[Quant][ONEDNN] Fix weight reorder issue for grouped convolution (#91934)
**Summary**
For onednn quant backend only.
QConv weight may be reordered to another blocked format if input shape is changed at runtime. It's a bug that group info is not retained for such reordering. This may lead to wrong shape of weight after reordering. This PR fixes this bug.
**Test plan**
python test/test_quantization.py -k test_conv_reorder_issue_onednn
Pull Request resolved: https://github.com/pytorch/pytorch/pull/91934
Approved by: https://github.com/jgong5, https://github.com/jerryzh168
