| 27 | |
| 28 | |
| 29 | class CUDA_Accelerator(DeepSpeedAccelerator): |
| 30 | supports_nvtx_domain = True |
| 31 | |
| 32 | def __init__(self): |
| 33 | self._name = 'cuda' |
| 34 | self._communication_backend_name = 'nccl' if sys.platform != 'win32' else 'gloo' |
| 35 | self._compile_backend = "inductor" |
| 36 | self._nvtx_domains = {} |
| 37 | if pynvml is None: |
| 38 | self._init_pynvml() |
| 39 | |
| 40 | def _init_pynvml(self): |
| 41 | global pynvml |
| 42 | try: |
| 43 | import pynvml |
| 44 | except ImportError: |
| 45 | return |
| 46 | try: |
| 47 | pynvml.nvmlInit() |
| 48 | except pynvml.NVMLError: |
| 49 | pynvml = None |
| 50 | return |
| 51 | |
| 52 | def is_synchronized_device(self): |
| 53 | return False |
| 54 | |
| 55 | def use_host_timers(self): |
| 56 | return self.is_synchronized_device() |
| 57 | |
| 58 | def resolves_data_dependency(self): |
| 59 | return self.is_synchronized_device() |
| 60 | |
| 61 | def handles_memory_backpressure(self): |
| 62 | return self.is_synchronized_device() |
| 63 | |
| 64 | # Device APIs |
| 65 | def device_name(self, device_index=None): |
| 66 | if device_index is None: |
| 67 | return 'cuda' |
| 68 | return 'cuda:{}'.format(device_index) |
| 69 | |
| 70 | def communication_backend_version(self): |
| 71 | return torch.cuda.nccl.version() |
| 72 | |
| 73 | def device(self, device_index=None): |
| 74 | return torch.device('cuda', device_index) |
| 75 | |
| 76 | def set_device(self, device_index): |
| 77 | torch.cuda.set_device(device_index) |
| 78 | |
| 79 | def current_device(self): |
| 80 | return torch.cuda.current_device() |
| 81 | |
| 82 | def current_device_name(self): |
| 83 | return 'cuda:{}'.format(torch.cuda.current_device()) |
| 84 | |
| 85 | def device_count(self): |
| 86 | return torch.cuda.device_count() |
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