COMPMID-761: Add CL/NEON Convolution benchmark tests

Change-Id: I684baff3bfdff2244e04facd2d85d84609b7caff
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/134769
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Tested-by: Jenkins <bsgcomp@arm.com>

1 files changed, 173 insertions, 0 deletions

diff --git a/tests/benchmark/fixtures/ConvolutionFixture.h b/tests/benchmark/fixtures/ConvolutionFixture.h
new file mode 100644
index 0000000000..3f9c2a4f27
--- /dev/null
+++ b/tests/benchmark/fixtures/ConvolutionFixture.h
@@ -0,0 +1,173 @@
+/*
+ * 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_CONVOLUTIONFIXTURE
+#define ARM_COMPUTE_TEST_CONVOLUTIONFIXTURE
+
+#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
+{
+/** Parent fixture that can be used for NEON and CL */
+template <typename TensorType, typename Function, typename Accessor>
+class ConvolutionFixture : public framework::Fixture
+{
+public:
+    template <typename...>
+    void setup(TensorShape src_shape, DataType output_data_type, BorderMode border_mode, unsigned int width, unsigned int height, bool is_separable = false)
+    {
+        std::mt19937  gen(library->seed());
+        const uint8_t constant_border_value = 0;
+
+        // Generate random scale value between 1 and 255.
+        std::uniform_int_distribution<uint8_t> distribution_scale(1, 255);
+        const uint32_t                         scale = distribution_scale(gen);
+
+        ARM_COMPUTE_ERROR_ON(3 != width && 5 != width && 7 != width && 9 != width);
+        ARM_COMPUTE_ERROR_ON(3 != height && 5 != height && 7 != height && 9 != height);
+
+        std::vector<int16_t> conv(width * height);
+
+        _width  = width;
+        _height = height;
+
+        if(is_separable)
+        {
+            init_separable_conv(conv.data(), width, height, seed);
+        }
+        else
+        {
+            init_conv(conv.data(), width, height, seed);
+        }
+
+        // Create tensors
+        src = create_tensor<TensorType>(src_shape, DataType::U8);
+        dst = create_tensor<TensorType>(src_shape, output_data_type);
+
+        // Configure function
+        configure_target(convolution_func, src, dst, conv.data(), scale, border_mode, constant_border_value);
+
+        // Allocate tensors
+        src.allocator()->allocate();
+        dst.allocator()->allocate();
+
+        // Fill tensors
+        library->fill_tensor_uniform(Accessor(src), 0);
+        library->fill_tensor_uniform(Accessor(dst), 1);
+    }
+
+    void run()
+    {
+        convolution_func.run();
+    }
+
+    void sync()
+    {
+        sync_if_necessary<TensorType>();
+        sync_tensor_if_necessary<TensorType>(dst);
+    }
+
+protected:
+    virtual void configure_target(Function &func, TensorType &src, TensorType &dst, const int16_t *conv, uint32_t scale,
+                                  BorderMode border_mode, uint8_t border_value) = 0;
+
+protected:
+    unsigned int _width{};
+    unsigned int _height{};
+    Function     convolution_func{};
+
+private:
+    const std::random_device::result_type seed = 0;
+    TensorType                            src{};
+    TensorType                            dst{};
+};
+
+/** Child fixture used for square convolutions */
+template <typename TensorType, typename Function, typename Accessor>
+class ConvolutionSquareFixture : public ConvolutionFixture<TensorType, Function, Accessor>
+{
+public:
+    template <typename...>
+    void setup(TensorShape src_shape, DataType output_data_type, BorderMode border_mode, unsigned int width)
+    {
+        ConvolutionFixture<TensorType, Function, Accessor>::setup(src_shape, output_data_type, border_mode, width, width);
+    }
+
+protected:
+    void configure_target(Function &func, TensorType &src, TensorType &dst, const int16_t *conv, uint32_t scale,
+                          BorderMode border_mode, uint8_t constant_border_value)
+    {
+        this->convolution_func.configure(&src, &dst, conv, scale, border_mode, constant_border_value);
+    }
+};
+
+/** Child fixture used for rectangular convolutions */
+template <typename TensorType, typename Function, typename Accessor>
+class ConvolutionRectangleFixture : public ConvolutionFixture<TensorType, Function, Accessor>
+{
+public:
+    template <typename...>
+    void setup(TensorShape src_shape, DataType output_data_type, BorderMode border_mode, unsigned int width, unsigned int height)
+    {
+        ConvolutionFixture<TensorType, Function, Accessor>::setup(src_shape, output_data_type, border_mode, width, height);
+    }
+
+protected:
+    void configure_target(Function &func, TensorType &src, TensorType &dst, const int16_t *conv, uint32_t scale,
+                          BorderMode border_mode, uint8_t constant_border_value)
+    {
+        this->convolution_func.configure(&src, &dst, conv, this->_width, this->_height, scale, border_mode, constant_border_value);
+    }
+};
+
+/** Child fixture used for separable convolutions */
+template <typename TensorType, typename Function, typename Accessor>
+class ConvolutionSeperableFixture : public ConvolutionFixture<TensorType, Function, Accessor>
+{
+public:
+    template <typename...>
+    void setup(TensorShape src_shape, DataType output_data_type, BorderMode border_mode, unsigned int width)
+    {
+        ConvolutionFixture<TensorType, Function, Accessor>::setup(src_shape, output_data_type, border_mode, width, width, true);
+    }
+
+protected:
+    void configure_target(Function &func, TensorType &src, TensorType &dst, const int16_t *conv, uint32_t scale,
+                          BorderMode border_mode, uint8_t constant_border_value)
+    {
+        this->convolution_func.configure(&src, &dst, conv, scale, border_mode, constant_border_value);
+    }
+};
+
+} // namespace benchmark
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_CONVOLUTIONFIXTURE */