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# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# 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.
"""The loss reduction modes."""
from enum import Enum
import torch
def _mean(recon: torch.Tensor) -> torch.Tensor:
return torch.mean(recon)
def _sum_per_frame(recon: torch.Tensor) -> torch.Tensor:
batch_size = recon.shape[0] * recon.shape[2] if recon.ndim == 5 else recon.shape[0]
return torch.sum(recon) / batch_size
def _sum(recon: torch.Tensor) -> torch.Tensor:
return torch.sum(recon) / recon.shape[0]
class ReduceMode(Enum):
MEAN = "MEAN"
SUM_PER_FRAME = "SUM_PER_FRAME"
SUM = "SUM"
@property
def function(self):
if self == ReduceMode.MEAN:
return _mean
elif self == ReduceMode.SUM_PER_FRAME:
return _sum_per_frame
elif self == ReduceMode.SUM:
return _sum
else:
raise ValueError("Invalid ReduceMode")
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