I just jumped to Mac OS X El Capitan and I'm experiencing problems with WebGL since I updated only on my iMac (my Mac mini work absolutely well).
My iMac is a 27" with:
a Intel Core i7 3,4GHz
8Go 1333MHz DDR3
AMD Radeon HD 6970M 2048Mo
For exemple, this site don't work on my iMac but work on every others... So I think the problem come up with my iMac conf... ?
I don't see any error in console
Don't work on Chrome, Safari and Firefox...
EDIT: Another issue, meshes with too many vertices/faces fail to compile/render
Again, work well on all Macs except my iMac. The mesh contains 75200 vertices and 144058 faces.
Related
I've been using genymotion for android react-native development but the emulator is so mind numbingly slow compared to the xcode ios emulator.
mbp specs
2.5ghz i7
16gb ram
intel iris plus 640
500gb ssd
genymotion specs
genymotion 3.0.0
google pixel emulator
processors 4
memory size 4096
virtual box 5.2.22
I had virtual box 6.x before but found a stack thread suggesting downgrading to the recommended version but it didn't fix anything.
The emulator works fine and boots relatively quick - all the animations however are very laggy and make it a pain to use
Looking for any recommendations, thanks
edit: I've tried reducing processors to 2 as virtual box was attempting to use 4 (default) but I have a dual core laptop, performance increased slightly - but still far off from the ios emulator
Have you tried using an older version of Android? I heard reports of users finding the latest versions (especially Android 9.0) to be slow on macOS. This should be fixed in Genymotion Desktop 3.1.0.
I am trying to install tensorflow-gpu on my macbook pro and have tried pretty much everything which I will briefly mention. But first here is my setup
Macbook pro retina 15"
High Sierra 10.13.4
NVIDIA GT650M card
Over the past two weeks I have tried all sorts of combinations and fed up with drivers/versions especially with High Sierra 10.13.4 and variables and so on.
If anybody has had success with this please could they tell me or point me to the versions and method for
CUDA
CUDNN
Tensorflow-gpu (understand 1.1 is the highest for mac)
XCode (I have 9.2)
and anything else.
I have my anaconda environment working well for all of the machine learning stuff on CPU and consider using the GPU to be the next challenge.
Here's a link that may help.
I have installed using the same guidelines and it's working for me on macbook pro with same configuration.
I was able to compile tensorflow 1.4.0 with GPU support for my MacBook Pro (Retina, 15-inch, Late 2013) with GT 750M card under MacOS 10.12.6 with instructions from the following link:
http://paolino.me/tutorial/tensorflow/machine-learning/deep-learning/gpu/2017/11/18/installing-tensorflow-1.4.0-macos-cuda/
I bought a new mac book pro.
System features:
2.0GHz dual-core Intel Core i5 processor, Turbo Boost up to 3.1GHz
8GB 1866MHz memory
256GB PCIe-based SSD
Intel Iris Graphics 540
Two Thunderbolt 3 ports
MacOs Sierra 10.12.1
You can see the details from here
My problem is, I installed xcode 8.2.1 and tested it. It's really fast, but there's slowdown in the simulator. Deceleration is not in page transitions, but in scrolling actions.I've tried both the iOS 9.0 and the iOS 10.2 simulator, but the situation is the same.
I have found a solution that I have researched. "Close the debug-slow animations option in the simulator" but this is not the case.
I do not know if the issue is related to xcode or sierra, but I do not think it's about hardware. I tried it for Android emulator, but it worked very fast. I do not know if there is a connection, but I think that if the hardware is inadequate, it should work slowly in the android emulator.
Do you have an idea on this?
I'm trying to use Kinect2 for a project. But it has a problem that the device is recognised on Hi-Speed Bus not on the SuperSpeed Bus. I suspect that due to this problem, the kinect programm is not able to be opened. The laptop is a Early 2015 Macbook Pro, OS X: Yosemite.
Has anyone come across similar issue?
The libfreenect2 FAQ says if that happens, you should:
try unplugging the Kinect from power source with the USB cable connected, and plug the power again, then verify.
It seems like a combination of Macbook Pro and Yosemite.
The problem was fixed simply by upgrading to El Capitan. The same issue happened on 2 different Macbook pro with Yosemite.
But it worked perfectly on a IMac with Yosemite.
On OS X Snow Leopard (10.6.8), OpenCL image support is not available on my Mac Pro with Radeon 5770 graphics card. Indeed this is believed to be common to all AMD/ATI Radeon cards under Snow Leopard and earlier. Specifically:
clGetDeviceInfo(cdDevices[uiDeviceUsed], CL_DEVICE_IMAGE_SUPPORT, sizeof(g_bImageSupport), &g_bImageSupport, NULL);
results in g_bImageSupport being false.
I want to know if anyone who has the final release 10.7 (Lion) and a Radeon 5770 graphics card in a Mac Pro, can check to see if CL_DEVICE_IMAGE_SUPPORT now returns true for this hardware?
An easy test is to download the Apple sample code for the raytraced Quarternion Julia-Set:
http://developer.apple.com/library/mac/#samplecode/OpenCL_RayTraced_Quaternion_Julia-Set_Example/Introduction/Intro.html
and build it and run it. The output on my system is sadly:
Connecting to AMD ATI Radeon HD 5770...
Qjulia requires images: Images not supported on this device.
Hope to hear that this now works in Lion ...
David.
I'm running Lion 10.7.1 with a Radeon 5770 and the given example works great (yay!), running around 150fps. So... yay!
For me it works fine with ATI Radeon 5870. Initial figure running around 290fps. The example requires 10.7 to run.
As per my comment, I'm running 10.7 with a Radeon 5870. The sample app can connect to the card and renders the "thing" fine.