// Copyright (C) 2018-2025 Intel Corporation // SPDX-License-Identifier: Apache-2.0 // #pragma once #include "openvino/op/util/binary_elementwise_arithmetic.hpp" namespace ov { namespace op { namespace v1 { // clang-format off /// \brief Elementwise exponentiation operation. /// /// ## Inputs /// /// | | Type | Description | /// | ------ | --------------------------------- | ------------------------------------------------------ | /// | `arg0` | \f$N[d_1,\dots,d_n]~(n \geq 0)\f$ | A tensor of any shape and numeric element type. | /// | `arg1` | \f$N[d_1,\dots,d_n]~(n \geq 0)\f$ | A tensor of the same shape and element type as `arg0`. | /// /// ## Output /// /// | Type | Description | /// | ---------------------- | -------------------------------------------------------------------------------------------------------------- | /// | \f$N[d_1,\dots,d_n]\f$ | The tensor \f$T\f$, where \f$T[i_1,\dots,i_n] = \texttt{arg0}[i_1,\dots,i_n]^{\texttt{arg1}[i_1,\dots,i_n]}\f$ | /// \ingroup ov_ops_cpp_api // clang-format on class OPENVINO_API Power : public util::BinaryElementwiseArithmetic { public: OPENVINO_OP("Power", "opset1", op::util::BinaryElementwiseArithmetic); Power() : util::BinaryElementwiseArithmetic(AutoBroadcastType::NUMPY) {} /// \brief Constructs an exponentiation operation. /// /// \param arg0 Node that produces the first input tensor. /// \param arg1 Node that produces the second input tensor. /// \param auto_broadcast Auto broadcast specification Power(const Output& arg0, const Output& arg1, const AutoBroadcastSpec& auto_broadcast = AutoBroadcastSpec(AutoBroadcastType::NUMPY)); std::shared_ptr clone_with_new_inputs(const OutputVector& new_args) const override; bool evaluate(TensorVector& outputs, const TensorVector& inputs) const override; bool has_evaluate() const override; }; } // namespace v1 } // namespace op } // namespace ov