A training run keeps exploding, so the team switches on gradient clipping.
At one particular step, the gradient over the model's five parameters is
Three different sizes of the same vector show up in this problem, so here they are side by side:
| Name | Symbol | Definition |
|---|---|---|
| Manhattan norm | sum of the absolute entries | |
| Euclidean norm | square root of the sum of the squared entries | |
| Chebyshev norm | the largest absolute entry |
The clipping rule the team uses is the standard clip-by-norm rule, and it is triggered by the Euclidean norm:
If , leave exactly as it is.
If , replace by the rescaled vector
They set the clipping threshold to .
The engineer on call wants to know how far the single most-affected parameter moves after clipping — that is, the largest absolute entry of the clipped gradient , which is exactly its Chebyshev norm .
Compute .
Give your answer rounded to two decimal places — for example 1.23.