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映射文档 No. 59 #5857
映射文档 No. 59 #5857
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感谢你贡献飞桨文档,文档预览构建中,Docs-New 跑完后即可预览,预览链接:http://preview-pr-5857.paddle-docs-preview.paddlepaddle.org.cn/documentation/docs/zh/api/index_cn.html |
@Tomoko-hjf 您好!麻烦审查一下,有问题我再修改,谢谢~ |
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统一将pytorch链接换为 1.13 版本下的吧~
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## [ torch 参数更多 ] torch.Tensor.bernoulli | |||
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### [torch.Tensor.bernoulli](https://pytorch.org/docs/stable/generated/torch.Tensor.bernoulli.html#torch-tensor-bernoulli) |
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paddle.bernoulli(x, name=None) | ||
``` | ||
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其中 torch 是类成员函数,而 paddle 是非类成员函数,因此第一个参数 `x` 不进行对比,Pytorch 相比 Paddle 支持更多其他参数,具体如下: |
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直接写 其中 Pytorch 相比 Paddle 支持更多其他参数,具体如下:
即可,前面那句话可以不用写~
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## [ torch 参数更多 ] torch.Tensor.bfloat16 | |||
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### [torch.Tensor.bfloat16](https://pytorch.org/docs/stable/generated/torch.Tensor.bfloat16.html#torch-tensor-bfloat16) |
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链接改为 1.13 版本下的~
| PyTorch | PaddlePaddle | 备注 | | ||
| ------------- | ------------ | ----------------------------------------------------------------------------------- | | ||
| other | y | 表示输入的 Tensor ,仅参数名不一致。 | | ||
| rounding_mode | - | 用于指定在执行截断除法时的舍入模式。可选值为 'floor'(向下取整) 或 'trunc'(截断)。Paddle 无此功能,暂无转写方式。| |
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trunc可以写为 向零取整
这里可以通过paddle.trunc()和paddle.floor()转写完成
import paddle
a = paddle.to_tensor([0.9, 1.2])
b = paddle.to_tensor([-0.2, 0.7])
res1 = a.divide(b).trunc() # 向零取整
res2 = a.divide(b).floor() # 向下取整
print(res1)
print(res2)
| PyTorch | PaddlePaddle | 备注 | | ||
| ------------- | ------------ | ----------------------------------------------------------------------------------- | | ||
| other | y | 表示输入的 Tensor ,仅参数名不一致。 | | ||
| rounding_mode | - | 用于指定在执行截断除法时的舍入模式。可选值为 'floor'(向下取整) 或 'trunc'(截断)。Paddle 无此功能,暂无转写方式。| |
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和上面一个转写方式一样
缺失一个文档是已经存在了吗,如果没有对应功能,可以在评论中说明是哪个api |
@Tomoko-hjf 您好!上述您说的问题我都已经进行了修改,其中torch.Tensor.copy_的映射文档已经存在了,其他的麻烦您审查,谢谢~ |
@Tomoko-hjf 您好!我又检查了torch.Tensor.copy_已存在的映射文档,更新了链接和文档格式,请审查,谢谢~ |
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LGTM
@zhwesky2010 您好!麻烦您审查,谢谢~ |
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LGTM
hi, @wenyin
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* 映射文档 No. 59 * 映射文档 No. 59 * 映射文档 No. 59
完成 #5691 中No.59的文档映射工作,其中新增9个api映射文档,有问题请联系