Norm op support 2-axis #26492
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Norm op support 2-axis #26492
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zhupengyang
reviewed
Aug 24, 2020
zhupengyang
reviewed
Aug 24, 2020
python/paddle/tensor/linalg.py
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| @@ -171,7 +172,7 @@ def __check_input(x, y): | |||
| return out | |||
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| def norm(input, p='fro', axis=None, keepdim=False, out=None, name=None): | |||
| def norm(x, p='fro', axis=None, keepdim=False, out=None, name=None): | |||
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去掉out参数
已去掉out参数
python/paddle/tensor/linalg.py
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| @@ -180,14 +181,15 @@ def norm(input, p='fro', axis=None, keepdim=False, out=None, name=None): | |||
| or 2-norm, and in general the p-norm for p > 0) of a given tensor. | |||
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| Args: | |||
| input (Variable): The input tensor could be N-D tensor, and the input data | |||
| x (Variable): The input tensor could be N-D tensor, and the input data | |||
python/paddle/tensor/linalg.py
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| @@ -180,14 +181,15 @@ def norm(input, p='fro', axis=None, keepdim=False, out=None, name=None): | |||
| or 2-norm, and in general the p-norm for p > 0) of a given tensor. | |||
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| Args: | |||
| input (Variable): The input tensor could be N-D tensor, and the input data | |||
| x (Variable): The input tensor could be N-D tensor, and the input data | |||
| type could be float32 or float64. | |||
| p (float|string, optional): Order of the norm. Supported values are `fro`, `1`, `2`, | |||
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PR types
Function optimization
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OPs
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