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, 42 deletions

diff --git a/tests/validation/CL/WarpAffine.cpp b/tests/validation/CL/WarpAffine.cpp
index 7779761f1f..2dacb9fe98 100644
--- a/tests/validation/CL/WarpAffine.cpp
+++ b/tests/validation/CL/WarpAffine.cpp
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2018 Arm Limited.
+ * Copyright (c) 2017-2020 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -54,47 +54,6 @@ constexpr AbsoluteTolerance<uint8_t> tolerance(1);
 TEST_SUITE(CL)
 TEST_SUITE(WarpAffine)
 
-DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("DataType", DataType::U8)),
-                                                                           framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })),
-                                                                   datasets::BorderModes()),
-               shape, data_type, policy, border_mode)
-{
-    // Generate a random constant value if border_mode is constant
-    std::mt19937                           gen(library->seed());
-    std::uniform_int_distribution<uint8_t> distribution_u8(0, 255);
-    uint8_t                                constant_border_value = distribution_u8(gen);
-
-    // Create the matrix
-    std::array<float, 9> matrix{ {} };
-    fill_warp_matrix<9>(matrix);
-
-    // Create tensors
-    CLTensor src = create_tensor<CLTensor>(shape, data_type);
-    CLTensor dst = create_tensor<CLTensor>(shape, data_type);
-
-    ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
-    ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
-
-    // Create and configure function
-    CLWarpAffine warp_affine;
-    warp_affine.configure(&src, &dst, matrix, policy, border_mode, constant_border_value);
-
-    // Validate valid region
-    const ValidRegion valid_region = shape_to_valid_region(shape);
-
-    validate(src.info()->valid_region(), valid_region);
-    validate(dst.info()->valid_region(), valid_region);
-
-    // Validate padding
-    int               total_right  = ceil_to_multiple(shape[0], 4);
-    const int         access_right = total_right + (((total_right - shape[0]) == 0) ? 1 : 0);
-    const PaddingSize read_padding(1, access_right - shape[0], 1, 1);
-    validate(src.info()->padding(), read_padding);
-
-    PaddingCalculator calculator(shape.x(), 4);
-    validate(dst.info()->padding(), calculator.required_padding());
-}
-
 template <typename T>
 using CLWarpAffineFixture = WarpAffineValidationFixture<CLTensor, CLAccessor, CLWarpAffine, T>;