75 lines
3.0 KiB
C++
75 lines
3.0 KiB
C++
// 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/frontend/extension/conversion.hpp"
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#include "openvino/frontend/extension/telemetry.hpp"
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#include "openvino/frontend/frontend.hpp"
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#include "openvino/frontend/pytorch/node_context.hpp"
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#include "openvino/frontend/pytorch/visibility.hpp"
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namespace ov {
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namespace frontend {
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namespace pytorch {
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class PYTORCH_FRONTEND_API FrontEnd : public ov::frontend::FrontEnd {
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public:
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using Ptr = std::shared_ptr<FrontEnd>;
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FrontEnd();
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/// \brief Completely convert and normalize entire Model, throws if it is not possible
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/// \param model Input model
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/// \return fully converted OV Model
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std::shared_ptr<Model> convert(const ov::frontend::InputModel::Ptr& model) const override;
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/// \brief Completely convert the remaining, not converted part of a Model.
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/// \param partiallyConverted partially converted OV Model
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void convert(const std::shared_ptr<Model>& partiallyConverted) const override;
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/// \brief Convert only those parts of the model that can be converted leaving others
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/// as-is. Converted parts are not normalized by additional transformations; normalize
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/// function or another form of convert function should be called to finalize the
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/// conversion process.
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/// \param model Input model
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/// \return partially converted OV Model
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std::shared_ptr<Model> convert_partially(const InputModel::Ptr& model) const override;
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/// \brief Convert operations with one-to-one mapping with decoding nodes.
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/// Each decoding node is an OV node representing a single FW operation node with
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/// all attributes represented in FW-independent way.
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/// \param model Input model
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/// \return OV Model after decoding
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std::shared_ptr<Model> decode(const InputModel::Ptr& model) const override;
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/// \brief Runs normalization passes on Model that was loaded with partial conversion
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/// \param Model partially converted OV Model
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void normalize(const std::shared_ptr<ov::Model>& model) const override;
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/// \brief Gets name of this FrontEnd. Can be used by clients
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/// if frontend is selected automatically by FrontEndManager::load_by_model
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/// \return Paddle frontend name.
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std::string get_name() const override {
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return "pytorch";
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}
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/// \brief Register base extension in the FrontEnd
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/// \param extension base extension
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void add_extension(const std::shared_ptr<ov::Extension>& extension) override;
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protected:
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bool supported_impl(const std::vector<ov::Any>& variants) const override;
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ov::frontend::InputModel::Ptr load_impl(const std::vector<ov::Any>& variants) const override;
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std::unordered_map<std::string, CreatorFunction> get_supported_ops(
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const ov::frontend::InputModel::Ptr& model) const;
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std::map<std::string, CreatorFunction> m_op_extension_translators;
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std::vector<ConversionExtensionBase::Ptr> m_conversion_extensions;
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TelemetryExtension::Ptr m_telemetry;
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};
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} // namespace pytorch
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} // namespace frontend
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} // namespace ov
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