55 lines
1.6 KiB
C++
55 lines
1.6 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 <memory>
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#include <vector>
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#include "openvino/op/op.hpp"
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namespace ov {
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namespace op {
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namespace v1 {
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/// \brief Splits the input tensor into a list of equal sized tensors
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/// \ingroup ov_ops_cpp_api
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class OPENVINO_API Split : public Op {
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public:
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OPENVINO_OP("Split", "opset1", op::Op);
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/// \brief Constructs a split operation.
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Split() = default;
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/// \brief Constructs a split operation.
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/// \param data The tensor to be split.
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/// \param axis The index of an axis in "data" along which to perform
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/// the split.
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/// \param num_splits The number of pieces that the data tensor should be
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/// split into.
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Split(const Output<Node>& data, const Output<Node>& axis, const size_t num_splits);
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bool visit_attributes(AttributeVisitor& visitor) override;
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void validate_and_infer_types() override;
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std::shared_ptr<Node> clone_with_new_inputs(const OutputVector& new_args) const override;
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size_t get_num_splits() const {
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return m_num_splits;
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}
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void set_num_splits(const size_t num_splits) {
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m_num_splits = num_splits;
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}
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bool evaluate(TensorVector& outputs, const TensorVector& inputs) 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 has_evaluate() const override;
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bool evaluate_symbol(TensorSymbolVector& output_symbols) const override;
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protected:
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size_t m_num_splits;
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};
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} // namespace v1
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} // namespace op
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} // namespace ov
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