Tensorflow not detecting GTX 1080 Ti
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Watts
Mar 18, 2017, 4:55:53 PM3/18/17
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HI,
I just got a GTX 1080 Ti for deep learning. I have installed it on a Ubuntu 14.04 machine along with Tensorflow 1.0.1 and Python 2.7. I cant get tensorflow to detect the card.
nvidia-smi detects it as a "Graphics Device"
Any pointers are much appreciated.
Here's the output of nvidia-smi
Sun Mar 19 02:16:01 2017
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 378.13 Driver Version: 378.13 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 Graphics Device Off | 0000:03:00.0 On | N/A |
| 28% 47C P8 12W / 250W | 324MiB / 11169MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 1351 G /usr/lib/xorg/Xorg 183MiB |
| 0 2378 G compiz 44MiB |
| 0 2587 G ...s-passed-by-fd --v8-snapshot-passed-by-fd 94MiB |
+-----------------------------------------------------------------------------+
And output of lspci | grep -i nvidia
watts@Magnus:~/NVIDIA_CUDA-8.0_Samples/1_Utilities/deviceQuery$ lspci | grep -i nvidia
03:00.0 VGA compatible controller: NVIDIA Corporation GP102 [GeForce GTX 1080 Ti] (rev a1)
Pablo de Azevedo
Mar 18, 2017, 5:01:12 PM3/18/17
to Watts, Discuss
Check your gpu drive version.
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Watts
Mar 18, 2017, 5:16:07 PM3/18/17
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I have installed CUDA 8.0 with cuDNN 5.1 The display driver version is 378.13 (which is the latest at the time of writing)
deviceQuery works correctly.
Where am I going wrong?
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Isaac Gerg
Mar 18, 2017, 5:38:40 PM3/18/17
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nvidia-smi can dump out much more than what you've written. Do you have CUDA compute enabled for the device?
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Watts
Mar 18, 2017, 6:05:40 PM3/18/17
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How do I enable CUDA compute for the device?
Dump of nvidia-smi -q is below
nvidia-smi --gom=1 gives the following. Perhaps because gom is set to 0 (all enabled)
watts@Magnus:~/Downloads$ sudo nvidia-smi --gom=1
GOM mode cannot be changed on GPU 0000:03:00.0.
Treating as warning and moving on.
All done.
watts@Magnus:$ nvidia-smi -q
==============NVSMI LOG==============
Timestamp : Sun Mar 19 03:17:05 2017
Driver Version : 378.13
Attached GPUs : 1
GPU 0000:03:00.0
Product Name : Graphics Device
Product Brand : GeForce
Display Mode : Enabled
Display Active : Enabled
Persistence Mode : Disabled
Accounting Mode : Disabled
Accounting Mode Buffer Size : 1920
Driver Model
Current : N/A
Pending : N/A
Serial Number : 0320817035626
GPU UUID : GPU-cdb04047-0685-d250-09e6-cd7324a9a7ac
Minor Number : 0
VBIOS Version : 86.02.39.00.01
MultiGPU Board : No
Board ID : 0x300
GPU Part Number : 900-1G611-0050-000
Inforom Version
Image Version : G001.0000.01.04
OEM Object : 1.1
ECC Object : N/A
Power Management Object : N/A
GPU Operation Mode
Current : N/A
Pending : N/A
GPU Virtualization Mode
Virtualization mode : None
PCI
Bus : 0x03
Device : 0x00
Domain : 0x0000
Device Id : 0x1B0610DE
Bus Id : 0000:03:00.0
Sub System Id : 0x85E21043
GPU Link Info
PCIe Generation
Max : 3
Current : 1
Link Width
Max : 16x
Current : 16x
Bridge Chip
Type : N/A
Firmware : N/A
Replays since reset : 0
Tx Throughput : 0 KB/s
Rx Throughput : 4000 KB/s
Fan Speed : 28 %
Performance State : P8
Clocks Throttle Reasons
Idle : Active
Applications Clocks Setting : Not Active
SW Power Cap : Not Active
HW Slowdown : Not Active
Sync Boost : Not Active
Unknown : Not Active
FB Memory Usage
Total : 11169 MiB
Used : 327 MiB
Free : 10842 MiB
BAR1 Memory Usage
Total : 256 MiB
Used : 8 MiB
Free : 248 MiB
Compute Mode : Default
Utilization
Gpu : 0 %
Memory : 2 %
Encoder : 0 %
Decoder : 0 %
Ecc Mode
Current : N/A
Pending : N/A
ECC Errors
Volatile
Single Bit
Device Memory : N/A
Register File : N/A
L1 Cache : N/A
L2 Cache : N/A
Texture Memory : N/A
Texture Shared : N/A
Total : N/A
Double Bit
Device Memory : N/A
Register File : N/A
L1 Cache : N/A
L2 Cache : N/A
Texture Memory : N/A
Texture Shared : N/A
Total : N/A
Aggregate
Single Bit
Device Memory : N/A
Register File : N/A
L1 Cache : N/A
L2 Cache : N/A
Texture Memory : N/A
Texture Shared : N/A
Total : N/A
Double Bit
Device Memory : N/A
Register File : N/A
L1 Cache : N/A
L2 Cache : N/A
Texture Memory : N/A
Texture Shared : N/A
Total : N/A
Retired Pages
Single Bit ECC : N/A
Double Bit ECC : N/A
Pending : N/A
Temperature
GPU Current Temp : 46 C
GPU Shutdown Temp : 96 C
GPU Slowdown Temp : 93 C
Power Readings
Power Management : Supported
Power Draw : 13.23 W
Power Limit : 250.00 W
Default Power Limit : 250.00 W
Enforced Power Limit : 250.00 W
Min Power Limit : 125.00 W
Max Power Limit : 300.00 W
Clocks
Graphics : 139 MHz
SM : 139 MHz
Memory : 405 MHz
Video : 40 MHz
Applications Clocks
Graphics : N/A
Memory : N/A
Default Applications Clocks
Graphics : N/A
Memory : N/A
Max Clocks
Graphics : 1911 MHz
SM : 1911 MHz
Memory : 5505 MHz
Video : 1708 MHz
Clock Policy
Auto Boost : N/A
Auto Boost Default : N/A
Processes
Process ID : 1351
Type : G
Name : /usr/lib/xorg/Xorg
Used GPU Memory : 183 MiB
Process ID : 2378
Type : G
Name : compiz
Used GPU Memory : 53 MiB
Process ID : 2587
Type : G
Name : /opt/google/chrome/chrome --type=gpu-process --field-trial-handle=1 --enable-crash-reporter=63587760-f26d-4381-9a76-e07bb5071ee1, --supports-dual-gpus=false --gpu-driver-bug-workarounds=7,19,23,42,50,54,63,74,85,87,93 --disable-gl-extensions=GL_KHR_blend_equation_advanced GL_KHR_blend_equation_advanced_coherent --gpu-vendor-id=0x10de --gpu-device-id=0x1b06 --gpu-driver-vendor=NVIDIA --gpu-driver-version=378.13 --gpu-driver-date --enable-crash-reporter=63587760-f26d-4381-9a76-e07bb5071ee1, --service-request-channel-token=59BBB85158EA8E42E8C2B60BD363897E --v8-natives-passed-by-fd --v8-snapshot-passed-by-fd
Used GPU Memory : 87 MiB
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Watts
Mar 18, 2017, 6:17:56 PM3/18/17
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Here's the output of deviceQuery -
watts@Magnus:~/NVIDIA_CUDA-8.0_Samples/1_Utilities/deviceQuery$ ./deviceQuery ./deviceQuery Starting...
CUDA Device Query (Runtime API) version (CUDART static linking)
Detected 1 CUDA Capable device(s)
Device 0: "Graphics Device"
CUDA Driver Version / Runtime Version 8.0 / 8.0
CUDA Capability Major/Minor version number: 6.1
Total amount of global memory: 11169 MBytes (11711938560 bytes)
(28) Multiprocessors, (128) CUDA Cores/MP: 3584 CUDA Cores
GPU Max Clock rate: 1582 MHz (1.58 GHz)
Memory Clock rate: 5505 Mhz
Memory Bus Width: 352-bit
L2 Cache Size: 2883584 bytes
Maximum Texture Dimension Size (x,y,z) 1D=(131072), 2D=(131072, 65536), 3D=(16384, 16384, 16384)
Maximum Layered 1D Texture Size, (num) layers 1D=(32768), 2048 layers
Maximum Layered 2D Texture Size, (num) layers 2D=(32768, 32768), 2048 layers
Total amount of constant memory: 65536 bytes
Total amount of shared memory per block: 49152 bytes
Total number of registers available per block: 65536
Warp size: 32
Maximum number of threads per multiprocessor: 2048
Maximum number of threads per block: 1024
Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
Max dimension size of a grid size (x,y,z): (2147483647, 65535, 65535)
Maximum memory pitch: 2147483647 bytes
Texture alignment: 512 bytes
Concurrent copy and kernel execution: Yes with 2 copy engine(s)
Run time limit on kernels: Yes
Integrated GPU sharing Host Memory: No
Support host page-locked memory mapping: Yes
Alignment requirement for Surfaces: Yes
Device has ECC support: Disabled
Device supports Unified Addressing (UVA): Yes
Device PCI Domain ID / Bus ID / location ID: 0 / 3 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 8.0, CUDA Runtime Version = 8.0, NumDevs = 1, Device0 = Graphics Device
Result = PASS
Vijay Vasudevan
Mar 18, 2017, 7:10:25 PM3/18/17
to Watts, Discuss
How did you install TensorFlow? (did you pip install 'tensorflow-gpu' or 'tensorflow' ?)
Startup logs from TF would be useful. However, this is something that could be posted to StackOverflow tagged with 'tensorflow', since we try to avoid making this list a help forum.
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Watts
Mar 18, 2017, 7:16:19 PM3/18/17
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That was it! Muchos gracias.
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Isaac Gerg
Mar 18, 2017, 7:32:25 PM3/18/17
to Watts, Discuss
Dumb question but how did you install tensorflow? If by pip, did you use pip install tensorflow-gpu?
Watts
Mar 18, 2017, 7:34:19 PM3/18/17
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Yes, pip install tensorflow-gpu
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lms...@gmail.com
Mar 19, 2017, 4:35:49 PM3/19/17
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Just to make it clear: you was able to use 1080 Ti by issuing pip install tensorflow-gpu ?
Watts
Mar 19, 2017, 5:29:09 PM3/19/17
to Discuss, lms...@gmail.com
yes, the card is being detected now and I ran some simple programs using the gpu.
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