// Copyright (C) 2018-2025 Intel Corporation // SPDX-License-Identifier: Apache-2.0 // #pragma once #include "openvino/op/op.hpp" namespace ov { namespace op { namespace util { // clang-format off /// \brief Abstract base class for elementwise binary logical operations, i.e., /// operations where the same scalar binary logical operation is applied to /// each corresponding pair of elements in two boolean input tensors. Implicit /// broadcast of input tensors is supported through one of the AutoBroadcast /// modes. /// /// For example, if the underlying operation (determined by the subclass) is /// \f$\mathit{op}(x,y)\f$, the input tensors \f$[[x_0,y_0],[z_0,w_0]]\f$ and /// \f$[[x_1,y_1],[z_1,w_1]]\f$ will be mapped to /// \f$[[\mathit{op}(x_0,x_1),\mathit{op}(y_0,y_1)],[\mathit{op}(z_0,z_1),\mathit{op}(w_0,w_1)]]\f$. /// /// ## Inputs /// /// | | Type | Description | /// | ------ | --------------------------------------------- | ------------------------------------------------------ | /// | `arg0` | \f$\texttt{bool}[d_1,\dots,d_n]~(n \geq 0)\f$ | A tensor of any shape, with element type `bool`. | /// | `arg1` | \f$\texttt{bool}[d_1,\dots,d_n]~(n \geq 0)\f$ | A tensor of the same shape and element type as `arg0`. | /// | `autob`| AutoBroadcastSpec | Auto broadcast specification. | /// /// ## Output /// /// | Type | Description | /// | ---------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | /// | \f$\texttt{bool}[d_1,\dots,d_n]\f$ | The tensor \f$T\f$, where \f$T[i_1,\dots,i_n] = \mathit{op}(\texttt{arg0}[i_1,\dots,i_n],\texttt{arg1}[i_1,\dots,i_n])\f$. This will always have the same shape as the input tensors, and the element type `bool`. | // clang-format on class OPENVINO_API BinaryElementwiseLogical : public Op { protected: BinaryElementwiseLogical(); /// \brief Constructs a binary elementwise logical operation. /// /// \param arg0 Output that produces the first input tensor. /// \param arg1 Output that produces the second input tensor. BinaryElementwiseLogical(const Output& arg0, const Output& arg1, const AutoBroadcastSpec& autob = AutoBroadcastSpec()); public: OPENVINO_OP("BinaryElementwiseLogical", "util"); void validate_and_infer_types() override; const AutoBroadcastSpec& get_autob() const override { return m_autob; } void set_autob(const AutoBroadcastSpec& autob) { m_autob = autob; } bool visit_attributes(AttributeVisitor& visitor) override; private: AutoBroadcastSpec m_autob = AutoBroadcastType::NUMPY; }; } // namespace util } // namespace op } // namespace ov