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dgl/docs/source/api/python/udf.rst
Da Zheng 7aa494b3bc [Bugfix][Doc] explain the batch dimension in the doc and many fix (#266)
* add more unit tests for mxnet.

* fix.

* explain the batch dimension.

* update doc.

* disable unit tests on DFS.

* fix graph traversal.
2018-12-06 00:48:57 -05:00

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.. _apiudf:
User-defined function related data structures
==================================================
.. currentmodule:: dgl.udf
.. automodule:: dgl.udf
There are two types of user-defined functions in DGL:
* **Node UDF** of signature ``NodeBatch -> dict``. The argument represents
a batch of nodes. The returned dictionary should have ``str`` type key and ``tensor``
type values.
* **Edge UDF** of signature ``EdgeBatch -> dict``. The argument represents
a batch of edges. The returned dictionary should have ``str`` type key and ``tensor``
type values.
Note: the size of the batch dimension is determined by the DGL framework
for good efficiency and small memory footprint. Users should not make
assumption in the batch dimension.
EdgeBatch
---------
The class that can represent a batch of edges.
.. autosummary::
:toctree: ../../generated/
EdgeBatch.src
EdgeBatch.dst
EdgeBatch.data
EdgeBatch.edges
EdgeBatch.batch_size
EdgeBatch.__len__
NodeBatch
---------
The class that can represent a batch of nodes.
.. autosummary::
:toctree: ../../generated/
NodeBatch.data
NodeBatch.mailbox
NodeBatch.nodes
NodeBatch.batch_size
NodeBatch.__len__