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Functions560 in github.com/VITA-Group/TransGAN

Methodforward
(self, input)
models_search/ViT_scale3_local_new_rp.py:51
Methodforward
(self, x)
models_search/ViT_scale3_local_new_rp.py:73
Methodforward
(self, x)
models_search/ViT_scale3_local_new_rp.py:86
Methodforward
(self, x)
models_search/ViT_scale3_local_new_rp.py:127
Methodforward
(self, x)
models_search/ViT_scale3_local_new_rp.py:158
Methodforward
(self, x)
models_search/ViT_scale3_local_new_rp.py:213
Methodforward
(self, x)
models_search/ViT_scale3_local_new_rp.py:237
Methodforward
(self, z, epoch)
models_search/ViT_scale3_local_new_rp.py:348
Methodforward
(self, x)
models_search/ViT_scale3_local_new_rp.py:380
Methodforward
(self, x)
models_search/ViT_scale3_local_new_rp.py:403
Methodforward
(self, x)
models_search/ViT_scale3_local_new_rp.py:586
Methodforward
(self, x1, x2)
models_search/ViT_custom_scale2_rp_noise.py:38
Methodforward
(self, input)
models_search/ViT_custom_scale2_rp_noise.py:51
Methodforward
(self, x)
models_search/ViT_custom_scale2_rp_noise.py:73
Methodforward
(self, x)
models_search/ViT_custom_scale2_rp_noise.py:86
Methodforward
(self, x)
models_search/ViT_custom_scale2_rp_noise.py:129
Methodforward
(self, x)
models_search/ViT_custom_scale2_rp_noise.py:161
Methodforward
(self, x)
models_search/ViT_custom_scale2_rp_noise.py:216
Methodforward
(self, x)
models_search/ViT_custom_scale2_rp_noise.py:241
Methodforward
(self, z, epoch)
models_search/ViT_custom_scale2_rp_noise.py:355
Methodforward
(self, x)
models_search/ViT_custom_scale2_rp_noise.py:387
Methodforward
(self, x)
models_search/ViT_custom_scale2_rp_noise.py:410
Methodforward
(self, x, aug=True, epoch=400)
models_search/ViT_custom_scale2_rp_noise.py:545
Methodforward
(self, x1, x2)
models_search/ViT_custom_local544444_256_rp_noise.py:14
Methodforward
(self, input)
models_search/ViT_custom_local544444_256_rp_noise.py:25
Methodforward
(self, x)
models_search/ViT_custom_local544444_256_rp_noise.py:44
Methodforward
(self, x)
models_search/ViT_custom_local544444_256_rp_noise.py:58
Methodforward
(self, x)
models_search/ViT_custom_local544444_256_rp_noise.py:104
Methodforward
(self, x)
models_search/ViT_custom_local544444_256_rp_noise.py:137
Methodforward
(self, x)
models_search/ViT_custom_local544444_256_rp_noise.py:158
Methodforward
(self, x)
models_search/ViT_custom_local544444_256_rp_noise.py:181
Methodforward
(self, z, epoch)
models_search/ViT_custom_local544444_256_rp_noise.py:389
Methodforward
(self, x)
models_search/ViT_custom_local544444_256_rp_noise.py:471
Methodforward
(self, x)
models_search/ViT_custom_local544444_256_rp_noise.py:624
Methodforward
(self, x1, x2)
models_search/ViT_custom_local544444_256_rp.py:14
Methodforward
(self, input)
models_search/ViT_custom_local544444_256_rp.py:25
Methodforward
(self, x)
models_search/ViT_custom_local544444_256_rp.py:44
Methodforward
(self, x)
models_search/ViT_custom_local544444_256_rp.py:56
Methodforward
(self, x)
models_search/ViT_custom_local544444_256_rp.py:98
Methodforward
(self, x)
models_search/ViT_custom_local544444_256_rp.py:130
Methodforward
(self, x)
models_search/ViT_custom_local544444_256_rp.py:151
Methodforward
(self, x)
models_search/ViT_custom_local544444_256_rp.py:174
Methodforward
(self, z, epoch)
models_search/ViT_custom_local544444_256_rp.py:382
Methodforward
(self, x)
models_search/ViT_custom_local544444_256_rp.py:464
Methodforward
(self, x)
models_search/ViT_custom_local544444_256_rp.py:617
Methodforward
(self, x1, x2)
models_search/Celeba256_gen.py:14
Methodforward
(self, input)
models_search/Celeba256_gen.py:25
Methodforward
(self, x)
models_search/Celeba256_gen.py:47
Methodforward
(self, x)
models_search/Celeba256_gen.py:61
Methodforward
(self, x, embedding)
models_search/Celeba256_gen.py:92
Methodforward
(self, x)
models_search/Celeba256_gen.py:149
Methodforward
(self, x)
models_search/Celeba256_gen.py:182
Methodforward
(self, inputs)
models_search/Celeba256_gen.py:205
Methodforward
(self, x, embedding)
models_search/Celeba256_gen.py:239
Methodforward
(self, z, epoch)
models_search/Celeba256_gen.py:451
Methodforward
(self, x)
models_search/Celeba256_gen.py:548
Methodforward
(self, x)
models_search/Celeba256_gen.py:701
Methodforward
(self, x1, x2)
models_search/ViT_custom.py:14
Methodforward
(self, input)
models_search/ViT_custom.py:27
Methodforward
(self, x)
models_search/ViT_custom.py:49
Methodforward
(self, x)
models_search/ViT_custom.py:62
Methodforward
(self, x)
models_search/ViT_custom.py:86
Methodforward
(self, x)
models_search/ViT_custom.py:114
Methodforward
(self, x)
models_search/ViT_custom.py:137
Methodforward
(self, x)
models_search/ViT_custom.py:161
Methodforward
(self, z, epoch)
models_search/ViT_custom.py:272
Methodforward
(self, x)
models_search/ViT_custom.py:313
Methodforward
(self, x)
models_search/ViT_custom.py:399
Methodforward
(ctx, input, grid)
torch_utils/ops/grid_sample_gradfix.py:46
Methodforward
(ctx, grad_output, input, grid)
torch_utils/ops/grid_sample_gradfix.py:63
Methodforward
(ctx, x, b)
torch_utils/ops/bias_act.py:147
Methodforward
(ctx, dy, x, b, y)
torch_utils/ops/bias_act.py:180
Methodforward
(ctx, x, f)
torch_utils/ops/upfirdn2d.py:230
Methodforward
(ctx, a, b, c)
torch_utils/ops/fma.py:22
Methodforward
(ctx, input, weight, bias)
torch_utils/ops/conv2d_gradfix.py:109
Methodforward
(ctx, grad_output, input)
torch_utils/ops/conv2d_gradfix.py:142
Functiongelu
Original Implementation of the gelu activation function in Google Bert repo when initialy created. For information: OpenAI GPT's gelu is slig
models_search/ViT_custom_scale2.py:54
Functiongelu
Original Implementation of the gelu activation function in Google Bert repo when initialy created. For information: OpenAI GPT's gelu is slig
models_search/ViT_custom_rp.py:30
Functiongelu
Original Implementation of the gelu activation function in Google Bert repo when initialy created. For information: OpenAI GPT's gelu is slig
models_search/Celeba256_dis.py:56
Functiongelu
Original Implementation of the gelu activation function in Google Bert repo when initialy created. For information: OpenAI GPT's gelu is slig
models_search/ViT_scale3_local_new_rp.py:54
Functiongelu
Original Implementation of the gelu activation function in Google Bert repo when initialy created. For information: OpenAI GPT's gelu is slig
models_search/ViT_custom_scale2_rp_noise.py:54
Functiongelu
Original Implementation of the gelu activation function in Google Bert repo when initialy created. For information: OpenAI GPT's gelu is slig
models_search/ViT_custom_local544444_256_rp_noise.py:27
Functiongelu
Original Implementation of the gelu activation function in Google Bert repo when initialy created. For information: OpenAI GPT's gelu is slig
models_search/ViT_custom_local544444_256_rp.py:27
Functiongelu
Original Implementation of the gelu activation function in Google Bert repo when initialy created. For information: OpenAI GPT's gelu is slig
models_search/Celeba256_gen.py:28
Functiongelu
Original Implementation of the gelu activation function in Google Bert repo when initialy created. For information: OpenAI GPT's gelu is slig
models_search/ViT_custom.py:30
Methodget_all
(self)
utils/utils.py:244
Functionget_dtype_and_ctype
Given a type name string (or an object having a __name__ attribute), return matching Numpy and ctypes types that have the same size in bytes.
dnnlib/util.py:187
Methodget_mean
(self)
utils/utils.py:235
Functionget_module_dir_by_obj_name
Get the directory path of the module containing the given object name.
dnnlib/util.py:292
Functionget_plugin
(module_name, sources, **build_kwargs)
torch_utils/custom_ops.py:46
Methodget_std
(self)
utils/utils.py:241
Functionget_top_level_function_name
Return the fully-qualified name of a top-level function.
dnnlib/util.py:303
Functionget_topk_arch_hidden
~ :param args: :param controller: :param gen_net: :param prev_archs: previous architecture :param prev_hiddens: previous hidd
functions.py:358
Functiongrid_sample
(input, grid)
torch_utils/ops/grid_sample_gradfix.py:27
Functionimport_hook
r"""Register an import hook that is called whenever a persistent object is being unpickled. A typical use case is to patch the pickled source
torch_utils/persistence.py:147
Methodinit_args
(self)
torch_utils/persistence.py:111
Methodinit_kwargs
(self)
torch_utils/persistence.py:115
Functioninit_multiprocessing
r"""Initializes `torch_utils.training_stats` for collecting statistics across multiple processes. This function must be called after `tor
torch_utils/training_stats.py:34
Methodis_full
(self)
utils/utils.py:216
Functionis_pickleable
(obj: Any)
dnnlib/util.py:210
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