| /* |
| * Copyright (c) 2018-2021 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_CL_WINOGRADCONV2D_H |
| #define ARM_COMPUTE_CL_WINOGRADCONV2D_H |
| |
| #include "arm_compute/runtime/CL/CLTensor.h" |
| #include "src/core/CL/kernels/CLFillBorderKernel.h" |
| #include "src/gpu/cl/ClCompileContext.h" |
| #include "src/gpu/cl/IClOperator.h" |
| #include "src/gpu/cl/operators/ClGemm.h" |
| |
| namespace arm_compute |
| { |
| class CLCompileContext; |
| class ITensorInfo; |
| namespace opencl |
| { |
| namespace kernels |
| { |
| class ClWinogradInputTransformKernel; |
| class ClWinogradFilterTransformKernel; |
| class ClWinogradOutputTransformKernel; |
| } // kernels |
| /** Basic function to execute Winograd-based convolution on OpenCL. This function calls the following OpenCL functions/kernels: |
| * |
| * -# @ref kernels::ClWinogradInputTransformKernel |
| * -# @ref kernels::ClWinogradFilterTransformKernel (only once) |
| * -# @ref ClGemm |
| * -# @ref kernels::ClWinogradOutputTransformKernel |
| * |
| */ |
| class ClWinogradConv2d : public IClOperator |
| { |
| public: |
| /** Default constructor */ |
| ClWinogradConv2d(); |
| /** Default destructor */ |
| ~ClWinogradConv2d(); |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| ClWinogradConv2d(const ClWinogradConv2d &) = delete; |
| /** Default move constructor */ |
| ClWinogradConv2d(ClWinogradConv2d &&) = default; |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| ClWinogradConv2d &operator=(const ClWinogradConv2d &) = delete; |
| /** Default move assignment operator */ |
| ClWinogradConv2d &operator=(ClWinogradConv2d &&) = default; |
| /** 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 | |
| * |
| * @note: This function only works with 3x3,3x1,1x3,5x5,5x1,1x5,7x1 and 1x7 kernels along with unit strides for both NCHW and NHWC data layout |
| * @note Some Winograd configurations (i.e. F(4x4, 5x5)) are supported only with enable_fast_math = true |
| * |
| * @param[in] compile_context The compile context to be used. |
| * @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 src. |
| * @param[in] biases Biases tensor info. Shared biases supported. Biases are 1D tensor with dimensions [OFM].Data type supported: Same as @p src |
| * @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 src. |
| * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo. |
| * @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 ClCompileContext &compile_context, ITensorInfo *src, ITensorInfo *weights, 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 |
| * |
| * Similar to ClWinogradConv2d::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 method overridden |
| void run(ITensorPack &tensors) override; |
| void prepare(ITensorPack &tensors) override; |
| experimental::MemoryRequirements workspace() const override; |
| |
| private: |
| ClGemm _batched_mm; |
| std::unique_ptr<kernels::ClWinogradInputTransformKernel> _input_transform; |
| std::unique_ptr<kernels::ClWinogradFilterTransformKernel> _filter_transform; |
| std::unique_ptr<kernels::ClWinogradOutputTransformKernel> _output_transform; |
| CLFillBorderKernel _border_handler; |
| TensorInfo _input0; |
| TensorInfo _input1; |
| TensorInfo _batched_mm_output; |
| bool _is_prepared; |
| experimental::MemoryRequirements _aux_mem{}; |
| }; |
| } // namespace opencl |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_CL_WINOGRADCONV2D_H */ |