<reponame>ntyukaev/training_extensions
"""
NNCF-related utils
"""

# Copyright (C) 2021 Intel Corporation
#
# 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 limitations under the License.

import torch


def is_checkpoint_nncf(path):
    """
    The function uses metadata stored in a checkpoint to check if the
    checkpoint was the result of trainning of NNCF-compressed model.
    """
    state = torch.load(path, map_location="cpu")
    is_nncf = (
        bool(state.get("meta", {}).get("nncf_enable_compression"))
        or "nncf_metainfo" in state
    )
    return is_nncf
