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

Packages that use ConvolutionLayer.AlgoMode

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

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

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

Modifier and Type	Method and 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 and Description
ConvolutionLayer.Builder	ConvolutionLayer.Builder.cudnnAlgoMode(ConvolutionLayer.AlgoMode cudnnAlgoMode) Defaults to "PREFER_FASTEST", but "NO_WORKSPACE" uses less memory.
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 and Description
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray>	ConvolutionHelper.backpropGradient(org.nd4j.linalg.api.ndarray.INDArray input, org.nd4j.linalg.api.ndarray.INDArray weights, org.nd4j.linalg.api.ndarray.INDArray delta, int[] kernel, int[] strides, int[] pad, org.nd4j.linalg.api.ndarray.INDArray biasGradView, org.nd4j.linalg.api.ndarray.INDArray weightGradView, org.nd4j.linalg.activations.IActivation afn, ConvolutionLayer.AlgoMode mode, ConvolutionLayer.BwdFilterAlgo bwdFilterAlgo, ConvolutionLayer.BwdDataAlgo bwdDataAlgo, ConvolutionMode convolutionMode)
org.nd4j.linalg.api.ndarray.INDArray	ConvolutionHelper.preOutput(org.nd4j.linalg.api.ndarray.INDArray input, org.nd4j.linalg.api.ndarray.INDArray weights, org.nd4j.linalg.api.ndarray.INDArray bias, int[] kernel, int[] strides, int[] pad, ConvolutionLayer.AlgoMode mode, ConvolutionLayer.FwdAlgo fwdAlgo, ConvolutionMode convolutionMode)