Support dynamic shape when lowering operation to vector

e.g.:
```mlir
%19 = affine.apply affine_map<(d0) -> ((d0 floordiv 64) * 64)>(%arg3)
%20 = affine.min affine_map<(d0) -> (((d0 + 31) floordiv 64) * 64 - (d0 floordiv 64) * 64 + 64, (d0 floordiv 64) * -64 + 224)>(%arg3)
%extracted_slice = tensor.extract_slice %arg0[%19, 0] [%20, 13] [1, 1] : tensor<224x13xbf16> to tensor
%extracted_slice_2 = tensor.extract_slice %1[%15, 0, 0, 0] [%17, 1, 64, 14] [1, 1, 1, 1] : tensor<4x1x64x14xbf16> to tensor
%pack = tensor.pack %extracted_slice padding_value(%cst : bf16) outer_dims_perm = [0, 1] inner_dims_pos = [0, 1] inner_tiles = [64, 14] into %extracted_slice_2 : tensor -> tensor
%21 = tensor.empty(%18) : tensor
%unpack = tensor.unpack %pack outer_dims_perm = [0, 1] inner_dims_pos = [0, 1] inner_tiles = [64, 14] into %21 : tensor -> tensor
```