/// <amd-module name="@tensorflow/tfjs-core/dist/ops/multi_rnn_cell" />
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/**
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* @license
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* Copyright 2020 Google LLC. All Rights Reserved.
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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* =============================================================================
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*/
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import { Tensor2D } from '../tensor';
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import { TensorLike } from '../types';
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/**
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* @docalias (data: Tensor2D, c: Tensor2D, h: Tensor2D): [Tensor2D, Tensor2D]
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*/
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export type LSTMCellFunc = {
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(data: Tensor2D, c: Tensor2D, h: Tensor2D): [Tensor2D, Tensor2D];
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};
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/**
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* Computes the next states and outputs of a stack of LSTMCells.
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*
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* Each cell output is used as input to the next cell.
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*
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* Returns `[cellState, cellOutput]`.
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*
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* Derived from tf.contrib.rn.MultiRNNCell.
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*
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* @param lstmCells Array of LSTMCell functions.
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* @param data The input to the cell.
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* @param c Array of previous cell states.
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* @param h Array of previous cell outputs.
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*
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* @doc {heading: 'Operations', subheading: 'RNN'}
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*/
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declare function multiRNNCell_(lstmCells: LSTMCellFunc[], data: Tensor2D | TensorLike, c: Array<Tensor2D | TensorLike>, h: Array<Tensor2D | TensorLike>): [Tensor2D[], Tensor2D[]];
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export declare const multiRNNCell: typeof multiRNNCell_;
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export {};
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