Python API

Overview

This API section details functions, modules, and objects included in MXNet, describing what they are and what they do. The APIs are grouped into the following categories:

Imperative API

mxnet.ndarrayndarray/index.html

Imperative APIs to manipulate multi-dimensional arrays.

mxnet.gluongluon/index.html

Imperative APIs to load data, construct and train neural networks.

Symbolic API

mxnet.symsymbol/index.html

Symbolic APIs for multi-dimensional arrays and neural network layers

mxnet.modulemodule/index.html

Intermediate and high-level interface for performing computation with Symbols.

Advanced modules

mxnet.executormxnet/executor/index.html

Managing symbolic graph execution.

mxnet.kvstore_servermxnet/kvstore_server/index.html

Server node for the key value store.

mxnet.enginemxnet/engine/index.html

Engine properties management.

mxnet.executor_managermxnet/executor_manager/index.html

Executor manager

mxnet.rtcmxnet/rtc/index.html

Tools for compiling and running CUDA code from the python frontend.

mxnet.test_utilsmxnet/test_utils/index.html

Tools for using and testing MXNet.

mxnet.utilmxnet/util/index.html

General utility functions