Implement next-token cross-entropy for a batch of logits/targets in numpy with padding mas

Easy

Pretraining Objectives & Scaling Laws1 / 4

Chapter 051 / 4

Pretraining Objectives & Scaling Laws

Implement next-token cross-entropy for a batch of logits/targets in numpy with padding mas

Easy

Implement next-token cross-entropy for a batch of logits/targets in numpy with padding masking.

Target interface

next_token_ce(logits, targets, mask=None)

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 numpy as np

def next_token_ce(logits, targets, mask=None):
    raise NotImplementedError

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Chapter 051 / 4

Pretraining Objectives & Scaling Laws

Implement next-token cross-entropy for a batch of logits/targets in numpy with padding mas

Easy

Implement next-token cross-entropy for a batch of logits/targets in numpy with padding masking.

Target interface

next_token_ce(logits, targets, mask=None)

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

Hints0 / 2

Reference solution

Your own code stays in the editor.