57 lines
1.7 KiB
Python
57 lines
1.7 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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import pytest
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import torch.nn as nn
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import vllm_omni.diffusion.compile as compile_module
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from vllm_omni.diffusion.compile import regionally_compile
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pytestmark = [pytest.mark.core_model, pytest.mark.diffusion, pytest.mark.cpu]
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class _WrappedBlock(nn.Module):
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def __init__(self) -> None:
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super().__init__()
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self.compile_called = False
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self.forward_compiled = False
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def compile(self, *args, **kwargs):
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self.compile_called = True
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return self
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def forward(self, x):
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return x
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class _ModelWithWrappedRepeatedBlocks(nn.Module):
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_repeated_blocks = ["OriginalBlock"]
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_layerwise_offload_blocks_attrs = ["transformer_blocks"]
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def __init__(self) -> None:
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super().__init__()
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self.transformer_blocks = nn.ModuleList([_WrappedBlock(), _WrappedBlock()])
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self.other_blocks = nn.ModuleList([_WrappedBlock()])
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def test_regionally_compile_matches_wrapped_blocks_by_declared_container_attr(monkeypatch):
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model = _ModelWithWrappedRepeatedBlocks()
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compile_calls = []
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def _compile(fn, *args, **kwargs):
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compile_calls.append((fn, args, kwargs))
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def _compiled(*fn_args, **fn_kwargs):
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return f"compiled:{fn(*fn_args, **fn_kwargs)}"
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return _compiled
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monkeypatch.setattr(compile_module.torch, "compile", _compile)
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regionally_compile(model, dynamic=True)
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assert len(compile_calls) == 2
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assert all(not block.compile_called for block in model.transformer_blocks)
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assert not model.other_blocks[0].compile_called
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assert model.transformer_blocks[0].forward("ok") == "compiled:ok"
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