diff --git a/.jenkins/validate_tutorials_built.py b/.jenkins/validate_tutorials_built.py
index 5f9d563475..b426049b58 100644
--- a/.jenkins/validate_tutorials_built.py
+++ b/.jenkins/validate_tutorials_built.py
@@ -50,7 +50,6 @@
     "recipes/Captum_Recipe",
     "hyperparameter_tuning_tutorial",
     "flask_rest_api_tutorial",
-    "fx_numeric_suite_tutorial", # remove when https://github.com/pytorch/tutorials/pull/2089 is fixed
     "ax_multiobjective_nas_tutorial",
 ]
 
diff --git a/prototype_source/fx_numeric_suite_tutorial.py b/prototype_source/fx_numeric_suite_tutorial.py
index ac43ae49e0..922f48ae0f 100644
--- a/prototype_source/fx_numeric_suite_tutorial.py
+++ b/prototype_source/fx_numeric_suite_tutorial.py
@@ -84,9 +84,9 @@ def plot(xdata, ydata, xlabel, ylabel, title):
 # Note: quantization APIs are inplace, so we save a copy of the float model for
 # later comparison to the quantized model. This is done throughout the
 # tutorial.
-mobilenetv2_prepared = quantize_fx.prepare_fx(
-    copy.deepcopy(mobilenetv2_float), qconfig_dict)
 datum = torch.randn(1, 3, 224, 224)
+mobilenetv2_prepared = quantize_fx.prepare_fx(
+    copy.deepcopy(mobilenetv2_float), qconfig_dict, (datum,))
 mobilenetv2_prepared(datum)
 # Note: there is a long standing issue that we cannot copy.deepcopy a
 # quantized model. Since quantization APIs are inplace and we need to use