W3_A1_grader fails on some cells

Course Q&A Deep Learning Specialization Neural Networks and Deep Learning
1

On my deep learning homework, planar data classification, the grader says tests failed on cells but it doesn’t say which cells. When I look at the output it doesn’t say anything failed. In fact, it says all tests passed

2

Hey @phoenix-anna , which course are you talking about ?

3

Planar Data Classification is C1 W3 A1 (the assignment in Week 3 of Course 1).

1 Like
4

@phoenix-anna: Please show us the grader’s output that you are getting.

5

Hi. I’m having the same problem. The grader gave me 75/100. The output is

[ValidateApp | INFO] Validating ‘/home/jovyan/work/submitted/courseraLearner/W3A1/Planar_data_classification_with_one_hidden_layer.ipynb’
[ValidateApp | INFO] Executing notebook with kernel: python3
Tests failed on 2 cell(s)! These tests could be hidden. Please check your submission.

6

The grader checks for and penalizes, but doesn’t identify, hard-coded values where the value should come from a variable.

2 Likes
7

Thanks! Got 100/100 now.

1 Like
8

Hi I have the same problem too.

[ValidateApp | INFO] Validating ‘/home/jovyan/work/submitted/courseraLearner/W3A1/Planar_data_classification_with_one_hidden_layer.ipynb’
[ValidateApp | INFO] Executing notebook with kernel: python3
[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/W3A1/Planar_data_classification_with_one_hidden_layer.ipynb’

9

In tuning hidden layer size (optional/ungraded exercise), what is the hidden_layer_sizes in your notebook?