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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/Convolution.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/Convolution.cpp')
-rw-r--r--tests/validation/CL/Convolution.cpp202
1 files changed, 1 insertions, 201 deletions
diff --git a/tests/validation/CL/Convolution.cpp b/tests/validation/CL/Convolution.cpp
index 8804d34123..1608e7c66d 100644
--- a/tests/validation/CL/Convolution.cpp
+++ b/tests/validation/CL/Convolution.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017-2019 Arm Limited.
+ * Copyright (c) 2017-2020 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -44,45 +44,6 @@ namespace validation
TEST_SUITE(CL)
TEST_SUITE(CustomConvolution)
TEST_SUITE(Square3x3)
-DATA_TEST_CASE(Configuration, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SmallShapes(), 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
- CLTensor src = create_tensor<CLTensor>(shape, DataType::U8);
- CLTensor dst = create_tensor<CLTensor>(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
- CLConvolution3x3 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 CLConvolutionFixture = ConvolutionSquareValidationFixture<CLTensor, CLAccessor, CLConvolution3x3, T>;
@@ -112,45 +73,6 @@ TEST_SUITE_END() // S16
TEST_SUITE_END() // Square 3x3
TEST_SUITE(Square5x5)
-DATA_TEST_CASE(Configuration, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SmallShapes(), 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
- CLTensor src = create_tensor<CLTensor>(shape, DataType::U8);
- CLTensor dst = create_tensor<CLTensor>(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
- CLConvolution5x5 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 CLConvolutionFixture = ConvolutionSquareValidationFixture<CLTensor, CLAccessor, CLConvolution5x5, T>;
@@ -180,45 +102,6 @@ TEST_SUITE_END() // S16
TEST_SUITE_END() // Square5x5
TEST_SUITE(Square7x7)
-DATA_TEST_CASE(Configuration, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SmallShapes(), 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
- CLTensor src = create_tensor<CLTensor>(shape, DataType::U8);
- CLTensor dst = create_tensor<CLTensor>(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
- CLConvolution7x7 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 CLConvolutionFixture = ConvolutionSquareValidationFixture<CLTensor, CLAccessor, CLConvolution7x7, T>;
@@ -248,44 +131,6 @@ TEST_SUITE_END() // S16
TEST_SUITE_END() // Square7x7
TEST_SUITE(Square9x9)
-DATA_TEST_CASE(Configuration, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SmallShapes(), 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
- CLTensor src = create_tensor<CLTensor>(shape, DataType::U8);
- CLTensor dst = create_tensor<CLTensor>(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
- CLConvolution9x9 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 CLConvolutionFixture = ConvolutionSquareValidationFixture<CLTensor, CLAccessor, CLConvolution9x9, T>;
@@ -316,51 +161,6 @@ TEST_SUITE_END() // S16
TEST_SUITE_END() // Square9x9
TEST_SUITE(Rectangle)
-DATA_TEST_CASE(Configuration, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::SmallShapes(), 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
- CLTensor src = create_tensor<CLTensor>(shape, DataType::U8);
- CLTensor dst = create_tensor<CLTensor>(shape, output_data_type);
-
- // Create conv matrix
- std::vector<int16_t> conv(filter_width * filter_height);
-
- ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
-
- // Create and configure function
- CLConvolutionRectangle 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 CLConvolutionFixture = ConvolutionRectangleValidationFixture<CLTensor, CLAccessor, CLConvolutionRectangle, T>;