetInputSlot(0));
+    input1->GetOutputSlot(0).Connect(add->GetInputSlot(1));
+    add->GetOutputSlot(0).Connect(output->GetInputSlot(0));
+
+    TensorInfo info = TensorInfo({ 1, 2, 4, 2 }, DataType::Float32, 0.0f, 0, true);
+
+    input0->GetOutputSlot(0).SetTensorInfo(info);
+    input1->GetOutputSlot(0).SetTensorInfo(info);
+    add->GetOutputSlot(0).SetTensorInfo(info);
+
+    std::vector<std::vector<int32_t>> inputShape  = {{ 1, 2, 4, 2 }, { 1, 2, 4, 2 }};
+    std::vector<std::vector<int32_t>> outputShape = {{ 1, 2, 4, 2 }};
+
+    TosaSerializationBasicBlock* basicBlock =
+        GetTosaMappingFromLayer(PolymorphicDowncast<Layer*>(add), false);
+    AssertTosaOneToOneMappingBasicBlock(
+        basicBlock, inputShape, outputShape, Op_ADD, Attribute_NONE, BaseDescriptor(), LayerType::Addition);
+}
+
+TEST_CASE("GetTosaMapping_MaxPool2DLayer")
+{
+    armnn::Pooling2dDescriptor descriptor;
+    descriptor.m_PoolType = armnn::PoolingAlgorithm::Max;
+    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::Exclude;
+
+    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>> outputShape = {{ 1, 1, 3, 3 }};
+
+    TosaSerializationBasicBlock* basicBlock =
+        GetTosaMapping(LayerType::Pooling2d, {&inputTensorInfo}, {&outputTensorInfo}, descriptor, false);
+    AssertTosaOneToOneMappingBasicBlock(
+        basicBlock, inputShape, outputShape, Op_MAX_POOL2D, Attribute_PoolAttribute, descriptor, LayerType::Pooling2d);
+}
+
+TEST_CASE("GetTosaMappingFromLayer_MaxPool2DLayer")
+{
+    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::Max;
+    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::Exclude;
+
+    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>> outputShape = {{ 1, 1, 3, 3 }};
+
+    input0->GetOutputSlot(0).SetTensorInfo(inputTensorInfo);
+    pool->GetOutputSlot(0).SetTensorInfo(outputTensorInfo);
+
+    TosaSerializationBasicBlock* basicBlock =
+        GetTosaMappingFromLayer(PolymorphicDowncast<Layer*>(pool), false);
+    AssertTosaOneToOneMappingBasicBlock(
+        basicBlock, inputShape, outputShape, Op_MAX_POOL2D, Attribute_PoolAttribute, descriptor, LayerType::Pooling2d);
+}
+
+TEST_CASE("GetTosaMapping_AvgPool2DLayer")
+{
+    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::Exclude;
+
+    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>> outputShape = {{ 1, 1, 3, 3 }};
+
+    TosaSerializationBasicBlock* basicBlock =
+        GetTosaMapping(LayerType::Pooling2d, {&inputTensorInfo}, {&outputTensorInfo}, descriptor, false);
+    AssertTosaOneToOneMappingBasicBlock(basicBlock,
+                                        inputShape,
+                                        outputShape,
+                                        Op_AVG_POOL2D,
+                                        Attribute_PoolAttribute,
+                                        descriptor,
+                                        LayerType::Pooling2d);
+}
+
+TEST_CASE("GetTosaMappingFromLayer_AvgPool2DLayer")
+{
+    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::Exclude;
+
+    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>> outputShape = {{ 1, 1, 3, 3 }};
+
+    input0->GetOutputSlot(0).SetTensorInfo(inputTensorInfo);
+    pool->GetOutputSlot(0).SetTensorInfo(outputTensorInfo);
+
+    TosaSerializationBasicBlock* basicBlock =
+        GetTosaMappingFromLayer(PolymorphicDowncast<Layer*>(pool), false);
+    AssertTosaOneToOneMappingBasicBlock(basicBlock,
+                                        inputShape,
+                                        outputShape,
+                                        Op_AVG_POOL2D,
+                                        Attribute_PoolAttribute,
+                                        descriptor,
+                                        LayerType::Pooling2d);
+}
+
+TEST_CASE("GetTosaMapping_Unimplemented")
+{
+    TosaSerializationBasicBlock* basicBlock =
+        GetTosaMapping(LayerType::UnidirectionalSequenceLstm, {}, {}, BaseDescriptor(), false);
+
+    CHECK(basicBlock->GetName() == "");
+    CHECK(basicBlock->GetTensors().size() == 0);
+    CHECK(basicBlock->GetOperators().size() == 1);
+    CHECK(basicBlock->GetInputs().size() == 0);
+    CHECK(basicBlock->GetOutputs().size() == 0);
+
+    TosaSerializationOperator* op = basicBlock->GetOperators()[0];
+    CHECK(op->GetAttributeType() == Attribute_NONE);
+    CHECK(op->GetOp() == tosa::Op_UNKNOWN);
+    CHECK(op->GetInputTensorNames().size() == 0);
+    CHECK(op->GetOutputTensorNames().size() == 0);
+}
+}