Implement the forward masking process for a masked diffusion LM (mask a $t$ of to

Easy

Diffusion & Non-Autoregressive Language Models1 / 4

Chapter 221 / 4

Diffusion & Non-Autoregressive Language Models

Implement the forward masking process for a masked diffusion LM (mask a $t$ of to

Easy

Implement the forward masking process for a masked diffusion LM (mask a $t$ of tokens).

Target interface

forward_mask(x0, t, mask_id)

Implement the function/class skeleton in the editor. Any correct approach is accepted.

Hints0 / 2

Reference solution

Your own code stays in the editor.

solution.pyPython

Local draft

import torch

def forward_mask(x0, t, mask_id):
    raise NotImplementedError

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Chapter 221 / 4

Diffusion & Non-Autoregressive Language Models

Implement the forward masking process for a masked diffusion LM (mask a $t$ of to

Easy

Implement the forward masking process for a masked diffusion LM (mask a $t$ of tokens).

Target interface

forward_mask(x0, t, mask_id)

Implement the function/class skeleton in the editor. Any correct approach is accepted.

Hints0 / 2

Reference solution

Your own code stays in the editor.