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/*
* Copyright (c) 2017-2020 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_NESOFTMAXLAYERKERNEL_H
#define ARM_COMPUTE_NESOFTMAXLAYERKERNEL_H
#include "arm_compute/core/NEON/INEKernel.h"
#include "arm_compute/core/NEON/INESimpleKernel.h"
namespace arm_compute
{
class ITensor;
/** Interface for the identifying the max value of 1D Logits */
class NELogits1DMaxKernel : public INESimpleKernel
{
public:
const char *name() const override
{
return "NELogits1DMaxKernel";
}
/** Default constructor */
NELogits1DMaxKernel();
/** Set the input and output tensors.
*
* @param[in] input Source tensor. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
* @param[out] output Destination tensor. Data types supported: same as @p input
*/
void configure(const ITensor *input, ITensor *output);
/** Static function to check if given info will lead to a valid configuration of @ref NELogits1DMaxKernel
*
* @param[in] input Source tensor. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
* @param[in] output Destination tensor. Data types supported: same as @p input
*
* @return a status
*/
static Status validate(const ITensorInfo *input, const ITensorInfo *output);
// Inherited methods overridden:
void run(const Window &window, const ThreadInfo &info) override;
BorderSize border_size() const override;
private:
using Logits1DMaxFunction = void(const ITensor &in, ITensor &out, const Window &window);
private:
Logits1DMaxFunction *_func;
BorderSize _border_size;
};
/** Interface for softmax computation for QASYMM8 with pre-computed max. */
template <bool IS_LOG = false>
class NELogits1DSoftmaxKernel : public INEKernel
{
public:
const char *name() const override
{
if(IS_LOG)
{
return "NELogits1DSoftmaxKernel";
}
else
{
return "NELogits1DLogSoftmaxKernel";
}
}
/** Default constructor */
NELogits1DSoftmaxKernel();
/** Prevent instances of this class from being copied (As this class contains pointers) */
NELogits1DSoftmaxKernel(const NELogits1DSoftmaxKernel &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
NELogits1DSoftmaxKernel &operator=(const NELogits1DSoftmaxKernel &) = delete;
/** Allow instances of this class to be moved */
NELogits1DSoftmaxKernel(NELogits1DSoftmaxKernel &&) = default;
/** Allow instances of this class to be moved */
NELogits1DSoftmaxKernel &operator=(NELogits1DSoftmaxKernel &&) = default;
/** Default destructor */
~NELogits1DSoftmaxKernel() = default;
/** Set the input and output tensors.
*
* @param[in] input Source tensor. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
* @param[in] max Max values tensor. Same shape as input with dimension 0 set to 1.
* Data types supported: same as @p input.
* @param[out] output Destination tensor. Data types supported: same as @p input.
* @param[in] beta A scaling factor for the exponent.
*
* @param tmp Auxiliary tensor. Must be type F32 and same shape as the input.
*/
void configure(const ITensor *input, const ITensor *max, ITensor *output, const float beta, ITensor *tmp);
/** Static function to check if given info will lead to a valid configuration of @ref NELogits1DSoftmaxKernel
*
* @param[in] input Source tensor info. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
* @param[in] max Max values tensor info. Same shape as input with dimension 0 set to 1.
* Data types supported: same as @p input.
* @param[in] output Destination tensor info. Data types supported: same as @p input.
* @param[in] beta A scaling factor for the exponent.
* @param[in] tmp Tensor info of auxiliary. Must be type F32 and same shape as the input.
*
* @return a status
*/
static Status validate(const ITensorInfo *input, const ITensorInfo *max,
const ITensorInfo *output, const float beta, const ITensorInfo *tmp);
// Inherited methods overridden:
void run(const Window &window, const ThreadInfo &info) override;
private:
using LogitsSoftmaxFunction = void(const ITensor &in, const ITensor &max, void *const tmp, ITensor &out, const float beta,
const Window &window);
LogitsSoftmaxFunction *_func;
const ITensor *_input;
const ITensor *_max;
ITensor *_output;
float _beta;
ITensor *_tmp; //Temporary. Used internally
};
} // namespace arm_compute
#endif /*ARM_COMPUTE_NESOFTMAXLAYERKERNEL_H */
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