diff options
Diffstat (limited to 'src/armnn/backends/test/ArmComputeCl.cpp')
| -rw-r--r-- | src/armnn/backends/test/ArmComputeCl.cpp | 48 |
1 files changed, 29 insertions, 19 deletions
diff --git a/src/armnn/backends/test/ArmComputeCl.cpp b/src/armnn/backends/test/ArmComputeCl.cpp index ae42d03ee3..d0cb7243c3 100644 --- a/src/armnn/backends/test/ArmComputeCl.cpp +++ b/src/armnn/backends/test/ArmComputeCl.cpp @@ -3,7 +3,6 @@ // See LICENSE file in the project root for full license information. // #include <boost/test/unit_test.hpp> - #include "test/TensorHelpers.hpp" #include "LayerTests.hpp" @@ -13,6 +12,7 @@ #include "backends/RefWorkloadFactory.hpp" #include "backends/ClLayerSupport.hpp" #include "ActivationFixture.hpp" +#include "ClContextControlFixture.hpp" #include <arm_compute/core/CL/CLKernelLibrary.h> #include <arm_compute/runtime/CL/CLScheduler.h> @@ -21,7 +21,7 @@ #include "test/UnitTests.hpp" -BOOST_AUTO_TEST_SUITE(Compute_ArmComputeCl) +BOOST_FIXTURE_TEST_SUITE(Compute_ArmComputeCl, ClContextControlFixture) using FactoryType = armnn::ClWorkloadFactory; // ============================================================================ @@ -65,27 +65,24 @@ ARMNN_AUTO_TEST_CASE(UnbiasedDepthwiseConvolution2dDepthMul1Uint8, DepthwiseConv ARMNN_AUTO_TEST_CASE(DepthwiseConvolution2dAsymmetric, DepthwiseConvolution2dAsymmetricTest, true) ARMNN_AUTO_TEST_CASE(UnbiasedDepthwiseConvolution2dAsymmetric, DepthwiseConvolution2dAsymmetricTest, false) -// Splitter -BOOST_AUTO_TEST_CASE(SimpleSplitter) +// Softmax +BOOST_AUTO_TEST_CASE(Softmax4dSupport) { - armnn::ClWorkloadFactory workloadFactory; - auto testResult = SplitterTest(workloadFactory); - for (unsigned int i = 0; i < testResult.size(); ++i) - { - BOOST_TEST(CompareTensors(testResult[i].output, testResult[i].outputExpected)); - } -} + const unsigned int numDimensions = 4u; + std::array<unsigned int, numDimensions> dimensionSizes; + dimensionSizes.fill(1u); -BOOST_AUTO_TEST_CASE(SimpleSplitterUint8) -{ - armnn::ClWorkloadFactory workloadFactory; - auto testResult = SplitterUint8Test(workloadFactory); - for (unsigned int i = 0; i < testResult.size(); ++i) - { - BOOST_TEST(CompareTensors(testResult[i].output, testResult[i].outputExpected)); - } + const armnn::TensorInfo inputInfo(numDimensions, &dimensionSizes.front(), armnn::DataType::Float32); + const armnn::TensorInfo outputInfo(numDimensions, &dimensionSizes.front(), armnn::DataType::Float32); + + // 4D Softmax should be reported as unsupported on the CL backend + BOOST_TEST(!armnn::IsSoftmaxSupportedCl(inputInfo, outputInfo, armnn::SoftmaxDescriptor())); } +// Splitter +ARMNN_AUTO_TEST_CASE(SimpleSplitter, SplitterTest) +ARMNN_AUTO_TEST_CASE(SimpleSplitterUint8, SplitterUint8Test) + ARMNN_AUTO_TEST_CASE(CopyViaSplitter, CopyViaSplitterTest) ARMNN_AUTO_TEST_CASE(CopyViaSplitterUint8, CopyViaSplitterUint8Test) @@ -209,6 +206,19 @@ ARMNN_AUTO_TEST_CASE(PermuteFloat32ValueSet1, PermuteFloat32ValueSet1Test) ARMNN_AUTO_TEST_CASE(PermuteFloat32ValueSet2, PermuteFloat32ValueSet2Test) ARMNN_AUTO_TEST_CASE(PermuteFloat32ValueSet3, PermuteFloat32ValueSet3Test) +// Lstm +ARMNN_AUTO_TEST_CASE(LstmLayerFloat32WithCifgWithPeepholeNoProjection, + LstmLayerFloat32WithCifgWithPeepholeNoProjectionTest) +ARMNN_AUTO_TEST_CASE(LstmLayerFloat32NoCifgNoPeepholeNoProjection, + LstmLayerFloat32NoCifgNoPeepholeNoProjectionTest) +ARMNN_AUTO_TEST_CASE(LstmLayerFloat32NoCifgWithPeepholeWithProjection, + LstmLayerFloat32NoCifgWithPeepholeWithProjectionTest) + +// Convert from Float16 to Float32 +ARMNN_AUTO_TEST_CASE(SimpleConvertFp16ToFp32, SimpleConvertFp16ToFp32Test) +// Convert from Float32 to Float16 +ARMNN_AUTO_TEST_CASE(SimpleConvertFp32ToFp16, SimpleConvertFp32ToFp16Test) + // ============================================================================ // COMPARE tests |