Artificial Neural Networks and Deep Learning 2022 - Homework 1 Forum

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> SUBMISSION ERROR

Hi! We have this submission error, can someone please tell us something about it?

2022-11-17 18:15:03.821728: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F AVX512_VNNI FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2022-11-17 18:15:03.946969: I tensorflow/core/util/util.cc:169] 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`.
2022-11-17 18:15:03.976178: E tensorflow/stream_executor/cuda/cuda_blas.cc:2981] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2022-11-17 18:15:06.402800: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F AVX512_VNNI FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2022-11-17 18:15:07.769293: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1616] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 22831 MB memory: -> device: 0, name: Quadro RTX 6000, pci bus id: 0000:1a:00.0, compute capability: 7.5
Traceback (most recent call last):
File "/multiverse/storage/lattari/Prj/postdoc/Courses/AN2DL_2022/Competition1_running_dir/worker_gpu0_dir/tmp/codalab/tmphF8B_Z/run/program/score.py", line 129, in
M = model(submission_dir)
File "/multiverse/storage/lattari/Prj/postdoc/Courses/AN2DL_2022/Competition1_running_dir/worker_gpu0_dir/tmp/codalab/tmphF8B_Z/run/input/res/model.py", line 6, in __init__
self.model = tf.keras.models.load_model(os.path.join(path, 'Ef_NetB3_EarlyLR_AUG'))
File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 70, in error_handler
raise e.with_traceback(filtered_tb) from None
File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/training/py_checkpoint_reader.py", line 66, in get_tensor
return CheckpointReader.CheckpointReader_GetTensor(
IndexError: Read less bytes than requested

Posted by: federica_spuriforotti @ Nov. 17, 2022, 6:34 p.m.
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