Hello All, I just finished the courses. However, having finished, I have lost access to material. I downloaded the exercises earlier. But running into issues when I try to run C5_W4_A1_Transformer_Subclass_v1.ipynb locally on my Mac now. These seem to be related to version of the packages instal…

[image] DeBits: !{sys.executable} -m pip list Here’s what I see when I run that in C5 W4 A1: Package Version ----------------------- ------------------- absl-py 0.15.0 alembic 1.4.2 astor 0.8.1 astunparse 1.6.3 as…

Hope no execution exceptions when you run! That was fast. I spent almost a week trying to debug. Thanks so much, appreciate it!

It may be a bit of a hassle to use the info in that form. I also did this: !pip freeze > requirements-pip_freeze.txt And the resulting file is attached (note that I had to add the fake “dot py” extension in order to get it to upload). requirements-pip_freeze.txt.py (3.0 KB)

[image] paulinpaloalto: Package Version ----------------------- ------------------- absl-py 0.15.0 alembic 1.4.2 astor 0.8.1 astunparse 1.6.3 async-generator 1.10 attrs 19.3.0 backcall …

Actually now that I see the contents of the file, it is indeed a better format for fixing my env! Thanks!

In case you prefer to use conda instead of pip, since conda will let you maintain multiple environments in parallel, here is the result of the other command shown on that thread that I linked above: !conda list --export > requirements-conda_list.txt That yields this file (renamed with the same fak…

Just a few more general things to say here: Yes, the assignments use old versions of things. Most of the assignments here were last updated in a major way in April 2021, when they did the conversion from TF 1.x (no eager execution) to TF 2.x. So each assignment uses whatever versions were current a…

Just realized this. I have not yet gotten it to work as it did when I submitted, all tests passing. Currently I have it ‘working’ in the latest env. The system goes through the ‘complete motions’, i.e., without syntactic errors but outputs ‘fail’, the numerical comparisons yield failure. Not sure i…

Week 4 Transformer Network: package versions

Course Q&A Deep Learning Specialization Sequence Models

paulinpaloalto August 10, 2024, 8:59pm 7

Here’s a thread which covers a lot of those and related questions.

Topic		Replies	Views
Program Assignments in Local Environments Convolutional Neural Networks coursera-platform	21	1071	January 3, 2023
Help me with W1A3, There is something wrong with the given code! Sequence Models coursera-platform	5	805	July 4, 2022
#c5w1a3 packages versions Sequence Models week-module-1 , coursera-platform	3	72	August 16, 2024
Unable to import transformers using my jupyter notebook Sequence Models week-module-4 , coursera-platform	2	134	October 11, 2024
C4W2A1 Res Net not working locally - public_tests.py mismatch Convolutional Neural Networks week-module-2 , coursera-platform	18	431	May 9, 2024

Week 4 Transformer Network: package versions

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