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/*
* Copyright (c) 2016-2024 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 ACL_ARM_COMPUTE_FUNCTION_INFO_ACTIVATIONLAYERINFO_H
#define ACL_ARM_COMPUTE_FUNCTION_INFO_ACTIVATIONLAYERINFO_H
#include "arm_compute/core/CoreTypes.h"
#include "arm_compute/core/Error.h"
#include "arm_compute/core/QuantizationInfo.h"
#include <array>
#include <memory>
#ifdef __aarch64__
#include <arm_neon.h>
#endif // __arch64__
namespace arm_compute
{
/** Available activation functions */
enum class ActivationFunction
{
LOGISTIC, /**< Logistic ( \f$ f(x) = \frac{1}{1 + e^{-x}} \f$ ) */
TANH, /**< Hyperbolic tangent ( \f$ f(x) = a \cdot tanh(b \cdot x) \f$ ) */
RELU, /**< Rectifier ( \f$ f(x) = max(0,x) \f$ ) */
BOUNDED_RELU, /**< Upper Bounded Rectifier ( \f$ f(x) = min(a, max(0,x)) \f$ ) */
LU_BOUNDED_RELU, /**< Lower and Upper Bounded Rectifier ( \f$ f(x) = min(a, max(b,x)) \f$ ) */
LEAKY_RELU, /**< Leaky Rectifier ( \f$ f(x) = \begin{cases} \alpha x & \quad \text{if } x \text{ < 0}\\ x & \quad \text{if } x \geq \text{ 0 } \end{cases} \f$ ) */
SOFT_RELU, /**< Soft Rectifier ( \f$ f(x)= log(1+e^x) \f$ ) */
ELU, /**< Exponential Linear Unit ( \f$ f(x) = \begin{cases} \alpha (exp(x) - 1) & \quad \text{if } x \text{ < 0}\\ x & \quad \text{if } x \geq \text{ 0 } \end{cases} \f$ ) */
ABS, /**< Absolute ( \f$ f(x)= |x| \f$ ) */
SQUARE, /**< Square ( \f$ f(x)= x^2 \f$ )*/
SQRT, /**< Square root ( \f$ f(x) = \sqrt{x} \f$ )*/
LINEAR, /**< Linear ( \f$ f(x)= ax + b \f$ ) */
IDENTITY, /**< Identity ( \f$ f(x)= x \f$ ) */
HARD_SWISH, /**< Hard-swish ( \f$ f(x) = (x \text{ReLU6}(x+3))/6 = x \min(\max(0,x+3),6)/6 \f$ ) */
SWISH, /**< Swish ( \f$ f(x) = \frac{x}{1 + e^{-ax}} = x \text{logistic}(ax) \f$ ) */
GELU /**< GELU ( \f$ f(x) = x * 1/2 * 1 + erf(x / \sqrt{2}) \f$ ) */
};
/** Activation Layer Information class */
class ActivationLayerInfo
{
public:
typedef arm_compute::ActivationFunction ActivationFunction;
/** Lookup table */
#ifdef __aarch64__
// TODO (COMPMID-7511): delegate to LUTManager
using LookupTable256 = std::array<qasymm8_t, 256>;
using LookupTable65536 = std::array<float16_t, 65536>;
#endif // __aarch64__
ActivationLayerInfo() = default;
/** Default Constructor
*
* @param[in] f The activation function to use.
* @param[in] a (Optional) The alpha parameter used by some activation functions
* (@ref ActivationFunction::BOUNDED_RELU, @ref ActivationFunction::LU_BOUNDED_RELU, @ref ActivationFunction::LINEAR, @ref ActivationFunction::TANH).
* @param[in] b (Optional) The beta parameter used by some activation functions (@ref ActivationFunction::LINEAR, @ref ActivationFunction::LU_BOUNDED_RELU, @ref ActivationFunction::TANH).
*/
ActivationLayerInfo(ActivationFunction f, float a = 0.0f, float b = 0.0f) : _act(f), _a(a), _b(b), _enabled(true)
{
}
/** Get the type of activation function */
ActivationFunction activation() const
{
return _act;
}
/** Get the alpha value */
float a() const
{
return _a;
}
/** Get the beta value */
float b() const
{
return _b;
}
/** Check if initialised */
bool enabled() const
{
return _enabled;
}
#ifdef __aarch64__
const LookupTable256 &lut() const
{
return _lut;
}
void setLookupTable256(LookupTable256 &lut)
{
_lut = std::move(lut);
}
const LookupTable65536 &lut_fp16() const
{
ARM_COMPUTE_ERROR_ON(_lut_fp16 == nullptr);
return *_lut_fp16;
}
void setLookupTable65536(std::shared_ptr<LookupTable65536> lut)
{
_lut_fp16 = lut;
}
#endif // __aarch64__
// The < and == are added to be able to use this data type as an attribute for LUTInfo
friend bool operator<(const ActivationLayerInfo &l, const ActivationLayerInfo &r)
{
const auto l_tup = std::make_tuple(l._act, l._a, l._b, l._enabled);
const auto r_tup = std::make_tuple(r._act, r._a, r._b, r._enabled);
return l_tup < r_tup;
}
bool operator==(const ActivationLayerInfo &l) const
{
return this->_act == l._act && this->_a == l._a && this->_b == l._b && this->_enabled == l._enabled;
}
private:
ActivationFunction _act = {ActivationLayerInfo::ActivationFunction::IDENTITY};
float _a = {};
float _b = {};
bool _enabled = {false};
#ifdef __aarch64__
LookupTable256 _lut = {};
std::shared_ptr<LookupTable65536> _lut_fp16{nullptr};
#endif // __aarch64__
};
} // namespace arm_compute
#endif // ACL_ARM_COMPUTE_FUNCTION_INFO_ACTIVATIONLAYERINFO_H
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