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-rw-r--r--tests/validation/fixtures/ChannelExtractFixture.h192
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diff --git a/tests/validation/fixtures/ChannelExtractFixture.h b/tests/validation/fixtures/ChannelExtractFixture.h
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-/*
- * Copyright (c) 2017-2018 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_CHANNEL_EXTRACT_FIXTURE
-#define ARM_COMPUTE_TEST_CHANNEL_EXTRACT_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/ChannelExtract.h"
-
-namespace arm_compute
-{
-namespace test
-{
-namespace validation
-{
-template <typename MultiImageType, typename TensorType, typename AccessorType, typename FunctionType, typename T>
-class ChannelExtractValidationFixture : public framework::Fixture
-{
-public:
- template <typename...>
- void setup(TensorShape shape, Format format, Channel channel)
- {
- shape = adjust_odd_shape(shape, format);
-
- _target = compute_target(shape, format, channel);
- _reference = compute_reference(shape, format, channel);
- }
-
-protected:
- template <typename U>
- void fill(U &&tensor, int i)
- {
- library->fill_tensor_uniform(tensor, i);
- }
-
- std::vector<SimpleTensor<T>> create_tensor_planes_reference(const TensorShape &shape, Format format)
- {
- TensorShape input = adjust_odd_shape(shape, format);
-
- std::vector<SimpleTensor<T>> tensor_planes;
-
- switch(format)
- {
- case Format::RGB888:
- case Format::RGBA8888:
- case Format::YUYV422:
- case Format::UYVY422:
- {
- tensor_planes.emplace_back(input, format);
- break;
- }
- case Format::NV12:
- case Format::NV21:
- {
- const TensorShape shape_uv88 = calculate_subsampled_shape(shape, Format::UV88);
-
- tensor_planes.emplace_back(input, Format::U8);
- tensor_planes.emplace_back(shape_uv88, Format::UV88);
- break;
- }
- case Format::IYUV:
- {
- const TensorShape shape_sub2 = calculate_subsampled_shape(shape, Format::IYUV);
-
- tensor_planes.emplace_back(input, Format::U8);
- tensor_planes.emplace_back(shape_sub2, Format::U8);
- tensor_planes.emplace_back(shape_sub2, Format::U8);
- break;
- }
- case Format::YUV444:
- tensor_planes.emplace_back(input, Format::U8);
- tensor_planes.emplace_back(input, Format::U8);
- tensor_planes.emplace_back(input, Format::U8);
- break;
- default:
- ARM_COMPUTE_ERROR("Not supported");
- break;
- }
-
- return tensor_planes;
- }
-
- TensorType compute_target(const TensorShape &shape, Format format, Channel channel)
- {
- const unsigned int num_planes = num_planes_from_format(format);
-
- TensorShape dst_shape = calculate_subsampled_shape(shape, format, channel);
-
- // Create tensors
- MultiImageType ref_src = create_multi_image<MultiImageType>(shape, format);
- TensorType dst = create_tensor<TensorType>(dst_shape, Format::U8);
-
- // Create and configure function
- FunctionType channel_extract;
-
- if(1U == num_planes)
- {
- const TensorType *plane_src = static_cast<TensorType *>(ref_src.plane(0));
-
- channel_extract.configure(plane_src, channel, &dst);
- }
- else
- {
- channel_extract.configure(&ref_src, channel, &dst);
- }
-
- for(unsigned int plane_idx = 0; plane_idx < num_planes; ++plane_idx)
- {
- const TensorType *src_plane = static_cast<const TensorType *>(ref_src.plane(plane_idx));
-
- ARM_COMPUTE_EXPECT(src_plane->info()->is_resizable(), framework::LogLevel::ERRORS);
- }
-
- ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
-
- // Allocate tensors
- ref_src.allocate();
- dst.allocator()->allocate();
-
- for(unsigned int plane_idx = 0; plane_idx < num_planes; ++plane_idx)
- {
- const TensorType *src_plane = static_cast<const TensorType *>(ref_src.plane(plane_idx));
-
- ARM_COMPUTE_EXPECT(!src_plane->info()->is_resizable(), framework::LogLevel::ERRORS);
- }
-
- ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
-
- // Fill tensor planes
- for(unsigned int plane_idx = 0; plane_idx < num_planes; ++plane_idx)
- {
- TensorType *src_plane = static_cast<TensorType *>(ref_src.plane(plane_idx));
-
- fill(AccessorType(*src_plane), plane_idx);
- }
-
- // Compute function
- channel_extract.run();
-
- return dst;
- }
-
- SimpleTensor<T> compute_reference(const TensorShape &shape, Format format, Channel channel)
- {
- const unsigned int num_planes = num_planes_from_format(format);
-
- // Create reference
- std::vector<SimpleTensor<T>> ref_src = create_tensor_planes_reference(shape, format);
-
- // Fill references
- for(unsigned int plane_idx = 0; plane_idx < num_planes; ++plane_idx)
- {
- fill(ref_src[plane_idx], plane_idx);
- }
-
- return reference::channel_extract<T>(shape, ref_src, format, channel);
- }
-
- TensorType _target{};
- SimpleTensor<T> _reference{};
-};
-} // namespace validation
-} // namespace test
-} // namespace arm_compute
-#endif /* ARM_COMPUTE_TEST_CHANNEL_EXTRACT_FIXTURE */