add nn.functional.normalize API for API2.0, fix L1Loss API typo #26269
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wawltor
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Aug 14, 2020
python/paddle/nn/functional/norm.py
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| axis (int, optional): The axis on which to apply normalization. If `x` is 1-D tensor, `axis` is fixed to 0. If `axis < 0`, \ | ||
| the dimension to normalization is rank(X) + axis. -1 is the last dimension. | ||
| epsilon (float, optional): Small float added to denominator to avoid dividing by zero. Default is 1e-12. | ||
| name (str, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`. |
python/paddle/nn/functional/norm.py
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| import paddle | ||
| import paddle.nn.functional as F | ||
| import numpy as np |
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import numpy as np 放在第一行import， pep8规范
| x = paddle.to_variable(self.input_np2) | ||
| y = F.normalize(x) | ||
| self.assertTrue(np.allclose(y.numpy(), self.expected3)) | ||
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eps用来防止除零，上面这行就是验证除零时eps是否生效了，输入特意构造了全零tensor
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PR types
New features,Bug fixes
PR changes
APIs,Docs
Describe
1 add nn.functional.normalize API for API2.0,
2 fix L1Loss API typo: x -> input, remove 'scalar'