Add CL/NEON Scale benchmark tests
Change-Id: Ie8f4456b96a7d40925bf0c760395a1b2485cb56a
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/114178
Reviewed-by: Pablo Tello <pablo.tello@arm.com>
Tested-by: Jenkins <bsgcomp@arm.com>
diff --git a/tests/benchmark/fixtures/ScaleFixture.h b/tests/benchmark/fixtures/ScaleFixture.h
new file mode 100644
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+++ b/tests/benchmark/fixtures/ScaleFixture.h
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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_SCALE_FIXTURE
+#define ARM_COMPUTE_TEST_SCALE_FIXTURE
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "tests/Globals.h"
+#include "tests/Utils.h"
+#include "tests/framework/Fixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace benchmark
+{
+template <typename TensorType, typename Function, typename Accessor>
+class ScaleFixture : public framework::Fixture
+{
+public:
+ template <typename...>
+ void setup(TensorShape shape, DataType data_type, InterpolationPolicy policy, BorderMode border_mode, SamplingPolicy sampling_policy)
+ {
+ constexpr float max_width = 8192.0f;
+ constexpr float max_height = 6384.0f;
+
+ std::mt19937 generator(library->seed());
+ std::uniform_real_distribution<float> distribution_float(0.25f, 3.0f);
+ float scale_x = distribution_float(generator);
+ float scale_y = distribution_float(generator);
+
+ scale_x = ((shape.x() * scale_x) > max_width) ? (max_width / shape.x()) : scale_x;
+ scale_y = ((shape.y() * scale_y) > max_height) ? (max_height / shape.y()) : scale_y;
+
+ std::uniform_int_distribution<uint8_t> distribution_u8(0, 255);
+ uint8_t constant_border_value = static_cast<uint8_t>(distribution_u8(generator));
+
+ TensorShape shape_scaled(shape);
+ shape_scaled.set(0, shape[0] * scale_x);
+ shape_scaled.set(1, shape[1] * scale_y);
+
+ // Create tensors
+ src = create_tensor<TensorType>(shape, data_type);
+ dst = create_tensor<TensorType>(shape_scaled, data_type);
+
+ // Create and configure function
+ scale_func.configure(&src, &dst, policy, border_mode, constant_border_value, sampling_policy);
+
+ // Allocate tensors
+ src.allocator()->allocate();
+ dst.allocator()->allocate();
+
+ // Fill tensors
+ library->fill_tensor_uniform(Accessor(src), 0);
+ }
+
+ void run()
+ {
+ scale_func.run();
+ }
+
+ void teardown()
+ {
+ src.allocator()->free();
+ dst.allocator()->free();
+ }
+
+private:
+ TensorType src{};
+ TensorType dst{};
+ Function scale_func{};
+};
+} // namespace benchmark
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_SCALE_FIXTURE */