// Copyright (C) 2018-2025 Intel Corporation // SPDX-License-Identifier: Apache-2.0 // #pragma once #include "openvino/op/util/shape_of_base.hpp" namespace ov { namespace op { namespace v3 { /// \brief Operation that returns the shape of its input argument as a tensor. /// \ingroup ov_ops_cpp_api class OPENVINO_API ShapeOf : public util::ShapeOfBase { public: OPENVINO_OP("ShapeOf", "opset3", util::ShapeOfBase); ShapeOf() = default; /// \brief Constructs a shape-of operation. ShapeOf(const Output& arg, const element::Type output_type = element::i64); bool visit_attributes(AttributeVisitor& visitor) override; std::shared_ptr clone_with_new_inputs(const OutputVector& new_args) const override; void validate_and_infer_types() override; element::Type get_output_type() const { return m_output_type; } void set_output_type(element::Type output_type) { m_output_type = output_type; } // Overload collision with method on Node using Node::set_output_type; bool has_evaluate() const override; bool evaluate(TensorVector& output_values, const TensorVector& input_values) const override; bool evaluate_lower(TensorVector& output_values) const override; bool evaluate_upper(TensorVector& output_values) const override; bool evaluate_symbol(TensorSymbolVector& output_symbols) const override; bool constant_fold(OutputVector& output_values, const OutputVector& input_values) override; bool can_constant_fold(const OutputVector& inputs_values) const override; private: element::Type m_output_type; }; } // namespace v3 namespace v0 { /// \brief Operation that returns the shape of its input argument as a tensor. /// \ingroup ov_ops_cpp_api class OPENVINO_API ShapeOf : public util::ShapeOfBase { public: OPENVINO_OP("ShapeOf", "opset1", util::ShapeOfBase); ShapeOf() = default; /// \brief Constructs a shape-of operation. ShapeOf(const Output& arg); std::shared_ptr clone_with_new_inputs(const OutputVector& new_args) const override; void validate_and_infer_types() override; bool has_evaluate() const override; bool evaluate(TensorVector& output_values, const TensorVector& input_values) const override; bool evaluate_lower(TensorVector& output_values) const override; bool evaluate_upper(TensorVector& output_values) const override; bool evaluate_symbol(TensorSymbolVector& output_symbols) const override; bool constant_fold(OutputVector& output_values, const OutputVector& input_values) override; bool can_constant_fold(const OutputVector& inputs_values) const override; }; } // namespace v0 } // namespace op } // namespace ov