tf.get_session_handle(
data,
name=None
)
Defined in tensorflow/python/ops/session_ops.py
.
Return the handle of data
.
This is EXPERIMENTAL and subject to change.
Keep data
"in-place" in the runtime and create a handle that can be
used to retrieve data
in a subsequent run().
Combined with get_session_tensor
, we can keep a tensor produced in
one run call in place, and use it as the input in a future run call.
Args:
data
: A tensor to be stored in the session.name
: Optional name prefix for the return tensor.
Returns:
A scalar string tensor representing a unique handle for data
.
Raises:
TypeError
: ifdata
is not a Tensor.
Example:
c = tf.multiply(a, b)
h = tf.get_session_handle(c)
h = sess.run(h)
p, a = tf.get_session_tensor(h.handle, tf.float32)
b = tf.multiply(a, 10)
c = sess.run(b, feed_dict={p: h.handle})