为 paddle.linalg.norm 进行功能升级与对齐- 添加 vector_norm #61155
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python/paddle/tensor/linalg.py
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| >>> print(out_vector_norm) | ||
| Tensor(shape=[2], dtype=float32, place=Place(gpu:0), stop_gradient=True, | ||
| [12., 11.]) | ||
| >>> out_vector_norm = paddle.vector_norm(x=x,p=1,axis=1,keepdim=False) |
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这个需要改成 paddle.linalg.vector_norm
| x, porder=p, axis=axis, keepdim=keepdim, name=name | ||
| ) | ||
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原来的那个内部函数vector_norm也一起删掉吧，这个相当于暴露了之前的内部函数vector_norm，可以覆盖其功能
目前猜测的问题是 当p=0 && len(axis) >= 2时得到结果的数据类型与input数据类型不一致。 |
本地复现不出来么 |
找到问题了，np.inf的原因，已更正。 |
| Calculate the p-order vector norm for certain dimension of Tensor `input`. | ||
| Returns the vector norm (the 1-norm, the Euclidean or 2-norm, and in general the p-norm) | ||
| of a given tensor. | ||
| Args: |
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| Args: | |
| Args: |
| keepdim (bool, optional): Whether keep the dimensions as the `input`, Default False. | ||
| name (str, optional): The default value is None. Normally there is no need for | ||
| user to set this property. For more information, please refer to :ref:`api_guide_Name`. | ||
| Returns: |
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| Returns: | |
| Returns: |
| Examples: | ||
| .. code-block:: python |
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| Examples: | |
| .. code-block:: python | |
| Examples: | |
| .. code-block:: python | |
remind @zbt78 |
好滴，明白是那里的问题了。 |
luotao1
changed the title
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你的PR提交成功，感谢你对开源项目的贡献! |
PR types
Function optimization
PR changes
APIs
Description
暴露内部函数vector_norm为
paddle.linalg.vector_norm