Delete optimization.py

optimization.py

@@ -1,60 +0,0 @@
-"""
-"""
-
-from typing import Any
-from typing import Callable
-from typing import ParamSpec
-
-import spaces
-import torch
-from torch.utils._pytree import tree_map_only
-
-from optimization_utils import capture_component_call
-from optimization_utils import aoti_compile
-
-
-P = ParamSpec('P')
-
-
-TRANSFORMER_HIDDEN_DIM = torch.export.Dim('hidden', min=4096, max=8212)
-
-TRANSFORMER_DYNAMIC_SHAPES = {
-    'hidden_states': {1: TRANSFORMER_HIDDEN_DIM},
-    'img_ids': {0: TRANSFORMER_HIDDEN_DIM},
-}
-
-INDUCTOR_CONFIGS = {
-    'conv_1x1_as_mm': True,
-    'epilogue_fusion': False,
-    'coordinate_descent_tuning': True,
-    'coordinate_descent_check_all_directions': True,
-    'max_autotune': True,
-    'triton.cudagraphs': True,
-}
-
-
-def optimize_pipeline_(pipeline: Callable[P, Any], *args: P.args, **kwargs: P.kwargs):
-
-    @spaces.GPU(duration=1500)
-    def compile_transformer():
-
-        with capture_component_call(pipeline, 'transformer') as call:
-            pipeline(*args, **kwargs)
-
-        dynamic_shapes = tree_map_only((torch.Tensor, bool), lambda t: None, call.kwargs)
-        dynamic_shapes |= TRANSFORMER_DYNAMIC_SHAPES
-
-        pipeline.transformer.fuse_qkv_projections()
-
-        exported = torch.export.export(
-            mod=pipeline.transformer,
-            args=call.args,
-            kwargs=call.kwargs,
-            dynamic_shapes=dynamic_shapes,
-        )
-
-        return aoti_compile(exported, INDUCTOR_CONFIGS)
-
-    transformer_config = pipeline.transformer.config
-    pipeline.transformer = compile_transformer()
-    pipeline.transformer.config = transformer_config # pyright: ignore[reportAttributeAccessIssue]