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>

1 files changed, 1 insertions, 47 deletions

diff --git a/tests/validation/CL/NonLinearFilter.cpp b/tests/validation/CL/NonLinearFilter.cpp
index 325849b45e..08b6e21497 100644
--- a/tests/validation/CL/NonLinearFilter.cpp
+++ b/tests/validation/CL/NonLinearFilter.cpp
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2019 Arm Limited.
+ * Copyright (c) 2017-2020 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -41,52 +41,6 @@ namespace validation
 TEST_SUITE(CL)
 TEST_SUITE(NonLinearFilter)
 
-DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallShapes(), datasets::NonLinearFilterFunctions()),
-                                                                                   framework::dataset::make("MaskSize", { 3U, 5U })),
-                                                                           datasets::MatrixPatterns()),
-                                                                   datasets::BorderModes()),
-               shape, function, mask_size, pattern, border_mode)
-{
-    std::mt19937                           generator(library->seed());
-    std::uniform_int_distribution<uint8_t> distribution_u8(0, 255);
-    const uint8_t                          constant_border_value = distribution_u8(generator);
-
-    // Create the mask
-    std::vector<uint8_t> mask(mask_size * mask_size);
-    fill_mask_from_pattern(mask.data(), mask_size, mask_size, pattern);
-    const auto half_mask_size = static_cast<int>(mask_size / 2);
-
-    // Create tensors
-    CLTensor src = create_tensor<CLTensor>(shape, DataType::U8);
-    CLTensor dst = create_tensor<CLTensor>(shape, DataType::U8);
-
-    ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
-    ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
-
-    // Create and configure function
-    CLNonLinearFilter filter;
-    filter.configure(&src, &dst, function, mask_size, pattern, mask.data(), border_mode, constant_border_value);
-
-    // Validate valid region
-    const ValidRegion dst_valid_region = shape_to_valid_region(shape, border_mode == BorderMode::UNDEFINED, BorderSize(half_mask_size));
-    validate(dst.info()->valid_region(), dst_valid_region);
-
-    // Validate padding
-    PaddingCalculator calculator(shape.x(), ((MatrixPattern::OTHER == pattern) ? 1 : 8));
-    calculator.set_border_mode(border_mode);
-    calculator.set_border_size(half_mask_size);
-
-    const PaddingSize write_padding = calculator.required_padding(PaddingCalculator::Option::EXCLUDE_BORDER);
-
-    calculator.set_accessed_elements(16);
-    calculator.set_access_offset(-half_mask_size);
-
-    const PaddingSize read_padding = calculator.required_padding(PaddingCalculator::Option::INCLUDE_BORDER);
-
-    validate(src.info()->padding(), read_padding);
-    validate(dst.info()->padding(), write_padding);
-}
-
 template <typename T>
 using CLNonLinearFilterFixture = NonLinearFilterValidationFixture<CLTensor, CLAccessor, CLNonLinearFilter, T>;