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author | Georgios Pinitas <georgios.pinitas@arm.com> | 2021-08-20 21:39:25 +0100 |
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committer | Georgios Pinitas <georgios.pinitas@arm.com> | 2021-08-25 16:23:15 +0000 |
commit | 7891a73ef36f4ad7b71069b3c57694f85bb79454 (patch) | |
tree | 5b08692989e28ce63de2937d8d92ea5176589dbe /src/runtime/cpu/operators/CpuWinogradConv2d.h | |
parent | a46c9c98c2b1d70acc7c6eee00e2cdc2a1e209a6 (diff) | |
download | ComputeLibrary-7891a73ef36f4ad7b71069b3c57694f85bb79454.tar.gz |
Move CPU/GPU files from Core/Runtime to the respective backend folders
Legacy structure contained two libraries core/runtime with two backends
in each.
We reduce the core/runtime libraries to a single library thus merging
the backend files
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: I69545765fe7a730368105cdbd067d3135ec7a174
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6155
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'src/runtime/cpu/operators/CpuWinogradConv2d.h')
-rw-r--r-- | src/runtime/cpu/operators/CpuWinogradConv2d.h | 136 |
1 files changed, 0 insertions, 136 deletions
diff --git a/src/runtime/cpu/operators/CpuWinogradConv2d.h b/src/runtime/cpu/operators/CpuWinogradConv2d.h deleted file mode 100644 index b5b9c3f2e3..0000000000 --- a/src/runtime/cpu/operators/CpuWinogradConv2d.h +++ /dev/null @@ -1,136 +0,0 @@ -/* - * Copyright (c) 2021 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_CPU_WINOGRAD_CONV2D_KERNEL_H -#define ARM_COMPUTE_CPU_WINOGRAD_CONV2D_KERNEL_H - -#include "arm_compute/core/TensorInfo.h" -#include "arm_compute/runtime/FunctionDescriptors.h" -#include "src/core/common/Macros.h" -#include "src/core/cpu/kernels/CpuWinogradConv2dKernel.h" -#include "src/runtime/cpu/ICpuOperator.h" -#include "src/runtime/cpu/operators/CpuActivation.h" -#include "src/runtime/cpu/operators/CpuGemm.h" -#include "src/runtime/cpu/operators/CpuPermute.h" -#include "src/runtime/cpu/operators/internal/CpuGemmAssemblyDispatch.h" - -namespace arm_compute -{ -namespace cpu -{ -class CpuWinogradConv2d : public ICpuOperator -{ -public: - /** Constructor */ - CpuWinogradConv2d(); - ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(CpuWinogradConv2d); - /** Destructor */ - ~CpuWinogradConv2d(); - - /** Set the input and output tensors. - * - * Valid data layouts: - * - NHWC - * - NCHW - * - * Valid data type configurations: - * |src0 |src1 |src2 |dst | - * |:--------------|:--------------|:------|:--------------| - * |F16 |F16 |F16 |F16 | - * |F32 |F32 |F32 |F32 | - * - * @param[in] src Source tensor info. 3 lower dimensions represent a single input [width, height, IFM], - * while every optional dimension from 4 and above represent a batch of inputs. - * Data types supported: F16/F32. - * @param[in] weights Weights tensor info. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. Data type supported: Same as @p input. - * Currently only 3x3 and 5x5 kernels are supported. - * @param[in] biases Biases tensor info. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as @p weights. - * @param[out] dst Destination tensor info. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs. - * Data types supported: Same as @p input. - * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo. Currently only unit strides are supported. - * @param[in] act_info (Optional) Activation layer information in case of a fused activation. - * @param[in] enable_fast_math (Optional) Enable fast math computation. In case this flag were set, the function could dispatch the fastest implementation - * available which may introduce a drop of accuracy as well. Default is false - */ - void configure(const ITensorInfo *src, const ITensorInfo *weights, const ITensorInfo *biases, ITensorInfo *dst, const PadStrideInfo &conv_info, - const ActivationLayerInfo &act_info = ActivationLayerInfo(), - bool enable_fast_math = false); - /** Static function to check if given info will lead to a valid configuration of @ref CpuWinogradConv2d - * - * Similar to CpuWinogradConv2d::configure() - * - * @return a status - */ - static Status validate(const ITensorInfo *src, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *dst, const PadStrideInfo &conv_info, - const ActivationLayerInfo &act_info = ActivationLayerInfo(), - bool enable_fast_math = false); - - // Inherited methods overridden: - void run(ITensorPack &tensors) override; - void prepare(ITensorPack &constants) override; - experimental::MemoryRequirements workspace() const override; - -private: - enum AuxTensorIdx - { - GemmWorkspace = 0, - Pretranspose = 1, - InterleavedLHS = 2, - TransposedRHS = 3, - TempResult = 4, - TransformedInput = 5, - TransformedOutput = 6, - WorkspaceIO = 7, - TransformedWeights = 8, - PermutedWeights = 9, - PermutedInput = TransformedOutput, - PermutedOutput = TransformedInput, - Count = 10 - }; - - std::unique_ptr<CpuGemm> _gemm_function; - std::unique_ptr<CpuActivation> _activation_func; - std::unique_ptr<CpuPermute> _permute_input; - std::unique_ptr<CpuPermute> _permute_output; - std::unique_ptr<CpuPermute> _permute_weights; - std::unique_ptr<ICPPKernel> _transform_input_kernel; - std::unique_ptr<ICPPKernel> _transform_weights_kernel; - std::unique_ptr<ICPPKernel> _transform_output_kernel; - - DataLayout _data_layout; - experimental::MemoryRequirements _aux_mem{ Count }; - TensorInfo _input_nhwc; - TensorInfo _output_nhwc; - TensorInfo _input_workspace; - TensorInfo _kernel_storage; - TensorInfo _output_workspace; - TensorInfo _input_transformed; - TensorInfo _output_transformed; - TensorInfo _weights_hwio; - bool _run_activation; - bool _is_prepared; -}; -} // namespace cpu -} // namespace arm_compute - -#endif /* ARM_COMPUTE_CPU_WINOGRAD_CONV2D_KERNEL_H */ |