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Functions258 in github.com/barisgecer/TBGAN

⨍ Functions 258◇ Types & classes 20
↓ 37 callersFunctionapply_bias
(x)
networks.py:53
↓ 34 callersFunctionnf
(stage)
networks.py:168
↓ 27 callersMethodrun
(self, *in_arrays, return_as_list = False, # True = return a list of NumPy arrays, False = return
tfutil.py:663
↓ 26 callersFunctionconv2d
(x, fmaps, kernel, gain=np.sqrt(2), use_wscale=False)
networks.py:44
↓ 20 callersFunctionerror
(msg)
dataset_tool.py:26
↓ 16 callersFunctionadd_command
(cmd, desc, example=None)
dataset_tool.py:853
↓ 14 callersFunctionPN
(x)
networks.py:169
↓ 13 callersMethodclose
(self)
dataset_tool.py:49
↓ 12 callersFunctionis_tf_expression
(x)
tfutil.py:21
↓ 12 callersFunctionlayer
(name, gain, w)
legacy.py:66
↓ 11 callersMethodchoose_shuffled_order
(self)
dataset_tool.py:59
↓ 11 callersMethodfind_var
(self, var_or_localname)
tfutil.py:523
↓ 10 callersFunctionabsolute_name_scope
(scope)
tfutil.py:47
↓ 10 callersMethodadd_image
(self, img)
dataset_tool.py:64
↓ 10 callersFunctionrun
(*args, **kwargs)
tfutil.py:18
↓ 9 callersMethodwrite
(self, data)
misc.py:110
↓ 8 callersMethodget_output_for
(self, *in_expr, return_as_list=False, **dynamic_kwargs)
tfutil.py:500
↓ 8 callersFunctionupscale2d
(x, factor=2)
networks.py:72
↓ 7 callersFunctionconvert_to_pil_image
(image, drange=[0,1])
misc.py:62
↓ 7 callersFunctiondownscale2d
(x, factor=2)
networks.py:98
↓ 7 callersMethodget_minibatch_np
(self, minibatch_size, lod=0)
dataset.py:137
↓ 6 callersMethodadd_labels
(self, labels)
dataset_tool.py:137
↓ 6 callersFunctionblock
(x, res)
networks.py:180
↓ 6 callersMethodclone
(self, name=None)
tfutil.py:574
↓ 6 callersFunctioncreate_image_grid
(images, grid_size=None)
misc.py:45
↓ 6 callersFunctionshape_to_list
(shape)
tfutil.py:24
↓ 5 callersFunctionfp32
(*values)
loss.py:15
↓ 5 callersMethodreset_optimizer_state
(self)
tfutil.py:373
↓ 5 callersFunctiontorgb
(x, res)
networks.py:234
↓ 4 callersMethodapply_updates
(self)
tfutil.py:302
↓ 4 callersMethodbegin
(self, mode)
metrics/ms_ssim.py:187
↓ 4 callersFunctionconv2d_downscale2d
(x, fmaps, kernel, gain=np.sqrt(2), use_wscale=False)
networks.py:109
↓ 4 callersFunctioncset
(cur_lambda, new_cond, new_lambda)
networks.py:17
↓ 4 callersFunctionfromrgb
(x, res)
networks.py:307
↓ 4 callersMethodget_metric_formatting
(self)
metrics/ms_ssim.py:184
↓ 4 callersFunctionget_weight
(shape, gain=np.sqrt(2), use_wscale=False, fan_in=None)
networks.py:22
↓ 4 callersMethodprint_layers
(self, title=None, hide_layers_with_no_params=False)
tfutil.py:755
↓ 4 callersMethodregister_gradients
(self, loss, vars)
tfutil.py:275
↓ 4 callersFunctionset_vars
(var_to_value_dict)
tfutil.py:103
↓ 4 callersMethodsetup_weight_histograms
(self, title=None)
tfutil.py:780
↓ 4 callersFunctionupscale2d_conv2d
(x, fmaps, kernel, gain=np.sqrt(2), use_wscale=False)
networks.py:86
↓ 3 callersMethod_init_fields
(self)
tfutil.py:433
↓ 3 callersMethod_init_graph
(self)
tfutil.py:454
↓ 3 callersFunctionautosummary
(name, value)
tfutil.py:137
↓ 3 callersMethodconfigure
(self, minibatch_size, lod=0)
dataset.py:124
↓ 3 callersFunctiondense
(x, fmaps, gain=np.sqrt(2), use_wscale=False)
networks.py:34
↓ 3 callersMethodend
(self, mode)
metrics/ms_ssim.py:196
↓ 3 callersMethodfeed
(self, mode, minibatch)
metrics/ms_ssim.py:191
↓ 3 callersFunctionfind_obj_in_module
(module, relative_obj_name)
tfutil.py:222
↓ 3 callersMethodget_loss_scaling_var
(self, device)
tfutil.py:377
↓ 3 callersMethodget_minibatch_tf
(self)
dataset.py:133
↓ 3 callersMethodget_var_localname
(self, var_or_globalname)
tfutil.py:514
↓ 2 callersFunction_create_autosummary_var
(name, value_expr)
tfutil.py:174
↓ 2 callersMethod_generate_labels
(self, minibatch)
dataset.py:224
↓ 2 callersFunction_handle_path
(path, sess)
metrics/frechet_inception_distance.py:202
↓ 2 callersMethodadd_both
(self, img)
dataset_tool.py:113
↓ 2 callersMethodapply_loss_scaling
(self, value)
tfutil.py:386
↓ 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
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.
metrics/frechet_inception_distance.py:184
↓ 2 callersMethodconfigure
(self, minibatch_size, lod=0)
dataset.py:192
↓ 2 callersMethodcopy_vars_from
(self, src_net)
tfutil.py:587
↓ 2 callersFunctioncreate_inception_graph
Creates a graph from saved GraphDef file.
metrics/frechet_inception_distance.py:52
↓ 2 callersFunctionexp2
(x)
tfutil.py:35
↓ 2 callersMethodfit
(self, *in_arrays, return_as_list = False, # True = return a list of NumPy arrays, False = return
tfutil.py:619
↓ 2 callersFunctionflatten2
(w)
legacy.py:63
↓ 2 callersMethodflush
(self)
misc.py:116
↓ 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
metrics/frechet_inception_distance.py:88
↓ 2 callersFunctiongrow
(x, res, lod)
networks.py:263
↓ 2 callersFunctionimport_module
(module_or_obj_name)
tfutil.py:210
↓ 2 callersFunctionimport_obj
(obj_name)
tfutil.py:228
↓ 2 callersFunctioninit_uninited_vars
(vars=None)
tfutil.py:82
↓ 2 callersFunctionlerp
(a, b, t)
networks.py:15
↓ 2 callersFunctionlerp_clip
(a, b, t)
networks.py:16
↓ 2 callersFunctionload_512_ifo_dict
()
UV_manipulation_2.py:16
↓ 2 callersFunctionlocate_result_subdir
(run_id_or_result_subdir)
misc.py:197
↓ 2 callersFunctionpixel_norm
(x, epsilon=1e-8)
networks.py:120
↓ 2 callersFunctionpyr_up
(minibatch)
metrics/sliced_wasserstein.py:76
↓ 2 callersMethodreset_vars
(self)
tfutil.py:492
↓ 2 callersFunctionrot90
(v)
dataset_tool.py:545
↓ 2 callersMethodsetup_as_moving_average_of
(self, src_net, beta=0.99, beta_nontrainable=0.0)
tfutil.py:606
↓ 2 callersMethodundo_loss_scaling
(self, value)
tfutil.py:393
↓ 1 callersFunction_FSpecialGauss
Function to mimic the 'fspecial' gaussian MATLAB function.
metrics/ms_ssim.py:25
↓ 1 callersFunction_HoxDownsample
(img)
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
metrics/ms_ssim.py:38
↓ 1 callersMethod__enter__
(self)
dataset_tool.py:205
↓ 1 callersMethod__init__
(self, num_threads)
dataset_tool.py:178
↓ 1 callersMethod_generate_images
(self, minibatch, lod, shape)
dataset.py:221
↓ 1 callersFunction_get_inception_layer
Prepares inception net for batched usage and returns pool_3 layer.
metrics/frechet_inception_distance.py:64
↓ 1 callersFunction_init_inception
()
metrics/inception_score.py:72
↓ 1 callersMethodadd_shape
(self, img)
dataset_tool.py:89
↓ 1 callersMethodadd_task
(self, func, args=())
dataset_tool.py:188
↓ 1 callersFunctionadjust_dynamic_range
(data, drange_in, drange_out)
misc.py:38
↓ 1 callersFunctioncalculate_activation_statistics
Calculation of the statistics used by the FID. Params: -- images : Numpy array of dimension (n_images, hi, wi, 3). The values
metrics/frechet_inception_distance.py:156
↓ 1 callersFunctioncalculate_fid_given_paths
Calculates the FID of two paths.
metrics/frechet_inception_distance.py:215
↓ 1 callersFunctioncreate_session
(config_dict=dict(), force_as_default=False)
tfutil.py:62
↓ 1 callersFunctionexecute_cmdline
(argv)
dataset_tool.py:844
↓ 1 callersFunctionfiles_gen
(path)
myutil.py:59
↓ 1 callersFunctionfinalize_autosummaries
()
tfutil.py:156
↓ 1 callersFunctionfinalize_descriptors
(desc)
metrics/sliced_wasserstein.py:27
↓ 1 callersMethodfinish
(self)
dataset_tool.py:201
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