# 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
# 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
# limitations under the License.
Functionality related to describing availability and information of sparsification
algorithms to models within in the PyTorch framework.
from sparseml.sparsification import SparsificationInfo
__all__ = ["sparsification_info"]
_LOGGER = logging.getLogger(__name__)
[docs]def sparsification_info() -> SparsificationInfo:
Load the available setup for sparsifying model within pytorch.
:return: The sparsification info for the pytorch framework
_LOGGER.debug("getting sparsification info for pytorch")
info = SparsificationInfo(modifiers=) # TODO: fill in once available
_LOGGER.info("retrieved sparsification info for pytorch: %s", info)