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Introduction to Deep Learning and Generative AI · Quiz 2 · 23 Nov 2025 · September 2025 term

Question 2: You have a PyTorch tensor residing on the GPU. You then a…

Question 2

+1 markOne correct option

You have a PyTorch tensor

python
gpu_tensor = torch.tensor([1, 2, 3]).to('cuda')

residing on the GPU. You then attempt to convert it directly to a NumPy array using

python
numpy_array = gpu_tensor.numpy()

What will be the outcome of this operation?

  1. A

    It will successfully convert gpu_tensor to a NumPy array on the CPU.

  2. B

    It will successfully convert gpu_tensor to a NumPy array that also resides on the GPU.

  3. C

    It will raise a RuntimeError because NumPy arrays cannot directly operate on GPU memory.

  4. D

    It will create a view of the gpu_tensor on the CPU without copying data.

  5. E

    The numpy() method is not available for GPU tensors.

Show answer

Correct answer

  • C

    It will raise a RuntimeError because NumPy arrays cannot directly operate on GPU memory.

See the whole paperTake it as a mock test

Question 2 of 25 in the IIT Madras BS Introduction to Deep Learning and Generative AI (Deep Learning and GenAI) Quiz 2 paper sat on 23 Nov 2025, in the September 2025 term (IIT M DIPLOMA AN EXAM QDD2 23 Nov 2025 NEW). It carries 1 mark.

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