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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) 2018-2020 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_CLONEHOTKERNEL_H__
+#define __ARM_COMPUTE_CLONEHOTKERNEL_H__
+#include "src/core/CL/ICLKernel.h"
+#include "arm_compute/core/Types.h"
+namespace arm_compute
+{
+class ICLTensor;
+/** Interface for the kernel to perform one-hot encoding*/
+class CLOneHotKernel : public ICLKernel
+{
+public:
+ /** Default constructor */
+ CLOneHotKernel();
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ CLOneHotKernel(const CLOneHotKernel &) = delete;
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ CLOneHotKernel &operator=(const CLOneHotKernel &) = delete;
+ /** Allow instances of this class to be moved */
+ CLOneHotKernel(CLOneHotKernel &&) = default;
+ /** Allow instances of this class to be moved */
+ CLOneHotKernel &operator=(CLOneHotKernel &&) = default;
+ /** Default destructor */
+ ~CLOneHotKernel() = default;
+ /** Initialise the kernel's inputs and output
+ *
+ * @param[in] indices Indices tensor. 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] depth The depth of the one hot dimension.
+ * @param[in] axis (Optional) The axis to fill. Negative values wrap around. Defaults to -1.
+ * value must be in range [-indices.rank , indices.rank)
+ */
+ void configure(const ICLTensor *indices, const ICLTensor *on_value, const ICLTensor *off_value,
+ ICLTensor *output, int depth, int axis = -1);
+ /** Initialise the kernel's inputs and output already initialized to off_value
+ *
+ * @param[in] indices Indices tensor. 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[out] output Destination tensor. Data type supported: Same as @p on_value
+ * @param[in] depth The depth of the one hot dimension.
+ * @param[in] axis (Optional) The axis to fill. Negative values wrap around. Defaults to -1.
+ * value must be in range [-indices.rank , indices.rank)
+ */
+ void configure(const ICLTensor *indices, const ICLTensor *on_value, ICLTensor *output, int depth,
+ int axis = -1);
+ /** Static function to check if given info will lead to a valid configuration of @ref
+ * CLOneHotKernel
+ *
+ * @param[in] indices Indices tensor. 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[in] output Destination tensor. Data type supported: Same as @p on_value
+ * @param[in] depth The depth of the one hot dimension.
+ * @param[in] axis (Optional) The axis to fill. Negative values wrap around. Defaults to -1.
+ * value must be in range [-indices.rank , indices.rank)
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *indices, const ITensorInfo *on_value,
+ const ITensorInfo *off_value, const ITensorInfo *output, int depth,
+ int axis = -1);
+ /** Static function to check if given info will lead to a valid configuration of @ref
+ * CLOneHotKernel without off_value
+ *
+ * @param[in] indices Indices tensor. 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] output Destination tensor. Data type supported: Same as @p on_value
+ * @param[in] depth The depth of the one hot dimension.
+ * @param[in] axis (Optional) The axis to fill. Negative values wrap around. Defaults to -1.
+ * value must be in range [-indices.rank , indices.rank)
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *indices, const ITensorInfo *on_value,
+ const ITensorInfo *output, int depth, int axis = -1);
+ // Inherited methods overridden:
+ void run(const Window &window, cl::CommandQueue &queue) override;
+
+private:
+ /** Initialise the kernel's inputs and outputs internally
+ *
+ * @param[in] indices Indices tensor. 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[out] output Destination tensor. Data type supported: Same as @p on_value
+ * @param[in] depth The depth of the one hot dimension.
+ * @param[in] axis (Optional) The axis to fill. Negative values wrap around. Defaults to -1.
+ * value must be in range [-indices.rank , indices.rank)
+ */
+ void configure_common(const ICLTensor *indices, const ICLTensor *on_value, ICLTensor *output,
+ int depth, int axis);
+
+private:
+ const ICLTensor *_indices; /**< Indices tensor */
+ const ICLTensor *_on_value; /**< On value tensor */
+ const ICLTensor *_off_value; /**< Off value tensor */
+ ICLTensor *_output; /**< Destination tensor */
+ bool _is_off_value_memset; /**< Whether off_value is zero */
+};
+} // namespace arm_compute
+#endif /*__ARM_COMPUTE_CLONEHOTKERNEL_H__ */