Question about the inconsistent length of `train_dataset` and `sample_weights`

[Sapphire-356]

Hello,

When I tried to reproduce the results for "domainnet real-clipart" using your code, I found an inconsistency in methods/ours/mi_dis_pm.py: len(train_dataset) and len(sample_weights) are not equal — they are 189818 and 187226, respectively.

I realized that this inconsistency may reflect the inconsistency of the subsampling result:

subsample_indices2 = subsample_balanced_instances(deepcopy(train_dataset2), prop_indices_to_subsample=0.3)

I carefully checked my DomainNet dataset against the one (Original version) provided at https://ai.bu.edu/M3SDA/, but I did not find any differences.

The number of images in my DomainNet dataset is:

	Clipart	Infograph	Painting	Quickdraw	Real	Sketch
Num.	48,834	53,201	75,759	172,500	175,327	70,386

Could you kindly provide your subsample_indices2, so that I can properly reproduce your results?

Here are the results on several other datasets：

	len(train_dataset)	len(sample_weights)
cubc	266724	266724
fgvcc	156652	156652
scarsc	369989	369989
domainnet real-clipart	189818	187226
domainnet real-sketch	196284	193524

Thank you in advance!