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Deep Learning Practice · Quiz 2 · 12 Apr 2026 · January 2026 term

Question 2: When using Wav2Vec2Model to extract hidden states for a d…

Question 2

+4 marksOne correct option

When using Wav2Vec2Model to extract hidden states for a downstream task, you set in the model call. In PyTorch, what is the most efficient way to ensure the model does not calculate gradients or update weights during this feature extraction process, thereby saving memory and computation?

  1. A

    Use before passing the audio through the model.

  2. B

    Wrap the extraction code block with the : context manager.

  3. C

    Manually set each layer's attribute to False using a for loop before every forward pass.

  4. D

    Use the function on the output tensor to remove unnecessary dimensions.

Show answer

Correct answer

  • B

    Wrap the extraction code block with the : context manager.

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Question 2 of 18 in the IIT Madras BS Deep Learning Practice (Deep Learning Practice) Quiz 2 paper sat on 12 Apr 2026, in the January 2026 term (Deep Learning Practice 06 Apr 26). It carries 4 marks.

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