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, 203 deletions

diff --git a/tests/validation/NEON/Convolution.cpp b/tests/validation/NEON/Convolution.cpp
index 96e07dd698..13bc34c995 100644
--- a/tests/validation/NEON/Convolution.cpp
+++ b/tests/validation/NEON/Convolution.cpp
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2019 Arm Limited.
+ * Copyright (c) 2017-2020 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -55,46 +55,6 @@ constexpr AbsoluteTolerance<int16_t> tolerance_s16(1);
 TEST_SUITE(NEON)
 TEST_SUITE(CustomConvolution)
 TEST_SUITE(Square3x3)
-
-DATA_TEST_CASE(Configuration, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("DataType", { DataType::U8, DataType::S16 })),
-                                                                               datasets::BorderModes()),
-                                                                       framework::dataset::make("filter_size", { 3 })),
-               shape, output_data_type, border_mode, filter_size)
-{
-    // Create tensors
-    Tensor src = create_tensor<Tensor>(shape, DataType::U8);
-    Tensor dst = create_tensor<Tensor>(shape, output_data_type);
-
-    // Create conv matrix
-    std::array<int16_t, 9> conv = { 0 };
-
-    ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
-    ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
-
-    // Create and configure function
-    NEConvolution3x3 convolution;
-    convolution.configure(&src, &dst, conv.data(), 0, border_mode);
-
-    // Validate valid region
-    const ValidRegion dst_valid_region = shape_to_valid_region(shape, (border_mode == BorderMode::UNDEFINED), BorderSize(filter_size / 2));
-    validate(dst.info()->valid_region(), dst_valid_region);
-
-    // Validate padding
-    PaddingCalculator calculator(shape.x(), 8);
-    calculator.set_border_size(1);
-    calculator.set_border_mode(border_mode);
-
-    const PaddingSize dst_padding = calculator.required_padding();
-
-    calculator.set_accessed_elements(16);
-    calculator.set_access_offset(-1);
-
-    const PaddingSize src_padding = calculator.required_padding();
-
-    validate(src.info()->padding(), src_padding);
-    validate(dst.info()->padding(), dst_padding);
-}
-
 template <typename T>
 using NEConvolutionFixture = ConvolutionSquareValidationFixture<Tensor, Accessor, NEConvolution3x3, T>;
 
@@ -124,45 +84,6 @@ TEST_SUITE_END() // S16
 TEST_SUITE_END() // Square3x3
 
 TEST_SUITE(Square5x5)
-DATA_TEST_CASE(Configuration, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("DataType", { DataType::U8, DataType::S16 })),
-                                                                               datasets::BorderModes()),
-                                                                       framework::dataset::make("filter_size", { 5 })),
-               shape, output_data_type, border_mode, filter_size)
-{
-    // Create tensors
-    Tensor src = create_tensor<Tensor>(shape, DataType::U8);
-    Tensor dst = create_tensor<Tensor>(shape, output_data_type);
-
-    // Create conv matrix
-    std::array<int16_t, 25> conv = { 0 };
-
-    ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
-    ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
-
-    // Create and configure function
-    NEConvolution5x5 convolution;
-    convolution.configure(&src, &dst, conv.data(), 0, border_mode);
-
-    // Validate valid region
-    const ValidRegion dst_valid_region = shape_to_valid_region(shape, (border_mode == BorderMode::UNDEFINED), BorderSize(filter_size / 2));
-    validate(dst.info()->valid_region(), dst_valid_region);
-
-    // Validate padding
-    PaddingCalculator calculator(shape.x(), 8);
-    calculator.set_border_size(2);
-    calculator.set_border_mode(border_mode);
-
-    const PaddingSize dst_padding = calculator.required_padding();
-
-    calculator.set_accessed_elements(16);
-    calculator.set_access_offset(-2);
-
-    const PaddingSize src_padding = calculator.required_padding();
-
-    validate(src.info()->padding(), src_padding);
-    validate(dst.info()->padding(), dst_padding);
-}
-
 template <typename T>
 using NEConvolutionFixture = ConvolutionSquareValidationFixture<Tensor, Accessor, NEConvolution5x5, T>;
 
@@ -192,45 +113,6 @@ TEST_SUITE_END() // S16
 TEST_SUITE_END() // Square5x5
 
 TEST_SUITE(Square7x7)
-DATA_TEST_CASE(Configuration, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("DataType", { DataType::U8, DataType::S16 })),
-                                                                               datasets::BorderModes()),
-                                                                       framework::dataset::make("filter_size", { 7 })),
-               shape, output_data_type, border_mode, filter_size)
-{
-    // Create tensors
-    Tensor src = create_tensor<Tensor>(shape, DataType::U8);
-    Tensor dst = create_tensor<Tensor>(shape, output_data_type);
-
-    // Create conv matrix
-    std::array<int16_t, 49> conv = { 0 };
-
-    ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
-    ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
-
-    // Create and configure function
-    NEConvolution7x7 convolution;
-    convolution.configure(&src, &dst, conv.data(), 0, border_mode);
-
-    // Validate valid region
-    const ValidRegion dst_valid_region = shape_to_valid_region(shape, (border_mode == BorderMode::UNDEFINED), BorderSize(filter_size / 2));
-    validate(dst.info()->valid_region(), dst_valid_region);
-
-    // Validate padding
-    PaddingCalculator calculator(shape.x(), 8);
-    calculator.set_border_size(3);
-    calculator.set_border_mode(border_mode);
-
-    const PaddingSize dst_padding = calculator.required_padding();
-
-    calculator.set_accessed_elements(16);
-    calculator.set_access_offset(-3);
-
-    const PaddingSize src_padding = calculator.required_padding();
-
-    validate(src.info()->padding(), src_padding);
-    validate(dst.info()->padding(), dst_padding);
-}
-
 template <typename T>
 using NEConvolutionFixture = ConvolutionSquareValidationFixture<Tensor, Accessor, NEConvolution7x7, T>;
 
@@ -260,45 +142,6 @@ TEST_SUITE_END() // S16
 TEST_SUITE_END() // Square7x7
 
 TEST_SUITE(Square9x9)
-DATA_TEST_CASE(Configuration, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("DataType", { DataType::U8, DataType::S16 })),
-                                                                               datasets::BorderModes()),
-                                                                       framework::dataset::make("filter_size", { 9 })),
-               shape, output_data_type, border_mode, filter_size)
-{
-    // Create tensors
-    Tensor src = create_tensor<Tensor>(shape, DataType::U8);
-    Tensor dst = create_tensor<Tensor>(shape, output_data_type);
-
-    // Create conv matrix
-    std::array<int16_t, 81> conv = { 0 };
-
-    ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
-    ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
-
-    // Create and configure function
-    NEConvolution9x9 convolution;
-    convolution.configure(&src, &dst, conv.data(), 0, border_mode);
-
-    // Validate valid region
-    const ValidRegion dst_valid_region = shape_to_valid_region(shape, (border_mode == BorderMode::UNDEFINED), BorderSize(filter_size / 2));
-    validate(dst.info()->valid_region(), dst_valid_region);
-
-    // Validate padding
-    PaddingCalculator calculator(shape.x(), 8);
-    calculator.set_border_size(4);
-    calculator.set_border_mode(border_mode);
-
-    const PaddingSize dst_padding = calculator.required_padding();
-
-    calculator.set_accessed_elements(16);
-    calculator.set_access_offset(-4);
-
-    const PaddingSize src_padding = calculator.required_padding();
-
-    validate(src.info()->padding(), src_padding);
-    validate(dst.info()->padding(), dst_padding);
-}
-
 template <typename T>
 using NEConvolutionFixture = ConvolutionSquareValidationFixture<Tensor, Accessor, NEConvolution9x9, T>;
 
@@ -328,51 +171,6 @@ TEST_SUITE_END() // S16
 TEST_SUITE_END() // Square9x9
 
 TEST_SUITE(Rectangle)
-DATA_TEST_CASE(Configuration, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("DataType",
-{ DataType::U8, DataType::S16 })),
-datasets::BorderModes()),
-framework::dataset::make("filter_width", { 3, 5, 7, 9 })),
-framework::dataset::make("filter_height", { 3, 5, 7, 9 })),
-shape, output_data_type, border_mode, filter_width, filter_height)
-{
-    // Create tensors
-    Tensor src = create_tensor<Tensor>(shape, DataType::U8);
-    Tensor dst = create_tensor<Tensor>(shape, output_data_type);
-
-    // Create conv matrix
-    std::vector<int16_t> conv(filter_height * filter_width);
-
-    ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
-    ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
-
-    // Create and configure function
-    NEConvolutionRectangle convolution;
-    convolution.configure(&src, &dst, conv.data(), filter_width, filter_height, 1, border_mode);
-
-    // Validate valid region
-    const ValidRegion dst_valid_region = shape_to_valid_region(shape, (border_mode == BorderMode::UNDEFINED), BorderSize(filter_height / 2, filter_width / 2));
-    validate(dst.info()->valid_region(), dst_valid_region);
-
-    // Validate padding
-    PaddingCalculator calculator(shape.x(), 8);
-    calculator.set_border_size(filter_width / 2);
-    calculator.set_border_mode(border_mode);
-
-    const PaddingSize dst_padding = calculator.required_padding();
-
-    calculator.set_accessed_elements(16);
-    calculator.set_access_offset(-(filter_width / 2));
-
-    const PaddingSize width_padding = calculator.required_padding();
-
-    calculator.set_border_size(filter_height / 2);
-    calculator.set_access_offset(-(filter_height / 2));
-    const PaddingSize height_padding = calculator.required_padding();
-
-    validate(src.info()->padding(), width_padding, height_padding);
-    validate(dst.info()->padding(), dst_padding);
-}
-
 template <typename T>
 using NEConvolutionFixture = ConvolutionRectangleValidationFixture<Tensor, Accessor, NEConvolutionRectangle, T>;