Warning using Minibatch and Censored together (RNG Variable has shared clients)

Ok, here is the warning I get running the above code with pymc v5.16.2 and pytensor v2.25.2. The warning is more verbose, but seems to be basically the same:

UserWarning: RNG Variable RNG(<Generator(PCG64) at 0x14E1A2A40>) has multiple distinct clients [(integers_rv{"(),()->()"}(RNG(<Generator(PCG64) at 0x14E1A2A40>), [100], [0], [1000]), 0), (integers_rv{"(),()->()"}(RNG(<Generator(PCG64) at 0x14E1A2A40>), [100], ExpandDims{axis=0}.0, ExpandDims{axis=0}.0), 0)], likely due to an inconsistent random graph. No default update will be returned.
  warnings.warn(