Method split

tensorflow/python/ops/tensor_array_ops.py:1171–1187

Split the values of a `Tensor` into the TensorArray. Args: value: (N+1)-D. Tensor of type `dtype`. The Tensor to split. lengths: 1-D. int32 vector with the lengths to use when splitting `value` along its first dimension. name: A name for the operation (optional).

(self, value, lengths, name=None)

  @tf_should_use.should_use_result
  def split(self, value, lengths, name=None):
    """Split the values of a `Tensor` into the TensorArray.

    Args:
      value: (N+1)-D.  Tensor of type `dtype`.  The Tensor to split.
      lengths: 1-D.  int32 vector with the lengths to use when splitting
        `value` along its first dimension.
      name: A name for the operation (optional).

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

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

  def size(self, name=None):
    """Return the size of the TensorArray."""