85 lines
3.4 KiB
C++
85 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 "openvino/op/util/scatter_nd_base.hpp"
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namespace ov {
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namespace op {
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namespace v3 {
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/// \brief Add updates to slices from inputs addressed by indices
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/// \ingroup ov_ops_cpp_api
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class OPENVINO_API ScatterNDUpdate : public util::ScatterNDBase {
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public:
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OPENVINO_OP("ScatterNDUpdate", "opset4", util::ScatterNDBase);
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ScatterNDUpdate() = default;
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/// \param inputs Tensor
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/// \param indices Index tensor: Data type must be `element::i32` or `element::i64`
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/// \param updates Tensor: Must have same type as inputs
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ScatterNDUpdate(const Output<Node>& inputs, const Output<Node>& indices, const Output<Node>& updates)
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: util::ScatterNDBase(inputs, indices, updates) {}
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std::shared_ptr<Node> clone_with_new_inputs(const OutputVector& new_args) const override;
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bool evaluate(TensorVector& outputs, const TensorVector& inputs) const override;
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bool evaluate_lower(TensorVector& output_values) const override;
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bool evaluate_upper(TensorVector& output_values) const override;
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bool evaluate_symbol(TensorSymbolVector& output_symbols) const override;
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bool has_evaluate() const override;
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};
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} // namespace v3
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namespace v15 {
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/// \brief Add updates to slices from inputs addressed by indices
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/// \ingroup ov_ops_cpp_api
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class OPENVINO_API ScatterNDUpdate : public util::ScatterNDBase {
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public:
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OPENVINO_OP("ScatterNDUpdate", "opset15", util::ScatterNDBase);
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/// \brief Lists the supported reduction types for this version of the operator.
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/// See the specification for the description of how reduction works with ScatterNDUpdate.
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enum class Reduction { NONE, SUM, SUB, PROD, MIN, MAX };
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ScatterNDUpdate() = default;
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/// \param inputs Tensor
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/// \param indices Index tensor: Data type must be `element::i32` or `element::i64`
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/// \param updates Tensor: Must have same type as inputs
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/// \param reduction Reduction: Type of operation to perform on inputs
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ScatterNDUpdate(const Output<Node>& inputs,
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const Output<Node>& indices,
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const Output<Node>& updates,
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const Reduction reduction = Reduction::NONE);
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std::shared_ptr<Node> clone_with_new_inputs(const OutputVector& new_args) const override;
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bool visit_attributes(AttributeVisitor& visitor) override;
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bool evaluate(TensorVector& outputs, const TensorVector& inputs) const override;
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bool evaluate_lower(TensorVector& output_values) const override;
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bool evaluate_upper(TensorVector& output_values) const override;
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bool evaluate_symbol(TensorSymbolVector& output_symbols) const override;
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bool has_evaluate() const override;
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Reduction get_reduction() const;
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void set_reduction(const Reduction reduction);
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private:
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Reduction m_reduction = Reduction::NONE;
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};
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} // namespace v15
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} // namespace op
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OPENVINO_API
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std::ostream& operator<<(std::ostream& s, const op::v15::ScatterNDUpdate::Reduction& reduction);
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template <>
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class OPENVINO_API AttributeAdapter<op::v15::ScatterNDUpdate::Reduction>
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: public EnumAttributeAdapterBase<op::v15::ScatterNDUpdate::Reduction> {
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public:
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AttributeAdapter(op::v15::ScatterNDUpdate::Reduction& value)
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: EnumAttributeAdapterBase<op::v15::ScatterNDUpdate::Reduction>(value) {}
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~AttributeAdapter() override;
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OPENVINO_RTTI("AttributeAdapter<v15::ScatterNDUpdate::Reduction>");
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};
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} // namespace ov
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