tensorflow_probability/python/layers/distribution_layer.py
def params_size(event_shape=(), name=None):
    """The number of `params` needed to create a single distribution."""
    with tf.compat.v1.name_scope(name, 'IndependentNormal_params_size',
                                 [event_shape]):
      event_shape = tf.convert_to_tensor(
          value=event_shape, name='event_shape', dtype_hint=tf.int32)
      return 2 * _event_size(
          event_shape, name=name or 'IndependentNormal_params_size')
def params_size(event_shape=(), name=None):
    """The number of `params` needed to create a single distribution."""
    with tf.compat.v1.name_scope(name, 'IndependentNormal_params_size',
                                 [event_shape]):
      event_shape = tf.convert_to_tensor(
          value=event_shape, name='event_shape', dtype_hint=tf.int32)
      return 2 * _event_size(
          event_shape, name=name or 'IndependentNormal_params_size')
def params_size ( event_shape = ( ) , name = None ) : with tf . compat . v1 . name_scope ( name , 'IndependentNormal_params_size' , [ event_shape ] ) : event_shape = tf . convert_to_tensor ( value = event_shape , name = 'event_shape' , dtype_hint = tf . int32 ) return 2 * _event_size ( event_shape , name = name or 'IndependentNormal_params_size' )
The number of `params` needed to create a single distribution.
The number of params needed to create a single distribution .