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Bladerskb

Senior Software Engineer
Oct 24, 2016
2,072
2,316
Michigan
Again, you’re stating as fact a whole lot of not-publicly-visible(and otherwise unreported) information about Tesla’s FSD development codebase. So do you have a source for this?

I'm only logically comparing and contrasting. If chip A runs all the NN models necessary for LVL 5 perception including way more NN models than chip B using 75% less processing power. Then Chip b should theoretically be able to handle the amount of NN models that chip A does even if it came with some overhead (even with the difference in efficiency and accelerators). The only other contingency would be planning, but again like i said i don't believe Tesla software are as advanced as some people believe they are.
 
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MarcusMaximus

Active Member
Jan 2, 2017
3,789
16,514
Los Gatos
I'm only logically comparing and contrasting. If chip A runs all the NN models necessary for LVL 5 perception including way more NN models than chip B using 75% less processing power. Then Chip b should theoretically be able to handle the amount of NN models that chip A does even if it came with some overhead. The only other contingency would be planning, but again like i said i don't believe Tesla software are as advanced as some people believe they are.

Not if chip B is memory constrained. The whole network has to fit in memory. And while it may be able to run, it may not be able to run in real time to meet the requirements of driving.
 

verygreen

Curious member
Jan 16, 2017
2,900
11,263
TN
Can you PM me?
just to be clear. everything you need to know about this process was posted further upthread. I do not distribute Tesla binary firmwares for legal reasons, so you need to find some other source than me. There was one and I listed it, now that it's closed, I do not know of any other public sources I could direct people to. If anybody knows better, perhaps they'll update here in the thread with more sources.
 

Bladerskb

Senior Software Engineer
Oct 24, 2016
2,072
2,316
Michigan
Not if chip B is memory constrained. The whole network has to fit in memory. And while it may be able to run, it may not be able to run in real time to meet the requirements of driving.

DrivePX2
8 GB LPDDR4 (50+ GB/s)

Xavier
16 GB 256-bit LPDDR4 137 GB/s

Pegasus
16GB HBM2 RAM 1TB/s

I don't have datasheet for eyeq4.

I know elon mentioned memory but you can't just take him at his word. The biggest problem with DL GPU chips was when you had multiple chips trying to access memory which was problematic with a bus bandwidth speed of 50 GB/s which nvidia fixed by utilizing nv link 2 (1TB/s).

But again its not a reason why Tesla's current software CAN'T run on ap2.0.
 

bmah

Moderator, Model S/X, California Forums
Mar 17, 2015
3,837
6,795
Lafayette, CA, USA
Moderator note: It looks like 2018.39.5 qualifies as the first 9.0 release, and someone already created a thread for it, so I've moved 50-some-odd posts about 2018.39.5 to that thread:

Software Update 2018.39.5 a1c2332 (first 9.0 release)

Posts relevent to this particular release should go to that thread, as with most firmware threads.

I might break out some other topics to their own threads later. Please note that manually splitting threads like this is an imperfect process, and I apologize in advance for any confusion created.

Bruce.
 
Oct 12, 2016
1,079
953
MD
What % of total drain is the onboard processing power responsible for and is this likely to go up with the need to process the extra cameras that are activated in this release?
 
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conman

Active Member
Aug 19, 2017
1,436
2,131
Melbourne, Australia
What % of total drain is the onboard processing power responsible for and is this likely to go up with the need to process the extra cameras that are activated in this release?
The total power consumption of all the onboard processing amounts to a piddly amount and would be insignificantly different from it even being idle.
 

mburnet6

Member
Apr 7, 2018
63
46
Atlanta
That was fast. It seems to imply they are monitoring this thread.

Wish they had the gonads to comment now and then.

Remember those NDAs that were mentioned for Early Access/Adopters, whatever you want to call it... the R&D team at Tesla likely has even much more restrictive and easily enforcable NDAs. So please don’t question their gonads as I’m sure they have massive gonads to take on this incredibly difficult problem as their day job when they could easily go work at Google, Apple, or any other tech firm in Silicon Valley working on AI and/or computer vision and not have the weight of Tesla’s mission and Elon’s twitter habit on their shoulders.

If they are reading this... hats off to you guys on what you’ve accomplished to date.
 

bigdaddie

Member
Jan 3, 2017
97
107
Chowchilla, CA
just to be clear. everything you need to know about this process was posted further upthread. I do not distribute Tesla binary firmwares for legal reasons, so you need to find some other source than me. There was one and I listed it, now that it's closed, I do not know of any other public sources I could direct people to. If anybody knows better, perhaps they'll update here in the thread with more sources.
I totally understand. Thanks for the reply.
 

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