longlongvip

UUID生成

import uuid
uuid_gen = uuid.uuid4()
print(uuid_gen)

for(int index = 0; index < length; ++index)
{
    if(index >= length)
    {
        break;
    }
    //do something
}

例子：123 --> 00123 代码：

n = "123"
s = n.zfill(5)
print(s)

例子：-123 --> -0123 代码：

	import numpy as np
	import torch
	import torch.nn as nn
	import torch.nn.functional as F


	# 支持多分类和二分类
	class FocalLoss(nn.Module):
	"""
	This is a implementation of Focal Loss with smooth label cross entropy supported which is proposed in

	import torch
	import torch.nn as nn
	import torchvision


	class NonLocalBlock(nn.Module):
	def __init__(self, channel):
	super(NonLocalBlock, self).__init__()
	self.inter_channel = channel // 2
	self.conv_phi = nn.Conv2d(in_channels=channel, out_channels=self.inter_channel, kernel_size=1, stride=1,padding=0, bias=False)