Method scatter

tensorflow/python/ops/tensor_array_ops.py:1152–1168

Scatter the values of a `Tensor` in specific indices of a `TensorArray`. Args: indices: A `1-D` `Tensor` taking values in `[0, max_value)`. If the `TensorArray` is not dynamic, `max_value=size()`. value: (N+1)-D. Tensor of type `dtype`. The Tensor to unpack. name: A

(self, indices, value, name=None)

  @tf_should_use.should_use_result
  def scatter(self, indices, value, name=None):
    """Scatter the values of a `Tensor` in specific indices of a `TensorArray`.

    Args:
      indices: A `1-D` `Tensor` taking values in `[0, max_value)`.  If
        the `TensorArray` is not dynamic, `max_value=size()`.
      value: (N+1)-D.  Tensor of type `dtype`.  The Tensor to unpack.
      name: A name for the operation (optional).

    Returns:
      A new TensorArray object with flow that ensures the scatter occurs.
      Use this object all for subsequent operations.

    Raises:
      ValueError: if the shape inference fails.
    """
    return self._implementation.scatter(indices, value, name=name)

  @tf_should_use.should_use_result
  def split(self, value, lengths, name=None):