| |
|
|
|
|
| def get_gpu_names(): |
| from subprocess import check_output |
|
|
| gpu_names = set() |
| out = check_output(["nvidia-smi", "-L"]) |
| for line in out.split(b"\n"): |
| if len(line) > 0: |
| gpu_names.add(line.decode("utf-8").split(" (UUID")[0]) |
| return gpu_names |
|
|
|
|
| def cuda_malloc_supported(): |
| blacklist = { |
| "GeForce GTX TITAN X", |
| "GeForce GTX 980", |
| "GeForce GTX 970", |
| "GeForce GTX 960", |
| "GeForce GTX 950", |
| "GeForce 945M", |
| "GeForce 940M", |
| "GeForce 930M", |
| "GeForce 920M", |
| "GeForce 910M", |
| "GeForce GTX 750", |
| "GeForce GTX 745", |
| "Quadro K620", |
| "Quadro K1200", |
| "Quadro K2200", |
| "Quadro M500", |
| "Quadro M520", |
| "Quadro M600", |
| "Quadro M620", |
| "Quadro M1000", |
| "Quadro M1200", |
| "Quadro M2000", |
| "Quadro M2200", |
| "Quadro M3000", |
| "Quadro M4000", |
| "Quadro M5000", |
| "Quadro M5500", |
| "Quadro M6000", |
| "GeForce MX110", |
| "GeForce MX130", |
| "GeForce 830M", |
| "GeForce 840M", |
| "GeForce GTX 850M", |
| "GeForce GTX 860M", |
| "GeForce GTX 1650", |
| "GeForce GTX 1630", |
| "Tesla M4", |
| "Tesla M6", |
| "Tesla M10", |
| "Tesla M40", |
| "Tesla M60", |
| } |
|
|
| try: |
| names = get_gpu_names() |
| except Exception: |
| return False |
|
|
| for x in names: |
| if "NVIDIA" in x: |
| for b in blacklist: |
| if b in x: |
| return False |
| return True |
|
|
| return False |
|
|
|
|
| def try_cuda_malloc(): |
| import os |
|
|
| if not cuda_malloc_supported(): |
| print("Failed to use cudaMallocAsync backend...") |
| return |
|
|
| env_var = os.environ.get("PYTORCH_CUDA_ALLOC_CONF", None) |
| if env_var is None: |
| env_var = "backend:cudaMallocAsync" |
| else: |
| env_var += ",backend:cudaMallocAsync" |
|
|
| os.environ["PYTORCH_CUDA_ALLOC_CONF"] = env_var |
| print("Using cudaMallocAsync backend") |
|
|
