diff --git a/torch2trt/converters/mul.py b/torch2trt/converters/mul.py
index eefd744c..ebbcccdf 100644
--- a/torch2trt/converters/mul.py
+++ b/torch2trt/converters/mul.py
@@ -3,6 +3,7 @@
 
 
 @tensorrt_converter('torch.mul')
+@tensorrt_converter('torch.Tensor.mul_')
 @tensorrt_converter('torch.Tensor.__imul__')
 @tensorrt_converter('torch.Tensor.__mul__')
 @tensorrt_converter('torch.Tensor.__rmul__')
diff --git a/torch2trt/torch2trt.py b/torch2trt/torch2trt.py
index 6a33a9ee..206dcdb8 100644
--- a/torch2trt/torch2trt.py
+++ b/torch2trt/torch2trt.py
@@ -555,10 +555,15 @@ def torch2trt(module,
                 outputs = (outputs,)
             ctx.mark_outputs(outputs, output_names)
 
-    builder.max_workspace_size = max_workspace_size
-    builder.fp16_mode = fp16_mode
     builder.max_batch_size = max_batch_size
-    builder.strict_type_constraints = strict_type_constraints
+    config = builder.create_builder_config()
+    config.max_workspace_size = max_workspace_size
+
+    if strict_type_constraints:
+        config.set_flag(trt.BuilderFlag.STRICT_TYPES)
+
+    if fp16_mode:
+        config.set_flag(trt.BuilderFlag.FP16)
 
     if int8_mode:
 
@@ -566,7 +571,7 @@ def torch2trt(module,
         if int8_calib_dataset is None:
             int8_calib_dataset = TensorBatchDataset(inputs_in)
 
-        builder.int8_mode = True
+        config.set_flag(trt.BuilderFlag.INT8)
         
         #Making sure not to run calibration with QAT mode on 
         if not 'qat_mode' in kwargs:
@@ -575,7 +580,7 @@ def torch2trt(module,
                 inputs, int8_calib_dataset, batch_size=int8_calib_batch_size, algorithm=int8_calib_algorithm
             )
         
-    engine = builder.build_cuda_engine(network)
+    engine = builder.build_engine(network, config)
 
     module_trt = TRTModule(engine, input_names, output_names)