mxnet
|
▼ cpp-package | |
▼ include | |
▼ mxnet-cpp | |
base.h | |
executor.h | |
initializer.h | Random initializer |
io.h | |
kvstore.h | |
lr_scheduler.h | Scheduling learning rate |
metric.h | |
model.h | MXNET.cpp model module |
monitor.h | Monitor definition |
MxNetCpp.h | Meta include file for mxnet.cpp |
ndarray.h | |
op.h | Definition of all the operators |
op_map.h | Definition of OpMap |
op_suppl.h | A supplement and amendment of the operators from op.h |
op_util.h | Operator helper functions |
operator.h | |
optimizer.h | Definition of optimizer |
shape.h | Definition of shape |
symbol.h | Definition of symbol |
▼ include | |
▼ mxnet | |
base.h | |
c_api.h | C API of mxnet |
c_predict_api.h | C predict API of mxnet, contains a minimum API to run prediction. This file is self-contained, and do not dependent on any other files |
engine.h | Engine that schedules all the operations according to dependency |
executor.h | |
graph_attr_types.h | Data structures that can appear in graph attributes |
imperative.h | |
io.h | |
kvstore.h | |
ndarray.h | |
op_attr_types.h | Additional operator attributes beside the ones provided by NNVM |
operator.h | |
operator_util.h | Utility functions and registries to help quickly build new operators. [Deprecated] Use the register functions in this file when possible to simplify operator creations. Operators registered in this file will be exposed to both NDArray API and symbolic API |
resource.h | Global resource allocation handling |
rtc.h | |
storage.h | Storage manager across multiple devices |
tensor_blob.h | TBlob class that holds common representation of arbirary dimension tensor, can be used to transformed to normal fixed dimenson tensor |
▼ src | |
▼ common | |
cuda_utils.h | CUDA debugging utilities |
exec_utils.h | Common utility functions for executors |
lazy_alloc_array.h | An array that lazily allocate elements as First time the cell get visited |
object_pool.h | |
utils.h | Basic utilility functions |