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/*
* Copyright (c) 2016-2018 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 "helpers.h"
#define TYPE VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE)
#define CONST_ONE 1.f
#define ABS_OP(a) fabs((a))
#define ADD_OP(a, b) ((a) + (b))
#define SUB_OP(a, b) ((a) - (b))
#define MUL_OP(a, b) ((a) * (b))
#define MLA_OP(a, b, c) ((b) * (c) + (a))
#define DIV_OP(a, b) ((a) / (b))
#define EXP_OP(a) exp((a))
#define LOG_OP(a) log((a))
#define SQRT_OP(a) sqrt((a))
#define TANH_OP(a) tanh((a))
// Logistic Activation
inline TYPE logistic_op(TYPE x)
{
return DIV_OP((TYPE)CONST_ONE, ADD_OP((TYPE)CONST_ONE, EXP_OP(-x)));
}
// Hyperbolic Tangent Activation
inline TYPE tanh_op(TYPE x)
{
return MUL_OP((TYPE)A_VAL, TANH_OP(MUL_OP((TYPE)B_VAL, x)));
}
// RELU Tangent Activation
inline TYPE relu_op(TYPE x)
{
return max(0, x);
}
// Bounded RELU Activation
inline TYPE brelu_op(TYPE x)
{
return min((TYPE)A_VAL, max(0, x));
}
// Lower Upper Bounded RELU Activation
inline TYPE lu_brelu_op(TYPE x)
{
return min(max(x, (TYPE)B_VAL), (TYPE)A_VAL);
}
// Leaky RELU Activation
inline TYPE lrelu_op(TYPE x)
{
return select(MUL_OP((TYPE)A_VAL, x), x, x > (TYPE)0);
}
// Soft RELU Activation
inline TYPE srelu_op(TYPE x)
{
return LOG_OP(ADD_OP((TYPE)CONST_ONE, EXP_OP(x)));
}
// Absolute Activation
inline TYPE abs_op(TYPE x)
{
return ABS_OP(x);
}
// Square Activation
inline TYPE square_op(TYPE x)
{
return MUL_OP(x, x);
}
// Square-root Activation
inline TYPE sqrt_op(TYPE x)
{
return SQRT_OP(x);
}
// Linear Activation
inline TYPE linear_op(TYPE x)
{
return MLA_OP((TYPE)B_VAL, (TYPE)A_VAL, x);
}
#define ACTIVATION_OP2(op, x) op##_op(x)
#define ACTIVATION_OP(op, x) ACTIVATION_OP2(op, x)
#if defined(ACT)
/** This performs an activation function floating point inputs.
*
* @note In order to perform the activation function "in-place", the pre-processor -DIN_PLACE must be passed at compile time
*
* @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=short
* @note Vector size should be given as a preprocessor argument using -DVEC_SIZE=size. e.g. -DVEC_SIZE=16
* @note Activation function should be given as a preprocessor argument using -DACT=name. e.g. -DACT=TANH
* @note A, B variables required by some activation functions are set using -DA_VAL= and -DB_VAL= respectively.
*
* @param[in] input_ptr Pointer to the source image. Supported data types: F16/F32
* @param[in] input_stride_x Stride of the source image in X dimension (in bytes)
* @param[in] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes)
* @param[in] input_stride_y Stride of the source image in Y dimension (in bytes)
* @param[in] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes)
* @param[in] input_stride_z Stride of the source tensor in Z dimension (in bytes)
* @param[in] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes)
* @param[in] input_offset_first_element_in_bytes The offset of the first element in the source image
* @param[out] output_ptr Pointer to the destination image. Supported data types: same as @p input_ptr
* @param[in] output_stride_x Stride of the destination image in X dimension (in bytes)
* @param[in] output_step_x output_stride_x * number of elements along X processed per workitem(in bytes)
* @param[in] output_stride_y Stride of the destination image in Y dimension (in bytes)
* @param[in] output_step_y output_stride_y * number of elements along Y processed per workitem(in bytes)
* @param[in] output_stride_z Stride of the source tensor in Z dimension (in bytes)
* @param[in] output_step_z output_stride_z * number of elements along Z processed per workitem(in bytes)
* @param[in] output_offset_first_element_in_bytes The offset of the first element in the destination image
*/
__kernel void activation_layer(
TENSOR3D_DECLARATION(input)
#ifndef IN_PLACE
,
TENSOR3D_DECLARATION(output)
#endif /* not IN_PLACE */
)
{
// Get pixels pointer
Tensor3D input = CONVERT_TO_TENSOR3D_STRUCT(input);
#ifdef IN_PLACE
Tensor3D output = input;
#else /* IN_PLACE */
Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT(output);
#endif /* IN_PLACE */
// Load data
TYPE data = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)input.ptr);
// Perform activation
data = ACTIVATION_OP(ACT, data);
// Store result
VSTORE(VEC_SIZE)
(data, 0, (__global DATA_TYPE *)output.ptr);
}
#endif /* defined(ACT) */
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