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!8142 Fix a doc error in ReduceLogSumExp
Merge pull request !8142 from peixu_ren/custom_pp_opstags/v1.1.0
mindspore-ci-bot
Gitee
5 years ago
1 changed files with 3 additions and 3 deletions
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mindspore/nn/layer/math.py
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| @@ -36,11 +36,11 @@ class ReduceLogSumExp(Cell): | |||||
| The dtype of the tensor to be reduced is number. | The dtype of the tensor to be reduced is number. | ||||
| Args: | Args: | ||||
| axis (Union[int, tuple(int), list(int)]) - The dimensions to reduce. Default: (), reduce all dimensions. | |||||
| Only constant value is allowed. | |||||
| keep_dims (bool): If True, keep these reduced dimensions and the length is 1. | keep_dims (bool): If True, keep these reduced dimensions and the length is 1. | ||||
| If False, don't keep these dimensions. | If False, don't keep these dimensions. | ||||
| Default : False. | Default : False. | ||||
| axis (Union[int, tuple(int), list(int)]) - The dimensions to reduce. Default: (), reduce all dimensions. | |||||
| Only constant value is allowed. | |||||
| Inputs: | Inputs: | ||||
| - **input_x** (Tensor[Number]) - The input tensor. With float16 or float32 data type. | - **input_x** (Tensor[Number]) - The input tensor. With float16 or float32 data type. | ||||
| @@ -57,7 +57,7 @@ class ReduceLogSumExp(Cell): | |||||
| Examples: | Examples: | ||||
| >>> input_x = Tensor(np.random.randn(3, 4, 5, 6).astype(np.float32)) | >>> input_x = Tensor(np.random.randn(3, 4, 5, 6).astype(np.float32)) | ||||
| >>> op = nn.ReduceLogSumExp(keep_dims=True, 1) | |||||
| >>> op = nn.ReduceLogSumExp(1, keep_dims=True) | |||||
| >>> output = op(input_x) | >>> output = op(input_x) | ||||
| >>> output.shape | >>> output.shape | ||||
| (3, 1, 5, 6) | (3, 1, 5, 6) | ||||