80 lines
3.4 KiB
C++
80 lines
3.4 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 <functional>
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#include <map>
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#include "openvino/core/any.hpp"
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#include "openvino/frontend/extension/decoder_transformation.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/tensorflow_lite/extension/conversion.hpp"
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#include "openvino/frontend/tensorflow_lite/node_context.hpp"
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#include "openvino/frontend/tensorflow_lite/visibility.hpp"
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namespace ov {
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namespace frontend {
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namespace tensorflow_lite {
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using CreatorFunction = std::function<ov::OutputVector(const ov::frontend::tensorflow_lite::NodeContext&)>;
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using TranslatorDictionaryType = std::map<std::string, CreatorFunction>;
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class TENSORFLOW_LITE_FRONTEND_API FrontEnd : public ov::frontend::FrontEnd {
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public:
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FrontEnd();
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/// \brief Completely convert the model
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/// \return fully converted ov Model
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std::shared_ptr<ov::Model> convert(const ov::frontend::InputModel::Ptr& model) const override;
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/// \brief Completely convert the remaining, not converted part of a function.
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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 ov::frontend::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 TFLite 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 ov::frontend::InputModel::Ptr& model) const override;
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/// \brief Runs normalization passes on function 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>& function) const override;
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/// \brief Gets name of this FrontEnd. Can be used by clients
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std::string get_name() const override {
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return "tflite";
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}
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void add_extension(const std::shared_ptr<ov::Extension>& extension) override;
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protected:
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/// \brief Check if FrontEndTensorflowLite can recognize model from given parts
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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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void translate_graph(const ov::frontend::InputModel::Ptr& model,
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bool fail_fast,
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bool no_conversion,
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std::shared_ptr<ov::Model>& ng_function) const;
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TelemetryExtension::Ptr m_telemetry;
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std::vector<DecoderTransformationExtension::Ptr> m_transformation_extensions;
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std::vector<ConversionExtensionBase::Ptr> m_conversion_extensions;
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TranslatorDictionaryType m_op_translators;
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};
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} // namespace tensorflow_lite
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} // namespace frontend
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} // namespace ov
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