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Fix a doc error in ReduceLogSumExp

This commit is contained in:
peixu_ren 2020-09-19 14:35:51 -04:00
parent 4098f28276
commit 26a7ab6ec8
1 changed files with 7 additions and 7 deletions
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14
mindspore/nn/layer/math.py
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@ -36,14 +36,14 @@ class ReduceLogSumExp(Cell):
The dtype of the tensor to be reduced is number.
Args:
keep_dims (bool): If true, keep these reduced dimensions and the length is 1.
If false, don't keep these dimensions.
Default : False.
keep_dims (bool): If True, keep these reduced dimensions and the length is 1.
If False, don't keep these dimensions.
Default : False.
axis (Union[int, tuple(int), list(int)]) - The dimensions to reduce. Default: (), reduce all dimensions.
Only constant value is allowed.
Inputs:
- **input_x** (Tensor[Number]) - The input tensor. With float16 or float32 data type.
- **axis** (Union[int, tuple(int), list(int)]) - The dimensions to reduce. Default: (), reduce all dimensions.
Only constant value is allowed.
Outputs:
Tensor, has the same dtype as the `input_x`.
@ -57,8 +57,8 @@ class ReduceLogSumExp(Cell):
Examples:
>>> input_x = Tensor(np.random.randn(3, 4, 5, 6).astype(np.float32))
>>> op = nn.ReduceLogSumExp(keep_dims=True)
>>> output = op(input_x, 1)
>>> op = nn.ReduceLogSumExp(keep_dims=True, 1)
>>> output = op(input_x)
>>> output.shape
(3, 1, 5, 6)
"""