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Functions404 in github.com/LizhenWangT/StyleAvatar

↓ 30 callersFunctionupfirdn2d
(input, kernel, up=1, down=1, pad=(0, 0))
styleunet/networks/stylegan2_ops/upfirdn2d.py:151
↓ 26 callersFunctionupfirdn2d
(input, kernel, up=1, down=1, pad=(0, 0))
styleavatar/networks/stylegan2_ops/upfirdn2d.py:151
↓ 19 callersMethod__init__
(self, kernel, pad, upsample_factor=1)
styleunet/networks/modules.py:72
↓ 18 callersMethod__init__
(self, kernel, pad, upsample_factor=1)
styleavatar/networks/modules.py:72
↓ 16 callersMethod__init__
(self, kernel, pad, upsample_factor=1)
styleunet/networks/modules_for_onnx.py:98
↓ 16 callersMethod__init__
(self, kernel, pad, upsample_factor=1)
styleavatar/networks/modules_for_onnx.py:98
↓ 13 callersMethod__init__
(self, kernel, pad, upsample_factor=1)
styleunet/networks/modules_for_discriminator.py:72
↓ 13 callersMethod__init__
(self, kernel, pad, upsample_factor=1)
styleavatar/networks/modules_for_discriminator.py:72
↓ 13 callersFunctionrandom_mat_apply
(p, transform, prev, eye, device="cpu")
styleunet/augmentation.py:185
↓ 11 callersFunctionupfirdn2d
(input, kernel, up=1, down=1, pad=(0, 0))
styleunet/networks/modules_for_onnx.py:8
↓ 11 callersFunctionupfirdn2d
(input, kernel, up=1, down=1, pad=(0, 0))
styleavatar/networks/modules_for_onnx.py:8
↓ 10 callersFunctionrequires_grad
(model, flag=True)
styleavatar/train.py:30
↓ 4 callersFunctionlognormal_sample
(size, mean=0, std=1, device="cpu")
styleunet/augmentation.py:162
↓ 4 callersFunctionrequires_grad
(model, flag=True)
styleunet/train.py:29
↓ 4 callersFunctionscale_mat_single
(s_x, s_y)
styleunet/augmentation.py:380
↓ 4 callersFunctionuniform_sample
(size, low, high, device="cpu")
styleunet/augmentation.py:173
↓ 3 callersMethodbackward
(ctx, grad_output)
styleunet/augmentation.py:350
↓ 3 callersMethodbackward
(ctx, grad_output)
styleavatar/networks/stylegan2_ops/upfirdn2d.py:130
↓ 3 callersFunctioncategory_sample
(size, categories, device="cpu")
styleunet/augmentation.py:166
↓ 3 callersFunctionget_embedder
(multires, i=0)
styleavatar/torch_utils.py:117
↓ 3 callersFunctionget_world_size
()
styleunet/distributed.py:32
↓ 3 callersFunctionget_world_size
()
styleavatar/distributed.py:32
↓ 3 callersFunctionmake_kernel
(k)
styleunet/networks/modules_for_onnx.py:44
↓ 3 callersFunctionmake_kernel
(k)
styleunet/networks/modules_for_discriminator.py:18
↓ 3 callersFunctionmake_kernel
(k)
styleunet/networks/modules.py:18
↓ 3 callersFunctionmake_kernel
(k)
styleavatar/networks/modules_for_onnx.py:44
↓ 3 callersFunctionmake_kernel
(k)
styleavatar/networks/modules_for_discriminator.py:18
↓ 3 callersFunctionmake_kernel
(k)
styleavatar/networks/modules.py:18
↓ 3 callersFunctionrotate_mat
(theta, device="cpu")
styleunet/augmentation.py:77
↓ 3 callersFunctionscale_mat
(s_x, s_y, device="cpu")
styleunet/augmentation.py:89
↓ 3 callersFunctiontranslate_mat_single
(t_x, t_y)
styleunet/augmentation.py:384
↓ 2 callersMethod__init__
(self, size, img_channel=3, channel_multiplier=2, blur_kernel=[1, 3, 3, 1])
styleunet/networks/discriminator.py:10
↓ 2 callersMethod__init__
(self, size, img_channel=3, channel_multiplier=2, blur_kernel=[1, 3, 3, 1])
styleavatar/networks/discriminator.py:10
↓ 2 callersFunctionaccumulate
(model1, model2, decay=0.999)
styleunet/train.py:34
↓ 2 callersFunctionaccumulate
(model1, model2, decay=0.999)
styleavatar/train.py:35
↓ 2 callersMethodassigen
(self, tensor_ckpt)
styleavatar/networks/generator_for_onnx.py:133
↓ 2 callersFunctionaugment
(img, p, transform_matrix=(None, None), use_affine=True, use_color=True)
styleunet/augmentation.py:461
↓ 2 callersFunctiondistance
(a, b)
styleunet/face_alignment.py:5
↓ 2 callersFunctionface_align
(img, landmarks)
styleunet/face_alignment.py:9
↓ 2 callersFunctionface_align_inverse
(img, align, param, kernel_size=15)
styleunet/face_alignment.py:31
↓ 2 callersFunctionfused_leaky_relu
(input, bias=None, negative_slope=0.2, scale=2 ** 0.5)
styleunet/networks/stylegan2_ops/fused_act.py:107
↓ 2 callersFunctionfused_leaky_relu
(input, bias=None, negative_slope=0.2, scale=2 ** 0.5)
styleavatar/networks/stylegan2_ops/fused_act.py:107
↓ 2 callersMethodgenerate_face_keypoints_convex_hull_mask
(self, image, select=False)
styleunet/dataset.py:24
↓ 2 callersFunctionget_haar_wavelet
(in_channels)
styleunet/networks/modules_for_onnx.py:372
↓ 2 callersFunctionget_haar_wavelet
(in_channels)
styleunet/networks/modules_for_discriminator.py:373
↓ 2 callersFunctionget_haar_wavelet
(in_channels)
styleunet/networks/modules.py:372
↓ 2 callersFunctionget_haar_wavelet
(in_channels)
styleavatar/networks/modules_for_onnx.py:362
↓ 2 callersFunctionget_haar_wavelet
(in_channels)
styleavatar/networks/modules_for_discriminator.py:373
↓ 2 callersFunctionget_haar_wavelet
(in_channels)
styleavatar/networks/modules.py:372
↓ 2 callersFunctionget_rank
()
styleunet/distributed.py:7
↓ 2 callersFunctionget_rank
()
styleavatar/distributed.py:7
↓ 2 callersFunctionnormal_sample
(size, mean=0, std=1, device="cpu")
styleunet/augmentation.py:177
↓ 2 callersFunctionskin_whiten
(img, k=0.9, iter=1)
styleunet/generate_retouching.py:5
↓ 2 callersFunctiontranslate_mat
(t_x, t_y, device="cpu")
styleunet/augmentation.py:67
↓ 1 callersMethod__init__
(self, input_size, output_size, style_dim, mlp_num, channel_multiplier=2, blur_kernel=[1, 3, 3, 1])
styleavatar/networks/generator.py:75
↓ 1 callersFunctionapply_color
(img, mat)
styleunet/augmentation.py:441
↓ 1 callersFunctionbernoulli_sample
(size, p, device="cpu")
styleunet/augmentation.py:181
↓ 1 callersMethodcreate_embedding_fn
(self)
styleavatar/torch_utils.py:89
↓ 1 callersFunctiond_logistic_loss
(real_pred, fake_pred)
styleunet/train.py:47
↓ 1 callersFunctiond_logistic_loss
(real_pred, fake_pred)
styleavatar/train.py:48
↓ 1 callersFunctiond_r1_loss
(real_pred, real_img)
styleunet/train.py:53
↓ 1 callersFunctiond_r1_loss
(real_pred, real_img)
styleavatar/train.py:54
↓ 1 callersFunctiondata_sampler
(dataset, shuffle, distributed)
styleunet/train.py:20
↓ 1 callersFunctiondata_sampler
(dataset, shuffle, distributed)
styleavatar/train.py:21
↓ 1 callersMethodembed
(self, inputs)
styleavatar/torch_utils.py:113
↓ 1 callersFunctionerode
(depth, pix)
styleavatar/torch_utils.py:161
↓ 1 callersFunctionfacial_dermabrasion_effect
(img, k=1)
styleunet/generate_retouching.py:30
↓ 1 callersFunctiong_nonsaturating_loss
(fake_pred)
styleunet/train.py:59
↓ 1 callersFunctiong_nonsaturating_loss
(fake_pred)
styleavatar/train.py:60
↓ 1 callersFunctiongenerate_face_keypoints_convex_hull_mask
(image)
styleunet/generate_mask.py:9
↓ 1 callersFunctiongenerate_random_blur
(image, poss=0)
styleunet/generate_blur.py:8
↓ 1 callersMethodgenerate_random_blur
(self, image)
styleunet/dataset.py:90
↓ 1 callersFunctiongenerate_random_mask
(image, shape, max_sides=10, max_size=50)
styleunet/generate_mask.py:25
↓ 1 callersMethodgenerate_random_mask
(self, image, shape, max_sides=10, max_size=50)
styleunet/dataset.py:39
↓ 1 callersFunctionget_padding
(G, height, width, kernel_size)
styleunet/augmentation.py:301
↓ 1 callersFunctionluma_flip_mat
(axis, i)
styleunet/augmentation.py:141
↓ 1 callersMethodmake_noise
(self, device)
styleunet/networks/generator.py:81
↓ 1 callersFunctionrandom_apply_affine
(img, p, G=None, antialiasing_kernel=SYM6)
styleunet/augmentation.py:388
↓ 1 callersFunctionrandom_apply_color
(img, p, C=None)
styleunet/augmentation.py:452
↓ 1 callersFunctionreduce_sum
(tensor)
styleunet/distributed.py:42
↓ 1 callersFunctionrotate3d_mat
(axis, theta)
styleunet/augmentation.py:109
↓ 1 callersFunctionsample_affine
(p, size, height, width, device="cpu")
styleunet/augmentation.py:193
↓ 1 callersFunctionsample_color
(p, size)
styleunet/augmentation.py:252
↓ 1 callersFunctionsample_data
(loader)
styleunet/train.py:41
↓ 1 callersFunctionsample_data
(loader)
styleavatar/train.py:42
↓ 1 callersFunctionsaturation_mat
(axis, i)
styleunet/augmentation.py:151
↓ 1 callersFunctionscale3d_mat
(s_x, s_y, s_z)
styleunet/augmentation.py:130
↓ 1 callersFunctionskin_whiten
(img, k=0.9, iter=1)
styleunet/test.py:14
↓ 1 callersFunctionsynchronize
()
styleunet/distributed.py:17
↓ 1 callersFunctionsynchronize
()
styleavatar/distributed.py:17
↓ 1 callersFunctiontest
(args, generator, device)
styleunet/test.py:39
↓ 1 callersFunctiontest
(args, generator, device)
styleavatar/test.py:15
↓ 1 callersFunctiontorch2onnx
(args, generator, device)
styleunet/torch2onnx.py:15
↓ 1 callersFunctiontorch2onnx
(args, generator, device)
styleavatar/torch2onnx.py:14
↓ 1 callersFunctiontrain
(args, loader, generator, discriminator, g_ema, g_optim, d_optim, device)
styleunet/train.py:92
↓ 1 callersFunctiontrain
(args, loader, back_generator, face_generator, image_generator, discriminator, g_ema, b_g_optim, f_g_optim, i_
styleavatar/train.py:93
↓ 1 callersFunctiontranslate3d_mat
(t_x, t_y, t_z)
styleunet/augmentation.py:99
↓ 1 callersFunctiontry_sample_affine_and_pad
(img, p, kernel_size, G=None)
styleunet/augmentation.py:324
↓ 1 callersMethodtune
(self, real_pred)
styleunet/augmentation.py:24
↓ 1 callersFunctionupfirdn2d_native
( input, kernel, up_x, up_y, down_x, down_y, pad_x0, pad_x1, pad_y0, pad_y1 )
styleunet/networks/stylegan2_ops/upfirdn2d.py:170
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