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/*
* Copyright (c) 2017 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.
*/
#include "arm_compute/core/NEON/kernels/NEActivationLayerKernel.h"
#include "arm_compute/core/FixedPoint.h"
#include "arm_compute/core/Helpers.h"
#include "arm_compute/core/ITensor.h"
#include "arm_compute/core/NEON/NEFixedPoint.h"
#include "arm_compute/core/NEON/NEMath.h"
#include "arm_compute/core/TensorInfo.h"
#include "arm_compute/core/Utils.h"
#include "arm_compute/core/Validate.h"
#include "arm_compute/core/Window.h"
#include <arm_neon.h>
#include <array>
#include <cmath>
#include <map>
using namespace arm_compute;
NEActivationLayerKernel::NEActivationLayerKernel()
: _func(nullptr), _act_info(ActivationFunction::LOGISTIC)
{
}
void NEActivationLayerKernel::configure(const ITensor *input, ITensor *output, ActivationLayerInfo activation_info)
{
ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F32, DataType::QS8);
ARM_COMPUTE_ERROR_ON_NULLPTR(output);
// Output auto inizialitation if not yet initialized
auto_init_if_empty(*output->info(), input->info()->tensor_shape(), 1, input->info()->data_type(), input->info()->fixed_point_position());
ARM_COMPUTE_ERROR_ON_MISMATCHING_SHAPES(input, output);
ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
ARM_COMPUTE_ERROR_ON_MISMATCHING_FIXED_POINT(input, output);
// Activation functions : FP32
static std::map<ActivationFunction, ActivationFunctionExecutorPtr> act_map_f32 =
{
{ ActivationFunction::ABS, &NEActivationLayerKernel::activation<ActivationFunction::ABS, float> },
{ ActivationFunction::LINEAR, &NEActivationLayerKernel::activation<ActivationFunction::LINEAR, float> },
{ ActivationFunction::LOGISTIC, &NEActivationLayerKernel::activation<ActivationFunction::LOGISTIC, float> },
{ ActivationFunction::RELU, &NEActivationLayerKernel::activation<ActivationFunction::RELU, float> },
{ ActivationFunction::BOUNDED_RELU, &NEActivationLayerKernel::activation<ActivationFunction::BOUNDED_RELU, float> },
{ ActivationFunction::SOFT_RELU, &NEActivationLayerKernel::activation<ActivationFunction::SOFT_RELU, float> },
{ ActivationFunction::SQRT, &NEActivationLayerKernel::activation<ActivationFunction::SQRT, float> },
{ ActivationFunction::SQUARE, &NEActivationLayerKernel::activation<ActivationFunction::SQUARE, float> },
{ ActivationFunction::TANH, &NEActivationLayerKernel::activation<ActivationFunction::TANH, float> },
};
// Activation functions : QS8
static std::map<ActivationFunction, ActivationFunctionExecutorPtr> act_map_qs8 =
{
{ ActivationFunction::ABS, &NEActivationLayerKernel::activation<ActivationFunction::ABS, qint8_t> },
{ ActivationFunction::LINEAR, &NEActivationLayerKernel::activation<ActivationFunction::LINEAR, qint8_t> },
{ ActivationFunction::LOGISTIC, &NEActivationLayerKernel::activation<ActivationFunction::LOGISTIC, qint8_t> },
{ ActivationFunction::RELU, &NEActivationLayerKernel::activation<ActivationFunction::RELU, qint8_t> },
{ ActivationFunction::BOUNDED_RELU, &NEActivationLayerKernel::activation<ActivationFunction::BOUNDED_RELU, qint8_t> },
{ ActivationFunction::SOFT_RELU, &NEActivationLayerKernel::activation<ActivationFunction::SOFT_RELU, qint8_t> },
{ ActivationFunction::SQRT, &NEActivationLayerKernel::activation<ActivationFunction::SQRT, qint8_t> },
{ ActivationFunction::SQUARE, &NEActivationLayerKernel::activation<ActivationFunction::SQUARE, qint8_t> },
{ ActivationFunction::TANH, &NEActivationLayerKernel::activation<ActivationFunction::TANH, qint8_t> },
};
_input = input;
_output = output;
_act_info = activation_info;
switch(input->info()->data_type())
{
case DataType::F32:
_func = act_map_f32[activation_info.activation()];
break;
case DataType::QS8:
_func = act_map_qs8[activation_info.activation()];
break;
default:
ARM_COMPUTE_ERROR("Unsupported data type.");
}
constexpr unsigned int num_elems_processed_per_iteration = 16;
INESimpleKernel::configure(_input, _output, num_elems_processed_per_iteration);
}
template <ActivationLayerInfo::ActivationFunction F, typename T>
typename std::enable_if<std::is_same<T, float>::value, void>::type NEActivationLayerKernel::activation(const Window &window)
{
Iterator input(_input, window);
Iterator output(_output, window);
static const float32x4_t CONST_1 = vdupq_n_f32(1.f);
static const float32x4_t CONST_0 = vdupq_n_f32(0.f);
const float32x4_t a = vdupq_n_f32(_act_info.a());
const float32x4_t b = vdupq_n_f32(_act_info.b());
execute_window_loop(window, [&](const Coordinates & id)
{
const auto input_ptr = reinterpret_cast<const float *>(input.ptr());
const auto output_ptr = reinterpret_cast<float *>(output.ptr());
const float32x4x4_t in = vld4q_f32(input_ptr);
float32x4x4_t tmp = { {} };
switch(F)
{
case ActivationFunction::ABS:
tmp =
{
{
vabsq_f32(in.val[0]),
vabsq_f32(in.val[1]),
vabsq_f32(in.val[2]),
vabsq_f32(in.val[3]),
}
};
break;
case ActivationFunction::BOUNDED_RELU:
tmp =
{
{
vminq_f32(a, vmaxq_f32(CONST_0, in.val[0])),
vminq_f32(a, vmaxq_f32(CONST_0, in.val[1])),
vminq_f32(a, vmaxq_f32(CONST_0, in.val[2])),
vminq_f32(a, vmaxq_f32(CONST_0, in.val[3])),
}
};
break;
case ActivationFunction::LINEAR:
tmp =
{
{
vmlaq_f32(b, a, in.val[0]),
vmlaq_f32(b, a, in.val[1]),
vmlaq_f32(b, a, in.val[2]),
vmlaq_f32(b, a, in.val[3]),
}
};
break;
case ActivationFunction::LOGISTIC:
tmp =
{
{
vinvq_f32(vaddq_f32(CONST_1, vexpq_f32(vnegq_f32(in.val[0])))),
vinvq_f32(vaddq_f32(CONST_1, vexpq_f32(vnegq_f32(in.val[1])))),
vinvq_f32(vaddq_f32(CONST_1, vexpq_f32(vnegq_f32(in.val[2])))),
vinvq_f32(vaddq_f32(CONST_1, vexpq_f32(vnegq_f32(in.val[3])))),
}
};
break;
case ActivationFunction::RELU:
tmp =
{
{
vmaxq_f32(CONST_0, in.val[0]),
vmaxq_f32(CONST_0, in.val[1]),
vmaxq_f32(CONST_0, in.val[2]),
vmaxq_f32(CONST_0, in.val[3]),
}
};
break;
case ActivationFunction::SOFT_RELU:
tmp =
{
{
vlogq_f32(vaddq_f32(CONST_1, vexpq_f32(in.val[0]))),
vlogq_f32(vaddq_f32(CONST_1, vexpq_f32(in.val[1]))),
vlogq_f32(vaddq_f32(CONST_1, vexpq_f32(in.val[2]))),
vlogq_f32(vaddq_f32(CONST_1, vexpq_f32(in.val[3]))),
}
};
break;
case ActivationFunction::SQRT:
tmp =
{
{
vinvq_f32(vinvsqrtq_f32(in.val[0])),
vinvq_f32(vinvsqrtq_f32(in.val[1])),
vinvq_f32(vinvsqrtq_f32(in.val[2])),
vinvq_f32(vinvsqrtq_f32(in.val[3])),
}
};
break;
case ActivationFunction::SQUARE:
tmp =
{
{
vmulq_f32(in.val[0], in.val[0]),
vmulq_f32(in.val[1], in.val[1]),
vmulq_f32(in.val[2], in.val[2]),
vmulq_f32(in.val[3], in.val[3]),
}
};
break;
case ActivationFunction::TANH:
tmp =
{
{
vmulq_f32(a, vtanhq_f32(vmulq_f32(b, in.val[0]))),
vmulq_f32(a, vtanhq_f32(vmulq_f32(b, in.val[1]))),
vmulq_f32(a, vtanhq_f32(vmulq_f32(b, in.val[2]))),
vmulq_f32(a, vtanhq_f32(vmulq_f32(b, in.val[3]))),
}
};
break;
default:
break;
}
vst4q_f32(output_ptr, tmp);
},
input, output);
}
template <ActivationLayerInfo::ActivationFunction F, typename T>
typename std::enable_if<std::is_same<T, int8_t>::value, void>::type NEActivationLayerKernel::activation(const Window &window)
{
Iterator input(_input, window);
Iterator output(_output, window);
int fixed_point_position = _input->info()->fixed_point_position();
static const qint8x16_t CONST_0 = vdupq_n_qs8(0);
const qint8x16_t CONST_1 = vdupq_n_qs8(scvt_qs8_f32(1.f, fixed_point_position));
const qint8x16_t a = vdupq_n_qs8(scvt_qs8_f32(_act_info.a(), fixed_point_position));
const qint8x16_t b = vdupq_n_qs8(scvt_qs8_f32(_act_info.b(), fixed_point_position));
execute_window_loop(window, [&](const Coordinates & id)
{
const auto input_ptr = reinterpret_cast<const int8_t *>(input.ptr());
const auto output_ptr = reinterpret_cast<int8_t *>(output.ptr());
const qint8x16_t in = vld1q_qs8(input_ptr);
qint8x16_t tmp = {};
switch(F)
{
case ActivationFunction::ABS:
tmp = vqabsq_qs8(in);
break;
case ActivationFunction::BOUNDED_RELU:
tmp = vminq_qs8(a, vmaxq_qs8(CONST_0, in));
break;
case ActivationFunction::LINEAR:
tmp = vqmlaq_qs8(b, a, in, fixed_point_position);
break;
case ActivationFunction::LOGISTIC:
tmp = vrecipq_qs8(vqaddq_qs8(CONST_1, vqexpq_qs8(vnegq_s8(in), fixed_point_position)), fixed_point_position);
break;
case ActivationFunction::RELU:
tmp = vmaxq_qs8(CONST_0, in);
break;
case ActivationFunction::SOFT_RELU:
tmp = vlogq_qs8(vqaddq_qs8(CONST_1, vqexpq_qs8(in, fixed_point_position)), fixed_point_position);
break;
case ActivationFunction::SQRT:
tmp = vrecipq_qs8(vinvsqrtq_qs8(in, fixed_point_position), fixed_point_position);
break;
case ActivationFunction::SQUARE:
tmp = vqmulq_qs8(in, in, fixed_point_position);
break;
case ActivationFunction::TANH:
tmp = vtanhq_qs8(in, fixed_point_position);
break;
default:
break;
}
vst1q_qs8(output_ptr, tmp);
},
input, output);
}
void NEActivationLayerKernel::run(const Window &window)
{
ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INESimpleKernel::window(), window);
ARM_COMPUTE_ERROR_ON(_func == nullptr);
(this->*_func)(window);
}
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