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| author | Georgios Pinitas <georgios.pinitas@arm.com> | 2021-07-02 09:22:14 +0100 |
|---|---|---|
| committer | Georgios Pinitas <georgios.pinitas@arm.com> | 2021-07-08 19:13:10 +0000 |
| commit | da816752cad76c8e1b367e8e9c648994a1af599a (patch) | |
| tree | d6efc7e559e717c07c719037947b2533a835b583 /tests/validation/CL/ElementwiseMax.cpp | |
| parent | 4411e1f1d49efb78fb07a3c183f386307f951bad (diff) | |
| download | ComputeLibrary-da816752cad76c8e1b367e8e9c648994a1af599a.tar.gz | |
Remove redundant implementations of Add/Sub operators
Allows only implementations where inputs/output are of the same data
type and removes legacy Computer Vision ones.
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: Ia2b3d23a04236aab682f0c36a1110a30f7c06d1c
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5900
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'tests/validation/CL/ElementwiseMax.cpp')
| -rw-r--r-- | tests/validation/CL/ElementwiseMax.cpp | 11 |
1 files changed, 4 insertions, 7 deletions
diff --git a/tests/validation/CL/ElementwiseMax.cpp b/tests/validation/CL/ElementwiseMax.cpp index b9444b2795..225968efd1 100644 --- a/tests/validation/CL/ElementwiseMax.cpp +++ b/tests/validation/CL/ElementwiseMax.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2018-2020 Arm Limited. + * Copyright (c) 2018-2021 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -58,7 +58,7 @@ const auto ElementwiseMaxQASYMM8SignedDataset = combine(combine(framework::datas const auto ElementwiseMaxQSYMM16Dataset = combine(combine(framework::dataset::make("DataType", DataType::QSYMM16), framework::dataset::make("DataType", DataType::QSYMM16)), framework::dataset::make("DataType", DataType::QSYMM16)); -const auto ElementwiseMaxS16Dataset = combine(combine(framework::dataset::make("DataType", { DataType::U8, DataType::S16 }), framework::dataset::make("DataType", DataType::S16)), +const auto ElementwiseMaxS16Dataset = combine(combine(framework::dataset::make("DataType", { DataType::S16 }), framework::dataset::make("DataType", DataType::S16)), framework::dataset::make("DataType", DataType::S16)); const auto ElementwiseMaxFP16Dataset = combine(combine(framework::dataset::make("DataType", DataType::F16), framework::dataset::make("DataType", DataType::F16)), framework::dataset::make("DataType", DataType::F16)); @@ -80,21 +80,18 @@ TEST_SUITE(ElementwiseMax) // clang-format off DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( framework::dataset::make("Input1Info", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), - TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), // Invalid data type combination TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), // Mismatching shapes }), framework::dataset::make("Input2Info",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), - TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), - framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), - TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), + framework::dataset::make("OutputInfo",{TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), })), - framework::dataset::make("Expected", { true, true, false, false})), + framework::dataset::make("Expected", { true, false, false})), input1_info, input2_info, output_info, expected) { ARM_COMPUTE_EXPECT(bool(CLElementwiseMax::validate(&input1_info.clone()->set_is_resizable(false), &input2_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false))) == expected, framework::LogLevel::ERRORS); |