Uses of Class
org.deeplearning4j.nn.conf.layers.ConvolutionLayer.AlgoMode

Packages that use ConvolutionLayer.AlgoMode

Package	Description
org.deeplearning4j.nn.conf
org.deeplearning4j.nn.conf.layers
org.deeplearning4j.nn.layers.convolution
org.deeplearning4j.nn.layers.mkldnn
org.deeplearning4j.nn.transferlearning

Uses of ConvolutionLayer.AlgoMode in org.deeplearning4j.nn.conf

Fields in org.deeplearning4j.nn.conf declared as ConvolutionLayer.AlgoMode

Modifier and Type	Field	Description
protected ConvolutionLayer.AlgoMode	NeuralNetConfiguration.Builder.cudnnAlgoMode

Methods in org.deeplearning4j.nn.conf with parameters of type ConvolutionLayer.AlgoMode

Modifier and Type	Method	Description
NeuralNetConfiguration.Builder	NeuralNetConfiguration.Builder.cudnnAlgoMode(ConvolutionLayer.AlgoMode cudnnAlgoMode)	Sets the cuDNN algo mode for convolutional layers, which impacts performance and memory usage of cuDNN.

Uses of ConvolutionLayer.AlgoMode in org.deeplearning4j.nn.conf.layers

Fields in org.deeplearning4j.nn.conf.layers declared as ConvolutionLayer.AlgoMode

Modifier and Type	Field	Description
protected ConvolutionLayer.AlgoMode	ConvolutionLayer.BaseConvBuilder.cudnnAlgoMode	Defaults to "PREFER_FASTEST", but "NO_WORKSPACE" uses less memory.
protected ConvolutionLayer.AlgoMode	ConvolutionLayer.cudnnAlgoMode	Defaults to "PREFER_FASTEST", but "NO_WORKSPACE" uses less memory.

Methods in org.deeplearning4j.nn.conf.layers that return ConvolutionLayer.AlgoMode

Modifier and Type	Method	Description
static ConvolutionLayer.AlgoMode	ConvolutionLayer.AlgoMode.valueOf(String name)	Returns the enum constant of this type with the specified name.
static ConvolutionLayer.AlgoMode[]	ConvolutionLayer.AlgoMode.values()	Returns an array containing the constants of this enum type, in the order they are declared.

Methods in org.deeplearning4j.nn.conf.layers with parameters of type ConvolutionLayer.AlgoMode

Modifier and Type	Method	Description
T	ConvolutionLayer.BaseConvBuilder.cudnnAlgoMode(ConvolutionLayer.AlgoMode cudnnAlgoMode)	Defaults to "PREFER_FASTEST", but "NO_WORKSPACE" uses less memory.

Uses of ConvolutionLayer.AlgoMode in org.deeplearning4j.nn.layers.convolution

Methods in org.deeplearning4j.nn.layers.convolution with parameters of type ConvolutionLayer.AlgoMode

Modifier and Type	Method	Description
Pair<Gradient,INDArray>	ConvolutionHelper.backpropGradient(INDArray input, INDArray weights, INDArray bias, INDArray delta, int[] kernel, int[] strides, int[] pad, INDArray biasGradView, INDArray weightGradView, IActivation afn, ConvolutionLayer.AlgoMode mode, ConvolutionLayer.BwdFilterAlgo bwdFilterAlgo, ConvolutionLayer.BwdDataAlgo bwdDataAlgo, ConvolutionMode convolutionMode, int[] dilation, CNN2DFormat format, LayerWorkspaceMgr workspaceMgr)
INDArray	ConvolutionHelper.preOutput(INDArray input, INDArray weights, INDArray bias, int[] kernel, int[] strides, int[] pad, ConvolutionLayer.AlgoMode mode, ConvolutionLayer.FwdAlgo fwdAlgo, ConvolutionMode convolutionMode, int[] dilation, CNN2DFormat format, LayerWorkspaceMgr workspaceMgr)

Uses of ConvolutionLayer.AlgoMode in org.deeplearning4j.nn.layers.mkldnn

Methods in org.deeplearning4j.nn.layers.mkldnn with parameters of type ConvolutionLayer.AlgoMode

Modifier and Type	Method	Description
Pair<Gradient,INDArray>	MKLDNNConvHelper.backpropGradient(INDArray input, INDArray weights, INDArray bias, INDArray delta, int[] kernel, int[] strides, int[] pad, INDArray biasGradView, INDArray weightGradView, IActivation afn, ConvolutionLayer.AlgoMode mode, ConvolutionLayer.BwdFilterAlgo bwdFilterAlgo, ConvolutionLayer.BwdDataAlgo bwdDataAlgo, ConvolutionMode convolutionMode, int[] dilation, CNN2DFormat format, LayerWorkspaceMgr workspaceMgr)
INDArray	MKLDNNConvHelper.preOutput(INDArray input, INDArray weights, INDArray bias, int[] kernel, int[] strides, int[] pad, ConvolutionLayer.AlgoMode mode, ConvolutionLayer.FwdAlgo fwdAlgo, ConvolutionMode convolutionMode, int[] dilation, CNN2DFormat format, LayerWorkspaceMgr workspaceMgr)

Uses of ConvolutionLayer.AlgoMode in org.deeplearning4j.nn.transferlearning

Fields in org.deeplearning4j.nn.transferlearning declared as ConvolutionLayer.AlgoMode

Modifier and Type	Field	Description
protected ConvolutionLayer.AlgoMode	FineTuneConfiguration.cudnnAlgoMode

Methods in org.deeplearning4j.nn.transferlearning with parameters of type ConvolutionLayer.AlgoMode

Modifier and Type	Method	Description
FineTuneConfiguration.Builder	FineTuneConfiguration.Builder.cudnnAlgoMode(ConvolutionLayer.AlgoMode cudnnAlgoMode)	Sets the cuDNN algo mode for convolutional layers, which impacts performance and memory usage of cuDNN.