Hello,
I did some test with V-Ray GPU and watching the Event Log, I noticed that V-Ray can't access to all the - theoretically - VRAM available, 4Gb in this case.
So something is eating around 1GB of memory. I supposed it's ok since the OS need some VRAM to draw GUI etc. but 1,2 GB ? It's tough, mostly with only 4Gb of VRAM.
Is it something known ? Is there any workaround / solution ?
One last thing, I can't render this scene since it doesn't fit in the GPU. But I'm a little bit surprised since there is only 206.451 faces visible, 5 materials enabled and the textures are resized to 512x512 maps.
Is there something wrong or I shouldn't be surprised ?
Thank you
I did some test with V-Ray GPU and watching the Event Log, I noticed that V-Ray can't access to all the - theoretically - VRAM available, 4Gb in this case.
System -------- Time -------------------- Type -- Message -------------------------------------
Log System Thu Sep 29 23:53:20 2016 Info Initializing CUDA renderer (single kernel version)...
Log System Thu Sep 29 23:53:20 2016 Info Querying for CUDA devices...
Log System Thu Sep 29 23:53:20 2016 Warning Devices query yielded no results; using all available devices!
Log System Thu Sep 29 23:53:20 2016 Info Device GeForce GTX 980 has compute capability 5.2
Log System Thu Sep 29 23:53:21 2016 Info Setting CUDA stack size to 14000
Log System Thu Sep 29 23:53:21 2016 Info Building optimized CUDA kernel (0) for comp cap 5.2 for device 0...
Log System Thu Sep 29 23:53:21 2016 Info PTX file generated with CUDA Toolkit v7.5 for CUDA compute capability 2.0
Log System Thu Sep 29 23:53:21 2016 Info Optimized CUDA kernel assembled successfully
Log System Thu Sep 29 23:53:21 2016 Info Total memory for device 0 : 4096 MB, free 2807 MB
Log System Thu Sep 29 23:53:20 2016 Info Initializing CUDA renderer (single kernel version)...
Log System Thu Sep 29 23:53:20 2016 Info Querying for CUDA devices...
Log System Thu Sep 29 23:53:20 2016 Warning Devices query yielded no results; using all available devices!
Log System Thu Sep 29 23:53:20 2016 Info Device GeForce GTX 980 has compute capability 5.2
Log System Thu Sep 29 23:53:21 2016 Info Setting CUDA stack size to 14000
Log System Thu Sep 29 23:53:21 2016 Info Building optimized CUDA kernel (0) for comp cap 5.2 for device 0...
Log System Thu Sep 29 23:53:21 2016 Info PTX file generated with CUDA Toolkit v7.5 for CUDA compute capability 2.0
Log System Thu Sep 29 23:53:21 2016 Info Optimized CUDA kernel assembled successfully
Log System Thu Sep 29 23:53:21 2016 Info Total memory for device 0 : 4096 MB, free 2807 MB
Is it something known ? Is there any workaround / solution ?
One last thing, I can't render this scene since it doesn't fit in the GPU. But I'm a little bit surprised since there is only 206.451 faces visible, 5 materials enabled and the textures are resized to 512x512 maps.
Fri Sep 30 00:00:29 2016 Info Mtls 434.30MB, Geo 2079.76MB, Lights 0.04MB, LightCache 8.07MB, Other 243.83MB (data index 4707)
Fri Sep 30 00:00:29 2016 Info Building optimized CUDA kernel (0) for comp cap 5.2 for device 0...
Fri Sep 30 00:00:29 2016 Info PTX file generated with CUDA Toolkit v7.5 for CUDA compute capability 2.0
Fri Sep 30 00:00:30 2016 Info Optimized CUDA kernel assembled successfully
Fri Sep 30 00:00:30 2016 Info Total memory for device 0 : 4096 MB, free 60 MB
Fri Sep 30 00:00:30 2016 Failed ./src/ocl_tracedevice.cpp(3012) : CUDA error 2 : unable to allocate enough memory to perform the requested operation (out-of-mem)
Fri Sep 30 00:00:29 2016 Info Building optimized CUDA kernel (0) for comp cap 5.2 for device 0...
Fri Sep 30 00:00:29 2016 Info PTX file generated with CUDA Toolkit v7.5 for CUDA compute capability 2.0
Fri Sep 30 00:00:30 2016 Info Optimized CUDA kernel assembled successfully
Fri Sep 30 00:00:30 2016 Info Total memory for device 0 : 4096 MB, free 60 MB
Fri Sep 30 00:00:30 2016 Failed ./src/ocl_tracedevice.cpp(3012) : CUDA error 2 : unable to allocate enough memory to perform the requested operation (out-of-mem)
Thank you
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