[ValidateApp | ERROR] nbgrader encountered a fatal error while trying to validate ‘submitted/courseraLearner/W3A2/Image_segmentation_Unet_v1.ipynb’

[ValidateApp | INFO] Validating ‘/home/jovyan/work/submitted/courseraLearner/W3A2/Image_segmentation_Unet_v1.ipynb’
[ValidateApp | INFO] Executing notebook with kernel: python3
2021-05-04 13:30:32.078538: 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
2021-05-04 13:30:32.078571: 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.
2021-05-04 13:30:33.712579: 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
2021-05-04 13:30:33.712619: W tensorflow/stream_executor/cuda/cuda_driver.cc:312] failed call to cuInit: UNKNOWN ERROR (303)
2021-05-04 13:30:33.712645: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (ip-10-3-0-124.ec2.internal): /proc/driver/nvidia/version does not exist
2021-05-04 13:30:33.712890: 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.
2021-05-04 13:30:33.737580: I tensorflow/core/platform/profile_utils/cpu_utils.cc:104] CPU Frequency: 2999995000 Hz
2021-05-04 13:30:33.739172: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x555aed235910 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2021-05-04 13:30:33.739207: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version
2021-05-04 13:31:13.086778: I tensorflow/core/kernels/data/shuffle_dataset_op.cc:172] Filling up shuffle buffer (this may take a while): 202 of 500
2021-05-04 13:31:23.084750: I tensorflow/core/kernels/data/shuffle_dataset_op.cc:172] Filling up shuffle buffer (this may take a while): 407 of 500
2021-05-04 13:31:28.113996: I tensorflow/core/kernels/data/shuffle_dataset_op.cc:221] Shuffle buffer filled.
[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/W3A2/Image_segmentation_Unet_v1.ipynb’
This is the error from grader feedback so i am getting0/100 scores please try to help to get grades
Thanks in Advance

Hey @shivraj , there’s a time out set on this code blocks, and if it takes longer than that for it to run they throw an error. Right now the only solution is, that if you are confident your solution is correct and you are passing all the tests then keep on submitting until you pass. I apologise for this inconvenience, I know this is not ideal. But we are working on this.

@Mubsi
Not a great advice I’m afraid. I have been unsuccessful in submitting it multiple times.

Hey @nicovlca , the autograder for this assignment has been updated. You should be able to have a smooth submission experience now. Kindly check and tell. Thanks.

@Mubsi
Unfortunately, The grader is still showing the same error.

Hey @nicovlca I just submitted it again and it was fine. Let me DM you regarding it.