55 lines
1.8 KiB
C++
55 lines
1.8 KiB
C++
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// Copyright (C) 2018-2025 Intel Corporation
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// SPDX-License-Identifier: Apache-2.0
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//
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#pragma once
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#include "openvino/op/op.hpp"
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#include "openvino/op/util/unary_elementwise_arithmetic.hpp"
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namespace ov {
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namespace op {
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namespace v0 {
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/// \brief Elementwise type conversion operation.
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/// \ingroup ov_ops_cpp_api
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class OPENVINO_API Convert : public Op {
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public:
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OPENVINO_OP("Convert", "opset1");
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/// \brief Constructs a conversion operation.
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Convert() = default;
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/// \brief Constructs a conversion operation.
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///
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/// \param arg Node that produces the input tensor.
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/// \param destination_type Element type for the output tensor.
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Convert(const Output<Node>& arg, const ov::element::Type& destination_type);
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void validate_and_infer_types() override;
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bool visit_attributes(AttributeVisitor& visitor) override;
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std::shared_ptr<Node> clone_with_new_inputs(const OutputVector& new_args) const override;
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const element::Type& get_destination_type() const {
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return m_destination_type;
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}
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void set_destination_type(const element::Type& destination_type) {
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m_destination_type = destination_type;
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}
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const element::Type& get_convert_element_type() const {
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return m_destination_type;
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}
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void set_convert_element_type(const element::Type& destination_type) {
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m_destination_type = destination_type;
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}
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bool evaluate(TensorVector& outputs, const TensorVector& inputs) const override;
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bool has_evaluate() const override;
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bool evaluate_lower(TensorVector& outputs) const override;
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bool evaluate_upper(TensorVector& outputs) const override;
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bool evaluate_symbol(TensorSymbolVector& output_symbols) const override;
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protected:
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ov::element::Type m_destination_type;
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};
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} // namespace v0
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} // namespace op
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} // namespace ov
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