Spaces:
Runtime error
Runtime error
| from functools import cached_property | |
| from importlib.metadata import version | |
| from importlib.util import find_spec | |
| import torch | |
| from packaging.version import parse | |
| def get_module_version(module_name): | |
| try: | |
| module_version = version(module_name) | |
| except Exception: | |
| module_version = None | |
| return module_version | |
| def compare_version(version1, version2): | |
| if not isinstance(version1, str) or not isinstance(version2, str): | |
| return None | |
| if parse(version1) > parse(version2): | |
| return 1 | |
| elif parse(version1) < parse(version2): | |
| return -1 | |
| else: | |
| return 0 | |
| def compare_module_version(module_name, version_string): | |
| module_version = get_module_version(module_name) | |
| result = compare_version(module_version, version_string) | |
| return result if result is not None else -2 | |
| class IACheckVersions: | |
| def diffusers_enable_cpu_offload(self): | |
| if (find_spec("diffusers") is not None and compare_module_version("diffusers", "0.15.0") >= 0 and | |
| find_spec("accelerate") is not None and compare_module_version("accelerate", "0.17.0") >= 0 and | |
| torch.cuda.is_available()): | |
| return True | |
| else: | |
| return False | |
| def torch_mps_is_available(self): | |
| if compare_module_version("torch", "2.0.1") < 0: | |
| if not getattr(torch, "has_mps", False): | |
| return False | |
| try: | |
| torch.zeros(1).to(torch.device("mps")) | |
| return True | |
| except Exception: | |
| return False | |
| else: | |
| return torch.backends.mps.is_available() and torch.backends.mps.is_built() | |
| def torch_on_amd_rocm(self): | |
| if find_spec("torch") is not None and "rocm" in version("torch"): | |
| return True | |
| else: | |
| return False | |
| def gradio_version_is_old(self): | |
| if find_spec("gradio") is not None and compare_module_version("gradio", "3.34.0") <= 0: | |
| return True | |
| else: | |
| return False | |
| ia_check_versions = IACheckVersions() | |