broadcast_base.hpp

// Copyright (C) 2018-2021 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
//
 
#include "ngraph/axis_set.hpp"
#include "ngraph/axis_vector.hpp"
#include "ngraph/op/op.hpp"
#include "ngraph/op/util/attr_types.hpp"
 
#pragma once
 
namespace ngraph
{
    namespace op
    {
        namespace util
        {
            class NGRAPH_API BroadcastBase : public Op
            {
            protected:
                BroadcastBase() = default;
                /// \brief Constructs a broadcast operation.
                ///
                /// \param arg            The input tensor to be broadcast.
                /// \param target_shape   The shape of the output tensor.
                /// \param axes_mapping   The axis positions (0-based) in the result that correspond
                ///                       to input axes.
                /// \param broadcast_mode Broadcast specification to use for determining broadcast
                ///                       axes. 'axes_mapping' should not be provided if mode other
                ///
                BroadcastBase(const Output<Node>& arg,
                              const Output<Node>& target_shape,
                              const Output<Node>& axes_mapping,
                              const BroadcastModeSpec& broadcast_mode = BroadcastType::EXPLICIT);
 
                /// \brief Constructs a broadcast operation.
                ///
                /// \param arg            The input tensor to be broadcast.
                /// \param target_shape   The shape of the output tensor.
                /// \param broadcast_mode Broadcast specification to use for determining broadcast
                ///                       axes
                BroadcastBase(const Output<Node>& arg,
                              const Output<Node>& target_shape,
                              const BroadcastModeSpec& broadcast_mode = BroadcastType::NUMPY);
 
            public:
                void validate_and_infer_types() override;
                /// \return true and the AxisSet if broadcast axes can be fully determined.
                virtual std::pair<bool, AxisSet> get_broadcast_axes() const;
 
                bool evaluate(const HostTensorVector& outputs,
                              const HostTensorVector& inputs) const override;
 
            protected:
                BroadcastModeSpec m_mode;
 
                bool evaluate_broadcast(const HostTensorPtr& arg0,
                                        const HostTensorPtr& out,
                                        const std::pair<bool, AxisSet> pair_broadcast_axes,
                                        const Shape output_shape) const;
 
                bool evaluate_broadcast(const HostTensorPtr& arg0,
                                        const HostTensorPtr& out,
                                        const AxisSet& broadcast_axes) const;
 
                bool evaluate_lower(const HostTensorVector& outputs) const override;
                bool evaluate_upper(const HostTensorVector& outputs) const override;
 
                PartialShape
                    get_result_shape_pdpd(const PartialShape& arg0_shape,
                                          const PartialShape& target_shape,
                                          const op::BroadcastModeSpec& broadcast_spec) const;
 
                void validate_target_shape_numpy(const PartialShape& arg_shape,
                                                 const PartialShape& target_shape) const;
 
                static std::pair<bool, AxisSet>
                    get_broadcast_axes_numpy_pdpd(const Shape& arg_shape,
                                                  const Shape& result_shape,
                                                  const op::BroadcastModeSpec& broadcast_spec);
 
                static std::pair<bool, AxisSet>
                    get_broadcast_axes_none(const AxisVector axes_mapping_val,
                                            const size_t target_shape);
 
                void validate_target_shape_none(const PartialShape& arg_shape,
                                                const AxisVector& axes_mapping_val,
                                                const PartialShape& target_shape) const;
 
                Shape get_target_shape(const HostTensorPtr& input1) const;
            };
        } // namespace util
    }     // namespace op
} // namespace ngraph