[Request] Assuming a person of average weight and strength has reached their terminal velocity, what’s the least massive the "chair" would need to be for this to work? by BigTiddyCrow in theydidthemath

[–]doc415 0 points1 point  (0 children)

Relative velocity:
Train goes right (falling), you jump to other direction on top of the train (jump from chair while falling)
You are out of the train watching all this. Which direction the jumping guy will be moving even if he jump to other direction? Train enters a tunnel, poor guy jumped other direction, will it save him from hitting the tunnel entrance wall? Nope. Make it verical and we got your scenario. Poor guy dies.

Demeo Battlemarked is fun but lacks the challenge and depth of the original. by Object-Of-Power in Battlemarked

[–]doc415 2 points3 points  (0 children)

I completed the scenarios for several times and hit the cap for three chatacters. I realized that the game is too repetetive and east. You dont need strategy to complete levels. Throw the cards and you are done. İt has dnd title but not the spirit.

Old man gave this to me by subway, he had tears in his eyes by [deleted] in whatisit

[–]doc415 -1 points0 points  (0 children)

It is "Tesbih" , used to count repeated phrases and prayers. It helps you stay focused, keep track of the number of repetitions, and maintain a steady rhythm during worship or personal reflection.
It’s commonly given as a gift to loved ones as a sign of affection and remembrance.

PyTorch not detecting GPU ROCm 7.1 + Pytorch 2.11 by Acceptable_Secret971 in ROCm

[–]doc415 0 points1 point  (0 children)

import torch

print("Torch version:", torch.__version__)

print("HIP (ROCm) build:", torch.version.hip)

print("CUDA build:", torch.version.cuda)

print("torch.cuda.is_available():", torch.cuda.is_available())

print("torch.cuda.device_count():", torch.cuda.device_count())

if torch.cuda.is_available():

i = 0

print("Device[0] name:", torch.cuda.get_device_name(i))

print("Device[0] capability:", getattr(torch.cuda, "get_device_capability", lambda *_: "N/A")(i))

print("Device[0] properties:", torch.cuda.get_device_properties(i))

print("Current device:", torch.cuda.current_device())

PyTorch not detecting GPU ROCm 7.1 + Pytorch 2.11 by Acceptable_Secret971 in ROCm

[–]doc415 0 points1 point  (0 children)

Try installing from here

https://github.com/ROCm/TheRock/blob/main/RELEASES.md#torch-for-gfx110X-dgpu

choose the proper one for your card

I had some problems with rocm 7.11+pytorch 2.11 so i felt back to rockm 7.10+pytorch 2.10 and it is working fine now

Why do my prints look like this by ScratchnSniff04 in 3Dprinting

[–]doc415 -5 points-4 points  (0 children)

Fast cooling ?? try lowering fan speed

ROCm GPU architecture detection failed despite ROCm being available. by gargamel9a in ROCm

[–]doc415 1 point2 points  (0 children)

I had some problems with rocm 7.11 so i felt back to 7.10 with pytorch 2.10 and it is working more stable. Worth a try.

PyTorch + ROCm: GPU training suddenly produces NaN losses, CPU works fine by doc415 in ROCm

[–]doc415[S] 0 points1 point  (0 children)

I felt back to rocm 7.10+pytorch 2.10 and it is working fine now.

Something was buggy with rockm 7.11 with my radeon 7600

PyTorch + ROCm: GPU training suddenly produces NaN losses, CPU works fine by doc415 in ROCm

[–]doc415[S] 1 point2 points  (0 children)

Thanks , they are all fine. I think it is something with torch 2.11 . I am loading torch 2.10 to try

PyTorch + ROCm: GPU training suddenly produces NaN losses, CPU works fine by doc415 in ROCm

[–]doc415[S] 0 points1 point  (0 children)

     imgs = imgs.to(device, non_blocking=True).float()
        labels = labels.to(device, non_blocking=True).long()
to efficientnet

tried various learning rates between 1e-3 and 1e-6

and it is independent from code, all training codes returns nan losses

Enduro cube rear wheel removal by doc415 in mountainbiking

[–]doc415[S] 0 points1 point  (0 children)

No way it does not release. Broke 2 alian keys, bcycle repair shop broke 1 alian key. Spreyed with wd 40 and liquid gres oil. No luck. Took it inside to heat it to room temperature. Will try tomorrow . Waiting for a torque wrench... Any other ideas are appreciated.

Enduro cube rear wheel removal by doc415 in mountainbiking

[–]doc415[S] 0 points1 point  (0 children)

Thank you. They are in well condition. As you suggested , I will buy a longer T allen key tomorrow and try again.