diff options
Diffstat (limited to 'src/armnn/test/optimizations/FuseActivationTests.cpp')
| -rw-r--r-- | src/armnn/test/optimizations/FuseActivationTests.cpp | 242 |
1 files changed, 121 insertions, 121 deletions
diff --git a/src/armnn/test/optimizations/FuseActivationTests.cpp b/src/armnn/test/optimizations/FuseActivationTests.cpp index 71a554b567..9e332136f6 100644 --- a/src/armnn/test/optimizations/FuseActivationTests.cpp +++ b/src/armnn/test/optimizations/FuseActivationTests.cpp @@ -10,15 +10,15 @@ #include <armnn/INetwork.hpp> #include <test/TestUtils.hpp> -#include <boost/test/unit_test.hpp> +#include <doctest/doctest.h> #include <QuantizeHelper.hpp> #include <string> using namespace armnn; -BOOST_AUTO_TEST_SUITE(Optimizer) - +TEST_SUITE("Optimizer") +{ namespace armnn { @@ -352,8 +352,8 @@ void FuseActivationIntoPreviousLayerTest(ActivationDescriptor activationDescript (layer->GetNameStr() == "fused-activation-into-receiverLayer"); }; - BOOST_CHECK(3 == graphFused.GetNumLayers()); - BOOST_TEST(CheckSequence(graphFused.cbegin(), + CHECK(3 == graphFused.GetNumLayers()); + CHECK(CheckSequence(graphFused.cbegin(), graphFused.cend(), &IsLayerOfType<InputLayer>, checkFusedConv2d, @@ -361,7 +361,7 @@ void FuseActivationIntoPreviousLayerTest(ActivationDescriptor activationDescript // Load network into runtime NetworkId networkIdentifier; - BOOST_TEST(run->LoadNetwork(networkIdentifier, std::move(optNetFused)) == Status::Success); + CHECK(run->LoadNetwork(networkIdentifier, std::move(optNetFused)) == Status::Success); //Creates structures for inputs and outputs. std::vector<float> data = GetVector<float>(LayerTest::inputSize, 1.0f, 0.1f); @@ -374,7 +374,7 @@ void FuseActivationIntoPreviousLayerTest(ActivationDescriptor activationDescript {0, Tensor(run->GetOutputTensorInfo(networkIdentifier, 0), outputDataFused.data())}}; // Execute network - BOOST_TEST(run->EnqueueWorkload(networkIdentifier, inputTensorsFused, outputTensorsFused) == Status::Success); + CHECK(run->EnqueueWorkload(networkIdentifier, inputTensorsFused, outputTensorsFused) == Status::Success); // SECOND NETWORK: NotFused // Construct ArmNN network @@ -388,8 +388,8 @@ void FuseActivationIntoPreviousLayerTest(ActivationDescriptor activationDescript Graph& graphNotFused = GetGraphForTesting(optNetNotFused.get()); - BOOST_CHECK(5 == graphNotFused.GetNumLayers()); - BOOST_TEST(CheckSequence(graphNotFused.cbegin(), + CHECK(5 == graphNotFused.GetNumLayers()); + CHECK(CheckSequence(graphNotFused.cbegin(), graphNotFused.cend(), &IsLayerOfType<InputLayer>, &IsLayerOfType<LayerType>, @@ -399,7 +399,7 @@ void FuseActivationIntoPreviousLayerTest(ActivationDescriptor activationDescript // Load network into runtime NetworkId networkIdentifierNotFused; - BOOST_TEST(runNotFused->LoadNetwork(networkIdentifierNotFused, std::move(optNetNotFused)) == Status::Success); + CHECK(runNotFused->LoadNetwork(networkIdentifierNotFused, std::move(optNetNotFused)) == Status::Success); //Creates structures for inputs and outputs. std::vector<T> inputDataNotFused = armnnUtils::QuantizedVector<T>(data, scale, offset); @@ -413,14 +413,14 @@ void FuseActivationIntoPreviousLayerTest(ActivationDescriptor activationDescript {1, Tensor(runNotFused->GetOutputTensorInfo(networkIdentifierNotFused, 1), outputData2NotFused.data())}}; // Execute network - BOOST_TEST(runNotFused->EnqueueWorkload(networkIdentifierNotFused, inputTensorsNotFused, outputTensorsNotFused) + CHECK(runNotFused->EnqueueWorkload(networkIdentifierNotFused, inputTensorsNotFused, outputTensorsNotFused) == Status::Success); // Check the output of the fused-activation matches with the output of the activation in the "NotFused" network for (unsigned int n = 0; n < outputDataFused.size(); ++n) { - BOOST_CHECK_CLOSE(static_cast<float>(outputDataFused[n]), static_cast<float>(outputDataNotFused[n]), - T(tolerance)); + auto outputNotFused = static_cast<float>(outputDataNotFused[n]); + CHECK(static_cast<float>(outputDataFused[n]) == doctest::Approx(outputNotFused).epsilon(tolerance)); } } @@ -445,7 +445,7 @@ bool FuseActivationSimpleTest(ActivationDescriptor activationDescriptor, Compute // Load network into runtime NetworkId networkIdentifier; - BOOST_TEST(run->LoadNetwork(networkIdentifier, std::move(optNetFused)) == Status::Success); + CHECK(run->LoadNetwork(networkIdentifier, std::move(optNetFused)) == Status::Success); //Creates structures for inputs and outputs. std::vector<float> data = GetVector<float>(LayerTest::inputSize, 1.0f, 0.1f); @@ -476,7 +476,7 @@ bool FuseActivationSimpleTest(ActivationDescriptor activationDescriptor, Compute using namespace armnn; #if defined(ARMCOMPUTENEON_ENABLED) // ReLu fused into Receiver Layers Float32 -BOOST_AUTO_TEST_CASE(FuseReLUIntoConvFloat32CpuAccTest) +TEST_CASE("FuseReLUIntoConvFloat32CpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::ReLu; @@ -484,7 +484,7 @@ BOOST_AUTO_TEST_CASE(FuseReLUIntoConvFloat32CpuAccTest) FuseActivationIntoPreviousLayerTest<Convolution2dTest<DataType::Float32>, DataType::Float32> (activationDescriptor, 0.0001f, Compute::CpuAcc); } -BOOST_AUTO_TEST_CASE(FuseReLUIntoDWConvFloat32CpuAccTest) +TEST_CASE("FuseReLUIntoDWConvFloat32CpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::ReLu; @@ -492,7 +492,7 @@ BOOST_AUTO_TEST_CASE(FuseReLUIntoDWConvFloat32CpuAccTest) FuseActivationIntoPreviousLayerTest<DWConvolution2dTest<DataType::Float32>, DataType::Float32> (activationDescriptor, 0.0001f, Compute::CpuAcc); } -BOOST_AUTO_TEST_CASE(FuseReLUIntoFullyConnectedFloat32CpuAccTest) +TEST_CASE("FuseReLUIntoFullyConnectedFloat32CpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::ReLu; @@ -500,7 +500,7 @@ BOOST_AUTO_TEST_CASE(FuseReLUIntoFullyConnectedFloat32CpuAccTest) FuseActivationIntoPreviousLayerTest<FullyConnectedTest<DataType::Float32>, DataType::Float32> (activationDescriptor, 0.0001f, Compute::CpuAcc); } -BOOST_AUTO_TEST_CASE(FuseReLUIntoBatchNormFloat32CpuAccTest) +TEST_CASE("FuseReLUIntoBatchNormFloat32CpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::ReLu; @@ -510,7 +510,7 @@ BOOST_AUTO_TEST_CASE(FuseReLUIntoBatchNormFloat32CpuAccTest) } // BoundedReLu fused into Receiver Layers Float32 -BOOST_AUTO_TEST_CASE(FuseBoundedReLUIntoConvFloat32CpuAccTest) +TEST_CASE("FuseBoundedReLUIntoConvFloat32CpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::BoundedReLu; @@ -520,7 +520,7 @@ BOOST_AUTO_TEST_CASE(FuseBoundedReLUIntoConvFloat32CpuAccTest) FuseActivationIntoPreviousLayerTest<Convolution2dTest<DataType::Float32>, DataType::Float32> (activationDescriptor, 0.0001f, Compute::CpuAcc); } -BOOST_AUTO_TEST_CASE(FuseBoundedReLUIntoDWConvFloat32CpuAccTest) +TEST_CASE("FuseBoundedReLUIntoDWConvFloat32CpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::BoundedReLu; @@ -530,7 +530,7 @@ BOOST_AUTO_TEST_CASE(FuseBoundedReLUIntoDWConvFloat32CpuAccTest) FuseActivationIntoPreviousLayerTest < DWConvolution2dTest < DataType::Float32 > , DataType::Float32 > (activationDescriptor, 0.0001f, Compute::CpuAcc); } -BOOST_AUTO_TEST_CASE(FuseBoundedReLUIntoFullyConnectedFloat32CpuAccTest) +TEST_CASE("FuseBoundedReLUIntoFullyConnectedFloat32CpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::BoundedReLu; @@ -540,7 +540,7 @@ BOOST_AUTO_TEST_CASE(FuseBoundedReLUIntoFullyConnectedFloat32CpuAccTest) FuseActivationIntoPreviousLayerTest<FullyConnectedTest<DataType::Float32>, DataType::Float32> (activationDescriptor, 0.0001f, Compute::CpuAcc); } -BOOST_AUTO_TEST_CASE(FuseBoundedReLUIntoBatchNormFloat32CpuAccTest) +TEST_CASE("FuseBoundedReLUIntoBatchNormFloat32CpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::BoundedReLu; @@ -552,7 +552,7 @@ BOOST_AUTO_TEST_CASE(FuseBoundedReLUIntoBatchNormFloat32CpuAccTest) } // ReLU fused into Receiver Layers QAsymmU8 -BOOST_AUTO_TEST_CASE(FuseReLUIntoConvQAsymmU8CpuAccTest) +TEST_CASE("FuseReLUIntoConvQAsymmU8CpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::ReLu; @@ -560,7 +560,7 @@ BOOST_AUTO_TEST_CASE(FuseReLUIntoConvQAsymmU8CpuAccTest) FuseActivationIntoPreviousLayerTest<Convolution2dTest<DataType::QAsymmU8>, DataType::QAsymmU8> (activationDescriptor, 0.0001f, Compute::CpuAcc); } -BOOST_AUTO_TEST_CASE(FuseReLUIntoDWConvQAsymmU8CpuAccTest) +TEST_CASE("FuseReLUIntoDWConvQAsymmU8CpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::ReLu; @@ -568,7 +568,7 @@ BOOST_AUTO_TEST_CASE(FuseReLUIntoDWConvQAsymmU8CpuAccTest) FuseActivationIntoPreviousLayerTest<DWConvolution2dTest<DataType::QAsymmU8>, DataType::QAsymmU8> (activationDescriptor, 0.0001f, Compute::CpuAcc); } -BOOST_AUTO_TEST_CASE(FuseReLUIntoFullyConnectedQAsymmU8CpuAccTest) +TEST_CASE("FuseReLUIntoFullyConnectedQAsymmU8CpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::ReLu; @@ -578,7 +578,7 @@ BOOST_AUTO_TEST_CASE(FuseReLUIntoFullyConnectedQAsymmU8CpuAccTest) } // BoundedReLu fused into Receiver Layers QAsymmS8 -BOOST_AUTO_TEST_CASE(FuseBoundedReLUIntoConvQASymmS8CpuAccTest) +TEST_CASE("FuseBoundedReLUIntoConvQASymmS8CpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::BoundedReLu; @@ -588,7 +588,7 @@ BOOST_AUTO_TEST_CASE(FuseBoundedReLUIntoConvQASymmS8CpuAccTest) FuseActivationIntoPreviousLayerTest<Convolution2dTest<DataType::QAsymmS8>, DataType::QAsymmS8> (activationDescriptor, 0.0001f, Compute::CpuAcc); } -BOOST_AUTO_TEST_CASE(FuseBoundedReLUIntoDWConvQASymmS8CpuAccTest) +TEST_CASE("FuseBoundedReLUIntoDWConvQASymmS8CpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::BoundedReLu; @@ -598,7 +598,7 @@ BOOST_AUTO_TEST_CASE(FuseBoundedReLUIntoDWConvQASymmS8CpuAccTest) FuseActivationIntoPreviousLayerTest < DWConvolution2dTest < DataType::QAsymmS8 > , DataType::QAsymmS8 > (activationDescriptor, 0.0001f, Compute::CpuAcc); } -BOOST_AUTO_TEST_CASE(FuseBoundedReLUIntoFullyConnectedQASymmS8CpuAccTest) +TEST_CASE("FuseBoundedReLUIntoFullyConnectedQASymmS8CpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::BoundedReLu; @@ -610,7 +610,7 @@ BOOST_AUTO_TEST_CASE(FuseBoundedReLUIntoFullyConnectedQASymmS8CpuAccTest) } // TanH fused into Receiver Layers Float32 -BOOST_AUTO_TEST_CASE(FuseTanHIntoConvFloat32CpuAccTest) +TEST_CASE("FuseTanHIntoConvFloat32CpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::TanH; @@ -620,7 +620,7 @@ BOOST_AUTO_TEST_CASE(FuseTanHIntoConvFloat32CpuAccTest) } // HardSwish fused into Receiver Layers Float32 -BOOST_AUTO_TEST_CASE(FuseHardSwishIntoConvFloat32CpuAccTest) +TEST_CASE("FuseHardSwishIntoConvFloat32CpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::HardSwish; @@ -630,7 +630,7 @@ BOOST_AUTO_TEST_CASE(FuseHardSwishIntoConvFloat32CpuAccTest) } // Test that all receiver layers follow by all activation layers work, either fused or not fused -BOOST_AUTO_TEST_CASE(LayerFollowedByActivationFloat32CpuAccTest) +TEST_CASE("LayerFollowedByActivationFloat32CpuAccTest") { ActivationDescriptor activationDescriptor; for (int i = 0; i != 12; ++i) @@ -638,17 +638,17 @@ BOOST_AUTO_TEST_CASE(LayerFollowedByActivationFloat32CpuAccTest) activationDescriptor.m_Function = static_cast<ActivationFunction>(i); activationDescriptor.m_A = 1.0f; activationDescriptor.m_B = -1.0f; - BOOST_CHECK_MESSAGE((FuseActivationSimpleTest<Convolution2dTest<DataType::Float32>, DataType::Float32> + CHECK_MESSAGE((FuseActivationSimpleTest<Convolution2dTest<DataType::Float32>, DataType::Float32> (activationDescriptor, Compute::CpuAcc)), "Convolution + Activation function " << i); - BOOST_CHECK_MESSAGE((FuseActivationSimpleTest<DWConvolution2dTest<DataType::Float32>, DataType::Float32> + CHECK_MESSAGE((FuseActivationSimpleTest<DWConvolution2dTest<DataType::Float32>, DataType::Float32> (activationDescriptor, Compute::CpuAcc)), "DepthwiseConvolution + Activation function " << i); - BOOST_CHECK_MESSAGE((FuseActivationSimpleTest<FullyConnectedTest<DataType::Float32>, DataType::Float32> + CHECK_MESSAGE((FuseActivationSimpleTest<FullyConnectedTest<DataType::Float32>, DataType::Float32> (activationDescriptor, Compute::CpuAcc)), "FullyConnected + Activation function " << i); - BOOST_CHECK_MESSAGE((FuseActivationSimpleTest<BatchNormTest<DataType::Float32>, DataType::Float32> + CHECK_MESSAGE((FuseActivationSimpleTest<BatchNormTest<DataType::Float32>, DataType::Float32> (activationDescriptor, Compute::CpuAcc)), "BatchNorm + Activation function " << i); } } -BOOST_AUTO_TEST_CASE(LayerFollowedByActivationFloat16CpuAccTest) +TEST_CASE("LayerFollowedByActivationFloat16CpuAccTest") { ActivationDescriptor activationDescriptor; for (int i = 0; i != 12; ++i) @@ -656,59 +656,59 @@ BOOST_AUTO_TEST_CASE(LayerFollowedByActivationFloat16CpuAccTest) activationDescriptor.m_Function = static_cast<ActivationFunction>(i); activationDescriptor.m_A = 1.0f; activationDescriptor.m_B = -1.0f; - BOOST_CHECK_MESSAGE((FuseActivationSimpleTest<Convolution2dTest<DataType::Float16>, DataType::Float16> + CHECK_MESSAGE((FuseActivationSimpleTest<Convolution2dTest<DataType::Float16>, DataType::Float16> (activationDescriptor, Compute::CpuAcc)), "Convolution + Activation function " << i); - BOOST_CHECK_MESSAGE((FuseActivationSimpleTest<DWConvolution2dTest<DataType::Float16>, DataType::Float16> + CHECK_MESSAGE((FuseActivationSimpleTest<DWConvolution2dTest<DataType::Float16>, DataType::Float16> (activationDescriptor, Compute::CpuAcc)), "DepthwiseConvolution + Activation function " << i); - BOOST_CHECK_MESSAGE((FuseActivationSimpleTest<FullyConnectedTest<DataType::Float16>, DataType::Float16> + CHECK_MESSAGE((FuseActivationSimpleTest<FullyConnectedTest<DataType::Float16>, DataType::Float16> (activationDescriptor, Compute::CpuAcc)), "FullyConnected + Activation function " << i); - BOOST_CHECK_MESSAGE((FuseActivationSimpleTest<BatchNormTest<DataType::Float16>, DataType::Float16> + CHECK_MESSAGE((FuseActivationSimpleTest<BatchNormTest<DataType::Float16>, DataType::Float16> (activationDescriptor, Compute::CpuAcc)), "BatchNorm + Activation function " << i); } } -BOOST_AUTO_TEST_CASE(LayerFollowedByActivationQAsymmU8CpuAccTest) +TEST_CASE("LayerFollowedByActivationQAsymmU8CpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::Sigmoid; - BOOST_CHECK_MESSAGE((FuseActivationSimpleTest<Convolution2dTest<DataType::QAsymmU8>, DataType::QAsymmU8> + CHECK_MESSAGE((FuseActivationSimpleTest<Convolution2dTest<DataType::QAsymmU8>, DataType::QAsymmU8> (activationDescriptor, Compute::CpuAcc, 1.f / 256.f, 0)), "Convolution + Activation function " << static_cast<int>(activationDescriptor.m_Function)); - BOOST_CHECK_MESSAGE((FuseActivationSimpleTest<FullyConnectedTest<DataType::QAsymmU8>, DataType::QAsymmU8> + CHECK_MESSAGE((FuseActivationSimpleTest<FullyConnectedTest<DataType::QAsymmU8>, DataType::QAsymmU8> (activationDescriptor, Compute::CpuAcc, 1.f / 256.f, 0)), "FullyConnected + Activation function " << static_cast<int>(activationDescriptor.m_Function)); activationDescriptor.m_Function = ActivationFunction::TanH; - BOOST_CHECK_MESSAGE((FuseActivationSimpleTest<Convolution2dTest<DataType::QAsymmU8>, DataType::QAsymmU8> + CHECK_MESSAGE((FuseActivationSimpleTest<Convolution2dTest<DataType::QAsymmU8>, DataType::QAsymmU8> (activationDescriptor, Compute::CpuAcc, 1.f / 128.f, 128)), "Convolution + Activation function " << static_cast<int>(activationDescriptor.m_Function)); - BOOST_CHECK_MESSAGE((FuseActivationSimpleTest<FullyConnectedTest<DataType::QAsymmU8>, DataType::QAsymmU8> + CHECK_MESSAGE((FuseActivationSimpleTest<FullyConnectedTest<DataType::QAsymmU8>, DataType::QAsymmU8> (activationDescriptor, Compute::CpuAcc, 1.f / 128.f, 128)), "FullyConnected + Activation function " << static_cast<int>(activationDescriptor.m_Function)); activationDescriptor.m_Function = ActivationFunction::ReLu; - BOOST_CHECK_MESSAGE((FuseActivationSimpleTest<Convolution2dTest<DataType::QAsymmU8>, DataType::QAsymmU8> + CHECK_MESSAGE((FuseActivationSimpleTest<Convolution2dTest<DataType::QAsymmU8>, DataType::QAsymmU8> (activationDescriptor, Compute::CpuAcc)), "Convolution + Activation function " << static_cast<int>(activationDescriptor.m_Function)); - BOOST_CHECK_MESSAGE((FuseActivationSimpleTest<FullyConnectedTest<DataType::QAsymmU8>, DataType::QAsymmU8> + CHECK_MESSAGE((FuseActivationSimpleTest<FullyConnectedTest<DataType::QAsymmU8>, DataType::QAsymmU8> (activationDescriptor, Compute::CpuAcc)), "FullyConnected + Activation function " << static_cast<int>(activationDescriptor.m_Function)); activationDescriptor.m_Function = ActivationFunction::BoundedReLu; activationDescriptor.m_A = 1.0f; activationDescriptor.m_B = -1.0f; - BOOST_CHECK_MESSAGE((FuseActivationSimpleTest<Convolution2dTest<DataType::QAsymmU8>, DataType::QAsymmU8> + CHECK_MESSAGE((FuseActivationSimpleTest<Convolution2dTest<DataType::QAsymmU8>, DataType::QAsymmU8> (activationDescriptor, Compute::CpuAcc)), "Convolution + Activation function " << static_cast<int>(activationDescriptor.m_Function)); - BOOST_CHECK_MESSAGE((FuseActivationSimpleTest<FullyConnectedTest<DataType::QAsymmU8>, DataType::QAsymmU8> + CHECK_MESSAGE((FuseActivationSimpleTest<FullyConnectedTest<DataType::QAsymmU8>, DataType::QAsymmU8> (activationDescriptor, Compute::CpuAcc)), "FullyConnected + Activation function " << static_cast<int>(activationDescriptor.m_Function)); activationDescriptor.m_Function = ActivationFunction::HardSwish; - BOOST_CHECK_MESSAGE((FuseActivationSimpleTest<Convolution2dTest<DataType::QAsymmU8>, DataType::QAsymmU8> + CHECK_MESSAGE((FuseActivationSimpleTest<Convolution2dTest<DataType::QAsymmU8>, DataType::QAsymmU8> (activationDescriptor, Compute::CpuAcc)), "Convolution + Activation function " << static_cast<int>(activationDescriptor.m_Function)); - BOOST_CHECK_MESSAGE((FuseActivationSimpleTest<FullyConnectedTest<DataType::QAsymmU8>, DataType::QAsymmU8> + CHECK_MESSAGE((FuseActivationSimpleTest<FullyConnectedTest<DataType::QAsymmU8>, DataType::QAsymmU8> (activationDescriptor, Compute::CpuAcc)), "FullyConnected + Activation function " << static_cast<int>(activationDescriptor.m_Function)); } @@ -716,7 +716,7 @@ BOOST_AUTO_TEST_CASE(LayerFollowedByActivationQAsymmU8CpuAccTest) #if defined(ARMCOMPUTECL_ENABLED) // ReLu fused into Receiver Layers Float32 -BOOST_AUTO_TEST_CASE(FuseReLUIntoConvFloat32GpuAccTest) +TEST_CASE("FuseReLUIntoConvFloat32GpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::ReLu; @@ -724,7 +724,7 @@ BOOST_AUTO_TEST_CASE(FuseReLUIntoConvFloat32GpuAccTest) FuseActivationIntoPreviousLayerTest<Convolution2dTest<DataType::Float32>, DataType::Float32> (activationDescriptor, 0.0001f, Compute::GpuAcc); } -BOOST_AUTO_TEST_CASE(FuseReLUIntoDWConvFloat32GpuAccTest) +TEST_CASE("FuseReLUIntoDWConvFloat32GpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::ReLu; @@ -732,7 +732,7 @@ BOOST_AUTO_TEST_CASE(FuseReLUIntoDWConvFloat32GpuAccTest) FuseActivationIntoPreviousLayerTest<DWConvolution2dTest<DataType::Float32>, DataType::Float32> (activationDescriptor, 0.0001f, Compute::GpuAcc); } -BOOST_AUTO_TEST_CASE(FuseReLUIntoFullyConnectedFloat32GpuAccTest) +TEST_CASE("FuseReLUIntoFullyConnectedFloat32GpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::ReLu; @@ -740,7 +740,7 @@ BOOST_AUTO_TEST_CASE(FuseReLUIntoFullyConnectedFloat32GpuAccTest) FuseActivationIntoPreviousLayerTest<FullyConnectedTest<DataType::Float32>, DataType::Float32> (activationDescriptor, 0.0001f, Compute::GpuAcc); } -BOOST_AUTO_TEST_CASE(FuseReLUIntoBatchNormFloat32GpuAccTest) +TEST_CASE("FuseReLUIntoBatchNormFloat32GpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::ReLu; @@ -748,7 +748,7 @@ BOOST_AUTO_TEST_CASE(FuseReLUIntoBatchNormFloat32GpuAccTest) FuseActivationIntoPreviousLayerTest<BatchNormTest<DataType::Float32>, DataType::Float32> (activationDescriptor, 0.0001f, Compute::GpuAcc); } -BOOST_AUTO_TEST_CASE(FuseReLUIntoMulFloat32GpuAccTest) +TEST_CASE("FuseReLUIntoMulFloat32GpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::ReLu; @@ -756,7 +756,7 @@ BOOST_AUTO_TEST_CASE(FuseReLUIntoMulFloat32GpuAccTest) FuseActivationIntoPreviousLayerTest<MultiplicationTest<DataType::Float32>, DataType::Float32> (activationDescriptor, 0.0001f, Compute::GpuAcc); } -BOOST_AUTO_TEST_CASE(FuseReLUIntoAddFloat32GpuAccTest) +TEST_CASE("FuseReLUIntoAddFloat32GpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::ReLu; @@ -764,7 +764,7 @@ BOOST_AUTO_TEST_CASE(FuseReLUIntoAddFloat32GpuAccTest) FuseActivationIntoPreviousLayerTest<AdditionTest<DataType::Float32>, DataType::Float32> (activationDescriptor, 0.0001f, Compute::GpuAcc); } -BOOST_AUTO_TEST_CASE(FuseReLUIntoSubFloat32GpuAccTest) +TEST_CASE("FuseReLUIntoSubFloat32GpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::ReLu; @@ -772,7 +772,7 @@ BOOST_AUTO_TEST_CASE(FuseReLUIntoSubFloat32GpuAccTest) FuseActivationIntoPreviousLayerTest<SubtractionTest<DataType::Float32>, DataType::Float32> (activationDescriptor, 0.0001f, Compute::GpuAcc); } -BOOST_AUTO_TEST_CASE(FuseReLUIntoDivFloat32GpuAccTest) +TEST_CASE("FuseReLUIntoDivFloat32GpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::ReLu; @@ -782,7 +782,7 @@ BOOST_AUTO_TEST_CASE(FuseReLUIntoDivFloat32GpuAccTest) } // BoundedReLu fused into Receiver Layers Float32 -BOOST_AUTO_TEST_CASE(FuseBoundedReLUIntoConvFloat32GpuAccTest) +TEST_CASE("FuseBoundedReLUIntoConvFloat32GpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::BoundedReLu; @@ -792,7 +792,7 @@ BOOST_AUTO_TEST_CASE(FuseBoundedReLUIntoConvFloat32GpuAccTest) FuseActivationIntoPreviousLayerTest<Convolution2dTest<DataType::Float32>, DataType::Float32> (activationDescriptor, 0.0001f, Compute::GpuAcc); } -BOOST_AUTO_TEST_CASE(FuseBoundedReLUIntoDWConvFloat32GpuAccTest) +TEST_CASE("FuseBoundedReLUIntoDWConvFloat32GpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::BoundedReLu; @@ -802,7 +802,7 @@ BOOST_AUTO_TEST_CASE(FuseBoundedReLUIntoDWConvFloat32GpuAccTest) FuseActivationIntoPreviousLayerTest<DWConvolution2dTest<DataType::Float32>, DataType::Float32> (activationDescriptor, 0.0001f, Compute::GpuAcc); } -BOOST_AUTO_TEST_CASE(FuseBoundedReLUIntoFullyConnectedFloat32GpuAccTest) +TEST_CASE("FuseBoundedReLUIntoFullyConnectedFloat32GpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::BoundedReLu; @@ -812,7 +812,7 @@ BOOST_AUTO_TEST_CASE(FuseBoundedReLUIntoFullyConnectedFloat32GpuAccTest) FuseActivationIntoPreviousLayerTest<FullyConnectedTest<DataType::Float32>, DataType::Float32> (activationDescriptor, 0.0001f, Compute::GpuAcc); } -BOOST_AUTO_TEST_CASE(FuseBoundedReLUIntoBatchNormFloat32GpuAccTest) +TEST_CASE("FuseBoundedReLUIntoBatchNormFloat32GpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::BoundedReLu; @@ -822,7 +822,7 @@ BOOST_AUTO_TEST_CASE(FuseBoundedReLUIntoBatchNormFloat32GpuAccTest) FuseActivationIntoPreviousLayerTest<BatchNormTest<DataType::Float32>, DataType::Float32> (activationDescriptor, 0.0001f, Compute::GpuAcc); } -BOOST_AUTO_TEST_CASE(FuseBoundedReLUIntoMulFloat32GpuAccTest) +TEST_CASE("FuseBoundedReLUIntoMulFloat32GpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::BoundedReLu; @@ -832,7 +832,7 @@ BOOST_AUTO_TEST_CASE(FuseBoundedReLUIntoMulFloat32GpuAccTest) FuseActivationIntoPreviousLayerTest<MultiplicationTest<DataType::Float32>, DataType::Float32> (activationDescriptor, 0.0001f, Compute::GpuAcc); } -BOOST_AUTO_TEST_CASE(FuseBoundedReLUIntoAddFloat32GpuAccTest) +TEST_CASE("FuseBoundedReLUIntoAddFloat32GpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::BoundedReLu; @@ -842,7 +842,7 @@ BOOST_AUTO_TEST_CASE(FuseBoundedReLUIntoAddFloat32GpuAccTest) FuseActivationIntoPreviousLayerTest<AdditionTest<DataType::Float32>, DataType::Float32> (activationDescriptor, 0.0001f, Compute::GpuAcc); } -BOOST_AUTO_TEST_CASE(FuseBoundedReLUIntoSubFloat32GpuAccTest) +TEST_CASE("FuseBoundedReLUIntoSubFloat32GpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::BoundedReLu; @@ -852,7 +852,7 @@ BOOST_AUTO_TEST_CASE(FuseBoundedReLUIntoSubFloat32GpuAccTest) FuseActivationIntoPreviousLayerTest<SubtractionTest<DataType::Float32>, DataType::Float32> (activationDescriptor, 0.0001f, Compute::GpuAcc); } -BOOST_AUTO_TEST_CASE(FuseBoundedReLUIntoDivFloat32GpuAccTest) +TEST_CASE("FuseBoundedReLUIntoDivFloat32GpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::BoundedReLu; @@ -864,7 +864,7 @@ BOOST_AUTO_TEST_CASE(FuseBoundedReLUIntoDivFloat32GpuAccTest) } // ReLu fused into Receiver Layers Float16 -BOOST_AUTO_TEST_CASE(FuseReLUIntoConvFloat16GpuAccTest) +TEST_CASE("FuseReLUIntoConvFloat16GpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::ReLu; @@ -872,7 +872,7 @@ BOOST_AUTO_TEST_CASE(FuseReLUIntoConvFloat16GpuAccTest) FuseActivationIntoPreviousLayerTest<Convolution2dTest<DataType::Float16>, DataType::Float16> (activationDescriptor, 0.0001f, Compute::GpuAcc); } -BOOST_AUTO_TEST_CASE(FuseReLUIntoDWConvFloat16GpuAccTest) +TEST_CASE("FuseReLUIntoDWConvFloat16GpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::ReLu; @@ -880,7 +880,7 @@ BOOST_AUTO_TEST_CASE(FuseReLUIntoDWConvFloat16GpuAccTest) FuseActivationIntoPreviousLayerTest<DWConvolution2dTest<DataType::Float16>, DataType::Float16> (activationDescriptor, 0.0001f, Compute::GpuAcc); } -BOOST_AUTO_TEST_CASE(FuseReLUIntoFullyConnectedFloat16GpuAccTest) +TEST_CASE("FuseReLUIntoFullyConnectedFloat16GpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::ReLu; @@ -888,7 +888,7 @@ BOOST_AUTO_TEST_CASE(FuseReLUIntoFullyConnectedFloat16GpuAccTest) FuseActivationIntoPreviousLayerTest<FullyConnectedTest<DataType::Float16>, DataType::Float16> (activationDescriptor, 0.0001f, Compute::GpuAcc); } -BOOST_AUTO_TEST_CASE(FuseReLUIntoBatchNormFloat16GpuAccTest) +TEST_CASE("FuseReLUIntoBatchNormFloat16GpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::ReLu; @@ -896,7 +896,7 @@ BOOST_AUTO_TEST_CASE(FuseReLUIntoBatchNormFloat16GpuAccTest) FuseActivationIntoPreviousLayerTest<BatchNormTest<DataType::Float16>, DataType::Float16> (activationDescriptor, 0.0001f, Compute::GpuAcc); } -BOOST_AUTO_TEST_CASE(FuseReLUIntoMulFloat16GpuAccTest) +TEST_CASE("FuseReLUIntoMulFloat16GpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::ReLu; @@ -904,7 +904,7 @@ BOOST_AUTO_TEST_CASE(FuseReLUIntoMulFloat16GpuAccTest) FuseActivationIntoPreviousLayerTest<MultiplicationTest<DataType::Float16>, DataType::Float16> (activationDescriptor, 0.0001f, Compute::GpuAcc); } -BOOST_AUTO_TEST_CASE(FuseReLUIntoAddFloat16GpuAccTest) +TEST_CASE("FuseReLUIntoAddFloat16GpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::ReLu; @@ -912,7 +912,7 @@ BOOST_AUTO_TEST_CASE(FuseReLUIntoAddFloat16GpuAccTest) FuseActivationIntoPreviousLayerTest<AdditionTest<DataType::Float16>, DataType::Float16> (activationDescriptor, 0.0001f, Compute::GpuAcc); } -BOOST_AUTO_TEST_CASE(FuseReLUIntoSubFloat16GpuAccTest) +TEST_CASE("FuseReLUIntoSubFloat16GpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::ReLu; @@ -920,7 +920,7 @@ BOOST_AUTO_TEST_CASE(FuseReLUIntoSubFloat16GpuAccTest) FuseActivationIntoPreviousLayerTest<SubtractionTest<DataType::Float16>, DataType::Float16> (activationDescriptor, 0.0001f, Compute::GpuAcc); } -BOOST_AUTO_TEST_CASE(FuseReLUIntoDivFloat16GpuAccTest) +TEST_CASE("FuseReLUIntoDivFloat16GpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::ReLu; @@ -930,7 +930,7 @@ BOOST_AUTO_TEST_CASE(FuseReLUIntoDivFloat16GpuAccTest) } // ReLU fused into Receiver Layers QAsymmU8 -BOOST_AUTO_TEST_CASE(FuseReLUQIntoConvAsymmU8GpuAccTest) +TEST_CASE("FuseReLUQIntoConvAsymmU8GpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::ReLu; @@ -938,7 +938,7 @@ BOOST_AUTO_TEST_CASE(FuseReLUQIntoConvAsymmU8GpuAccTest) FuseActivationIntoPreviousLayerTest<Convolution2dTest<DataType::QAsymmU8>, DataType::QAsymmU8> (activationDescriptor, 0.0001f, Compute::GpuAcc); } -BOOST_AUTO_TEST_CASE(FuseReLUQIntoDWConvAsymmU8GpuAccTest) +TEST_CASE("FuseReLUQIntoDWConvAsymmU8GpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::ReLu; @@ -946,7 +946,7 @@ BOOST_AUTO_TEST_CASE(FuseReLUQIntoDWConvAsymmU8GpuAccTest) FuseActivationIntoPreviousLayerTest<DWConvolution2dTest<DataType::QAsymmU8>, DataType::QAsymmU8> (activationDescriptor, 0.0001f, Compute::GpuAcc); } -BOOST_AUTO_TEST_CASE(FuseReLUQIntoFullyConnectedAsymmU8GpuAccTest) +TEST_CASE("FuseReLUQIntoFullyConnectedAsymmU8GpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::ReLu; @@ -956,7 +956,7 @@ BOOST_AUTO_TEST_CASE(FuseReLUQIntoFullyConnectedAsymmU8GpuAccTest) } // BoundedReLu fused into Receiver Layers QAsymmS8 -BOOST_AUTO_TEST_CASE(FuseBoundedReLUIntoConvQASymmS8GpuAccTest) +TEST_CASE("FuseBoundedReLUIntoConvQASymmS8GpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::BoundedReLu; @@ -966,7 +966,7 @@ BOOST_AUTO_TEST_CASE(FuseBoundedReLUIntoConvQASymmS8GpuAccTest) FuseActivationIntoPreviousLayerTest<Convolution2dTest<DataType::QAsymmS8>, DataType::QAsymmS8> (activationDescriptor, 0.0001f, Compute::GpuAcc); } -BOOST_AUTO_TEST_CASE(FuseBoundedReLUIntoDWConvQASymmS8GpuAccTest) +TEST_CASE("FuseBoundedReLUIntoDWConvQASymmS8GpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::BoundedReLu; @@ -976,7 +976,7 @@ BOOST_AUTO_TEST_CASE(FuseBoundedReLUIntoDWConvQASymmS8GpuAccTest) FuseActivationIntoPreviousLayerTest < DWConvolution2dTest < DataType::QAsymmS8 > , DataType::QAsymmS8 > (activationDescriptor, 0.0001f, Compute::GpuAcc); } -BOOST_AUTO_TEST_CASE(FuseBoundedReLUIntoFullyConnectedQASymmS8GpuAccTest) +TEST_CASE("FuseBoundedReLUIntoFullyConnectedQASymmS8GpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::BoundedReLu; @@ -988,7 +988,7 @@ BOOST_AUTO_TEST_CASE(FuseBoundedReLUIntoFullyConnectedQASymmS8GpuAccTest) } // TanH fused into Receiver Layers Float32 -BOOST_AUTO_TEST_CASE(FuseTanHIntoConvFloat32GpuAccTest) +TEST_CASE("FuseTanHIntoConvFloat32GpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::TanH; @@ -996,7 +996,7 @@ BOOST_AUTO_TEST_CASE(FuseTanHIntoConvFloat32GpuAccTest) FuseActivationIntoPreviousLayerTest<Convolution2dTest<DataType::Float32>, DataType::Float32> (activationDescriptor, 0.0001f, Compute::GpuAcc); } -BOOST_AUTO_TEST_CASE(FuseTanHIntoMulFloat32GpuAccTest) +TEST_CASE("FuseTanHIntoMulFloat32GpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::TanH; @@ -1004,7 +1004,7 @@ BOOST_AUTO_TEST_CASE(FuseTanHIntoMulFloat32GpuAccTest) FuseActivationIntoPreviousLayerTest<MultiplicationTest<DataType::Float32>, DataType::Float32> (activationDescriptor, 0.0001f, Compute::GpuAcc); } -BOOST_AUTO_TEST_CASE(FuseTanHIntoAddFloat32GpuAccTest) +TEST_CASE("FuseTanHIntoAddFloat32GpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::TanH; @@ -1012,7 +1012,7 @@ BOOST_AUTO_TEST_CASE(FuseTanHIntoAddFloat32GpuAccTest) FuseActivationIntoPreviousLayerTest<AdditionTest<DataType::Float32>, DataType::Float32> (activationDescriptor, 0.0001f, Compute::GpuAcc); } -BOOST_AUTO_TEST_CASE(FuseTanHIntoSubFloat32GpuAccTest) +TEST_CASE("FuseTanHIntoSubFloat32GpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::TanH; @@ -1020,7 +1020,7 @@ BOOST_AUTO_TEST_CASE(FuseTanHIntoSubFloat32GpuAccTest) FuseActivationIntoPreviousLayerTest<SubtractionTest<DataType::Float32>, DataType::Float32> (activationDescriptor, 0.0001f, Compute::GpuAcc); } -BOOST_AUTO_TEST_CASE(FuseTanHIntoDivFloat32GpuAccTest) +TEST_CASE("FuseTanHIntoDivFloat32GpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::TanH; @@ -1030,7 +1030,7 @@ BOOST_AUTO_TEST_CASE(FuseTanHIntoDivFloat32GpuAccTest) } // HardSwish fused into Receiver Layers Float32 -BOOST_AUTO_TEST_CASE(FuseHardSwishIntoConvFloat32GpuAccTest) +TEST_CASE("FuseHardSwishIntoConvFloat32GpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::HardSwish; @@ -1038,7 +1038,7 @@ BOOST_AUTO_TEST_CASE(FuseHardSwishIntoConvFloat32GpuAccTest) FuseActivationIntoPreviousLayerTest<Convolution2dTest<DataType::Float32>, DataType::Float32> (activationDescriptor, 0.0001f, Compute::GpuAcc); } -BOOST_AUTO_TEST_CASE(FuseHardSwishIntoMulFloat32GpuAccTest) +TEST_CASE("FuseHardSwishIntoMulFloat32GpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::HardSwish; @@ -1046,7 +1046,7 @@ BOOST_AUTO_TEST_CASE(FuseHardSwishIntoMulFloat32GpuAccTest) FuseActivationIntoPreviousLayerTest<MultiplicationTest<DataType::Float32>, DataType::Float32> (activationDescriptor, 0.0001f, Compute::GpuAcc); } -BOOST_AUTO_TEST_CASE(FuseHardSwishIntoAddFloat32GpuAccTest) +TEST_CASE("FuseHardSwishIntoAddFloat32GpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::HardSwish; @@ -1054,7 +1054,7 @@ BOOST_AUTO_TEST_CASE(FuseHardSwishIntoAddFloat32GpuAccTest) FuseActivationIntoPreviousLayerTest<AdditionTest<DataType::Float32>, DataType::Float32> (activationDescriptor, 0.0001f, Compute::GpuAcc); } -BOOST_AUTO_TEST_CASE(FuseHardSwishIntoSubFloat32GpuAccTest) +TEST_CASE("FuseHardSwishIntoSubFloat32GpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::HardSwish; @@ -1062,7 +1062,7 @@ BOOST_AUTO_TEST_CASE(FuseHardSwishIntoSubFloat32GpuAccTest) FuseActivationIntoPreviousLayerTest<SubtractionTest<DataType::Float32>, DataType::Float32> (activationDescriptor, 0.0001f, Compute::GpuAcc); } -BOOST_AUTO_TEST_CASE(FuseHardSwishIntoDivFloat32GpuAccTest) +TEST_CASE("FuseHardSwishIntoDivFloat32GpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::HardSwish; @@ -1072,7 +1072,7 @@ BOOST_AUTO_TEST_CASE(FuseHardSwishIntoDivFloat32GpuAccTest) } // Test that all receiver layers follow by all activation layers work, either fused or not fused -BOOST_AUTO_TEST_CASE(LayerFollowedByActivationFloat32GpuAccTest) +TEST_CASE("LayerFollowedByActivationFloat32GpuAccTest") { ActivationDescriptor activationDescriptor; for (int i = 0; i != 12; ++i) @@ -1082,26 +1082,26 @@ BOOST_AUTO_TEST_CASE(LayerFollowedByActivationFloat32GpuAccTest) activationDescriptor.m_B = -1.0f; if (activationDescriptor.m_Function != ActivationFunction::Elu) { - BOOST_CHECK_MESSAGE((FuseActivationSimpleTest<Convolution2dTest<DataType::Float32>, DataType::Float32> + CHECK_MESSAGE((FuseActivationSimpleTest<Convolution2dTest<DataType::Float32>, DataType::Float32> (activationDescriptor, Compute::GpuAcc)), "Convolution + Activation function " << i); - BOOST_CHECK_MESSAGE((FuseActivationSimpleTest<DWConvolution2dTest<DataType::Float32>, DataType::Float32> + CHECK_MESSAGE((FuseActivationSimpleTest<DWConvolution2dTest<DataType::Float32>, DataType::Float32> (activationDescriptor, Compute::GpuAcc)), "DepthwiseConvolution + Activation function " << i); - BOOST_CHECK_MESSAGE((FuseActivationSimpleTest<FullyConnectedTest<DataType::Float32>, DataType::Float32> + CHECK_MESSAGE((FuseActivationSimpleTest<FullyConnectedTest<DataType::Float32>, DataType::Float32> (activationDescriptor, Compute::GpuAcc)), "FullyConnected + Activation function " << i); - BOOST_CHECK_MESSAGE((FuseActivationSimpleTest<BatchNormTest<DataType::Float32>, DataType::Float32> + CHECK_MESSAGE((FuseActivationSimpleTest<BatchNormTest<DataType::Float32>, DataType::Float32> (activationDescriptor, Compute::GpuAcc)), "BatchNorm + Activation function " << i); - BOOST_CHECK_MESSAGE((FuseActivationSimpleTest<MultiplicationTest<DataType::Float32>, DataType::Float32> + CHECK_MESSAGE((FuseActivationSimpleTest<MultiplicationTest<DataType::Float32>, DataType::Float32> (activationDescriptor, Compute::GpuAcc)), "Multiplication + Activation function " << i); - BOOST_CHECK_MESSAGE((FuseActivationSimpleTest<AdditionTest<DataType::Float32>, DataType::Float32> + CHECK_MESSAGE((FuseActivationSimpleTest<AdditionTest<DataType::Float32>, DataType::Float32> (activationDescriptor, Compute::GpuAcc)), "Addition + Activation function " << i); - BOOST_CHECK_MESSAGE((FuseActivationSimpleTest<SubtractionTest<DataType::Float32>, DataType::Float32> + CHECK_MESSAGE((FuseActivationSimpleTest<SubtractionTest<DataType::Float32>, DataType::Float32> (activationDescriptor, Compute::GpuAcc)), "Subtraction + Activation function " << i); - BOOST_CHECK_MESSAGE((FuseActivationSimpleTest<DivisionTest<DataType::Float32>, DataType::Float32> + CHECK_MESSAGE((FuseActivationSimpleTest<DivisionTest<DataType::Float32>, DataType::Float32> (activationDescriptor, Compute::GpuAcc)), "Division + Activation function " << i); } } } -BOOST_AUTO_TEST_CASE(LayerFollowedByActivationFloat16GpuAccTest) +TEST_CASE("LayerFollowedByActivationFloat16GpuAccTest") { ActivationDescriptor activationDescriptor; for (int i = 0; i != 12; ++i) @@ -1111,71 +1111,71 @@ BOOST_AUTO_TEST_CASE(LayerFollowedByActivationFloat16GpuAccTest) activationDescriptor.m_B = -1.0f; if (activationDescriptor.m_Function != ActivationFunction::Elu) { - BOOST_CHECK_MESSAGE((FuseActivationSimpleTest<Convolution2dTest<DataType::Float16>, DataType::Float16> + CHECK_MESSAGE((FuseActivationSimpleTest<Convolution2dTest<DataType::Float16>, DataType::Float16> (activationDescriptor, Compute::GpuAcc)), "Convolution + Activation function " << i); - BOOST_CHECK_MESSAGE((FuseActivationSimpleTest<DWConvolution2dTest<DataType::Float16>, DataType::Float16> + CHECK_MESSAGE((FuseActivationSimpleTest<DWConvolution2dTest<DataType::Float16>, DataType::Float16> (activationDescriptor, Compute::GpuAcc)), "Depthwise + Activation function " << i); - BOOST_CHECK_MESSAGE((FuseActivationSimpleTest<FullyConnectedTest<DataType::Float16>, DataType::Float16> + CHECK_MESSAGE((FuseActivationSimpleTest<FullyConnectedTest<DataType::Float16>, DataType::Float16> (activationDescriptor, Compute::GpuAcc)), "FullyConnected + Activation function " << i); - BOOST_CHECK_MESSAGE((FuseActivationSimpleTest<BatchNormTest<DataType::Float16>, DataType::Float16> + CHECK_MESSAGE((FuseActivationSimpleTest<BatchNormTest<DataType::Float16>, DataType::Float16> (activationDescriptor, Compute::GpuAcc)), "BatchNorm + Activation function " << i); - BOOST_CHECK_MESSAGE((FuseActivationSimpleTest<MultiplicationTest<DataType::Float16>, DataType::Float16> + CHECK_MESSAGE((FuseActivationSimpleTest<MultiplicationTest<DataType::Float16>, DataType::Float16> (activationDescriptor, Compute::GpuAcc)), "Multiplication + Activation function " << i); - BOOST_CHECK_MESSAGE((FuseActivationSimpleTest<AdditionTest<DataType::Float16>, DataType::Float16> + CHECK_MESSAGE((FuseActivationSimpleTest<AdditionTest<DataType::Float16>, DataType::Float16> (activationDescriptor, Compute::GpuAcc)), "Addition + Activation function " << i); - BOOST_CHECK_MESSAGE((FuseActivationSimpleTest<SubtractionTest<DataType::Float16>, DataType::Float16> + CHECK_MESSAGE((FuseActivationSimpleTest<SubtractionTest<DataType::Float16>, DataType::Float16> (activationDescriptor, Compute::GpuAcc)), "Subtraction + Activation function " << i); - BOOST_CHECK_MESSAGE((FuseActivationSimpleTest<DivisionTest<DataType::Float16>, DataType::Float16> + CHECK_MESSAGE((FuseActivationSimpleTest<DivisionTest<DataType::Float16>, DataType::Float16> (activationDescriptor, Compute::GpuAcc)), "Division + Activation function " << i); } } } -BOOST_AUTO_TEST_CASE(LayerFollowedByActivationQAsymmU8GpuAccTest) +TEST_CASE("LayerFollowedByActivationQAsymmU8GpuAccTest") { ActivationDescriptor activationDescriptor; activationDescriptor.m_Function = ActivationFunction::Sigmoid; - BOOST_CHECK_MESSAGE((FuseActivationSimpleTest<Convolution2dTest<DataType::QAsymmU8>, DataType::QAsymmU8> + CHECK_MESSAGE((FuseActivationSimpleTest<Convolution2dTest<DataType::QAsymmU8>, DataType::QAsymmU8> (activationDescriptor, Compute::GpuAcc, 1.f / 256.f, 0)), "Convolution + Activation function " << static_cast<int>(activationDescriptor.m_Function)); - BOOST_CHECK_MESSAGE((FuseActivationSimpleTest<FullyConnectedTest<DataType::QAsymmU8>, DataType::QAsymmU8> + CHECK_MESSAGE((FuseActivationSimpleTest<FullyConnectedTest<DataType::QAsymmU8>, DataType::QAsymmU8> (activationDescriptor, Compute::GpuAcc, 1.f / 256.f, 0)), "FullyConnected + Activation function " << static_cast<int>(activationDescriptor.m_Function)); activationDescriptor.m_Function = ActivationFunction::TanH; - BOOST_CHECK_MESSAGE((FuseActivationSimpleTest<Convolution2dTest<DataType::QAsymmU8>, DataType::QAsymmU8> + CHECK_MESSAGE((FuseActivationSimpleTest<Convolution2dTest<DataType::QAsymmU8>, DataType::QAsymmU8> (activationDescriptor, Compute::GpuAcc, 1.f / 128.f, 128)), "Convolution + Activation function " << static_cast<int>(activationDescriptor.m_Function)); - BOOST_CHECK_MESSAGE((FuseActivationSimpleTest<FullyConnectedTest<DataType::QAsymmU8>, DataType::QAsymmU8> + CHECK_MESSAGE((FuseActivationSimpleTest<FullyConnectedTest<DataType::QAsymmU8>, DataType::QAsymmU8> (activationDescriptor, Compute::GpuAcc, 1.f / 128.f, 128)), "FullyConnected + Activation function " << static_cast<int>(activationDescriptor.m_Function)); activationDescriptor.m_Function = ActivationFunction::ReLu; - BOOST_CHECK_MESSAGE((FuseActivationSimpleTest<Convolution2dTest<DataType::QAsymmU8>, DataType::QAsymmU8> + CHECK_MESSAGE((FuseActivationSimpleTest<Convolution2dTest<DataType::QAsymmU8>, DataType::QAsymmU8> (activationDescriptor, Compute::GpuAcc)), "Convolution + Activation function " << static_cast<int>(activationDescriptor.m_Function)); - BOOST_CHECK_MESSAGE((FuseActivationSimpleTest<FullyConnectedTest<DataType::QAsymmU8>, DataType::QAsymmU8> + CHECK_MESSAGE((FuseActivationSimpleTest<FullyConnectedTest<DataType::QAsymmU8>, DataType::QAsymmU8> (activationDescriptor, Compute::GpuAcc)), "FullyConnected + Activation function " << static_cast<int>(activationDescriptor.m_Function)); activationDescriptor.m_Function = ActivationFunction::BoundedReLu; activationDescriptor.m_A = 1.0f; activationDescriptor.m_B = -1.0f; - BOOST_CHECK_MESSAGE((FuseActivationSimpleTest<Convolution2dTest<DataType::QAsymmU8>, DataType::QAsymmU8> + CHECK_MESSAGE((FuseActivationSimpleTest<Convolution2dTest<DataType::QAsymmU8>, DataType::QAsymmU8> (activationDescriptor, Compute::GpuAcc)), "Convolution + Activation function " << static_cast<int>(activationDescriptor.m_Function)); - BOOST_CHECK_MESSAGE((FuseActivationSimpleTest<FullyConnectedTest<DataType::QAsymmU8>, DataType::QAsymmU8> + CHECK_MESSAGE((FuseActivationSimpleTest<FullyConnectedTest<DataType::QAsymmU8>, DataType::QAsymmU8> (activationDescriptor, Compute::GpuAcc)), "FullyConnected + Activation function " << static_cast<int>(activationDescriptor.m_Function)); activationDescriptor.m_Function = ActivationFunction::HardSwish; - BOOST_CHECK_MESSAGE((FuseActivationSimpleTest<Convolution2dTest<DataType::QAsymmU8>, DataType::QAsymmU8> + CHECK_MESSAGE((FuseActivationSimpleTest<Convolution2dTest<DataType::QAsymmU8>, DataType::QAsymmU8> (activationDescriptor, Compute::GpuAcc)), "Convolution + Activation function " << static_cast<int>(activationDescriptor.m_Function)); - BOOST_CHECK_MESSAGE((FuseActivationSimpleTest<FullyConnectedTest<DataType::QAsymmU8>, DataType::QAsymmU8> + CHECK_MESSAGE((FuseActivationSimpleTest<FullyConnectedTest<DataType::QAsymmU8>, DataType::QAsymmU8> (activationDescriptor, Compute::GpuAcc)), "FullyConnected + Activation function " << static_cast<int>(activationDescriptor.m_Function)); } #endif -BOOST_AUTO_TEST_SUITE_END()
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