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fix typo in formula

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万万没想到 2020-04-01 11:42:24 +08:00 committed by Gitee
parent c46e267cfd
commit fd96ebe3ea
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'.
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`.
Outputs:

4
mindspore/ops/operations/array_ops.py
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@ -1790,7 +1790,7 @@ class ScatterNd(PrimitiveWithInfer):
class ResizeNearestNeighbor(PrimitiveWithInfer):
"""
r"""
Resize the input tensor by using nearest neighbor algorithm.
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)`.
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:
>>> input_tensor = Tensor(np.array([[-0.1, 0.3, 3.6], [0.4, 0.5, -3.2]]), mindspore.float32)