COMPMID-761: Add CL/NEON Sobel benchmark tests

Change-Id: Iae8244edcc7ec525bc2e8bbec5980b8b9ea935a1
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/132078
Reviewed-by: Pablo Tello <pablo.tello@arm.com>
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>

1 files changed, 158 insertions, 0 deletions

diff --git a/tests/benchmark/fixtures/SobelFixture.h b/tests/benchmark/fixtures/SobelFixture.h
new file mode 100644
index 0000000000..2717e8146b
--- /dev/null
+++ b/tests/benchmark/fixtures/SobelFixture.h
@@ -0,0 +1,158 @@
+/*
+ * Copyright (c) 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_SOBEL_FIXTURE
+#define ARM_COMPUTE_TEST_SOBEL_FIXTURE
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "tests/Globals.h"
+#include "tests/Types.h"
+#include "tests/Utils.h"
+#include "tests/framework/Fixture.h"
+
+namespace arm_compute
+{
+class CLSobel3x3;
+class CLSobel5x5;
+class CLSobel7x7;
+class NESobel3x3;
+class NESobel5x5;
+class NESobel7x7;
+
+namespace test
+{
+namespace benchmark
+{
+namespace
+{
+template <typename Function>
+struct info;
+
+template <>
+struct info<NESobel3x3>
+{
+    static const Format dst_format = Format::S16;
+};
+
+template <>
+struct info<CLSobel3x3>
+{
+    static const Format dst_format = Format::S16;
+};
+
+template <>
+struct info<NESobel5x5>
+{
+    static const Format dst_format = Format::S16;
+};
+
+template <>
+struct info<CLSobel5x5>
+{
+    static const Format dst_format = Format::S16;
+};
+
+template <>
+struct info<NESobel7x7>
+{
+    static const Format dst_format = Format::S32;
+};
+
+template <>
+struct info<CLSobel7x7>
+{
+    static const Format dst_format = Format::S32;
+};
+} // namespace
+
+template <typename TensorType, typename Function, typename Accessor>
+class SobelFixture : public framework::Fixture
+{
+public:
+    template <typename...>
+    void setup(const TensorShape &input_shape, BorderMode border_mode, GradientDimension gradient_dimension, Format input_format)
+    {
+        // 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);
+
+        // Create source tensor
+        src = create_tensor<TensorType>(input_shape, input_format);
+
+        // Create destination tensors and configure function
+        switch(gradient_dimension)
+        {
+            case GradientDimension::GRAD_X:
+                dst_x = create_tensor<TensorType>(input_shape, info<Function>::dst_format);
+                sobel_func.configure(&src, &dst_x, nullptr, border_mode, constant_border_value);
+                break;
+            case GradientDimension::GRAD_Y:
+                dst_y = create_tensor<TensorType>(input_shape, info<Function>::dst_format);
+                sobel_func.configure(&src, nullptr, &dst_y, border_mode, constant_border_value);
+                break;
+            case GradientDimension::GRAD_XY:
+                dst_x = create_tensor<TensorType>(input_shape, info<Function>::dst_format);
+                dst_y = create_tensor<TensorType>(input_shape, info<Function>::dst_format);
+                sobel_func.configure(&src, &dst_x, &dst_y, border_mode, constant_border_value);
+                break;
+            default:
+                ARM_COMPUTE_ERROR("Gradient dimension not supported");
+        }
+
+        // Allocate tensors
+        src.allocator()->allocate();
+        dst_x.allocator()->allocate();
+        dst_y.allocator()->allocate();
+    }
+
+    void run()
+    {
+        sobel_func.run();
+    }
+
+    void sync()
+    {
+        sync_if_necessary<TensorType>();
+        sync_tensor_if_necessary<TensorType>(dst_x);
+        sync_tensor_if_necessary<TensorType>(dst_y);
+    }
+
+    void teardown()
+    {
+        src.allocator()->free();
+        dst_x.allocator()->free();
+        dst_y.allocator()->free();
+    }
+
+private:
+    TensorType src{};
+    TensorType dst_x{};
+    TensorType dst_y{};
+    Function   sobel_func{};
+};
+} // namespace benchmark
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_SOBEL_FIXTURE */