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AMP, SAEHD: reverted GAN to december version.

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iperov 2021-07-07 21:45:43 +04:00
commit ee1bc83a14
3 changed files with 5 additions and 19 deletions
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18
core/leras/models/PatchDiscriminator.py
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@ -146,11 +146,7 @@ class UNetPatchDiscriminator(nn.ModelBase):
prev_ch = in_ch
self.convs = []
self.res1 = []
self.res2 = []
self.upconvs = []
self.upres1 = []
self.upres2 = []
layers = self.find_archi(patch_size)
level_chs = { i-1:v for i,v in enumerate([ min( base_ch * (2**i), 512 ) for i in range(len(layers)+1)]) }
@ -160,14 +156,8 @@ class UNetPatchDiscriminator(nn.ModelBase):
for i, (kernel_size, strides) in enumerate(layers):
self.convs.append ( nn.Conv2D( level_chs[i-1], level_chs[i], kernel_size=kernel_size, strides=strides, padding='SAME') )
self.res1.append ( ResidualBlock(level_chs[i]) )
self.res2.append ( ResidualBlock(level_chs[i]) )
self.upconvs.insert (0, nn.Conv2DTranspose( level_chs[i]*(2 if i != len(layers)-1 else 1), level_chs[i-1], kernel_size=kernel_size, strides=strides, padding='SAME') )
self.upres1.insert (0, ResidualBlock(level_chs[i-1]*2) )
self.upres2.insert (0, ResidualBlock(level_chs[i-1]*2) )
self.out_conv = nn.Conv2D( level_chs[-1]*2, 1, kernel_size=1, padding='VALID')
self.center_out = nn.Conv2D( level_chs[len(layers)-1], 1, kernel_size=1, padding='VALID')
@ -178,19 +168,15 @@ class UNetPatchDiscriminator(nn.ModelBase):
x = tf.nn.leaky_relu( self.in_conv(x), 0.2 )
encs = []
for conv, res1,res2 in zip(self.convs, self.res1, self.res2):
for conv in self.convs:
encs.insert(0, x)
x = tf.nn.leaky_relu( conv(x), 0.2 )
x = res1(x)
x = res2(x)
center_out, x = self.center_out(x), tf.nn.leaky_relu( self.center_conv(x), 0.2 )
for i, (upconv, enc, upres1, upres2 ) in enumerate(zip(self.upconvs, encs, self.upres1, self.upres2)):
for i, (upconv, enc) in enumerate(zip(self.upconvs, encs)):
x = tf.nn.leaky_relu( upconv(x), 0.2 )
x = tf.concat( [enc, x], axis=nn.conv2d_ch_axis)
x = upres1(x)
x = upres2(x)
return center_out, self.out_conv(x)