59 lines
1.6 KiB
C++
59 lines
1.6 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 <memory>
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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 v0 {
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/// \brief Permutes data in the channel dimension of the input
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/// \ingroup ov_ops_cpp_api
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class OPENVINO_API ShuffleChannels : public Op {
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public:
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OPENVINO_OP("ShuffleChannels", "opset1");
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ShuffleChannels() = default;
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/// \brief Constructs a ShuffleChannels node.
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///
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/// \param data Node producing the input tensor.
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/// \param axis Channel dimension index in the data tensor.
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/// A negative value means that the index should be
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/// calculated from the back of the input data shape.
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/// \param group Number of group the channel dimension should be split into.
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///
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ShuffleChannels(const Output<Node>& data, const int64_t axis = 1, const int64_t group = 1);
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bool visit_attributes(AttributeVisitor& visitor) override;
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size_t get_zero_based_axis() const;
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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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void set_axis(int64_t axis);
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const int64_t& get_axis() const {
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return m_axis;
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}
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void set_group(int64_t group);
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const int64_t& get_group() const {
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return m_group;
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}
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bool evaluate(TensorVector& outputs, const TensorVector& inputs) const override;
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bool has_evaluate() const override;
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private:
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int64_t m_axis{1};
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int64_t m_group{1};
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};
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} // namespace v0
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} // namespace op
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} // namespace ov
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