diff --git a/python/tvm/relay/frontend/tflite.py b/python/tvm/relay/frontend/tflite.py
index 239d72055bff..c38191b389c9 100644
--- a/python/tvm/relay/frontend/tflite.py
+++ b/python/tvm/relay/frontend/tflite.py
@@ -33,7 +33,7 @@
 from ..backend.name_transforms import sanitize_name
 from .common import ExprTable
 from .common import infer_shape as _infer_shape
-from .common import lstm_cell, to_int_list, shape_of
+from .common import lstm_cell, to_int_list, shape_of, try_infer_value
 from .tflite_flexbuffer import FlexBufferDecoder
 
 __all__ = ["from_tflite"]
@@ -599,7 +599,21 @@ def convert_reshape(self, op):
         if len(input_tensors) == 2:
             shape_tensor = input_tensors[1]
             if self.has_expr(shape_tensor.tensor_idx):
-                target_shape = self.get_expr(shape_tensor.tensor_idx)
+                target_expr = self.get_expr(shape_tensor.tensor_idx)
+                target_value, success = try_infer_value(
+                    target_expr,
+                    parameters={k: _nd.array(np.array(v)) for k, v in self.exp_tab.params.items()},
+                )
+                if success:
+                    # convert to flattened list
+                    from itertools import chain
+
+                    try:
+                        target_shape = list(chain(*target_value))
+                    except TypeError:
+                        target_shape = list(chain(target_value))
+                else:
+                    target_shape = target_expr
             else:
                 target_shape = self.get_tensor_value(shape_tensor)
                 # convert to flattened list