Class Initializer

tensorflow/python/ops/init_ops.py:55–97

Initializer base class: all initializers inherit from this class.

class Initializer(object):
  """Initializer base class: all initializers inherit from this class."""

  def __call__(self, shape, dtype=None, partition_info=None):
    """Returns a tensor object initialized as specified by the initializer.

    Args:
      shape: Shape of the tensor.
      dtype: Optional dtype of the tensor. If not provided use the initializer
        dtype.
      partition_info: Optional information about the possible partitioning of a
        tensor.
    """
    raise NotImplementedError

  def get_config(self):
    """Returns the configuration of the initializer as a JSON-serializable dict.

    Returns:
      A JSON-serializable Python dict.
    """
    return {}

  @classmethod
  def from_config(cls, config):
    """Instantiates an initializer from a configuration dictionary.

    Example:

    ```python
    initializer = RandomUniform(-1, 1)
    config = initializer.get_config()
    initializer = RandomUniform.from_config(config)
    ```

    Args:
      config: A Python dictionary. It will typically be the output of
        `get_config`.

    Returns:
      An Initializer instance.
    """
    return cls(**config)


@tf_export(v1=["initializers.zeros", "zeros_initializer"])