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
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