[xdoctest][task 114] Reformat example code with google style in python/paddle/nn/functional/vision.py #56230
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SigureMo
reviewed
Aug 14, 2023
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| Tensor(shape=[1, 6, 1, 1], dtype=float32, place=Place(cpu), stop_gradient=True, | ||
| [[[[0. ]], | ||
| [[0.10000000]], | ||
| [[0.20000000]], | ||
| [[0.30000001]], | ||
| [[0.40000001]], | ||
| [[0.50000000]]]]) |
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整体缩进层级 -1 吧，Tensor 的 T 与 >>> 的第一个 > 对齐
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这个有什么规范么？在其他PR里（如 Net 网络打印）是与 print 单词对齐的。对于Tensor是与 >>> 第一个 > 对齐，似乎不太一致呢。
我先按照这里的意见缩进-1吧，好像我文件内自己就没有对齐😓
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这个有什么规范么？
输出统一与 > 对齐吧，不要与语句开始对齐
| [[0.50000000]]]]) | ||
| >>> y = F.channel_shuffle(x, 3) | ||
| >>> print(y) | ||
| Tensor(shape=[1, 6, 1, 1], dtype=float32, place=Place(cpu), stop_gradient=True, |
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| Tensor(shape=[1, 1, 3, 4], dtype=float64, place=Place(cpu), stop_gradient=True, | ||
| [[[[ 0.34000000, 0.01600000, 0.08600000, -0.44800000], | ||
| [ 0.55000000, -0.07600000, 0.35000000, 0.59000000], | ||
| [ 0.59600000, 0.38000000, 0.52000000, 0.24000000]]]]) |
| >>> x = paddle.randn([2, 1, 12, 12]) | ||
| >>> out = F.pixel_unshuffle(x, 3) | ||
| >>> print(out.shape) | ||
| >>> # [2, 9, 4, 4] |
BeingGod
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Sep 9, 2023
…n/paddle/nn/functional/vision.py (PaddlePaddle#56230) * [xdoctest][task 114] test=docs_preview * test=document_fix * test=document_fix * adjust indent --------- Co-authored-by: SigureMo <sigure.qaq@gmail.com>
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对应tracking issue: #55629
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