ml_collections.config_dict.placeholder¶

ml_collections.config_dict.placeholder(field_type, required=False)[source]¶

Defines an entry in a ConfigDict that has no value yet.

Example:

config = configdict.create(
    batch_size = configdict.placeholder(int),
    frame_shape = configdict.placeholder(tf.TensorShape))

Parameters:	field_type – type of value. required – If True, the placeholder will raise an error on access if the underlying value hasn’t been set.
Returns:	A FieldReference with value None and the given type.