Update app.py

app.py

@@ -34,7 +34,7 @@ os.system(f'{conda_bin}/conda install nvidia/label/cuda-12.4.0::cuda-toolkit')
 #os.system(f'{conda_bin}/conda install pytorch::pytorch-cuda')
 #os.system(f'{conda_bin}/conda install rcdr_py37::tensorrt')
 #subprocess.run(['sh', './hidet.sh'])
-subprocess.run(['sh', './modelopt.sh'])
+#subprocess.run(['sh', './modelopt.sh'])
 import hidet
 #print(dir(hidet)) 
 #import torch_tensorrt
@@ -201,7 +201,7 @@ def load_and_prepare_model():
     #pipe.unet = torch.compile(pipe.unet, backend="hidet", dynamic=False, mode='max-autotune') #.to(device=device, dtype=torch.bfloat16)
     #pipe.unet = torch.compile(pipe.unet, backend="hidet", dynamic=False, mode='max-autotune-no-cudagraphs') #.to(device=device, dtype=torch.bfloat16)
     #pipe.unet = torch.compile(pipe.unet, backend="hidet", dynamic=False, options={'epilogue_fusion': True, 'shape_padding': True}) #.to(device=device, dtype=torch.bfloat16)
-    pipe.unet = torch.compile(pipe.unet, backend="inductor")
+    pipe.unet = torch.compile(pipe.unet, backend="tvm", dynamic=False)
     #pipe.unet = torch.compile(pipe.unet, backend="hidet", dynamic=False, options={"search_space": 0})
     #pipe.unet = torch.compile(pipe.unet, backend="torch_tensorrt", dynamic=False, options={"precision": torch.bfloat16,"optimization_level": 4,})
     pipe.to(device=device, dtype=torch.bfloat16)