WARNING:root:Skipping record (ref too long)

[Zer0day-0]

Hello Devs,

I am running SpliceAI in an Local machine in an conda environment (conda 24.1.2)
System information(CPU):
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Byte Order: Little Endian
Address sizes: 46 bits physical, 48 bits virtual
CPU(s): 20
On-line CPU(s) list: 0-19
Thread(s) per core: 1
Core(s) per socket: 12
Socket(s): 1
NUMA node(s): 1
Vendor ID: GenuineIntel
CPU family: 6
Model: 151
Model name: 12th Gen Intel(R) Core(TM) i7-12700K
Stepping: 2
CPU MHz: 4600.000
CPU max MHz: 5000.0000
CPU min MHz: 800.0000
BogoMIPS: 7219.20
Virtualization: VT-x
L1d cache: 288 KiB
L1i cache: 192 KiB
L2 cache: 7.5 MiB
NUMA node0 CPU(s): 0-19

GPU information:
NVIDIA-SMI 510.47.03 Driver Version: 510.47.03 CUDA Version: 11.6
GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC
Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M.
0 NVIDIA T1000 Off | 00000000:01:00.0 Off | N/A
35% 38C P8 N/A / 50W | 150MiB / 4096MiB | 0% Default

while Running, It is generation the required file; whereas it is giving me this error:

WARNING:tensorflow:6 out of the last 111 calls to <function Model.make_predict_function..predict_function at 0x7f573c1414d0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has experimental_relax_shapes=True option that relaxes argument shapes that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details.

WARNING:root:Skipping record (ref too long): followed by the location of the transcript.

Can you plese look into this ? Thanks in advance!