The minimum required Cuda capability is 6.0 for the binary C-API releases 1.14.0 and 1.15.0 (reopened)

System information

• OS Platform and Distribution: Arch Linux
• TensorFlow installed from: binary
• TensorFlow version: 1.15.0
• Installed using: npm (tensorflow/tfjs-node-gpu)
• GPU model and memory: GeForce 960M, compute capability: 5.0

+-----------------------------------------------------------------------------+
| NVIDIA-SMI 440.82       Driver Version: 440.82       CUDA Version: 10.2     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  GeForce GTX 960M    Off  | 00000000:01:00.0 Off |                  N/A |
| N/A   48C    P0    N/A /  N/A |      0MiB /  2004MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+

Describe the problem Cuda capability requirement is set to 6.0. Error:

Ignoring visible gpu device (device: 0, name: GeForce GTX 960M, pci bus id: 0000:01:00.0, compute capability: 5.0) with Cuda compute capability 5.0. The minimum required Cuda capability is 6.0.

This reopens the issue #36853 which is related to #25329.

Provide the exact sequence of commands / steps that you executed before running into the problem

1. Create package.json containing {"dependencies": {"@tensorflow/tfjs-node-gpu": "^1.7.3"}}
2. run npm install
3. run some javascript using node const tf = require('@tensorflow/tfjs-node-gpu');

[mrpotes]

I was playing along at home with @BenTheElder’s blog post playing with using TFJS, but hit this issue on my laptop with a Quadro M1200 Mobile with compute capability 5.0. It would be great to get a fix!

[Shadawn]

I also encountered this issue with GeForce GTX 960M, CUDA capability 5