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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "DriverTestHelpers.hpp"
#include "../1.0/HalPolicy.hpp"
#include <boost/test/unit_test.hpp>
#include <log/log.h>
BOOST_AUTO_TEST_SUITE(GenericLayerTests)
using namespace android::hardware;
using namespace driverTestHelpers;
using namespace armnn_driver;
using HalPolicy = hal_1_0::HalPolicy;
BOOST_AUTO_TEST_CASE(GetSupportedOperations)
{
auto driver = std::make_unique<ArmnnDriver>(DriverOptions(armnn::Compute::CpuRef));
V1_0::ErrorStatus errorStatus;
std::vector<bool> supported;
auto cb = [&](V1_0::ErrorStatus _errorStatus, const std::vector<bool>& _supported)
{
errorStatus = _errorStatus;
supported = _supported;
};
HalPolicy::Model model0 = {};
// Add operands
int32_t actValue = 0;
float weightValue[] = {2, 4, 1};
float biasValue[] = {4};
AddInputOperand<HalPolicy>(model0, hidl_vec<uint32_t>{1, 3});
AddTensorOperand<HalPolicy>(model0, hidl_vec<uint32_t>{1, 3}, weightValue);
AddTensorOperand<HalPolicy>(model0, hidl_vec<uint32_t>{1}, biasValue);
AddIntOperand<HalPolicy>(model0, actValue);
AddOutputOperand<HalPolicy>(model0, hidl_vec<uint32_t>{1, 1});
model0.operations.resize(1);
// Make a correct fully connected operation
model0.operations[0].type = HalPolicy::OperationType::FULLY_CONNECTED;
model0.operations[0].inputs = hidl_vec<uint32_t>{0, 1, 2, 3};
model0.operations[0].outputs = hidl_vec<uint32_t>{4};
driver->getSupportedOperations(model0, cb);
BOOST_TEST((int)errorStatus == (int)V1_0::ErrorStatus::NONE);
BOOST_TEST(supported.size() == (size_t)1);
BOOST_TEST(supported[0] == true);
V1_0::Model model1 = {};
AddInputOperand<HalPolicy>(model1, hidl_vec<uint32_t>{1, 3});
AddTensorOperand<HalPolicy>(model1, hidl_vec<uint32_t>{1, 3}, weightValue);
AddTensorOperand<HalPolicy>(model1, hidl_vec<uint32_t>{1}, biasValue);
AddIntOperand<HalPolicy>(model1, actValue);
AddOutputOperand<HalPolicy>(model1, hidl_vec<uint32_t>{1, 1});
model1.operations.resize(2);
// Make a correct fully connected operation
model1.operations[0].type = HalPolicy::OperationType::FULLY_CONNECTED;
model1.operations[0].inputs = hidl_vec<uint32_t>{0, 1, 2, 3};
model1.operations[0].outputs = hidl_vec<uint32_t>{4};
// Add an incorrect fully connected operation
AddIntOperand<HalPolicy>(model1, actValue);
AddOutputOperand<HalPolicy>(model1, hidl_vec<uint32_t>{1, 1});
model1.operations[1].type = HalPolicy::OperationType::FULLY_CONNECTED;
model1.operations[1].inputs = hidl_vec<uint32_t>{4}; // Only 1 input operand, expected 4
model1.operations[1].outputs = hidl_vec<uint32_t>{5};
driver->getSupportedOperations(model1, cb);
BOOST_TEST((int)errorStatus == (int)V1_0::ErrorStatus::INVALID_ARGUMENT);
BOOST_TEST(supported.empty());
// Test Broadcast on add/mul operators
HalPolicy::Model model2 = {};
AddInputOperand<HalPolicy>(model2, hidl_vec<uint32_t>{1, 1, 3, 4});
AddInputOperand<HalPolicy>(model2, hidl_vec<uint32_t>{4});
AddIntOperand<HalPolicy>(model2, actValue);
AddOutputOperand<HalPolicy>(model2, hidl_vec<uint32_t>{1, 1, 3, 4});
AddOutputOperand<HalPolicy>(model2, hidl_vec<uint32_t>{1, 1, 3, 4});
model2.operations.resize(2);
model2.operations[0].type = HalPolicy::OperationType::ADD;
model2.operations[0].inputs = hidl_vec<uint32_t>{0, 1, 2};
model2.operations[0].outputs = hidl_vec<uint32_t>{3};
model2.operations[1].type = HalPolicy::OperationType::MUL;
model2.operations[1].inputs = hidl_vec<uint32_t>{0, 1, 2};
model2.operations[1].outputs = hidl_vec<uint32_t>{4};
driver->getSupportedOperations(model2, cb);
BOOST_TEST((int)errorStatus == (int)V1_0::ErrorStatus::NONE);
BOOST_TEST(supported.size() == (size_t)2);
BOOST_TEST(supported[0] == true);
BOOST_TEST(supported[1] == true);
V1_0::Model model3 = {};
AddInputOperand<HalPolicy>(model3,
hidl_vec<uint32_t>{1, 1, 3, 4},
HalPolicy::OperandType::TENSOR_INT32);
AddInputOperand<HalPolicy>(model3,
hidl_vec<uint32_t>{4},
HalPolicy::OperandType::TENSOR_INT32);
AddInputOperand<HalPolicy>(model3, hidl_vec<uint32_t>{1, 1, 3, 4});
AddOutputOperand<HalPolicy>(model3, hidl_vec<uint32_t>{1, 1, 3, 4});
AddOutputOperand<HalPolicy>(model3,
hidl_vec<uint32_t>{1, 1, 3, 4},
HalPolicy::OperandType::TENSOR_QUANT8_ASYMM,
1.f / 225.f);
model3.operations.resize(1);
// Add unsupported operation, should return no error but we don't support it
model3.operations[0].type = HalPolicy::OperationType::HASHTABLE_LOOKUP;
model3.operations[0].inputs = hidl_vec<uint32_t>{0, 1, 2};
model3.operations[0].outputs = hidl_vec<uint32_t>{3, 4};
driver->getSupportedOperations(model3, cb);
BOOST_TEST((int)errorStatus == (int)V1_0::ErrorStatus::NONE);
BOOST_TEST(supported.size() == (size_t)1);
BOOST_TEST(supported[0] == false);
HalPolicy::Model model4 = {};
AddIntOperand<HalPolicy>(model4, 0);
model4.operations.resize(1);
// Add invalid operation
model4.operations[0].type = static_cast<HalPolicy::OperationType>(100);
model4.operations[0].outputs = hidl_vec<uint32_t>{0};
driver->getSupportedOperations(model4, cb);
BOOST_TEST((int)errorStatus == (int)V1_0::ErrorStatus::INVALID_ARGUMENT);
BOOST_TEST(supported.empty());
}
// The purpose of this test is to ensure that when encountering an unsupported operation
// it is skipped and getSupportedOperations() continues (rather than failing and stopping).
// As per IVGCVSW-710.
BOOST_AUTO_TEST_CASE(UnsupportedLayerContinueOnFailure)
{
auto driver = std::make_unique<ArmnnDriver>(DriverOptions(armnn::Compute::CpuRef));
V1_0::ErrorStatus errorStatus;
std::vector<bool> supported;
auto cb = [&](V1_0::ErrorStatus _errorStatus, const std::vector<bool>& _supported)
{
errorStatus = _errorStatus;
supported = _supported;
};
HalPolicy::Model model = {};
// Operands
int32_t actValue = 0;
float weightValue[] = {2, 4, 1};
float biasValue[] = {4};
// HASHTABLE_LOOKUP is unsupported at the time of writing this test, but any unsupported layer will do
AddInputOperand<HalPolicy>(model,
hidl_vec<uint32_t>{1, 1, 3, 4},
HalPolicy::OperandType::TENSOR_INT32);
AddInputOperand<HalPolicy>(model,
hidl_vec<uint32_t>{4},
HalPolicy::OperandType::TENSOR_INT32);
AddInputOperand<HalPolicy>(model, hidl_vec<uint32_t>{1, 1, 3, 4});
AddOutputOperand<HalPolicy>(model, hidl_vec<uint32_t>{1, 1, 3, 4});
AddOutputOperand<HalPolicy>(model,
hidl_vec<uint32_t>{1, 1, 3, 4},
HalPolicy::OperandType::TENSOR_QUANT8_ASYMM,
1.f / 225.f);
// Fully connected is supported
AddInputOperand<HalPolicy>(model, hidl_vec<uint32_t>{1, 3});
AddTensorOperand<HalPolicy>(model, hidl_vec<uint32_t>{1, 3}, weightValue);
AddTensorOperand<HalPolicy>(model, hidl_vec<uint32_t>{1}, biasValue);
AddIntOperand<HalPolicy>(model, actValue);
AddOutputOperand<HalPolicy>(model, hidl_vec<uint32_t>{1, 1});
// EMBEDDING_LOOKUP is unsupported
AddOutputOperand<HalPolicy>(model, hidl_vec<uint32_t>{1, 1, 3, 4});
model.operations.resize(3);
// Unsupported
model.operations[0].type = HalPolicy::OperationType::HASHTABLE_LOOKUP;
model.operations[0].inputs = hidl_vec<uint32_t>{0, 1, 2};
model.operations[0].outputs = hidl_vec<uint32_t>{3, 4};
// Supported
model.operations[1].type = HalPolicy::OperationType::FULLY_CONNECTED;
model.operations[1].inputs = hidl_vec<uint32_t>{5, 6, 7, 8};
model.operations[1].outputs = hidl_vec<uint32_t>{9};
// Unsupported
model.operations[2].type = HalPolicy::OperationType::EMBEDDING_LOOKUP;
model.operations[2].inputs = hidl_vec<uint32_t>{1, 2};
model.operations[2].outputs = hidl_vec<uint32_t>{10};
// We are testing that the unsupported layers return false and the test continues rather than failing and stopping
driver->getSupportedOperations(model, cb);
BOOST_TEST((int)errorStatus == (int)V1_0::ErrorStatus::NONE);
BOOST_TEST(supported.size() == (size_t)3);
BOOST_TEST(supported[0] == false);
BOOST_TEST(supported[1] == true);
BOOST_TEST(supported[2] == false);
}
// The purpose of this test is to ensure that when encountering an failure
// during mem pool mapping we properly report an error to the framework via a callback
BOOST_AUTO_TEST_CASE(ModelToINetworkConverterMemPoolFail)
{
auto driver = std::make_unique<ArmnnDriver>(DriverOptions(armnn::Compute::CpuRef));
V1_0::ErrorStatus errorStatus;
std::vector<bool> supported;
auto cb = [&](V1_0::ErrorStatus _errorStatus, const std::vector<bool>& _supported)
{
errorStatus = _errorStatus;
supported = _supported;
};
HalPolicy::Model model = {};
model.pools = hidl_vec<hidl_memory>{hidl_memory("Unsuported hidl memory type", nullptr, 0)};
// Memory pool mapping should fail, we should report an error
driver->getSupportedOperations(model, cb);
BOOST_TEST((int)errorStatus != (int)V1_0::ErrorStatus::NONE);
BOOST_TEST(supported.empty());
}
BOOST_AUTO_TEST_SUITE_END()
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