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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()
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