Final Programming Assessment in Sequence Models - Grade Discrepancy Issue


I hope this message finds you well. I am writing to bring to your attention an issue regarding the grading of my final programming assessment in the Sequence Models course at DeepLearning.AI.

According to my records, I successfully passed all the tests of the final programming assessment. I rigorously ran all the codes using my programming skills, and the results indicated that I passed each test without any errors. However, upon submitting the assignment, I noticed a discrepancy in the grades I received. Some grades were marked as passed, while others were marked as failed.

Given that all the tests were passed when I ran them locally, I believe there might be a mistake or an oversight in the grading process. I kindly request your assistance in resolving this issue and ensuring that my grades accurately reflect my performance in the assessment.

I understand that grading can sometimes be a complex process, and errors can occur. I am more than willing to provide any additional information or clarification that may be required to rectify this situation promptly. It is important to me to have an accurate evaluation of my work and efforts in the course.

I appreciate your attention to this matter and I kindly request that you look into the grading discrepancy as soon as possible. I look forward to your prompt response and a resolution to this issue.

Thank you for your understanding and assistance.

Juan Ricardo

Hello Juan!

Passing all the tests doesn’t guarantee passing the grader as well. Maybe you “hard-coded” that match the inputs in the unit test or you are referencing global variables in the notebook context from the local scope of your functions.

First, double-check your scaled_dot_product_attention code as this is the first one to fail. We will check the rest after this one.