org.tensorflow.op.core

Class Conv2DBackpropFilter.Options

java.lang.Object

org.tensorflow.op.core.Conv2DBackpropFilter.Options

Enclosing class:

Conv2DBackpropFilter<T extends Number>

public static class Conv2DBackpropFilter.Options
extends Object

Optional attributes for Conv2DBackpropFilter

Method Summary

Modifier and Type	Method and Description
Conv2DBackpropFilter.Options	dataFormat(String dataFormat)
Conv2DBackpropFilter.Options	dilations(List<Long> dilations)
Conv2DBackpropFilter.Options	useCudnnOnGpu(Boolean useCudnnOnGpu)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Detail

useCudnnOnGpu

public Conv2DBackpropFilter.Options useCudnnOnGpu(Boolean useCudnnOnGpu)

Parameters:

useCudnnOnGpu -

dataFormat

public Conv2DBackpropFilter.Options dataFormat(String dataFormat)

Parameters:

dataFormat - Specify the data format of the input and output data. With the default format "NHWC", the data is stored in the order of: [batch, in_height, in_width, in_channels]. Alternatively, the format could be "NCHW", the data storage order of: [batch, in_channels, in_height, in_width].

dilations

public Conv2DBackpropFilter.Options dilations(List<Long> dilations)

Parameters:

dilations - 1-D tensor of length 4. The dilation factor for each dimension of `input`. If set to k > 1, there will be k-1 skipped cells between each filter element on that dimension. The dimension order is determined by the value of `data_format`, see above for details. Dilations in the batch and depth dimensions must be 1.