Functions — github.com/SummitKwan/transparent_latent

hub / github.com/SummitKwan/transparent_latent_gan / functions

Functions308 in github.com/SummitKwan/transparent_latent_gan

⨍ Functions 308◇ Types & classes 23

↓ 22 callersMethodrun

(self, *in_arrays, return_as_list = False, # True = return a list of NumPy arrays, False = return

src/model/pggan/tfutil.py:621

↓ 13 callersFunctionadd_command

(cmd, desc, example=None)

src/model/pggan/dataset_tool.py:650

↓ 13 callersFunctionadd_command

(cmd, desc, example=None)

src/ingestion/dataset_tool_modify.py:658

↓ 13 callersFunctionapply_bias

(x)

src/model/pggan/networks.py:53

↓ 13 callersFunctionnf

(stage)

src/model/pggan/networks.py:167

↓ 12 callersFunctionis_tf_expression

(x)

src/model/pggan/tfutil.py:23

↓ 12 callersFunctionlayer

(name, gain, w)

src/model/pggan/legacy.py:65

↓ 10 callersMethodadd_image

(self, img)

src/model/pggan/dataset_tool.py:62

↓ 10 callersMethodadd_image

(self, img)

src/ingestion/dataset_tool_modify.py:69

↓ 10 callersMethodget_minibatch_np

(self, minibatch_size, lod=0)

src/model/pggan/dataset.py:148

↓ 10 callersFunctionrun

(*args, **kwargs)

src/model/pggan/tfutil.py:20

↓ 9 callersFunctionabsolute_name_scope

(scope)

src/model/pggan/tfutil.py:49

↓ 9 callersMethodclose

(self)

src/model/pggan/dataset_tool.py:47

↓ 9 callersFunctionerror

(msg)

src/model/pggan/dataset_tool.py:24

↓ 9 callersFunctionerror

(msg)

src/ingestion/dataset_tool_modify.py:31

↓ 9 callersMethodfind_var

(self, var_or_localname)

src/model/pggan/tfutil.py:525

↓ 8 callersMethodchoose_shuffled_order

(self)

src/model/pggan/dataset_tool.py:57

↓ 8 callersMethodchoose_shuffled_order

(self)

src/ingestion/dataset_tool_modify.py:64

↓ 8 callersFunctionconv2d

(x, fmaps, kernel, gain=np.sqrt(2), use_wscale=False)

src/model/pggan/networks.py:44

↓ 7 callersMethodget_output_for

(self, *in_expr, return_as_list=False, **dynamic_kwargs)

src/model/pggan/tfutil.py:502

↓ 7 callersMethodwrite

(self, data)

src/model/pggan/misc.py:100

↓ 6 callersFunctionblock

(x, res)

src/model/pggan/networks.py:179

↓ 6 callersFunctionshape_to_list

(shape)

src/model/pggan/tfutil.py:26

↓ 5 callersFunctionPN

(x)

src/model/pggan/networks.py:168

↓ 5 callersMethodadd_labels

(self, labels)

src/model/pggan/dataset_tool.py:87

↓ 5 callersMethodadd_labels

(self, labels)

src/ingestion/dataset_tool_modify.py:94

↓ 5 callersMethodbegin

(self, mode)

src/model/pggan/metrics/ms_ssim.py:187

↓ 5 callersFunctionfp32

(*values)

src/model/pggan/loss.py:16

↓ 5 callersFunctiontorgb

(x, res)

src/model/pggan/networks.py:200

↓ 5 callersFunctionupscale2d

(x, factor=2)

src/model/pggan/networks.py:72

↓ 4 callersFunctioncset

(cur_lambda, new_cond, new_lambda)

src/model/pggan/networks.py:17

↓ 4 callersFunctiondownscale2d

(x, factor=2)

src/model/pggan/networks.py:98

↓ 4 callersFunctionfromrgb

(x, res)

src/model/pggan/networks.py:261

↓ 4 callersFunctiongen_image

tool funciton to generate image from latent variables :param latents: latent variables :return:

src/tl_gan/script_generation_interactive.py:78

↓ 4 callersMethodget_metric_formatting

(self)

src/model/pggan/metrics/ms_ssim.py:184

↓ 4 callersFunctionget_weight

(shape, gain=np.sqrt(2), use_wscale=False, fan_in=None)

src/model/pggan/networks.py:22

↓ 4 callersFunctionset_vars

(var_to_value_dict)

src/model/pggan/tfutil.py:105

↓ 3 callersFunction_download_lsun

(out_dir, category, set_name, tag)

src/ingestion/process_celeba.py:120

↓ 3 callersMethod_init_fields

(self)

src/model/pggan/tfutil.py:435

↓ 3 callersMethod_init_graph

(self)

src/model/pggan/tfutil.py:456

↓ 3 callersFunctionautosummary

(name, value)

src/model/pggan/tfutil.py:139

↓ 3 callersMethodclone

(self, name=None)

src/model/pggan/tfutil.py:576

↓ 3 callersFunctiondense

(x, fmaps, gain=np.sqrt(2), use_wscale=False)

src/model/pggan/networks.py:34

↓ 3 callersMethodend

(self, mode)

src/model/pggan/metrics/ms_ssim.py:196

↓ 3 callersMethodfeed

(self, mode, minibatch)

src/model/pggan/metrics/ms_ssim.py:191

↓ 3 callersFunctionfind_obj_in_module

(module, relative_obj_name)

src/model/pggan/tfutil.py:224

↓ 3 callersMethodflush

(self)

src/model/pggan/misc.py:106

↓ 3 callersMethodget_loss_scaling_var

(self, device)

src/model/pggan/tfutil.py:379

↓ 3 callersMethodget_var_localname

(self, var_or_globalname)

src/model/pggan/tfutil.py:516

↓ 3 callersFunctionimg_crop

crop images based on center and width, height :param img: image data, numpy array, shape = [height, width, RGB] :param cx: center pixel

src/ingestion/crop_celeba_aligned.py:24

↓ 3 callersMethodreset_optimizer_state

(self)

src/model/pggan/tfutil.py:375

↓ 2 callersFunction_create_autosummary_var

(name, value_expr)

src/model/pggan/tfutil.py:176

↓ 2 callersMethod_generate_labels

(self, minibatch)

src/model/pggan/dataset.py:222

↓ 2 callersFunction_handle_path

(path, sess)

src/model/pggan/metrics/frechet_inception_distance.py:202

↓ 2 callersMethodapply_loss_scaling

(self, value)

src/model/pggan/tfutil.py:388

↓ 2 callersMethodapply_updates

(self)

src/model/pggan/tfutil.py:304

↓ 2 callersFunctioncalculate_frechet_distance

Numpy implementation of the Frechet Distance. The Frechet distance between two multivariate Gaussians X_1 ~ N(mu_1, C_1) and X_2 ~ N(mu_2, C_2

src/model/pggan/metrics/frechet_inception_distance.py:125

↓ 2 callersFunctioncheck_or_download_inception

Checks if the path to the inception file is valid, or downloads the file if it is not present.

src/model/pggan/metrics/frechet_inception_distance.py:184

↓ 2 callersMethodclose

(self)

src/ingestion/dataset_tool_modify.py:54

↓ 2 callersMethodconfigure

(self, minibatch_size, lod=0)

src/model/pggan/dataset.py:135

↓ 2 callersMethodconfigure

(self, minibatch_size, lod=0)

src/model/pggan/dataset.py:190

↓ 2 callersFunctionconvert_to_pil_image

(image, drange=[0,1])

src/model/pggan/misc.py:62

↓ 2 callersMethodcopy_vars_from

(self, src_net)

src/model/pggan/tfutil.py:589

↓ 2 callersFunctioncreate_inception_graph

Creates a graph from saved GraphDef file.

src/model/pggan/metrics/frechet_inception_distance.py:52

↓ 2 callersFunctionexp2

(x)

src/model/pggan/tfutil.py:37

↓ 2 callersFunctionflatten2

(w)

src/model/pggan/legacy.py:62

↓ 2 callersFunctionget_activations

Calculates the activations of the pool_3 layer for all images. Params: -- images : Numpy array of dimension (n_images, hi, wi, 3). The v

src/model/pggan/metrics/frechet_inception_distance.py:88

↓ 2 callersMethodget_minibatch_tf

(self)

src/model/pggan/dataset.py:144

↓ 2 callersFunctiongrow

(x, res, lod)

src/model/pggan/networks.py:219

↓ 2 callersFunctionimport_module

(module_or_obj_name)

src/model/pggan/tfutil.py:212

↓ 2 callersFunctionimport_obj

(obj_name)

src/model/pggan/tfutil.py:230

↓ 2 callersFunctioninit_uninited_vars

(vars=None)

src/model/pggan/tfutil.py:84

↓ 2 callersFunctionlerp

(a, b, t)

src/model/pggan/networks.py:15

↓ 2 callersFunctionlerp_clip

(a, b, t)

src/model/pggan/networks.py:16

↓ 2 callersFunctionlocate_result_subdir

(run_id_or_result_subdir)

src/model/pggan/misc.py:187

↓ 2 callersMethodmodify_along_feature

(self, event, idx_feature, step_size=0.05)

src/tl_gan/script_generation_interactive.py:120

↓ 2 callersFunctionorthogonalize_one_vector

tool function, adjust vector so that it is orthogonal to vector_base (i.e., vector - its_projection_on_vector_base ) :param vector0: 1D arra

src/tl_gan/feature_axis.py:128

↓ 2 callersFunctionorthogonalize_vectors

tool function, adjust vectors so that they are orthogonal to each other, takes O(num_vector^2) time :param vectors: vectors, shape = (num_di

src/tl_gan/feature_axis.py:139

↓ 2 callersFunctionpixel_norm

(x, epsilon=1e-8)

src/model/pggan/networks.py:120

↓ 2 callersMethodprint_layers

(self, title=None, hide_layers_with_no_params=False)

src/model/pggan/tfutil.py:713

↓ 2 callersFunctionpyr_up

(minibatch)

src/model/pggan/metrics/sliced_wasserstein.py:76

↓ 2 callersMethodregister_gradients

(self, loss, vars)

src/model/pggan/tfutil.py:277

↓ 2 callersMethodreset_vars

(self)

src/model/pggan/tfutil.py:494

↓ 2 callersFunctionrot90

(v)

src/model/pggan/dataset_tool.py:495

↓ 2 callersFunctionrot90

(v)

src/ingestion/dataset_tool_modify.py:503

↓ 2 callersMethodsetup_weight_histograms

(self, title=None)

src/model/pggan/tfutil.py:738

↓ 2 callersMethodundo_loss_scaling

(self, value)

src/model/pggan/tfutil.py:395

↓ 1 callersFunction_FSpecialGauss

Function to mimic the 'fspecial' gaussian MATLAB function.

src/model/pggan/metrics/ms_ssim.py:25

↓ 1 callersFunction_HoxDownsample

(img)

src/model/pggan/metrics/ms_ssim.py:110

↓ 1 callersFunction_SSIMForMultiScale

Return the Structural Similarity Map between `img1` and `img2`. This function attempts to match the functionality of ssim_index_new.m by Zhou

src/model/pggan/metrics/ms_ssim.py:38

↓ 1 callersMethod__enter__

(self)

src/model/pggan/dataset_tool.py:155

↓ 1 callersMethod__init__

(self, num_threads)

src/model/pggan/dataset_tool.py:128

↓ 1 callersMethod__init__

(self, num_threads)

src/ingestion/dataset_tool_modify.py:135

↓ 1 callersFunction_download_cifar

(out_dir)

src/ingestion/process_celeba.py:152

↓ 1 callersMethod_generate_images

(self, minibatch, lod, shape)

src/model/pggan/dataset.py:219

↓ 1 callersFunction_get_inception_layer

Prepares inception net for batched usage and returns pool_3 layer.

src/model/pggan/metrics/frechet_inception_distance.py:64

↓ 1 callersFunction_init_inception

()

src/model/pggan/metrics/inception_score.py:72

↓ 1 callersMethodadd_task

(self, func, args=())

src/model/pggan/dataset_tool.py:138

↓ 1 callersMethodadd_task

(self, func, args=())

src/ingestion/dataset_tool_modify.py:145

↓ 1 callersFunctionadjust_dynamic_range

(data, drange_in, drange_out)

src/model/pggan/misc.py:38

next →1–100 of 308, ranked by callers