non_zero.hpp

// Copyright (C) 2018-2021 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
//
 
#pragma once
 
#include "ngraph/op/op.hpp"
 
namespace ngraph
{
    namespace op
    {
        namespace v3
        {
            /// \brief NonZero operation returning indices of non-zero elements in the input tensor.
            ///
            /// \note The indices are returned by-dimension in row-major order. For example
            ///       the following output contains 3 indices of a 3D input tensor elements:
            ///       [[0, 0, 2],
            ///        [0, 1, 1],
            ///        [0, 1, 2]]
            ///       The values point to input elements at [0,0,0], [0,1,1] and [2,1,2]
            class NGRAPH_API NonZero : public Op
            {
            public:
                static constexpr NodeTypeInfo type_info{"NonZero", 3};
                const NodeTypeInfo& get_type_info() const override { return type_info; }
                /// \brief Constructs a NonZero operation.
                NonZero() = default;
                /// \brief Constructs a NonZero operation.
                ///
                /// \note The output type is int64.
                ///
                /// \param arg Node that produces the input tensor.
                NonZero(const Output<Node>& arg);
                /// \brief Constructs a NonZero operation.
                ///
                /// \param arg Node that produces the input tensor.
                /// \param output_type produce indices. Currently, only 'int64' or 'int32'
                /// are
                ///                           supported
                NonZero(const Output<Node>& arg, const std::string& output_type);
                /// \brief Constructs a NonZero operation.
                ///
                /// \param arg Node that produces the input tensor.
                /// \param output_type produce indices. Currently, only int64 or int32 are
                ///                           supported
                NonZero(const Output<Node>& arg, const element::Type& output_type);
 
                bool visit_attributes(AttributeVisitor& visitor) override;
                void validate_and_infer_types() override;
 
                virtual std::shared_ptr<Node>
                    clone_with_new_inputs(const OutputVector& new_args) const override;
 
                element::Type get_output_type() const { return m_output_type; }
                void set_output_type(element::Type output_type) { m_output_type = output_type; }
                // Overload collision with method on Node
                using Node::set_output_type;
 
                bool evaluate(const HostTensorVector& outputs,
                              const HostTensorVector& inputs) const override;
                bool has_evaluate() const override;
 
            protected:
                element::Type m_output_type = element::i64;
            };
        } // namespace v3
        using v3::NonZero;
    } // namespace op
} // namespace ngraph