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//
// Copyright © 2022-2024 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include <armnn/Optional.hpp>
#include <armnn/Types.hpp>
#include <gpuFsa/GpuFsaLayerSupport.hpp>
#include <doctest/doctest.h>
#include <iostream>
using namespace armnn;
TEST_SUITE("GpuFsaLayerSupport")
{
TEST_CASE("IsLayerSupportedGpuFsaConv2d")
{
TensorInfo inputInfo ({ 1, 5, 5, 1 }, DataType::Float32);
TensorInfo outputInfo({ 1, 3, 3, 1 }, DataType::Float32);
TensorInfo weightsInfo({ 1, 3, 3, 1 }, DataType::Float32, 0.0f, 0, true);
TensorInfo biasesInfo ({ 1 }, DataType::Float32, 0.0f, 0, true);
Convolution2dDescriptor desc;
desc.m_BiasEnabled = true;
desc.m_DataLayout = DataLayout::NHWC;
GpuFsaLayerSupport supportChecker;
std::string reasonIfNotSupported;
auto supported = supportChecker.IsLayerSupported(LayerType::Convolution2d,
{inputInfo, outputInfo, weightsInfo, biasesInfo},
desc,
EmptyOptional(),
EmptyOptional(),
reasonIfNotSupported);
CHECK(supported);
}
TEST_CASE("IsLayerSupportedGpuFsaConv2dUnsupported")
{
TensorInfo inputInfo ({ 1, 5, 5, 1 }, DataType::Float32);
TensorInfo outputInfo({ 1, 3, 3, 1 }, DataType::Float32);
TensorInfo weightsInfo({ 1, 3, 3, 1 }, DataType::Float32, 0.0f, 0, true);
// NCHW is unsupported.
Convolution2dDescriptor desc;
desc.m_DataLayout = DataLayout::NCHW;
GpuFsaLayerSupport supportChecker;
std::string reasonIfNotSupported;
auto supported = supportChecker.IsLayerSupported(LayerType::Convolution2d,
{inputInfo, outputInfo, weightsInfo, TensorInfo()},
desc,
EmptyOptional(),
EmptyOptional(),
reasonIfNotSupported);
CHECK(!supported);
REQUIRE(reasonIfNotSupported.find("NCHW not supported by this kernel") != std::string::npos);
}
TEST_CASE("IsLayerSupportedGpuFsaElementWiseBinaryAdd")
{
TensorInfo input0Info({ 2, 2 }, DataType::Float32);
TensorInfo input1Info({ 2, 2 }, DataType::Float32);
TensorInfo outputInfo({ 2, 2 }, DataType::Float32);
ElementwiseBinaryDescriptor desc;
desc.m_Operation = BinaryOperation::Add;
GpuFsaLayerSupport supportChecker;
std::string reasonIfNotSupported;
auto supported = supportChecker.IsLayerSupported(LayerType::ElementwiseBinary,
{input0Info, input1Info, outputInfo},
desc,
EmptyOptional(),
EmptyOptional(),
reasonIfNotSupported);
CHECK(supported);
}
TEST_CASE("IsLayerSupportedGpuFsaElementWiseBinarySub")
{
TensorInfo input0Info({ 2, 2 }, DataType::Float32);
TensorInfo input1Info({ 2, 2 }, DataType::Float32);
TensorInfo outputInfo({ 2, 2 }, DataType::Float32);
ElementwiseBinaryDescriptor desc;
desc.m_Operation = BinaryOperation::Sub;
GpuFsaLayerSupport supportChecker;
std::string reasonIfNotSupported;
auto supported = supportChecker.IsLayerSupported(LayerType::ElementwiseBinary,
{input0Info, input1Info, outputInfo},
desc,
EmptyOptional(),
EmptyOptional(),
reasonIfNotSupported);
CHECK(supported);
}
TEST_CASE("IsLayerSupportedGpuFsaPooling2d")
{
TensorInfo inputInfo({ 1, 3, 4, 1 }, DataType::Float32);
TensorInfo outputInfo({ 1, 2, 2, 1 }, DataType::Float32);
Pooling2dDescriptor desc{};
desc.m_PoolType = PoolingAlgorithm::Max;
desc.m_PadLeft = 0;
desc.m_PadRight = 0;
desc.m_PadTop = 0;
desc.m_PadBottom = 0;
desc.m_PoolWidth = 2;
desc.m_PoolHeight = 2;
desc.m_StrideX = 1;
desc.m_StrideY = 1;
desc.m_OutputShapeRounding = OutputShapeRounding::Floor;
desc.m_PaddingMethod = PaddingMethod::Exclude;
desc.m_DataLayout = DataLayout::NHWC;
GpuFsaLayerSupport supportChecker;
std::string reasonIfNotSupported;
auto supported = supportChecker.IsLayerSupported(LayerType::Pooling2d,
{inputInfo, outputInfo},
desc,
EmptyOptional(),
EmptyOptional(),
reasonIfNotSupported);
CHECK(supported);
}
}
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