/* * Copyright (c) 2016-2021, 2023 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_CPU_MUL_H #define ARM_COMPUTE_CPU_MUL_H #include "arm_compute/core/ITensorInfo.h" #include "arm_compute/function_info/ActivationLayerInfo.h" #include "src/cpu/ICpuOperator.h" namespace arm_compute { namespace cpu { /** Basic function to run @ref kernels::CpuMulKernel */ class CpuMul : public ICpuOperator { public: /** Initialise the kernel's inputs, dst and convertion policy. * * @note For @p scale equal to 1/255 only round to nearest even (implemented as round half up) is supported. * For all other scale values only round to zero (implemented as round towards minus infinity) is supported. * * @param[in, out] src1 First input tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/S32/QSYMM16/F16/F32 * This input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. * @param[in, out] src2 Second input tensor info. Data types supported: U8, QASYMM8 (only if @p src1 is QASYMM8), QASYMM8_SIGNED (only if @p src1 is QASYMM8_SIGNED), S16, S32, QSYMM16 (only if @p src1 is QSYMM16), F16 (only if @p src1 is F16), F32 (only if @p src1 is F32). * This input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. * @param[out] dst dst tensor info. Data types supported: * - U8, only if both inputs are U8. * - QASYMM8, only if both inputs are QASYMM8. * - QASYMM8_SIGNED, only if @p src1 is QASYMM8_SIGNED. * - S16. * - QSYMM16, only if both inputs are QSYMM16. * - S32, only if both inputs are S32 or both are QSYMM16. * - F16, only if @p src1 is F16. * - F32, only if both inputs are F32. * @param[in] scale Scale to apply after multiplication. * Scale must be positive and its value must be either 1/255 or 1/2^n where n is between 0 and 15. * If both @p src1, @p src2 and @p dst are of datatype S32, scale cannot be 1/255 * @param[in] overflow_policy Overflow policy. ConvertPolicy cannot be WRAP if any of the inputs is of quantized datatype * @param[in] rounding_policy Rounding policy. * @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported. */ void configure(ITensorInfo *src1, ITensorInfo *src2, ITensorInfo *dst, float scale, ConvertPolicy overflow_policy, RoundingPolicy rounding_policy, const ActivationLayerInfo &act_info = ActivationLayerInfo()); /** Static function to check if given info will lead to a valid configuration * * Similar to @ref CpuMul::configure() * * @return a status */ static Status validate(const ITensorInfo *src1, const ITensorInfo *src2, const ITensorInfo *dst, float scale, ConvertPolicy overflow_policy, RoundingPolicy rounding_policy, const ActivationLayerInfo &act_info = ActivationLayerInfo()); // Inherited methods overridden: void run(ITensorPack &tensors) override; }; /** Basic function to run @ref kernels::CpuComplexMulKernel */ class CpuComplexMul : public ICpuOperator { public: /** Initialise the kernel's inputs, dst. * * @param[in, out] src1 First input tensor. Data types supported: F32. Number of channels supported: 2 (complex tensor). * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. * @param[in, out] src2 Second input tensor. Data types supported: same as @p src1. Number of channels supported: same as @p src1. * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. * @param[out] dst The dst tensor. Data types supported: same as @p src1. Number of channels: same as @p src1. * @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported. */ void configure(ITensorInfo *src1, ITensorInfo *src2, ITensorInfo *dst, const ActivationLayerInfo &act_info = ActivationLayerInfo()); /** Static function to check if given info will lead to a valid configuration * * Similar to @ref CpuComplexMul::configure() * * @return a status */ static Status validate(const ITensorInfo *src1, const ITensorInfo *src2, const ITensorInfo *dst, const ActivationLayerInfo &act_info = ActivationLayerInfo()); // Inherited methods overridden: void run(ITensorPack &tensors) override; }; } // namespace cpu } // namespace arm_compute #endif /* ARM_COMPUTE_CPU_MUL_H */