Update app.py

app.py

@@ -191,8 +191,8 @@ def load_and_prepare_model():
 
     return pipe
     
-hidet.option.parallel_build(True)
-hidet.option.parallel_tune(2,1.5)
+hidet.option.parallel_build(False)
+#hidet.option.parallel_tune(2,1.5)
 #hidet.torch.dynamo_config.steal_weights(False)
 torch._dynamo.config.suppress_errors = True
 torch._dynamo.disallow_in_graph(diffusers.models.attention.BasicTransformerBlock)
@@ -206,7 +206,7 @@ hidet.option.cache_dir("local_cache")
 # use float16 data type as the accumulate data type in operators with reduction
 #hidet.torch.dynamo_config.use_fp16_reduction(True)
 # use tensorcore
-#hidet.torch.dynamo_config.use_tensor_core()
+hidet.torch.dynamo_config.use_tensor_core()
 hidet.torch.dynamo_config.steal_weights(False)
 
 # Preload and compile both models