Function parse_values

tensorflow/contrib/training/python/training/hparam.py:195–307

Parses hyperparameter values from a string into a python map. `values` is a string containing comma-separated `name=value` pairs. For each pair, the value of the hyperparameter named `name` is set to `value`. If a hyperparameter name appears multiple times in `values`, a ValueError is ra

(values, type_map, ignore_unknown=False)

def parse_values(values, type_map, ignore_unknown=False):
  """Parses hyperparameter values from a string into a python map.

  `values` is a string containing comma-separated `name=value` pairs.
  For each pair, the value of the hyperparameter named `name` is set to
  `value`.

  If a hyperparameter name appears multiple times in `values`, a ValueError
  is raised (e.g. 'a=1,a=2', 'a[1]=1,a[1]=2').

  If a hyperparameter name in both an index assignment and scalar assignment,
  a ValueError is raised.  (e.g. 'a=[1,2,3],a[0] = 1').

  The hyperparameter name may contain '.' symbols, which will result in an
  attribute name that is only accessible through the getattr and setattr
  functions.  (And must be first explicit added through add_hparam.)

  WARNING: Use of '.' in your variable names is allowed, but is not well
  supported and not recommended.

  The `value` in `name=value` must follows the syntax according to the
  type of the parameter:

  *  Scalar integer: A Python-parsable integer point value.  E.g.: 1,
     100, -12.
  *  Scalar float: A Python-parsable floating point value.  E.g.: 1.0,
     -.54e89.
  *  Boolean: Either true or false.
  *  Scalar string: A non-empty sequence of characters, excluding comma,
     spaces, and square brackets.  E.g.: foo, bar_1.
  *  List: A comma separated list of scalar values of the parameter type
     enclosed in square brackets.  E.g.: [1,2,3], [1.0,1e-12], [high,low].

  When index assignment is used, the corresponding type_map key should be the
  list name.  E.g. for "arr[1]=0" the type_map must have the key "arr" (not
  "arr[1]").

  Args:
    values: String.  Comma separated list of `name=value` pairs where
      'value' must follow the syntax described above.
    type_map: A dictionary mapping hyperparameter names to types.  Note every
      parameter name in values must be a key in type_map.  The values must
      conform to the types indicated, where a value V is said to conform to a
      type T if either V has type T, or V is a list of elements of type T.
      Hence, for a multidimensional parameter 'x' taking float values,
      'x=[0.1,0.2]' will parse successfully if type_map['x'] = float.
    ignore_unknown: Bool. Whether values that are missing a type in type_map
      should be ignored. If set to True, a ValueError will not be raised for
      unknown hyperparameter type.

  Returns:
    A python map mapping each name to either:
    * A scalar value.
    * A list of scalar values.
    * A dictionary mapping index numbers to scalar values.
    (e.g. "x=5,L=[1,2],arr[1]=3" results in {'x':5,'L':[1,2],'arr':{1:3}}")

  Raises: