The grader encounters errors testing my solution. I have passed all the provided tests. Here is the nbgrader output:
[ValidateApp | INFO] Validating ‘/home/jovyan/work/submitted/courseraLearner/W4_Assignment/C1W4_Assignment.ipynb’
[ValidateApp | INFO] Executing notebook with kernel: python3
2023-05-22 21:08:54.695317: 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
2023-05-22 21:08:54.695592: 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
2023-05-22 21:08:54.695608: 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.
2023-05-22 21:08:56.049683: 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
2023-05-22 21:08:56.049720: E tensorflow/stream_executor/cuda/cuda_driver.cc:351] failed call to cuInit: UNKNOWN ERROR (303)
2023-05-22 21:08:56.049759: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (ip-10-2-120-213.ec2.internal): /proc/driver/nvidia/version does not exist
2023-05-22 21:08:56.049970: 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
2023-05-22 21:08:56.075567: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2999990000 Hz
2023-05-22 21:08:56.077571: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x564f240d9990 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2023-05-22 21:08:56.077609: 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.
The grading problem section from the Report Issue popup is not functional either for me. Please help. Thank you!
Grader error W4 assignment
Course Q&A
TensorFlow: Advanced Techniques Specialization
Custom Models, Layers and Loss Functions with TF
Some students had problems with the grader in this assignment, you can see in this post:
https://community.deeplearning.ai/t/c1-w4-assignment-grading-failed-error/304866
And they solved just restarting the notebook.
Hope it will be your case, and you can solve just reestarting.
Pere.