Feature/absorb consecutive transposes

Feature/absorb transpose into mt only linear

Feature/fix Labelselect folding and optimize output

1000 labels with low folding creates very large, long-running test cases

Feature/merge models

[Transform] Restructure MergeONNXModels to correctly preserve quantization information of non value_info tensors

Feature/mv chw add past conv

feature/refactor remove identity

Feature/move flatten past topk

Feature/move flatten past affine