TypeError: Could not build a TypeSpec for KerasTensor(type_spec=TensorSpec(shape=(None, None, 4), dtype=tf.float32, name=None), name='tf.math.truediv/truediv:0'

[rgaufman]

When I try to run the detector I get this:

python3 -W ignore detector.py train --model=coco --dataset=../data --class_map=./taco_config/map_10.csv --round 0
Command:  train
Model:  coco
Dataset:  ../data
Logs:  /Users/hackeron/TACO/detector/models/logs
creating index...
index created!
Number of images used: 1200
creating index...
index created!
Number of images used: 150

Configurations:
BACKBONE                       resnet50
BACKBONE_STRIDES               [4, 8, 16, 32, 64]
BATCH_SIZE                     2
BBOX_STD_DEV                   [0.1 0.1 0.2 0.2]
DETECTION_CLASSLESS_NMS_THRESHOLD 0.9
DETECTION_MAX_INSTANCES        100
DETECTION_MIN_CONFIDENCE       0.7
DETECTION_NMS_THRESHOLD        0.3
DETECTION_SCORE_RATIO          True
GPU_COUNT                      1
GRADIENT_CLIP_NORM             5.0
IMAGES_PER_GPU                 2
IMAGE_MAX_DIM                  1024
IMAGE_META_SIZE                23
IMAGE_MIN_DIM                  800
IMAGE_MIN_SCALE                0
IMAGE_RESIZE_MODE              square
IMAGE_SHAPE                    [1024 1024    3]
LEARNING_MOMENTUM              0.9
LEARNING_RATE                  0.001
LOSS_WEIGHTS                   {'rpn_class_loss': 1.0, 'rpn_bbox_loss': 1.0, 'mrcnn_class_loss': 1.0, 'mrcnn_bbox_loss': 1.0, 'mrcnn_mask_loss': 1.0}
MASK_POOL_SIZE                 14
MASK_SHAPE                     [28, 28]
MASK_SHARE                     False
MAX_GT_INSTANCES               100
MEAN_PIXEL                     [123.7 116.8 103.9]
MINI_MASK_SHAPE                (512, 512)
NAME                           taco
NUM_CLASSES                    11
OPTIMIZER                      SGD
POOL_SIZE                      7
POST_NMS_ROIS_INFERENCE        1000
POST_NMS_ROIS_TRAINING         2000
ROI_POSITIVE_RATIO             0.33
RPN_ANCHOR_RATIOS              [0.5, 1, 2]
RPN_ANCHOR_SCALES              (32, 64, 128, 256, 512)
RPN_ANCHOR_STRIDE              1
RPN_BBOX_STD_DEV               [0.1 0.1 0.2 0.2]
RPN_NMS_THRESHOLD              0.7
RPN_TRAIN_ANCHORS_PER_IMAGE    256
STEPS_PER_EPOCH                600
TRAIN_BN                       False
TRAIN_ROIS_PER_IMAGE           200
USE_MINI_MASK                  True
USE_OBJECT_ZOOM                True
USE_RPN_ROIS                   True
VALIDATION_STEPS               50
WEIGHT_DECAY                   0.0001
ZOOM_IN_FREQ                   0.5


Traceback (most recent call last):
  File "/Users/hackeron/TACO/detector/detector.py", line 272, in <module>
    model = MaskRCNN(mode="training", config=config, model_dir=DEFAULT_LOGS_DIR)
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/hackeron/TACO/detector/model.py", line 1921, in __init__
    self.keras_model = self.build(mode=mode, config=config)
                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/hackeron/TACO/detector/model.py", line 1961, in build
    gt_boxes = KL.Lambda(lambda x: norm_boxes_graph(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/homebrew/lib/python3.11/site-packages/keras/src/utils/traceback_utils.py", line 70, in error_handler
    raise e.with_traceback(filtered_tb) from None
  File "/opt/homebrew/lib/python3.11/site-packages/tensorflow/python/framework/type_spec.py", line 962, in type_spec_from_value
    raise TypeError(f"Could not build a TypeSpec for {value} of "
TypeError: Could not build a TypeSpec for KerasTensor(type_spec=TensorSpec(shape=(None, None, 4), dtype=tf.float32, name=None), name='tf.math.truediv/truediv:0', description="created by layer 'tf.math.truediv'") of unsupported type <class 'keras.src.engine.keras_tensor.KerasTensor'>.

I'm using tensorflow 2.13.0rc0

Any ideas?