parameters: (x: ragged_tensor.Ragged,
                 keep_prob=None,
                 noise_shape=None,
                 seed=None,
                 name=None,
                 rate=None)
docstring: Ragged dispatch target for tf.nn.dropout.
docstring_summary: Ragged dispatch target for tf.nn.dropout.
docstring_tokens: Ragged dispatch target for tf . nn . dropout .
function: def dropout_v1(x: ragged_tensor.Ragged,
                 keep_prob=None,
                 noise_shape=None,
                 seed=None,
                 name=None,
                 rate=None):
    """Ragged dispatch target for tf.nn.dropout."""
    if noise_shape is not None:
      raise ValueError('noise_shape is not supported yet for RaggedTensor x')
    with ops.name_scope(name, 'RaggedNNDropout', [x, rate]):
      x = ragged_tensor.convert_to_tensor_or_ragged_tensor(x, name='x')
      return x.with_flat_values(
          nn_ops.dropout(
              x.flat_values, keep_prob=keep_prob, seed=seed, rate=rate))
function_tokens: def dropout_v1 ( x : ragged_tensor . Ragged , keep_prob = None , noise_shape = None , seed = None , name = None , rate = None ) : if noise_shape is not None : raise ValueError ( 'noise_shape is not supported yet for RaggedTensor x' ) with ops . name_scope ( name , 'RaggedNNDropout' , [ x , rate ] ) : x = ragged_tensor . convert_to_tensor_or_ragged_tensor ( x , name = 'x' ) return x . with_flat_values ( nn_ops . dropout ( x . flat_values , keep_prob = keep_prob , seed = seed , rate = rate ) )