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Diffstat (limited to 'src/runtime/gpu/cl/operators/ClWinogradConv2d.h')
| -rw-r--r-- | src/runtime/gpu/cl/operators/ClWinogradConv2d.h | 126 |
1 files changed, 0 insertions, 126 deletions
diff --git a/src/runtime/gpu/cl/operators/ClWinogradConv2d.h b/src/runtime/gpu/cl/operators/ClWinogradConv2d.h deleted file mode 100644 index 83b31f1c99..0000000000 --- a/src/runtime/gpu/cl/operators/ClWinogradConv2d.h +++ /dev/null @@ -1,126 +0,0 @@ -/* - * 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/core/gpu/cl/ClCompileContext.h" -#include "src/runtime/gpu/cl/IClOperator.h" -#include "src/runtime/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 */ |