tf

Linear Supertypes

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class BiasAdd[T] extends AbstractModule[Table, Tensor[T], T]
sealed abstract class ControlOps[T] extends Operation[Activity, Activity, T]
Control flow related operations
Control flow related operations
T
Numeric type of parameter(e.g. weight, bias). Only support float/double now
abstract class IdentityControl[T] extends ControlOps[T]
Control flow related operations, and they just pass the input without modifying them
Control flow related operations, and they just pass the input without modifying them
T
Numeric type of parameter(e.g. weight, bias). Only support float/double now
class Log1p[T, D] extends AbstractModule[Tensor[D], Tensor[D], T]
The Log module applies a log transformation to the input data
The Log module applies a log transformation to the input data

Annotations
@SerialVersionUID()
sealed class MergeControlNode[T] extends Node[T]
A wrapper of node for merge operation.
A wrapper of node for merge operation.
T
element type
class SqrtGrad[T, D] extends Operation[Table, Tensor[D], T]
sealed class SwitchControlNode[T] extends Node[T]
A wrapper of node for switch operation.
A wrapper of node for switch operation. Make code easy to read.
T
element type
class TensorModuleWrapper[T, D] extends AbstractModule[Tensor[D], Tensor[D], T]
The AbstractModule[Tensor[D], Tensor[D], T] that takes a TensorModule[D] to enable the computation of D typed data in a module with numeric type of T.

Packages