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: Returns an all-True mask `np.ndarray` with shape `[size]`.
docstr_tok: ["Returns","an","all-True","mask","`","np.ndarray","`","with","shape","`","[","size","]","`","."]
code: def full_mask(self, size, name=None):
      """Returns an all-True mask `np.ndarray` with shape `[size]`."""
      del name
      return np.ones(size, dtype=np.bool_)
  
imports: import collections
  import numpy
  from tensorflow_probability.python.experimental.auto_batching import instructions
label_desc: Use image node_id 11 for calling the NumpyBackend obj's underlying member method code with example usage: obj.full_mask(size, name) and returns: np