KerasHub model deserialization issue

[r-zip]

I am attempting to follow the tutorial here and code snippets here, but when I run these snippets I get the following error message:

TypeError: <class 'keras_hub.src.models.resnet.resnet_backbone.ResNetBackbone'> could not be deserialized properly. Please ensure that components that are Python object instances (layers, models, etc.) returned by `get_config()` are explicitly deserialized in the model's `from_config()` method.

config={'module': 'keras_hub.src.models.resnet.resnet_backbone', 'class_name': 'ResNetBackbone', 'config': {'name': 'res_net_backbone', 'trainable': True, 'input_conv_filters': [64], 'input_conv_kernel_sizes': [7], 'stackwise_num_filters': [64, 128, 256, 512], 'stackwise_num_blocks': [3, 4, 6, 3], 'stackwise_num_strides': [1, 2, 2, 2], 'block_type': 'bottleneck_block', 'use_pre_activation': False, 'image_shape': [None, None, 3]}, 'registered_name': 'keras_hub>ResNetBackbone'}.

Exception encountered: unsupported operand type(s) for %: 'NoneType' and 'int'

I am running MacOS Sequoia 15.2 on a Macbook M1 Pro. The dependencies in my pyproject.toml look like:

dependencies = [
    "beartype",
    "cyclopts",
    "flax>=0.10.2",
    "hypothesis",
    "jax[cuda12]==0.4.28; sys_platform == 'linux'",
    "jax==0.4.28; sys_platform == 'darwin'",
    "jaxtyping",
    "jupyterlab",
    "kagglehub",
    "keras-cv>=0.9.0",
    "keras-hub-nightly>=0.19.0.dev202502030345",
    "keras-nightly>=3.8.0.dev2025020303",
    "matplotlib",
    "opencv-python",
    "optax",
    "scikit-image",
    "tensorflow~=2.18.0",
    "tqdm",
    "torch>=2.3.1",
    "torchvision>=0.18.1",
]

I have experimented with pinning/unpinning JAX and Keras versions to troubleshoot the issue, without any luck. This error occurs when using both JAX and PyTorch backends.

[dhantule]

@r-zip, thanks for reporting this. Could you please open this issue in the Keras-Hub repo?

[r-zip]

Sure. Sorry for misfiling it here.