TF-AT COURSE Assignment4

Course Q&A TensorFlow: Advanced Techniques Specialization Custom Models, Layers and Loss Functions with TF
1

The code is working on the lab and the tests are passed but the grade is zero i got this output

[ValidateApp | INFO] Validating ‘/home/jovyan/work/submitted/courseraLearner/W4_Assignment/C1W4_Assignment.ipynb’
[ValidateApp | INFO] Executing notebook with kernel: python3
2023-11-17 15:31:39.558371: 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
2023-11-17 15:31:39.558484: 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
2023-11-17 15:31:39.558498: 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.
2023-11-17 15:31:40.859417: 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
2023-11-17 15:31:40.859453: E tensorflow/stream_executor/cuda/cuda_driver.cc:351] failed call to cuInit: UNKNOWN ERROR (303)
2023-11-17 15:31:40.859482: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (ip-10-2-8-169.ec2.internal): /proc/driver/nvidia/version does not exist
2023-11-17 15:31:40.859695: 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
2023-11-17 15:31:40.883956: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2999995000 Hz
2023-11-17 15:31:40.885954: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x5631cf3251b0 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2023-11-17 15:31:40.885982: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version
[ValidateApp | ERROR] Timeout waiting for execute reply (30s).

2

Hello,

Your error is stating some of the libraries is not installed properly for the GPU with TensorRT to be used.

So check again, if you have uncomment the required statements given as per the instruction at the top in the grader cell.

If unable to find, you can DM your notebook. Click on my name and then message. Do not post codes here. Thank you.

Regards
DP