Bug fix in PTQ yaml

examples/quantization/post_train_quant/resnet18_imagenet_post_train.yaml

@@ -67,16 +67,18 @@ quantizers:
       conv1:
         # The input to the first layer in the model will never have quantization metadata
         input_overrides:
-          # Shorthand to take the quantization settings of the output (ignores any other settings)
-          from_outputs: True
+          0:
+            # Shorthand to take the quantization settings of the output (ignores any other settings)
+            from_output: True
       fc:
         # In ResNet, the FC layer has a view op before, which kills the quantization metadata. So we have to override
         # (or enable auto_fallback).
         input_overrides:
-          # Example of setting the actual value. Applicable only if 'from_outputs' isn't set.
-          # The following keys are supported: 'bits_activations', 'mode', 'clip_acts', 'clip_n_stds'
-          # Any key not explicitly set will default to the output setting
-          bits_activations: 6
+          0:
+            # Example of setting the actual value. Applicable only if 'from_outputs' isn't set.
+            # The following keys are supported: 'bits_activations', 'mode', 'clip_acts', 'clip_n_stds'
+            # Any key not explicitly set will default to the output setting
+            bits_activations: 6
 
     # Overrides section for run 3
 #    overrides: