Return the handle of data
.
tf.compat.v1.get_session_handle( data, name=None )
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 | if data is not a Tensor. |
c = tf.multiply(a, b) h = tf.compat.v1.get_session_handle(c) h = sess.run(h) p, a = tf.compat.v1.get_session_tensor(h.handle, tf.float32) b = tf.multiply(a, 10) c = sess.run(b, feed_dict={p: h.handle})
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Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/compat/v1/get_session_handle