【Hackathon 6th No.24】为 paddle.quantile/nanquantile 功能增强 -part #62937
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你的PR提交成功，感谢你对开源项目的贡献! |
zhwesky2010
reviewed
Mar 22, 2024
| "Type of q should be int, float, list or tuple, or tensor" | ||
| ) | ||
| for q_num in q: | ||
| if not in_dynamic_or_pir_mode() and isinstance(q_num, Variable): |
| valid_counts = mask.logical_not().sum( | ||
| axis=axis, keepdim=True, dtype='float64' | ||
| ) | ||
| valid_counts = mask.logical_not().sum(axis=axis, keepdim=True) |
| >>> y1 = paddle.quantile(y, q=0.5, axis=[0, 1]) | ||
| >>> print(y1) | ||
| Tensor(shape=[], dtype=float64, place=Place(cpu), stop_gradient=True, | ||
| Tensor(shape=[], dtype=float32, place=Place(cpu), stop_gradient=True, |
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赛题要求是与torch对齐，但是torch不支持int类型的输入，是否要和torch对齐呢
luotao1
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zhwesky2010
approved these changes
Mar 25, 2024
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LGTM，API文档和API映射文档请注意同步修改一下
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为 paddle.quantile/nanquantile 功能增强
本地单测：
中文文档修改：PaddlePaddle/docs#6353