Split the data from the input value into TensorArray elements.
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.
|