# C5W4 EncoderTest Error **URL:** \ **Category:** Sequence Models\ **Tags:** coursera-platform\ **Created:** [July 1, 2022, 7:46pm UTC](https://community.deeplearning.ai/t/c5w4-encodertest-error/152176 "2022-07-01T19:46:50Z")\ **Posts on this page:** 2\ **Page:** 1
**Author:** ![Carlos\_Poles](https://avatars.discourse-cdn.com/v4/letter/c/c57346/32.png) [@Carlos\_Poles](https://community.deeplearning.ai/u/Carlos_Poles)\ **Post date:** [July 1, 2022, 7:46pm UTC](https://community.deeplearning.ai/t/c5w4-encodertest-error/152176/1 "2022-07-01T19:46:50Z")
Hi guys I’ve been getting the following error: * * * AssertionError Traceback (most recent call last) in 1 # UNIT TEST ----\> 2 Encoder\_test(Encoder) ~/work/W4A1/public\_tests.py in Encoder\_test(target) 142 [[-0.01885331, 0.8866553 , -1.624897 , 0.75709504], 143 [0.4165045 , 0.27912217, -1.6719477 , 0.97632086], → 144 [0.71298015, -0.7565592 , -1.1861688 , 1.2297478]]]), “Wrong values case 3” 145 146 print(“\033[92mAll tests passed”) AssertionError: Wrong values case 3 I can’t figure out what is wrong. I think it may have something to do with the embedding scaling as mentioned in another post. Someone was using seq\_len instead of the embedding dimension, but I did not make that mistake. Tried different ways to make the same computation but it has not worked. I have used tf.cast and tf.math.sqrt for the embedding scaling tf.math.sqrt(tf.cast(\*\*\*\*\*\*, dtype=tf.float32)) Any thoughts on what might be happening? I’ve been getting the same error with the Decoder. That’s all I need to finish the Specialization! Thanks in advance. ---
**Author:** ![Carlos\_Poles](https://avatars.discourse-cdn.com/v4/letter/c/c57346/32.png) [@Carlos\_Poles](https://community.deeplearning.ai/u/Carlos_Poles)\ **Post date:** [July 1, 2022, 10:06pm UTC](https://community.deeplearning.ai/t/c5w4-encodertest-error/152176/2 "2022-07-01T22:06:44Z")
I figured out what the error was. I had hard coded the training argument in the dropout layer function call. I will leave the post in case someone gets the same error.