1 /* 2 * Copyright (c) 2018-2022 Arm Limited. 3 * 4 * SPDX-License-Identifier: MIT 5 * 6 * Permission is hereby granted, free of charge, to any person obtaining a copy 7 * of this software and associated documentation files (the "Software"), to 8 * deal in the Software without restriction, including without limitation the 9 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or 10 * sell copies of the Software, and to permit persons to whom the Software is 11 * furnished to do so, subject to the following conditions: 12 * 13 * The above copyright notice and this permission notice shall be included in all 14 * copies or substantial portions of the Software. 15 * 16 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 17 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 18 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 19 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 20 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 21 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 22 * SOFTWARE. 23 */ 24 #ifndef ARM_COMPUTE_CL_WINOGRAD_INPUT_TRANSFORM_KERNEL_H 25 #define ARM_COMPUTE_CL_WINOGRAD_INPUT_TRANSFORM_KERNEL_H 26 27 #include "arm_compute/core/KernelDescriptors.h" 28 #include "src/core/common/Macros.h" 29 #include "src/gpu/cl/ClCompileContext.h" 30 #include "src/gpu/cl/IClKernel.h" 31 32 namespace arm_compute 33 { 34 namespace opencl 35 { 36 namespace kernels 37 { 38 /** OpenCL kernel to perform Winograd input transform.*/ 39 class ClWinogradInputTransformKernel : public IClKernel 40 { 41 public: 42 ClWinogradInputTransformKernel(); 43 ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(ClWinogradInputTransformKernel); 44 /** Set the input and output of the kernel. 45 * 46 * @note Winograd input transform supports the following configurations for NCWH data layout 47 * F(output tile, kernel size):F(2x2, 3x3), F(2x1, 3x1), F(1x2, 1x3), 48 * F(4x4, 3x3), F(4x1, 3x1), F(1x4, 1x3), 49 * F(4x4, 5x5), F(4x1, 5x1), F(1x4, 1x5) 50 * 51 * @note Winograd input transform supports the following configurations for NHWC data layout 52 * F(output tile, kernel size):F(4x4, 3x3), F(4x1, 3x1), F(1x4, 1x3), 53 * F(4x4, 5x5), F(4x1, 5x1), F(1x4, 1x5) 54 * 55 * Strides: only unit strides 56 * 57 * @param[in] compile_context The compile context to be used. 58 * @param[in] src The input tensor info to transform. Data types supported: F16/F32 59 * @param[in] dst The output tensor info. The shape for this tensor can be calculated using the utility function @p compute_winograd_input_transform_shape. Data types supported: Same as @p input 60 * @param[in] winograd_info Contains Winograd's information described in @ref WinogradInfo. 61 */ 62 void configure(const ClCompileContext &compile_context, ITensorInfo *src, ITensorInfo *dst, const WinogradInfo &winograd_info); 63 /** Static function to check if given info will lead to a valid configuration 64 * 65 * Similar to ClWinogradInputTransformKernel::configure() 66 * 67 * @return a status 68 */ 69 static Status validate(const ITensorInfo *src, const ITensorInfo *dst, const WinogradInfo &winograd_info); 70 71 // Inherited methods overridden: 72 void run_op(ITensorPack &tensors, const Window &window, cl::CommandQueue &queue) override; 73 BorderSize border_size() const override; 74 75 private: 76 using WinogradKey = std::pair<std::pair<int, int>, std::pair<int, int>>; 77 78 BorderSize _border_size{ 0 }; 79 DataLayout _data_layout{ DataLayout::UNKNOWN }; 80 int _num_tiles_x{ 0 }; 81 int _num_tiles_y{ 0 }; 82 unsigned int _step_z{ 1 }; 83 int32_t _src_width{ 0 }; 84 int32_t _src_height{ 0 }; 85 }; 86 } // namespace kernels 87 } // namespace opencl 88 } // namespace arm_compute 89 #endif /* ARM_COMPUTE_CL_WINOGRAD_INPUT_TRANSFORM_KERNEL_H */ 90