diff --git a/_unittests/ut_tools/test_export_onnx.py b/_unittests/ut_tools/test_export_onnx.py
index 6ecd902ca..ed6478bef 100644
--- a/_unittests/ut_tools/test_export_onnx.py
+++ b/_unittests/ut_tools/test_export_onnx.py
@@ -12,6 +12,7 @@
 from onnx.helper import (
     make_model, make_node, set_model_props, make_tensor, make_graph,
     make_tensor_value_info)
+from onnxruntime import SessionOptions, GraphOptimizationLevel
 from sklearn.cluster import KMeans
 import autopep8
 from pyquickhelper.pycode import ExtTestCase
@@ -909,14 +910,17 @@ def test_export_einsum(self):
         r = numpy.einsum("bac,cd,def->ebc", x1, x2, x3)
         seq_clean = decompose_einsum_equation(
             "bac,cd,def->ebc", strategy='numpy', clean=True)
-        onx = seq_clean.to_onnx("Y", "X1", "X2", "X3", dtype=numpy.float32)
+        onx = seq_clean.to_onnx("Y", "X1", "X2", "X3", dtype=numpy.float32,
+                                target_opset=15)
 
-        with self.subTest(rt='python'):
-            oinf = OnnxInference(onx)
+        with self.subTest(rt='onnxruntime1'):
+            opts = SessionOptions()
+            opts.graph_optimization_level = GraphOptimizationLevel.ORT_DISABLE_ALL
+            oinf = OnnxInference(onx, runtime='onnxruntime1', runtime_options=opts)
             rr = oinf.run({'X1': x1, 'X2': x2, 'X3': x3})
             self.assertEqualArray(r, rr['Y'])
-        with self.subTest(rt='onnxruntime1'):
-            oinf = OnnxInference(onx, runtime='onnxruntime1')
+        with self.subTest(rt='python'):
+            oinf = OnnxInference(onx)
             rr = oinf.run({'X1': x1, 'X2': x2, 'X3': x3})
             self.assertEqualArray(r, rr['Y'])
 
diff --git a/mlprodict/onnxrt/ops_whole/session.py b/mlprodict/onnxrt/ops_whole/session.py
index 8904a6017..69bf8af39 100644
--- a/mlprodict/onnxrt/ops_whole/session.py
+++ b/mlprodict/onnxrt/ops_whole/session.py
@@ -32,11 +32,16 @@ def __init__(self, onnx_data, runtime, runtime_options=None):
                 "runtime '{}' is not implemented.".format(runtime))
         if hasattr(onnx_data, 'SerializeToString'):
             onnx_data = onnx_data.SerializeToString()
-        session_options = (
-            None if runtime_options is None
-            else runtime_options.get('session_options', None))
-        self.runtime = runtime
-        sess_options = session_options or SessionOptions()
+        if isinstance(runtime_options, SessionOptions):
+            sess_options = runtime_options
+            session_options = None
+            runtime_options = None
+        else:
+            session_options = (
+                None if runtime_options is None
+                else runtime_options.get('session_options', None))
+            self.runtime = runtime
+            sess_options = session_options or SessionOptions()
         self.run_options = RunOptions()
 
         if session_options is None:
@@ -56,11 +61,11 @@ def __init__(self, onnx_data, runtime, runtime_options=None):
                         GraphOptimizationLevel.ORT_ENABLE_ALL)
                 if runtime_options.get('enable_profiling', True):
                     sess_options.enable_profiling = True
-        elif 'enable_profiling' in runtime_options:
+        elif runtime_options is not None and 'enable_profiling' in runtime_options:
             raise RuntimeError(  # pragma: no cover
                 "session_options and enable_profiling cannot be defined at the "
                 "same time.")
-        elif 'disable_optimisation' in runtime_options:
+        elif runtime_options is not None and 'disable_optimisation' in runtime_options:
             raise RuntimeError(  # pragma: no cover
                 "session_options and disable_optimisation cannot be defined at the "
                 "same time.")