1 /* 2 * Copyright (c) 2018-2020 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_CLWINOGRADINPUTTRANSFORM_H 25 #define ARM_COMPUTE_CLWINOGRADINPUTTRANSFORM_H 26 27 #include "arm_compute/core/Types.h" 28 #include "arm_compute/runtime/CL/ICLSimpleFunction.h" 29 30 #include <cstdint> 31 32 namespace arm_compute 33 { 34 class CLCompileContext; 35 class ICLTensor; 36 class ITensorInfo; 37 38 /** Basic function to execute a @ref CLWinogradInputTransformKernel. */ 39 class CLWinogradInputTransform : public ICLSimpleFunction 40 { 41 public: 42 /** Set the input and output tensors. 43 * 44 * @note Winograd input transform supports the following configurations for NCWH data layout 45 * F(output tile, kernel size):F(2x2, 3x3), F(2x1, 3x1), F(1x2, 1x3), 46 * F(4x4, 3x3), F(4x1, 3x1), F(1x4, 1x3), 47 * F(4x4, 5x5), F(4x1, 5x1), F(1x4, 1x5) 48 * 49 * @note Winograd input transform supports the following configurations for NHWC data layout 50 * F(output tile, kernel size):F(4x4, 3x3), F(4x1, 3x1), F(1x4, 1x3), 51 * F(4x4, 5x5), F(4x1, 5x1), F(1x4, 1x5) 52 * 53 * Strides: only unit strides 54 * 55 * @param[in] input The input tensor to transform. Data types supported: F16,F32 56 * @param[in] output The output tensor. 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 57 * @param[in] winograd_info Contains Winograd's information described in @ref WinogradInfo. 58 */ 59 void configure(ICLTensor *input, ICLTensor *output, const WinogradInfo &winograd_info); 60 /** Set the input and output tensors. 61 * 62 * @note Winograd input transform supports the following configurations for NCWH data layout 63 * F(output tile, kernel size):F(2x2, 3x3), F(2x1, 3x1), F(1x2, 1x3), 64 * F(4x4, 3x3), F(4x1, 3x1), F(1x4, 1x3), 65 * F(4x4, 5x5), F(4x1, 5x1), F(1x4, 1x5) 66 * 67 * @note Winograd input transform supports the following configurations for NHWC data layout 68 * F(output tile, kernel size):F(4x4, 3x3), F(4x1, 3x1), F(1x4, 1x3), 69 * F(4x4, 5x5), F(4x1, 5x1), F(1x4, 1x5) 70 * 71 * Strides: only unit strides 72 * 73 * @param[in] compile_context The compile context to be used. 74 * @param[in] input The input tensor to transform. Data types supported: F16,F32 75 * @param[in] output The output tensor. 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 76 * @param[in] winograd_info Contains Winograd's information described in @ref WinogradInfo. 77 */ 78 void configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, const WinogradInfo &winograd_info); 79 /** Static function to check if given info will lead to a valid configuration of @ref CLWinogradInputTransform. 80 * 81 * @note Winograd input transform supports the following configurations for NCWH data layout 82 * F(output tile, kernel size):F(2x2, 3x3), F(2x1, 3x1), F(1x2, 1x3), 83 * F(4x4, 3x3), F(4x1, 3x1), F(1x4, 1x3), 84 * F(4x4, 5x5), F(4x1, 5x1), F(1x4, 1x5) 85 * 86 * @note Winograd input transform supports the following configurations for NHWC data layout 87 * F(output tile, kernel size):F(4x4, 3x3), F(4x1, 3x1), F(1x4, 1x3), 88 * F(4x4, 5x5), F(4x1, 5x1), F(1x4, 1x5) 89 * 90 * Strides: only unit strides 91 * 92 * @param[in] input The input tensor to transform. Data types supported: F16,F32 93 * @param[in] output The output tensor. 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 94 * @param[in] winograd_info Contains Winograd's information described in @ref WinogradInfo. 95 * 96 * @return a status 97 */ 98 static Status validate(const ITensorInfo *input, const ITensorInfo *output, const WinogradInfo &winograd_info); 99 }; 100 } 101 #endif /*ARM_COMPUTE_CLWINOGRADINPUTTRANSFORM_H */ 102