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| author | Michalis Spyrou <michalis.spyrou@arm.com> | 2020-07-30 23:39:32 +0100 |
|---|---|---|
| committer | Michalis Spyrou <michalis.spyrou@arm.com> | 2020-09-28 08:52:42 +0000 |
| commit | d175ecea20f5c9e3bff07f7c5d3e4bb5519f7cb9 (patch) | |
| tree | 62b0957e4241acc257685dadb79442ed27f5cb96 /tests/validation/NEON/MinMaxLocation.cpp | |
| parent | c6af9db1bb6b7a2093205f6f3088143bad660ff9 (diff) | |
| download | ComputeLibrary-d175ecea20f5c9e3bff07f7c5d3e4bb5519f7cb9.tar.gz | |
COMPMID-3324: Remove configuration tests
Remove configuation tests that use the default data shapes.
There is no need to run them since configure will run as part
of the actual validation run.
Signed-off-by: Michalis Spyrou <michalis.spyrou@arm.com>
Change-Id: If6d88a6ba5e9463fa8c615fcf76a5c07d3049d53
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3638
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'tests/validation/NEON/MinMaxLocation.cpp')
| -rw-r--r-- | tests/validation/NEON/MinMaxLocation.cpp | 45 |
1 files changed, 1 insertions, 44 deletions
diff --git a/tests/validation/NEON/MinMaxLocation.cpp b/tests/validation/NEON/MinMaxLocation.cpp index 973ea930bb..553159bc7c 100644 --- a/tests/validation/NEON/MinMaxLocation.cpp +++ b/tests/validation/NEON/MinMaxLocation.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017-2019 Arm Limited. + * Copyright (c) 2017-2020 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -43,34 +43,7 @@ TEST_SUITE(MinMaxLocation) template <typename T> using NEMinMaxLocationFixture = MinMaxLocationValidationFixture<Tensor, Accessor, Array<Coordinates2D>, ArrayAccessor<Coordinates2D>, NEMinMaxLocation, T>; -void validate_configuration(const Tensor &src, TensorShape shape) -{ - ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); - - // Create output storage - int32_t min{}; - int32_t max{}; - Coordinates2DArray min_loc(shape.total_size()); - Coordinates2DArray max_loc(shape.total_size()); - - // Create and configure function - NEMinMaxLocation min_max_loc; - min_max_loc.configure(&src, &min, &max, &min_loc, &max_loc); - - // Validate padding - const PaddingSize padding = PaddingCalculator(shape.x(), 1).required_padding(); - validate(src.info()->padding(), padding); -} - TEST_SUITE(U8) -DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), framework::dataset::make("DataType", DataType::U8)), shape, data_type) -{ - // Create tensors - Tensor src = create_tensor<Tensor>(shape, data_type); - src.info()->set_format(Format::U8); - - validate_configuration(src, shape); -} FIXTURE_DATA_TEST_CASE(RunSmall, NEMinMaxLocationFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("DataType", DataType::U8))) @@ -87,14 +60,6 @@ FIXTURE_DATA_TEST_CASE(RunLarge, NEMinMaxLocationFixture<uint8_t>, framework::Da TEST_SUITE_END() // U8 TEST_SUITE(S16) -DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), framework::dataset::make("DataType", DataType::S16)), shape, data_type) -{ - // Create tensors - Tensor src = create_tensor<Tensor>(shape, data_type); - src.info()->set_format(Format::S16); - - validate_configuration(src, shape); -} FIXTURE_DATA_TEST_CASE(RunSmall, NEMinMaxLocationFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("DataType", DataType::S16))) @@ -111,14 +76,6 @@ FIXTURE_DATA_TEST_CASE(RunLarge, NEMinMaxLocationFixture<int16_t>, framework::Da TEST_SUITE_END() // S16 TEST_SUITE(Float) -DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Small2DShapes(), framework::dataset::make("DataType", DataType::F32)), shape, data_type) -{ - // Create tensors - Tensor src = create_tensor<Tensor>(shape, data_type); - src.info()->set_format(Format::F32); - - validate_configuration(src, shape); -} FIXTURE_DATA_TEST_CASE(RunSmall, NEMinMaxLocationFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("DataType", DataType::F32))) |