Week 1 Programming Assignment 2, receiving zero grade

Course Q&A Deep Learning Specialization Convolutional Neural Networks
1

I am receiving a grade of zero for the second programming assignment in Week 1, despite all tests passing and getting an accuracy greater than 80% on the final image classifier.

When I look at the output from the grader, there seems to be errors with loading libraries and kernel communication:

[ValidateApp | INFO] Validating '/home/jovyan/work/submitted/courseraLearner/W1A2/Convolution_model_Application.ipynb' [ValidateApp | INFO] Executing notebook with kernel: python3 2021-05-28 00:40:47.761136: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory 2021-05-28 00:40:47.761180: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine. 2021-05-28 00:40:49.250465: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2021-05-28 00:40:49.250497: W tensorflow/stream_executor/cuda/cuda_driver.cc:312] failed call to cuInit: UNKNOWN ERROR (303) 2021-05-28 00:40:49.250515: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (ip-10-3-0-31.ec2.internal): /proc/driver/nvidia/version does not exist 2021-05-28 00:40:49.250684: 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 AVX512F FMA To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. 2021-05-28 00:40:49.277433: I tensorflow/core/platform/profile_utils/cpu_utils.cc:104] CPU Frequency: 2999995000 Hz 2021-05-28 00:40:49.279334: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x558281cf3880 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2021-05-28 00:40:49.279359: 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 [ValidateApp | ERROR] Timeout waiting for execute reply (30s). [ValidateApp | ERROR] Interrupting kernel Success! Your notebook passes all the tests.

Is it possible that something broke on the grading backend? Or is it more likely that I am doing something wrong?

2

Hi, @stephenshank. FWIW I just submitted this assignment and it worked normally for me. So there are two theories: 1) there may have been some transient problem on the server side or 2) there is something in your notebook that causes this. My suggestion is to submit again and see what happens the second time. If it succeeds now, then that would make theory 1) seem like the explanation. If it still fails, then I’m afraid the scientific evidence would suggest theory 2) is the operative one. Please run the experiment and let us know your results. Science! :nerd_face:

1 Like
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Thank you for the prompt response! I’ve resubmitted the same notebook and received a passing score. So it appears to have been #1. Much appreciated!

4

That’s good news! Thanks for confirming your results.