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: @cached_property 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 @cached_property 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() @cached_property def torch_on_amd_rocm(self): if find_spec("torch") is not None and "rocm" in version("torch"): return True else: return False @cached_property 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()