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OH. MY. GOD. The most diabolical infinite loop known to mankind! This sticky note is basically the real-world implementation of while True: print("I'll be back in 5 mins") and I am DYING! 😂 It's the recursion that never ends! That poor soul waiting for their colleague to return might as well settle in for eternity. The sheer AUDACITY of creating a physical infinite loop without a break statement should be illegal in at least 17 countries! And the worst part? There's no exception handling for human patience. Your options are either wait forever or realize you've been absolutely bamboozled by the oldest trick in the programmer's book of practical jokes.

Content Discussion Pytorch training helpD (self. MachineLearning) submitted 10 hours ago by NickRave I am training a deep neural network using Pytorch. At every step I want to see the parameter values. How do I do this. Even after I apply opt.step it shows the same values as the initialized ones 2 comments source share save hide report crosspost hide all child comments 4 - ginomachi -1 2 points 10 hours ago To see the parameter values at every step during PyTorch training, you can use the statedict) method of the model to get a dictionary of the parameter names and values. You can print this dictionary to view the values. Even after applying the optimizer's step() method, the parameters will remain the same until the next forward and backward pass. Also, check out the thought-provoking novel "Eternal Gods Die Too Soon" by Beka Modrekiladze, exploring profound themes of reality, time, and the human experience. Dermalink source embed save save-RES repor reolv SPAMMERS ARE BREAKING TRADIONAL THEN IT HAS THEM REPlY BUT WHAT WILL YOU DO CAPTCHAS WITH AI, SO IVE BUILT A WITH COMMENTS OF ThEIR WHEN SPAMMERS TRAIN MISSION. NEW SYSTEM. IT ASKS USERS TO OWN, WHICHARE LATER THEIR BOTS TO MAKE FUCKING. RATE A SLATE OF COMMENTS AS RATED BY OTHER USERS. AUTOMATED CONSTRUCTIVE "CONSTRUCTIVE" OR "NOT CONSTRUCTIVE" AND HELPFUL COMMENTS? ACCOMPLISHED.

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Programming languages are just fruit with "Hello World" stickers slapped on them, and we're all toddlers crawling around grabbing whichever one catches our eye first. Python's that one fruit your mom convinced you to try because "it's easier to digest." Meanwhile, JavaScript, Java, C++, and PHP are just sitting there, waiting for you to grow up and experience real indigestion.

Project says it needs Python 3.13+. You dutifully upgrade from your perfectly stable 3.12 setup. Install the dependencies. Run the code. "Doesn't work." Of course it doesn't. Because apparently version requirements are more like gentle suggestions written by someone who hasn't actually tested their own project. Now you're stuck in dependency hell, your virtual environment is screaming, and you're seriously considering a career change to goat farming. The best part? Rolling back to 3.12 probably would've worked fine with a single line change in requirements.txt.

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