Error while using AIMET Visualization for Quantization for TensorFlow API about aimet HOT 3 OPEN

import tensorflow as tf
tf.compat.v1.disable_eager_execution()

# TF specific imports
import tensorflow as tf
tf.compat.v1.disable_eager_execution()

from tensorflow.keras.applications.resnet50 import ResNet50

# Import for starting Bokeh Server
from aimet_common.utils import start_bokeh_server_session
from aimet_tensorflow import plotting_utils

tf.compat.v1.keras.backend.clear_session()
model_resnet = ResNet50(weights='imagenet', input_shape=(224, 224, 3))
sess = tf.compat.v1.keras.backend.get_session()

with sess.as_default():
    # Getting a layer for visualizaing its weight ranges
    conv_op = sess.graph.get_operation_by_name('conv1_conv/Conv2D')

    # Starting a Bokeh Server with port number 8001
    visualization_url = start_bokeh_server_session(port=8001)
    print(visualization_url)
    results_dir='./aimet_vis'
    plotting_utils.visualize_weight_ranges_single_layer(sess=sess, layer=conv_op, results_dir=results_dir)
sess.close()

2023-11-03 06:12:10.313710: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:980] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-11-03 06:12:10.313862: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:980] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-11-03 06:12:10.313922: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:980] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-11-03 06:12:10.314020: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:980] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-11-03 06:12:10.314116: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:980] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-11-03 06:12:10.314168: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1616] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 1021 MB memory:  -> device: 0, name: NVIDIA GeForce RTX 3050 Laptop GPU, pci bus id: 0000:01:00.0, compute capability: 8.6
INFO:bokeh.server.server:Starting Bokeh server version 1.2.0 (running on Tornado 6.3.3)
Process Process-4:
Traceback (most recent call last):
  File "/usr/lib/python3.8/multiprocessing/process.py", line 315, in _bootstrap
    self.run()
  File "/usr/lib/python3.8/multiprocessing/process.py", line 108, in run
    self._target(*self._args, **self._kwargs)
  File "/usr/local/lib/python3.8/dist-packages/aimet_common/utils.py", line 278, in start_bokeh_server
    server.run_until_shutdown()
  File "/usr/local/lib/python3.8/dist-packages/bokeh/server/server.py", line 184, in run_until_shutdown
    self._loop.start()
  File "/usr/local/lib/python3.8/dist-packages/tornado/platform/asyncio.py", line 195, in start
    self.asyncio_loop.run_forever()
  File "/usr/lib/python3.8/asyncio/base_events.py", line 560, in run_forever
    self._check_running()
  File "/usr/lib/python3.8/asyncio/base_events.py", line 552, in _check_running
    raise RuntimeError('This event loop is already running')
RuntimeError: This event loop is already running
INFO:bokeh.io.state:Session output file './aimet_vis/visualize_weight_ranges_single_layer.html' already exists, will be overwritten.
('http://localhost:8001/', <Process name='Process-4' pid=6131 parent=5892 started>)