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authorGeorgios Pinitas <georgios.pinitas@arm.com>2019-12-16 17:00:49 +0000
committerManuel Bottini <manuel.bottini@arm.com>2019-12-18 17:13:27 +0000
commitd0bbf0351e560bfd35f248ac6137ce88fff23c30 (patch)
tree2fc1fee5727caf95cfd3700c34276190b997a3e9 /tests/benchmark/fixtures/DepthwiseConvolutionLayerFixture.h
parent27f223db96c6f5389b3e11a64d815edbd85dfd4c (diff)
downloadComputeLibrary-d0bbf0351e560bfd35f248ac6137ce88fff23c30.tar.gz
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>
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diff --git a/tests/benchmark/fixtures/DepthwiseConvolutionLayerFixture.h b/tests/benchmark/fixtures/DepthwiseConvolutionLayerFixture.h
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--- a/tests/benchmark/fixtures/DepthwiseConvolutionLayerFixture.h
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-/*
- * 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_DEPTHWISECONVOLUTIONFIXTURE
-#define ARM_COMPUTE_TEST_DEPTHWISECONVOLUTIONFIXTURE
-
-#include "arm_compute/core/TensorShape.h"
-#include "arm_compute/core/Types.h"
-#include "arm_compute/core/utils/misc/ShapeCalculator.h"
-#include "tests/Globals.h"
-#include "tests/Utils.h"
-#include "tests/framework/Fixture.h"
-
-namespace arm_compute
-{
-namespace test
-{
-namespace benchmark
-{
-using namespace arm_compute::misc::shape_calculator;
-
-/** Fixture that can be used for NEON and CL */
-template <typename TensorType, typename Function, typename Accessor>
-class DepthwiseConvolutionLayerFixture : public framework::Fixture
-{
-public:
- template <typename...>
- void setup(TensorShape src_shape, Size2D kernel_size, PadStrideInfo info, Size2D Dilation, DataType data_type, int batches)
- {
- ARM_COMPUTE_UNUSED(Dilation);
-
- // Get shapes
- TensorShape weights_shape(kernel_size.width, kernel_size.height);
-
- const TensorInfo in_info(src_shape, 1, data_type);
- const TensorInfo we_info(weights_shape, 1, data_type);
- TensorShape dst_shape = compute_depthwise_convolution_shape(in_info, we_info, info, 1);
-
- weights_shape.set(2, dst_shape.z());
-
- // Set batched in source and destination shapes
-
- src_shape.set(3 /* batch */, batches);
- dst_shape.set(3 /* batch */, batches);
-
- // Create tensors
- src = create_tensor<TensorType>(src_shape, data_type, 1, QuantizationInfo(0.5f, 10));
- weights = create_tensor<TensorType>(weights_shape, data_type, 1, QuantizationInfo(0.5f, 10));
- biases = create_tensor<TensorType>(TensorShape(weights_shape[2]), is_data_type_quantized_asymmetric(data_type) ? DataType::S32 : data_type, 1);
- dst = create_tensor<TensorType>(dst_shape, data_type, 1, QuantizationInfo(0.5f, 10));
-
- // Create and configure function
- depth_conv.configure(&src, &weights, &biases, &dst, info);
-
- // Allocate tensors
- src.allocator()->allocate();
- weights.allocator()->allocate();
- biases.allocator()->allocate();
- dst.allocator()->allocate();
- }
-
- void run()
- {
- depth_conv.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 depth_conv{};
-};
-} // namespace benchmark
-} // namespace test
-} // namespace arm_compute
-#endif /* ARM_COMPUTE_TEST_DEPTHWISECONVOLUTIONFIXTURE */