80 lines
3.1 KiB
C
80 lines
3.1 KiB
C
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/*
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* Copyright (c) 2017-2020 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#ifndef ARM_COMPUTE_GCSOFTMAXLAYER_H
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#define ARM_COMPUTE_GCSOFTMAXLAYER_H
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#include "arm_compute/core/GLES_COMPUTE/kernels/GCSoftmaxLayerKernel.h"
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#include "arm_compute/runtime/GLES_COMPUTE/GCTensor.h"
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#include "arm_compute/runtime/IFunction.h"
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#include "arm_compute/runtime/MemoryGroup.h"
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namespace arm_compute
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{
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class IGCTensor;
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/** Basic function to compute a SoftmaxLayer.
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*
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* Softmax is calculated by :
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* @f[ out = exp(x - max(x)) / sum(exp(x - max(x))) @f]
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*
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* This function runs the following kernels:
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* -# @ref GCLogits1DMaxKernel
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* -# @ref GCLogits1DShiftExpSumKernel
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* -# @ref GCLogits1DNormKernel
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*
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* @deprecated This function is deprecated and is intended to be removed in 21.05 release
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*
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*/
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class GCSoftmaxLayer : public IFunction
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{
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public:
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/** Constructor */
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GCSoftmaxLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
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/** Set the input and output tensors.
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*
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* @param[in] input Source tensor. Data types supported: F16/F32
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* @param[out] output Destination tensor. Data types supported: same as @p input
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* @param[in] beta (Optional) A scaling factor for the exponent. Only beta = 1 is supported
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* @param[in] axis (Optional) The dimension in which to apply the function. E.g. for input of shape 4x5x6 and
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* axis=1, softmax will be applied to 4x6=24 vectors of size 5. Defaults to 0
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*
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* @note The value of @p axis must be always 0 for GLES
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*/
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void configure(const IGCTensor *input, IGCTensor *output, float beta = 1.0f, int32_t axis = 0);
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// Inherited methods overridden:
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void run() override;
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private:
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MemoryGroup _memory_group;
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GCLogits1DMaxKernel _max_kernel;
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GCLogits1DShiftExpSumKernel _shift_exp_sum_kernel;
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GCLogits1DNormKernel _norm_kernel;
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GCTensor _max;
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GCTensor _sum;
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GCTensor _tmp;
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};
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} // namespace arm_compute
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#endif /* ARM_COMPUTE_GCSOFTMAXLAYER_H */
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