59 lines
2.1 KiB
C++
59 lines
2.1 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/util/binary_elementwise_arithmetic.hpp"
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namespace ov {
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namespace op {
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namespace v1 {
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/// \brief Elementwise division operation.
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/// \ingroup ov_ops_cpp_api
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class OPENVINO_API Divide : public util::BinaryElementwiseArithmetic {
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public:
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OPENVINO_OP("Divide", "opset1", util::BinaryElementwiseArithmetic);
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/// \brief Constructs a division operation.
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Divide() : util::BinaryElementwiseArithmetic(AutoBroadcastType::NUMPY) {}
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/// \brief Constructs a division operation.
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///
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/// \param arg0 Node that produces the first input tensor.
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/// \param arg1 Node that produces the second input tensor.
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/// \param pythondiv Use Python style rounding for integral type
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/// \param auto_broadcast Auto broadcast specification
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Divide(const Output<Node>& arg0,
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const Output<Node>& arg1,
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bool pythondiv,
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const AutoBroadcastSpec& auto_broadcast = AutoBroadcastSpec(AutoBroadcastType::NUMPY));
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/// \brief Constructs a division operation.
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///
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/// \param arg0 Node that produces the first input tensor.
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/// \param arg1 Node that produces the second input tensor.
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/// \param auto_broadcast Auto broadcast specification
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Divide(const Output<Node>& arg0,
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const Output<Node>& arg1,
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const AutoBroadcastSpec& auto_broadcast = AutoBroadcastSpec(AutoBroadcastType::NUMPY));
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bool visit_attributes(AttributeVisitor& visitor) override;
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bool is_pythondiv() const {
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return m_pythondiv;
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}
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void set_is_pythondiv(bool pythondiv) {
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m_pythondiv = pythondiv;
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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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bool evaluate(TensorVector& outputs, const TensorVector& inputs) const override;
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bool has_evaluate() 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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protected:
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bool m_pythondiv{true};
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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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