45 lines
1.6 KiB
C++
45 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 "openvino/op/util/unary_elementwise_arithmetic.hpp"
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namespace ov {
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namespace op {
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namespace v0 {
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// clang-format off
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/// \brief Elementwise sine operation.
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///
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/// ## Inputs
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///
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/// | | Type | Description |
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/// | ----- | --------------------------------- | ----------------------------------------------- |
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/// | `arg` | \f$N[d_1,\dots,d_n]~(n \geq 0)\f$ | A tensor of any shape and numeric element type. |
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///
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/// ## Output
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///
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/// | Type | Description |
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/// | ---------------------- | ------------------------------------------------------------------------------------ |
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/// | \f$N[d_1,\dots,d_n]\f$ | The tensor \f$T\f$, where \f$T[i_1,\dots,i_n] = \sin(\texttt{arg}[i_1,\dots,i_n])\f$ |
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/// \ingroup ov_ops_cpp_api
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// clang-format on
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class OPENVINO_API Sin : public util::UnaryElementwiseArithmetic {
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public:
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OPENVINO_OP("Sin", "opset1", util::UnaryElementwiseArithmetic);
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/// \brief Constructs a sine operation.
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///
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/// \param arg Node that produces the input tensor.
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Sin(const Output<Node>& arg);
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Sin() = default;
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bool visit_attributes(AttributeVisitor& visitor) 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 has_evaluate() const override;
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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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