Datasets:
| import functools | |
| import torch | |
| _num_sms = 0 | |
| def get_device_num_sms() -> int: | |
| prop = torch.cuda.get_device_properties(torch.cuda.current_device()) | |
| return prop.multi_processor_count | |
| def set_num_sms(num_sms: int) -> None: | |
| global _num_sms | |
| assert 0 < num_sms <= get_device_num_sms() | |
| _num_sms = num_sms | |
| def get_num_sms() -> int: | |
| global _num_sms | |
| if _num_sms == 0: | |
| return get_device_num_sms() | |
| return _num_sms | |
| def get_max_smem_per_sm() -> int: | |
| prop = torch.cuda.get_device_properties(torch.cuda.current_device()) | |
| return prop.shared_memory_per_multiprocessor | |