# Copyright (c) 2023, NVIDIA CORPORATION.  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
# limitations under the License.

from typing import Dict

import torch

from nvflare.app_common.utils.fl_model_utils import ParamsConverter


class NumpyToPTParamsConverter(ParamsConverter):
    def convert(self, params: Dict) -> Dict:
        return {k: torch.as_tensor(v) for k, v in params.items()}


class PTToNumpyParamsConverter(ParamsConverter):
    def convert(self, params: Dict) -> Dict:
        return {k: v.cpu().numpy() for k, v in params.items()}
