While submitting I am constantly getting:
WARNING: Your kernel does not support swap limit capabilities or the cgroup is not mounted. Memory limited without swap.
* daemon not running; starting now at tcp:5037
* daemon started successfully
INFO: Initialized TensorFlow Lite runtime.
ERROR: Encountered unresolved custom op: IdentityN.
ERROR: Node number 41 (IdentityN) failed to prepare.
Failed to apply NeuronDelegate delegate.
Traceback (most recent call last):
File "/tmp/codalab/tmptT034M/run/program/evaluation.py", line 173, in
file = open(LOG_NAME, 'r')
IOError: [Errno 2] No such file or directory: '/tmp/codalab/tmptT034M/run/output/output.csv'
The TFLite model was generated using TF 1.15.0 runtime and without the experimental converter by setting `converter.experimental_new_converter = False`. Could you folks please provide some information on this?Posted by: sayak @ Feb. 18, 2021, 12:57 p.m.
tf.identity is supported in TFLite. However, the tf.identity_n you reported here is not supported by TFLite.
Please find bellow for the ops compatibility of TFLite. Thank you.
Is it when we try running inference? Because the conversion works perfectly fine.Posted by: sayak @ Feb. 19, 2021, 9:29 a.m.