class_docstr: An auto-batching DSL context.
  
  Auto-batching DSL operations are methods on the `ProgramBuilder` object.  It's
  used like this:
  
  ```python
  ab = dsl.ProgramBuilder()
  
  def fib_type(arg_types):
    return arg_types[0]
  
  with ab.function(type_inference=fib_type) as fibonacci:
    n = ab.param('n')
    ab.var.cond = ab.primop(lambda n: n > 1)
    with ab.if_(ab.var.cond):
      ab.var.nm1 = ab.primop(lambda n: n - 1)
      ab.var.fibm1 = ab.call(fibonacci, [ab.var.nm1])
      ab.var.nm2 = ab.primop(lambda n: n - 2)
      ab.var.fibm2 = ab.call(fibonacci, [ab.var.nm2])
      ab.var.ans = ab.primop(lambda fibm1, fibm2: fibm1 + fibm2)
    with ab.else_():
      ab.var.ans = ab.const(1)
    ab.return_(ab.var.ans)
  
  prog = ab.program(main=fibonacci)
  # Now `prog` is a well-formed `instructions.Program`, and the context
  # `ab` is no longer needed.
  ```
  
  Note the sequence of method calls on `ProgramBuilder` corresponds to the
  source code of the `Program` being defined, not its runtime behavior.  This is
  because (a) functions are defined with a context manager (rather than a Python
  function) which executes its body immediately and exactly once; and (b)
  function call instructions (and primitive operations) are just recorded, not
  entered recursively.
docstr: Returns the registered program as an `instructions.Program`.
  
  This is a helper method, equivalent to `self.module().program(main)`.
  
  Example:
  ```python
  ab = dsl.ProgramBuilder()
  
  with ab.function(...) as main:
    ...  # Do the stuff
  
  program = ab.program(main)
  ```
  
  Args:
    main: An `instructions.Function` object representing the main entry point.
  
  Raises:
    ValueError: If invoked inside a function definition, of if the intended
      `main` function was not defined.
  
  Returns:
    program: The `instructions.Program` corresponding to all the definitions
      accumulated in this `ProgramBuilder`.
code: def program(self, main):
      """Returns the registered program as an `instructions.Program`.
  
      This is a helper method, equivalent to `self.module().program(main)`.
  
      Example:
      ```python
      ab = dsl.ProgramBuilder()
  
      with ab.function(...) as main:
        ...  # Do the stuff
  
      program = ab.program(main)
      ```
  
      Args:
        main: An `instructions.Function` object representing the main entry point.
  
      Raises:
        ValueError: If invoked inside a function definition, of if the intended
          `main` function was not defined.
  
      Returns:
        program: The `instructions.Program` corresponding to all the definitions
          accumulated in this `ProgramBuilder`.
      """
      return self.module().program(main)
  
imports: import collections
  import contextlib
  import inspect
  from tensorflow_probability.python.experimental.auto_batching import instructions
label_desc: Use image node_id 22 for calling the ProgramBuilder obj's underlying member method code with example usage: obj.program(main) and returns: self