Flatten, Reshape, and Squeeze Explained - Tensors for Deep Learning with PyTorch

Oof, i think the bing chat can take that picture and be able to tell that the bridge is dangerous to cross right now meaning the future is now🎉

t.reshape(12) or t.reshape(-1)

t.flattern() makes my life simpler😅😂

Answer for flattening with reshaping : t.reshape([-1])

The other way to flatten the tensor is by using t = t.reshape( -1 ) in flatten(t) function

t.reshape(t.numel()) or t.reshape(tensor(t.shape).prod().... Either of these should work

Gratulations on your 100.000 followers here! :)

my answer (t.reshape(-1)). Without looking, I swear

def flatten(t):

return t.reshape(-1)

t.reshape(-1)

t = t.reshape(12)

r.reshape(1,torch.tensor(r.shape).prod()).squeeze() for a tensor r

Now do scatter()

t.reshape(1,-1)[0], better late than never :p

t.reshape(-1)

Very good.

best work u guys are doing, lot of hard work u both did ,to get this knowledge , love from India

Nice tutorial! It would be really great if you change the backsound while you write the code. Because it is not that comfortable to hear, especially when you hear with earphone.

t.reshape(12)

t.reshape(-1)