74 lines
3.5 KiB
C++
74 lines
3.5 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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// clang-format off
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/// \brief Elementwise selection 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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/// | `arg0` | \f$\texttt{bool}[d_1,\dots,d_n]~(n \geq 0)\f$ | A tensor of any shape, with element `bool`. |
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/// | `arg1` | \f$E[d_1,\dots,d_n]~(n \geq 0)\f$ | A tensor of a shape that is broadcast-compatible with `arg0`, with any element type. |
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/// | `arg2` | \f$E[d_1,\dots,d_n]~(n \geq 0)\f$ | A tensor of a shape that is broadcast-compatible with `arg0`, and same element type as `arg1`. |
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/// | `auto_broadcast`| AutoBroadcastSpec | Auto broadcast specification. |
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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$E[d_1,\dots,d_n]\f$ | The tensor \f$T\f$, where \f$T[i_1,\dots,i_n] = \texttt{arg1}[i_1,\dots,i_n]\text{ if }\texttt{arg0}[i_1,\dots,i_n] \neq 0\text{, else }\texttt{arg2}[i_1,\dots,i_n]\f$ |
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/// \ingroup ov_ops_cpp_api
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// clang-format on
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class OPENVINO_API Select : public Op {
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public:
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OPENVINO_OP("Select", "opset1", op::Op);
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/// \brief Constructs a selection operation.
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Select() : m_auto_broadcast(AutoBroadcastSpec(AutoBroadcastType::NUMPY)) {}
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/// \brief Constructs a selection 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 arg2 Node that produces the third input tensor.
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/// \param auto_broadcast Auto broadcast specification. Default is Numpy-style
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/// implicit broadcasting.
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Select(const Output<Node>& arg0,
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const Output<Node>& arg1,
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const Output<Node>& arg2,
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const AutoBroadcastSpec& auto_broadcast = AutoBroadcastSpec(AutoBroadcastType::NUMPY));
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std::shared_ptr<Node> clone_with_new_inputs(const OutputVector& new_args) const override;
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bool visit_attributes(AttributeVisitor& visitor) override;
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void validate_and_infer_types() override;
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const AutoBroadcastSpec& get_auto_broadcast() const {
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return m_auto_broadcast;
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}
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void set_auto_broadcast(const AutoBroadcastSpec& auto_broadcast) {
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m_auto_broadcast = auto_broadcast;
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}
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// TODO: Move all uses of get_autob to get_auto_broadcast() and remove this.
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const AutoBroadcastSpec& get_autob() const override {
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return m_auto_broadcast;
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}
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bool evaluate(TensorVector& outputs, const TensorVector& inputs) const override;
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bool evaluate_upper(TensorVector& outputs) const override;
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bool evaluate_lower(TensorVector& outputs) const override;
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bool has_evaluate() const override;
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private:
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AutoBroadcastSpec m_auto_broadcast;
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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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