Please help.

[numb3rscount4nothing]

2023-02-22 01:38:33.013251: E tensorflow/stream_executor/cuda/cuda_driver.cc:271] failed call to cuInit: CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected
2023-02-22 01:38:33.013315: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (5a210547b290): /proc/driver/nvidia/version does not exist
2023-02-22 01:38:33.013714: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
Traceback (most recent call last):
File "main.py", line 5, in
from src.Predict import NN_Runner, XGBoost_Runner
File "/content/src/Predict/NN_Runner.py", line 10, in
model = load_model('Models/NN_Models/Trained-Model-ML')
File "/usr/local/lib/python3.8/dist-packages/keras/saving/save.py", line 205, in load_model
return saved_model_load.load(filepath, compile, options)
File "/usr/local/lib/python3.8/dist-packages/keras/saving/saved_model/load.py", line 155, in load
model.compile(**saving_utils.compile_args_from_training_config(
File "/usr/local/lib/python3.8/dist-packages/keras/saving/saving_utils.py", line 202, in compile_args_from_training_config
optimizer = optimizers.deserialize(optimizer_config)
File "/usr/local/lib/python3.8/dist-packages/keras/optimizers.py", line 95, in deserialize
return deserialize_keras_object(
File "/usr/local/lib/python3.8/dist-packages/keras/utils/generic_utils.py", line 659, in deserialize_keras_object
(cls, cls_config) = class_and_config_for_serialized_keras_object(
File "/usr/local/lib/python3.8/dist-packages/keras/utils/generic_utils.py", line 556, in class_and_config_for_serialized_keras_object
raise ValueError(
ValueError: Unknown optimizer: Custom>Adam. Please ensure this object is passed to the custom_objects argument. See https://www.tensorflow.org/guide/keras/save_and_serialize#registering_the_custom_object for details.
WARNING:tensorflow:Unresolved object in checkpoint: (root).call
WARNING:tensorflow:Unresolved object in checkpoint: (root).call_and_return_all_conditional_losses
WARNING:tensorflow:Unresolved object in checkpoint: (root)._default_save_signature
WARNING:tensorflow:Unresolved object in checkpoint: (root).layer-0.call
WARNING:tensorflow:Unresolved object in checkpoint: (root).layer-0.call_and_return_all_conditional_losses
WARNING:tensorflow:Unresolved object in checkpoint: (root).layer_with_weights-0.call
WARNING:tensorflow:Unresolved object in checkpoint: (root).layer_with_weights-0.call_and_return_all_conditional_losses
WARNING:tensorflow:Unresolved object in checkpoint: (root).layer_with_weights-1.call
WARNING:tensorflow:Unresolved object in checkpoint: (root).layer_with_weights-1.call_and_return_all_conditional_losses
WARNING:tensorflow:Unresolved object in checkpoint: (root).layer_with_weights-2.call
WARNING:tensorflow:Unresolved object in checkpoint: (root).layer_with_weights-2.call_and_return_all_conditional_losses
WARNING:tensorflow:Unresolved object in checkpoint: (root).layer_with_weights-3.call
WARNING:tensorflow:Unresolved object in checkpoint: (root).layer_with_weights-3.call_and_return_all_conditional_losses
WARNING:tensorflow:Unresolved object in checkpoint: (root).call.trace_0
WARNING:tensorflow:Unresolved object in checkpoint: (root).call.trace_1
WARNING:tensorflow:Unresolved object in checkpoint: (root).call.trace_2
WARNING:tensorflow:Unresolved object in checkpoint: (root).call.trace_3
WARNING:tensorflow:Unresolved object in checkpoint: (root).call_and_return_all_conditional_losses.trace_0
WARNING:tensorflow:Unresolved object in checkpoint: (root).call_and_return_all_conditional_losses.trace_1
WARNING:tensorflow:Unresolved object in checkpoint: (root).call_and_return_all_conditional_losses.trace_2
WARNING:tensorflow:Unresolved object in checkpoint: (root).call_and_return_all_conditional_losses.trace_3
WARNING:tensorflow:Unresolved object in checkpoint: (root).optimizer._update_step_xla
WARNING:tensorflow:Unresolved object in checkpoint: (root).signatures.serving_default
WARNING:tensorflow:Unresolved object in checkpoint: (root).layer-0.call.trace_0
WARNING:tensorflow:Unresolved object in checkpoint: (root).layer-0.call_and_return_all_conditional_losses.trace_0
WARNING:tensorflow:Unresolved object in checkpoint: (root).layer_with_weights-0.call.trace_0
WARNING:tensorflow:Unresolved object in checkpoint: (root).layer_with_weights-0.call_and_return_all_conditional_losses.trace_0
WARNING:tensorflow:Unresolved object in checkpoint: (root).layer_with_weights-1.call.trace_0
WARNING:tensorflow:Unresolved object in checkpoint: (root).layer_with_weights-1.call_and_return_all_conditional_losses.trace_0
WARNING:tensorflow:Unresolved object in checkpoint: (root).layer_with_weights-2.call.trace_0
WARNING:tensorflow:Unresolved object in checkpoint: (root).layer_with_weights-2.call_and_return_all_conditional_losses.trace_0
WARNING:tensorflow:Unresolved object in checkpoint: (root).layer_with_weights-3.call.trace_0
WARNING:tensorflow:Unresolved object in checkpoint: (root).layer_with_weights-3.call_and_return_all_conditional_losses.trace_0
WARNING:tensorflow:A checkpoint was restored (e.g. tf.train.Checkpoint.restore or tf.keras.Model.load_weights) but not all checkpointed values were used. See above for specific issues. Use expect_partial() on the load status object, e.g. tf.train.Checkpoint.restore(...).expect_partial(), to silence these warnings, or use assert_consumed() to make the check explicit. See https://www.tensorflow.org/guide/checkpoint#loading_mechanics for details.

[MetaUlya]

Having the same issue.

[DemonButler]

If you're running on Colab then heres how to fix the errors
1.) to fix CUDA at the top click on 'Runtime' and then 'Change Runtime Type' and change the Hardware accelerator to GPU instead of CPU. It does have a work around but I'm not sure on that workaround but that what fixed that issue for CUDA.

2.) For the next codeline right after the first one I have my own spec section that worked for me and here are the commands that i've used
!pip uninstall Monkeylearn -y
!pip uninstall keras -y
!pip uninstall numpy -y
!pip uninstall tensorflow -y
!pip uninstall tensorflow-gpu -y
!pip install numpy==1.20
!pip install keras==2.6.0
!pip install tensorflow
!pip install monkeylearn
!pip install torch==1.9.0+cu111 torchvision==0.10.0+cu111 -f https://download.pytorch.org/whl/cu111/torch_stable.html

Im using MonkeyLearn instead of tweepy cause twitter api has an application now that you have to get approved for.

retry to run the next Cell
! python3 main.py -nn -xgb -odds=draftkings

and everything should pop up regularly. hope this help!

[Calle1410]

Yes the refering Respitory has made some troubleshooting which means that it now should works. You can use ! python3 main.py -A -odds=fanduel as well