Update app.py

app.py

@@ -31,9 +31,9 @@ os.system(f'{conda_bin}/conda install nvidia/label/cuda-12.4.0::cuda-nvcc')
 
 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'])
-import hidet
-print(dir(hidet)) 
+#subprocess.run(['sh', './hidet.sh'])
+#import hidet
+#print(dir(hidet)) 
 
 import random
 import uuid
@@ -194,11 +194,12 @@ def load_and_prepare_model():
     
     #pipe.unet.to(memory_format=torch.channels_last)
     #pipe.enable_vae_tiling()
-    pipe.unet = torch.compile(pipe.unet, backend="hidet")
+   #pipe.unet = torch.compile(pipe.unet, backend="hidet")
+    pipe.unet = torch.compile(pipe.unet, backend="torch_tensorrt", dynamic=False)
     pipe.to(device=device, dtype=torch.bfloat16)
 
     return pipe
-    
+'''
 hidet.option.parallel_build(True)
 hidet.option.parallel_tune(2,2.0)
 torch._dynamo.config.suppress_errors = True
@@ -215,7 +216,7 @@ hidet.option.cache_dir("local_cache")
 # use tensorcore
 hidet.torch.dynamo_config.use_tensor_core()
 hidet.torch.dynamo_config.steal_weights(False)
-
+'''
 # Preload and compile both models
 
 pipe = load_and_prepare_model()