Error with keras.applications.EfficientNetB0() #21692
Description
To reproduce run:
python3 -c 'import keras; keras.applications.EfficientNetB0()'python3 -c 'import keras;keras.applications.EfficientNetB0()'
2025-09-24 18:16:56.122355: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
I0000 00:00:1758752218.079873 1275074 gpu_device.cc:2020] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 9613 MB memory: -> device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:01:00.0, compute capability: 7.5
I0000 00:00:1758752218.080927 1275074 gpu_device.cc:2020] Created device /job:localhost/replica:0/task:0/device:GPU:1 with 666 MB memory: -> device: 1, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:03:00.0, compute capability: 7.5
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "/home/tomasz/.cache/R/reticulate/uv/cache/archive-v0/y3soa2jYCeG7RqToCIoJ5/lib/python3.11/site-packages/keras/src/applications/efficientnet.py", line 571, in EfficientNetB0
return EfficientNet(
^^^^^^^^^^^^^
File "/home/tomasz/.cache/R/reticulate/uv/cache/archive-v0/y3soa2jYCeG7RqToCIoJ5/lib/python3.11/site-packages/keras/src/applications/efficientnet.py", line 434, in EfficientNet
model.load_weights(weights_path)
File "/home/tomasz/.cache/R/reticulate/uv/cache/archive-v0/y3soa2jYCeG7RqToCIoJ5/lib/python3.11/site-packages/keras/src/utils/traceback_utils.py", line 122, in error_handler
raise e.with_traceback(filtered_tb) from None
File "/home/tomasz/.cache/R/reticulate/uv/cache/archive-v0/y3soa2jYCeG7RqToCIoJ5/lib/python3.11/site-packages/keras/src/legacy/saving/legacy_h5_format.py", line 452, in _set_weights
raise ValueError(
ValueError: Shape mismatch in layer #1 (named stem_conv)for weight stem_conv/kernel. Weight expects shape (3, 3, 1, 32). Received saved weight with shape (3, 3, 3, 32)