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Functions576 in github.com/JCBrouwer/maua-stylegan2

Method__init__
( self, in_channel, out_channel, kernel_size, style_dim, upsam
models/stylegan2.py:311
Method__init__
(self, in_channel, style_dim, upsample=True, blur_kernel=[1, 3, 3, 1])
models/stylegan2.py:347
Method__init__
( self, size, style_dim, n_mlp, channel_multiplier=2, blur_ker
models/stylegan2.py:369
Method__init__
( self, in_channel, out_channel, kernel_size, downsample=False,
models/stylegan2.py:580
Method__init__
(self, in_channel, out_channel, blur_kernel=[1, 3, 3, 1], use_skip=True)
models/stylegan2.py:624
Method__init__
(self, size, channel_multiplier=2, blur_kernel=[1, 3, 3, 1], use_skip=True)
models/stylegan2.py:647
Method__init__
(self)
models/autoencoder.py:18
Method__init__
(self, channels, size)
models/autoencoder.py:32
Method__init__
(self, in_channels, latent_dim, hidden_dims=None, alpha=10.0, beta=1.0, kld_weight=1)
models/autoencoder.py:47
Method__init__
( self, in_channels, n_filters, k_size, stride, padding, bias=True, dilation=1, with_bn=True, )
models/autoencoder.py:144
Method__init__
(self, in_size, out_size)
models/autoencoder.py:172
Method__init__
(self, in_size, out_size)
models/autoencoder.py:187
Method__init__
(self, in_size, out_size)
models/autoencoder.py:204
Method__init__
(self, in_size, out_size)
models/autoencoder.py:218
Method__init__
(self, in_channels=3)
models/autoencoder.py:343
Method__init__
(self, in_channels=3)
models/autoencoder.py:407
Method__init__
(self, channels)
models/autoencoder.py:491
Method__init__
(self, chs, repeat_num, use_inception)
models/autoencoder.py:514
Method__init__
(self, use_inception, repeat_per_module)
models/autoencoder.py:527
Method__init__
(self, channels)
models/autoencoder.py:573
Method__init__
(self, chs, repeat_num, use_inception)
models/autoencoder.py:596
Method__init__
(self, use_inception, repeat_per_module)
models/autoencoder.py:609
Method__init__
(self, latent_dim=512, repeat_per_block=1, use_inception=True)
models/autoencoder.py:644
Method__init__
( self, input_size, output_size, gain=2 ** (0.5), use_wscale=False, lrmul=1, bias=True, )
models/stylegan1.py:15
Method__init__
( self, input_channels, output_channels, kernel_size, gain=2 ** (0.5),
models/stylegan1.py:44
Method__init__
(self, channels)
models/stylegan1.py:111
Method__init__
(self, latent_size, channels, use_wscale)
models/stylegan1.py:127
Method__init__
(self, epsilon=1e-8)
models/stylegan1.py:140
Method__init__
(self, kernel=[1, 2, 1], normalize=True, flip=False, stride=1)
models/stylegan1.py:149
Method__init__
(self, factor=2, gain=1)
models/stylegan1.py:181
Method__init__
(self, nonlinearity="lrelu", use_wscale=True)
models/stylegan1.py:192
Method__init__
(self, avg_latent, max_layer=8, threshold=0.7)
models/stylegan1.py:225
Method__init__
( self, channels, dlatent_size, use_wscale, use_noise, use_pix
models/stylegan1.py:241
Method__init__
( self, nf, dlatent_size, const_input_layer, gain, use_wscale,
models/stylegan1.py:319
Method__init__
( self, in_channels, out_channels, blur_filter, dlatent_size,
models/stylegan1.py:365
Method__init__
( self, dlatent_size=512, # Disentangled latent (W) dimensionality. num_channels=3,
models/stylegan1.py:419
Method__init__
(self, sequential_fn, modulation)
audioreactive/bend.py:20
Method__init__
(self, noise)
audioreactive/bend.py:35
Method__init__
(self, modulation, h, w, noise)
audioreactive/bend.py:61
Method__init__
(self, modulation, h, w)
audioreactive/bend.py:97
Method__init__
(self, modulation, h, w, noise)
audioreactive/examples/tauceti.py:140
Method__len__
(self)
lucidrains.py:254
Method__len__
(self)
dataset.py:23
Method__new__
(cls, *args, **kwargs)
select_latents.py:53
Method__repr__
(self)
models/stylegan2.py:116
Method__repr__
(self)
models/stylegan2.py:148
Method__repr__
(self)
models/stylegan2.py:211
Method_backup_and_load_cache
Useful for performing evaluation on the slow weights (which typically generalize better)
lookahead_minimax.py:100
Method_clear_and_load_backup
(self)
lookahead_minimax.py:118
Method_on_canvas_configure
(self, event)
select_latents.py:207
Method_on_mousewheel
(self, event)
select_latents.py:75
Function_perlinterpolant
(t)
audioreactive/latent.py:184
Method_solve_v_and_rescale
(self, weight_mat, u, target_sigma)
validation/spectral_norm.py:49
Functionalign
(x, y, alpha=2)
accelerate/accelerate_segnet.py:81
Functionall_gather
(data)
distributed.py:67
Methodbackward
(ctx, gradgrad_input, gradgrad_bias)
op/fused_act.py:43
Methodbackward
(ctx, grad_output)
op/fused_act.py:64
Methodbackward
(ctx, gradgrad_input)
op/upfirdn2d.py:63
Methodbackward
(ctx, grad_output)
op/upfirdn2d.py:127
Functionchroma
Creates chromagram for the harmonic component of the audio Args: audio (np.array): Audio signal sr (int): Sampling rate of the au
audioreactive/signal.py:136
Functionchroma_weight_latents
Creates chromagram weighted latent sequence Args: chroma (th.tensor): Chromagram latents (th.tensor): Latents (must have same num
audioreactive/latent.py:15
Methodconfigure_apex
(self, amp, model, optimizers, amp_level)
lightning.py:72
Methodconfigure_optimizers
(self)
lightning.py:59
Functioncontrastive_loss
(queries, keys, temperature=0.1)
contrastive_learner.py:48
Functionconvert_rgb_to_transparent
(image)
lucidrains.py:206
Functionconvert_transparent_to_rgb
(image)
lucidrains.py:212
Functioncreate_circular_mask
(h, w, center=None, radius=None)
generate_video.py:277
Functiondefault
(val, def_val)
contrastive_learner.py:14
Functiondssim
(p0, p1, range=255.0)
validation/lpips/util.py:23
Functionenqueue_output
(out, queue)
gpumon.py:26
Functionexpand
Alias for compress. Whether compression or expansion occurs is determined by values of threshold and ratio
audioreactive/signal.py:314
Functionfid
(generator, batch_size, n_sample, truncation, inception_name, calculate_prdc=True)
validation/metrics.py:84
Functionflatten
(t)
contrastive_learner.py:18
Methodforward
(self, x)
lucidrains.py:75
Methodforward
(self, x)
lucidrains.py:84
Methodforward
(self, x)
lucidrains.py:94
Methodforward
(self, x)
lucidrains.py:103
Methodforward
(self, x)
lucidrains.py:276
Methodforward
(self, x, prev_rgb, istyle)
lucidrains.py:291
Methodforward
(self, x, y)
lucidrains.py:319
Methodforward
(self, x, prev_rgb, istyle, inoise)
lucidrains.py:358
Methodforward
(self, x)
lucidrains.py:392
Methodforward
(self, styles, input_noise)
lucidrains.py:434
Methodforward
(self, x)
lucidrains.py:492
Methodforward
(self, x)
lucidrains.py:621
Methodforward
(self, z)
lightning.py:50
Methodforward
(self, x)
generate_video.py:467
Methodforward
(self, x)
contrastive_learner.py:82
Methodforward
(self, x)
contrastive_learner.py:145
Methodforward
(self, X)
accelerate/accelerate_inception.py:52
Methodforward
(self, x, y)
accelerate/accelerate_inception.py:74
Methodforward
(self, X)
accelerate/accelerate_logcosh.py:57
Methodforward
(self, x, y)
accelerate/accelerate_logcosh.py:79
Methodforward
(self, X)
accelerate/accelerate_segnet.py:51
Methodforward
(self, x, y)
accelerate/accelerate_segnet.py:73
Methodforward
(ctx, grad_output, out, negative_slope, scale)
op/fused_act.py:22
Methodforward
(ctx, input, bias, negative_slope, scale)
op/fused_act.py:54
Methodforward
(self, input)
op/fused_act.py:82
Methodforward
( ctx, grad_output, kernel, grad_kernel, up, down, pad, g_pad, in_size, out_size )
op/upfirdn2d.py:21
Methodforward
(ctx, input, kernel, up, down, pad)
op/upfirdn2d.py:90
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