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Method __init__

models/float/styledecoder.py:438–485  ·  view source on GitHub ↗
(self, size, style_dim, motion_dim, blur_kernel=[1, 3, 3, 1], channel_multiplier=1)

Source from the content-addressed store, hash-verified

436
437class Synthesis(nn.Module):
438 def __init__(self, size, style_dim, motion_dim, blur_kernel=[1, 3, 3, 1], channel_multiplier=1):
439 super(Synthesis, self).__init__()
440
441 self.size = size
442 self.style_dim = style_dim
443 self.motion_dim = motion_dim
444
445 self.direction = Direction(motion_dim)
446
447 self.channels = {
448 4: 512,
449 8: 512,
450 16: 512,
451 32: 512,
452 64: 256 * channel_multiplier,
453 128: 128 * channel_multiplier,
454 256: 64 * channel_multiplier,
455 512: 32 * channel_multiplier,
456 1024: 16 * channel_multiplier,
457 }
458
459 self.input = ConstantInput(self.channels[4])
460 self.conv1 = StyledConv(self.channels[4], self.channels[4], 3, style_dim, blur_kernel=blur_kernel)
461 self.to_rgb1 = ToRGB(self.channels[4], style_dim, upsample=False)
462
463 self.log_size = int(math.log(size, 2))
464 self.num_layers = (self.log_size - 2) * 2 + 1
465
466 self.convs = nn.ModuleList()
467 self.upsamples = nn.ModuleList()
468 self.to_rgbs = nn.ModuleList()
469 self.to_flows = nn.ModuleList()
470
471 in_channel = self.channels[4]
472
473 for i in range(3, self.log_size + 1):
474 out_channel = self.channels[2 ** i]
475
476 self.convs.append(StyledConv(in_channel, out_channel, 3, style_dim, upsample=True,
477 blur_kernel=blur_kernel))
478 self.convs.append(StyledConv(out_channel, out_channel, 3, style_dim, blur_kernel=blur_kernel))
479 self.to_rgbs.append(ToRGB(out_channel, style_dim))
480
481 self.to_flows.append(ToFlow(out_channel, style_dim))
482
483 in_channel = out_channel
484
485 self.n_latent = self.log_size * 2 - 2
486
487 def forward(self, wa, alpha, feats):
488 bs = wa.shape[0]

Callers

nothing calls this directly

Calls 6

DirectionClass · 0.85
ConstantInputClass · 0.85
StyledConvClass · 0.85
ToRGBClass · 0.85
ToFlowClass · 0.85
__init__Method · 0.45

Tested by

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