48 lines
1.6 KiB
C++
48 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 "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 Tensor transpose operation.
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/// \ingroup ov_ops_cpp_api
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class OPENVINO_API Transpose : public Op {
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public:
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OPENVINO_OP("Transpose", "opset1", op::Op);
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Transpose() = default;
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///
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/// \brief Constructs a transpose operation.
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///
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/// \param arg Node producing the tensor to be transposed.
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/// \param input_order Node producing the permutation to apply to the axes
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/// of the input shape. Must be a vector with shape [n],
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/// where n is the rank of arg. The tensor's value must
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/// contain every integer in the range [0, n-1].
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///
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Transpose(const Output<Node>& arg, const Output<Node>& input_order);
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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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bool evaluate(TensorVector& outputs, const TensorVector& inputs) const override;
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bool evaluate_upper(TensorVector& output_values) const override;
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bool evaluate_lower(TensorVector& output_values) 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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/// \brief Inputs indexes and count.
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enum Ins : size_t { ARG, ORDER, IN_COUNT };
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/// \brief Outputs indexes and count.
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enum Outs : size_t { ARG_T, OUT_COUNT };
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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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