Files
Reinforced-Learning-Godot/rl/Lib/site-packages/onnxruntime/capi/onnxruntime_validation.py
2024-10-30 22:14:35 +01:00

145 lines
6.1 KiB
Python

# -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
# --------------------------------------------------------------------------
"""
Check OS requirements for ONNX Runtime Python Bindings.
"""
import linecache
import platform
import warnings
def check_distro_info():
__my_distro__ = ""
__my_distro_ver__ = ""
__my_system__ = platform.system().lower()
__OS_RELEASE_FILE__ = "/etc/os-release" # noqa: N806
__LSB_RELEASE_FILE__ = "/etc/lsb-release" # noqa: N806
if __my_system__ == "windows":
__my_distro__ = __my_system__
__my_distro_ver__ = platform.release().lower()
if __my_distro_ver__ not in ["10", "11"]:
warnings.warn(
f"Unsupported Windows version ({__my_distro_ver__}). ONNX Runtime supports Windows 10 and above, only."
)
elif __my_system__ == "linux":
"""Although the 'platform' python module for getting Distro information works well on standard OS images
running on real hardware, it is not accurate when running on Azure VMs, Git Bash, Cygwin, etc.
The returned values for release and version are unpredictable for virtualized or emulated environments.
/etc/os-release and /etc/lsb_release files, on the other hand, are guaranteed to exist and have standard values
in all OSes supported by onnxruntime. The former is the current standard file to check OS info and the latter
is its predecessor.
"""
# Newer systems have /etc/os-release with relevant distro info
__my_distro__ = linecache.getline(__OS_RELEASE_FILE__, 3)[3:-1]
__my_distro_ver__ = linecache.getline(__OS_RELEASE_FILE__, 6)[12:-2]
# Older systems may have /etc/os-release instead
if not __my_distro__:
__my_distro__ = linecache.getline(__LSB_RELEASE_FILE__, 1)[11:-1]
__my_distro_ver__ = linecache.getline(__LSB_RELEASE_FILE__, 2)[16:-1]
# Instead of trying to parse distro specific files,
# warn the user ONNX Runtime may not work out of the box
__my_distro__ = __my_distro__.lower()
__my_distro_ver__ = __my_distro_ver__.lower()
elif __my_system__ == "darwin":
__my_distro__ = __my_system__
__my_distro_ver__ = platform.release().lower()
if int(__my_distro_ver__.split(".")[0]) < 11:
warnings.warn(
f"Unsupported macOS version ({__my_distro_ver__}). ONNX Runtime supports macOS 11.0 or later."
)
else:
warnings.warn(
f"Unsupported platform ({__my_system__}). ONNX Runtime supports Linux, macOS and Windows platforms, only."
)
def validate_build_package_info():
import_ortmodule_exception = None
has_ortmodule = False
try:
from onnxruntime.training.ortmodule import ORTModule # noqa: F401
has_ortmodule = True
except ImportError:
# ORTModule not present
has_ortmodule = False
except Exception as e:
# this may happen if Cuda is not installed, we want to raise it after
# for any exception other than not having ortmodule, we want to continue
# device version validation and raise the exception after.
try:
from onnxruntime.training.ortmodule._fallback import ORTModuleInitException
if isinstance(e, ORTModuleInitException):
# ORTModule is present but not ready to run yet
has_ortmodule = True
except Exception:
# ORTModule not present
has_ortmodule = False
if not has_ortmodule:
import_ortmodule_exception = e
package_name = ""
version = ""
cuda_version = ""
if has_ortmodule:
try:
# collect onnxruntime package name, version, and cuda version
from .build_and_package_info import __version__ as version
from .build_and_package_info import package_name
try: # noqa: SIM105
from .build_and_package_info import cuda_version
except Exception:
pass
if cuda_version:
# collect cuda library build info. the library info may not be available
# when the build environment has none or multiple libraries installed
try:
from .build_and_package_info import cudart_version
except Exception:
warnings.warn("WARNING: failed to get cudart_version from onnxruntime build info.")
cudart_version = None
def print_build_package_info():
warnings.warn(f"onnxruntime training package info: package_name: {package_name}")
warnings.warn(f"onnxruntime training package info: __version__: {version}")
warnings.warn(f"onnxruntime training package info: cuda_version: {cuda_version}")
warnings.warn(f"onnxruntime build info: cudart_version: {cudart_version}")
# collection cuda library info from current environment.
from onnxruntime.capi.onnxruntime_collect_build_info import find_cudart_versions
local_cudart_versions = find_cudart_versions(build_env=False, build_cuda_version=cuda_version)
if cudart_version and local_cudart_versions and cudart_version not in local_cudart_versions:
print_build_package_info()
warnings.warn("WARNING: failed to find cudart version that matches onnxruntime build info")
warnings.warn(f"WARNING: found cudart versions: {local_cudart_versions}")
else:
# TODO: rcom
pass
except Exception as e:
warnings.warn("WARNING: failed to collect onnxruntime version and build info")
print(e)
if import_ortmodule_exception:
raise import_ortmodule_exception
return has_ortmodule, package_name, version, cuda_version
has_ortmodule, package_name, version, cuda_version = validate_build_package_info()