Uses of Class
org.deeplearning4j.nn.workspace.ArrayType

Packages that use ArrayType

Package	Description
org.deeplearning4j.nn.graph
org.deeplearning4j.nn.layers
org.deeplearning4j.nn.layers.ocnn
org.deeplearning4j.nn.layers.recurrent
org.deeplearning4j.nn.layers.training
org.deeplearning4j.nn.multilayer
org.deeplearning4j.nn.workspace
org.deeplearning4j.util

Uses of ArrayType in org.deeplearning4j.nn.graph

Methods in org.deeplearning4j.nn.graph with parameters of type ArrayType

Modifier and Type	Method and Description
protected void	ComputationGraph.validateArrayWorkspaces(LayerWorkspaceMgr mgr, org.nd4j.linalg.api.ndarray.INDArray array, ArrayType arrayType, String vertexName, boolean isInputVertex, String op)

Uses of ArrayType in org.deeplearning4j.nn.layers

Methods in org.deeplearning4j.nn.layers with parameters of type ArrayType

Modifier and Type	Method and Description
protected org.nd4j.linalg.api.ndarray.INDArray	OutputLayer.getLabels2d(LayerWorkspaceMgr workspaceMgr, ArrayType arrayType)
protected abstract org.nd4j.linalg.api.ndarray.INDArray	BaseOutputLayer.getLabels2d(LayerWorkspaceMgr workspaceMgr, ArrayType arrayType)

Uses of ArrayType in org.deeplearning4j.nn.layers.ocnn

Methods in org.deeplearning4j.nn.layers.ocnn with parameters of type ArrayType

Modifier and Type	Method and Description
protected org.nd4j.linalg.api.ndarray.INDArray	OCNNOutputLayer.getLabels2d(LayerWorkspaceMgr workspaceMgr, ArrayType arrayType)

Uses of ArrayType in org.deeplearning4j.nn.layers.recurrent

Methods in org.deeplearning4j.nn.layers.recurrent with parameters of type ArrayType

Modifier and Type	Method and Description
protected org.nd4j.linalg.api.ndarray.INDArray	RnnOutputLayer.getLabels2d(LayerWorkspaceMgr workspaceMgr, ArrayType arrayType)

Uses of ArrayType in org.deeplearning4j.nn.layers.training

Methods in org.deeplearning4j.nn.layers.training with parameters of type ArrayType

Modifier and Type	Method and Description
protected org.nd4j.linalg.api.ndarray.INDArray	CenterLossOutputLayer.getLabels2d(LayerWorkspaceMgr workspaceMgr, ArrayType arrayType)

Uses of ArrayType in org.deeplearning4j.nn.multilayer

Methods in org.deeplearning4j.nn.multilayer with parameters of type ArrayType

Modifier and Type	Method and Description
protected void	MultiLayerNetwork.validateArrayWorkspaces(LayerWorkspaceMgr mgr, org.nd4j.linalg.api.ndarray.INDArray array, ArrayType arrayType, int layerIdx, boolean isPreprocessor, String op)

Uses of ArrayType in org.deeplearning4j.nn.workspace

Methods in org.deeplearning4j.nn.workspace that return ArrayType

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

Methods in org.deeplearning4j.nn.workspace with parameters of type ArrayType

Modifier and Type	Method and Description
org.nd4j.linalg.api.ndarray.INDArray	LayerWorkspaceMgr.leverageTo(ArrayType arrayType, org.nd4j.linalg.api.ndarray.INDArray array)
LayerWorkspaceMgr.Builder	LayerWorkspaceMgr.Builder.noWorkspaceFor(ArrayType type) Specify that no workspace should be used for array of the specified type - i.e., these arrays should all be scoped out.
org.nd4j.linalg.api.ndarray.INDArray	LayerWorkspaceMgr.validateArrayLocation(ArrayType arrayType, org.nd4j.linalg.api.ndarray.INDArray array, boolean migrateIfInvalid, boolean exceptionIfDetached)
LayerWorkspaceMgr.Builder	LayerWorkspaceMgr.Builder.with(ArrayType type, String workspaceName, org.nd4j.linalg.api.memory.conf.WorkspaceConfiguration configuration) Configure the workspace (name, configuration) for the specified array type

Constructor parameters in org.deeplearning4j.nn.workspace with type arguments of type ArrayType

Constructor and Description
LayerWorkspaceMgr(Set<ArrayType> scopeOutOfWs, Map<ArrayType,org.nd4j.linalg.api.memory.conf.WorkspaceConfiguration> configMap, Map<ArrayType,String> workspaceNames)
LayerWorkspaceMgr(Set<ArrayType> scopeOutOfWs, Map<ArrayType,org.nd4j.linalg.api.memory.conf.WorkspaceConfiguration> configMap, Map<ArrayType,String> workspaceNames)
LayerWorkspaceMgr(Set<ArrayType> scopeOutOfWs, Map<ArrayType,org.nd4j.linalg.api.memory.conf.WorkspaceConfiguration> configMap, Map<ArrayType,String> workspaceNames)

Uses of ArrayType in org.deeplearning4j.util

Methods in org.deeplearning4j.util with parameters of type ArrayType

Modifier and Type	Method and Description
static org.nd4j.linalg.api.ndarray.INDArray	ConvolutionUtils.adapt2dMask(org.nd4j.linalg.api.ndarray.INDArray mask, org.nd4j.linalg.api.ndarray.INDArray output, LayerWorkspaceMgr workspaceMgr, ArrayType type)
static org.nd4j.linalg.primitives.Pair<org.nd4j.linalg.api.ndarray.INDArray,int[]>	TimeSeriesUtils.pullLastTimeSteps(org.nd4j.linalg.api.ndarray.INDArray pullFrom, org.nd4j.linalg.api.ndarray.INDArray mask, LayerWorkspaceMgr workspaceMgr, ArrayType arrayType) Extract out the last time steps (2d array from 3d array input) accounting for the mask layer, if present.
static org.nd4j.linalg.api.ndarray.INDArray	TimeSeriesUtils.reshape2dTo3d(org.nd4j.linalg.api.ndarray.INDArray in, int miniBatchSize, LayerWorkspaceMgr workspaceMgr, ArrayType arrayType)
static org.nd4j.linalg.api.ndarray.INDArray	ConvolutionUtils.reshape2dTo4d(org.nd4j.linalg.api.ndarray.INDArray in2d, int[] toShape, LayerWorkspaceMgr workspaceMgr, ArrayType type)
static org.nd4j.linalg.api.ndarray.INDArray	ConvolutionUtils.reshape3dMask(org.nd4j.linalg.api.ndarray.INDArray mask, LayerWorkspaceMgr workspaceMgr, ArrayType type)
static org.nd4j.linalg.api.ndarray.INDArray	TimeSeriesUtils.reshape3dTo2d(org.nd4j.linalg.api.ndarray.INDArray in, LayerWorkspaceMgr workspaceMgr, ArrayType arrayType)
static org.nd4j.linalg.api.ndarray.INDArray	ConvolutionUtils.reshape4dMask(org.nd4j.linalg.api.ndarray.INDArray mask, LayerWorkspaceMgr workspaceMgr, ArrayType arrayType)
static org.nd4j.linalg.api.ndarray.INDArray	ConvolutionUtils.reshape4dTo2d(org.nd4j.linalg.api.ndarray.INDArray in, LayerWorkspaceMgr workspaceMgr, ArrayType type)
static org.nd4j.linalg.api.ndarray.INDArray	ConvolutionUtils.reshapeMaskIfRequired(org.nd4j.linalg.api.ndarray.INDArray mask, org.nd4j.linalg.api.ndarray.INDArray output, LayerWorkspaceMgr workspaceMgr, ArrayType type)
static org.nd4j.linalg.api.ndarray.INDArray	TimeSeriesUtils.reshapePerOutputTimeSeriesMaskTo2d(org.nd4j.linalg.api.ndarray.INDArray perOutputTimeSeriesMask, LayerWorkspaceMgr workspaceMgr, ArrayType arrayType)
static org.nd4j.linalg.api.ndarray.INDArray	TimeSeriesUtils.reshapeTimeSeriesMaskToVector(org.nd4j.linalg.api.ndarray.INDArray timeSeriesMask, LayerWorkspaceMgr workspaceMgr, ArrayType arrayType) Reshape time series mask arrays.
static org.nd4j.linalg.api.ndarray.INDArray	TimeSeriesUtils.reverseTimeSeries(org.nd4j.linalg.api.ndarray.INDArray in, LayerWorkspaceMgr workspaceMgr, ArrayType arrayType) Reverse an input time series along the time dimension
static org.nd4j.linalg.api.ndarray.INDArray	TimeSeriesUtils.reverseTimeSeriesMask(org.nd4j.linalg.api.ndarray.INDArray mask, LayerWorkspaceMgr workspaceMgr, ArrayType arrayType) Reverse a (per time step) time series mask, with shape [minibatch, timeSeriesLength]