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//
// Copyright © 2021 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "DelegateOptionsTestHelper.hpp"
namespace armnnDelegate
{
TEST_SUITE("DelegateOptions")
{
TEST_CASE ("ArmnnDelegateOptimizerOptionsReduceFp32ToFp16")
{
std::stringstream ss;
{
StreamRedirector redirect(std::cout, ss.rdbuf());
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
std::vector<int32_t> tensorShape { 1, 2, 2, 1 };
std::vector<float> inputData = { 1, 2, 3, 4 };
std::vector<float> divData = { 2, 2, 3, 4 };
std::vector<float> expectedResult = { 1, 2, 2, 2 };
// Enable ReduceFp32ToFp16
armnn::OptimizerOptions optimizerOptions(true, true, false, false);
armnnDelegate::DelegateOptions delegateOptions(backends, optimizerOptions);
DelegateOptionTest<float>(::tflite::TensorType_FLOAT32,
backends,
tensorShape,
inputData,
inputData,
divData,
expectedResult,
delegateOptions);
}
// ReduceFp32ToFp16 option is enabled
CHECK(ss.str().find("convert_fp32_to_fp16") != std::string::npos);
CHECK(ss.str().find("convert_fp16_to_fp32") != std::string::npos);
}
TEST_CASE ("ArmnnDelegateOptimizerOptionsDebug")
{
std::stringstream ss;
{
StreamRedirector redirect(std::cout, ss.rdbuf());
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
std::vector<int32_t> tensorShape { 1, 2, 2, 1 };
std::vector<float> inputData = { 1, 2, 3, 4 };
std::vector<float> divData = { 2, 2, 3, 4 };
std::vector<float> expectedResult = { 1, 2, 2, 2 };
// Enable Debug
armnn::OptimizerOptions optimizerOptions(false, true, false, false);
armnnDelegate::DelegateOptions delegateOptions(backends, optimizerOptions);
DelegateOptionTest<float>(::tflite::TensorType_FLOAT32,
backends,
tensorShape,
inputData,
inputData,
divData,
expectedResult,
delegateOptions);
}
// Debug option triggered.
CHECK(ss.str().find("layerGuid") != std::string::npos);
CHECK(ss.str().find("layerName") != std::string::npos);
CHECK(ss.str().find("outputSlot") != std::string::npos);
CHECK(ss.str().find("shape") != std::string::npos);
CHECK(ss.str().find("data") != std::string::npos);
}
TEST_CASE ("ArmnnDelegateOptimizerOptionsDebugFunction")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef };
std::vector<int32_t> tensorShape { 1, 2, 2, 1 };
std::vector<float> inputData = { 1, 2, 3, 4 };
std::vector<float> divData = { 2, 2, 3, 4 };
std::vector<float> expectedResult = { 1, 2, 2, 2 };
// Enable debug with debug callback function
armnn::OptimizerOptions optimizerOptions(false, true, false, false);
bool callback = false;
auto mockCallback = [&](armnn::LayerGuid guid, unsigned int slotIndex, armnn::ITensorHandle* tensor)
{
armnn::IgnoreUnused(guid);
armnn::IgnoreUnused(slotIndex);
armnn::IgnoreUnused(tensor);
callback = true;
};
armnn::INetworkProperties networkProperties;
armnnDelegate::DelegateOptions delegateOptions(backends,
optimizerOptions,
armnn::EmptyOptional(),
armnn::Optional<armnn::DebugCallbackFunction>(mockCallback));
CHECK(!callback);
DelegateOptionTest<float>(::tflite::TensorType_FLOAT32,
backends,
tensorShape,
inputData,
inputData,
divData,
expectedResult,
delegateOptions);
// Check that the debug callback function was called.
CHECK(callback);
}
TEST_CASE ("ArmnnDelegateOptimizerOptionsReduceFp32ToBf16")
{
std::stringstream ss;
{
StreamRedirector redirect(std::cout, ss.rdbuf());
ReduceFp32ToBf16TestImpl();
}
// ReduceFp32ToBf16 option is enabled
CHECK(ss.str().find("convert_fp32_to_bf16") != std::string::npos);
}
TEST_CASE ("ArmnnDelegateOptimizerOptionsImport")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc, armnn::Compute::CpuRef };
std::vector<int32_t> tensorShape { 1, 2, 2, 1 };
std::vector<uint8_t> inputData = { 1, 2, 3, 4 };
std::vector<uint8_t> divData = { 2, 2, 3, 4 };
std::vector<uint8_t> expectedResult = { 1, 2, 2, 2 };
armnn::OptimizerOptions optimizerOptions(false, false, false, true);
armnnDelegate::DelegateOptions delegateOptions(backends, optimizerOptions);
DelegateOptionTest<uint8_t>(::tflite::TensorType_UINT8,
backends,
tensorShape,
inputData,
inputData,
divData,
expectedResult,
delegateOptions);
}
}
TEST_SUITE("DelegateOptions_CpuAccTests")
{
TEST_CASE ("ArmnnDelegateModelOptions_CpuAcc_Test")
{
std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc };
std::vector<int32_t> tensorShape { 1, 2, 2, 1 };
std::vector<float> inputData = { 1, 2, 3, 4 };
std::vector<float> divData = { 2, 2, 3, 4 };
std::vector<float> expectedResult = { 1, 2, 2, 2 };
unsigned int numberOfThreads = 2;
armnn::ModelOptions modelOptions;
armnn::BackendOptions cpuAcc("CpuAcc",
{
{ "FastMathEnabled", true },
{ "NumberOfThreads", numberOfThreads }
});
modelOptions.push_back(cpuAcc);
armnn::OptimizerOptions optimizerOptions(false, false, false, false, modelOptions);
armnnDelegate::DelegateOptions delegateOptions(backends, optimizerOptions);
DelegateOptionTest<float>(::tflite::TensorType_FLOAT32,
backends,
tensorShape,
inputData,
inputData,
divData,
expectedResult,
delegateOptions);
}
}
} // namespace armnnDelegate
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