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/*
* Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
/*
* Copyright (c) 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_NEONEHOTKERNEL_H__
#define __ARM_COMPUTE_NEONEHOTKERNEL_H__
#include "arm_compute/core/NEON/INEKernel.h"
#include "arm_compute/core/Types.h"
namespace arm_compute
{
// Forward declarations
class ITensor;
/** Kernel to perform other operation on NEON */
class NEOneHotKernel : public INEKernel
{
public:
/** Default constructor. */
NEOneHotKernel();
/** Prevent instances of this class from being copied (As this class contains pointers). */
NEOneHotKernel(const NEOneHotKernel &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers). */
NEOneHotKernel &operator=(const NEOneHotKernel &) = delete;
/** Allow instances of this class to be moved. */
NEOneHotKernel(NEOneHotKernel &&) = default;
/** Allow instances of this class to be moved. */
NEOneHotKernel &operator=(NEOneHotKernel &&) = default;
/** Default detructor */
~NEOneHotKernel() = default;
/** Name of the kernel
*
* @return Kernel name
*/
const char *name() const override { return "NEOneHotKernel"; }
/** Initialise the kernel's inputs and outputs
*
* @param[in] indices Indices tensor. Supported tensor rank: up to 3. Must be one of the
* following types: U32/S32
* @param[in] depth The tensor for depth of the one hot dimension. Supported tensor rank: up to
* 3. Must be one of the following types: U32/S32
* @param[in] on_value On value tensor. Supported tensor rank: only 1. Data type supported:
* U8/S8/U16/S16/F16/U32/S32/F32
* @param[in] off_value Off value tensor. Supported tensor rank: only 1. Data type supported: Same
* as @p on_value
* @param[out] output Destination tensor. Data type supported: Same as @p on_value
* @param[in] axis (Optional) The axis to fill. Negative values wrap around. Defaults to -1.
* The value must be in range [-indices.rank , indices.rank)
*/
void configure(const ITensor *indices, const ITensor *depth, const ITensor *on_value,
const ITensor *off_value, ITensor *output, int axis = -1);
/** Static function to check if given info will lead to a valid configuration of @ref
* NEOneHotKernel
*
* @param[in] indices Indices tensor info. Supported tensor rank: up to 3. Must be one of the
* following types: U32/S32
* @param[in] depth The tensor info for depth of the one hot dimension. Supported tensor rank:
* up to 3. Must be one of the following types: U32/S32
* @param[in] on_value On value tensor info. Supported tensor rank: only 1. Data type supported:
* U8/S8/U16/S16/F16/U32/S32/F32
* @param[in] off_value Off value tensor info. Supported tensor rank: only 1. Data type supported:
* Same as @p on_value
* @param[out] output Destination tensor info. Data type supported: Same as @p on_value
* @param[in] axis (Optional) The axis to fill. Negative values wrap around. Defaults to -1.
* The value must be in range [-indices.rank , indices.rank)
*
* @return a status
*/
static Status validate(const ITensorInfo *indices, const ITensorInfo *depth,
const ITensorInfo *on_value, const ITensorInfo *off_value,
const ITensorInfo *output, int axis = -1);
// Inherited methods overridden:
void run(const Window &window, const ThreadInfo &info) override;
private:
/** Implementation of the onehot operation for 0 axis.
*
* For onehot on the 0 axis an element by element copy is performed.
*
* @param[in] window Region on which to execute the kernel. (Must be a region of the window
* returned by window())
* @param[in] info Info about executing thread and CPU.
*/
template <typename U> void onehot_0_axis(const Window &window, const ThreadInfo &info);
/** Implementation of the onehot operation.
*
* For 1<=axis a row-wise copy is taking place.
*
* @param[in] window Region on which to execute the kernel. (Must be a region of the window
* returned by window())
* @param[in] info Info about executing thread and CPU.
*/
template <typename U> void onehot_n_axis(const Window &window, const ThreadInfo &info);
using kernel_ptr = void (NEOneHotKernel::*)(const Window &window, const ThreadInfo &info);
const ITensor *_indices;
const ITensor *_depth;
const ITensor *_on_value;
const ITensor *_off_value;
int _axis;
ITensor *_output;
kernel_ptr _func;
};
} // namespace arm_compute
#endif /* __ARM_COMPUTE_NEONEHOTKERNEL_H__ */
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