| // |
| // 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(FullyConnectedTests) |
| |
| using namespace android::hardware; |
| using namespace driverTestHelpers; |
| using namespace armnn_driver; |
| |
| using HalPolicy = hal_1_0::HalPolicy; |
| |
| // Add our own test here since we fail the fc tests which Google supplies (because of non-const weights) |
| BOOST_AUTO_TEST_CASE(FullyConnected) |
| { |
| // this should ideally replicate fully_connected_float.model.cpp |
| // but that uses slightly weird dimensions which I don't think we need to support for now |
| |
| auto driver = std::make_unique<ArmnnDriver>(DriverOptions(armnn::Compute::CpuRef)); |
| HalPolicy::Model model = {}; |
| |
| // add operands |
| int32_t actValue = 0; |
| float weightValue[] = {2, 4, 1}; |
| float biasValue[] = {4}; |
| |
| 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}); |
| |
| // make the fully connected operation |
| model.operations.resize(1); |
| model.operations[0].type = HalPolicy::OperationType::FULLY_CONNECTED; |
| model.operations[0].inputs = hidl_vec<uint32_t>{0, 1, 2, 3}; |
| model.operations[0].outputs = hidl_vec<uint32_t>{4}; |
| |
| // make the prepared model |
| android::sp<V1_0::IPreparedModel> preparedModel = PrepareModel(model, *driver); |
| |
| // construct the request |
| DataLocation inloc = {}; |
| inloc.poolIndex = 0; |
| inloc.offset = 0; |
| inloc.length = 3 * sizeof(float); |
| RequestArgument input = {}; |
| input.location = inloc; |
| input.dimensions = hidl_vec<uint32_t>{}; |
| |
| DataLocation outloc = {}; |
| outloc.poolIndex = 1; |
| outloc.offset = 0; |
| outloc.length = 1 * sizeof(float); |
| RequestArgument output = {}; |
| output.location = outloc; |
| output.dimensions = hidl_vec<uint32_t>{}; |
| |
| V1_0::Request request = {}; |
| request.inputs = hidl_vec<RequestArgument>{input}; |
| request.outputs = hidl_vec<RequestArgument>{output}; |
| |
| // set the input data (matching source test) |
| float indata[] = {2, 32, 16}; |
| AddPoolAndSetData<float>(3, request, indata); |
| |
| // add memory for the output |
| android::sp<IMemory> outMemory = AddPoolAndGetData<float>(1, request); |
| float* outdata = static_cast<float*>(static_cast<void*>(outMemory->getPointer())); |
| |
| // run the execution |
| if (preparedModel.get() != nullptr) |
| { |
| Execute(preparedModel, request); |
| } |
| |
| // check the result |
| BOOST_TEST(outdata[0] == 152); |
| } |
| |
| BOOST_AUTO_TEST_CASE(TestFullyConnected4dInput) |
| { |
| auto driver = std::make_unique<ArmnnDriver>(DriverOptions(armnn::Compute::CpuRef)); |
| |
| V1_0::ErrorStatus error; |
| std::vector<bool> sup; |
| |
| ArmnnDriver::getSupportedOperations_cb cb = [&](V1_0::ErrorStatus status, const std::vector<bool>& supported) |
| { |
| error = status; |
| sup = supported; |
| }; |
| |
| HalPolicy::Model model = {}; |
| |
| // operands |
| int32_t actValue = 0; |
| float weightValue[] = {1, 0, 0, 0, 0, 0, 0, 0, |
| 0, 1, 0, 0, 0, 0, 0, 0, |
| 0, 0, 1, 0, 0, 0, 0, 0, |
| 0, 0, 0, 1, 0, 0, 0, 0, |
| 0, 0, 0, 0, 1, 0, 0, 0, |
| 0, 0, 0, 0, 0, 1, 0, 0, |
| 0, 0, 0, 0, 0, 0, 1, 0, |
| 0, 0, 0, 0, 0, 0, 0, 1}; //identity |
| float biasValue[] = {0, 0, 0, 0, 0, 0, 0, 0}; |
| |
| // fully connected operation |
| AddInputOperand<HalPolicy>(model, hidl_vec<uint32_t>{1, 1, 1, 8}); |
| AddTensorOperand<HalPolicy>(model, hidl_vec<uint32_t>{8, 8}, weightValue); |
| AddTensorOperand<HalPolicy>(model, hidl_vec<uint32_t>{8}, biasValue); |
| AddIntOperand<HalPolicy>(model, actValue); |
| AddOutputOperand<HalPolicy>(model, hidl_vec<uint32_t>{1, 8}); |
| |
| model.operations.resize(1); |
| |
| model.operations[0].type = HalPolicy::OperationType::FULLY_CONNECTED; |
| model.operations[0].inputs = hidl_vec<uint32_t>{0,1,2,3}; |
| model.operations[0].outputs = hidl_vec<uint32_t>{4}; |
| |
| // make the prepared model |
| android::sp<V1_0::IPreparedModel> preparedModel = PrepareModel(model, *driver); |
| |
| // construct the request |
| DataLocation inloc = {}; |
| inloc.poolIndex = 0; |
| inloc.offset = 0; |
| inloc.length = 8 * sizeof(float); |
| RequestArgument input = {}; |
| input.location = inloc; |
| input.dimensions = hidl_vec<uint32_t>{}; |
| |
| DataLocation outloc = {}; |
| outloc.poolIndex = 1; |
| outloc.offset = 0; |
| outloc.length = 8 * sizeof(float); |
| RequestArgument output = {}; |
| output.location = outloc; |
| output.dimensions = hidl_vec<uint32_t>{}; |
| |
| V1_0::Request request = {}; |
| request.inputs = hidl_vec<RequestArgument>{input}; |
| request.outputs = hidl_vec<RequestArgument>{output}; |
| |
| // set the input data |
| float indata[] = {1,2,3,4,5,6,7,8}; |
| AddPoolAndSetData(8, request, indata); |
| |
| // add memory for the output |
| android::sp<IMemory> outMemory = AddPoolAndGetData<float>(8, request); |
| float* outdata = static_cast<float*>(static_cast<void*>(outMemory->getPointer())); |
| |
| // run the execution |
| if (preparedModel != nullptr) |
| { |
| Execute(preparedModel, request); |
| } |
| |
| // check the result |
| BOOST_TEST(outdata[0] == 1); |
| BOOST_TEST(outdata[1] == 2); |
| BOOST_TEST(outdata[2] == 3); |
| BOOST_TEST(outdata[3] == 4); |
| BOOST_TEST(outdata[4] == 5); |
| BOOST_TEST(outdata[5] == 6); |
| BOOST_TEST(outdata[6] == 7); |
| BOOST_TEST(outdata[7] == 8); |
| } |
| |
| BOOST_AUTO_TEST_CASE(TestFullyConnected4dInputReshape) |
| { |
| auto driver = std::make_unique<ArmnnDriver>(DriverOptions(armnn::Compute::CpuRef)); |
| |
| V1_0::ErrorStatus error; |
| std::vector<bool> sup; |
| |
| ArmnnDriver::getSupportedOperations_cb cb = [&](V1_0::ErrorStatus status, const std::vector<bool>& supported) |
| { |
| error = status; |
| sup = supported; |
| }; |
| |
| HalPolicy::Model model = {}; |
| |
| // operands |
| int32_t actValue = 0; |
| float weightValue[] = {1, 0, 0, 0, 0, 0, 0, 0, |
| 0, 1, 0, 0, 0, 0, 0, 0, |
| 0, 0, 1, 0, 0, 0, 0, 0, |
| 0, 0, 0, 1, 0, 0, 0, 0, |
| 0, 0, 0, 0, 1, 0, 0, 0, |
| 0, 0, 0, 0, 0, 1, 0, 0, |
| 0, 0, 0, 0, 0, 0, 1, 0, |
| 0, 0, 0, 0, 0, 0, 0, 1}; //identity |
| float biasValue[] = {0, 0, 0, 0, 0, 0, 0, 0}; |
| |
| // fully connected operation |
| AddInputOperand<HalPolicy>(model, hidl_vec<uint32_t>{1, 2, 2, 2}); |
| AddTensorOperand<HalPolicy>(model, hidl_vec<uint32_t>{8, 8}, weightValue); |
| AddTensorOperand<HalPolicy>(model, hidl_vec<uint32_t>{8}, biasValue); |
| AddIntOperand<HalPolicy>(model, actValue); |
| AddOutputOperand<HalPolicy>(model, hidl_vec<uint32_t>{1, 8}); |
| |
| model.operations.resize(1); |
| |
| model.operations[0].type = HalPolicy::OperationType::FULLY_CONNECTED; |
| model.operations[0].inputs = hidl_vec<uint32_t>{0,1,2,3}; |
| model.operations[0].outputs = hidl_vec<uint32_t>{4}; |
| |
| // make the prepared model |
| android::sp<V1_0::IPreparedModel> preparedModel = PrepareModel(model, *driver); |
| |
| // construct the request |
| DataLocation inloc = {}; |
| inloc.poolIndex = 0; |
| inloc.offset = 0; |
| inloc.length = 8 * sizeof(float); |
| RequestArgument input = {}; |
| input.location = inloc; |
| input.dimensions = hidl_vec<uint32_t>{}; |
| |
| DataLocation outloc = {}; |
| outloc.poolIndex = 1; |
| outloc.offset = 0; |
| outloc.length = 8 * sizeof(float); |
| RequestArgument output = {}; |
| output.location = outloc; |
| output.dimensions = hidl_vec<uint32_t>{}; |
| |
| V1_0::Request request = {}; |
| request.inputs = hidl_vec<RequestArgument>{input}; |
| request.outputs = hidl_vec<RequestArgument>{output}; |
| |
| // set the input data |
| float indata[] = {1,2,3,4,5,6,7,8}; |
| AddPoolAndSetData(8, request, indata); |
| |
| // add memory for the output |
| android::sp<IMemory> outMemory = AddPoolAndGetData<float>(8, request); |
| float* outdata = static_cast<float*>(static_cast<void*>(outMemory->getPointer())); |
| |
| // run the execution |
| if (preparedModel != nullptr) |
| { |
| Execute(preparedModel, request); |
| } |
| |
| // check the result |
| BOOST_TEST(outdata[0] == 1); |
| BOOST_TEST(outdata[1] == 2); |
| BOOST_TEST(outdata[2] == 3); |
| BOOST_TEST(outdata[3] == 4); |
| BOOST_TEST(outdata[4] == 5); |
| BOOST_TEST(outdata[5] == 6); |
| BOOST_TEST(outdata[6] == 7); |
| BOOST_TEST(outdata[7] == 8); |
| } |
| |
| BOOST_AUTO_TEST_SUITE_END() |