diff options
Diffstat (limited to 'delegate/src/test/ElementwiseBinaryTest.cpp')
| -rw-r--r-- | delegate/src/test/ElementwiseBinaryTest.cpp | 878 |
1 files changed, 827 insertions, 51 deletions
diff --git a/delegate/src/test/ElementwiseBinaryTest.cpp b/delegate/src/test/ElementwiseBinaryTest.cpp index bd4019a686..2a8c91b2ef 100644 --- a/delegate/src/test/ElementwiseBinaryTest.cpp +++ b/delegate/src/test/ElementwiseBinaryTest.cpp @@ -19,18 +19,11 @@ namespace armnnDelegate { -TEST_SUITE("ElementwiseBinaryTest") -{ - -TEST_CASE ("Add_Float32_GpuAcc_Test") +void AddFP32Test(std::vector<armnn::BackendId>& backends) { - // Create the ArmNN Delegate - std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc, - armnn::Compute::CpuRef }; - // Set input data std::vector<int32_t> input0Shape { 2, 2, 2, 3 }; std::vector<int32_t> input1Shape { 2, 2, 2, 3 }; - std::vector<int32_t> outputShape { 2, 2, 2, 3 }; + std::vector<int32_t> expectedOutputShape { 2, 2, 2, 3 }; std::vector<float> input0Values = { @@ -45,7 +38,6 @@ TEST_CASE ("Add_Float32_GpuAcc_Test") 0.0f, 0.0f, 1.0f, 0.2f, 1.0f, 2.0f, - }; std::vector<float> input1Values = @@ -78,27 +70,23 @@ TEST_CASE ("Add_Float32_GpuAcc_Test") 0.9f, 2.0f, 7.0f, }; - - ElementwiseBinaryFP32Test(tflite::BuiltinOperator_ADD, - tflite::ActivationFunctionType_NONE, - backends, - input0Shape, - input1Shape, - outputShape, - input0Values, - input1Values, - expectedOutputValues); + ElementwiseBinaryTest<float>(tflite::BuiltinOperator_ADD, + tflite::ActivationFunctionType_NONE, + ::tflite::TensorType_FLOAT32, + backends, + input0Shape, + input1Shape, + expectedOutputShape, + input0Values, + input1Values, + expectedOutputValues); } -TEST_CASE ("Add_Broadcast_Float32_GpuAcc_Test") +void AddBroadcastTest(std::vector<armnn::BackendId>& backends) { - // Create the ArmNN Delegate - std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc, - armnn::Compute::CpuRef }; - // Set input data std::vector<int32_t> input0Shape { 1, 3, 2, 1 }; std::vector<int32_t> input1Shape { 1, 1, 2, 3 }; - std::vector<int32_t> outputShape { 1, 3, 2, 3 }; + std::vector<int32_t> expectedOutputShape { 1, 3, 2, 3 }; std::vector<float> input0Values { @@ -128,42 +116,830 @@ TEST_CASE ("Add_Broadcast_Float32_GpuAcc_Test") 4.5f, 5.5f, 6.5f, 8.5f, 9.5f, 10.5f, }; - ElementwiseBinaryFP32Test(tflite::BuiltinOperator_ADD, - tflite::ActivationFunctionType_NONE, - backends, - input0Shape, - input1Shape, - outputShape, - input0Values, - input1Values, - expectedOutputValues); + + ElementwiseBinaryTest<float>(tflite::BuiltinOperator_ADD, + tflite::ActivationFunctionType_NONE, + ::tflite::TensorType_FLOAT32, + backends, + input0Shape, + input1Shape, + expectedOutputShape, + input0Values, + input1Values, + expectedOutputValues); } -TEST_CASE ("Add_ActivationRELU_Float32_GpuAcc_Test") +void AddActivationTest(std::vector<armnn::BackendId>& backends) { - // Create the ArmNN Delegate - std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc, - armnn::Compute::CpuRef }; - // Set input data std::vector<int32_t> input0Shape { 1, 2, 2, 1 }; std::vector<int32_t> input1Shape { 1, 2, 2, 1 }; - std::vector<int32_t> outputShape { 1, 2, 2, 1 }; + std::vector<int32_t> expectedOutputShape { 1, 2, 2, 1 }; std::vector<float> input0Values { 4.0f, 0.8f, 0.7f, -0.8f }; std::vector<float> input1Values { 0.7f, -1.2f, 0.8f, 0.5f }; - // Set output data std::vector<float> expectedOutputValues { 4.7f, 0.0f, 1.5f, 0.0f }; - ElementwiseBinaryFP32Test(tflite::BuiltinOperator_ADD, - tflite::ActivationFunctionType_RELU, - backends, - input0Shape, - input1Shape, - outputShape, - input0Values, - input1Values, - expectedOutputValues); + + ElementwiseBinaryTest<float>(tflite::BuiltinOperator_ADD, + tflite::ActivationFunctionType_RELU, + ::tflite::TensorType_FLOAT32, + backends, + input0Shape, + input1Shape, + expectedOutputShape, + input0Values, + input1Values, + expectedOutputValues); +} + +void AddUint8Test(std::vector<armnn::BackendId>& backends) +{ + std::vector<int32_t> input0Shape { 1, 2, 2, 3 }; + std::vector<int32_t> input1Shape { 1, 2, 2, 3 }; + std::vector<int32_t> expectedOutputShape { 1, 2, 2, 3 }; + + std::vector<uint8_t> input0Values = + { + 63, 35, 77, 70, 56, 112, + 203, 28, 252, 168, 245, 91 + }; + + std::vector<uint8_t> input1Values = + { + 21, 7, 175, 231, 175, 210, + 126, 161, 63, 21, 105, 126 + }; + + std::vector<uint8_t> expectedOutputValues = + { + 81, 39, 249, 255, 228, 255, + 255, 186, 255, 186, 255, 214, + }; + + ElementwiseBinaryTest<uint8_t>(tflite::BuiltinOperator_ADD, + tflite::ActivationFunctionType_NONE, + ::tflite::TensorType_UINT8, + backends, + input0Shape, + input1Shape, + expectedOutputShape, + input0Values, + input1Values, + expectedOutputValues, 7.0f, 3); +} + +void DivFP32Test(std::vector<armnn::BackendId>& backends) +{ + std::vector<int32_t> input0Shape { 2, 2, 2, 2 }; + std::vector<int32_t> input1Shape { 2, 2, 2, 2 }; + std::vector<int32_t> expectedOutputShape { 2, 2, 2, 2 }; + + std::vector<float> input0Values = + { + 2.f, 2.f, 2.f, 2.f, 3.f, 3.f, 3.f, 3.f, + 4.f, 4.f, 4.f, 4.f, 5.f, 5.f, 5.f, 5.f + + }; + + std::vector<float> input1Values = + { + 1.f, 1.f, 1.f, 1.f, 2.f, 2.f, 2.f, 2.f, + 4.f, 4.f, 4.f, 4.f, 4.f, 4.f, 4.f, 4.f + }; + + std::vector<float> expectedOutputValues = + { + 2.f, 2.f, 2.f, 2.f, 1.50f, 1.50f, 1.50f, 1.50f, + 1.f, 1.f, 1.f, 1.f, 1.25f, 1.25f, 1.25f, 1.25f + }; + + ElementwiseBinaryTest<float>(tflite::BuiltinOperator_DIV, + tflite::ActivationFunctionType_NONE, + ::tflite::TensorType_FLOAT32, + backends, + input0Shape, + input1Shape, + expectedOutputShape, + input0Values, + input1Values, + expectedOutputValues); +} + +void DivBroadcastTest(std::vector<armnn::BackendId>& backends) +{ + std::vector<int32_t> input0Shape { 1, 2, 2, 2 }; + std::vector<int32_t> input1Shape { 1, 1, 1, 1 }; + std::vector<int32_t> expectedOutputShape { 1, 2, 2, 2 }; + + std::vector<float> input0Values = { 2, 4, 6, 8, 10, 12, 14, 16 }; + std::vector<float> input1Values = { 2 }; + std::vector<float> expectedOutputValues = { 1, 2, 3, 4, 5, 6, 7, 8 }; + + ElementwiseBinaryTest<float>(tflite::BuiltinOperator_DIV, + tflite::ActivationFunctionType_NONE, + ::tflite::TensorType_FLOAT32, + backends, + input0Shape, + input1Shape, + expectedOutputShape, + input0Values, + input1Values, + expectedOutputValues); } +void DivUint8Test(std::vector<armnn::BackendId>& backends) +{ + std::vector<int32_t> input0Shape { 2, 2, 2, 2 }; + std::vector<int32_t> input1Shape { 2, 2, 2, 2 }; + std::vector<int32_t> expectedOutputShape { 2, 2, 2, 2 }; + + std::vector<uint8_t> input0Values = + { + 2, 2, 2, 2, 3, 3, 3, 3, + 4, 4, 4, 4, 5, 5, 5, 5 + + }; + + std::vector<uint8_t> input1Values = + { + 1, 1, 1, 1, 2, 2, 2, 2, + 4, 4, 4, 4, 4, 4, 4, 4 + }; + + std::vector<uint8_t> expectedOutputValues = + { + 8, 8, 8, 8, 6, 6, 6, 6, + 4, 4, 4, 4, 5, 5, 5, 5 + }; + + ElementwiseBinaryTest<uint8_t>(tflite::BuiltinOperator_DIV, + tflite::ActivationFunctionType_NONE, + ::tflite::TensorType_UINT8, + backends, + input0Shape, + input1Shape, + expectedOutputShape, + input0Values, + input1Values, + expectedOutputValues, 0.25f, 0); } +void MaxFP32Test(std::vector<armnn::BackendId>& backends) +{ + std::vector<int32_t> input0Shape { 2, 2, 2, 2 }; + std::vector<int32_t> input1Shape { 2, 2, 2, 2 }; + std::vector<int32_t> expectedOutputShape { 2, 2, 2, 2 }; + + std::vector<float> input0Values = + { + 1.f, 1.f, 5.f, 1.f, 2.f, 2.f, 7.f, 2.f, + 3.f, 3.f, 3.f, 3.f, 4.f, 4.f, 4.f, 4.f + + }; + + std::vector<float> input1Values = + { + 2.f, 2.f, 2.f, 2.f, 3.f, 3.f, 3.f, 3.f, + 4.f, 4.f, 4.f, 4.f, 5.f, 5.f, 5.f, 5.f + }; + + std::vector<float> expectedOutputValues = + { + 2.f, 2.f, 5.f, 2.f, 3.f, 3.f, 7.f, 3.f, + 4.f, 4.f, 4.f, 4.f, 5.f, 5.f, 5.f, 5.f + }; + + ElementwiseBinaryTest<float>(tflite::BuiltinOperator_MAXIMUM, + tflite::ActivationFunctionType_NONE, + ::tflite::TensorType_FLOAT32, + backends, + input0Shape, + input1Shape, + expectedOutputShape, + input0Values, + input1Values, + expectedOutputValues); +} + +void MaxBroadcastTest(std::vector<armnn::BackendId>& backends) +{ + std::vector<int32_t> input0Shape { 1, 2, 2, 2 }; + std::vector<int32_t> input1Shape { 1, 1, 1, 1 }; + std::vector<int32_t> expectedOutputShape { 1, 2, 2, 2 }; + + std::vector<float> input0Values = { 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f }; + std::vector<float> input1Values = { 4.f }; + std::vector<float> expectedOutputValues = { 4.f, 4.f, 4.f, 4.f, 5.f, 6.f, 7.f, 8.f }; + + ElementwiseBinaryTest<float>(tflite::BuiltinOperator_MAXIMUM, + tflite::ActivationFunctionType_NONE, + ::tflite::TensorType_FLOAT32, + backends, + input0Shape, + input1Shape, + expectedOutputShape, + input0Values, + input1Values, + expectedOutputValues); +} + +void MaxUint8Test(std::vector<armnn::BackendId>& backends) +{ + std::vector<int32_t> input0Shape { 2, 2, 2, 2 }; + std::vector<int32_t> input1Shape { 2, 2, 2, 2 }; + std::vector<int32_t> expectedOutputShape { 2, 2, 2, 2 }; + + std::vector<uint8_t> input0Values = + { + 1, 1, 1, 1, 7, 8, 9, 9, + 3, 3, 3, 3, 4, 4, 4, 4 + + }; + + std::vector<uint8_t> input1Values = + { + 2, 2, 2, 2, 3, 3, 3, 3, + 4, 4, 4, 4, 5, 5, 5, 5 + }; + + std::vector<uint8_t> expectedOutputValues = + { + 2, 2, 2, 2, 7, 8, 9, 9, + 4, 4, 4, 4, 5, 5, 5, 5 + }; + + ElementwiseBinaryTest<uint8_t>(tflite::BuiltinOperator_MAXIMUM, + tflite::ActivationFunctionType_NONE, + ::tflite::TensorType_UINT8, + backends, + input0Shape, + input1Shape, + expectedOutputShape, + input0Values, + input1Values, + expectedOutputValues, 1.0f, 0); +} + +void MinFP32Test(std::vector<armnn::BackendId>& backends) +{ + std::vector<int32_t> input0Shape { 2, 2, 2, 2 }; + std::vector<int32_t> input1Shape { 2, 2, 2, 2 }; + std::vector<int32_t> expectedOutputShape { 2, 2, 2, 2 }; + + std::vector<float> input0Values = + { + 1.f, 1.f, 5.f, 1.f, 2.f, 2.f, 7.f, 2.f, + 3.f, 3.f, 3.f, 3.f, 4.f, 4.f, 4.f, 4.f + + }; + + std::vector<float> input1Values = + { + 2.f, 2.f, 2.f, 2.f, 3.f, 3.f, 3.f, 3.f, + 1.f, 1.f, 1.f, 1.f, 5.f, 5.f, 5.f, 5.f + }; + + std::vector<float> expectedOutputValues = + { + 1.f, 1.f, 2.f, 1.f, 2.f, 2.f, 3.f, 2.f, + 1.f, 1.f, 1.f, 1.f, 4.f, 4.f, 4.f, 4.f + }; + + ElementwiseBinaryTest<float>(tflite::BuiltinOperator_MINIMUM, + tflite::ActivationFunctionType_NONE, + ::tflite::TensorType_FLOAT32, + backends, + input0Shape, + input1Shape, + expectedOutputShape, + input0Values, + input1Values, + expectedOutputValues); +} + +void MinBroadcastTest(std::vector<armnn::BackendId>& backends) +{ + std::vector<int32_t> input0Shape { 1, 2, 2, 2 }; + std::vector<int32_t> input1Shape { 1, 1, 1, 1 }; + std::vector<int32_t> expectedOutputShape { 1, 2, 2, 2 }; + + std::vector<float> input0Values = { 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f }; + + std::vector<float> input1Values = { 4.f }; + + std::vector<float> expectedOutputValues = { 1.f, 2.f, 3.f, 4.f, 4.f, 4.f, 4.f, 4.f }; + + ElementwiseBinaryTest<float>(tflite::BuiltinOperator_MINIMUM, + tflite::ActivationFunctionType_NONE, + ::tflite::TensorType_FLOAT32, + backends, + input0Shape, + input1Shape, + expectedOutputShape, + input0Values, + input1Values, + expectedOutputValues); +} + +void MinUint8Test(std::vector<armnn::BackendId>& backends) +{ + std::vector<int32_t> input0Shape { 2, 2, 2, 2 }; + std::vector<int32_t> input1Shape { 2, 2, 2, 2 }; + std::vector<int32_t> expectedOutputShape { 2, 2, 2, 2 }; + + std::vector<uint8_t> input0Values = + { + 1, 1, 1, 1, 7, 8, 9, 9, + 3, 3, 3, 3, 4, 4, 4, 4 + + }; + + std::vector<uint8_t> input1Values = + { + 2, 2, 2, 2, 3, 3, 3, 3, + 4, 4, 4, 4, 5, 5, 5, 5 + }; + + std::vector<uint8_t> expectedOutputValues = + { + 1, 1, 1, 1, 3, 3, 3, 3, + 3, 3, 3, 3, 4, 4, 4, 4 + }; + + ElementwiseBinaryTest<uint8_t>(tflite::BuiltinOperator_MINIMUM, + tflite::ActivationFunctionType_NONE, + ::tflite::TensorType_UINT8, + backends, + input0Shape, + input1Shape, + expectedOutputShape, + input0Values, + input1Values, + expectedOutputValues, 1.0f, 0); +} + +void MulFP32Test(std::vector<armnn::BackendId>& backends) +{ + std::vector<int32_t> input0Shape { 2, 2, 2, 2 }; + std::vector<int32_t> input1Shape { 2, 2, 2, 2 }; + std::vector<int32_t> expectedOutputShape { 2, 2, 2, 2 }; + + std::vector<float> input0Values = + { + 1.f, 1.f, 1.f, 1.f, 2.f, 2.f, 2.f, 2.f, + 3.f, 3.f, 3.f, 3.f, 4.f, 4.f, 4.f, 4.f + + }; + + std::vector<float> input1Values = + { + 2.f, 2.f, 2.f, 2.f, 3.f, 3.f, 3.f, 3.f, + 4.f, 4.f, 4.f, 4.f, 5.f, 5.f, 5.f, 5.f + }; + + std::vector<float> expectedOutputValues = + { + 2.f, 2.f, 2.f, 2.f, 6.f, 6.f, 6.f, 6.f, + 12.f, 12.f, 12.f, 12.f, 20.f, 20.f, 20.f, 20.f + }; + + ElementwiseBinaryTest<float>(tflite::BuiltinOperator_MUL, + tflite::ActivationFunctionType_NONE, + ::tflite::TensorType_FLOAT32, + backends, + input0Shape, + input1Shape, + expectedOutputShape, + input0Values, + input1Values, + expectedOutputValues); +} + +void MulBroadcastTest(std::vector<armnn::BackendId>& backends) +{ + std::vector<int32_t> input0Shape { 1, 2, 2, 2 }; + std::vector<int32_t> input1Shape { 1, 1, 1, 1 }; + std::vector<int32_t> expectedOutputShape { 1, 2, 2, 2 }; + + std::vector<float> input0Values = { 2, 4, 6, 8, 10, 12, 14, 16 }; + std::vector<float> input1Values = { 2 }; + std::vector<float> expectedOutputValues = { 4, 8, 12, 16, 20, 24, 28, 32 }; + + ElementwiseBinaryTest<float>(tflite::BuiltinOperator_MUL, + tflite::ActivationFunctionType_NONE, + ::tflite::TensorType_FLOAT32, + backends, + input0Shape, + input1Shape, + expectedOutputShape, + input0Values, + input1Values, + expectedOutputValues); +} + +void MulUint8Test(std::vector<armnn::BackendId>& backends) +{ + std::vector<int32_t> input0Shape { 1, 2, 2, 3 }; + std::vector<int32_t> input1Shape { 1, 1, 1, 3 }; + std::vector<int32_t> expectedOutputShape { 1, 2, 2, 3 }; + + std::vector<uint8_t> input0Values = + { + 1, 2, 3, 4, 5, 6, + 7, 8, 9, 10, 11, 12 + + }; + + std::vector<uint8_t> input1Values = { 1, 2, 3 }; + + std::vector<uint8_t> expectedOutputValues = + { + 1, 4, 9, 4, 10, 18, + 7, 16, 27, 10, 22, 36 + }; + + ElementwiseBinaryTest<uint8_t>(tflite::BuiltinOperator_MUL, + tflite::ActivationFunctionType_NONE, + ::tflite::TensorType_UINT8, + backends, + input0Shape, + input1Shape, + expectedOutputShape, + input0Values, + input1Values, + expectedOutputValues, 1.0f, 0); +} + +void MulActivationTest(std::vector<armnn::BackendId>& backends) +{ + std::vector<int32_t> input0Shape { 1, 2, 2, 1 }; + std::vector<int32_t> input1Shape { 1, 2, 2, 1 }; + std::vector<int32_t> expectedOutputShape { 1, 2, 2, 1 }; + + std::vector<float> input0Values { 4.0f, 0.0f, 1.0f, 0.5f }; + std::vector<float> input1Values { -2.0f, -1.2f, 2.5f, 2.0f }; + std::vector<float> expectedOutputValues { 0.0f, 0.0f, 2.5f, 1.0f }; + + ElementwiseBinaryTest<float>(tflite::BuiltinOperator_MUL, + tflite::ActivationFunctionType_RELU, + ::tflite::TensorType_FLOAT32, + backends, + input0Shape, + input1Shape, + expectedOutputShape, + input0Values, + input1Values, + expectedOutputValues); +} + +void SubFP32Test(std::vector<armnn::BackendId>& backends) +{ + std::vector<int32_t> input0Shape { 1, 1, 2, 2 }; + std::vector<int32_t> input1Shape { 1, 1, 2, 2 }; + std::vector<int32_t> expectedOutputShape { 1, 1, 2, 2 }; + + std::vector<float> input0Values = { 1, 3, 3, -7 }; + std::vector<float> input1Values = { 1, -1, 0, -2 }; + std::vector<float> expectedOutputValues = { 0, 4, 3, -5 }; + + ElementwiseBinaryTest<float>(tflite::BuiltinOperator_SUB, + tflite::ActivationFunctionType_NONE, + ::tflite::TensorType_FLOAT32, + backends, + input0Shape, + input1Shape, + expectedOutputShape, + input0Values, + input1Values, + expectedOutputValues); +} + +void SubBroadcastTest(std::vector<armnn::BackendId>& backends) +{ + std::vector<int32_t> input0Shape { 1, 1, 2, 2 }; + std::vector<int32_t> input1Shape { 1, 1, 1, 1 }; + std::vector<int32_t> expectedOutputShape { 1, 1, 2, 2 }; + + std::vector<float> input0Values = { 2, 3, 4, 5}; + std::vector<float> input1Values = { 10 }; + std::vector<float> expectedOutputValues = { -8, -7, -6, -5 }; + + ElementwiseBinaryTest<float>(tflite::BuiltinOperator_SUB, + tflite::ActivationFunctionType_NONE, + ::tflite::TensorType_FLOAT32, + backends, + input0Shape, + input1Shape, + expectedOutputShape, + input0Values, + input1Values, + expectedOutputValues); +} + +void SubUint8Test(std::vector<armnn::BackendId>& backends) +{ + std::vector<int32_t> input0Shape { 1, 1, 2, 2 }; + std::vector<int32_t> input1Shape { 1, 1, 1, 1 }; + std::vector<int32_t> expectedOutputShape { 1, 1, 2, 2 }; + + std::vector<uint8_t> input0Values = { 10, 12, 14, 16 }; + std::vector<uint8_t> input1Values = { 2 }; + std::vector<uint8_t> expectedOutputValues = { 8, 10, 12, 14 }; + + ElementwiseBinaryTest<uint8_t>(tflite::BuiltinOperator_SUB, + tflite::ActivationFunctionType_NONE, + ::tflite::TensorType_UINT8, + backends, + input0Shape, + input1Shape, + expectedOutputShape, + input0Values, + input1Values, + expectedOutputValues, 1.0f, 0); +} + +TEST_SUITE("ElementwiseBinaryTest") +{ + +TEST_CASE ("ADD_FP32_GpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc, + armnn::Compute::CpuRef }; + AddFP32Test(backends); +} + +TEST_CASE ("ADD_FP32_CpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc, + armnn::Compute::CpuRef }; + AddFP32Test(backends); +} + +TEST_CASE ("ADD_Broadcast_GpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc, + armnn::Compute::CpuRef }; + AddBroadcastTest(backends); +} + +TEST_CASE ("ADD_Broadcast_CpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc, + armnn::Compute::CpuRef }; + AddBroadcastTest(backends); +} + +TEST_CASE ("ADD_Activation_GpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc, + armnn::Compute::CpuRef }; + AddActivationTest(backends); +} + +TEST_CASE ("ADD_Actiation_CpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc, + armnn::Compute::CpuRef }; + AddActivationTest(backends); +} + +TEST_CASE ("ADD_UINT8_GpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc, + armnn::Compute::CpuRef }; + AddUint8Test(backends); +} + +TEST_CASE ("ADD_UINT8_CpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc, + armnn::Compute::CpuRef }; + AddUint8Test(backends); +} + +TEST_CASE ("DIV_FP32_GpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc, + armnn::Compute::CpuRef }; + DivFP32Test(backends); +} + +TEST_CASE ("DIV_FP32_CpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc, + armnn::Compute::CpuRef }; + DivFP32Test(backends); +} + +TEST_CASE ("DIV_Broadcast_GpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc, + armnn::Compute::CpuRef }; + DivBroadcastTest(backends); +} + +TEST_CASE ("DIV_Broadcast_CpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc, + armnn::Compute::CpuRef }; + DivBroadcastTest(backends); +} + +TEST_CASE ("DIV_UINT8_GpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc, + armnn::Compute::CpuRef }; + DivUint8Test(backends); +} + +TEST_CASE ("DIV_UINT8_CpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc, + armnn::Compute::CpuRef }; + DivUint8Test(backends); +} + +TEST_CASE ("MAX_FP32_GpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc, + armnn::Compute::CpuRef }; + MaxFP32Test(backends); +} + +TEST_CASE ("MAX_FP32_CpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc, + armnn::Compute::CpuRef }; + MaxFP32Test(backends); +} + +TEST_CASE ("MAX_Broadcast_GpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc, + armnn::Compute::CpuRef }; + MaxBroadcastTest(backends); +} + +TEST_CASE ("MAX_Broadcast_CpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc, + armnn::Compute::CpuRef }; + MaxBroadcastTest(backends); +} + +TEST_CASE ("MAX_UINT8_GpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc, + armnn::Compute::CpuRef }; + MaxUint8Test(backends); +} + +TEST_CASE ("MAX_UINT8_CpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc, + armnn::Compute::CpuRef }; + MaxUint8Test(backends); +} + +TEST_CASE ("MIN_FP32_GpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc, + armnn::Compute::CpuRef }; + MinFP32Test(backends); +} + +TEST_CASE ("MIN_FP32_CpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc, + armnn::Compute::CpuRef }; + MinFP32Test(backends); +} + +TEST_CASE ("MIN_Broadcast_GpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc, + armnn::Compute::CpuRef }; + MinBroadcastTest(backends); +} + +TEST_CASE ("MIN_Broadcast_CpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc, + armnn::Compute::CpuRef }; + MinBroadcastTest(backends); +} + +TEST_CASE ("MIN_UINT8_GpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc, + armnn::Compute::CpuRef }; + MinUint8Test(backends); +} + +TEST_CASE ("MIN_UINT8_CpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc, + armnn::Compute::CpuRef }; + MinUint8Test(backends); +} + +TEST_CASE ("MUL_FP32_GpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc, + armnn::Compute::CpuRef }; + MulFP32Test(backends); +} + +TEST_CASE ("MUL_FP32_CpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc, + armnn::Compute::CpuRef }; + MulFP32Test(backends); +} + +TEST_CASE ("MUL_Broadcast_GpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc, + armnn::Compute::CpuRef }; + MulBroadcastTest(backends); +} + +TEST_CASE ("MUL_Broadcast_CpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc, + armnn::Compute::CpuRef }; + MulBroadcastTest(backends); +} + +TEST_CASE ("MUL_Activation_GpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc, + armnn::Compute::CpuRef }; + MulActivationTest(backends); +} + +TEST_CASE ("MUL_Actiation_CpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc, + armnn::Compute::CpuRef }; + MulActivationTest(backends); +} + +TEST_CASE ("MUL_UINT8_GpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc, + armnn::Compute::CpuRef }; + MulUint8Test(backends); +} + +TEST_CASE ("MUL_UINT8_CpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc, + armnn::Compute::CpuRef }; + MulUint8Test(backends); +} + +TEST_CASE ("SUB_FP32_GpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc, + armnn::Compute::CpuRef }; + SubFP32Test(backends); +} + +TEST_CASE ("SUB_FP32_CpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc, + armnn::Compute::CpuRef }; + SubFP32Test(backends); +} + +TEST_CASE ("SUB_Broadcast_GpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc, + armnn::Compute::CpuRef }; + SubBroadcastTest(backends); +} + +TEST_CASE ("SUB_Broadcast_CpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc, + armnn::Compute::CpuRef }; + SubBroadcastTest(backends); +} + +TEST_CASE ("SUB_UINT8_GpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc, + armnn::Compute::CpuRef }; + SubUint8Test(backends); +} + +TEST_CASE ("SUB_UINT8_CpuAcc_Test") +{ + std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc, + armnn::Compute::CpuRef }; + SubUint8Test(backends); +} + +} // End of TEST_SUITE("ElementwiseBinaryTest") + } // namespace armnnDelegate
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