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authorMichalis Spyrou <michalis.spyrou@arm.com>2020-07-30 23:39:32 +0100
committerMichalis Spyrou <michalis.spyrou@arm.com>2020-09-28 08:52:42 +0000
commitd175ecea20f5c9e3bff07f7c5d3e4bb5519f7cb9 (patch)
tree62b0957e4241acc257685dadb79442ed27f5cb96 /tests/validation/CL/MinMaxLocation.cpp
parentc6af9db1bb6b7a2093205f6f3088143bad660ff9 (diff)
downloadComputeLibrary-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/CL/MinMaxLocation.cpp')
-rw-r--r--tests/validation/CL/MinMaxLocation.cpp48
1 files changed, 1 insertions, 47 deletions
diff --git a/tests/validation/CL/MinMaxLocation.cpp b/tests/validation/CL/MinMaxLocation.cpp
index e4a17187c4..0131cd8cf1 100644
--- a/tests/validation/CL/MinMaxLocation.cpp
+++ b/tests/validation/CL/MinMaxLocation.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017-2019 Arm Limited.
+ * Copyright (c) 2017-2020 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -42,35 +42,7 @@ TEST_SUITE(MinMaxLocation)
template <typename T>
using CLMinMaxLocationFixture = MinMaxLocationValidationFixture<CLTensor, CLAccessor, CLArray<Coordinates2D>, CLArrayAccessor<Coordinates2D>, CLMinMaxLocation, T>;
-void validate_configuration(const CLTensor &src, TensorShape shape)
-{
- ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
-
- // Create output storage
- int32_t min = 0;
- int32_t max = 0;
- CLCoordinates2DArray min_loc(shape.total_size());
- CLCoordinates2DArray max_loc(shape.total_size());
-
- // Create and configure function
- CLMinMaxLocation min_max_loc;
- min_max_loc.configure(&src, &min, &max, &min_loc, &max_loc);
-
- // Validate padding
- const PaddingSize padding = PaddingCalculator(shape.x(), 16).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
- CLTensor src = create_tensor<CLTensor>(shape, data_type);
- src.info()->set_format(Format::U8);
-
- validate_configuration(src, shape);
-}
-
FIXTURE_DATA_TEST_CASE(RunSmall, CLMinMaxLocationFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("DataType",
DataType::U8)))
{
@@ -86,15 +58,6 @@ FIXTURE_DATA_TEST_CASE(RunLarge, CLMinMaxLocationFixture<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
- CLTensor src = create_tensor<CLTensor>(shape, data_type);
- src.info()->set_format(Format::S16);
-
- validate_configuration(src, shape);
-}
-
FIXTURE_DATA_TEST_CASE(RunSmall, CLMinMaxLocationFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("DataType",
DataType::S16)))
{
@@ -110,15 +73,6 @@ FIXTURE_DATA_TEST_CASE(RunLarge, CLMinMaxLocationFixture<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
- CLTensor src = create_tensor<CLTensor>(shape, data_type);
- src.info()->set_format(Format::F32);
-
- validate_configuration(src, shape);
-}
-
FIXTURE_DATA_TEST_CASE(RunSmall, CLMinMaxLocationFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("DataType",
DataType::F32)))
{