ai.djl.mxnet.engine (Deep Java Library 0.2.0

Class Summary
Class	Description
CachedOp	The `CachedOp` is an internal helper that provides the core functionality to execute a `MxSymbolBlock`.
DeviceType	DeviceType is the MXNet equivalent of the types in `Device`.
MxDataType	Helper to convert between `DataType` an the MXNet internal DataTypes.
MxEngine	The `MxEngine` is an implementation of the `Engine` based on the Apache MXNet Deep Learning Framework.
MxEngineProvider	`MxEngineProvider` is the MXNet implementation of `EngineProvider`.
MxGradientCollector	`MxGradientCollector` is the MXNet implementation of `GradientCollector`.
MxMatrix	`MxMatrix` is the MXNet implementation of `Matrix`.
MxModel	`MxModel` is the MXNet implementation of `Model`.
MxNDArray	`MxNDArray` is the MXNet implementation of `NDArray`.
MxNDManager	`MxNDManager` is the MXNet implementation of `NDManager`.
MxOpParams	An internal helper for creating the MXNet operator parameters.
MxParameterServer	`MxParameterServer` is the MXNet implementation of `ParameterServer`.
MxPredictor<I,O>	`MxPredictor` is the MXNet implementation of `Predictor`.
MxSparseNDArray	`MxSparseNDArray` is an instance of `MxNDArray` and `NDArray` for sparse NDArrays.
MxSymbolBlock	`MxSymbolBlock` is the MXNet implementation of `SymbolBlock`.
MxTrainer	`MxTrainer` is the MXNet implementation of the `Trainer`.
Symbol	`Symbol` is an internal helper for symbolic model graphs used by the `SymbolBlock`.

Package ai.djl.mxnet.engine Description

Contains implementations of interfaces within the DJL API for the MXNet Engine.