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authorMichalis Spyrou <michalis.spyrou@arm.com>2021-02-23 11:48:12 +0000
committerMichalis Spyrou <michalis.spyrou@arm.com>2021-03-03 15:04:20 +0000
commit473cb01e84cef6cab057e9492bfa3b68f708e5d7 (patch)
treea500b8a8afe6a0442e1a54fb8d52c77d22543bcb /tests/validation/fixtures/NonLinearFilterFixture.h
parentf466d75f85938b96dd14675ec091193bdce12122 (diff)
downloadComputeLibrary-473cb01e84cef6cab057e9492bfa3b68f708e5d7.tar.gz
Remove Compute Vision CL support
Resolves COMPMID-4151 Change-Id: I46f541efe8c4087f27794d2e158b6c1547d459ba Signed-off-by: Michalis Spyrou <michalis.spyrou@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5160 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
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diff --git a/tests/validation/fixtures/NonLinearFilterFixture.h b/tests/validation/fixtures/NonLinearFilterFixture.h
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--- a/tests/validation/fixtures/NonLinearFilterFixture.h
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@@ -1,119 +0,0 @@
-/*
- * Copyright (c) 2017 Arm Limited.
- *
- * SPDX-License-Identifier: MIT
- *
- * Permission is hereby granted, free of charge, to any person obtaining a copy
- * of this software and associated documentation files (the "Software"), to
- * deal in the Software without restriction, including without limitation the
- * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
- * sell copies of the Software, and to permit persons to whom the Software is
- * furnished to do so, subject to the following conditions:
- *
- * The above copyright notice and this permission notice shall be included in all
- * copies or substantial portions of the Software.
- *
- * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
- * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
- * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
- * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
- * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
- * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
- * SOFTWARE.
- */
-#ifndef ARM_COMPUTE_TEST_NONLINEAR_FILTER_FIXTURE
-#define ARM_COMPUTE_TEST_NONLINEAR_FILTER_FIXTURE
-
-#include "arm_compute/core/TensorShape.h"
-#include "arm_compute/core/Types.h"
-#include "tests/AssetsLibrary.h"
-#include "tests/Globals.h"
-#include "tests/IAccessor.h"
-#include "tests/framework/Asserts.h"
-#include "tests/framework/Fixture.h"
-#include "tests/validation/Helpers.h"
-#include "tests/validation/reference/NonLinearFilter.h"
-
-namespace arm_compute
-{
-namespace test
-{
-namespace validation
-{
-template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
-class NonLinearFilterValidationFixture : public framework::Fixture
-{
-public:
- template <typename...>
- void setup(TensorShape shape, NonLinearFilterFunction function, unsigned int mask_size, MatrixPattern pattern, BorderMode border_mode, DataType data_type)
- {
- 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);
-
- _border_size = BorderSize(static_cast<int>(mask_size / 2));
- _target = compute_target(shape, data_type, function, mask_size, pattern, mask.data(), border_mode, constant_border_value);
- _reference = compute_reference(shape, data_type, function, mask_size, pattern, mask.data(), border_mode, constant_border_value);
- }
-
-protected:
- template <typename U>
- void fill(U &&tensor)
- {
- library->fill_tensor_uniform(tensor, 0);
- }
-
- TensorType compute_target(const TensorShape &shape, DataType data_type, NonLinearFilterFunction function, unsigned int mask_size, MatrixPattern pattern, const uint8_t *mask, BorderMode border_mode,
- uint8_t constant_border_value)
- {
- // Create tensors
- TensorType src = create_tensor<TensorType>(shape, data_type);
- TensorType dst = create_tensor<TensorType>(shape, data_type);
-
- // Create and configure function
- FunctionType non_linear_filter;
- non_linear_filter.configure(&src, &dst, function, mask_size, pattern, mask, border_mode, constant_border_value);
-
- ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
-
- // Allocate tensors
- src.allocator()->allocate();
- dst.allocator()->allocate();
- ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
-
- // Fill tensors
- fill(AccessorType(src));
-
- // Compute function
- non_linear_filter.run();
-
- return dst;
- }
-
- SimpleTensor<T> compute_reference(const TensorShape &shape, DataType data_type, NonLinearFilterFunction function, unsigned int mask_size, MatrixPattern pattern, const uint8_t *mask,
- BorderMode border_mode, uint8_t constant_border_value)
- {
- // Create reference
- SimpleTensor<T> src{ shape, data_type };
-
- // Fill reference
- fill(src);
-
- return reference::non_linear_filter<T>(src, function, mask_size, pattern, mask, border_mode, constant_border_value);
- }
-
- BorderMode _border_mode{};
- BorderSize _border_size{};
- TensorType _target{};
- SimpleTensor<T> _reference{};
-};
-} // namespace validation
-} // namespace test
-} // namespace arm_compute
-#endif /* ARM_COMPUTE_TEST_NONLINEAR_FILTER_FIXTURE */