| ▼ 3rdparty | |
| ▼ dlpack | |
| ► include | |
| ► dlpack | |
| dlpack.h | The common header of DLPack |
| ▼ dmlc-core | |
| ► include | |
| ► dmlc | |
| any.h | Container to hold any data type |
| array_view.h | Read only data structure to reference array |
| base.h | |
| blockingconcurrentqueue.h | |
| build_config_default.h | Default detection logic for fopen64 and other symbols. May be overriden by CMake |
| common.h | Defines some common utility function |
| concurrency.h | Thread-safe data structures |
| concurrentqueue.h | |
| config.h | Defines config parser class |
| data.h | Defines common input data structure, and interface for handling the input data |
| endian.h | Endian testing, need c++11 |
| filesystem.h | Utilities to manipulate files |
| input_split_shuffle.h | Base class to construct input split with global shuffling |
| io.h | |
| json.h | Lightweight JSON Reader/Writer that read save into C++ data structs. This includes STL composites and structures |
| lua.h | C++11 header only interface to easily interact with Lua and Torch. This code is evolved from torch plugin code for MXNet |
| memory.h | |
| memory_io.h | Defines binary serialization class to serialize things into/from memory region |
| omp.h | Header to handle OpenMP compatibility issues |
| optional.h | Container to hold optional data |
| parameter.h | Provide lightweight util to do parameter setup and checking |
| recordio.h | Recordio that is able to pack binary data into a splittable format, useful to exchange data in binary serialization, such as binary raw data or protobuf |
| registry.h | |
| serializer.h | Serializer template class that helps serialization. This file do not need to be directly used by most user |
| strtonum.h | A faster implementation of strtof and strtod |
| thread_group.h | Thread and synchronization primitives and lifecycle management |
| thread_local.h | Portable thread local storage |
| threadediter.h | Thread backed iterator that can be used to implement general thread-based pipeline such as prefetch and pre-computation To use the functions in this header, C++11 is required |
| timer.h | Cross platform timer for timing |
| type_traits.h | Type traits information header |
| ▼ mshadow | |
| ► mshadow | |
| ► extension | |
| broadcast.h | Support for broadcast and repmat |
| broadcast_with_axis.h | |
| channel_pool.h | Support for chpool |
| channel_unpool.h | |
| choose.h | Support for implicit array selection operation |
| complex.h | Support for complex operations |
| concat.h | Support for concatenation |
| crop.h | Support for crop |
| fill.h | Support for implicit array filling operation |
| flip.h | Support for flip a certain dimension |
| implicit_gemm.h | Support for implicit GEMM operation |
| mask.h | |
| mirror.h | Support for mirror |
| one_hot.h | Create one-hot indicator array based on the index |
| pack_col2patch.h | Support for pack |
| pad.h | Support for pad |
| range.h | Support generating a range vector |
| reduce_with_axis.h | |
| reduceto1d.h | Support for sum_rows and sumall_except_dim |
| reshape.h | Support for reshape |
| slice.h | Support for slice a certain dimension |
| slice_ex.h | |
| spatial_pool.h | Support for spatial pooling |
| spatial_unpool.h | Support for unpool |
| spatial_upsampling_nearest.h | |
| swapaxis.h | Support for swapaxis |
| take.h | |
| take_grad.h | |
| transpose.h | Support for transpose |
| unpack_patch2col.h | Support for unpack |
| ► packet | |
| plain-inl.h | Support of plain packet that use the plain datatype |
| sse-inl.h | Support of sse2 packet optimization of some operations |
| base.h | |
| bfloat.h | Definition of bfloat type |
| dot_engine-inl.h | Definitions of how Matrix Multiplications can be evaluated |
| expr_engine-inl.h | Definitions of how expressions should be evaluated |
| expr_scalar-inl.h | Definitions of operators in expression with respect to scalar this file will be included several times, each time with MACRO MSHADOW_SCALAR_ to be different types |
| expression.h | Definitions of abstract expressions and expressions template |
| extension.h | Some extension of expressions, used to support something beyond elementwise op |
| half.h | Definition of half (float16) type |
| half2.h | Definition of vector float16, half2 type |
| io.h | |
| packet-inl.h | Generic packet vectorization code |
| random.h | Random inline functions for tensor |
| stream_gpu-inl.h | Implementation of GPU code |
| tensor.h | Header file of tensor data structure and functions This lib requires explicit memory allocation and de-allocation all the data structure Tensor<cpu,1>, Tensor<gpu,1> are like handles(pointers), no memory allocation is happening during calculation |
| tensor_container.h | Tensor container that does memory allocation and resize like STL |
| tensor_cpu-inl.h | Implementation of CPU host code |
| tensor_gpu-inl.h | Implementation of GPU host code |
| ▼ tvm | |
| ► nnvm | |
| ► include | |
| ► nnvm | |
| base.h | Configuration of nnvm as well as basic data structure |
| c_api.h | C API of NNVM symbolic construction and pass. Enables construction and transformation of Graph in any other host languages |
| graph.h | Configuation of nnvm as well as basic data structure |
| graph_attr_types.h | Data structures that can appear in graph attributes |
| layout.h | Layout expression. The layout is composed of upper cases, lower cases and numbers, where upper case indicates a (super-)dimension and the corresponding lower case with factor size indicates the split (sub-)dimension. For example, NCHW16c can describe a 5-D tensor of [batch_size, channel, height, width, channel_block]. Here sub-dimension channel_block=16 is the split of super-dimension C (channel) |
| node.h | Graph node data structure |
| op.h | Operator information structor |
| op_attr_types.h | Data structures that can appear in operator attributes |
| pass.h | Pass that can be applied to a graph |
| pass_functions.h | Pass functions that simply redirect the calls to ApplyPass |
| symbolic.h | Symbolic graph construction API |
| tuple.h | Data structure Tuple and TShape to store dynamic sized shapes |
| ▼ cpp-package | |
| ▼ include | |
| ► mxnet-cpp | |
| base.h | |
| contrib.h | Utility function to enable some contrib features |
| 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_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 | |
| ▼ mkldnn | |
| dnnl.h | |
| dnnl_types.h | |
| mkldnn.h | |
| mkldnn_dnnl_mangling.h | |
| mkldnn_types.h | |
| mkldnn_version.h | |
| ▼ mxnet | |
| ► ir | |
| expr.h | Base expr nodes in MXNet |
| ► node | |
| container.h | |
| node.h | |
| ► runtime | |
| c_runtime_api.h | |
| container.h | |
| data_type.h | |
| ffi_helper.h | |
| memory.h | Runtime memory management |
| ndarray.h | A device-independent managed NDArray abstraction |
| object.h | A managed object in MXNet runtime |
| packed_func.h | Type-erased function used across MXNET API |
| registry.h | |
| api_registry.h | This file contains utilities related to the MXNet's global function registry |
| base.h | |
| c_api.h | |
| c_api_error.h | Error handling for C API |
| c_api_test.h | C API of mxnet for ease of testing backend in Python |
| 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 | |
| expr_operator.h | Common operators defined for Expr |
| graph_attr_types.h | |
| imperative.h | |
| io.h | |
| kvstore.h | |
| lib_api.h | 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 |
| libinfo.h | Get features of the MXNet library at runtime |
| ndarray.h | |
| op_attr_types.h | |
| 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 |
| random_generator.h | Parallel random number generator |
| 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 |
| tuple.h | Data structure Tuple and TShape to store dynamic sized shapes |
| ▼ src | |
| ▼ common | |
| cuda_utils.h | Common CUDA 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 | |
| static_array.h | |
| tensor_inspector.h | Utility to inspect tensor objects |
| utils.h | Basic utilility functions |
1.8.11
