cosmos_predict1/tokenizer/training/losses/__init__.py

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# SPDX-License-Identifier: Apache-2.0
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# Licensed under the Apache License, Version 2.0 (the "License");
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# http://www.apache.org/licenses/LICENSE-2.0
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"""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")