Python API¶
Overview¶
This API section details functions, modules, and objects included in Apache 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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