search

jeffheaton / t81_558_deep_learning

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
https://sites.wustl.edu/jeffheaton/t81-558/
Other
5.71k stars 3.04k forks source link

14.1 code errors #117

Closed Hiertjy closed 2 years ago

Hiertjy commented 3 years ago

Thanks for the great tutorials. I get unexpected errors with the code in "Part 14.1: What is AutoML", particularly if I try the regression example. Is there a simple fix?

jeffheaton commented 3 years ago

What error?

Hiertjy commented 3 years ago

My apologies, rookie error.

I was not in the right environment.

Thanks for the prompt reply though.

From: Jeff Heaton @.> Sent: September 9, 2021 8:10 PM To: jeffheaton/t81_558_deep_learning @.> Cc: Hiertjy @.>; Author @.> Subject: Re: [jeffheaton/t81_558_deep_learning] 14.1 code errors (#117)

What error?

— You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub https://github.com/jeffheaton/t81_558_deep_learning/issues/117#issuecomment-916575790 , or unsubscribe https://github.com/notifications/unsubscribe-auth/AVR4BMTLIRAS3UCJGP7F5YLUBFSGHANCNFSM5DYA3J5A . Triage notifications on the go with GitHub Mobile for iOS https://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675 or Android https://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub .

Chosseppe commented 3 years ago

Hello. I am dealing with this error messages and do not know how to deal with it

[I 09:41:59.245 NotebookApp] Replaying 3 buffered messages 2021-09-23 09:42:42.640198: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) 2021-09-23 09:42:42.642025: W tensorflow/core/platform/profile_utils/cpu_utils.cc:126] Failed to get CPU frequency: 0 Hz 2021-09-23 09:42:42.646548: F tensorflow/core/grappler/costs/op_level_cost_estimator.cc:710] Check failed: 0 < gflops (0 vs. 0)type: "CPU" model: "0" num_cores: 8 environment { key: "cpu_instruction_set" value: "ARM NEON" } environment { key: "eigen" value: "3.3.90" } l1_cache_size: 16384 l2_cache_size: 524288 l3_cache_size: 524288 memory_size: 268435456

jeffheaton commented 3 years ago

I ran it myself, did get a few errors. Stuff I introduced during reformatting, but got it to run through. I checked in the changes.

Chosseppe commented 3 years ago

I found my “bug” between chair and keyboard. 😀 I skipped 4 rows of code

I ran it myself, did get a few errors. Stuff I introduced during reformatting, but got it to run through. I checked in the changes.

I am going to try it again but it felt down with message kernel has died

jeffheaton commented 2 years ago

Kernel die is usually an install issue or a GPU resource issue. There is not too much I can do for that, unless I can reproduce it on my side.