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【Hackathon 7th No.37】为 Paddle 代码转换工具新增 API 转换规则(第 4 组)-part #6884
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是的,请根据日志里的提示用precommit修改代码格式。 |
好的,请稍等 |
已经好了,劳烦review一下 |
### [paddle.gammainc](https://www.paddlepaddle.org.cn/documentation/docs/zh/develop/api/paddle/gammainc_cn.html#gammainc) | ||
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```python | ||
paddle.gammainc(x, y, name=None) |
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paddle也有类方法 paddle.Tensor.gammainc
类方法 尽量对应到 类方法,实在没有类方法,才对应到非类方法
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我在查文档的时候并没有找到对应的方法
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我在查文档的时候并没有找到对应的方法
不要查文档,不以文档为准,以代码为准。直接下一个paddle的源码、或者import一个最新版paddle
### [paddle.gammainc_](https://www.paddlepaddle.org.cn/documentation/docs/zh/develop/api/paddle/gammainc__cn.html#gammainc) | ||
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```python | ||
paddle.gammainc_(x, y, name=None) |
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同上
### [paddle.gammaincc](https://www.paddlepaddle.org.cn/documentation/docs/zh/develop/api/paddle/gammaincc_cn.html#gammaincc) | ||
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```python | ||
paddle.gammaincc(x, y, name=None) |
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同上
### [paddle.gammaincc\_](https://www.paddlepaddle.org.cn/documentation/docs/zh/develop/api/paddle/gammaincc__cn.html#gammaincc) | ||
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```python | ||
paddle.gammaincc_(x, y, name=None) |
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同上
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| PyTorch | PaddlePaddle | 备注 | | ||
| ------- | ------------ | --------------------------- | | ||
| - | x | 输入的方阵,类型为 Tensor。 | |
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类方法对应到非类方法,不用对比第一个,直接忽略
因此这种不叫参数名不一致
### [paddle.multigammaln_](https://www.paddlepaddle.org.cn/documentation/docs/zh/develop/api/paddle/multigammaln__cn.html#multigammaln) | ||
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```python | ||
paddle.multigammaln_(x, p, name=None) |
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paddle.Tensor.multigammaln_
### [paddle.linalg.householder_product](https://www.paddlepaddle.org.cn/documentation/docs/zh/2.6/api/paddle/linalg/householder_product_cn.html#householder-product) | ||
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```python | ||
paddle.linalg.householder_product(x, tau, name=None) |
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paddle.Tensor.householder_product
### [paddle.linalg.cholesky](https://www.paddlepaddle.org.cn/documentation/docs/zh/develop/api/paddle/linalg/cholesky_cn.html) | ||
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```python | ||
paddle.linalg.cholesky(x, upper=False, name=None) |
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cholesky_ex与cholesky是不是返回值不同,cholesky_ex会多返回一种info类型的
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对的,他会多返回一个info
| input | x | 表示输入参数为多维 Tensor,它的维度应该为 [*, M, N],其中*为零或更大的批次尺寸,并且最里面的两个维度上的矩阵都应为对称的正定矩阵,仅参数名不一致。 | | ||
| upper | upper | 表示是否返回上三角矩阵或下三角矩阵。 | | ||
| check_errors | - | 是否检查错误,paddle 暂不支持。 | | ||
| out | - | 表示输出的 Tensor ,Paddle 无此参数,需要转写。 | |
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docs/guides/model_convert/convert_from_pytorch/api_difference/linalg/torch.linalg.inv_ex.md
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@zhwesky2010 已经修改好了,PaConvert也已经同步修改了 |
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注意参数映射栏:先简述参数功能,再描述差异
out = x.igamma(y) | ||
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# Paddle 写法 | ||
out = .gammainc(y) |
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x掉了
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| PyTorch | PaddlePaddle | 备注 | | ||
| ------- | ------------ | ------------- | | ||
| other | y | 正参数 Tensor | |
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加一个 仅参数名不同
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| PyTorch | PaddlePaddle | 备注 | | ||
| ------- | ------------ | ------------- | | ||
| other | y | 正参数 Tensor | |
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加一个 仅参数名不同,一比一对照模板
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| PyTorch | PaddlePaddle | 备注 | | ||
| ------- | ------------ | ------------- | | ||
| other | y | 正参数 Tensor | |
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一比一对照模板写
@@ -0,0 +1,30 @@ | |||
<!-- |
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这些删掉
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| PyTorch | PaddlePaddle | 备注 | | ||
| ------------- | ------------ | ------------------------------------------------------ | | ||
| input2 | tau | 仅参数名字不一致 | |
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先简述下功能,再表明差异
一比一对照模板写
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```python | ||
# PyTorch 写法 | ||
torch.linalg.cholesky_ex(x, upper=False, out=output) |
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```python | ||
# PyTorch 写法: | ||
torch.linalg.inv_ex(x, out=y) |
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同上
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| PyTorch | PaddlePaddle | 备注 | | ||
| --------- | ------------ | ---------------------- | | ||
| input | x | 仅参数名字不一致 | |
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先简述功能,再描写差异
| other | other | 一致 | | ||
| left | left | 一致 | | ||
| transpose | transpose | 一致 | | ||
| out | - | paddle 无此参数,需转写 | |
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均同上
后续注意根据文档来实现Matcher,注意不要出现文档与Matcher的diff。 如果实现Matcher的过程中,发现文档有误,需及时更正文档。 |
抱歉,写的时候有点着急,不过这次可以了的 |
| ------------ | ------------ | ---------------------------------------------------------------------------------------------------------------------------------------------------- | | ||
| input | x | 表示输入参数为多维 Tensor,它的维度应该为 [*, M, N],其中*为零或更大的批次尺寸,并且最里面的两个维度上的矩阵都应为对称的正定矩阵,仅参数名不一致。 | | ||
| upper | upper | 表示是否返回上三角矩阵或下三角矩阵。 | | ||
| check_errors | - | 是否检查错误,paddle 暂不支持。 | |
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能否转写 要备注清楚
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## [ torch 参数更多 ]torch.linalg.cholesky_ex |
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根据分类的优先级排序,这个不能算做 torch参数更多,因为返回参数不同
torch.linalg.cholesky_ex(x, upper=False) | ||
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# Paddle 写法: | ||
## 注: 仅支持 check_errors=False 时的情况 |
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check_errors是否支持转写,要在上面写清楚
| PyTorch | PaddlePaddle | 备注 | | ||
| ------------ | ------------ | --------------------------------------------------------------------- | | ||
| A | x | 输入 Tensor,仅参数名不一致。 | | ||
| check_errors | - | 是否检查错误,paddle 暂不支持 | |
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是否支持转写,要写清楚
torch.linalg.inv_ex(x) | ||
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# Paddle 写法: | ||
## 注: 仅支持 check_errors=False 时的情况 |
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check_errors是否支持转写,要写清楚
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已经弄好了,单侧也已经好了
torch.Tensor.orgqr(input2) | ||
``` | ||
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### [paddle.Tensor.householder_product](https://www.paddlepaddle.org.cn/documentation/docs/zh/2.6/api/paddle/linalg/householder_product_cn.html#householder-product) |
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这些2.6统一都换成develop版本的
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# Paddle 写法 | ||
paddle.assign((paddle.linalg.cholesky(x, upper=False), paddle.zeros(x.shape[:-2], dtype='int64')),output) |
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这个语法上就不对,assign一次只能一个
| ------------ | ------------ | ---------------------------------------------------------------------------------------------------------------------------------------------------- | | ||
| input | x | 表示输入参数为多维 Tensor,它的维度应该为 [*, M, N],其中*为零或更大的批次尺寸,并且最里面的两个维度上的矩阵都应为对称的正定矩阵,仅参数名不一致。 | | ||
| upper | upper | 表示是否返回上三角矩阵或下三角矩阵。 | | ||
| check_errors | - | 是否检查错误,paddle 暂不支持,需转写,目前仅支持 check_errors 为 False 的情况。 | |
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| PyTorch | PaddlePaddle | 备注 | | ||
| ------------ | ------------ | --------------------------------------------------------------------- | | ||
| A | x | 输入 Tensor,仅参数名不一致。 | | ||
| check_errors | - | 是否检查错误,paddle 暂不支持,需转写,目前仅支持 check_errors 为 False 的情况。 | |
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这种参数应该不重要吧?只是增加一个检查而已,转换时直接去掉对网络的计算应该也不会有问题
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这个参数是不重要的,但是返回值是要有两个,就也加上去了的,不过现在是删掉了
torch.linalg.inv_ex(x, out=y) | ||
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# Paddle 写法: | ||
paddle.assign((paddle.linalg.inv(x), paddle.zeros(x.shape[:-2], dtype='int64')), y) |
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一次只能assign一个,语法完全不对
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```python | ||
# PyTorch 写法 | ||
y = torch.special.ndtr(a) |
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不需要加个y=
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这个是删掉了的
torch.special.ndtr(input, *, out=None) | ||
``` | ||
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Paddle 无此 API,需要组合实现。 |
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这种再加个公式吧,只看转写示例并不直观
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公式已经加了
开发注意事项:
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我是先写的docs,然后写的matcher,后面再根据matcher改的 |
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torch.linalg.cholesky_ex(x, upper=False) | ||
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# Paddle 写法: | ||
## 注: 仅支持 check_errors=False 时的情况 |
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这个还要吗
torch.linalg.inv_ex(x) | ||
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# Paddle 写法: | ||
## 注: 仅支持 check_errors=False 时的情况 |
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这个还要吗
| upper | upper | 表示是否返回上三角矩阵或下三角矩阵。 | | ||
| check_errors | - | 是否检查错误,Paddle 无此参数,一般对网络训练结果影响不大,可直接删除。 | | ||
| out | - | 表示输出的 Tensor ,Paddle 无此参数,需要转写。 | | ||
| 返回值 | 返回值 | Pytorch 返回两个 out 与 info,Paddle 仅返回一个 Tensor:out,需转写。 | |
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返回值这个还是需要转写的,我的意思是 你不用再注释强调仅支持 check_errors=False 这句话
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懂了,那个强调不需要,我都觉得返回值不转写太奇怪了
| A | x | 输入 Tensor,仅参数名不一致。 | | ||
| check_errors | - | 是否检查错误,Paddle 无此参数,一般对网络训练结果影响不大,可直接删除。 | | ||
| out | - | 表示输出的 Tensor , Paddle 无此参数,需要转写。 | | ||
| 返回值 | 返回值 | Pytorch 返回两个 out 与 info,Paddle 仅返回一个 Tensor:out,需转写。 | |
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返回值这个还是需要转写的,我的意思是 你不用再注释强调仅支持 check_errors=False 这句话
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已经好了的
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LGTM
后续注意事项:
- 后续根据该文档来实现Matcher,注意不要出现文档与Matcher的diff。
- 如果实现Matcher的过程中,发现文档有误,需及时回头更正文档。
好的 |
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