Getting type error

[Zhejing-Chin]

I get the below error when running the line : !keras_retinanet/bin/train.py --freeze-backbone --random-transform --weights {PRETRAINED_MODEL} --batch-size 8 --steps 500 --epochs 10 csv annotations.csv classes.csv

Traceback (most recent call last): File "keras_retinanet/bin/train.py", line 547, in main() File "keras_retinanet/bin/train.py", line 507, in main config=args.config File "keras_retinanet/bin/train.py", line 117, in create_models model = model_with_weights(backbone_retinanet(num_classes, num_anchors=num_anchors, modifier=modifier, pyramid_levels=pyramid_levels), weights=weights, skip_mismatch=True) File "keras_retinanet/bin/../../keras_retinanet/models/resnet.py", line 38, in retinanet return resnet_retinanet(*args, backbone=self.backbone, **kwargs) File "keras_retinanet/bin/../../keras_retinanet/models/resnet.py", line 99, in resnet_retinanet resnet = keras_resnet.models.ResNet50(inputs, include_top=False, freeze_bn=True) File "/usr/local/lib/python3.6/dist-packages/keras_resnet/models/_2d.py", line 188, in ResNet50 return ResNet(inputs, blocks, numerical_names=numerical_names, block=keras_resnet.blocks.bottleneck_2d, include_top=include_top, classes=classes, *args, **kwargs) File "/usr/local/lib/python3.6/dist-packages/keras_resnet/models/_2d.py", line 66, in ResNet x = keras_resnet.layers.BatchNormalization(axis=axis, epsilon=1e-5, freeze=freeze_bn, name="bn_conv1")(x) File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 926, in call input_list) File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 1117, in _functional_construction_call outputs = call_fn(cast_inputs, *args, **kwargs) File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/autograph/impl/api.py", line 258, in wrapper raise e.ag_error_metadata.to_exception(e) TypeError: in user code:

/usr/local/lib/python3.6/dist-packages/keras_resnet/layers/_batch_normalization.py:17 call  *
    return super(BatchNormalization, self).call(training=(not self.freeze), *args, **kwargs)

TypeError: type object got multiple values for keyword argument 'training'

Any thoughts ?