Pytoch (IV) -- visual tool visdom

1. install

pip install visdom

2 Usage flow

2.1 Turn on visdom Of web The server

python -m visdom.server

2.2 Visual categories and related parameters

2.2.1 Curve Visualization

from visdom import Visdom
vis = Visdom()
vis.line(Y=[[0,0]],
			X=[0],
			win=" This is a small window title",
			env=" This is for the big window title", #  The default is main
			opts=dict(title="change_x_y",legend=["x","y"]) #  You can set the graphic title and title
			) #  Initialize the curve 
vis.line([[Tensor.item()],
			[Tensor.item()],
			win="change_X",
			update="append") #  Append curve data 

from visdom import Visdom
import torch
from torch import nn
import torch.nn.functional as F
vis = Visdom()
vis.line(Y=[[0,0]],X=[0],win="change_X",env="main",opts=dict(title="change_x_y",legend=["x","y"]))
def f(x):
    return x[0]**2 + x[1]**2
x = torch.tensor([100.,90.],requires_grad=True)
opt = torch.optim.Adam([x],lr = 0.1)
epochs = 1000
for i in range(epochs):
    y = f(x)
    opt.zero_grad()
    y.backward()
    opt.step()
    vis.line([[x[0].item(),x[1].item()]],[i],win="change_X",update="append")
    

2.2.2 Picture Visualization

from visdom import Visdom
vis = Visdom()
vis.image(img=data.view(-1,1,28,28),
			win=" This is a small window title",
			env=" This is for the big window title", #  The default is main
			) #  Initialize the curve 

2.2.3 Text visualization

from visdom import Visdom
vis = Visdom()
vis.text(text=str(Tensor.cpu().numpy()),
			win=" This is a small window title",
			env=" This is for the big window title", #  The default is main
			) #  Initialize the curve 

from visdom import Visdom
import torch
from torch import nn
import torch.nn.functional as F
vis = Visdom()
label = torch.arange(100)
vis.text(str(label.cpu().numpy()),win=" Text display ",env="main")
    

by CyrusMay 2022 06 29

Most profound The story of Most eternal The legend of
however It's you Is my can Ordinary life
—————— May day （ Because of you So I ）——————