tf.raw_ops.TensorArraySplitV3

Split the data from the input value into TensorArray elements.

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.raw_ops.TensorArraySplitV3

tf.raw_ops.TensorArraySplitV3(
    handle, value, lengths, flow_in, name=None
)

Assuming that lengths takes on values

```(n0, n1, ..., n(T-1))```

and that value has shape

```(n0 + n1 + ... + n(T-1) x d0 x d1 x ...)```,

this splits values into a TensorArray with T tensors.

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

```(n0 + n1 + ... + n(t-1), 0, 0, ...)```

and having size

```nt x d0 x d1 x ...```

Args
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).

Returns
A Tensor of type float32.