COMPMID-1811 (3RDPARTY_UPDATE): Rework benchmarks

Change-Id: I02a4ea0270e1776daf8ac1084f28dd054257be4a
Reviewed-on: https://review.mlplatform.org/309
Reviewed-by: Pablo Marquez <pablo.tello@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>

1 files changed, 0 insertions, 180 deletions

diff --git a/tests/benchmark/fixtures/DragonBenchFixture.h b/tests/benchmark/fixtures/DragonBenchFixture.h
deleted file mode 100644
index bb93a46cf5..0000000000
--- a/tests/benchmark/fixtures/DragonBenchFixture.h
+++ /dev/null
@@ -1,180 +0,0 @@
-/*
- * 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.
- */
-//FIXME / INTERNAL_ONLY: This file should not be released!
-#ifndef ARM_COMPUTE_TEST_DRAGONBENCH_FIXTURE
-#define ARM_COMPUTE_TEST_DRAGONBENCH_FIXTURE
-
-#include "arm_compute/core/Error.h"
-#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
-{
-/** Fixture that can be used for NEON and CL */
-template <typename TensorType, typename Function, typename Accessor, typename Conv2DConfig>
-class DragonBenchConv2DFixture : public framework::Fixture
-{
-public:
-    template <typename...>
-    void setup(Conv2DConfig config, DataType data_type, DataLayout data_layout, bool has_bias)
-    {
-        // Set tensor shapes in NCHW layout
-        TensorShape src_shape(config.dim_in_w, config.dim_in_h, config.ch_in, config.ibatch);
-        TensorShape weights_shape(config.kern_w, config.kern_h, config.ch_in, config.ch_out);
-        TensorShape biases_shape(config.ch_out);
-        TensorShape dst_shape(config.dim_out_w, config.dim_out_h, config.ch_out, config.ibatch);
-
-        // Set convolution layer info
-        PadStrideInfo info(config.stride_w, config.stride_h, 0, 0);
-        if(config.padding)
-        {
-            info = calculate_same_pad(src_shape, weights_shape, info);
-        }
-
-        // Permute shapes in case of NHWC
-        if(data_layout == DataLayout::NHWC)
-        {
-            permute(src_shape, PermutationVector(2U, 0U, 1U));
-            permute(weights_shape, PermutationVector(2U, 0U, 1U));
-            permute(dst_shape, PermutationVector(2U, 0U, 1U));
-        }
-
-        // Determine bias data type
-        DataType               bias_data_type = is_data_type_quantized_asymmetric(data_type) ? DataType::S32 : data_type;
-        const QuantizationInfo q_info(2.f, 10);
-
-        // Create tensors
-        src     = create_tensor<TensorType>(src_shape, data_type, 1, q_info, data_layout);
-        weights = create_tensor<TensorType>(weights_shape, data_type, 1, q_info, data_layout);
-        biases  = create_tensor<TensorType>(biases_shape, bias_data_type, 1, q_info, data_layout);
-        dst     = create_tensor<TensorType>(dst_shape, data_type, 1, q_info, data_layout);
-
-        // Create and configure function
-        conv_layer.configure(&src, &weights, has_bias ? &biases : nullptr, &dst, info);
-
-        // Allocate tensors
-        src.allocator()->allocate();
-        weights.allocator()->allocate();
-        biases.allocator()->allocate();
-        dst.allocator()->allocate();
-    }
-
-    void run()
-    {
-        conv_layer.run();
-    }
-
-    void sync()
-    {
-        sync_if_necessary<TensorType>();
-        sync_tensor_if_necessary<TensorType>(dst);
-    }
-
-    void teardown()
-    {
-        src.allocator()->free();
-        weights.allocator()->free();
-        biases.allocator()->free();
-        dst.allocator()->free();
-    }
-
-private:
-    TensorType src{};
-    TensorType weights{};
-    TensorType biases{};
-    TensorType dst{};
-    Function   conv_layer{};
-};
-
-/** Fixture that can be used for NEON and CL */
-template <typename TensorType, typename Function, typename Accessor, typename FullyConnectedConfig>
-class DragonBenchFCFixture : public framework::Fixture
-{
-public:
-    template <typename...>
-    void setup(FullyConnectedConfig config, DataType data_type, bool has_bias)
-    {
-        // Set tensor shapes in NCHW layout
-        TensorShape src_shape(config.k, config.m);
-        TensorShape weights_shape(config.k, config.n);
-        TensorShape biases_shape(config.n);
-        TensorShape dst_shape(config.n, config.m);
-
-        // Determine bias data type
-        DataType               bias_data_type = is_data_type_quantized_asymmetric(data_type) ? DataType::S32 : data_type;
-        const QuantizationInfo q_info(2.f, 10);
-
-        // Create tensors
-        src     = create_tensor<TensorType>(src_shape, data_type, 1, q_info);
-        weights = create_tensor<TensorType>(weights_shape, data_type, 1, q_info);
-        biases  = create_tensor<TensorType>(biases_shape, bias_data_type, 1, q_info);
-        dst     = create_tensor<TensorType>(dst_shape, data_type, 1, q_info);
-
-        // Create and configure function
-        fc_layer.configure(&src, &weights, has_bias ? &biases : nullptr, &dst);
-
-        // Allocate tensors
-        src.allocator()->allocate();
-        weights.allocator()->allocate();
-        biases.allocator()->allocate();
-        dst.allocator()->allocate();
-    }
-
-    void run()
-    {
-        fc_layer.run();
-    }
-
-    void sync()
-    {
-        sync_if_necessary<TensorType>();
-        sync_tensor_if_necessary<TensorType>(dst);
-    }
-
-    void teardown()
-    {
-        src.allocator()->free();
-        weights.allocator()->free();
-        biases.allocator()->free();
-        dst.allocator()->free();
-    }
-
-private:
-    TensorType src{};
-    TensorType weights{};
-    TensorType biases{};
-    TensorType dst{};
-    Function   fc_layer{};
-};
-} // namespace benchmark
-} // namespace test
-} // namespace arm_compute
-#endif /* ARM_COMPUTE_TEST_DRAGONBENCH_FIXTURE */