Hello there,

I think I am joining the club of those participants who get this same error. I rechecked the solutions but none applied to me.

In the assignment, I have the following values:

**2nd Component**

Filter F2, kernel_size = f, strides = 1, padding = same

**3rd Component**

Filter F3, kernel_size = 1, strides = 1, padding = valid

**Shortcut Component**

Filter F3, kernel_size = 1, strides = s, padding = valid

**Initialization appended to all three lines above**

kernel_initializer = initializer(seed=0) for (X), which will use the **glorot_uniform** initializer as default.

I truly see no error in the code, but obviously, because the grader does not mark this as successful, there most be one. Could anybody give any pointers?

Thank you!

```
---------------------------------------------------------------------------
AssertionError Traceback (most recent call last)
<ipython-input-6-869d2d1d4c16> in <module>
12 assert type(A) == EagerTensor, "Use only tensorflow and keras functions"
13 assert tuple(tf.shape(A).numpy()) == (3, 2, 2, 6), "Wrong shape."
---> 14 assert np.allclose(A.numpy(), convolutional_block_output1), "Wrong values when training=False."
15 print(A[0])
16
AssertionError: Wrong values when training=False.
```