47 lines
1.7 KiB
C++
47 lines
1.7 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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namespace ov {
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namespace op {
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namespace v1 {
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/// \brief VariadicSplit operation splits an input tensor into pieces along some axis.
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/// The pieces may have variadic lengths depending on "split_lengths" attribute.
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/// \ingroup ov_ops_cpp_api
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class OPENVINO_API VariadicSplit : public Op {
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public:
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OPENVINO_OP("VariadicSplit", "opset1", op::Op);
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/// \brief Constructs a variadic split operation.
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VariadicSplit() = default;
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/// \brief Constructs a variadic split operation.
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///
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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 the
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/// split.
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/// \param split_lengths A list containing the sizes of each output tensor
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/// along the split "axis". Size of "split_lengths" should be equal to the number of
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///
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/// outputs. The sum of split_lengths must match data.shape[axis]
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VariadicSplit(const Output<Node>& data, const Output<Node>& axis, const Output<Node>& split_lengths);
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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_default_output_index() const override {
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return no_default_index();
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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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};
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} // namespace v1
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} // namespace op
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} // namespace ov
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