Source code for sparseml.onnx.base

# Copyright (c) 2021 - present / Neuralmagic, Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#    http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
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import functools
from typing import Optional

from sparseml.base import check_version


try:
    import onnx

    onnx_err = None
except Exception as err:
    onnx = object()  # TODO: populate with fake object for necessary imports
    onnx_err = err

try:
    import onnxruntime

    onnxruntime_err = None
except Exception as err:
    onnxruntime = object()  # TODO: populate with fake object for necessary imports
    onnxruntime_err = err

__all__ = [
    "onnx",
    "onnx_err",
    "onnxruntime",
    "onnxruntime_err",
    "check_onnx_install",
    "check_onnxruntime_install",
    "require_onnx",
    "require_onnxruntime",
]


_ONNX_MIN_VERSION = "1.5.0"
_ORT_MIN_VERSION = "1.0.0"


[docs]def check_onnx_install( min_version: Optional[str] = _ONNX_MIN_VERSION, max_version: Optional[str] = None, raise_on_error: bool = True, ) -> bool: """ Check that the onnx package is installed. If raise_on_error, will raise an ImportError if it is not installed or the required version range, if set, is not installed. If not raise_on_error, will return True if installed with required version and False otherwise. :param min_version: The minimum version for onnx that it must be greater than or equal to, if unset will require no minimum version :type min_version: str :param max_version: The maximum version for onnx that it must be less than or equal to, if unset will require no maximum version. :type max_version: str :param raise_on_error: True to raise any issues such as not installed, minimum version, or maximum version as ImportError. False to return the result. :type raise_on_error: bool :return: If raise_on_error, will return False if onnx is not installed or the version is outside the accepted bounds and True if everything is correct. :rtype: bool """ if onnx_err is not None: if raise_on_error: raise onnx_err return False return check_version("onnx", min_version, max_version, raise_on_error)
[docs]def check_onnxruntime_install( min_version: Optional[str] = _ORT_MIN_VERSION, max_version: Optional[str] = None, raise_on_error: bool = True, ) -> bool: """ Check that the onnxruntime package is installed. If raise_on_error, will raise an ImportError if it is not installed or the required version range, if set, is not installed. If not raise_on_error, will return True if installed with required version and False otherwise. :param min_version: The minimum version for onnxruntime that it must be greater than or equal to, if unset will require no minimum version :type min_version: str :param max_version: The maximum version for onnxruntime that it must be less than or equal to, if unset will require no maximum version. :type max_version: str :param raise_on_error: True to raise any issues such as not installed, minimum version, or maximum version as ImportError. False to return the result. :type raise_on_error: bool :return: If raise_on_error, will return False if onnxruntime is not installed or the version is outside the accepted bounds and True if everything is correct. :rtype: bool """ if onnxruntime_err is not None: if raise_on_error: raise onnxruntime_err return False return check_version("onnxruntime", min_version, max_version, raise_on_error)
[docs]def require_onnx( min_version: Optional[str] = _ONNX_MIN_VERSION, max_version: Optional[str] = None ): """ Decorator function to require use of onnx. Will check that onnx package is installed and within the bounding ranges of min_version and max_version if they are set before calling the wrapped function. See :func:`check_onnx_install` for more info. param min_version: The minimum version for onnx that it must be greater than or equal to, if unset will require no minimum version :type min_version: str :param max_version: The maximum version for onnx that it must be less than or equal to, if unset will require no maximum version. :type max_version: str """ def _decorator(func): @functools.wraps(func) def _wrapper(*args, **kwargs): check_onnx_install(min_version, max_version) return func(*args, **kwargs) return _wrapper return _decorator
[docs]def require_onnxruntime( min_version: Optional[str] = _ORT_MIN_VERSION, max_version: Optional[str] = None ): """ Decorator function to require use of onnxruntime. Will check that onnxruntime package is installed and within the bounding ranges of min_version and max_version if they are set before calling the wrapped function. See :func:`check_onnxruntime_install` for more info. param min_version: The minimum version for onnxruntime that it must be greater than or equal to, if unset will require no minimum version :type min_version: str :param max_version: The maximum version for onnxruntime that it must be less than or equal to, if unset will require no maximum version. :type max_version: str """ def _decorator(func): @functools.wraps(func) def _wrapper(*args, **kwargs): check_onnxruntime_install(min_version, max_version) return func(*args, **kwargs) return _wrapper return _decorator