Source code for sparseml.deepsparse.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,
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import functools
from typing import Optional

from sparseml.base import check_version


try:
    import deepsparse

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


__all__ = [
    "deepsparse",
    "deepsparse_err",
    "check_deepsparse_install",
    "require_deepsparse",
]


[docs]def check_deepsparse_install( min_version: Optional[str] = None, max_version: Optional[str] = None, raise_on_error: bool = True, ) -> bool: """ Check that the deepsparse 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 deepsparse 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 deepsparse 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 deepsparse is not installed or the version is outside the accepted bounds and True if everything is correct. :rtype: bool """ if deepsparse_err is not None: if raise_on_error: raise deepsparse_err return False return check_version( "deepsparse", min_version, max_version, raise_on_error, alternate_package_names=["deepsparse-nightly"], )
[docs]def require_deepsparse( min_version: Optional[str] = None, max_version: Optional[str] = None ): """ Decorator function to require use of deepsparse. Will check that deepsparse 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_deepsparse_install` for more info. param min_version: The minimum version for deepsparse 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 deepsparse 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_deepsparse_install(min_version, max_version) return func(*args, **kwargs) return _wrapper return _decorator