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Deep Learning for Computer Vision · End Term · 31 Aug 2025 · May 2025 term · Set QIA3

Question 2: Consider the following Pytorch code:\ x = torch.tensor([[…

Question 2

+2 marksOne correct option

Consider the following Pytorch code:
1. x = torch.tensor([[-3.,2.,3.],[4.,-5.,7.],[20.,3.,2.]])
2. print(torch.mean(x,dim=0,keepdim=True))
The output of the code is:

  1. A

    tensor([ 7., 0., 4.])

  2. B

    tensor([[ -7., 10., -4.]])

  3. C

    tensor([[ -7.],[7.],[4.]])

  4. D

    tensor([ -7., 7., 3.])

  5. E

    tensor([[7., 0., 4.]])

  6. F

    tensor([[ 0.],[7.],[4.]])

Show answer

Correct answer

  • E

    tensor([[7., 0., 4.]])

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Question 2 of 49 in the IIT Madras BS Deep Learning for Computer Vision (Deep Learning for Computer Vision) End Term paper sat on 31 Aug 2025, in the May 2025 term (IIT M IMPROVEMENT AN EXAM QIA3 31 Aug 2025). It carries 2 marks.

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