Python module

max.pipelines.modeling.base

Base classes for MAX pipeline model definitions.

Components

ComponentModel	Base interface for component models with weight-backed execution.
TensorStruct	Base for structured tensor containers used as pipeline inputs/outputs.

First-block cache

FirstBlockCache	Standalone FirstBlockCache module.
FirstBlockCacheState	Per-request mutable state for FirstBlockCache.

Denoising cache

DenoisingCacheConfig	Pipeline-level cache configuration for diffusion model denoising.
DenoisingCacheState	Per-request mutable cache state for a single denoising stream.
TaylorSeer	Standalone TaylorSeer caching module.
TaylorSeerState	Per-request mutable state for TaylorSeer caching.

fbcache_conditional_execution	Handle FBCache F.cond branching pattern shared across DiT models.
run_denoising_step	Execute one denoising step with caching logic.

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