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 * distributed with this work for additional information
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 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
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 *
 *   http://www.apache.org/licenses/LICENSE-2.0
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/*!
 * \file set.h
 * \brief The functions to make Relax set operator calls.
 */
#ifndef TVM_RELAX_OP_TENSOR_SET_H_
#define TVM_RELAX_OP_TENSOR_SET_H_

#include "../op_common.h"

namespace tvm {
namespace relax {

/*!
 * \brief Find the unique elements in a given tensor.
 * In addition, it optionally returns
 * - the indices of the input tensor that give the unique values;
 * - the indices of the unique tensor that reconstruct the input tensor;
 * - the number of times each unique value comes up in the input tensor.
 * \param x The input tensor.
 * \param sorted Whether to sort the unique elements in ascending order before
 *        returning as output.
 * \param return_index Whether to return an additional tensor with indices for where elements in
 *        the unique tensor come from the original input.
 * \param return_inverse Whether to return an additional tensor with indices for where elements in
 *        the original input ended up in the returned unique list.
 * \param return_counts Whether to return an additional tensor with counts of each unique elements.
 * \param axis The dimension to apply unique.
 *        If not specified, the unique values of the flattened input are returned.
 * \return The unique elements of the array. The returned array will be sorted if `sorted` is True.
 *         Additional return values depend on `return_index`, `return_inverse`, and `return_counts`.
 */
Expr unique(Expr x, PrimExpr sorted, PrimExpr return_index, PrimExpr return_inverse,
            PrimExpr return_counts, ffi::Optional<PrimExpr> axis);

/*!
 * \brief Returns the indices of the non-zero elements of the input tensor.
 * \param x The input tensor.
 * \return a list of 1-D tensors containing indices of non-zero elements for each dimension.
 * \note This function behaves similarly to numpy.nonzero(), but return a multi-dimensional array
 *       instead of a tuple of 1-D arrays.
 */
Expr nonzero(Expr x);
}  // namespace relax
}  // namespace tvm

#endif  // TVM_RELAX_OP_TENSOR_SET_H_
