- The component loaders read engine.offload.*, engine.precision.*,
engine.parallelism.hsdp_*, engine.use_fsdp_inference, engine.compile.*,
engine.attention.*, pipeline.components.*, and pipeline.flow_shift (the
scheduler shift) from the resolved config, and compile settings through
torch_compile_kwargs(). They no longer write model_paths (the pipeline's
ComponentState records paths) or apply the unified-memory policy to the
config; the text-encoder loader only queries the policy for its target
device.
- PipelineComponentLoader.load_module and TransformerLoader.load take
loading_teacher_critic_model instead of reading an attribute that
training code set on the config.
- Loader, encoder, transformer, VAE, and device-policy tests build resolved
configs; the env-var docs name typed paths.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_012M91wnVFmPEvJ9h39r5BH7
