Uses of Class
org.nd4j.enums.DataFormat

Packages that use DataFormat

Package	Description
org.nd4j.autodiff.samediff.ops
org.nd4j.enums
org.nd4j.linalg.api.ops.impl.layers.convolution
org.nd4j.linalg.factory.ops

Uses of DataFormat in org.nd4j.autodiff.samediff.ops

Methods in org.nd4j.autodiff.samediff.ops with parameters of type DataFormat

Modifier and Type	Method and Description
SDVariable	SDCNN.depthToSpace(SDVariable x, int blockSize, DataFormat dataFormat) Convolution 2d layer batch to space operation on 4d input. Reduces input channels dimension by rearranging data into a larger spatial dimensions Example: if input has shape [mb, 8, 2, 2] and block size is 2, then output size is [mb, 8/(2*2), 2*2, 2*2] = [mb, 2, 4, 4]
SDVariable	SDCNN.depthToSpace(String name, SDVariable x, int blockSize, DataFormat dataFormat) Convolution 2d layer batch to space operation on 4d input. Reduces input channels dimension by rearranging data into a larger spatial dimensions Example: if input has shape [mb, 8, 2, 2] and block size is 2, then output size is [mb, 8/(2*2), 2*2, 2*2] = [mb, 2, 4, 4]
SDVariable	SDCNN.spaceToDepth(SDVariable x, int blockSize, DataFormat dataFormat) Convolution 2d layer space to depth operation on 4d input. Increases input channels (reduced spatial dimensions) by rearranging data into a larger channels dimension Example: if input has shape [mb, 2, 4, 4] and block size is 2, then output size is [mb, 8/(2*2), 2*2, 2*2] = [mb, 2, 4, 4]
SDVariable	SDCNN.spaceToDepth(String name, SDVariable x, int blockSize, DataFormat dataFormat) Convolution 2d layer space to depth operation on 4d input. Increases input channels (reduced spatial dimensions) by rearranging data into a larger channels dimension Example: if input has shape [mb, 2, 4, 4] and block size is 2, then output size is [mb, 8/(2*2), 2*2, 2*2] = [mb, 2, 4, 4]

Uses of DataFormat in org.nd4j.enums

Methods in org.nd4j.enums that return DataFormat

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

Uses of DataFormat in org.nd4j.linalg.api.ops.impl.layers.convolution

Constructors in org.nd4j.linalg.api.ops.impl.layers.convolution with parameters of type DataFormat

Constructor and Description
DepthToSpace(INDArray in, INDArray out, int blockSize, DataFormat dataFormat)
DepthToSpace(INDArray in, int blockSize, DataFormat dataFormat)
DepthToSpace(SameDiff sameDiff, SDVariable[] args, int blockSize, DataFormat dataFormat)
DepthToSpace(SameDiff sameDiff, SDVariable args, int blockSize, DataFormat dataFormat)
SpaceToDepth(INDArray in, INDArray out, int blockSize, DataFormat dataFormat)
SpaceToDepth(INDArray x, int blockSize, DataFormat dataFormat)
SpaceToDepth(SameDiff sameDiff, SDVariable[] args, int blockSize, DataFormat dataFormat)
SpaceToDepth(SameDiff sameDiff, SDVariable x, int blockSize, DataFormat dataFormat)

Uses of DataFormat in org.nd4j.linalg.factory.ops

Methods in org.nd4j.linalg.factory.ops with parameters of type DataFormat

Modifier and Type	Method and Description
INDArray	NDCNN.depthToSpace(INDArray x, int blockSize, DataFormat dataFormat) Convolution 2d layer batch to space operation on 4d input. Reduces input channels dimension by rearranging data into a larger spatial dimensions Example: if input has shape [mb, 8, 2, 2] and block size is 2, then output size is [mb, 8/(2*2), 2*2, 2*2] = [mb, 2, 4, 4]
INDArray	NDCNN.spaceToDepth(INDArray x, int blockSize, DataFormat dataFormat) Convolution 2d layer space to depth operation on 4d input. Increases input channels (reduced spatial dimensions) by rearranging data into a larger channels dimension Example: if input has shape [mb, 2, 4, 4] and block size is 2, then output size is [mb, 8/(2*2), 2*2, 2*2] = [mb, 2, 4, 4]