diff --git a/python/tvm/relax/frontend/torch/exported_program_translator.py b/python/tvm/relax/frontend/torch/exported_program_translator.py
index a84c35e62234..67d93b066972 100644
--- a/python/tvm/relax/frontend/torch/exported_program_translator.py
+++ b/python/tvm/relax/frontend/torch/exported_program_translator.py
@@ -1197,6 +1197,7 @@ def from_exported_program(
     keep_params_as_input: bool = False,
     unwrap_unit_return_tuple: bool = False,
     no_bind_return_tuple: bool = False,
+    run_ep_decomposition: bool = False,
 ) -> tvm.IRModule:
     """Convert a PyTorch ExportedProgram to a Relax program
 
@@ -1216,6 +1217,12 @@ def from_exported_program(
         A boolean flag indicating whether to bind the return tuple as a relax var.
         If the flag is true and the return value is a tuple, it will not bind it to a var.
 
+    run_ep_decomposition : bool
+        A boolean flag indicating whether to run PyTorch's decomposition on the
+        exported program before translation. When True, high-level operators will
+        be decomposed into their constituent parts. Defaults to False for backward
+        compatibility.
+
     Returns
     -------
     output : tvm.IRModule
@@ -1255,8 +1262,9 @@ def forward(self, input):
         # Use the importer to import the ExportedProgram to Relax.
         mod: tvm.IRModule = from_exported_program(exported_program)
     """
-    # decompose into Core ATen operators
-    exported_program.run_decompositions()
+    # Conditionally decompose into Core ATen operators
+    if run_ep_decomposition:
+        exported_program = exported_program.run_decompositions()
 
     return ExportedProgramImporter().from_exported_program(
         exported_program,