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Python class

TaylorSeerState

`TaylorSeerState`

class max.pipelines.diffusion.TaylorSeerState(factor_0=None, factor_1=None, factor_2=None, last_compute_step=None)

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Bases: object

Per-request mutable state for TaylorSeer caching.

Allocated fresh for each denoising request via TaylorSeer.create_state().

Parameters:

factor_0 (Tensor | None)
factor_1 (Tensor | None)
factor_2 (Tensor | None)
last_compute_step (int | None)

`factor_0`

factor_0: Tensor | None = None

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Cached 0th-order factor (function value).

`factor_1`

factor_1: Tensor | None = None

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Cached 1st-order factor (first derivative approximation).

`factor_2`

factor_2: Tensor | None = None

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Cached 2nd-order factor (second derivative approximation).

`last_compute_step`

last_compute_step: int | None = None

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Step index of the last full transformer computation.

TaylorSeerState​

factor_0​

factor_1​

factor_2​

last_compute_step​

`TaylorSeerState`

`factor_0`

`factor_1`

`factor_2`

`last_compute_step`