forked from mindspore-Ecosystem/mindspore
!6870 refine FusedBatchNormEx doc format
Merge pull request !6870 from zyli2020/bug_fix
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@ -654,11 +654,11 @@ class FusedBatchNormEx(PrimitiveWithInfer):
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Inputs:
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- **input_x** (Tensor) - The input of FusedBatchNormEx, Tensor of shape :math:`(N, C)`,
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data type: float16 or float32.
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data type: float16 or float32.
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- **scale** (Tensor) - Parameter scale, same with gamma above-mentioned, Tensor of shape :math:`(C,)`,
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data type: float32.
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data type: float32.
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- **bias** (Tensor) - Parameter bias, same with beta above-mentioned, Tensor of shape :math:`(C,)`,
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data type: float32.
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data type: float32.
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- **mean** (Tensor) - mean value, Tensor of shape :math:`(C,)`, data type: float32.
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- **variance** (Tensor) - variance value, Tensor of shape :math:`(C,)`, data type: float32.
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@ -670,7 +670,7 @@ class FusedBatchNormEx(PrimitiveWithInfer):
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- **updated_bias** (Tensor) - Updated parameter bias, Tensor of shape :math:`(C,)`, data type: float32.
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- **updated_moving_mean** (Tensor) - Updated mean value, Tensor of shape :math:`(C,)`, data type: float32.
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- **updated_moving_variance** (Tensor) - Updated variance value, Tensor of shape :math:`(C,)`,
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data type: float32.
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data type: float32.
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- **reserve** (Tensor) - reserve space, Tensor of shape :math:`(C,)`, data type: float32.
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Examples:
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