Why does Dropout not change my input tensor?
Please see the following code associated with output,
import torch
import torch.nn as nn
inputTensor = torch.tensor([1.0, 2.0, 3, 4, 5])

outplace_dropout = nn.Dropout(p=0.4)
print(inputTensor)
output_afterDropout = outplace_dropout(inputTensor)
print(output_afterDropout)
print(inputTensor)

The output is:
tensor([1., 2., 3., 4., 5.])
tensor([1.6667, 3.3333, 0.0000, 6.6667, 0.0000])
tensor([1., 2., 3., 4., 5.])

Could you please elaborate why the input tensor values are still unchanged?

From the documentation of torch.nn.Dropout, you can see that the inplace argument defaults to False. If you wish to change the input tensor in place, change the initialization to:
outplace_dropout = nn.Dropout(p=0.4, inplace=True)

