gru_sequence.hpp

// Copyright (C) 2018-2021 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
//
 
#pragma once
 
#include <memory>
#include <string>
#include <vector>
 
#include "ngraph/op/op.hpp"
#include "ngraph/op/util/rnn_cell_base.hpp"
 
namespace ngraph
{
    namespace op
    {
        namespace v5
        {
            class NGRAPH_API GRUSequence : public util::RNNCellBase
            {
            public:
                NGRAPH_RTTI_DECLARATION;
                GRUSequence();
 
                GRUSequence(const Output<Node>& X,
                            const Output<Node>& H_t,
                            const Output<Node>& sequence_lengths,
                            const Output<Node>& W,
                            const Output<Node>& R,
                            const Output<Node>& B,
                            size_t hidden_size,
                            op::RecurrentSequenceDirection direction,
                            const std::vector<std::string>& activations =
                                std::vector<std::string>{"sigmoid", "tanh"},
                            const std::vector<float>& activations_alpha = {},
                            const std::vector<float>& activations_beta = {},
                            float clip = 0.f,
                            bool linear_before_reset = false);
 
                std::shared_ptr<Node>
                    clone_with_new_inputs(const OutputVector& new_args) const override;
 
                void validate_and_infer_types() override;
 
                bool visit_attributes(AttributeVisitor& visitor) override;
                bool get_linear_before_reset() const { return m_linear_before_reset; }
                op::RecurrentSequenceDirection get_direction() const { return m_direction; }
 
            protected:
                op::RecurrentSequenceDirection m_direction;
                bool m_linear_before_reset;
            };
        } // namespace v5
    }     // namespace op
} // namespace ngraph