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require 'image';


    

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itorch.image({image.lena(), image.lena(), image.lena()})


    

    
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require 'nn'
m=nn.SpatialConvolution(3,32,25,25)
itorch.image(m.weight)


    

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itorch.audio('volkswagen.mp3')


    

    





   







    
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itorch.video('small.mp4')


    

    





   







    
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itorch.html('<p><b>Hi there!</b> this is arbitrary HTML</p>');


    

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x1 = torch.randn(40):mul(100)
y1 = torch.randn(40):mul(100)
x2 = torch.randn(40):mul(100)
y2 = torch.randn(40):mul(100)
x3 = torch.randn(40):mul(200)
y3 = torch.randn(40):mul(200)


    

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Plot = require 'itorch.Plot'


    

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?torch.cmul


    

    
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+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
[res] torch.cmul([res,] tensor1, tensor2)


Element-wise multiplication of tensor1 by tensor2 . The number
of elements must match, but sizes do not matter.
 > x = torch.Tensor(2,2):fill(2)
> y = torch.Tensor(4):fill(3)
> x:cmul(y)
> = x
 6  6
 6  6
[torch.Tensor of dimension 2x2] 

 z=torch.cmul(x,y) returns a new tensor.

 torch.cmul(z,x,y) puts the result in z .

 y:cmul(x) multiplies all elements of y with corresponding elements 
of x .

 z:cmul(x,y) puts the result in z .	
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++	

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plot = Plot():circle(x1, y1, 'red', 'hi'):circle(x2, y2, 'blue', 'bye'):draw()
plot:circle(x3,y3,'green', 'yolo'):redraw()
plot:title('Scatter Plot Demo'):redraw()
plot:xaxis('length'):yaxis('width'):redraw()
plot:legend(true)
plot:redraw()


    

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-- line plots
plot = Plot():line(x1, y1,'red','example'):legend(true):title('Line Plot Demo'):draw()


    

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-- segment plots
plot = Plot():segment(x1, y1, x1+10,y1+10, 'red','demo'):title('Segment Plot Demo'):draw()


    

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-- quiver plots
xx = torch.linspace(-3,3,10)
yy = torch.linspace(-3,3,10)
local function meshgrid(x,y)
   local xx = torch.repeatTensor(x, y:size(1),1)
   local yy = torch.repeatTensor(y:view(-1,1), 1, x:size(1))
    return xx, yy
end
Y, X = meshgrid(xx, yy)
U = -torch.pow(X,2) + Y -1
V =  X - torch.pow(Y,2) +1
plot = Plot():quiver(U,V,'red','',10):title('Quiver Plot Demo'):draw()


    

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-- quads/rectangles
x1=torch.randn(10)
y1=torch.randn(10)
plot = Plot():quad(x1,y1,x1+1,y1+1,'red',''):draw()


    

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-- histogram
x=torch.randn(10000)
lx = torch.log(x):add(1)
plot = Plot():histogram(x):histogram(lx):title('Histogram of a gaussian draw'):draw()


    

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