Source code for nvflare.app_opt.pt.params_converter

# 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 numpy as np
import torch

from nvflare.app_common.abstract.params_converter import ParamsConverter




class NumpyToPTParamsConverter(ParamsConverter):


    def convert(self, params: Dict, fl_ctx) -> Dict:
        tensor_shapes = fl_ctx.get_prop("tensor_shapes")
        if tensor_shapes:
            return {
                k: torch.as_tensor(np.reshape(v, tensor_shapes[k])) if k in tensor_shapes else torch.as_tensor(v)
                for k, v in params.items()
            }
        else:
            return {k: torch.as_tensor(v) for k, v in params.items()}






class PTToNumpyParamsConverter(ParamsConverter):


    def convert(self, params: Dict, fl_ctx) -> Dict:
        fl_ctx.set_prop("tensor_shapes", {k: v.shape for k, v in params.items()})
        return {k: v.cpu().numpy() for k, v in params.items()}