[Refactor][Diffusion] Resolve offload topology through one plan resolver (#7209)

Signed-off-by: specture724 <specture724@gmail.com>
Co-authored-by: Claude Opus 5 <noreply@anthropic.com>
This commit is contained in:
Anjie HouandClaude Opus 5 authored and GitHub committed 2026-09-09 08:17:38 +08:00
1 parent b3dd45874a
commit b6f4df320d
11 files changed
+976 -291

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@@ -4,7 +4,7 @@
from __future__ import annotations
from collections.abc import Callable, Iterator
from collections.abc import Callable, Iterator, Sequence
from itertools import chain
from operator import attrgetter
from typing import TYPE_CHECKING, Any
@@ -14,14 +14,12 @@ from torch import nn
from torch.distributed.tensor import DTensor
from vllm.logger import init_logger
from .block_discovery import get_blocks_from_dit
from .config import DIT_COMPONENT, TEXT_ENCODER_COMPONENT
from .config import TEXT_ENCODER_COMPONENT
from .offload_plan import OffloadPlan
from .tensor_utils import set_tensor_storage
if TYPE_CHECKING:
from .base import OffloadConfig
from .module_collector import PipelineModules
from .plan_resolver import BlockStack, ResolvedComponent, ResolvedOffloadPlan
logger = init_logger(__name__)
@@ -76,30 +74,25 @@ def get_encoder_block_groups(
def iter_streamable_dits(
modules: PipelineModules,
config: OffloadConfig,
resolved: ResolvedOffloadPlan,
device: torch.device,
plan: OffloadPlan | None,
) -> Iterator[tuple[str, nn.Module, list[str], list[nn.Module]]]:
"""Yield selected DiTs whose block metadata resolves successfully."""
if not config.offloads(DIT_COMPONENT):
return
for name, module in zip(modules.dit_names, modules.dits):
logger.info("Applying hooks on %s (%s)", name, module.__class__.__name__)
planned_attrs = None if plan is None else plan.block_attrs.get(name)
block_attrs, blocks = get_blocks_from_dit(module, planned_attrs)
if blocks:
yield name, module, block_attrs, blocks
) -> Iterator[tuple[ResolvedComponent, BlockStack]]:
"""Yield selected DiTs that resolved to a streamable block stack."""
for component in resolved.dits:
if not component.selected:
continue
if config.components is not None:
raise ValueError(f"Selected DiT {name!r} has no streamable layerwise-offload blocks")
logger.warning("Target layers (blocks) not found. Skipping offloading on %s (%s)", name, type(module).__name__)
module.to(device)
logger.info("Applying hooks on %s (%s)", component.path, component.module.__class__.__name__)
if not component.stacks:
# The resolver already warned; a legacy selection keeps the
# unstreamable DiT resident instead of failing the run.
component.module.to(device)
continue
yield component, component.stacks[0]
def move_non_block_state_to_device(
module: nn.Module,
block_groups: list[nn.ModuleList],
block_groups: Sequence[Sequence[nn.Module]],
device: torch.device,
) -> None:
"""Keep component state outside streamed block lists resident on device."""
@@ -120,7 +113,7 @@ def move_non_block_state_to_device(
def set_encoder_layerwise_state(
module: nn.Module,
hooks: list[Any],
block_groups: list[nn.ModuleList],
block_groups: Sequence[Sequence[nn.Module]],
) -> None:
"""Publish the backend-neutral state used by encoder stage lifecycles."""
module._omni_layerwise_hooks = hooks
@@ -163,59 +156,38 @@ def prepare_component(
def prepare_pipeline_components(
modules: PipelineModules,
config: OffloadConfig,
plan: OffloadPlan | None,
resolved: ResolvedOffloadPlan,
*,
device: torch.device,
staged_components: list[nn.Module],
enable_encoder_blocks: Callable[[nn.Module, str, OffloadPlan | None, bool], bool],
enable_encoder_blocks: Callable[[ResolvedComponent], bool],
) -> None:
"""Apply the shared encoder/VAE/resident placement policy."""
if config.components is not None and config.offloads(TEXT_ENCODER_COMPONENT):
selected_encoder_names = [name for name in modules.encoder_names if config.offloads_encoder(name, plan)]
if not selected_encoder_names:
raise ValueError("No text encoder modules found for selected text_encoder offload")
if plan is not None:
for encoder, name in zip(modules.encoders, modules.encoder_names):
if config.should_offload_encoder(name, plan) and name in plan.on_demand_component_paths:
validate_on_demand_component(encoder, name)
for encoder, name in zip(modules.encoders, modules.encoder_names):
selected = config.should_offload_encoder(name, plan)
stage_on_demand = bool(selected and plan is not None and name in plan.on_demand_component_paths)
blockwise = selected and enable_encoder_blocks(encoder, name, plan, stage_on_demand)
if stage_on_demand and not blockwise and config.uses_allgather(TEXT_ENCODER_COMPONENT):
raise ValueError(
f"Text encoder {name!r} cannot use AllGather without a model-declared streamable block plan"
)
if selected and config.components is not None and not (blockwise or stage_on_demand):
raise ValueError(f"Selected text encoder {name!r} requires a model-declared streamable or on-demand plan")
for component in resolved.encoders:
blockwise = bool(component.stacks) and enable_encoder_blocks(component)
prepare_component(
encoder,
name,
component.module,
component.path,
device=device,
stage_on_demand=stage_on_demand,
stage_on_demand=component.on_demand,
blockwise=blockwise,
staged_components=staged_components,
)
for vae, name in zip(modules.vaes, modules.vae_names):
legacy_staged = config.components is None and plan is not None and name in plan.on_demand_component_paths
for component in resolved.vaes:
prepare_component(
vae,
name,
component.module,
component.path,
device=device,
stage_on_demand=legacy_staged,
stage_on_demand=component.on_demand,
blockwise=False,
staged_components=staged_components,
)
for name, module in zip(modules.resident_names, modules.resident_modules):
module.to(device)
logger.debug("Moved resident module %s to %s", name, device)
for component in resolved.residents:
component.module.to(device)
logger.debug("Moved resident module %s to %s", component.path, device)
if not config.offloads(DIT_COMPONENT):
for dit in modules.dits:
dit.to(device)
for component in resolved.dits:
if not component.selected:
component.module.to(device)