blob: 4ccfe2684ef76106e045b85eb070a7a7a4dca090 [file] [log] [blame]
/*
* 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_GCSOFTMAXLAYER_H
#define ARM_COMPUTE_GCSOFTMAXLAYER_H
#include "arm_compute/core/GLES_COMPUTE/kernels/GCSoftmaxLayerKernel.h"
#include "arm_compute/runtime/GLES_COMPUTE/GCTensor.h"
#include "arm_compute/runtime/IFunction.h"
#include "arm_compute/runtime/MemoryGroup.h"
namespace arm_compute
{
class IGCTensor;
/** Basic function to compute a SoftmaxLayer.
*
* Softmax is calculated by :
* @f[ out = exp(x - max(x)) / sum(exp(x - max(x))) @f]
*
* This function runs the following kernels:
* -# @ref GCLogits1DMaxKernel
* -# @ref GCLogits1DShiftExpSumKernel
* -# @ref GCLogits1DNormKernel
*/
class GCSoftmaxLayer : public IFunction
{
public:
/** Constructor */
GCSoftmaxLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
/** Set the input and output tensors.
*
* @param[in] input Source tensor. Data types supported: F16/F32
* @param[out] output Destination tensor. Data types supported: same as @p input
* @param[in] beta (Optional) A scaling factor for the exponent. Only beta = 1 is supported
* @param[in] reduce_end_axis (Optional) The last axis of the first n dimensions (inclusive)to reduce. Defaults to 0.
* It has the purpose of squashing together the first n dimensions till (including) the @p reduce_end_axis. For instance, given a [2x3x4x5] image,
* when @p reduce_end_axis is 1, the reduction will be applied to axes 0 and 1, and the Softmax op will be applied on each of the [2x3] planes of the input image.
* Must be in range [0, input_num_dimensions).
*
* @note The value of @p reduce_end_axis must be always 0 for GLES
*/
void configure(const IGCTensor *input, IGCTensor *output, float beta = 1.0f, size_t reduce_end_axis = 0);
// Inherited methods overridden:
void run() override;
private:
MemoryGroup _memory_group;
GCLogits1DMaxKernel _max_kernel;
GCLogits1DShiftExpSumKernel _shift_exp_sum_kernel;
GCLogits1DNormKernel _norm_kernel;
GCTensor _max;
GCTensor _sum;
GCTensor _tmp;
};
} // namespace arm_compute
#endif /* ARM_COMPUTE_GCSOFTMAXLAYER_H */