class_docstr: Implements the Numpy backend ops for a PC auto-batching VM.
class_docstr_tok: ["Implements","the","Numpy","backend","ops","for","a","PC","auto-batching","VM","."]
docstr: Implements reduce_min for Numpy backend.
docstr_tok: ["Implements","reduce_min","for","Numpy","backend","."]
code: def reduce_min(self, t, name=None):
      """Implements reduce_min for Numpy backend."""
      del name
      return np.min(t)
  
imports: import collections
  import numpy
  from tensorflow_probability.python.experimental.auto_batching import instructions
label_desc: Use image node_id 16 for calling the NumpyBackend obj's underlying member method code with example usage: obj.reduce_min(t, name) and returns: np