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28 lines
817 B
Python
28 lines
817 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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class SRNetBase(nn.Module):
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def __init__(self):
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super(SRNetBase, self).__init__()
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def forward_stage(self, x, percieve_pattern, stage):
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b,c,h,w = x.shape
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scale = stage.upscale_factor
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x = percieve_pattern(x)
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x = stage(x)
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x = round_func(x)
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x = x.reshape(b, 1, h, w, scale, scale)
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x = x.permute(0, 1, 2, 4, 3, 5)
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x = x.reshape(b, 1, h*scale, w*scale)
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return x
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def get_lut_model(self, quantization_interval=16, batch_size=2**10):
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raise NotImplementedError
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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 |