code: def minibatch_rv_logprob(op, values, *inputs, **kwargs):
      [value] = values
      rv, *total_size = inputs
      return _logprob_helper(rv, value, **kwargs) * get_scaling(
          total_size, value.shape
      )
  
file_path: pymc/pymc/variational/minibatch_rv.py
imports: from typing import Any, Sequence, Union, cast
  import pytensor.tensor
  from pytensor import Variable, config
  from pytensor.graph import Apply, Op
  from pytensor.tensor import NoneConst, TensorVariable, as_tensor_variable
  from pymc.logprob.abstract import MeasurableVariable, _logprob, _logprob_helper
label_desc: Use image node_id 3 for calling a global function with example usage: minibatch_rv_logprob(op, values) and returns: unknown