giuros01 | 164a272 | 2018-11-20 18:34:46 +0000 | [diff] [blame] | 1 | /* |
George Wort | 5a97b28 | 2018-12-21 16:21:04 +0000 | [diff] [blame] | 2 | * Copyright (c) 2018-2019 ARM Limited. |
giuros01 | 164a272 | 2018-11-20 18:34:46 +0000 | [diff] [blame] | 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 |
George Wort | 5a97b28 | 2018-12-21 16:21:04 +0000 | [diff] [blame] | 20 | * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
giuros01 | 164a272 | 2018-11-20 18:34:46 +0000 | [diff] [blame] | 21 | * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| 22 | * SOFTWARE. |
| 23 | */ |
| 24 | #ifndef __ARM_COMPUTE_CLELEMENTWISEOPERATIONS_H__ |
| 25 | #define __ARM_COMPUTE_CLELEMENTWISEOPERATIONS_H__ |
| 26 | |
| 27 | #include "arm_compute/core/Types.h" |
| 28 | #include "arm_compute/runtime/CL/ICLSimpleFunction.h" |
| 29 | |
| 30 | namespace arm_compute |
| 31 | { |
| 32 | class ICLTensor; |
| 33 | |
| 34 | /** Basic function to run @ref CLSaturatedArithmeticOperationKernel for addition |
| 35 | * |
| 36 | * @note The tensor data type for the inputs must be U8/QASYMM8/S16/S32/U32/F16/F32. |
| 37 | * @note The function performs an arithmetic addition between two tensors. |
| 38 | */ |
| 39 | class CLArithmeticAddition : public ICLSimpleFunction |
| 40 | { |
| 41 | public: |
| 42 | /** Initialise the kernel's inputs, output and conversion policy. |
| 43 | * |
| 44 | * @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/S16/S32/U32/F16/F32. |
| 45 | * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. |
| 46 | * @param[in, out] input2 Second tensor input. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), S16/F16/F32. |
| 47 | * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. |
| 48 | * @param[out] output Output tensor. Data types supported: U8 (Only if both inputs are U8), QASYMM8 (only if both inputs are QASYMM8), S16/F16/F32. |
| 49 | * @param[in] policy Policy to use to handle overflow. |
| 50 | */ |
| 51 | void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output, ConvertPolicy policy); |
| 52 | /** Static function to check if given info will lead to a valid configuration of @ref CLSaturatedArithmeticOperationKernel for addition |
| 53 | * |
| 54 | * @param[in] input1 First tensor input info. Data types supported: U8/QASYMM8/S16/S32/U32/F16/F32. |
| 55 | * @param[in] input2 Second tensor input info. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), S16/F16/F32. |
| 56 | * @param[in] output Output tensor info. Data types supported: U8 (Only if both inputs are U8), QASYMM8 ( only if both inputs are QASYMM8), S16/F16/F32. |
| 57 | * @param[in] policy Policy to use to handle overflow. |
| 58 | * |
| 59 | * @return a status |
| 60 | */ |
| 61 | static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy); |
| 62 | }; |
| 63 | |
| 64 | /** Basic function to run @ref CLSaturatedArithmeticOperationKernel for subtraction |
| 65 | * |
| 66 | * @note The tensor data type for the inputs must be U8/QASYMM8/S16/S32/U32/F16/F32. |
| 67 | * @note The function performs an arithmetic subtraction between two tensors. |
| 68 | */ |
| 69 | class CLArithmeticSubtraction : public ICLSimpleFunction |
| 70 | { |
| 71 | public: |
| 72 | /** Initialise the kernel's inputs, output and conversion policy. |
| 73 | * |
| 74 | * @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/S16/S32/U32/F16/F32. |
| 75 | * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. |
| 76 | * @param[in, out] input2 Second tensor input. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), S16/F16/F32. |
| 77 | * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. |
| 78 | * @param[out] output Output tensor. Data types supported: U8 (Only if both inputs are U8), QASYMM8 (only if both inputs are QASYMM8), S16/F16/F32. |
| 79 | * @param[in] policy Policy to use to handle overflow. |
| 80 | */ |
| 81 | void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output, ConvertPolicy policy); |
| 82 | /** Static function to check if given info will lead to a valid configuration of @ref CLSaturatedArithmeticOperationKernel for subtraction |
| 83 | * |
| 84 | * @param[in] input1 First tensor input info. Data types supported: U8/QASYMM8/S16/S32/U32/F16/F32. |
| 85 | * @param[in] input2 Second tensor input info. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), S16/F16/F32. |
| 86 | * @param[in] output Output tensor info. Data types supported: U8 (Only if both inputs are U8), QASYMM8 ( only if both inputs are QASYMM8), S16/F16/F32. |
| 87 | * @param[in] policy Policy to use to handle overflow. |
| 88 | * |
| 89 | * @return a status |
| 90 | */ |
| 91 | static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy); |
| 92 | }; |
| 93 | |
| 94 | /** Basic function to run @ref CLSaturatedArithmeticOperationKernel for division |
| 95 | * |
| 96 | * @note The tensor data type for the inputs must be F16/F32. |
| 97 | * @note The function performs an arithmetic division between two tensors. |
| 98 | */ |
| 99 | class CLArithmeticDivision : public ICLSimpleFunction |
| 100 | { |
| 101 | public: |
| 102 | /** Initialise the kernel's inputs, output. |
| 103 | * |
| 104 | * @param[in, out] input1 First tensor input. Data types supported: F16/F32. |
| 105 | * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. |
| 106 | * @param[in, out] input2 Second tensor input. Same as @p input1. |
| 107 | * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. |
| 108 | * @param[out] output Output tensor. Data types supported: Same as @p input1. |
| 109 | */ |
| 110 | void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output); |
| 111 | /** Static function to check if given info will lead to a valid configuration of @ref CLArithmeticDivision |
| 112 | * |
| 113 | * @param[in] input1 First tensor input info. Data types supported: F16/F32. |
| 114 | * @param[in] input2 Second tensor input info. Data types supported: Same as @p input1. |
| 115 | * @param[in] output Output tensor info. Data types supported: Same as @p input1. |
| 116 | * |
| 117 | * @return a status |
| 118 | */ |
| 119 | static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output); |
| 120 | }; |
| 121 | |
| 122 | /** Basic function to run @ref CLArithmeticOperationKernel for max |
| 123 | * |
| 124 | * @note The tensor data type for the inputs must be U8/QASYMM8/S16/S32/U32/F16/F32. |
| 125 | * @note The function performs a max operation between two tensors. |
| 126 | */ |
| 127 | class CLElementwiseMax : public ICLSimpleFunction |
| 128 | { |
| 129 | public: |
| 130 | /** Initialise the kernel's inputs, output and conversion policy. |
| 131 | * |
| 132 | * @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/S16/S32/U32/F16/F32. |
| 133 | * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. |
| 134 | * @param[in, out] input2 Second tensor input. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), S16/F16/F32. |
| 135 | * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. |
| 136 | * @param[out] output Output tensor. Data types supported: U8 (Only if both inputs are U8), QASYMM8 (only if both inputs are QASYMM8), S16/F16/F32. |
| 137 | */ |
| 138 | void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output); |
| 139 | /** Static function to check if given info will lead to a valid configuration of @ref CLArithmeticOperationKernel for max |
| 140 | * |
| 141 | * @param[in] input1 First tensor input info. Data types supported: U8/QASYMM8/S16/S32/U32/F16/F32. |
| 142 | * @param[in] input2 Second tensor input info. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), S16/F16/F32. |
| 143 | * @param[in] output Output tensor info. Data types supported: U8 (Only if both inputs are U8), QASYMM8 ( only if both inputs are QASYMM8), S16/F16/F32. |
| 144 | * |
| 145 | * @return a status |
| 146 | */ |
| 147 | static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output); |
| 148 | }; |
| 149 | |
| 150 | /** Basic function to run @ref CLArithmeticOperationKernel for min |
| 151 | * |
| 152 | * @note The tensor data type for the inputs must be U8/QASYMM8/S16/S32/U32/F16/F32. |
| 153 | * @note The function performs a max operation between two tensors. |
| 154 | */ |
| 155 | class CLElementwiseMin : public ICLSimpleFunction |
| 156 | { |
| 157 | public: |
| 158 | /** Initialise the kernel's inputs, output and conversion policy. |
| 159 | * |
| 160 | * @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/S16/S32/U32/F16/F32. |
| 161 | * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. |
| 162 | * @param[in, out] input2 Second tensor input. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), S16/F16/F32. |
| 163 | * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. |
| 164 | * @param[out] output Output tensor. Data types supported: U8 (Only if both inputs are U8), QASYMM8 (only if both inputs are QASYMM8), S16/F16/F32. |
| 165 | */ |
| 166 | void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output); |
| 167 | /** Static function to check if given info will lead to a valid configuration of @ref CLArithmeticOperationKernel for min |
| 168 | * |
| 169 | * @param[in] input1 First tensor input info. Data types supported: U8/QASYMM8/S16/S32/U32/F16/F32. |
| 170 | * @param[in] input2 Second tensor input info. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), S16/F16/F32. |
| 171 | * @param[in] output Output tensor info. Data types supported: U8 (Only if both inputs are U8), QASYMM8 ( only if both inputs are QASYMM8), S16/F16/F32. |
| 172 | * |
| 173 | * @return a status |
| 174 | */ |
| 175 | static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output); |
| 176 | }; |
| 177 | |
| 178 | /** Basic function to run @ref CLArithmeticOperationKernel for squared difference |
| 179 | * |
| 180 | * @note The tensor data type for the inputs must be QASYMM8/U8/S16/F16/F32. |
| 181 | * @note The function performs a squared different operation between two tensors (i.e., out[i] = (in1[i] - in2[i])^2 |
| 182 | */ |
| 183 | class CLElementwiseSquaredDiff : public ICLSimpleFunction |
| 184 | { |
| 185 | public: |
| 186 | /** Initialise the kernel's inputs, output and conversion policy. |
| 187 | * |
| 188 | * @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/S16/F16/F32. |
| 189 | * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. |
| 190 | * @param[in, out] input2 Second tensor input. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), S16/F16/F32. |
| 191 | * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. |
| 192 | * @param[out] output Output tensor. Data types supported: U8 (Only if both inputs are U8), QASYMM8 (only if both inputs are QASYMM8), S16/F16/F32. |
| 193 | */ |
| 194 | void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output); |
| 195 | /** Static function to check if given info will lead to a valid configuration of @ref CLArithmeticOperationKernel for squared difference |
| 196 | * |
| 197 | * @param[in] input1 First tensor input info. Data types supported: U8/QASYMM8/S16/F16/F32. |
| 198 | * @param[in] input2 Second tensor input info. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), S16/F16/F32. |
| 199 | * @param[in] output Output tensor info. Data types supported: U8 (Only if both inputs are U8), QASYMM8 ( only if both inputs are QASYMM8), S16/F16/F32. |
| 200 | * |
| 201 | * @return a status |
| 202 | */ |
| 203 | static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output); |
| 204 | }; |
Usama Arif | 52c54f6 | 2019-05-14 10:22:36 +0100 | [diff] [blame] | 205 | |
| 206 | /** Basic function to run @ref CLArithmeticOperationKernel for power |
| 207 | * |
| 208 | * @note The tensor data type for the inputs must be F16/F32. |
| 209 | * @note The function performs an elementwise power of in1 to in2 (i.e., out[i] = in1[i] ^ in2[i]) |
| 210 | */ |
| 211 | class CLElementwisePower : public ICLSimpleFunction |
| 212 | { |
| 213 | public: |
| 214 | /** Initialise the kernel's inputs, output and conversion policy. |
| 215 | * |
| 216 | * @param[in, out] input1 First tensor input. Data types supported: F16/F32. |
| 217 | * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. |
| 218 | * @param[in, out] input2 Second tensor input. Data types supported: F16/F32. |
| 219 | * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. |
| 220 | * @param[out] output Output tensor. Data types supported:F16/F32. |
| 221 | */ |
| 222 | void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output); |
| 223 | /** Static function to check if given info will lead to a valid configuration of @ref CLArithmeticOperationKernel for power |
| 224 | * |
| 225 | * @param[in] input1 First tensor input info. Data types supported: F16/F32. |
| 226 | * @param[in] input2 Second tensor input info. Data types supported: F16/F32. |
| 227 | * @param[in] output Output tensor info. Data types supported: F16/F32. |
| 228 | * |
| 229 | * @return a status |
| 230 | */ |
| 231 | static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output); |
| 232 | }; |
giuros01 | 164a272 | 2018-11-20 18:34:46 +0000 | [diff] [blame] | 233 | } // namespace arm_compute |
| 234 | #endif /* __ARM_COMPUTE_CLELEMENTWISEOPERATIONS_H__ */ |