Hi,
I am optimizing my model, with a npy
file with 2058 samples. I want to use only 2048 of them. Using the command model_optimization_config(calibration, batch_size=32, calibset_size=64)
in my alls
file results in a warning about the batch_size
being greater than the calibset_size
, but it is not?
Moreover, the documentation mentions that it is a replacement for the Quantization API
, but here, it says that the number of samples is calib_num_batch
x batch_size
, which the model script is a replacement of.
Am I missing something?
Thank you!