jcuda.jcudnn.cudnnRNNMode Maven / Gradle / Ivy
/*
* JCudnn - Java bindings for cuDNN, the NVIDIA CUDA
* Deep Neural Network library, to be used with JCuda
*
* Copyright (c) 2015-2018 Marco Hutter - http://www.jcuda.org
*
* Permission is hereby granted, free of charge, to any person
* obtaining a copy of this software and associated documentation
* files (the "Software"), to deal in the Software without
* restriction, including without limitation the rights to use,
* copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the
* Software is furnished to do so, subject to the following
* conditions:
*
* The above copyright notice and this permission notice shall be
* included in all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
* EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
* OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
* NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
* HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
* WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
* FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
* OTHER DEALINGS IN THE SOFTWARE.
*/
package jcuda.jcudnn;
public class cudnnRNNMode
{
/**
* basic RNN cell type with ReLu activation
*/
public static final int CUDNN_RNN_RELU = 0;
/**
* basic RNN cell type with tanh activation
*/
public static final int CUDNN_RNN_TANH = 1;
/**
* LSTM with optional recurrent projection and clipping
*/
public static final int CUDNN_LSTM = 2;
/**
* Using h' = tanh(r * Uh(t-1) + Wx) and h = (1 - z) * h' + z * h(t-1);
*/
public static final int CUDNN_GRU = 3;
/**
* Private constructor to prevent instantiation
*/
private cudnnRNNMode()
{
// Private constructor to prevent instantiation
}
/**
* Returns a string representation of the given constant
*
* @return A string representation of the given constant
*/
public static String stringFor(int n)
{
switch (n)
{
case CUDNN_RNN_RELU: return "CUDNN_RNN_RELU";
case CUDNN_RNN_TANH: return "CUDNN_RNN_TANH";
case CUDNN_LSTM: return "CUDNN_LSTM";
case CUDNN_GRU: return "CUDNN_GRU";
}
return "INVALID cudnnRNNMode: "+n;
}
}