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, 130 deletions

diff --git a/tests/benchmark/fixtures/DepthConcatenateLayerFixture.h b/tests/benchmark/fixtures/DepthConcatenateLayerFixture.h
deleted file mode 100644
index 272da38952..0000000000
--- a/tests/benchmark/fixtures/DepthConcatenateLayerFixture.h
+++ /dev/null
@@ -1,130 +0,0 @@
-/*
- * Copyright (c) 2017-2019 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_DEPTHCONCATENATELAYERFIXTURE
-#define ARM_COMPUTE_TEST_DEPTHCONCATENATELAYERFIXTURE
-
-#include "arm_compute/core/TensorShape.h"
-#include "arm_compute/core/Types.h"
-#include "arm_compute/core/Utils.h"
-#include "arm_compute/core/utils/misc/ShapeCalculator.h"
-#include "tests/AssetsLibrary.h"
-#include "tests/Globals.h"
-#include "tests/Utils.h"
-#include "tests/framework/Fixture.h"
-
-#include <random>
-
-namespace arm_compute
-{
-namespace test
-{
-namespace benchmark
-{
-/** Fixture that can be used for NE/CL/GC */
-template <typename TensorType, typename ITensorType, typename Function, typename AccessorType>
-class DepthConcatenateLayerFixture : public framework::Fixture
-{
-public:
-    inline std::vector<TensorShape> generate_input_shapes(TensorShape shape)
-    {
-        // Create input shapes
-        std::mt19937                    gen(library->seed());
-        std::uniform_int_distribution<> num_dis(2, 4);
-        const int                       num_tensors = num_dis(gen);
-
-        std::vector<TensorShape>        shapes(num_tensors, shape);
-        std::uniform_int_distribution<> depth_dis(1, 3);
-
-        // Generate more shapes based on the input
-        for(auto &s : shapes)
-        {
-            // Set the depth of the tensor
-            s.set(2, depth_dis(gen));
-        }
-
-        return shapes;
-    }
-
-    template <typename...>
-    void setup(TensorShape shape, DataType data_type)
-    {
-        // Generate input shapes
-        std::vector<TensorShape> src_shapes = generate_input_shapes(shape);
-
-        // Create tensors
-        _srcs.reserve(src_shapes.size());
-
-        std::vector<ITensorType *> src_ptrs;
-
-        for(const auto &shape : src_shapes)
-        {
-            _srcs.emplace_back(create_tensor<TensorType>(shape, data_type, 1));
-            src_ptrs.emplace_back(&_srcs.back());
-        }
-
-        TensorShape dst_shape = misc::shape_calculator::calculate_concatenate_shape(src_ptrs, Window::DimZ);
-        _dst                  = create_tensor<TensorType>(dst_shape, data_type, 1);
-
-        _depth_concat.configure(src_ptrs, &_dst, 2);
-
-        for(auto &src : _srcs)
-        {
-            src.allocator()->allocate();
-        }
-
-        _dst.allocator()->allocate();
-    }
-
-    void run()
-    {
-        _depth_concat.run();
-    }
-
-    void sync()
-    {
-        sync_if_necessary<TensorType>();
-        sync_tensor_if_necessary<TensorType>(_dst);
-    }
-
-    void teardown()
-    {
-        for(auto &src : _srcs)
-        {
-            src.allocator()->free();
-        }
-
-        _srcs.clear();
-
-        _dst.allocator()->free();
-    }
-
-private:
-    std::vector<TensorType> _srcs{};
-    TensorType              _dst{};
-    Function                _depth_concat{};
-};
-} // namespace benchmark
-} // namespace test
-} // namespace arm_compute
-#endif /* ARM_COMPUTE_TEST_DEPTHCONCATENATELAYERFIXTURE */