forked from mindspore-Ecosystem/mindspore
!2359 fix example error of HostReduceScatter
Merge pull request !2359 from yihuaijie/master
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commit
46c8ef28de
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@ -191,8 +191,7 @@ class HostAllGather(PrimitiveWithInfer):
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Raises:
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TypeError: If group is not a list nor tuple, or elements of group are not int.
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ValueError: If the local rank id of the calling process not in group,
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or rank_id from group not in [0, 7].
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ValueError: If group is not set, or rank_id from group not in [0, 7].
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Inputs:
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- **input_x** (Tensor) - The shape of tensor is :math:`(x_1, x_2, ..., x_R)`.
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@ -281,7 +280,7 @@ class ReduceScatter(PrimitiveWithInfer):
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>>> def construct(self, x):
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>>> return self.reducescatter(x)
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>>>
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>>> input_ = Tensor(np.ones([2, 8]).astype(np.float32))
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>>> input_ = Tensor(np.ones([8, 8]).astype(np.float32))
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>>> net = Net()
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>>> output = net(input_)
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"""
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@ -327,8 +326,8 @@ class HostReduceScatter(PrimitiveWithInfer):
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Raises:
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TypeError: If op is not a string and group is not a list nor tuple,
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or elements of group are not int.
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ValueError: If the first dimension of input can not be divided by rank size,
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or group is not set, or rank_id not in [1, 7].
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ValueError: If the first dimension of input can not be divided by group size,
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or group is not set, or rank_id not in [0, 7].
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Examples:
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>>> import mindspore.nn as nn
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@ -348,7 +347,7 @@ class HostReduceScatter(PrimitiveWithInfer):
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>>> def construct(self, x):
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>>> return self.hostreducescatter(x)
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>>>
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>>> input_ = Tensor(np.ones([2, 8]).astype(np.float32))
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>>> input_ = Tensor(np.ones([8, 8]).astype(np.float32))
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>>> net = Net()
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>>> output = net(input_)
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"""
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