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""" |
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""" |
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from typing import Any |
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from typing import Callable |
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from typing import ParamSpec |
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import spaces |
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import torch |
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P = ParamSpec('P') |
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INDUCTOR_CONFIGS = { |
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'conv_1x1_as_mm': True, |
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'epilogue_fusion': False, |
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'coordinate_descent_tuning': True, |
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'coordinate_descent_check_all_directions': True, |
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'max_autotune': True, |
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'triton.cudagraphs': True, |
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} |
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def optimize_pipeline_(pipeline: Callable[P, Any], *args: P.args, **kwargs: P.kwargs): |
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@spaces.GPU(duration=1500) |
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def compile_transformer(): |
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with spaces.aoti_capture(pipeline.transformer) as call: |
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pipeline(*args, **kwargs) |
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exported = torch.export.export( |
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mod=pipeline.transformer, |
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args=call.args, |
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kwargs=call.kwargs, |
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) |
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return spaces.aoti_compile(exported, INDUCTOR_CONFIGS) |
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pipeline.transformer.fuse_qkv_projections() |
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pipeline.transformer.set_attention_backend("flash_hub") |
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spaces.aoti_apply(compile_transformer(), pipeline.transformer) |
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