fix RN50 v1 accuracy issue caused by typo on new yaml format
@@ -19,7 +19,6 @@ quantization: # optional. tuning constrai
ResizeCropImagenet:
height: 224
width: 224
- mean_value: [123.68, 116.78, 103.94]
model_wise: # optional. tuning constraints on model-wise for advance user to reduce tuning space.
activation:
algorithm: minmax
@@ -38,7 +37,6 @@ evaluation: # optional. required if use
ResizeCropImagenet:
height: 224
width: 224
- mean_value: [123.68, 116.78, 103.94]
performance: # optional. used to benchmark performance of passing model.
iteration: 100
configs:
@@ -54,7 +52,6 @@ evaluation: # optional. required if use
BilinearImagenet:
height: 224
width: 224
- mean_value: [123.68, 116.78, 103.94]
tuning:
accuracy_criterion:
