tensorflow.python.framework.errors_impl.NotFoundError: NewRandomAccessFile failed to Create/Open: #17
Description
I try to train and obtain high-level representation on the model when I getting same error log :
(pythonProject1) C:\Users\30863\Func-level-vul-detect>Python main.py --config config\config.yaml --data_dir C:\Users\30863\Func-level-vul-detect\data --embedding ELMo
Using TensorFlow backend.
2022-08-09 14:15:53.451951: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'cudart64_100.dll'; dlerror: cudart64_100.dll not found
2022-08-09 14:15:53.452130: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
[INFO] Start training process....
[INFO] Loading data from C:\Users\30863\Func-level-vul-detect\C:\Users\30863\Func-level-vul-detect\data....
[INFO] The length of the loaded data list is : 622
[INFO] Applying ELMo model!
[INFO] Setting padding length 1000 for ELMo model. Each textual sequence contains 1000 elements.
[INFO] Patition the data ....
[INFO] Data processing completed!
[INFO] -------------------------------------------------------
[INFO] There are 397 total samples in the training set. 28 vulnerable samples.
[INFO] There are 100 total samples in the validation set. 8 vulnerable samples.
[INFO] -------------------------------------------------------
2022-08-09 14:15:55.883333: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
2022-08-09 14:15:55.887998: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'nvcuda.dll'; dlerror: nvcuda.dll not found
2022-08-09 14:15:55.888066: E tensorflow/stream_executor/cuda/cuda_driver.cc:318] failed call to cuInit: UNKNOWN ERROR (303)
2022-08-09 14:15:55.892895: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:169] retrieving CUDA diagnostic information for host: 30863-436055
2022-08-09 14:15:55.893079: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:176] hostname: 30863-436055
[INFO] No GPU detected.
[INFO] Using CPU for training. It may take considerable time!
[INFO] Loading the elmo model.
WARNING:tensorflow:From C:\Users\30863\Anaconda3\envs\pythonProject1\lib\site-packages\keras\backend\tensorflow_backend.py:74: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.
WARNING:tensorflow:From C:\Users\30863\Anaconda3\envs\pythonProject1\lib\site-packages\keras\backend\tensorflow_backend.py:517: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.
Traceback (most recent call last):
File "main.py", line 34, in
helper.exec()
File "C:\Users\30863\Func-level-vul-detect\src\helper.py", line 253, in exec
model_func = elmo_network.build_elmo_network(GPU_flag)
File "C:\Users\30863\Func-level-vul-detect\src\models\elmo_network.py", line 43, in build_elmo_network
elmo_embedding = Lambda(self.make_elmo_embedding, output_shape=(None, 1024))(elmo_input)
File "C:\Users\30863\Anaconda3\envs\pythonProject1\lib\site-packages\keras\engine\base_layer.py", line 457, in call
output = self.call(inputs, **kwargs)
File "C:\Users\30863\Anaconda3\envs\pythonProject1\lib\site-packages\keras\layers\core.py", line 687, in call
return self.function(inputs, **arguments)
File "C:\Users\30863\Func-level-vul-detect\src\models\elmo_network.py", line 35, in make_elmo_embedding
elmo_model = hub.Module("https://tfhub.dev/google/elmo/2", trainable=True)
File "C:\Users\30863\Anaconda3\envs\pythonProject1\lib\site-packages\tensorflow_hub\module.py", line 157, in init
self._spec = as_module_spec(spec)
File "C:\Users\30863\Anaconda3\envs\pythonProject1\lib\site-packages\tensorflow_hub\module.py", line 30, in as_module_spec
return load_module_spec(spec)
File "C:\Users\30863\Anaconda3\envs\pythonProject1\lib\site-packages\tensorflow_hub\module.py", line 65, in load_module_spec
return registry.loader(path)
File "C:\Users\30863\Anaconda3\envs\pythonProject1\lib\site-packages\tensorflow_hub\registry.py", line 51, in call
return impl(*args, **kwargs)
File "C:\Users\30863\Anaconda3\envs\pythonProject1\lib\site-packages\tensorflow_hub\native_module.py", line 139, in call
module_def_proto = self._get_module_def_proto(path)
File "C:\Users\30863\Anaconda3\envs\pythonProject1\lib\site-packages\tensorflow_hub\native_module.py", line 130, in _get_module_def_proto
module_def_proto.ParseFromString(f.read())
File "C:\Users\30863\Anaconda3\envs\pythonProject1\lib\site-packages\tensorflow_core\python\lib\io\file_io.py", line 122, in read
self._preread_check()
File "C:\Users\30863\Anaconda3\envs\pythonProject1\lib\site-packages\tensorflow_core\python\lib\io\file_io.py", line 84, in _preread_check
compat.as_bytes(self.__name), 1024 * 512)
tensorflow.python.framework.errors_impl.NotFoundError: NewRandomAccessFile failed to Create/Open: C:\Users\30863\AppData\Local\Temp\tfhub_modules\9bb74bc86f9caffc8c47dd7b33ec4bb354d9602d\tfhub_module.pb : The system cannot find the file specified.
; No such file or directory
Anyone tell me why this error raised and solution ? I didn't get any idea about this
sorry for the intreput and silly questions , i am small boy on this field .. advance thanks