Missing util file for C1W4_Assignment

Hi,
Please help me with util file for C1W4_Assignment. I have deleted it by mistake.
Thanks

Hi @Ganesh_Raj_Ranganath,

You can click the Help icon in the upper right and use the “Get Latest Version” button to update your files. It will update missing files (like your utils.py).

Thanks Wendy!

Upon submission. I ran into this issue in the grader output. Please advise.

//
[ValidateApp | INFO] Validating ‘/home/jovyan/work/submitted/courseraLearner/W4_Assignment/C1W4_Assignment.ipynb’
[ValidateApp | INFO] Executing notebook with kernel: python3
2022-10-07 01:46:56.979397: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library ‘libnvinfer.so.6’; dlerror: libnvinfer.so.6: cannot open shared object file: No such file or directory
2022-10-07 01:46:56.979515: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library ‘libnvinfer_plugin.so.6’; dlerror: libnvinfer_plugin.so.6: cannot open shared object file: No such file or directory
2022-10-07 01:46:56.979533: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:30] Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.
2022-10-07 01:46:58.175595: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library ‘libcuda.so.1’; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory
2022-10-07 01:46:58.175629: E tensorflow/stream_executor/cuda/cuda_driver.cc:351] failed call to cuInit: UNKNOWN ERROR (303)
2022-10-07 01:46:58.175654: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (ip-10-2-100-131.ec2.internal): /proc/driver/nvidia/version does not exist
2022-10-07 01:46:58.175834: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA
2022-10-07 01:46:58.201561: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2999995000 Hz
2022-10-07 01:46:58.203309: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55cbf5f729b0 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2022-10-07 01:46:58.203343: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version
[ValidateApp | ERROR] Timeout waiting for execute reply (30s).
[ValidateApp | ERROR] Interrupting kernel
Success! Your notebook passes all the tests.
//

Hmm. You can ignore the lines above the “Timeout waiting for execute reply (30s)” - those are normal. But I’m not sure what caused the timeout. It’s interesting also that it says “Success”. Did it give you full credit for the assignment?

As a first check, I’d suggest bringing up your assignment again and re-submitting. Maybe the timeout was an anomaly.

Hi Wendy,
Nope, it gave 0/2 score. I have resubmitted the assignment still see the same issue. Unable to figure it.
Thanks

Finally, it worked. Its the same assignment resubmitted after rebooting the server through help menu of jupyter.

I am having exactly the same issue. How did you reboot the server through the help menu? I could find no such entry in the help menu.

@Ra_Fehr,
I’m guessing @Ganesh_Raj_Ranganath meant the Kernel menu. You can try choosing the “Restart and Clear Output” option on the Kernel menu and see if that helps.

Yes, that’s correct.