runtime error

27: I tensorflow/core/util/port.cc:110] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. 2023-07-07 14:15:17.944255: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used. 2023-07-07 14:15:17.987187: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used. 2023-07-07 14:15:17.987772: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. 2023-07-07 14:15:18.852121: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT Augmented training images: Found 7500 images belonging to 10 classes. Non-augmented training images: Found 7500 images belonging to 10 classes. Unchanged test images: Found 2500 images belonging to 10 classes. Traceback (most recent call last): File "/home/user/app/app.py", line 93, in <module> images, labels = train_data.next() File "/home/user/.local/lib/python3.10/site-packages/keras/src/preprocessing/image.py", line 168, in next return self._get_batches_of_transformed_samples(index_array) File "/home/user/.local/lib/python3.10/site-packages/keras/src/preprocessing/image.py", line 384, in _get_batches_of_transformed_samples x = self.image_data_generator.apply_transform(x, params) File "/home/user/.local/lib/python3.10/site-packages/keras/src/preprocessing/image.py", line 2011, in apply_transform x = apply_affine_transform( File "/home/user/.local/lib/python3.10/site-packages/keras/src/preprocessing/image.py", line 2525, in apply_affine_transform if scipy is None: NameError: name 'scipy' is not defined

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