Hi, I don’t pass the tests but I can’t see where my mistake is:
AssertionError Traceback (most recent call last)
in
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.
here’s my code:
{moderator edit - solution code removed}
I have the same mistake and cant figure out what I’m doing wrong. Hint: Make sure you know where to use X and X_shortcut
2 Likes
i’m getting same error …can you please explain what was the error?
1 Like
In the shortcut path, you need to input X_shortcut rather than X.
5 Likes
Solved this issue. The problem regarding x and x_shortcut
rkaras
8
I have the same code as above and still have the :
“AssertionError: Wrong values when training=False.”
error. On the shortcut path, I am using “X_shortcut”.
Not for sure what to try next. Please help!
rkaras
10
Yes, I finally figured it out. Thank you!
use X_shortcut instead of X at the end of the code
{moderator edit - solution code removed}