// Copyright (C) 2018-2025 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
//

#pragma once

#include "openvino/op/op.hpp"

namespace ov {
namespace op {
namespace v1 {
/// \brief BatchToSpace permutes data from the batch dimension of the data tensor into
///        spatial dimensions.
///
/// \note  Values from the batch dimension are moved in spatial blocks dimensions.
///
///        Output node produces a tensor with shape:
///        `[batch / (block_shape[0] * block_shape[1] * ... * block_shape[N - 1]),
///         D_1 * block_shape[1] - crops_begin[1] - crops_end[1],
///         D_2 * block_shape[2] - crops_begin[2] - crops_end[2], ...,
///         D_{N - 1} * block_shape[N - 1] - crops_begin[N - 1] - crops_end[N - 1]`
///         of the same type as `data` input.
/// \ingroup ov_ops_cpp_api
class OPENVINO_API BatchToSpace : public Op {
public:
    OPENVINO_OP("BatchToSpace", "opset2", op::Op);
    BatchToSpace() = default;
    /// \brief Constructs a BatchToSpace operation.
    ///
    /// \param data Node producing the data tensor
    /// \param block_shape The sizes of the block of values to be moved
    /// \param crops_begin Specifies the amount to crop from the beginning along each
    /// axis of `data` input
    /// \param crops_end Specifies the amount to crop from the ending along each axis of
    /// `data` input.
    BatchToSpace(const Output<Node>& data,
                 const Output<Node>& block_shape,
                 const Output<Node>& crops_begin,
                 const Output<Node>& crops_end);
    bool evaluate(TensorVector& outputs, const TensorVector& inputs) const override;
    bool has_evaluate() const override;

    void validate_and_infer_types() override;
    std::shared_ptr<Node> clone_with_new_inputs(const OutputVector& new_args) const override;
    bool visit_attributes(AttributeVisitor& visitor) override;
};
}  // namespace v1
}  // namespace op
}  // namespace ov