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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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from torch.utils._pytree import tree_map_only
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from optimization_utils import capture_component_call
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from optimization_utils import aoti_compile
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P = ParamSpec('P')
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TRANSFORMER_HIDDEN_DIM = torch.export.Dim('hidden', min=4096, max=8212)
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TRANSFORMER_DYNAMIC_SHAPES = {
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'hidden_states': {1: TRANSFORMER_HIDDEN_DIM},
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'img_ids': {0: TRANSFORMER_HIDDEN_DIM},
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}
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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 capture_component_call(pipeline, 'transformer') as call:
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pipeline(*args, **kwargs)
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dynamic_shapes = tree_map_only((torch.Tensor, bool), lambda t: None, call.kwargs)
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dynamic_shapes |= TRANSFORMER_DYNAMIC_SHAPES
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pipeline.transformer.fuse_qkv_projections()
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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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dynamic_shapes=dynamic_shapes,
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)
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return aoti_compile(exported, INDUCTOR_CONFIGS)
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transformer_config = pipeline.transformer.config
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pipeline.transformer = compile_transformer()
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pipeline.transformer.config = transformer_config
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