COMPMID-2932: Clear untracked benchmarks

- Removes untracked benchmarks
- Leaves a couple per backend for public show-case

Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: I5fac2aec8617b03131ec0f3d64ed40fbbd4a63c2
Reviewed-on: https://review.mlplatform.org/c/2492
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Giuseppe Rossini <giuseppe.rossini@arm.com>
Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com>
Comments-Addressed: Michalis Spyrou <michalis.spyrou@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>

1 files changed, 0 insertions, 173 deletions

diff --git a/tests/benchmark/fixtures/ConvolutionFixture.h b/tests/benchmark/fixtures/ConvolutionFixture.h
deleted file mode 100644
index f355168ec1..0000000000
--- a/tests/benchmark/fixtures/ConvolutionFixture.h
+++ /dev/null
@@ -1,173 +0,0 @@
-/*
- * Copyright (c) 2018-2019 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(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(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(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(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(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 */