diff options
Diffstat (limited to 'tests/validation/CL/PoolingLayer.cpp')
| -rw-r--r-- | tests/validation/CL/PoolingLayer.cpp | 32 |
1 files changed, 32 insertions, 0 deletions
diff --git a/tests/validation/CL/PoolingLayer.cpp b/tests/validation/CL/PoolingLayer.cpp index 87b86fedf2..7038f2c34e 100644 --- a/tests/validation/CL/PoolingLayer.cpp +++ b/tests/validation/CL/PoolingLayer.cpp @@ -61,6 +61,38 @@ constexpr AbsoluteTolerance<float> tolerance_qs16(6); /**< Tolerance value f TEST_SUITE(CL) TEST_SUITE(PoolingLayer) +// *INDENT-OFF* +// clang-format off +DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( + framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 4), + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS16, 11), + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), + }), + framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F16, 0), + TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0), + TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::QS8, 5), + TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::QS16, 11), + TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32, 0), + TensorInfo(TensorShape(25U, 16U, 2U), 1, DataType::F32, 0), + })), + framework::dataset::make("PoolInfo", { PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), + PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), + PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), + PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 0, 0)), + PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 2, 0)), + PoolingLayerInfo(PoolingType::AVG, 2, PadStrideInfo(1, 1, 0, 2)), + })), + framework::dataset::make("Expected", { true, false, true, false, true, true})), + input_info, output_info, pool_info, expected) +{ + ARM_COMPUTE_EXPECT(bool(CLPoolingLayer::validate(&input_info, &output_info, pool_info)) == expected, framework::LogLevel::ERRORS); +} +// clang-format on +// *INDENT-ON* + template <typename T> using CLPoolingLayerFixture = PoolingLayerValidationFixture<CLTensor, CLAccessor, CLPoolingLayer, T>; |