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Functions560 in github.com/VITA-Group/TransGAN

Function_downsample
(x)
models_search/ViT_custom_local544444_256_rp.py:446
Function_downsample
(x)
models_search/Celeba256_gen.py:529
Function_downsample
(x)
models_search/ViT_custom.py:294
Method_init_weights
(self, m)
models_search/ViT_custom_scale2.py:330
Method_init_weights
(self, m)
models_search/ViT_custom_scale2.py:487
Method_init_weights
(self, m)
models_search/ViT_custom_rp.py:393
Method_init_weights
(self, m)
models_search/Celeba256_dis.py:346
Method_init_weights
(self, m)
models_search/Celeba256_dis.py:532
Method_init_weights
(self, m)
models_search/ViT_scale3_local_new_rp.py:330
Method_init_weights
(self, m)
models_search/ViT_scale3_local_new_rp.py:505
Method_init_weights
(self, m)
models_search/ViT_custom_scale2_rp_noise.py:337
Method_init_weights
(self, m)
models_search/ViT_custom_scale2_rp_noise.py:494
Method_init_weights
(self, m)
models_search/ViT_custom_local544444_256_rp_noise.py:550
Method_init_weights
(self, m)
models_search/ViT_custom_local544444_256_rp.py:543
Method_init_weights
(self, m)
models_search/Celeba256_gen.py:627
Method_init_weights
(self, m)
models_search/ViT_custom.py:369
Function_progress
(count, block_size, total_size)
utils/inception_score.py:71
Function_reconstruct_persistent_obj
r"""Hook that is called internally by the `pickle` module to unpickle a persistent object.
torch_utils/persistence.py:179
Methodas_dict
r"""Returns the averages accumulated between the last two calls to `update()` as an `dnnlib.EasyDict`. The contents are as follows:
torch_utils/training_stats.py:212
Functionask_yes_no
Ask the user the question until the user inputs a valid answer.
dnnlib/util.py:153
Functionassert_shape
(tensor, ref_shape)
torch_utils/misc.py:80
Methodbackward
(ctx, grad_output)
torch_utils/ops/grid_sample_gradfix.py:54
Methodbackward
(ctx, grad2_grad_input, grad2_grad_grid)
torch_utils/ops/grid_sample_gradfix.py:70
Methodbackward
(ctx, d_dx)
torch_utils/ops/bias_act.py:189
Methodbackward
(ctx, dy)
torch_utils/ops/upfirdn2d.py:246
Methodbackward
(ctx, dout)
torch_utils/ops/fma.py:29
Methodbackward
(ctx, grad_output)
torch_utils/ops/conv2d_gradfix.py:119
Methodbackward
(ctx, grad2_grad_weight)
torch_utils/ops/conv2d_gradfix.py:151
Functionbias_act
r"""Fused bias and activation function. Adds bias `b` to activation tensor `x`, evaluates activation function `act`, and scales the result by
torch_utils/ops/bias_act.py:55
Functionbias_act
torch_utils/ops/bias_act.cpp:32
Functioncheck_ddp_consistency
(module, ignore_regex=None)
torch_utils/misc.py:178
Functionconstant
(value, shape=None, dtype=None, device=None, memory_format=None)
torch_utils/misc.py:22
Functionconstruct_class_by_name
Finds the python class with the given name and constructs it with the given arguments.
dnnlib/util.py:287
Functionconv2d
(input, weight, bias=None, stride=1, padding=0, dilation=1, groups=1)
torch_utils/ops/conv2d_gradfix.py:35
Functionconv2d_resample
r"""2D convolution with optional up/downsampling. Padding is performed only once at the beginning, not between the operations. Args:
torch_utils/ops/conv2d_resample.py:59
Functionconv_transpose2d
(input, weight, bias=None, stride=1, padding=0, output_padding=0, groups=1, dilation=1)
torch_utils/ops/conv2d_gradfix.py:40
Functioncopy_files_and_create_dirs
Takes in a list of tuples of (src, dst) paths and copies files. Will create all necessary directories.
dnnlib/util.py:348
Functioncopy_params_and_buffers
(src_module, dst_module, require_all=False)
torch_utils/misc.py:153
Functioncount_matmul
(m, x, y)
models_search/ViT_custom_scale2.py:42
Functioncount_matmul
(m, x, y)
models_search/ViT_custom_rp.py:18
Functioncount_matmul
(m, x, y)
models_search/Celeba256_dis.py:44
Functioncount_matmul
(m, x, y)
models_search/ViT_scale3_local_new_rp.py:42
Functioncount_matmul
(m, x, y)
models_search/ViT_custom_scale2_rp_noise.py:42
Functioncount_matmul
(m, x, y)
models_search/ViT_custom_local544444_256_rp_noise.py:17
Functioncount_matmul
(m, x, y)
models_search/ViT_custom_local544444_256_rp.py:17
Functioncount_matmul
(m, x, y)
models_search/Celeba256_gen.py:17
Functioncount_matmul
(m, x, y)
models_search/ViT_custom.py:18
Functionddp_sync
(module, sync)
torch_utils/misc.py:167
Functiondecorator
(*args, **kwargs)
torch_utils/misc.py:99
Functiondownsample2d
r"""Downsample a batch of 2D images using the given 2D FIR filter. By default, the result is padded so that its shape is a fraction of the input.
torch_utils/ops/upfirdn2d.py:347
Functionfilter2d
r"""Filter a batch of 2D images using the given 2D FIR filter. By default, the result is padded so that its shape matches the input. User-spe
torch_utils/ops/upfirdn2d.py:272
Functionfma
(a, b, c)
torch_utils/ops/fma.py:15
Functionformat_time
Convert the seconds to human readable string with days, hours, minutes and seconds.
dnnlib/util.py:139
Methodforward
Get Inception feature maps Parameters ---------- inp : torch.autograd.Variable Input tensor of shape Bx3xHxW. Valu
utils/inception_model.py:128
Methodforward
(self, x)
utils/inception_model.py:194
Methodforward
(self, x)
utils/inception_model.py:220
Methodforward
(self, x)
utils/inception_model.py:249
Methodforward
(self, x)
utils/inception_model.py:283
Methodforward
Get Inception feature maps Parameters ---------- inp : torch.autograd.Variable Input tensor of shape Bx3xHxW. Valu
utils/inception.py:128
Methodforward
(self, x)
utils/inception.py:195
Methodforward
(self, x)
utils/inception.py:221
Methodforward
(self, x)
utils/inception.py:250
Methodforward
(self, x)
utils/inception.py:284
Methodforward
(self, x1, x2)
models_search/ViT_custom_scale2.py:38
Methodforward
(self, input)
models_search/ViT_custom_scale2.py:51
Methodforward
(self, x)
models_search/ViT_custom_scale2.py:73
Methodforward
(self, x)
models_search/ViT_custom_scale2.py:86
Methodforward
(self, x)
models_search/ViT_custom_scale2.py:127
Methodforward
(self, x)
models_search/ViT_custom_scale2.py:158
Methodforward
(self, x)
models_search/ViT_custom_scale2.py:213
Methodforward
(self, x)
models_search/ViT_custom_scale2.py:237
Methodforward
(self, z, epoch)
models_search/ViT_custom_scale2.py:348
Methodforward
(self, x)
models_search/ViT_custom_scale2.py:380
Methodforward
(self, x)
models_search/ViT_custom_scale2.py:403
Methodforward
(self, x, aug=True, epoch=400)
models_search/ViT_custom_scale2.py:538
Methodforward
(self, x1, x2)
models_search/ViT_custom_rp.py:14
Methodforward
(self, input)
models_search/ViT_custom_rp.py:27
Methodforward
(self, x)
models_search/ViT_custom_rp.py:49
Methodforward
(self, x)
models_search/ViT_custom_rp.py:62
Methodforward
(self, x)
models_search/ViT_custom_rp.py:103
Methodforward
(self, x)
models_search/ViT_custom_rp.py:134
Methodforward
(self, x)
models_search/ViT_custom_rp.py:157
Methodforward
(self, x)
models_search/ViT_custom_rp.py:182
Methodforward
(self, z, epoch)
models_search/ViT_custom_rp.py:296
Methodforward
(self, x)
models_search/ViT_custom_rp.py:337
Methodforward
(self, x)
models_search/ViT_custom_rp.py:423
Methodforward
(self, x)
models_search/ViT_helper.py:29
Methodforward
(self, x1, x2)
models_search/Celeba256_dis.py:40
Methodforward
(self, input)
models_search/Celeba256_dis.py:53
Methodforward
(self, x)
models_search/Celeba256_dis.py:75
Methodforward
(self, x)
models_search/Celeba256_dis.py:88
Methodforward
(self, x)
models_search/Celeba256_dis.py:119
Methodforward
(self, x)
models_search/Celeba256_dis.py:174
Methodforward
(self, x)
models_search/Celeba256_dis.py:229
Methodforward
(self, x)
models_search/Celeba256_dis.py:253
Methodforward
(self, z, epoch)
models_search/Celeba256_dis.py:364
Methodforward
(self, x)
models_search/Celeba256_dis.py:396
Methodforward
(self, x)
models_search/Celeba256_dis.py:419
Methodforward
(self, x, aug=True, epoch=400)
models_search/Celeba256_dis.py:619
Methodforward
(self, x1, x2)
models_search/ViT_scale3_local_new_rp.py:38
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