[MLIR][Tensor] Remove tensor.dim canonicalization patterns registered on tensor.expand_shape/tensor.collapse_shape (#134219) These are problematic because the iterative application that locally resolves the tensor.dim operation introduces intermediate floor_div, which is losing the information about the exact division that was carried out in the original IR, and the iterative algorithm can't converge towards the simplest form. Information loss is not acceptable for canonicalization. Resolving the dimOp can be achieved through resolve-ranked-shaped-type-result-dims and resolve-shaped-type-result-dims passes. --------- Signed-off-by: Vivek Khandelwal <vivekkhandelwal1424@gmail.com>
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