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25 lines
645 B
Python
25 lines
645 B
Python
import torch
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import torch.nn as nn
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import torch.nn.functional as F
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import numpy as np
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from common.utils import round_func
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from common import layers
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import copy
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class SRBase(nn.Module):
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def __init__(self):
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super(SRBase, self).__init__()
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def get_loss_fn(self):
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def loss_fn(pred, target):
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return F.mse_loss(pred/255, target/255)
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return loss_fn
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# def get_loss_fn(self):
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# ssim_loss = losses.SSIM(data_range=255)
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# l1_loss = losses.CharbonnierLoss()
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# def loss_fn(pred, target):
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# return ssim_loss(pred, target) + l1_loss(pred, target)
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# return loss_fn
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