Create optimization.py

optimization.py

@@ -0,0 +1,41 @@
+"""
+"""
+
+from typing import Any
+from typing import Callable
+from typing import ParamSpec
+import spaces
+import torch
+
+
+P = ParamSpec('P')
+
+
+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 spaces.aoti_capture(pipeline.transformer) as call:
+            pipeline(*args, **kwargs)
+
+        exported = torch.export.export(
+            mod=pipeline.transformer,
+            args=call.args,
+            kwargs=call.kwargs,
+        )
+
+        return spaces.aoti_compile(exported, INDUCTOR_CONFIGS)
+
+    pipeline.transformer.fuse_qkv_projections()
+    spaces.aoti_apply(compile_transformer(), pipeline.transformer)