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!72 【轻量级 PR】：fix typo in formula 

Merge pull request !72 from 万万没想到/N/A
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mindspore-ci-bot 2020-04-01 20:15:18 +08:00 committed by Gitee
parent 43adf281a2 fd96ebe3ea
commit 0830ad932b
2 changed files with 3 additions and 3 deletions
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2
mindspore/nn/layer/normalization.py
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@ -249,7 +249,7 @@ class LayerNorm(Cell):
'he_uniform', etc. Default: 'zeros'. 'he_uniform', etc. Default: 'zeros'.
Inputs: Inputs:
- **input_x** (Tensor) - The shape of 'input_x' is input_shape = `(x_1, x_2, ..., x_R)`, - **input_x** (Tensor) - The shape of 'input_x' is input_shape = :math:`(x_1, x_2, ..., x_R)`,
and `input_shape[begin_norm_axis:]` is equal to `normalized_shape`. and `input_shape[begin_norm_axis:]` is equal to `normalized_shape`.
Outputs: Outputs:

4
mindspore/ops/operations/array_ops.py
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@ -1790,7 +1790,7 @@ class ScatterNd(PrimitiveWithInfer):
class ResizeNearestNeighbor(PrimitiveWithInfer): class ResizeNearestNeighbor(PrimitiveWithInfer):
""" r"""
Resize the input tensor by using nearest neighbor algorithm. Resize the input tensor by using nearest neighbor algorithm.
Resize input tensor to given size by using nearest neighbor algorithm. The nearest Resize input tensor to given size by using nearest neighbor algorithm. The nearest
@ -1806,7 +1806,7 @@ class ResizeNearestNeighbor(PrimitiveWithInfer):
- **input_x** (Tensor) - The input tensor. The shape of the tensor is :math:`(N, C, H, W)`. - **input_x** (Tensor) - The input tensor. The shape of the tensor is :math:`(N, C, H, W)`.
Outputs: Outputs:
Tensor, the shape of the output tensor is :math:`(N, NEW_C, NEW_H, W)`. Tensor, the shape of the output tensor is :math:`(N, NEW\_C, NEW\_H, W)`.
Examples: Examples:
>>> input_tensor = Tensor(np.array([[-0.1, 0.3, 3.6], [0.4, 0.5, -3.2]]), mindspore.float32) >>> input_tensor = Tensor(np.array([[-0.1, 0.3, 3.6], [0.4, 0.5, -3.2]]), mindspore.float32)