diff options
author | Georgios Pinitas <georgios.pinitas@arm.com> | 2019-12-16 17:00:49 +0000 |
---|---|---|
committer | Manuel Bottini <manuel.bottini@arm.com> | 2019-12-18 17:13:27 +0000 |
commit | d0bbf0351e560bfd35f248ac6137ce88fff23c30 (patch) | |
tree | 2fc1fee5727caf95cfd3700c34276190b997a3e9 /tests/benchmark/fixtures/DepthwiseConvolutionLayerFixture.h | |
parent | 27f223db96c6f5389b3e11a64d815edbd85dfd4c (diff) | |
download | ComputeLibrary-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>
Diffstat (limited to 'tests/benchmark/fixtures/DepthwiseConvolutionLayerFixture.h')
-rw-r--r-- | tests/benchmark/fixtures/DepthwiseConvolutionLayerFixture.h | 111 |
1 files changed, 0 insertions, 111 deletions
diff --git a/tests/benchmark/fixtures/DepthwiseConvolutionLayerFixture.h b/tests/benchmark/fixtures/DepthwiseConvolutionLayerFixture.h deleted file mode 100644 index 09da816fd4..0000000000 --- a/tests/benchmark/fixtures/DepthwiseConvolutionLayerFixture.h +++ /dev/null @@ -1,111 +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_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 */ |