I could not understand why this error raised , give me explanation and solution ...thanks

(myenv) C:\Users\30863\Downloads\Function-level>Python main.py --config config\config.yaml --data_dir C:\Users\30863\Downloads\Function-level\data --embedding ELMo Using TensorFlow backend. 2022-08-16 16:52:54.650568: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_100.dll [INFO] Start training process.... [INFO] Loading data from C:\Users\30863\Downloads\Function-level\C:\Users\30863\Downloads\Function-level\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] ------------------------------------------------------- 2022-08-16 16:52:58.090750: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 2022-08-16 16:52:58.168596: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'nvcuda.dll'; dlerror: nvcuda.dll not found 2022-08-16 16:52:58.169252: E tensorflow/stream_executor/cuda/cuda_driver.cc:318] failed call to cuInit: UNKNOWN ERROR (303) 2022-08-16 16:52:58.178145: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:169] retrieving CUDA diagnostic information for host: 30863-436055 2022-08-16 16:52:58.178451: 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\myenv\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\myenv\lib\site-packages\keras\backend\tensorflow_backend.py:517: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.

WARNING:tensorflow:From C:\Users\30863\Anaconda3\envs\myenv\lib\site-packages\keras\backend\tensorflow_backend.py:4138: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead.

WARNING:tensorflow:From C:\Users\30863\Anaconda3\envs\myenv\lib\site-packages\keras\backend\tensorflow_backend.py:133: The name tf.placeholder_with_default is deprecated. Please use tf.compat.v1.placeholder_with_default instead.

WARNING:tensorflow:From C:\Users\30863\Anaconda3\envs\myenv\lib\site-packages\keras\backend\tensorflow_backend.py:3445: calling dropout (from tensorflow.python.ops.nn_ops) with keep_prob is deprecated and will be removed in a future version. Instructions for updating: Please use rate instead of keep_prob. Rate should be set to rate = 1 - keep_prob. WARNING:tensorflow:From C:\Users\30863\Anaconda3\envs\myenv\lib\site-packages\keras\backend\tensorflow_backend.py:3445: calling dropout (from tensorflow.python.ops.nn_ops) with keep_prob is deprecated and will be removed in a future version. Instructions for updating: Please use rate instead of keep_prob. Rate should be set to rate = 1 - keep_prob. WARNING:tensorflow:From C:\Users\30863\Anaconda3\envs\myenv\lib\site-packages\keras\optimizers.py:790: The name tf.train.Optimizer is deprecated. Please use tf.compat.v1.train.Optimizer instead.

WARNING:tensorflow:From C:\Users\30863\Anaconda3\envs\myenv\lib\site-packages\keras\optimizers.py:790: The name tf.train.Optimizer is deprecated. Please use tf.compat.v1.train.Optimizer instead.

WARNING:tensorflow:From C:\Users\30863\Anaconda3\envs\myenv\lib\site-packages\keras\backend\tensorflow_backend.py:3376: The name tf.log is deprecated. Please use tf.math.log instead.

WARNING:tensorflow:From C:\Users\30863\Anaconda3\envs\myenv\lib\site-packages\tensorflow_core\python\ops\nn_impl.py:183: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version. Instructions for updating: Use tf.where in 2.0, which has the same broadcast rule as np.where WARNING:tensorflow:From C:\Users\30863\Anaconda3\envs\myenv\lib\site-packages\tensorflow_core\python\ops\nn_impl.py:183: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version. Instructions for updating: Use tf.where in 2.0, which has the same broadcast rule as np.where [INFO] Model structure loaded.

Layer (type) Output Shape Param #

input_1 (InputLayer) (None, None) 0

lambda_1 (Lambda) (None, None, 1024) 0

bidirectional_1 (Bidirection (None, None, 256) 1180672

bidirectional_2 (Bidirection (None, None, 256) 394240

global_max_pooling1d_1 (Glob (None, 256) 0

dropout_1 (Dropout) (None, 256) 0

dense_1 (Dense) (None, 64) 16448

dense_2 (Dense) (None, 1) 65

Total params: 1,591,425 Trainable params: 1,591,425 Non-trainable params: 0

WARNING:tensorflow:From C:\Users\30863\Anaconda3\envs\myenv\lib\site-packages\keras\backend\tensorflow_backend.py:986: The name tf.assign_add is deprecated. Please use tf.compat.v1.assign_add instead.

WARNING:tensorflow:From C:\Users\30863\Anaconda3\envs\myenv\lib\site-packages\keras\backend\tensorflow_backend.py:973: The name tf.assign is deprecated. Please use tf.compat.v1.assign instead.

WARNING:tensorflow:From C:\Users\30863\Anaconda3\envs\myenv\lib\site-packages\keras\backend\tensorflow_backend.py:2741: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.

Train on 397 samples, validate on 100 samples WARNING:tensorflow:From C:\Users\30863\Anaconda3\envs\myenv\lib\site-packages\keras\backend\tensorflow_backend.py:174: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead.

WARNING:tensorflow:From C:\Users\30863\Anaconda3\envs\myenv\lib\site-packages\keras\backend\tensorflow_backend.py:174: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead.

WARNING:tensorflow:From C:\Users\30863\Anaconda3\envs\myenv\lib\site-packages\keras\backend\tensorflow_backend.py:181: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.

WARNING:tensorflow:From C:\Users\30863\Anaconda3\envs\myenv\lib\site-packages\keras\backend\tensorflow_backend.py:190: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead.

WARNING:tensorflow:From C:\Users\30863\Anaconda3\envs\myenv\lib\site-packages\keras\backend\tensorflow_backend.py:199: The name tf.is_variable_initialized is deprecated. Please use tf.compat.v1.is_variable_initialized instead.

WARNING:tensorflow:From C:\Users\30863\Anaconda3\envs\myenv\lib\site-packages\keras\backend\tensorflow_backend.py:206: The name tf.variables_initializer is deprecated. Please use tf.compat.v1.variables_initializer instead.

WARNING:tensorflow:From C:\Users\30863\Anaconda3\envs\myenv\lib\site-packages\keras\callbacks.py:850: The name tf.summary.merge_all is deprecated. Please use tf.compat.v1.summary.merge_all instead.

WARNING:tensorflow:From C:\Users\30863\Anaconda3\envs\myenv\lib\site-packages\keras\callbacks.py:853: The name tf.summary.FileWriter is deprecated. Please use tf.compat.v1.summary.FileWriter instead.

Epoch 1/150 2022-08-16 16:53:16.416047: W tensorflow/core/framework/cpu_allocator_impl.cc:81] Allocation of 2883584000 exceeds 10% of system memory. 2022-08-16 16:53:16.416063: W tensorflow/core/framework/cpu_allocator_impl.cc:81] Allocation of 1474560000 exceeds 10% of system memory. 16/397 [>.............................] - ETA: 23:27 - loss: 0.7414 - acc: 0.43752022-08-16 16:54:13.050035: W tensorflow/core/framework/cpu_allocator_impl.cc:81] Allocation of 2883584000 exceeds 10% of system memory. 2022-08-16 16:54:13.050044: W tensorflow/core/framework/cpu_allocator_impl.cc:81] Allocation of 1474560000 exceeds 10% of system memory. 32/397 [=>............................] - ETA: 22:28 - loss: 0.6843 - acc: 0.56252022-08-16 16:55:12.228544: W tensorflow/core/framework/cpu_allocator_impl.cc:81] Allocation of 2883584000 exceeds 10% of system memory. 397/397 [==============================] - 1624s 4s/step - loss: 0.5006 - acc: 0.8640 - val_loss: 0.3459 - val_acc: 0.9200 Traceback (most recent call last): File "main.py", line 34, in helper.exec() File "C:\Users\30863\Downloads\Function-level\src\helper.py", line 284, in exec class_weight = class_weights) File "C:\Users\30863\Anaconda3\envs\myenv\lib\site-packages\keras\engine\training.py", line 1039, in fit validation_steps=validation_steps) File "C:\Users\30863\Anaconda3\envs\myenv\lib\site-packages\keras\engine\training_arrays.py", line 217, in fit_loop callbacks.on_epoch_end(epoch, epoch_logs) File "C:\Users\30863\Anaconda3\envs\myenv\lib\site-packages\keras\callbacks.py", line 79, in on_epoch_end callback.on_epoch_end(epoch, logs) File "C:\Users\30863\Anaconda3\envs\myenv\lib\site-packages\keras\callbacks.py", line 429, in on_epoch_end filepath = self.filepath.format(epoch=epoch + 1, **logs) KeyError: 'val_accuracy'

DanielLin1986 / Function-level-Vulnerability-Detection

KeyError: 'val_accuracy' in trainning process #19

Layer (type) Output Shape Param #

dense_2 (Dense) (None, 1) 65