# 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
#
# 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.
import torch
from torch import nn
[docs]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