rollback densenet121 sample size
@@ -6,7 +6,7 @@ model: # mandatory. ilit uses this
quantization: # optional. tuning constraints on model-wise for advance user to reduce tuning space.
calibration:
- sampling_size: 50, 100 # optional. default value is the size of whole dataset. used to set how many portions of calibration dataset is used. exclusive with iterations field.
+ sampling_size: 5, 10, 50, 100 # optional. default value is the size of whole dataset. used to set how many portions of calibration dataset is used. exclusive with iterations field.
dataloader:
batch_size: 10
dataset:
@@ -63,7 +63,7 @@ evaluation: # optional. required if use
cores_per_instance: 4
num_of_instance: 7
dataloader:
- batch_size: 1
+ batch_size: 10
dataset:
Imagenet:
root: /path/to/evaluation/dataset # NOTE: modify to evaluation dataset location if needed
