IVGCVSW-1713 Create a minimum unit test to compare the results
before and after passing the FP16 flag in the Android-nn-driver
Change-Id: If8d4ca12421c3bee2526eec98f11d393af822373
diff --git a/test/Convolution2D.hpp b/test/Convolution2D.hpp
new file mode 100644
index 0000000..ff417d9
--- /dev/null
+++ b/test/Convolution2D.hpp
@@ -0,0 +1,129 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#pragma once
+
+#include "DriverTestHelpers.hpp"
+
+#include <boost/test/unit_test.hpp>
+#include <log/log.h>
+
+#include <OperationsUtils.h>
+
+BOOST_AUTO_TEST_SUITE(Convolution2DTests)
+
+using namespace android::hardware;
+using namespace driverTestHelpers;
+using namespace armnn_driver;
+
+namespace driverTestHelpers
+{
+
+void SetModelFp16Flag(V1_0::Model& model, bool fp16Enabled);
+
+#ifdef ARMNN_ANDROID_NN_V1_1
+void SetModelFp16Flag(V1_1::Model& model, bool fp16Enabled);
+#endif
+
+template<typename HalPolicy>
+void PaddingTestImpl(android::nn::PaddingScheme paddingScheme, bool fp16Enabled = false)
+{
+ using HalModel = typename HalPolicy::Model;
+ using HalOperationType = typename HalPolicy::OperationType;
+
+ auto driver = std::make_unique<ArmnnDriver>(DriverOptions(armnn::Compute::GpuAcc, fp16Enabled));
+ HalModel model = {};
+
+ uint32_t outSize = paddingScheme == android::nn::kPaddingSame ? 2 : 1;
+
+ // add operands
+ float weightValue[] = {1.f, -1.f, 0.f, 1.f};
+ float biasValue[] = {0.f};
+
+ AddInputOperand(model, hidl_vec<uint32_t>{1, 2, 3, 1});
+ AddTensorOperand(model, hidl_vec<uint32_t>{1, 2, 2, 1}, weightValue);
+ AddTensorOperand(model, hidl_vec<uint32_t>{1}, biasValue);
+ AddIntOperand(model, (int32_t)paddingScheme); // padding
+ AddIntOperand(model, 2); // stride x
+ AddIntOperand(model, 2); // stride y
+ AddIntOperand(model, 0); // no activation
+ AddOutputOperand(model, hidl_vec<uint32_t>{1, 1, outSize, 1});
+
+ // make the convolution operation
+ model.operations.resize(1);
+ model.operations[0].type = HalOperationType::CONV_2D;
+ model.operations[0].inputs = hidl_vec<uint32_t>{0, 1, 2, 3, 4, 5, 6};
+ model.operations[0].outputs = hidl_vec<uint32_t>{7};
+
+ // make the prepared model
+ SetModelFp16Flag(model, fp16Enabled);
+ android::sp<IPreparedModel> preparedModel = PrepareModel(model, *driver);
+
+ // construct the request
+ DataLocation inloc = {};
+ inloc.poolIndex = 0;
+ inloc.offset = 0;
+ inloc.length = 6 * sizeof(float);
+ RequestArgument input = {};
+ input.location = inloc;
+ input.dimensions = hidl_vec<uint32_t>{};
+
+ DataLocation outloc = {};
+ outloc.poolIndex = 1;
+ outloc.offset = 0;
+ outloc.length = outSize * sizeof(float);
+ RequestArgument output = {};
+ output.location = outloc;
+ output.dimensions = hidl_vec<uint32_t>{};
+
+ Request request = {};
+ request.inputs = hidl_vec<RequestArgument>{input};
+ request.outputs = hidl_vec<RequestArgument>{output};
+
+ // set the input data (matching source test)
+ float indata[] = {1024.25f, 1.f, 0.f, 3.f, -1, -1024.25f};
+ AddPoolAndSetData(6, request, indata);
+
+ // add memory for the output
+ android::sp<IMemory> outMemory = AddPoolAndGetData(outSize, request);
+ float* outdata = reinterpret_cast<float*>(static_cast<void*>(outMemory->getPointer()));
+
+ // run the execution
+ Execute(preparedModel, request);
+
+ // check the result
+ switch (paddingScheme)
+ {
+ case android::nn::kPaddingValid:
+ if (fp16Enabled)
+ {
+ BOOST_TEST(outdata[0] == 1022.f);
+ }
+ else
+ {
+ BOOST_TEST(outdata[0] == 1022.25f);
+ }
+ break;
+ case android::nn::kPaddingSame:
+ if (fp16Enabled)
+ {
+ BOOST_TEST(outdata[0] == 1022.f);
+ BOOST_TEST(outdata[1] == 0.f);
+ }
+ else
+ {
+ BOOST_TEST(outdata[0] == 1022.25f);
+ BOOST_TEST(outdata[1] == 0.f);
+ }
+ break;
+ default:
+ BOOST_TEST(false);
+ break;
+ }
+}
+
+} // namespace driverTestHelpers
+
+BOOST_AUTO_TEST_SUITE_END()