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Merge pull request !45400 from 俞涵/code_docs_1110
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9
docs/api/api_python/mindspore.communication.rst
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@ -2,10 +2,11 @@ mindspore.communication
========================
集合通信接口。
注意，集合通信接口需要预先设置环境变量。对于Ascend，用户需要配置rank_table，设置rank_id和device_id，相关教程可参考：
`Ascend指导文档 <https://www.mindspore.cn/tutorials/experts/zh-CN/master/parallel/train_ascend.html>`_。
对于GPU，用户需要预先配置host_file以及mpi，相关教程参考：
`GPU指导文档 <https://www.mindspore.cn/tutorials/experts/zh-CN/master/parallel/train_gpu.html>`_。
注意，集合通信接口需要预先设置环境变量。
针对Ascend设备，用户需要准备rank表，设置rank_id和device_id，详见 `Ascend指导文档 <https://www.mindspore.cn/tutorials/experts/zh-CN/master/parallel/train_ascend.html#准备环节>`_ 。
针对GPU设备，用户需要准备host文件和mpi，详见 `GPU指导文档 <https://www.mindspore.cn/tutorials/experts/zh-CN/master/parallel/train_gpu.html#准备环节>`_ 。
目前尚不支持CPU。

15
mindspore/python/mindspore/communication/__init__.py
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@ -13,12 +13,17 @@
# limitations under the License.
# ============================================================================
"""
Collective communication interface. Note the API in the file needs to preset communication environment variables. For
the Ascend cards, users need to prepare the rank table, set rank_id and device_id. Please see the `Ascend tutorial \
<https://www.mindspore.cn/tutorials/experts/zh-CN/master/parallel/train_ascend.html>`_ for more details.
For the GPU device, users need to prepare the host file and mpi, please see the `GPU tutorial \
<https://www.mindspore.cn/tutorials/experts/zh-CN/master/parallel/train_gpu.html>`_
Collective communication interface.
Note the API in the file needs to preset communication environment variables.
For the Ascend devices, users need to prepare the rank table, set rank_id and device_id.
Please see the `Ascend tutorial
<https://www.mindspore.cn/tutorials/experts/en/master/parallel/train_ascend.html#preparations>`_
for more details.
For the GPU devices, users need to prepare the host file and mpi, please see the `GPU tutorial
<https://www.mindspore.cn/tutorials/experts/en/master/parallel/train_gpu.html#preparation>`_ .
"""
from mindspore.communication.management import GlobalComm, init, release, get_rank, \

12
mindspore/python/mindspore/ops/function/math_func.py
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@ -1881,8 +1881,8 @@ def bitwise_and(x, y):
Args:
x (Tensor): The first input tensor with shape :math:`(N,*)` where :math:`*` means
any number of additional dimensions. The supported data types are:
int8, uint8, int16, uint16, int32, uint32, int64 and uint64.
any number of additional dimensions. The supported data types are:
int8, uint8, int16, uint16, int32, uint32, int64 and uint64.
y (Tensor): The second input tensor with the same dtype as `x`.
Returns:
@ -1919,8 +1919,8 @@ def bitwise_or(x, y):
Args:
x (Tensor): The first input tensor with shape :math:`(N,*)` where :math:`*` means
any number of additional dimensions. The supported data types are:
int8, uint8, int16, uint16, int32, uint32, int64 and uint64.
any number of additional dimensions. The supported data types are:
int8, uint8, int16, uint16, int32, uint32, int64 and uint64.
y (Tensor): The second input tensor with the same dtype as `x`.
Returns:
@ -1957,8 +1957,8 @@ def bitwise_xor(x, y):
Args:
x (Tensor): The first input tensor with shape :math:`(N,*)` where :math:`*` means
any number of additional dimensions. The supported data types are:
int8, uint8, int16, uint16, int32, uint32, int64 and uint64.
any number of additional dimensions. The supported data types are:
int8, uint8, int16, uint16, int32, uint32, int64 and uint64.
y (Tensor): The second input tensor with the same dtype as `x`.
Returns:

3
mindspore/python/mindspore/ops/operations/nn_ops.py
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@ -7053,9 +7053,8 @@ class Dropout3D(PrimitiveWithInfer):
Dropout3D can improve the independence between channel feature maps.
Note:
The keep probability :math:`keep\_prob` is equal to :math:`1 - p` in :func:`mindspore.ops.dropout2d`.
The keep probability :math:`keep\_prob` is equal to :math:`1 - p` in :func:`mindspore.ops.dropout3d`.
Refer to :func:`mindspore.ops.dropout3d` for more detail.