I got 100/100 twice. Here is what I did:
1.
- restart kernel and run all
- submit
- restart kernel and clear output (and not run any cell)
- submit.
Both cases got 100/100, but the grader still showed a lot of errors like the first time.
Below is the log of the latest submission.
[ValidateApp | INFO] Validating ‘/home/jovyan/work/submitted/courseraLearner/W3A2/Image_segmentation_Unet_v1.ipynb’
[ValidateApp | INFO] Executing notebook with kernel: python3
2021-04-26 01:35:07.230607: 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
2021-04-26 01:35:07.230645: 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.
2021-04-26 01:35:09.076815: 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
2021-04-26 01:35:09.076853: W tensorflow/stream_executor/cuda/cuda_driver.cc:312] failed call to cuInit: UNKNOWN ERROR (303)
2021-04-26 01:35:09.076878: 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
2021-04-26 01:35:09.077169: 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.
2021-04-26 01:35:09.082569: I tensorflow/core/platform/profile_utils/cpu_utils.cc:104] CPU Frequency: 2999995000 Hz
2021-04-26 01:35:09.083291: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7fd896e39d00 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2021-04-26 01:35:09.083322: 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
2021-04-26 01:36:05.768188: W tensorflow/core/kernels/data/cache_dataset_ops.cc:798] The calling iterator did not fully read the dataset being cached. In order to avoid unexpected truncation of the dataset, the partially cached contents of the dataset will be discarded. This can happen if you have an input pipeline similar to dataset.cache().take(k).repeat(). You should use dataset.take(k).cache().repeat() instead.
2021-04-26 01:36:05.975719: W tensorflow/core/kernels/data/cache_dataset_ops.cc:798] The calling iterator did not fully read the dataset being cached. In order to avoid unexpected truncation of the dataset, the partially cached contents of the dataset will be discarded. This can happen if you have an input pipeline similar to dataset.cache().take(k).repeat(). You should use dataset.take(k).cache().repeat() instead.
Success! Your notebook passes all the tests.