MCPcopy Create free account

hub / github.com/RameenAbdal/StyleFlow / functions

Functions329 in github.com/RameenAbdal/StyleFlow

⨍ Functions 329◇ Types & classes 48
↓ 1 callersMethodinit_data_points
(self)
main_attribute.py:363
↓ 1 callersMethodinit_data_points
(self)
main.py:309
↓ 1 callersMethodinit_deep_model
(self, opt)
main_attribute.py:108
↓ 1 callersMethodinit_deep_model
(self, opt)
main.py:103
↓ 1 callersMethodinit_screen
(self)
main_attribute.py:117
↓ 1 callersMethodinit_screen
(self)
main.py:114
↓ 1 callersMethodinitialize
(self, parser)
options/base_options.py:10
↓ 1 callersFunctioninvert_slide_to_real
(name, slide_value)
ui/ui2.py:64
↓ 1 callersFunctioninvert_slide_to_real
(name, slide_value)
ui/ui.py:61
↓ 1 callersFunctionis_top_level_function
Determine whether the given object is a top-level function, i.e., defined at module scope using 'def'.
dnnlib/util.py:265
↓ 1 callersFunctionis_url
Determine whether the given object is a valid URL string.
dnnlib/util.py:328
↓ 1 callersFunctionlight_invert_slide_to_real
(name, slide_value)
ui/ui2.py:72
↓ 1 callersFunctionlight_invert_slide_to_real
(name, slide_value)
ui/ui.py:69
↓ 1 callersMethodlist_layers
Returns a list of (layer_name, output_expr, trainable_vars) tuples corresponding to individual layers of the network. Mainly intended to be us
dnnlib/tflib/network.py:463
↓ 1 callersMethodlist_ops
(self)
dnnlib/tflib/network.py:455
↓ 1 callersFunctionmain
()
run_generator.py:119
↓ 1 callersMethodnum_evals
(self)
module/cnf.py:121
↓ 1 callersMethodprint_options
(self, opt)
options/base_options.py:40
↓ 1 callersMethodreal_time_editing
(self, attr_index, raw_slide_value)
main.py:252
↓ 1 callersMethodreal_time_lighting
(self, light_index, raw_slide_value)
main.py:221
↓ 1 callersMethodreset_optimizer_state
Reset internal state of the underlying optimizer.
dnnlib/tflib/optimizer.py:266
↓ 1 callersMethodreset_parameters
(self)
module/normalization.py:33
↓ 1 callersFunctionrun_wrapper
Wrap the actual run function call for handling logging, exceptions, typing, etc.
dnnlib/submission/submit.py:256
↓ 1 callersFunctionset_vars
Set the values of given tf.Variables. Equivalent to the following, but more efficient and does not bloat the tf graph: tflib.run([tf.assign(v
dnnlib/tflib/tfutil.py:194
↓ 1 callersMethodsetupUi
(self, Form)
ui/ui2.py:78
↓ 1 callersMethodshowImage
(self, point)
ui/mouse_event2.py:81
↓ 1 callersMethodshowImage
(self, point)
ui/mouse_event.py:61
↓ 1 callersMethodshowReferenceImage
(self, point)
ui/mouse_event2.py:94
↓ 1 callersFunctionstandard_normal_logprob
(z)
train_flow.py:20
↓ 1 callersMethodsubmit
(self, submit_config, host_run_dir)
dnnlib/submission/internal/local.py:19
↓ 1 callersFunctiontransfer_real_to_slide
(name, real_value)
ui/ui.py:58
↓ 1 callersMethodundo_loss_scaling
Undo the effect of dynamic loss scaling for the given expression.
dnnlib/tflib/optimizer.py:282
↓ 1 callersMethodupdate
(self, val, n=1)
module/utils.py:30
↓ 1 callersMethodupdate_Reference_scene_image
(self)
main_attribute.py:199
↓ 1 callersMethodupdate_scene_image
(self)
main_attribute.py:125
↓ 1 callersFunctionupfirdn_2d
r"""Pad, upsample, FIR filter, and downsample a batch of 2D images. Accepts a batch of 2D images of the shape `[majorDim, inH, inW, minorDim]`
dnnlib/tflib/ops/upfirdn_2d.py:19
↓ 1 callersFunctionvalidate_classification
(loaders, model, args)
module/utils.py:169
↓ 1 callersFunctionvalidate_conditioned
(loader, model, args, max_samples=None, save_dir=None)
module/utils.py:210
↓ 1 callersFunctionvalidate_sample
(loader, model, args, max_samples=None, save_dir=None)
module/utils.py:265
↓ 1 callersMethodvariables
(self)
dnnlib/tflib/optimizer.py:301
↓ 1 callersMethodwrite
Write text to stdout (and a file) and optionally flush.
dnnlib/util.py:73
FunctionAlign_face_image
(src_file, output_size=1024, transform_size=4096, enable_padding=True)
utils.py:21
Method__call__
(self, module)
module/flow.py:12
Method__call__
(self, module)
module/flow.py:31
Method__delattr__
(self, name: str)
dnnlib/util.py:47
Method__enter__
(self)
dnnlib/util.py:67
Method__exit__
(self, exc_type: Any, exc_value: Any, traceback: Any)
dnnlib/util.py:70
Method__exit__
(self, exc_type: Any, exc_value: Any, traceback: Any)
dnnlib/submission/run_context.py:60
Method__getattr__
(self, name: str)
dnnlib/util.py:38
Method__getitem__
(self, index)
train_flow.py:32
Method__getstate__
Pickle export.
dnnlib/tflib/network.py:255
Method__init__
(self, opt)
utils.py:191
Method__init__
(self, opt)
main_attribute.py:37
Method__init__
(self, opt)
main.py:38
Method__init__
(self, latents, attributes, transform=None)
train_flow.py:27
Method__init__
(self)
module/flow.py:9
Method__init__
(self)
module/flow.py:28
Method__init__
(self, f)
module/odefunc.py:40
Method__init__
(self, hidden_dims, input_shape, context_dim, layer_type="concat", nonlinearity="softplus")
module/odefunc.py:64
Method__init__
(self, diffeq)
module/odefunc.py:105
Method__init__
(self)
module/utils.py:18
Method__init__
(self, dim_in, dim_out, dim_c)
module/diffeq_layers.py:14
Method__init__
(self, dim_in, dim_out, dim_c)
module/diffeq_layers.py:23
Method__init__
(self, dim_in, dim_out, dim_c)
module/diffeq_layers.py:35
Method__init__
(self, dim_in, dim_out, dim_c)
module/diffeq_layers.py:48
Method__init__
(self, dim_in, dim_out, dim_c)
module/diffeq_layers.py:74
Method__init__
(self, dim_in, dim_out, dim_c)
module/diffeq_layers.py:91
Method__init__
(self, num_features, eps=1e-4, decay=0.1, bn_lag=0., affine=True, sync=False)
module/normalization.py:10
Method__init__
(self, layer_list)
module/cnf.py:12
Method__init__
(self)
options/base_options.py:7
Method__init__
(self, file_name: str = None, file_mode: str = "w", should_flush: bool = True)
dnnlib/util.py:54
Method__init__
(self, name: str = None, func_name: Any = None, **static_kwargs)
dnnlib/tflib/network.py:73
Method__init__
(self, name: str = "Train", # Name string that will app
dnnlib/tflib/optimizer.py:40
Method__init__
(self, name="Adam", learning_rate=0.001, beta1=0.9, beta2=0.999, epsilon=1e-8)
dnnlib/tflib/optimizer.py:293
Method__init__
(self, submit_config: submit.SubmitConfig, config_module: types.ModuleType = None)
dnnlib/submission/run_context.py:35
Method__init__
(self)
dnnlib/submission/submit.py:57
Method__init__
(self)
dnnlib/submission/submit.py:87
Method__init__
(self)
dnnlib/submission/internal/local.py:8
Method__init__
(self)
dnnlib/submission/internal/local.py:12
Method__init__
(self, Parent)
ui/mouse_event2.py:11
Method__init__
(self, Form)
ui/GT_mouse_event.py:10
Method__init__
(self, Parent)
ui/mouse_event.py:11
Method__init__
(self, Form)
ui/real_time_light_thread.py:18
Method__init__
(self, Form)
ui/real_time_attr_thread.py:18
Method__len__
(self)
train_flow.py:43
Method__repr__
(self)
module/normalization.py:118
Method__setattr__
(self, name: str, value: Any)
dnnlib/util.py:44
Method__setstate__
Pickle import.
dnnlib/tflib/network.py:267
Function_fused_bias_act_cuda
Fast CUDA implementation of `fused_bias_act()` using custom ops.
dnnlib/tflib/ops/fused_bias_act.py:100
Function_legacy_output_transform_func
(*expr, out_mul=1.0, out_add=0.0, out_shrink=1, out_dtype=None)
dnnlib/tflib/network.py:575
Function_parse_num_range
Accept either a comma separated list of numbers 'a,b,c' or a range 'a-c' and return as a list of ints.
run_generator.py:90
Function_upfirdn_2d_cuda
Fast CUDA implementation of `upfirdn_2d()` using custom ops.
dnnlib/tflib/ops/upfirdn_2d.py:105
Function_upfirdn_2d_ref
Slow reference implementation of `upfirdn_2d()` using standard TensorFlow ops.
dnnlib/tflib/ops/upfirdn_2d.py:66
Functionabsolute_variable_scope
Forcefully enter the specified variable scope, ignoring any surrounding scopes.
dnnlib/tflib/tfutil.py:79
Methodadd_lighting_widgets
(self,Form)
ui/ui2.py:328
Functionapply_random_rotation
(pc, rot_axis=1)
module/utils.py:133
Methodapply_updates
Construct training op to update the registered variables based on their gradients.
dnnlib/tflib/optimizer.py:156
Functionask_yes_no
Ask the user the question until the user inputs a valid answer.
dnnlib/util.py:125
Functionautosummary
Create a new autosummary. Args: name: Name to use in TensorBoard value: TensorFlow expression or python value to track
dnnlib/tflib/autosummary.py:77
Functionbernoulli_log_likelihood
(x, p, clip=True, eps=1e-6)
module/utils.py:46
← previousnext →101–200 of 329, ranked by callers