57 lines
1.6 KiB
C++
57 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 v12 {
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/// \brief GroupNormalization operation over the input tensor.
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///
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/// \ingroup ov_ops_cpp_api
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class OPENVINO_API GroupNormalization : public Op {
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public:
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OPENVINO_OP("GroupNormalization", "opset12");
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GroupNormalization();
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/// \param data The input tensor to be normalized
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/// \param scale The tensor containing scale values for each channel
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/// \param bias The tensor containing bias values for each channel
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/// \param num_groups The number of groups that the channel dimension will be divided into
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/// \param epsilon The value that prevents divisions by zero in GroupNormalization formula
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GroupNormalization(const Output<Node>& data,
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const Output<Node>& scale,
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const Output<Node>& bias,
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int64_t num_groups,
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double epsilon);
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bool visit_attributes(AttributeVisitor& visitor) override;
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void validate_and_infer_types() override;
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int64_t get_num_groups() const {
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return m_num_groups;
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}
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void set_num_groups(int64_t num_groups) {
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m_num_groups = num_groups;
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}
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double get_epsilon() const {
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return m_epsilon;
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}
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void set_epsilon(double epsilon) {
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m_epsilon = epsilon;
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}
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std::shared_ptr<Node> clone_with_new_inputs(const OutputVector& new_args) const override;
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private:
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int64_t m_num_groups;
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double m_epsilon;
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};
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} // namespace v12
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} // namespace op
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} // namespace ov
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