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【PaddlePaddle Hackathon 2】16 新增 API RRelu #41823

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merged 29 commits into from May 31, 2022

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thunder95
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@thunder95 thunder95 commented Apr 14, 2022

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New features

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APIs

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完成第二期第16项目开发任务: #40317
RRELU激活函数是从Empirical Evaluation of Rectified Activations in Convolutional Network中提出的,它是在Leaky ReLU基础上,对每一个位置的负值输入线性项做了随机采样 ,来加强一定范围内的泛化能力。
RFC设计文档: PaddlePaddle/community#71
中文文档: PaddlePaddle/docs#4725

@paddle-bot-old paddle-bot-old bot added contributor External developers status: proposed labels Apr 14, 2022
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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!
Please wait for the result of CI firstly. See Paddle CI Manual for details.

@dingjiaweiww
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请先通过CI噢~

@@ -0,0 +1,153 @@
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
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2016->2022,其他文件自查一下吧

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完成

[ 6.0, 7.0, 8.0, 9.0]]]], 'float64')
x = paddle.to_tensor(data)
m = paddle.nn.RReLU(0.1, 0.3)
out = m(x)
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示例代码需要正式一点,不能用m这种随意的名字,最好名字能看出来表示的功能

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完成

public:
using framework::OperatorWithKernel::OperatorWithKernel;

void InferShape(framework::InferShapeContext* ctx) const override {
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正向的infershape已经放到phi里了,反向的infershape也一起放过去吧

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完成


if (is_test) {
for (i = 0; i < numel; i++) {
T mid_val = static_cast<T>((lower + upper) / 2.0);
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这个mid_val计算可以放到for循环外边吧

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完成

ALL_LAYOUT,
phi::RReluKernel,
float,
phi::dtype::float16,
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这个float16 cpu kernel也注册上吧

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完成

self.x_shape = [2, 3, 4, 5]

def init_attr(self):
self.attrs = {'lower': self.lower, "upper": self.upper, "is_test": True}
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is_test: False的情况也需要测试

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完成,因opt_test的输出校验在1e-7范围内而noise是随机的,所以将lower和upper差距调到尽可能小来测试。

name="x", shape=self.x_np.shape, dtype="float64")
x_2 = paddle.fluid.data(
name="x2", shape=self.x_np.shape, dtype="float64")
out_1 = F.rrelu(x_1, self.lower_0, self.upper_0, training=False)
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training=True的情况也需要测试

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@zhiboniu training的时候noise和输出都是随机的,然而在optest中的输出都是固定的,请问老师有什么建议?可以将lower和upper设置成一样的值么?

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可以试一下固定seed结果能不能固定。如果还是不行我看你现在检测范围是否在[lowerx, upperx]也可以。

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完成

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1.fix_seed这个参数应该不需要,seed 也不需要,目前的2.0后的写法是直接从generator中获取seed,不需要单独去给OP设置一个seed。

auto gen_cuda = ctx.GetGenerator();
uint64_t seed = seed_offset.first;
uint64_t offset = seed_offset.second;

2.GPU kernel 参考下 https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/fluid/operators/exponential_op.cu#L29-L31 中的简洁写法:

using MT = typename kps::details::MPTypeTrait<T>::Type;
funcs::uniform_distribution<MT> dist;
funcs::uniform_real_transform<MT> trans(min, max);
funcs::distribution_and_transform<T>(dev_ctx, out, dist, trans);

调用https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/phi/kernels/funcs/distribution_helper.h 已经封装好的函数即可。不要用thrust库,这个性能不太好。可以参考下https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/phi/kernels/gpu/poisson_kernel.cu 比较新的写法

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thunder95 commented May 5, 2022

请注意补充中文文档啊

@zhiboniu 已补充, 但未通过CI, 不知为什么会参数名称校验失败

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随机数改成调封装好的函数吧(具体可以参考现有调用的代码): funcs::uniform_distribution dist; funcs::uniform_real_transform trans(min, max); funcs::distribution_and_transform(dev_ctx, out, dist, trans);

已修改 @zhiboniu

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1.fix_seed这个参数应该不需要,seed 也不需要,目前的2.0后的写法是直接从generator中获取seed,不需要单独去给OP设置一个seed。

auto gen_cuda = ctx.GetGenerator();
uint64_t seed = seed_offset.first;
uint64_t offset = seed_offset.second;

2.GPU kernel 参考下 https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/fluid/operators/exponential_op.cu#L29-L31 中的简洁写法:

using MT = typename kps::details::MPTypeTrait<T>::Type;
funcs::uniform_distribution<MT> dist;
funcs::uniform_real_transform<MT> trans(min, max);
funcs::distribution_and_transform<T>(dev_ctx, out, dist, trans);

调用https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/phi/kernels/funcs/distribution_helper.h 已经封装好的函数即可。不要用thrust库,这个性能不太好。可以参考下https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/phi/kernels/gpu/poisson_kernel.cu 比较新的写法

@zhouwei25 谢谢老师指导,已完成修改意见,麻烦看看这样改是否可以。

@@ -436,6 +436,75 @@ def extra_repr(self):
name_str)


class RReLU(Layer):
"""
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image

格式混乱,请参考API文档规范修改

@@ -548,6 +548,102 @@ def prelu(x, weight, data_format="NCHW", name=None):
return out


def rrelu(x, lower=1. / 8., upper=1. / 3., training=True, name=None):
"""
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image

一样的,格式混乱

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尝试着修改了一下,但不知道怎么预览,如果可以就先自己检查了。

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中英文预览都在docs的pr里面,可以参考文档

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英文的公式还是稍微有点显示错误

:name: RReLU-example

import paddle
import numpy as np
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代码示例中不需要import numpy,可以使用paddle.to_tensor来生成输入数据

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已修改

"""
rrelu activation.

`Empirical Evaluation of Rectified Activations in Convolutional Network`: https://arxiv.org/abs/1505.00853
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@Ligoml Ligoml May 10, 2022

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  • 把论文的超链接加在论文标题上
  • 描述里可以多加一些介绍性内容,对用户友好一些
  • 英文公式显示方面还是有些问题

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@Ligoml 已修改这三点, 但是预览文档页面只找到该API的中文文档,没有这个api的英文文档, 是遗漏什么操作或是需要等?

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需要paddle的PR-CI-Build跑完才会有英文文档预览~

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1.fix_seed这个参数应该不需要,seed 也不需要,目前的2.0后的写法是直接从generator中获取seed,不需要单独去给OP设置一个seed。

auto gen_cuda = ctx.GetGenerator();
uint64_t seed = seed_offset.first;
uint64_t offset = seed_offset.second;

2.GPU kernel 参考下 https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/fluid/operators/exponential_op.cu#L29-L31 中的简洁写法:

using MT = typename kps::details::MPTypeTrait<T>::Type;
funcs::uniform_distribution<MT> dist;
funcs::uniform_real_transform<MT> trans(min, max);
funcs::distribution_and_transform<T>(dev_ctx, out, dist, trans);

调用https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/phi/kernels/funcs/distribution_helper.h 已经封装好的函数即可。不要用thrust库,这个性能不太好。可以参考下https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/phi/kernels/gpu/poisson_kernel.cu 比较新的写法

@zhouwei25 谢谢老师指导,已完成修改意见,麻烦看看这样改是否可以。

这样实现可以的,直接调funcs里的随机数公共组件就可以了

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LGTM

\right.

where :math:`x` is the input tensor,
:math:`lower` and :math:`upper` are the bounds of uniform distribution.
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image

比之前好多了,但还是有些不太对

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@Ligoml Ligoml May 18, 2022

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中文是正常显示的,等下我重新构建一个预览看看

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公式是从代码里直接拷贝到中文文档的,二者是一样的,不清楚为什么英文的还是有问题 @Ligoml

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可以试试在文档最前方加一个 “r”

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LGTM for docs

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the design of paddle.nn.functional.rrelu should also be add in RFC

@thunder95
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the design of paddle.nn.functional.rrelu should also be add in RFC

@jeff41404 done. pr link: PaddlePaddle/community#137

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LGTM

@@ -0,0 +1,326 @@
# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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2018->2022,后面可以再追加个PR更新下

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好的

@jeff41404 jeff41404 merged commit 21e1d10 into PaddlePaddle:develop May 31, 2022
fuyou765 pushed a commit to fuyou765/Paddle that referenced this pull request Jun 7, 2022
* rrelu逻辑部分

* unregistered op kernel (unresolved)

* commit before merge

* 丰富测试用例

* 修复rrelu-sig的bug

* 修复cpu环境测试

* 修改拼写错误

* 修改code format

* 尝试优化测试用例timeout的问题

* 优化测试用例

* 移除seed, 优化随机函数

* update en doc for rrelu

* fix rrelu en docs, test=document_fix

* add paper link for en docs, test=document_fix

* udpate en doc

* add r,test=document_fix
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9 participants