update NS for FX tutorial for PyTorch v1.13

Summary:

Makes a couple of updates to ensure this tutorial still runs on 1.13:
1. changes the `qconfig_dict` argument of `prepare_fx` to `qconfig_mapping`
2. adds `example_inputs` to `prepare_fx`

Test plan:

Run the tutorial, it runs without errors on master

Author: vkuzo

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