[ValidateApp | INFO] Validating ‘/home/jovyan/work/submitted/courseraLearner/W3A1/Tensorflow_introduction.ipynb’
[ValidateApp | INFO] Executing notebook with kernel: python3
2021-06-06 18:17:54.527333: 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
2021-06-06 18:17:54.527392: 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.
2021-06-06 18:17:56.449232: 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
2021-06-06 18:17:56.449330: W tensorflow/stream_executor/cuda/cuda_driver.cc:312] failed call to cuInit: UNKNOWN ERROR (303)
2021-06-06 18:17:56.449387: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (somehost): /proc/driver/nvidia/version does not exist
2021-06-06 18:17:56.449860: 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.
2021-06-06 18:17:56.470582: I tensorflow/core/platform/profile_utils/cpu_utils.cc:104] CPU Frequency: 2999995000 Hz
2021-06-06 18:17:57.915997: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7efc7bc97630 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2021-06-06 18:17:57.916093: 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
Tests failed on 1 cell(s)! These tests could be hidden. Please check your submission.
All those scary sounding error messages at the beginning are normal. We’ve pleaded with the course staff to fix that, but apparently it’s a Coursera thing and they can’t do anything about it. That and the fact that the grader can’t at least tell you which of the functions it doesn’t like. Sigh. Here is my grader output for a notebook that gets 100/100 on this exercise:
[ValidateApp | INFO] Validating '/home/jovyan/work/submitted/courseraLearner/W3A1/Tensorflow_introduction.ipynb'
[ValidateApp | INFO] Executing notebook with kernel: python3
2021-06-16 04:22:46.789277: 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
2021-06-16 04:22:46.789326: 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.
2021-06-16 04:22:48.869224: 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
2021-06-16 04:22:48.869281: W tensorflow/stream_executor/cuda/cuda_driver.cc:312] failed call to cuInit: UNKNOWN ERROR (303)
2021-06-16 04:22:48.869315: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (somehost): /proc/driver/nvidia/version does not exist
2021-06-16 04:22:48.869646: 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.
2021-06-16 04:22:48.877431: I tensorflow/core/platform/profile_utils/cpu_utils.cc:104] CPU Frequency: 3000000000 Hz
2021-06-16 04:22:48.878734: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f65f5ac8370 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2021-06-16 04:22:48.878815: 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.
As you can see, it’s the same as yours except for that critical last line. So there is something wrong with one of your functions, now we need to figure out which one.
Actually are you sure there are no other messages below the ones you showed in your grader output? Can you scroll down? I tried breaking some of the code on purpose and I can get the grader to show me which functions failed.
I already talked to a mentor about the issue but do not have permissions to delete the post. Sorry.
Just curious what the problem was, but you don’t have to say if you don’t want to. The goal is just to file a bug on the grader, if it was missing giving good feedback for some reason. There is nothing in your post that’s against any rules, so no need to delete it.
I have the same problem and would appreciate any help.