notebook 3, max pooling testing

notebook 3, max pooling testing

от Oleksandr Tarasov -
Количество ответов: 3

Hi guys,

I am referring to the cell with unit tests exactly after the MaxPooling implementation. First of all I have found no unittest import in the notebook before the cell is run, so the first run I got an import error. Second, the "setUp" method in the unittest tries to create and append an instance of the class Flatten:

class TestMaxPooling(unittest.TestCase):
def setUp(self):
...
self.layers = list()
self.layers.append(None)
self.layers.append(Flatten())
self.layers.append(None)
self.layers.append(SoftMax())
...

But there is no Flatten class in this notebook, did you mean our custom class "FlattenLayer" or any other class?

Could you please check and fix it?

В ответ на Oleksandr Tarasov

Re: notebook 3, max pooling testing

от George Ciubotariu -

1. import unittest should solve your error.
2. You got it right, it's the FlattenLayer. You have to implement it first.

В ответ на George Ciubotariu

Re: notebook 3, max pooling testing

от Oleksandr Tarasov -
Ok, I have added import and changed a class name, here we have one more lost classes. Same unit test class I reffered to:
 
def test_gradient_stride(self):
self.layers[0] = self.MaxPooling(neighborhood=(2, 2), stride=(2, 2))
self.layers[2] = self.FullyConnected(12, self.categories, 0.)

difference = gradient_check(self.layers, self.input_tensor, self.label_tensor)

self.assertLessEqual(np.sum(difference), 1e-6)

def test_gradient_overlapping_stride(self):
self.layers[0] = self.MaxPooling(neighborhood=(2, 2), stride=(2, 1))
self.layers[2] = self.FullyConnected(24, self.categories, 0.)

difference = gradient_check(self.layers, self.input_tensor, self.label_tensor)

self.assertLessEqual(np.sum(difference), 1e-6)

def test_gradient_subsampling_stride(self):

self.layers[0] = self.MaxPooling(neighborhood=(2, 2), stride=(3, 2))
self.layers[2] = self.FullyConnected(6, self.categories, 0.)
 
As you can see multiple functions try to create instances of MaxPooling class and FullyConnected layers. The MaxPooling class is defined in the next cell:

# TODO: run as homework!
test = TestMaxPooling()
test.MaxPooling = MaxPoolLayer
 
But at the same time, there is no FullyConnected layer in the notebook and no assignment of it to the test case class. So while running a test case we got an error:

Cell In[67], line 42
40 def test_gradient_stride(self):
41 self.layers[0] = self.MaxPooling(neighborhood=(2, 2), stride=(2, 2))
---> 42 self.layers[2] = self.FullyConnected(12, self.categories, 0.)
44 difference = gradient_check(self.layers, self.input_tensor, self.label_tensor)
46 self.assertLessEqual(np.sum(difference), 1e-6) AttributeError: 'TestMaxPooling' object has no attribute 'FullyConnected'
So, it looks like there should be a line like:
 
test.FullyConnected = FullyConnected
 
I can assume that it is just a normal dense layer which we also have done in the 1st notebook, but anyway could you please check it and fix it.