Hmm, this seems to lock up & crash my whole browser (Chrome 59, windows, nvidia graphics) when I try to run any of the examples. It gets past Downloading Network, then gets about 5% through Compiling before getting stuck.
Crashed my Firefox as well
Show HN: TensorFire
81–90 of 91 posts
Re: Show HN: TensorFire
#82Hmm, this seems to lock up & crash my whole browser (Chrome 59, windows, nvidia graphics) when I try to run any of the examples. It gets past Downloading Network, then gets about 5% through Compiling before getting stuck.
Re: Show HN: TensorFire
#83I've played around with doing some computation in WebGL, but it was rather tedious and difficult with my limited knowledge about the topic. It's possible, but you can't even rely on floating point texture to be available on all systems, especially mobile. And for anything more complicated, you probably need to be able to render to floating point textures, which is even more rare than support for plain floating point…
Re: Show HN: TensorFire
#84Earlier quoted context omitted.
> old iMac I object that qualifier, if you don't mind :)
It's not old for a computer, but it _is_ old for an Apple product (which is very unfortunate).
Same with iPhones, usually stop using because lithium batteries have a 4/5 years life span.
Re: Show HN: TensorFire
#85Hey HN! We're really excited to finally share this with you all! This is the first of a series of demos that we're working to release this week, and we're hoping you'll keep us to that promise :) Sorry if it doesn't work on your computer! There's still a few glitches and browser compatibility problems that we need to iron out, and we're collecting some telemetry data with LogRocket ( https://logrocket.com/ ) to help…
Re: Show HN: TensorFire
#86Earlier quoted context omitted.
It's not old for a computer, but it _is_ old for an Apple product (which is very unfortunate).
How so? In my experience Apple products outlast their competitor by a long margin. All my Macs have lasted about 6/7 years, meaning, being used everyday with latest software for paid work. Most still boot and work today, but are impractical. Same with iPhones, usually stop using because lithium batteries have a 4/5 years life span.
Re: Show HN: TensorFire
#87Re: Show HN: TensorFire
#88Hey HN! We're really excited to finally share this with you all! This is the first of a series of demos that we're working to release this week, and we're hoping you'll keep us to that promise :) Sorry if it doesn't work on your computer! There's still a few glitches and browser compatibility problems that we need to iron out, and we're collecting some telemetry data with LogRocket ( https://logrocket.com/ ) to help…
Re: Show HN: TensorFire
#89Earlier quoted context omitted.
How so? In my experience Apple products outlast their competitor by a long margin. All my Macs have lasted about 6/7 years, meaning, being used everyday with latest software for paid work. Most still boot and work today, but are impractical. Same with iPhones, usually stop using because lithium batteries have a 4/5 years life span.
For a 2011 product I guess we're arriving in the 6/7 year zone :)
Re: Show HN: TensorFire
#90Whenever I click on an image in the lower left corner it compiles the kittens. This shouldn't be like this, right? The NN is supposed to take example I'm choosing. (?) And, as everyone else mentioned already: f *ing wow!