diff --git a/py/torch_tensorrt/fx/fx2trt.py b/py/torch_tensorrt/fx/fx2trt.py
index 7deed3e470..ca16e2ad9b 100644
--- a/py/torch_tensorrt/fx/fx2trt.py
+++ b/py/torch_tensorrt/fx/fx2trt.py
@@ -163,6 +163,7 @@ def run(
         algorithm_selector=None,
         timing_cache=None,
         profiling_verbosity=None,
+        tactic_sources=None,
     ) -> TRTInterpreterResult:
         """
         Build TensorRT engine with some configs.
@@ -245,6 +246,9 @@ def run(
             builder_config.set_flag(trt.BuilderFlag.DISABLE_TIMING_CACHE)
             builder_config.algorithm_selector = algorithm_selector
 
+        if tactic_sources is not None:
+            builder_config.set_tactic_sources(tactic_sources=tactic_sources)
+
         engine = self.builder.build_engine(self.network, builder_config)
         assert engine
 
diff --git a/py/torch_tensorrt/fx/lower.py b/py/torch_tensorrt/fx/lower.py
index 470f78c407..387b4db841 100644
--- a/py/torch_tensorrt/fx/lower.py
+++ b/py/torch_tensorrt/fx/lower.py
@@ -120,6 +120,7 @@ def __call__(self, mod, input, split_name) -> TRTInterpreterResult:
             profiling_verbosity=trt.ProfilingVerbosity.DETAILED
             if self.lower_setting.verbose_profile
             else trt.ProfilingVerbosity.LAYER_NAMES_ONLY,
+            tactic_sources=self.lower_setting.tactic_sources,
         )
 
         # Update timing cache file if needed
diff --git a/py/torch_tensorrt/fx/lower_setting.py b/py/torch_tensorrt/fx/lower_setting.py
index d3f2cc9a14..c1d02229e3 100644
--- a/py/torch_tensorrt/fx/lower_setting.py
+++ b/py/torch_tensorrt/fx/lower_setting.py
@@ -1,5 +1,5 @@
 import dataclasses as dc
-from typing import List, Optional, Sequence, Set, Type
+from typing import List, Optional, Set, Type
 
 from torch import nn
 from torch.fx.passes.pass_manager import PassManager
@@ -68,6 +68,8 @@ class LowerSetting(LowerSettingBasic):
     opt_profile_replica (int): the number of opt profile set for TensorRT engine, this field is
     only used by explicit batch dim with dynamic shape mode.
     dynamic_batch: enable the dynamic shape in TRT with dim=-1 for the 1st dimension.
+    tactic_sources: tactic sources for TensorRT kernel selection. Default to None,
+    meaning all possible tactic sources.
     """
 
     input_specs: List[InputTensorSpec] = dc.field(default_factory=list)
@@ -87,3 +89,4 @@ class LowerSetting(LowerSettingBasic):
     preset_lowerer: str = ""
     opt_profile_replica: int = 1
     dynamic_batch: bool = True
+    tactic_sources: Optional[int] = None
diff --git a/py/torch_tensorrt/fx/passes/lower_pass_manager_builder.py b/py/torch_tensorrt/fx/passes/lower_pass_manager_builder.py
index 937737b60d..047ceb3ad2 100644
--- a/py/torch_tensorrt/fx/passes/lower_pass_manager_builder.py
+++ b/py/torch_tensorrt/fx/passes/lower_pass_manager_builder.py
@@ -148,7 +148,7 @@ def lower_func(split_result: SplitResult) -> nn.Module:
 
                 # Only acc submodules will be lowered.
                 if not submod_name.startswith(split_result.non_acc_submodule_prefix):
-                    _LOGGER.info("Now lowering submodule", submod_name)
+                    _LOGGER.info(f"Now lowering submodule {submod_name}")
                     lowering_start_time = datetime.datetime.now()
 
                     self.lower_setting.input_specs = generate_input_specs(
@@ -166,8 +166,7 @@ def lower_func(split_result: SplitResult) -> nn.Module:
                         submod_name, lowered_module, submod_inputs
                     )
                     _LOGGER.info(
-                        f"Lowering submodule {submod_name} elapsed time",
-                        datetime.datetime.now() - lowering_start_time,
+                        f"Lowering submodule {submod_name} elapsed time {datetime.datetime.now() - lowering_start_time}"
                     )
 
             return split_result.split_module
@@ -184,7 +183,7 @@ def lower_func(split_result: SplitResult) -> nn.Module:
 
                 # Only acc submodules will be lowered.
                 if not submod_name.startswith(split_result.non_acc_submodule_prefix):
-                    _LOGGER.info("Now lowering submodule", submod_name)
+                    _LOGGER.info(f"Now lowering submodule {submod_name}")
                     lowering_start_time = datetime.datetime.now()
 
                     lowered_module = self._lower_func(
@@ -195,8 +194,7 @@ def lower_func(split_result: SplitResult) -> nn.Module:
                         submod_name, lowered_module, submod_inputs
                     )
                     _LOGGER.info(
-                        f"Lowering submodule {submod_name} elapsed time",
-                        datetime.datetime.now() - lowering_start_time,
+                        f"Lowering submodule {submod_name} elapsed time {datetime.datetime.now() - lowering_start_time}"
                     )
 
             return split_result.split_module
diff --git a/py/torch_tensorrt/fx/tools/trt_splitter.py b/py/torch_tensorrt/fx/tools/trt_splitter.py
index 7fbca8d99a..28279a117d 100644
--- a/py/torch_tensorrt/fx/tools/trt_splitter.py
+++ b/py/torch_tensorrt/fx/tools/trt_splitter.py
@@ -49,7 +49,7 @@ def __init__(self):
         # During split, we'll split out the operators that
         # don't support the batch dim.
         self.use_implicit_batch_dim: bool = True
-        self.exclude_support_node_name: set = set()
+        self.exclude_support_node_name: set = set(self.op_lowering_disallow_list)
 
 
 class TRTSplitter(splitter_base._SplitterBase):