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Let SwitchedSpsr transform count be specified

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This commit is contained in:
James Betker 2020-08-18 09:10:25 -06:00
parent 40bb0597bb
commit 24bdcc1181
2 changed files with 5 additions and 4 deletions
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6
codes/models/archs/SPSR_arch.py
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@ -228,11 +228,11 @@ class SPSRNet(nn.Module):
x_out = self._branch_pretrain_HR_conv1(x_out) x_out = self._branch_pretrain_HR_conv1(x_out)
######### #########
return x_out_branch, x_out, x_grad return x_out_branch, x_out, x_gradn
class SwitchedSpsr(nn.Module): class SwitchedSpsr(nn.Module):
def __init__(self, in_nc, out_nc, nf, upscale=4): def __init__(self, in_nc, out_nc, nf, xforms=8, upscale=4):
super(SwitchedSpsr, self).__init__() super(SwitchedSpsr, self).__init__()
n_upscale = int(math.log(upscale, 2)) n_upscale = int(math.log(upscale, 2))
@ -241,7 +241,7 @@ class SwitchedSpsr(nn.Module):
switch_filters = nf switch_filters = nf
switch_reductions = 3 switch_reductions = 3
switch_processing_layers = 2 switch_processing_layers = 2
self.transformation_counts = 8 self.transformation_counts = xforms
multiplx_fn = functools.partial(ConvBasisMultiplexer, transformation_filters, switch_filters, switch_reductions, multiplx_fn = functools.partial(ConvBasisMultiplexer, transformation_filters, switch_filters, switch_reductions,
switch_processing_layers, self.transformation_counts, use_exp2=True) switch_processing_layers, self.transformation_counts, use_exp2=True)
pretransform_fn = functools.partial(ConvGnLelu, transformation_filters, transformation_filters, norm=False, bias=False, weight_init_factor=.1) pretransform_fn = functools.partial(ConvGnLelu, transformation_filters, transformation_filters, norm=False, bias=False, weight_init_factor=.1)

3
codes/models/networks.py
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@ -112,7 +112,8 @@ def define_G(opt, net_key='network_G'):
netG = spsr.SPSRNetSimplifiedNoSkip(in_nc=opt_net['in_nc'], out_nc=opt_net['out_nc'], nf=opt_net['nf'], netG = spsr.SPSRNetSimplifiedNoSkip(in_nc=opt_net['in_nc'], out_nc=opt_net['out_nc'], nf=opt_net['nf'],
nb=opt_net['nb'], upscale=opt_net['scale']) nb=opt_net['nb'], upscale=opt_net['scale'])
elif which_model == "spsr_switched": elif which_model == "spsr_switched":
netG = spsr.SwitchedSpsr(in_nc=3, out_nc=3, nf=opt_net['nf'], upscale=opt_net['scale']) xforms = opt_net['num_transforms'] if 'num_transforms' in opt_net.keys() else 8
netG = spsr.SwitchedSpsr(in_nc=3, out_nc=3, nf=opt_net['nf'], xforms=xforms, upscale=opt_net['scale'])
# image corruption # image corruption
elif which_model == 'HighToLowResNet': elif which_model == 'HighToLowResNet':