Update _Input.py

Signed-off-by: Naren Dasan <[email protected]>
Signed-off-by: Naren Dasan <[email protected]>

Author: narendasan

py/torch_tensorrt/_Input.py

@@ -125,7 +125,7 @@ def __str__(self) -> str:
             return "Input(shape={}, dtype={}, format={})".format(self.shape, str(self.dtype), str(self.format))
         elif self.shape_mode == Input._ShapeMode.DYNAMIC:
             return "Input(min_shape={}, opt_shape={}, max_shape={}, dtype={}, format={})".format(
-                self.shape["min_shape"], self.shape["min_shape"], self.shape["min_shape"], str(self.dtype),
+                self.shape["min_shape"], self.shape["opt_shape"], self.shape["max_shape"], str(self.dtype),
                 str(self.format))
         else:
             raise RuntimeError("Unknown input shape mode")
@@ -145,7 +145,7 @@ def _to_internal(self) -> _C.Input:
                     "Input shape specifications for inputs are required to be a List, tuple or torch.Size, found type: "
                     + str(type(self.shape["opt_shape"])) + " for opt_shape")
             else:
-                internal_in.min = self.shape["op_shape"]
+                internal_in.min = self.shape["opt_shape"]
 
             if not Input._supported_input_size_type(self.shape["max_shape"]):
                 raise TypeError(