C4W2: ResNet - all tests passed, assignment did not

Course Q&A Deep Learning Specialization Convolutional Neural Networks
1

I have implemented all needed ResNet steps, all tests passed (accuracy 0.7667 is even higher than expected), but the grading fails. The Grader output (see below) does not look as if there is a problem in the code. What do I do?

[ValidateApp | INFO] Validating ‘/home/jovyan/work/submitted/courseraLearner/W2A1/Residual_Networks.ipynb’
[ValidateApp | INFO] Executing notebook with kernel: python3
2021-05-06 09:12:14.759632: 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
2021-05-06 09:12:14.759671: 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.
2021-05-06 09:12:15.960002: 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
2021-05-06 09:12:15.960029: W tensorflow/stream_executor/cuda/cuda_driver.cc:312] failed call to cuInit: UNKNOWN ERROR (303)
2021-05-06 09:12:15.960051: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (ip-10-3-0-38.ec2.internal): /proc/driver/nvidia/version does not exist
2021-05-06 09:12:15.960237: 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.
2021-05-06 09:12:15.985579: I tensorflow/core/platform/profile_utils/cpu_utils.cc:104] CPU Frequency: 2999995000 Hz
2021-05-06 09:12:15.987339: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x556030510cb0 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2021-05-06 09:12:15.987367: 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] Traceback (most recent call last):
File “/opt/conda/lib/python3.7/site-packages/nbconvert/preprocessors/execute.py”, line 589, in run_cell
msg = self.kc.iopub_channel.get_msg(timeout=timeout)
File “/opt/conda/lib/python3.7/site-packages/jupyter_client/blocking/channels.py”, line 57, in get_msg
raise Empty
_queue.Empty

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/opt/conda/lib/python3.7/site-packages/nbgrader/apps/validateapp.py", line 72, in start
    validator.validate_and_print(filename)
  File "/opt/conda/lib/python3.7/site-packages/nbgrader/validator.py", line 340, in validate_and_print
    results = self.validate(filename)
  File "/opt/conda/lib/python3.7/site-packages/nbgrader/validator.py", line 311, in validate
    nb = self._preprocess(nb)
  File "/opt/conda/lib/python3.7/site-packages/nbgrader/validator.py", line 290, in _preprocess
    nb, resources = pp.preprocess(nb, resources)
  File "/opt/conda/lib/python3.7/site-packages/nbgrader/preprocessors/execute.py", line 41, in preprocess
    output = super(Execute, self).preprocess(nb, resources)
  File "/opt/conda/lib/python3.7/site-packages/nbconvert/preprocessors/execute.py", line 405, in preprocess
    nb, resources = super(ExecutePreprocessor, self).preprocess(nb, resources)
  File "/opt/conda/lib/python3.7/site-packages/nbconvert/preprocessors/base.py", line 69, in preprocess
    nb.cells[index], resources = self.preprocess_cell(cell, resources, index)
  File "/opt/conda/lib/python3.7/site-packages/nbconvert/preprocessors/execute.py", line 438, in preprocess_cell
    reply, outputs = self.run_cell(cell, cell_index, store_history)
  File "/opt/conda/lib/python3.7/site-packages/nbconvert/preprocessors/execute.py", line 597, in run_cell
    raise TimeoutError("Timeout waiting for IOPub output")
TimeoutError: Timeout waiting for IOPub output

[ValidateApp | ERROR] nbgrader encountered a fatal error while trying to validate ‘submitted/courseraLearner/W2A1/Residual_Networks.ipynb’

2

Hey @Dalkhat, we are having issues with the graders. Please follow this post for updates: Course 4 Assignment Submission Issues

3

Hi @Mubsi

could you please update the last link you shared? It is giving now a not found page error.

Thanks

Rosa

4

Hey @arosacastillo , are you talking about this link ?

I have deleted this post, since the graders were fixed.

5

Ah, we had today another student reporting the same issue that is why I wanted to share the link with him.

6

Which issue are you talking about ? The missing submit button ?

7

Hi Mubsi,

Yes it was a student struggling with the grader and facing errors and no submit button. It seems though now that he contacted the Coursera Help Center and they managed to solve it somehow. All it is ok.
Just wanted to know which is the official way to proceed in case students face again any grader issues…

Best

Rosa