runtime error

Exit code: 1. Reason: R (303) Downloading data from https://storage.googleapis.com/keras-applications/efficientnetb0_notop.h5  0/16705208 ━━━━━━━━━━━━━━━━━━━━ 0s 0s/step  1982464/16705208 ━━━━━━━━━━━━━━━━━━━━ 0s 0us/step  5783552/16705208 ━━━━━━━━━━━━━━━━━━━━ 0s 0us/step  9756672/16705208 ━━━━━━━━━━━━━━━━━━━━ 0s 0us/step 13754368/16705208 ━━━━━━━━━━━━━━━━━━━━ 0s 0us/step 16705208/16705208 ━━━━━━━━━━━━━━━━━━━━ 0s 0us/step Traceback (most recent call last): File "/home/user/app/app.py", line 20, in <module> base_model = EfficientNetB0(weights='imagenet', include_top=False, input_tensor=input_tensor) \ File "/usr/local/lib/python3.10/site-packages/keras/src/applications/efficientnet.py", line 571, in EfficientNetB0 return EfficientNet( File "/usr/local/lib/python3.10/site-packages/keras/src/applications/efficientnet.py", line 434, in EfficientNet model.load_weights(weights_path) File "/usr/local/lib/python3.10/site-packages/keras/src/utils/traceback_utils.py", line 122, in error_handler raise e.with_traceback(filtered_tb) from None File "/usr/local/lib/python3.10/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)

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