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-/*
- * Copyright (c) 2017-2019 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] axis (Optional) Reduction axis. It has the purpose of squashing the first @p axis
- * dimensions together. For instance, given a [4x4x4x4] image,
- * when @p axis is 2, the Softmax reduction will be applied on each of the [4x4] planes of the input image.
- *
- * @note The value of @p axis must be always 1 for GLES
- */
- void configure(const IGCTensor *input, IGCTensor *output, float beta = 1.0f, size_t axis = 1);
-
- // 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 */