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Hello, when trying to run the benchmarks from the jupyter notebook, which for various reasons I had to port to run in a local script instead, I received the following error message:
2023-12-23 18:19:26.336247: I external/local_tsl/tsl/cuda/cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used.
2023-12-23 18:19:26.359764: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2023-12-23 18:19:26.359816: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2023-12-23 18:19:26.360542: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2023-12-23 18:19:26.364383: I external/local_tsl/tsl/cuda/cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used.
2023-12-23 18:19:26.364542: 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 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-12-23 18:19:28.150936: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
14945 training set records, 1661 validation set records, 4152 test set records.
Traceback (most recent call last):
File "/home/gradwan/protein_bert/sally1.py", line 37, in
pretrained_model_generator, input_encoder = load_pretrained_model()
File "/home/gradwan/protein_bert/proteinbert/existing_model_loading.py", line 54, in load_pretrained_model
return load_pretrained_model_from_dump(dump_file_path, create_model_function, create_model_kwargs = create_model_kwargs, optimizer_class = optimizer_class, lr = lr,
File "/home/gradwan/protein_bert/proteinbert/model_generation.py", line 159, in load_pretrained_model_from_dump
n_annotations, model_weights, optimizer_weights = pickle.load(f)
_pickle.UnpicklingError: invalid load key, 'v'.
Could you please help? Many thanks!
The text was updated successfully, but these errors were encountered:
Hello, when trying to run the benchmarks from the jupyter notebook, which for various reasons I had to port to run in a local script instead, I received the following error message:
2023-12-23 18:19:26.336247: I external/local_tsl/tsl/cuda/cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used.
2023-12-23 18:19:26.359764: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2023-12-23 18:19:26.359816: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2023-12-23 18:19:26.360542: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2023-12-23 18:19:26.364383: I external/local_tsl/tsl/cuda/cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used.
2023-12-23 18:19:26.364542: 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 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-12-23 18:19:28.150936: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
14945 training set records, 1661 validation set records, 4152 test set records.
Traceback (most recent call last):
File "/home/gradwan/protein_bert/sally1.py", line 37, in
pretrained_model_generator, input_encoder = load_pretrained_model()
File "/home/gradwan/protein_bert/proteinbert/existing_model_loading.py", line 54, in load_pretrained_model
return load_pretrained_model_from_dump(dump_file_path, create_model_function, create_model_kwargs = create_model_kwargs, optimizer_class = optimizer_class, lr = lr,
File "/home/gradwan/protein_bert/proteinbert/model_generation.py", line 159, in load_pretrained_model_from_dump
n_annotations, model_weights, optimizer_weights = pickle.load(f)
_pickle.UnpicklingError: invalid load key, 'v'.
Could you please help? Many thanks!
The text was updated successfully, but these errors were encountered: