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【Hackathon No.6】implement nan_to_num #42469

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merged 9 commits into from Oct 25, 2022

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tiancaishaonvjituizi
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@tiancaishaonvjituizi tiancaishaonvjituizi commented May 4, 2022

PR types

New features

PR changes

OPs

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实现 nan_to_num

Hackathon issue:#40329
Hackathon RFC:PaddlePaddle/community#93

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paddle-bot-old bot commented May 4, 2022

你的PR提交成功,感谢你对开源项目的贡献!
请关注后续CI自动化测试结果,详情请参考Paddle-CI手册
Your PR has been submitted. Thanks for your contribution!
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paddle.disable_static(place=self.place)

with paddle.fluid.dygraph.guard():
x_np = np.array([[1, np.nan, -2], [np.inf, 0, -np.inf]]).astype(np.float32)
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为什么只测试了 np.float:

因为只要把 x_np 的 dtype 设置为 np.float64,在 paddle/fluid/imperative/prepared_operator.h:586 就会报错说 "nan" 这个属性的 dtype 不支持,设置 GLOG_v=10 看日志发现,x_np 为 np.float64 时,"nan" 的 dtype 也被认为是 double(这一点就很奇怪),我尝试在 paddle/fluid/imperative/prepared_operator.h:529 的 switch 里加入 FLOAT64 的支持,结果仍然会报错,错误信息是

ValueError: (InvalidArgument) boost::get failed, cannot get value (attr) by type double, its type is float.

所以这应该是 paddle 内部的一个 bug,超出了本 PR 的范围

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这样会不支持float64的kernel了,float64目前有OP bug需要修复。

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是说 paddle 自己有 bug 吗

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不是paddle,应该是OP定义那里,定义那里如果还不支持double,就先用float吧

template <typename T, typename Context>
void NanToNumKernel(const Context& ctx,
const DenseTensor& x,
T nan,
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这里的nan/posinf/neginf应该和nan_to_num_op.cc中的OP定义保持一致,是float类型,所以导致了下面的这个问题

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当时是因为 paddle 新版的 codegen 不支持 double 类型,所以 op 定义用了 float。我试试把 codegen 的 bug 修一下然后都设置成 double

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如果AddAttr("nan", "(float) the value to replace NaNs with."),用了float,这里也需要用float。这些参数全部用float就可以吧

paddle.disable_static(place=self.place)

with paddle.fluid.dygraph.guard():
x_np = np.array([[1, np.nan, -2], [np.inf, 0, -np.inf]]).astype(np.float32)
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这样会不支持float64的kernel了,float64目前有OP bug需要修复。

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GPU下现在编不过,需要修一下
infoflow 2022-05-09 19-19-00

@tiancaishaonvjituizi
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GPU下现在编不过,需要修一下

这个错误我完全没有头绪,只在 windows 下会出现,涉及到的函数 ”_fdtest“ 并不是我写的,而且我的写法和 eye_kernel_impl.h 是一样的,不知道为什么会出错。paddle 官方开发者对这个错误有什么想法吗

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GPU下现在编不过,需要修一下

这个错误我完全没有头绪,只在 windows 下会出现,涉及到的函数 ”_fdtest“ 并不是我写的,而且我的写法和 eye_kernel_impl.h 是一样的,不知道为什么会出错。paddle 官方开发者对这个错误有什么想法吗

这个是说不能从__global__里调__host__主机函数,推测是std::isnanstd::numeric_limits<T>::infinity 这两个函数的问题

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@zhouwei25 我已经参考 pytorch 修改了 isnan 相关的实现,现在应该没有问题了。但现在 ci 有很多奇怪的错误(网络问题、test_parallel_dygraph_unused_variables_gloo 超时等),该怎么操作呢

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@zhouwei25 现在 CI 几乎都过了

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LGTM

zhwesky2010
zhwesky2010 previously approved these changes May 16, 2022
@tiancaishaonvjituizi
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@zhouwei25 所有 CI 已过,只差 api 改动所需的 approve 了

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Ligoml commented May 17, 2022

@tiancaishaonvjituizi 需要在paddle/docs下同步添加中文文档哈,这里有一些参考文档:API书写规范文档预览工具中文API文档复制英文API文档示例代码

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@Ligoml 本 PR 中的 review 意见已修复,中文文档稍后提交

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嗯如果不赞同C++的当前实现方案,那建议就还是由paddle.where组装吧,这个inf的API bug目前已经通知去修复了

嗯,那就先等待修复吧

equal判断 inf==inf 的API bug已修复,麻烦看看还有没有其他问题

Signed-off-by: tiancaishaonvjituizi <452565578@qq.com>
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tiancaishaonvjituizi commented Aug 13, 2022

嗯如果不赞同C++的当前实现方案,那建议就还是由paddle.where组装吧,这个inf的API bug目前已经通知去修复了

嗯,那就先等待修复吧

equal判断 inf==inf 的API bug已修复,麻烦看看还有没有其他问题

真的还有(哭笑不得),用 np.finfo(np.float64).max 给 paddle float64 tensor 赋值变成了 inf:

>>> x=torch.empty(2, dtype=torch.float64)
>>> torch.full_like(x, np.finfo(np.float64).max)
tensor([1.7977e+308, 1.7977e+308], dtype=torch.float64)
>>> x=paddle.to_tensor([1,1], dtype=paddle.float64)
>>> paddle.full_like(x, np.finfo(np.float64).max)
Tensor(shape=[2], dtype=float64, place=Place(gpu:0), stop_gradient=True,
       [inf., inf.])

可能是哪里的中间变量数据类型被误用了 float32 而不是 float64,因为我观察到下面的现象:

>>> paddle.full_like(x, np.finfo(np.float32).max)
Tensor(shape=[2], dtype=float64, place=Place(gpu:0), stop_gradient=True,
       [340282346638528859811704183484516925440.,
        340282346638528859811704183484516925440.])
>>> paddle.full_like(x, np.finfo(np.float32).max*2)
Tensor(shape=[2], dtype=float64, place=Place(gpu:0), stop_gradient=True,
       [inf., inf.])

现在 nan_to_num float32 的测试已经过了,代码已上传。有一说一,我觉得我真的仁至义尽了。一个简简单单的 api,approve 后又一刀切要求做巧妇难为无米之炊的重写,接着经过反复拉扯终于确定了可行的重写方案,又接二连三遇到 paddle 的各种 bug。要不您跟您的领导反映一下,我已经把这个 api 基本实现了,剩下的问题只有 paddle 自己的 bug,您或者您的领导 @jeff41404 @zhouwei25 自己继续推动这个 api 吧,我仁至义尽了,一开始就表达过,我现在在做的事情是情分不是本分

Signed-off-by: tiancaishaonvjituizi <452565578@qq.com>
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zhwesky2010 commented Aug 16, 2022

OK,我们来处理这些问题

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zhwesky2010 commented Sep 9, 2022

@tiancaishaonvjituizi 你好,我们正在开展OP attribute不支持double类型的工作,但由于涉及到底层OP架构修改和API/OP的不兼容升级改动,时间跨度可能较长。经过内部讨论,当前nan_to_num API开发先暂时绕过,支持float32类型的单测即可,float64单测case先写上但是先注释掉就可以。

Signed-off-by: tiancaishaonvjituizi <452565578@qq.com>
Signed-off-by: tiancaishaonvjituizi <452565578@qq.com>
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@zhouwei25 ok 了,留了一个 float32 的测试

self.place = paddle.CUDAPlace(0) if core.is_compiled_with_cuda() \
else paddle.CPUPlace()

# def test_static(self):
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静态图float32可以通过单测吗?float64暂不用管,可以屏蔽单测


paddle.enable_static()

# def test_check_grad(self):
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反向float32可以通过单测吗?float64暂不用管,可以屏蔽单测

Signed-off-by: tiancaishaonvjituizi <452565578@qq.com>
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Ligoml commented Oct 24, 2022

image

重新跑一下pre-commit吧

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重新跑一下pre-commit吧

好(

Signed-off-by: tiancaishaonvjituizi <452565578@qq.com>
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tiancaishaonvjituizi commented Oct 24, 2022

@Ligoml 该怎么让 pre-commit 重新安装格式化工具呢?我这里的 yapf 版本似乎和 CI 里用的 yapf 版本不同,得不到和 CI 一样的格式化结果,我暂时按照 CI 输出的 diff 手动格式化了

Signed-off-by: tiancaishaonvjituizi <452565578@qq.com>
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luotao1 commented Oct 24, 2022

2022-10-24 15:51:31 Your PR code style check failed.
2022-10-24 15:51:31 Please install pre-commit locally and set up git hook scripts:
2022-10-24 15:51:31 
2022-10-24 15:51:31     pip install pre-commit==2.17.0
2022-10-24 15:51:31     pre-commit install
2022-10-24 15:51:31 
2022-10-24 15:51:31 Then, run pre-commit to check codestyle issues in your PR:
2022-10-24 15:51:31 
2022-10-24 15:51:31     pre-commit run --files python/paddle/__init__.py python/paddle/fluid/tests/unittests/test_nan_to_num_op.py python/paddle/tensor/__init__.py python/paddle/tensor/math.py
2022-10-24 15:51:31 

我这里的 yapf 版本似乎和 CI 里用的 yapf 版本

develop分支于昨天刚刚从yapf版本升级到black版本。需要先merge下develop分支,然后按上面的步骤操作下,会自动格式化的。

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develop分支于昨天刚刚从yapf版本升级到black版本。需要先merge下develop分支,然后按上面的步骤操作下,会自动格式化的。

好的,给力

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LGTM

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LGTM

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LGTM for docs

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image

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有两个小问题可以在下一个PR里补充

paddle.enable_static()


# class BaseTestCases:
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可以在下一个PR里加一个注释说明下这些单测注释的原因

dx = paddle.grad(y, x_tensor)[0].numpy()

np_grad = np_nan_to_num_grad(x_np, np.ones_like(x_np))
self.assertTrue(np.allclose(np_grad, dx))
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2022-10-25 11:07:01 0. It is recommended to use 'np.testing.assert_allclose' and 'np.testing.array_equal' instead of 'self.assertTrue(np.allclose(...))' and 'self.assertTrue(np.array_equal(...))'.
2022-10-25 11:07:01 Please modify the code below. If anything is unclear, please read the specification [ https://github.com/PaddlePaddle/community/blob/master/rfcs/CodeStyle/20220805_code_style_improvement_for_unittest.md#background ]. If it is a mismatch, please request qili93 (Recommend) or luotao1 review and approve.

image

单测报错信息进行了升级,可以在下一个PR里根据提示使用np.testing.assert_allclose代替单测里的self.assertTrue(np.allclose

@luotao1 luotao1 merged commit 9507969 into PaddlePaddle:develop Oct 25, 2022
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