update dygraph auto_parallel en API docs. #59557

wuhuachaocoding · 2023-11-30T08:07:50Z

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update dygraph auto_parallel en API docs.
Pcard-73145

sunzhongkai588 · 2023-12-01T08:01:45Z

paddle/fluid/pybind/auto_parallel_py.cc

+        ReduceType.kRedSum
+        ReduceType.kRedMax
+        ReduceType.kRedMin
+        ReduceType.kRedProd
+        ReduceType.kRedAvg
+        ReduceType.kRedAny
+        ReduceType.kRedAll


改成一行行的段落吧，美观点

Suggested change

ReduceType.kRedSum

ReduceType.kRedMax

ReduceType.kRedMin

ReduceType.kRedProd

ReduceType.kRedAvg

ReduceType.kRedAny

ReduceType.kRedAll

- ReduceType.kRedSum

- ReduceType.kRedMax

- ReduceType.kRedMin

- ReduceType.kRedProd

- ReduceType.kRedAvg

- ReduceType.kRedAny

- ReduceType.kRedAll

sunzhongkai588 · 2023-12-01T08:03:49Z

paddle/fluid/pybind/auto_parallel_py.cc

+    Examples:
+        .. code-block:: python
+
+        >>> import paddle
+        >>> import paddle.distributed as dist
+        >>> mesh = dist.ProcessMesh([0, 1], dim_names=["x"])
+        >>> a = paddle.ones([10, 20])
+        >>> # doctest: +REQUIRES(env:DISTRIBUTED)
+        >>> # distributed tensor
+        >>> d_tensor = dist.shard_tensor(a, mesh, [dist.Partial(dist.ReduceType.kRedSum)])


Examples、.. code-block:: python 和代码片段层层都得保持缩进，参考 API文档英文模板，不然网页渲染会不正常。

Suggested change

Examples:

.. code-block:: python

>>> import paddle

>>> import paddle.distributed as dist

>>> mesh = dist.ProcessMesh([0, 1], dim_names=["x"])

>>> a = paddle.ones([10, 20])

>>> # doctest: +REQUIRES(env:DISTRIBUTED)

>>> # distributed tensor

>>> d_tensor = dist.shard_tensor(a, mesh, [dist.Partial(dist.ReduceType.kRedSum)])

Examples:

.. code-block:: python

>>> import paddle

>>> import paddle.distributed as dist

>>> mesh = dist.ProcessMesh([0, 1], dim_names=["x"])

>>> a = paddle.ones([10, 20])

>>> # doctest: +REQUIRES(env:DISTRIBUTED)

>>> # distributed tensor

>>> d_tensor = dist.shard_tensor(a, mesh, [dist.Partial(dist.ReduceType.kRedSum)])

sunzhongkai588 · 2023-12-01T08:07:34Z

paddle/fluid/pybind/auto_parallel_py.cc

+        Examples:
+        .. code-block:: python
+
+        >>> import paddle.distributed as dist
+        >>> placements = [dist.Replicate(), dist.Shard(0), dist.Partial()]
+        >>> for p in placements:
+        >>>     if isinstance(p, dist.Placement):
+        >>>         if p.is_replicated():
+        >>>             print("replicate.")
+        >>>         elif p.is_shard():
+        >>>             print("shard.")
+        >>>         elif p.is_partial():
+        >>>             print("partial.")


同理，需要缩进

Suggested change

Examples:

.. code-block:: python

>>> import paddle.distributed as dist

>>> placements = [dist.Replicate(), dist.Shard(0), dist.Partial()]

>>> for p in placements:

>>> if isinstance(p, dist.Placement):

>>> if p.is_replicated():

>>> print("replicate.")

>>> elif p.is_shard():

>>> print("shard.")

>>> elif p.is_partial():

>>> print("partial.")

Examples:

.. code-block:: python

>>> import paddle.distributed as dist

>>> placements = [dist.Replicate(), dist.Shard(0), dist.Partial()]

>>> for p in placements:

>>> if isinstance(p, dist.Placement):

>>> if p.is_replicated():

>>> print("replicate.")

>>> elif p.is_shard():

>>> print("shard.")

>>> elif p.is_partial():

>>> print("partial.")

sunzhongkai588 · 2023-12-01T08:10:23Z

paddle/fluid/pybind/auto_parallel_py.cc

+               Examples:
+               .. code-block:: python
+
+               >>> import paddle
+               >>> import paddle.distributed as dist
+               >>> mesh = dist.ProcessMesh([[2, 4, 5], [0, 1, 3]], dim_names=['x', 'y'])
+               >>> a = paddle.to_tensor([[1,2,3],[5,6,7]])
+               >>> # doctest: +REQUIRES(env:DISTRIBUTED)
+               >>> # distributed tensor
+               >>> d_tensor = dist.shard_tensor(a, mesh, [dist.Shard(0), dist.Shard(1)])


Suggested change

Examples:

.. code-block:: python

>>> import paddle

>>> import paddle.distributed as dist

>>> mesh = dist.ProcessMesh([[2, 4, 5], [0, 1, 3]], dim_names=['x', 'y'])

>>> a = paddle.to_tensor([[1,2,3],[5,6,7]])

>>> # doctest: +REQUIRES(env:DISTRIBUTED)

>>> # distributed tensor

>>> d_tensor = dist.shard_tensor(a, mesh, [dist.Shard(0), dist.Shard(1)])

Examples:

.. code-block:: python

>>> import paddle

>>> import paddle.distributed as dist

>>> mesh = dist.ProcessMesh([[2, 4, 5], [0, 1, 3]], dim_names=['x', 'y'])

>>> a = paddle.to_tensor([[1,2,3],[5,6,7]])

>>> # doctest: +REQUIRES(env:DISTRIBUTED)

>>> # distributed tensor

>>> d_tensor = dist.shard_tensor(a, mesh, [dist.Shard(0), dist.Shard(1)])

sunzhongkai588 · 2023-12-01T08:11:23Z

paddle/fluid/pybind/auto_parallel_py.cc

+                   Examples:
+                   .. code-block:: python
+
+                   >>> import paddle
+                   >>> import paddle.distributed as dist
+                   >>> mesh = dist.ProcessMesh([0, 1], dim_names=["x"])
+                   >>> a = paddle.ones([10, 20])
+                   >>> # doctest: +REQUIRES(env:DISTRIBUTED)
+                   >>> # distributed tensor
+                   >>> d_tensor = dist.shard_tensor(a, mesh, [dist.Replicate()])


Suggested change

Examples:

.. code-block:: python

>>> import paddle

>>> import paddle.distributed as dist

>>> mesh = dist.ProcessMesh([0, 1], dim_names=["x"])

>>> a = paddle.ones([10, 20])

>>> # doctest: +REQUIRES(env:DISTRIBUTED)

>>> # distributed tensor

>>> d_tensor = dist.shard_tensor(a, mesh, [dist.Replicate()])

Examples:

.. code-block:: python

>>> import paddle

>>> import paddle.distributed as dist

>>> mesh = dist.ProcessMesh([0, 1], dim_names=["x"])

>>> a = paddle.ones([10, 20])

>>> # doctest: +REQUIRES(env:DISTRIBUTED)

>>> # distributed tensor

>>> d_tensor = dist.shard_tensor(a, mesh, [dist.Replicate()])

sunzhongkai588 · 2023-12-01T08:12:55Z

paddle/fluid/pybind/auto_parallel_py.cc

+                 Examples:
+                 .. code-block:: python
+
+                 >>> import paddle
+                 >>> import paddle.distributed as dist
+                 >>> mesh = dist.ProcessMesh([0, 1], dim_names=["x"])
+                 >>> a = paddle.ones([10, 20])
+                 >>> # doctest: +REQUIRES(env:DISTRIBUTED)
+                 >>> # distributed tensor
+                 >>> d_tensor = dist.shard_tensor(a, mesh, [dist.Partial()])


Suggested change

Examples:

.. code-block:: python

>>> import paddle

>>> import paddle.distributed as dist

>>> mesh = dist.ProcessMesh([0, 1], dim_names=["x"])

>>> a = paddle.ones([10, 20])

>>> # doctest: +REQUIRES(env:DISTRIBUTED)

>>> # distributed tensor

>>> d_tensor = dist.shard_tensor(a, mesh, [dist.Partial()])

Examples:

.. code-block:: python

>>> import paddle

>>> import paddle.distributed as dist

>>> mesh = dist.ProcessMesh([0, 1], dim_names=["x"])

>>> a = paddle.ones([10, 20])

>>> # doctest: +REQUIRES(env:DISTRIBUTED)

>>> # distributed tensor

>>> d_tensor = dist.shard_tensor(a, mesh, [dist.Partial()])

sunzhongkai588

LGTM，同步提供下中文文档～

LiYuRio

LGTM

XiaoguangHu01

LGTM

sunzhongkai588 reviewed Dec 1, 2023

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update dygraph auto_parallel en API docs.

52c30de

wuhuachaocoding force-pushed the dygraph_en_doc branch from a49397a to 52c30de Compare December 1, 2023 12:07

sunzhongkai588 approved these changes Dec 4, 2023

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LiYuRio approved these changes Dec 4, 2023

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XiaoguangHu01 approved these changes Dec 4, 2023

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tianshuo78520a approved these changes Dec 4, 2023

View reviewed changes

LiYuRio merged commit 6577edb into PaddlePaddle:develop Dec 4, 2023
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SigureMo pushed a commit to gouzil/Paddle that referenced this pull request Dec 5, 2023

update dygraph auto_parallel en API docs. (PaddlePaddle#59557)

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update dygraph auto_parallel en API docs. #59557

update dygraph auto_parallel en API docs. #59557

wuhuachaocoding commented Nov 30, 2023

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update dygraph auto_parallel en API docs. #59557

update dygraph auto_parallel en API docs. #59557

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wuhuachaocoding commented Nov 30, 2023

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