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/*
* Copyright (c) 2016-2020 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_CLPIXELWISEMULTIPLICATION_H
#define ARM_COMPUTE_CLPIXELWISEMULTIPLICATION_H
#include "arm_compute/core/CL/kernels/CLFillBorderKernel.h"
#include "arm_compute/runtime/CL/ICLOperator.h"
#include "arm_compute/runtime/IFunction.h"
namespace arm_compute
{
// Forward declaration
class ICLTensor;
namespace experimental
{
/** Basic function to run @ref CLPixelWiseMultiplicationKernel. */
class CLPixelWiseMultiplication : public ICLOperator
{
public:
/** Default Constructor */
CLPixelWiseMultiplication();
/** Initialise the kernel's inputs, output and convertion policy.
*
* Valid configurations (Input1,Input2) -> Output :
*
* - (U8,U8) -> U8
* - (U8,U8) -> S16
* - (U8,S16) -> S16
* - (S16,U8) -> S16
* - (S16,S16) -> S16
* - (F16,F16) -> F16
* - (F32,F32) -> F32
* - (QASYMM8,QASYMM8) -> QASYMM8
* - (QASYMM8_SIGNED,QASYMM8_SIGNED) -> QASYMM8_SIGNED
* - (QSYMM16,QSYMM16) -> QSYMM16
* - (QSYMM16,QSYMM16) -> S32
*
* @param[in] compile_context The compile context to be used.
* @param[in, out] input1 An input tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32.
* 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] input2 An input tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32.
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
* @param[out] output The output tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/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.
* @param[in] overflow_policy Overflow policy. Supported overflow policies: Wrap, Saturate
* @param[in] rounding_policy Rounding policy. Supported rounding modes: to zero, to nearest even.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
*/
void configure(const CLCompileContext &compile_context, ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output, 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 of @ref CLPixelWiseMultiplication
*
* Valid configurations (Input1,Input2) -> Output :
*
* - (U8,U8) -> U8
* - (U8,U8) -> S16
* - (U8,S16) -> S16
* - (S16,U8) -> S16
* - (S16,S16) -> S16
* - (F16,F16) -> F16
* - (F32,F32) -> F32
* - (QASYMM8,QASYMM8) -> QASYMM8
* - (QASYMM8_SIGNED,QASYMM8_SIGNED) -> QASYMM8_SIGNED
* - (QSYMM16,QSYMM16) -> QSYMM16
* - (QSYMM16,QSYMM16) -> S32
*
*
* @param[in] input1 An input tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32.
* @param[in] input2 An input tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32.
* @param[in] output The output tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/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.
* @param[in] overflow_policy Overflow policy. Supported overflow policies: Wrap, Saturate
* @param[in] rounding_policy Rounding policy. Supported rounding modes: to zero, to nearest even.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
*
* @return a status
*/
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, float scale,
ConvertPolicy overflow_policy, RoundingPolicy rounding_policy, const ActivationLayerInfo &act_info = ActivationLayerInfo());
// Inherited methods overridden:
void run(InputTensorMap inputs, OutputTensorMap outputs, OperatorTensorMap workspace) override;
private:
CLFillBorderKernel _border_handler;
};
/** Basic function to run @ref CLComplexPixelWiseMultiplicationKernel. */
class CLComplexPixelWiseMultiplication : public ICLOperator
{
public:
/** Default Constructor */
CLComplexPixelWiseMultiplication();
/** Initialise the kernel's inputs, output.
*
* @param[in] compile_context The compile context to be used.
* @param[in, out] input1 An input tensor. Data types supported: F32. Number of channels supported: 2.
* 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] input2 An input tensor. Data types supported: same as @p input1. Number of channels supported: same as @p input1.
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
* @param[out] output The output tensor, Data types supported: same as @p input1. Number of channels supported: same as @p input1.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
*/
void configure(const CLCompileContext &compile_context, ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
/** Static function to check if given info will lead to a valid configuration of @ref CLComplexPixelWiseMultiplication
*
* @param[in] input1 An input tensor info. Data types supported: F32. Number of channels supported: 2.
* @param[in] input2 An input tensor info. Data types supported: same as @p input1. Number of channels supported: same as @p input1.
* @param[in] output The output tensor info, Data types supported: same as @p input1. Number of channels supported: same as @p input1.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
*/
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
// Inherited methods overridden:
void run(InputTensorMap inputs, OutputTensorMap outputs, OperatorTensorMap workspace) override;
private:
CLFillBorderKernel _border_handler;
};
} // namespace experimental
/** Basic function to run @ref CLPixelWiseMultiplicationKernel. */
class CLPixelWiseMultiplication : public IFunction
{
public:
/** Default Constructor */
CLPixelWiseMultiplication();
/** Default Destructor */
~CLPixelWiseMultiplication();
/** Prevent instances of this class from being copied (As this class contains pointers) */
CLPixelWiseMultiplication(const CLPixelWiseMultiplication &) = delete;
/** Default move constructor */
CLPixelWiseMultiplication(CLPixelWiseMultiplication &&);
/** Prevent instances of this class from being copied (As this class contains pointers) */
CLPixelWiseMultiplication &operator=(const CLPixelWiseMultiplication &) = delete;
/** Default move assignment operator */
CLPixelWiseMultiplication &operator=(CLPixelWiseMultiplication &&);
/** Initialise the kernel's inputs, output and convertion policy.
*
* Valid configurations (Input1,Input2) -> Output :
*
* - (U8,U8) -> U8
* - (U8,U8) -> S16
* - (U8,S16) -> S16
* - (S16,U8) -> S16
* - (S16,S16) -> S16
* - (F16,F16) -> F16
* - (F32,F32) -> F32
* - (QASYMM8,QASYMM8) -> QASYMM8
* - (QASYMM8_SIGNED,QASYMM8_SIGNED) -> QASYMM8_SIGNED
* - (QSYMM16,QSYMM16) -> QSYMM16
* - (QSYMM16,QSYMM16) -> S32
*
* @param[in, out] input1 An input tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32.
* 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] input2 An input tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32.
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
* @param[out] output The output tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/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.
* @param[in] overflow_policy Overflow policy. Supported overflow policies: Wrap, Saturate
* @param[in] rounding_policy Rounding policy. Supported rounding modes: to zero, to nearest even.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
*/
void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output, float scale,
ConvertPolicy overflow_policy, RoundingPolicy rounding_policy, const ActivationLayerInfo &act_info = ActivationLayerInfo());
/** Initialise the kernel's inputs, output and convertion policy.
*
* Valid configurations (Input1,Input2) -> Output :
*
* - (U8,U8) -> U8
* - (U8,U8) -> S16
* - (U8,S16) -> S16
* - (S16,U8) -> S16
* - (S16,S16) -> S16
* - (F16,F16) -> F16
* - (F32,F32) -> F32
* - (QASYMM8,QASYMM8) -> QASYMM8
* - (QASYMM8_SIGNED,QASYMM8_SIGNED) -> QASYMM8_SIGNED
* - (QSYMM16,QSYMM16) -> QSYMM16
* - (QSYMM16,QSYMM16) -> S32
*
* @param[in] compile_context The compile context to be used.
* @param[in, out] input1 An input tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32.
* 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] input2 An input tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32.
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
* @param[out] output The output tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/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.
* @param[in] overflow_policy Overflow policy. Supported overflow policies: Wrap, Saturate
* @param[in] rounding_policy Rounding policy. Supported rounding modes: to zero, to nearest even.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
*/
void configure(const CLCompileContext &compile_context, ICLTensor *input1, ICLTensor *input2, ICLTensor *output, 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 of @ref CLPixelWiseMultiplication
*
* Valid configurations (Input1,Input2) -> Output :
*
* - (U8,U8) -> U8
* - (U8,U8) -> S16
* - (U8,S16) -> S16
* - (S16,U8) -> S16
* - (S16,S16) -> S16
* - (F16,F16) -> F16
* - (F32,F32) -> F32
* - (QASYMM8,QASYMM8) -> QASYMM8
* - (QASYMM8_SIGNED,QASYMM8_SIGNED) -> QASYMM8_SIGNED
* - (QSYMM16,QSYMM16) -> QSYMM16
* - (QSYMM16,QSYMM16) -> S32
*
*
* @param[in] input1 An input tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32.
* @param[in] input2 An input tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32.
* @param[in] output The output tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/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.
* @param[in] overflow_policy Overflow policy. Supported overflow policies: Wrap, Saturate
* @param[in] rounding_policy Rounding policy. Supported rounding modes: to zero, to nearest even.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
*
* @return a status
*/
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, float scale,
ConvertPolicy overflow_policy, RoundingPolicy rounding_policy, const ActivationLayerInfo &act_info = ActivationLayerInfo());
// Inherited methods overridden:
void run() override;
private:
struct Impl;
std::unique_ptr<Impl> _impl;
};
/** Basic function to run @ref CLComplexPixelWiseMultiplicationKernel. */
class CLComplexPixelWiseMultiplication : public IFunction
{
public:
/** Default Constructor */
CLComplexPixelWiseMultiplication();
/** Default Destructor */
~CLComplexPixelWiseMultiplication();
/** Prevent instances of this class from being copied (As this class contains pointers) */
CLComplexPixelWiseMultiplication(const CLComplexPixelWiseMultiplication &) = delete;
/** Default move constructor */
CLComplexPixelWiseMultiplication(CLComplexPixelWiseMultiplication &&);
/** Prevent instances of this class from being copied (As this class contains pointers) */
CLComplexPixelWiseMultiplication &operator=(const CLComplexPixelWiseMultiplication &) = delete;
/** Default move assignment operator */
CLComplexPixelWiseMultiplication &operator=(CLComplexPixelWiseMultiplication &&);
/** Initialise the kernel's inputs, output.
*
* @param[in, out] input1 An input tensor. Data types supported: F32. Number of channels supported: 2.
* 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] input2 An input tensor. Data types supported: same as @p input1. Number of channels supported: same as @p input1.
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
* @param[out] output The output tensor, Data types supported: same as @p input1. Number of channels supported: same as @p input1.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
*/
void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
/** Initialise the kernel's inputs, output.
*
* @param[in] compile_context The compile context to be used.
* @param[in, out] input1 An input tensor. Data types supported: F32. Number of channels supported: 2.
* 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] input2 An input tensor. Data types supported: same as @p input1. Number of channels supported: same as @p input1.
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
* @param[out] output The output tensor, Data types supported: same as @p input1. Number of channels supported: same as @p input1.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
*/
void configure(const CLCompileContext &compile_context, ICLTensor *input1, ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
/** Static function to check if given info will lead to a valid configuration of @ref CLComplexPixelWiseMultiplication
*
* @param[in] input1 An input tensor info. Data types supported: F32. Number of channels supported: 2.
* @param[in] input2 An input tensor info. Data types supported: same as @p input1. Number of channels supported: same as @p input1.
* @param[in] output The output tensor info, Data types supported: same as @p input1. Number of channels supported: same as @p input1.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
*/
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
// Inherited methods overridden:
void run() override;
private:
struct Impl;
std::unique_ptr<Impl> _impl;
};
} // namespace arm_compute
#endif /*ARM_COMPUTE_CLPIXELWISEMULTIPLICATION_H */
|
