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file | api_registry.h [code] |
| This file contains utilities related to the MXNet's global function registry.
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file | base.h [code] |
| configuration of MXNet as well as basic data structure.
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file | c_api.h [code] |
| C API of mxnet.
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file | c_api_error.h [code] |
| Error handling for C API.
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file | c_api_test.h [code] |
| C API of mxnet for ease of testing backend in Python.
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file | engine.h [code] |
| Engine that schedules all the operations according to dependency.
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file | executor.h [code] |
| Symbolic executor interface of mxnet.
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file | expr_operator.h [code] |
| Common operators defined for Expr.
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file | graph_attr_types.h [code] |
| Data structures that can appear in graph attributes.
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file | imperative.h [code] |
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file | io.h [code] |
| mxnet io data structure and data iterator
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file | kvstore.h [code] |
| key-value store interface for mxnet
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file | lib_api.h [code] |
| APIs to interact with libraries This API specifies function prototypes to register custom ops, partitioner, and passes for library authors See example/extension/lib_custom_op/README.md See example/extension/lib_subgraph/README.md See example/extension/lib_pass/README.md.
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file | libinfo.h [code] |
| get features of the MXNet library at runtime
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file | ndarray.h [code] |
| NDArray interface that handles array arithematics.
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file | op_attr_types.h [code] |
| Additional operator attributes beside the ones provided by NNVM.
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file | operator.h [code] |
| Operator interface of mxnet.
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file | operator_util.h [code] |
| 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.
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file | random_generator.h [code] |
| Parallel random number generator.
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file | resource.h [code] |
| Global resource allocation handling.
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file | rtc.h [code] |
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file | storage.h [code] |
| Storage manager across multiple devices.
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file | tensor_blob.h [code] |
| TBlob class that holds common representation of arbirary dimension tensor, can be used to transformed to normal fixed dimenson tensor.
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file | tuple.h [code] |
| Data structure Tuple and TShape to store dynamic sized shapes.
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