Hi ,

I just started working on Assignment 1 in week one of DLS4 course. Where we write the zero pading function. According to the function specs I need to return the X_pad as

```
Returns:
X_pad -- padded image of shape (m, n_H + 2 * pad, n_W + 2 * pad, n_C)
```

And this is exactly what I did. However the function is failing the result even tough I think it is with the correct size with respect to its import. Further more I think the shape that the test is expecting is strange. especially that it is expecting that I change the first dimension ( number of examples) and the last dimension ( channel size) which should not be the case. it looks like the shape is increased by (1,1,1,1)

below is the actual error :

```
X= , (4, 3, 3, 2)
2
X_pad, (4, 7, 7, 2)
---------------------------------------------------------------------------
AssertionError Traceback (most recent call last)
<ipython-input-3-a6f364884ebb> in <module>
12 axarr[1].set_title('x_pad')
13 axarr[1].imshow(x_pad[0, :, :, 0])
---> 14 zero_pad_test(zero_pad)
~/work/release/W1A1/public_tests.py in zero_pad_test(target)
27
28 assert type(x_pad) == np.ndarray, "Output must be a np array"
---> 29 assert x_pad.shape == (5, 4 + 2 * pad, 4 + 2 * pad, 3), f"Wrong shape: {x_pad.shape} != {(5, 4 + 2 * pad, 4 + 2 * pad, 3)}"
30 assert np.allclose(x_pad[0, 0:2,:, 0], [[0, 0, 0, 0, 0, 0, 0, 0],
31 [0, 0, 0, 0, 0, 0, 0, 0]], 1e-15), "Rows are not padded with zeros"
AssertionError: Wrong shape: (4, 7, 7, 2) != (5, 8, 8, 3)
```

Please help

thanks