forked from mindspore-Ecosystem/mindspore
update docs for standardization of import information
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@ -101,8 +101,8 @@ class Primitive(Primitive_):
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value (Any): Attribute value.
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Examples:
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>>> import mindspore.ops as P
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>>> a = P.Add()
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>>> import mindspore.ops as ops
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>>> a = ops.Add()
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>>> a = a.add_prim_attr("attr",1)
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>>> out = a.attrs["attr"]
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>>> print(out)
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@ -120,8 +120,8 @@ class Primitive(Primitive_):
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Args:
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name (str): Attribute Name.
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Examples:
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>>> import mindspore.ops as P
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>>> a = P.Add()
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>>> import mindspore.ops as ops
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>>> a = ops.Add()
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>>> a = a.add_prim_attr("attr",1)
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>>> a = a.del_prim_attr("attr")
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>>> print(a.attrs)
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@ -143,8 +143,8 @@ class Primitive(Primitive_):
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Args:
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stage (int): The stage id for the current operation.
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Examples:
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>>> from mindspore.ops import operations as P
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>>> add = P.Add()
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>>> from mindspore.ops as ops
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>>> add = ops.Add()
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>>> print(add.set_stage(0))
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Prim[Add]<stage=0>
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"""
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@ -162,8 +162,8 @@ class Primitive(Primitive_):
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Args:
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strategy (tuple): Strategy describes the distributed parallel mode of the current primitive.
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Examples:
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>>> from mindspore.ops import operations as P
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>>> add = P.Add()
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>>> from mindspore.ops as ops
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>>> add = ops.Add()
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>>> print(add.shard(((1, 1), (1, 1))))
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Prim[Add]<strategy=((1, 1), (1, 1))>
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"""
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@ -190,8 +190,8 @@ class Primitive(Primitive_):
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Args:
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instance_name (str): Instance name of primitive operator set by user.
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Examples:
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>>> import mindspore.ops as P
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>>> a = P.Add()
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>>> import mindspore.ops as ops
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>>> a = ops.Add()
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>>> a.set_prim_instance_name("add")
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>>> print(a.instance_name)
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add
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@ -270,8 +270,8 @@ class Primitive(Primitive_):
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inputs (list[str]): list of inputs names.
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outputs (list[str]): list of outputs names.
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Examples:
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>>> import mindspore.ops as P
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>>> a = P.Add()
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>>> import mindspore.ops as ops
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>>> a = ops.Add()
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>>> a.init_prim_io_names(["x","y"],["sum"])
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>>> print(a.input_names)
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['x','y']
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