Split the data from the input value into TensorArray elements.

    handle, value, lengths, flow_in, name=None

Assuming that lengths takes on values

and that value has shape

this splits values into a TensorArray with T tensors.

TensorArray index t will be the subtensor of values with starting position

and having size


  • handle: A Tensor of type resource. The handle to a TensorArray.
  • value: A Tensor. The concatenated tensor to write to the TensorArray.
  • lengths: A Tensor of type int64. The vector of lengths, how to split the rows of value into the TensorArray.
  • flow_in: A Tensor of type float32. A float scalar that enforces proper chaining of operations.
  • name: A name for the operation (optional).


A Tensor of type float32.