Source code for cerebras.modelzoo.losses.ViTMAELoss

# Copyright 2022 Cerebras Systems.
#
# 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
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# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
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import torch
from torch import nn

from cerebras.modelzoo.common.registry import registry


[docs]@registry.register_loss("ViTMAELoss") class ViTMAELoss(nn.Module): def __init__( self, patch_size, ): super(ViTMAELoss, self).__init__() self.patch_size = patch_size def forward(self, decoder_masked_logits, mae_labels): loss = (decoder_masked_logits - mae_labels) ** 2 loss = torch.mean(loss) return loss
# TODO: add normed pixel loss options