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Introduction to Deep Learning and Generative AI · End Term · 10 May 2026 · January 2026 term · Set S2

Question 10: You are given:\ Image size: 64 × 64 • Patch size: 16 × 1…

Question 10

+4 marksOne correct option

You are given:
• Image size: 64 × 64 • Patch size: 16 × 16 • Number of input channels: 3 (RGB) • Embedding dimension: 128
You want to implements patch embedding using a single nn.Conv2d layer in PyTorch such that:
• Each patch becomes one token. • The convolution extracts non-overlapping patches. • The output shape becomes:
(B, 128, 4, 4)
where B is batch size.
You write:

Which of the following configurations correctly implement non-overlapping 16×16 patches?

  1. A

    kernel_size = 3, stride = 1, padding = 1

  2. B

    kernel_size = 16, stride = 8, padding = 0

  3. C

    kernel_size = 16, stride = 16, padding = 0

  4. D

    kernel_size = 4, stride = 4, padding = 0

Show answer

Correct answer

  • C

    kernel_size = 16, stride = 16, padding = 0

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Question 10 of 24 in the IIT Madras BS Introduction to Deep Learning and Generative AI (Deep Learning and GenAI) End Term paper sat on 10 May 2026, in the January 2026 term (Introduction To Deep Learning And Generative Ai 06 May 26 (Session 2)). It carries 4 marks.

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