getting error while training yolov3 :- ValueError: tf.function-decorated function tried to create variables on non-first call - tensorflow

Question

I am training a custom yolov3 model and getting error "ValueError: tf.function-decorated function tried to create variables on non-first call." while fitting the model for training.
getting eror on fit_generator statement. Could somebody please help?
train_generator = BatchGenerator(
instances = train_ints,
anchors = config['model']['anchors'],
labels = labels,
downsample = 32, # ratio between network input's size and network output's size, 32 for YOLOv3
max_box_per_image = max_box_per_image,
batch_size = config['train']['batch_size'],
min_net_size = config['model']['min_input_size'],
max_net_size = config['model']['max_input_size'],
shuffle = True,
jitter = 0.3,
norm = normalize
)
train_model, infer_model = create_model(
nb_class = len(labels),
anchors = config['model']['anchors'],
max_box_per_image = max_box_per_image,
max_grid = [config['model']['max_input_size'], config['model']['max_input_size']],
batch_size = config['train']['batch_size'],
warmup_batches = warmup_batches,
ignore_thresh = config['train']['ignore_thresh'],
multi_gpu = multi_gpu,
saved_weights_name = config['train']['saved_weights_name'],
lr = config['train']['learning_rate'],
grid_scales = config['train']['grid_scales'],
obj_scale = config['train']['obj_scale'],
noobj_scale = config['train']['noobj_scale'],
xywh_scale = config['train']['xywh_scale'],
class_scale = config['train']['class_scale'],
)
###############################
# Kick off the training
###############################
callbacks = create_callbacks(config['train']['saved_weights_name'], config['train']['tensorboard_dir'], infer_model)
print ("before kickoff", len(train_generator))
print ("before kickoff", train_generator)
**train_model.fit_generator(
generator = train_generator,**
steps_per_epoch = len(train_generator) * config['train']['train_times'],
epochs = config['train']['nb_epochs'] + config['train']['warmup_epochs'],
#epochs = 1,
verbose = 2 if config['train']['debug'] else 1,
callbacks = callbacks,
workers = 2,
max_queue_size = 8
)
print ("after kickoff")
Error am getting is :
WARNING:tensorflow:Model failed to serialize as JSON. Ignoring... Layer YoloLayer has arguments in __init__ and therefore must override get_config.
Epoch 1/21
Traceback (most recent call last):
File "train.py", line 300, in
main(args)
File "train.py", line 269, in main
train_model.fit_generator(
File "/Users/karthikeyan/opt/anaconda3/lib/python3.8/site-packages/tensorflow/python/util/deprecation.py", line 324, in new_func
return func(*args, **kwargs)
File "/Users/karthikeyan/opt/anaconda3/lib/python3.8/site-packages/tensorflow/python/keras/engine/training.py", line 1815, in fit_generator
return self.fit(
File "/Users/karthikeyan/opt/anaconda3/lib/python3.8/site-packages/tensorflow/python/keras/engine/training.py", line 108, in _method_wrapper
return method(self, *args, **kwargs)
File "/Users/karthikeyan/opt/anaconda3/lib/python3.8/site-packages/tensorflow/python/keras/engine/training.py", line 1098, in fit
tmp_logs = train_function(iterator)
File "/Users/karthikeyan/opt/anaconda3/lib/python3.8/site-packages/tensorflow/python/eager/def_function.py", line 780, in call
result = self._call(*args, **kwds)
File "/Users/karthikeyan/opt/anaconda3/lib/python3.8/site-packages/tensorflow/python/eager/def_function.py", line 840, in _call
return self._stateless_fn(*args, **kwds)
File "/Users/karthikeyan/opt/anaconda3/lib/python3.8/site-packages/tensorflow/python/eager/function.py", line 2828, in call
graph_function, args, kwargs = self._maybe_define_function(args, kwargs)
File "/Users/karthikeyan/opt/anaconda3/lib/python3.8/site-packages/tensorflow/python/eager/function.py", line 3213, in _maybe_define_function
graph_function = self._create_graph_function(args, kwargs)
File "/Users/karthikeyan/opt/anaconda3/lib/python3.8/site-packages/tensorflow/python/eager/function.py", line 3065, in _create_graph_function
func_graph_module.func_graph_from_py_func(
File "/Users/karthikeyan/opt/anaconda3/lib/python3.8/site-packages/tensorflow/python/framework/func_graph.py", line 986, in func_graph_from_py_func
func_outputs = python_func(*func_args, **func_kwargs)
File "/Users/karthikeyan/opt/anaconda3/lib/python3.8/site-packages/tensorflow/python/eager/def_function.py", line 600, in wrapped_fn
return weak_wrapped_fn().wrapped(*args, **kwds)
File "/Users/karthikeyan/opt/anaconda3/lib/python3.8/site-packages/tensorflow/python/framework/func_graph.py", line 973, in wrapper
raise e.ag_error_metadata.to_exception(e)
ValueError: in user code:
/Users/karthikeyan/opt/anaconda3/lib/python3.8/site-packages/tensorflow/python/keras/engine/training.py:806 train_function *
return step_function(self, iterator)
/Users/karthikeyan/Desktop/table/yolo.py:46 call *
batch_seen = tf.Variable(0.)
/Users/karthikeyan/opt/anaconda3/lib/python3.8/site-packages/tensorflow/python/ops/variables.py:262 __call__ **
return cls._variable_v2_call(*args, **kwargs)
/Users/karthikeyan/opt/anaconda3/lib/python3.8/site-packages/tensorflow/python/ops/variables.py:244 _variable_v2_call
return previous_getter(
/Users/karthikeyan/opt/anaconda3/lib/python3.8/site-packages/tensorflow/python/ops/variables.py:67 getter
return captured_getter(captured_previous, **kwargs)
/Users/karthikeyan/opt/anaconda3/lib/python3.8/site-packages/tensorflow/python/distribute/distribute_lib.py:2857 creator
return next_creator(**kwargs)
/Users/karthikeyan/opt/anaconda3/lib/python3.8/site-packages/tensorflow/python/ops/variables.py:67 getter
return captured_getter(captured_previous, **kwargs)
/Users/karthikeyan/opt/anaconda3/lib/python3.8/site-packages/tensorflow/python/distribute/distribute_lib.py:2857 creator
return next_creator(**kwargs)
/Users/karthikeyan/opt/anaconda3/lib/python3.8/site-packages/tensorflow/python/ops/variables.py:67 getter
return captured_getter(captured_previous, **kwargs)
/Users/karthikeyan/opt/anaconda3/lib/python3.8/site-packages/tensorflow/python/distribute/distribute_lib.py:2857 creator
return next_creator(**kwargs)
/Users/karthikeyan/opt/anaconda3/lib/python3.8/site-packages/tensorflow/python/ops/variables.py:67 getter
return captured_getter(captured_previous, **kwargs)
/Users/karthikeyan/opt/anaconda3/lib/python3.8/site-packages/tensorflow/python/eager/def_function.py:701 invalid_creator_scope
raise ValueError(
ValueError: tf.function-decorated function tried to create variables on non-first call.

Answer 1

I am able to find an answer. Including "tf.config.experimental_run_functions_eagerly(True)" this statement after import tensorflow resolved the issue.