For the complete documentation index, see llms.txt. Markdown versions of all pages are available by appending .md to any URL (e.g. /get-started.md).

Python class

TaylorSeerBufferState

`TaylorSeerBufferState`

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

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Per-request mutable TaylorSeer state using Buffer objects.

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

Parameters:

factor_0: Buffer

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Cached 0th-order factor (function value).

factor_1: Buffer

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

factor_2: Buffer

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

last_compute_step: int | None = None

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Step index of the last full transformer computation.