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vllm-omni/tests/diffusion/test_compile.py

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Python

# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import pytest
import torch.nn as nn
import vllm_omni.diffusion.compile as compile_module
from vllm_omni.diffusion.compile import regionally_compile
from vllm_omni.diffusion.hooks import HookRegistry, ModelHook
pytestmark = [pytest.mark.core_model, pytest.mark.diffusion, pytest.mark.cpu]
class _WrappedBlock(nn.Module):
def __init__(self) -> None:
super().__init__()
self.compile_called = False
self.forward_compiled = False
def compile(self, *args, **kwargs):
self.compile_called = True
return self
def forward(self, x):
return x
class _ModelWithWrappedRepeatedBlocks(nn.Module):
_repeated_blocks = ["OriginalBlock"]
_layerwise_offload_blocks_attrs = ["transformer_blocks"]
def __init__(self) -> None:
super().__init__()
self.transformer_blocks = nn.ModuleList([_WrappedBlock(), _WrappedBlock()])
self.other_blocks = nn.ModuleList([_WrappedBlock()])
def test_regionally_compile_matches_wrapped_blocks_by_declared_container_attr(monkeypatch):
model = _ModelWithWrappedRepeatedBlocks()
compile_calls = []
def _compile(fn, *args, **kwargs):
compile_calls.append((fn, args, kwargs))
def _compiled(*fn_args, **fn_kwargs):
return f"compiled:{fn(*fn_args, **fn_kwargs)}"
return _compiled
monkeypatch.setattr(compile_module.torch, "compile", _compile)
regionally_compile(model, dynamic=True)
assert len(compile_calls) == 2
assert all(not block.compile_called for block in model.transformer_blocks)
assert not model.other_blocks[0].compile_called
assert model.transformer_blocks[0].forward("ok") == "compiled:ok"
def test_regionally_compile_does_not_partially_mutate_on_setup_failure(monkeypatch):
model = _ModelWithWrappedRepeatedBlocks()
original_forwards = [block.forward.__func__ for block in model.transformer_blocks]
compile_calls = 0
def _compile(fn, *args, **kwargs):
nonlocal compile_calls
compile_calls += 1
if compile_calls == 2:
raise RuntimeError("compile setup failed")
return lambda *fn_args, **fn_kwargs: fn(*fn_args, **fn_kwargs)
monkeypatch.setattr(compile_module.torch, "compile", _compile)
with pytest.raises(RuntimeError, match="compile setup failed"):
regionally_compile(model, dynamic=True)
assert [block.forward.__func__ for block in model.transformer_blocks] == original_forwards
def test_regionally_compile_keeps_hook_dispatch_outside_compiled_graph(monkeypatch):
model = _ModelWithWrappedRepeatedBlocks()
block = model.transformer_blocks[0]
registry = HookRegistry.get_or_create(block)
hook = ModelHook()
registry.register_hook("test", hook)
wrapped_forward = block.forward
original_forward = block._omni_original_forward
compile_calls = []
def _compile(fn, *args, **kwargs):
compile_calls.append(fn)
def _compiled(*fn_args, **fn_kwargs):
return f"compiled:{fn(*fn_args, **fn_kwargs)}"
return _compiled
monkeypatch.setattr(compile_module.torch, "compile", _compile)
regionally_compile(model)
assert compile_calls[0] is original_forward
assert compile_calls[0] is not wrapped_forward
assert block.forward is wrapped_forward
assert block._omni_original_forward is not original_forward
assert hook.fn_ref.original_forward is block._omni_original_forward
assert block("ok") == "compiled:ok"
def test_compiled_block_preserves_forward_signature_for_inspection(monkeypatch):
"""cache-dit matches blocks via inspect.signature(block.forward).
Whatever regionally_compile installs as the block forward must stay
signature-transparent: parameter names and the return annotation drive
cache-dit's ForwardPattern match (build 2954, Multi-GPU Layered job
failed when a bare *args/**kwargs wrapper hid them; torch.compile's own
wrapper preserves the signature).
"""
import inspect
import torch
class _SignatureBlock(nn.Module):
def forward(self, hidden_states, encoder_hidden_states=None) -> "torch.Tensor":
return hidden_states
class _Model(nn.Module):
_repeated_blocks = ["_SignatureBlock"]
def __init__(self) -> None:
super().__init__()
self.blocks = nn.ModuleList([_SignatureBlock()])
model = _Model()
monkeypatch.setattr(compile_module.torch, "compile", lambda fn, *a, **k: fn)
regionally_compile(model)
sig = inspect.signature(model.blocks[0].forward)
assert set(sig.parameters.keys()) == {"hidden_states", "encoder_hidden_states"}
assert "torch.Tensor" in str(sig.return_annotation)
assert model.blocks[0].forward("x") == "x"