runtime error in 'bench_cg.py'

Bắt đầu bằng cách chạy examples/benchmarks/bench_cg.py và so sánh setup_input path của nó ở dòng 51 với ví dụ bench_fft.py đang hoạt động. Kiểm tra hành vi được báo cáo của af.info() và af.get_backend()/af.set_backend(), bao gồm cả các chi tiết về CUDA runtime trong báo cáo. Hoàn thành nghĩa là xác định được nguyên nhân của lỗi biên dịch PTX và metadata thiết bị bị thiếu hoặc thay đổi backend.

Hello,
I'm getting a runtime error running the bench_cg.py example:
RuntimeError: In function std::vector cuda::compileToPTX(const char*, std::string)

Also, the af.info() seems to see the GPU device, but doesn't assign it an ID, not could detect its memory and compute capability. At the same time, the bench_fft.py seems to work.

(venv3) igu@demeter:~$ nvidia-smi
Fri Apr 19 17:45:53 2019
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 418.39       Driver Version: 418.39       CUDA Version: 10.1     |
|-------------------------------+----------------------+----------------------+
| 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 980     Off  | 00000000:02:00.0 Off |                  N/A |
| 30%   42C    P0    45W / 195W |      0MiB /  4040MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+
(venv3) igu@demeter:~$ export | grep LD_LILI
declare -x LD_LIBRARY_PATH=":/usr/local/cuda/lib64:/opt/arrayfire/lib64:/usr/local/cuda/nvvm/lib64"
(venv3) igu@demeter:~$ python /mnt/Simulations/IvanG/WORKSPACE/arrayfire_examples/examples/benchmarks/bench_fft.py
ArrayFire v3.6.2 (CUDA, 64-bit Linux, build dc38ef1)
Platform: CUDA Toolkit , Driver: 418.39
[] GeForce GTX 980,  MB, CUDA Compute .
Benchmark N x N 2D fft on arrayfire
Time taken for  128 x  128: 0.9280 Gflops
Time taken for  256 x  256: 174.0147 Gflops
Time taken for  512 x  512: 300.4586 Gflops
Time taken for 1024 x 1024: 298.9022 Gflops
Time taken for 2048 x 2048: 287.5326 Gflops
Time taken for 4096 x 4096: 309.7844 Gflops
Benchmark N x N 2D fft on numpy
Time taken for  128 x  128: 4.4689 Gflops
Time taken for  256 x  256: 4.8368 Gflops
Time taken for  512 x  512: 4.4340 Gflops
Time taken for 1024 x 1024: 3.8707 Gflops
(venv3) igu@demeter:~$ python /mnt/Simulations/IvanG/WORKSPACE/arrayfire_examples/examples/benchmarks/bench_cg.py
ArrayFire v3.6.2 (CUDA, 64-bit Linux, build dc38ef1)
Platform: CUDA Toolkit , Driver: 418.39
[] GeForce GTX 980,  MB, CUDA Compute .

Testing benchmark functions...
Traceback (most recent call last):
  File "/mnt/Simulations/IvanG/WORKSPACE/arrayfire_examples/examples/benchmarks/bench_cg.py", line 199, in <module>
    test()
  File "/mnt/Simulations/IvanG/WORKSPACE/arrayfire_examples/examples/benchmarks/bench_cg.py", line 141, in test
    A, b, x0 = setup_input(n=50, sparsity=7)  # dense A
  File "/mnt/Simulations/IvanG/WORKSPACE/arrayfire_examples/examples/benchmarks/bench_cg.py", line 51, in setup_input
    A = A.T + A + n*af.identity(n, n, dtype=af.Dtype.f32)
  File "/opt/venv3/lib/python3.6/site-packages/arrayfire/array.py", line 664, in T
    return transpose(self, False)
  File "/opt/venv3/lib/python3.6/site-packages/arrayfire/array.py", line 318, in transpose
    safe_call(backend.get().af_transpose(c_pointer(out.arr), a.arr, conj))
  File "/opt/venv3/lib/python3.6/site-packages/arrayfire/util.py", line 79, in safe_call
    raise RuntimeError(to_str(err_str))
RuntimeError: In function std::vector<char> cuda::compileToPTX(const char*, std::string)
In file src/backend/cuda/jit.cpp:
(venv3) igu@demeter:~$

Also, setting the backend doesn't seem to have an effect:

>>> af.get_backend()
'unified'
>>> af.set_backend('cuda')
>>> af.get_backend()
'unified'

Thank you,
Ivan