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 * Copyright (c) 2015-2019 Skymind, Inc.
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 * This program and the accompanying materials are made available under the
 * terms of the Apache License, Version 2.0 which is available at
 * https://www.apache.org/licenses/LICENSE-2.0.
 *
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package org.nd4j.linalg.api.ops.impl.layers.recurrent.config;

/**
 * Data format for RNNs - rank 3 data.
* TNS: shape [timeLength, numExamples, inOutSize] - sometimes referred to as "time major"
* NST: shape [numExamples, inOutSize, timeLength]
* NTS: shape [numExamples, timeLength, inOutSize] - TF "time_major=false" layout
* * @author Alex Black */ public enum RnnDataFormat { //Note: ordinal (order) here matters for C++ level. Any new formats hsould be added at end TNS, NST, NTS }




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