Functions — github.com/LynnHo/EigenGAN-Tensorflow

hub / github.com/LynnHo/EigenGAN-Tensorflow / functions

Functions236 in github.com/LynnHo/EigenGAN-Tensorflow

⨍ Functions 236◇ Types & classes 8

↓ 8 callersFunctionactivation_fn

(v)

tfprob/gan/loss.py:10

↓ 6 callersFunctionsplit

Return dir, name, ext.

pylib/path.py:24

↓ 6 callersFunctionsplit

Return dir, name, ext.

scripts/pylib/path.py:24

↓ 4 callersFunctionget_fgan_losses_fn

(divergence, tricky=True)

tfprob/gan/loss.py:57

↓ 4 callersFunctionoutputs_size

(inputs_size, kernel, stride)

tflib/deep_learning/layers.py:154

↓ 3 callersFunction_check

(images, dtypes, min_value=-np.inf, max_value=np.inf)

scripts/imlib/dtype.py:4

↓ 3 callersFunction_check

(images, dtypes, min_value=-np.inf, max_value=np.inf)

imlib/dtype.py:4

↓ 3 callersFunction_check_ext

(path, default_ext)

pylib/serialization.py:6

↓ 3 callersFunction_check_ext

(path, default_ext)

scripts/pylib/serialization.py:6

↓ 3 callersFunction_norm

(x)

tfprob/gan/gradient_penalty.py:27

↓ 2 callersFunction_select

(filters, combine_type)

tflib/utils/collection.py:22

↓ 2 callersFunction_summary

(name, data)

tflib/utils/summary.py:14

↓ 2 callersFunctionbatch_dataset

(dataset, batch_size, drop_remainder=True, n_prefetch_ba

tflib/data/dataset.py:6

↓ 2 callersMethodclone_from_vars

(self, src_vars, var_type='all')

tflib/deep_learning/module.py:51

↓ 2 callersFunctionconjugate_fn

(t)

tfprob/gan/loss.py:13

scripts/pylib/timer.py:59

↓ 2 callersFunctionfn

(x)

tflib/deep_learning/learning_rate.py:6

↓ 2 callersMethodsave

(self, file_prefix_or_checkpoint_number=None, session=None)

tflib/utils/utils.py:71

↓ 2 callersFunctionto_range

Transform images from [-1.0, 1.0] to [min_value, max_value] of dtype.

scripts/imlib/dtype.py:30

↓ 2 callersFunctionto_range

Transform images from [-1.0, 1.0] to [min_value, max_value] of dtype.

imlib/dtype.py:30

↓ 2 callersFunctionwork_fn

(img_name)

scripts/remove_black_edge.py:51

↓ 1 callersFunctionD_train_graph

()

train.py:103

↓ 1 callersFunctionG_train_graph

()

train.py:180

↓ 1 callersFunction_sample_DRAGAN

(real, fake)

tfprob/gan/gradient_penalty.py:16

↓ 1 callersFunction_sample_line

(real, fake)

tfprob/gan/gradient_penalty.py:8

↓ 1 callersFunctionadaptive_scaling

(x, gamma=None, beta=None)

tflib/deep_learning/layers.py:220

↓ 1 callersFunctionargs_to_json

(path, namespace, **kwagrs)

pylib/argument.py:76

↓ 1 callersFunctionargs_to_json

(path, namespace, **kwagrs)

scripts/pylib/argument.py:76

↓ 1 callersFunctionargs_to_yaml

(path, namespace, **kwagrs)

pylib/argument.py:80

↓ 1 callersFunctionargs_to_yaml

(path, namespace, **kwagrs)

scripts/pylib/argument.py:80

↓ 1 callersFunctionblah

()

pylib/timer.py:123

↓ 1 callersFunctionblah

()

scripts/pylib/timer.py:123

↓ 1 callersMethodcall

(self, *args, **kwargs)

tflib/deep_learning/module.py:48

↓ 1 callersMethodclone_from_module

(self, src_module, var_type='all')

tflib/deep_learning/module.py:62

↓ 1 callersFunctionclone_graph

()

train.py:344

↓ 1 callersFunctioncount_edge

(img, eps=0.4)

scripts/remove_black_edge.py:19

↓ 1 callersFunctioncounter

(start=0, scope=None)

tflib/utils/utils.py:87

↓ 1 callersFunctiond_loss_fn

(r_logit, f_logit)

tfprob/gan/loss.py:60

↓ 1 callersFunctiong_loss_fn

(f_logit)

tfprob/gan/loss.py:90

↓ 1 callersFunctiongaussian_kernel2d

(kernel_radias, std)

tflib/image/filter.py:40

↓ 1 callersFunctionget_divergence_fn

(divergence)

tfprob/gan/loss.py:8

↓ 1 callersFunctionget_gan_losses_fn

()

tfprob/gan/loss.py:82

↓ 1 callersFunctionget_hinge_v1_losses_fn

()

tfprob/gan/loss.py:97

↓ 1 callersFunctionget_hinge_v2_losses_fn

()

tfprob/gan/loss.py:110

↓ 1 callersFunctionget_initialization_gain

(activation_fn_or_name, activation_params=None)

tflib/deep_learning/utils.py:43

↓ 1 callersFunctionget_lsgan_losses_fn

()

tfprob/gan/loss.py:123

↓ 1 callersFunctionget_wgan_losses_fn

()

tfprob/gan/loss.py:138

↓ 1 callersFunctionim2uint

Transform images from [-1.0, 1.0] to uint8.

scripts/imlib/dtype.py:60

↓ 1 callersFunctionim2uint

Transform images from [-1.0, 1.0] to uint8.

imlib/dtype.py:60

↓ 1 callersFunctionimread

Return a float64 image in [-1.0, 1.0]. Parameters ---------- kwargs: To be passed to skimage.io.imread.

scripts/imlib/basic.py:7

↓ 1 callersFunctionimwrite

Save a [-1.0, 1.0] image. Parameters ---------- quality: Quality for JEPG format. plugin_args: To be passed to skimag

scripts/imlib/basic.py:28

↓ 1 callersFunctionmemory_data_batch_dataset

Batch dataset of memory data. Parameters ---------- memory_data : nested structure of tensors/ndarrays/lists

tflib/data/dataset.py:77

↓ 1 callersFunctionparse_fn

(path, *label)

tflib/data/dataset.py:135

↓ 1 callersFunctionprefix

(path, prefixes, sep='-')

pylib/path.py:59

↓ 1 callersFunctionprefix

(path, prefixes, sep='-')

scripts/pylib/path.py:59

↓ 1 callersMethodrestore

(self, save_path=None)

tflib/utils/utils.py:67

↓ 1 callersFunctionsample_graph

()

train.py:268

↓ 1 callersMethodstart

(self)

pylib/timer.py:49

↓ 1 callersMethodstart

(self)

scripts/pylib/timer.py:49

↓ 1 callersFunctionsuffix

(path, suffixes, sep='-')

pylib/path.py:65

↓ 1 callersFunctionsuffix

(path, suffixes, sep='-')

scripts/pylib/path.py:65

↓ 1 callersFunctionsummary_image_v2

(name_data_dict, step, max_images=3, name='summ

tflib/utils/summary.py:91

↓ 1 callersFunctionsummary_statistic_v2

Summary of statistics. Examples -------- >>> summary_statistic_v2({'a': data_a, 'b': data_b}, tf.train.get_global_step())

tflib/utils/summary.py:40

↓ 1 callersFunctiontensors_filter

(tensors, includes='', includes_combine_type='or', ex

tflib/utils/collection.py:6

↓ 1 callersMethodtrainable_variables

(self)

tflib/deep_learning/module.py:82

↓ 1 callersFunctiontraversal_graph

()

test_traversal_all_dims.py:40

↓ 1 callersFunctiontraversal_graph

()

train.py:296

↓ 1 callersFunctionuint2im

Transform images from uint8 to [-1.0, 1.0] of float64.

scripts/imlib/dtype.py:43

↓ 1 callersFunctionuint2im

Transform images from uint8 to [-1.0, 1.0] of float64.

imlib/dtype.py:43

↓ 1 callersFunctionweight_modulation

(weights, gamma=None, demodulation=True, eps

tflib/deep_learning/layers_deprecated.py:10

Method__call__

Build graph implemented in `call` function of a subclass. Notice ------- - Variables are created only at the first call and w

tflib/deep_learning/module.py:25

Method__call__

(self, step)

tflib/deep_learning/learning_rate.py:25

Method__call__

(self, step)

tflib/deep_learning/learning_rate.py:42

Method__enter__

Start the timer in the context manager scope.

pylib/timer.py:36

Method__enter__

Start the timer in the context manager scope.

scripts/pylib/timer.py:36

scripts/pylib/timer.py:41

Method__getattr__

(self, attr)

tflib/utils/utils.py:78

Method__init__

(self, directory, # for tf.train.CheckpointManager checkpoint_kwargs=None,

tflib/utils/utils.py:57

Method__init__

(self, scope=None)

tflib/deep_learning/module.py:14

Method__init__

(self, initial_learning_rate, steps, step_start_decay)

tflib/deep_learning/learning_rate.py:19

Method__init__

(self, initial_learning_rate, step_size, decay_rate)

tflib/deep_learning/learning_rate.py:35

Method__init__

(self, fmt='s', print_at_exit=True, timer=timeit.default_timer)

pylib/timer.py:29

Method__init__

(self, fmt='s', print_at_exit=True, timer=timeit.default_timer)

scripts/pylib/timer.py:29

scripts/pylib/timer.py:46

Function_lipschitz_penalty

(grad)

tfprob/gan/gradient_penalty.py:44

tfprob/gan/gradient_penalty.py:32

Function_serialization_wrapper

(func)

pylib/argument.py:11

Function_serialization_wrapper

(func)

scripts/pylib/argument.py:11

scripts/pylib/argument.py:25

scripts/pylib/argument.py:13

Function_zero_mean_gp

(grad)

tfprob/gan/gradient_penalty.py:38

Functionadaptive_instance_normalization

(x, gamma=None, beta=None, epsilon=1e-5)

tflib/deep_learning/layers.py:232

scripts/pylib/path.py:8

next →1–100 of 236, ranked by callers