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authorJohn Richardson <john.richardson@arm.com>2017-12-14 15:41:13 +0000
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:42:33 +0000
commit384a43e9a37b1616d83181de8a46c9934bfdc82e (patch)
treebd2b1d2a6c0e6b7b72b055462e0b50b0c02ca80e /tests/validation/fixtures/DerivativeFixture.h
parent6387543b0ad0fbfa77d988437b4ad159803de7c3 (diff)
downloadComputeLibrary-384a43e9a37b1616d83181de8a46c9934bfdc82e.tar.gz
COMPMID-579: Port Derivative to new validation
Change-Id: Iecbfa3ebab890c778fb475403466d6fb168e9968 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/113357 Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Tested-by: Jenkins <bsgcomp@arm.com>
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+/*
+ * 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_DERIVATIVE_FIXTURE
+#define ARM_COMPUTE_TEST_DERIVATIVE_FIXTURE
+
+#include "tests/Globals.h"
+#include "tests/IAccessor.h"
+#include "tests/Types.h"
+#include "tests/framework/Asserts.h"
+#include "tests/framework/Fixture.h"
+#include "tests/validation/reference/Derivative.h"
+
+#include <memory>
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T, typename U>
+class DerivativeValidationFixture : public framework::Fixture
+{
+public:
+ template <typename...>
+ void setup(TensorShape shape, BorderMode border_mode, Format format, GradientDimension gradient_dimension)
+ {
+ // Generate a random constant value
+ std::mt19937 gen(library->seed());
+ std::uniform_int_distribution<uint8_t> int_dist(0, 255);
+ const uint8_t constant_border_value = int_dist(gen);
+
+ _border_mode = border_mode;
+ _target = compute_target(shape, border_mode, format, constant_border_value, gradient_dimension);
+ _reference = compute_reference(shape, border_mode, format, constant_border_value, gradient_dimension);
+ }
+
+protected:
+ template <typename V>
+ void fill(V &&tensor)
+ {
+ library->fill_tensor_uniform(tensor, 0);
+ }
+
+ template <typename V>
+ void fill_zero(V &&tensor)
+ {
+ library->fill_tensor_uniform(tensor, 0, static_cast<U>(0), static_cast<U>(0));
+ }
+
+ std::pair<TensorType, TensorType> compute_target(const TensorShape &shape, BorderMode border_mode, Format format, uint8_t constant_border_value, GradientDimension gradient_dimension)
+ {
+ // Create tensors
+ TensorType src = create_tensor<TensorType>(shape, data_type_from_format(format));
+ TensorType dst_x = create_tensor<TensorType>(shape, data_type_from_format(Format::S16));
+ TensorType dst_y = create_tensor<TensorType>(shape, data_type_from_format(Format::S16));
+
+ src.info()->set_format(format);
+ dst_x.info()->set_format(Format::S16);
+ dst_y.info()->set_format(Format::S16);
+
+ FunctionType derivative;
+
+ switch(gradient_dimension)
+ {
+ case GradientDimension::GRAD_X:
+ derivative.configure(&src, &dst_x, nullptr, border_mode, constant_border_value);
+ break;
+ case GradientDimension::GRAD_Y:
+ derivative.configure(&src, nullptr, &dst_y, border_mode, constant_border_value);
+ break;
+ case GradientDimension::GRAD_XY:
+ derivative.configure(&src, &dst_x, &dst_y, border_mode, constant_border_value);
+ break;
+ default:
+ ARM_COMPUTE_ERROR("Gradient dimension not supported");
+ }
+
+ ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_EXPECT(dst_x.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_EXPECT(dst_y.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+ // Allocate tensors
+ src.allocator()->allocate();
+ dst_x.allocator()->allocate();
+ dst_y.allocator()->allocate();
+
+ ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_EXPECT(!dst_x.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_EXPECT(!dst_y.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+ // Fill tensors
+ fill(AccessorType(src));
+ fill_zero(AccessorType(dst_x));
+ fill_zero(AccessorType(dst_y));
+
+ // Compute function
+ derivative.run();
+
+ return std::make_pair(std::move(dst_x), std::move(dst_y));
+ }
+
+ std::pair<SimpleTensor<U>, SimpleTensor<U>> compute_reference(const TensorShape &shape, BorderMode border_mode, Format format, uint8_t constant_border_value, GradientDimension gradient_dimension)
+ {
+ // Create reference
+ SimpleTensor<T> src{ shape, format };
+
+ // Fill reference
+ fill(src);
+
+ return reference::derivative<U>(src, border_mode, constant_border_value, gradient_dimension);
+ }
+
+ BorderMode _border_mode{ BorderMode::UNDEFINED };
+ std::pair<TensorType, TensorType> _target{};
+ std::pair<SimpleTensor<U>, SimpleTensor<U>> _reference{};
+};
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_DERIVATIVE_FIXTURE */