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Functions1,199 in github.com/XingangPan/DragGAN

⨍ Functions 1,199◇ Types & classes 212↳ Endpoints 11
↓ 2 callersFunctionget_module_from_obj_name
Searches for the underlying module behind the name to some python object. Returns the module and the object name (original name with module part r
dnnlib/util.py:236
↓ 2 callersFunctionget_pil_font
(font=None, size=32)
gui_utils/text_utils.py:29
↓ 2 callersFunctiongrad2_d_dy
(d_dx, d_db, x, y)
stylegan_human/dnnlib/tflib/ops/fused_bias_act.py:151
↓ 2 callersFunctiongrad_db
(dx)
stylegan_human/dnnlib/tflib/ops/fused_bias_act.py:139
↓ 2 callersFunctiongrad_dx
(dy, x, y)
stylegan_human/dnnlib/tflib/ops/fused_bias_act.py:134
↓ 2 callersFunctiongrayed_out
(cond=True)
gui_utils/imgui_utils.py:42
↓ 2 callersMethodinit_mask
(self, w, h)
viz/drag_widget.py:52
↓ 2 callersMethodinit_network
(self, res, pkl = None, w0_seed = 0, w_load = None,
viz/renderer.py:208
↓ 2 callersFunctionis_persistent
r"""Test whether the given object or class is persistent, i.e., whether it will save its source code when pickled.
torch_utils/persistence.py:134
↓ 2 callersFunctionis_persistent
r"""Test whether the given object or class is persistent, i.e., whether it will save its source code when pickled.
stylegan_human/torch_utils/persistence.py:136
↓ 2 callersFunctionis_tf_expression
Check whether the input is a valid Tensorflow expression, i.e., Tensorflow Tensor, Variable, or Operation.
stylegan_human/dnnlib/tflib/tfutil.py:36
↓ 2 callersFunctionlerp
(code1, code2, alpha)
stylegan_human/interpolation.py:22
↓ 2 callersMethodload_inversions
(self, w_path_dir, image_name)
stylegan_human/pti/training/coaches/base_coach.py:71
↓ 2 callersFunctionload_old_G
()
stylegan_human/utils/models_utils.py:24
↓ 2 callersFunctionload_pkl
(file_or_url)
stylegan_human/legacy.py:100
↓ 2 callersFunctionlog_images_from_w
(ws, G, names)
stylegan_human/utils/log_utils.py:21
↓ 2 callersFunctionlogprint
(*args)
stylegan_human/pti/training/projectors/w_plus_projector.py:45
↓ 2 callersFunctionlogprint
(*args)
stylegan_human/pti/training/projectors/w_projector.py:44
↓ 2 callersMethodloss_body
(self, A, B, crop, p1=9000, p2=0.1)
stylegan_human/insetgan.py:87
↓ 2 callersMethodloss_face
(self, A, B, crop, p1=5000, p2=1.75)
stylegan_human/insetgan.py:94
↓ 2 callersMethodloss_reg
(self, w, w_mean, p1, w_plus_delta=None, p2=None)
stylegan_human/insetgan.py:100
↓ 2 callersFunctionmodulated_conv2d
( x, # Input tensor of shape [batch_size, in_channels, in_height, in_width].
stylegan_human/training/networks_stylegan2.py:33
↓ 2 callersFunctionmodulated_conv2d
( x, # Input tensor of shape [batch_size, in_channels, in_height, in_width].
stylegan_human/training_scripts/sg2/training/networks.py:29
↓ 2 callersFunctionmodulated_conv2d
( x, # Input tensor of shape [batch_size, in_channels, in_height, in_width].
stylegan_human/training_scripts/sg3/training/networks_stylegan2.py:34
↓ 2 callersFunctionmodulated_conv2d
( x, # Input tensor of shape [batch_size, in_channels, in_height, in_width].
training/networks_stylegan2.py:33
↓ 2 callersMethodnames
r"""Returns the names of all statistics broadcasted so far that match the regular expression specified at construction time.
torch_utils/training_stats.py:141
↓ 2 callersMethodnames
r"""Returns the names of all statistics broadcasted so far that match the regular expression specified at construction time.
stylegan_human/torch_utils/training_stats.py:143
↓ 2 callersFunctionnan_to_num
(input, nan=0.0, posinf=None, neginf=None, *, out=None)
stylegan_human/torch_utils/misc.py:51
↓ 2 callersFunctionnormalize_2nd_moment
(x, dim=1, eps=1e-8)
stylegan_human/training/networks_stylegan2.py:27
↓ 2 callersFunctionnormalize_2nd_moment
(x, dim=1, eps=1e-8)
stylegan_human/training_scripts/sg2/training/networks.py:23
↓ 2 callersFunctionnormalize_2nd_moment
(x, dim=1, eps=1e-8)
stylegan_human/training_scripts/sg3/training/networks_stylegan2.py:28
↓ 2 callersFunctionnormalize_2nd_moment
(x, dim=1, eps=1e-8)
training/networks_stylegan2.py:27
↓ 2 callersMethodpop_captured_frame
(self)
gui_utils/glfw_window.py:142
↓ 2 callersMethodpostprocess
(self, pred, img, ori_shape, bg)
stylegan_human/PP_HumanSeg/deploy/infer.py:117
↓ 2 callersMethodreset_own_vars
Re-initialize all variables of this network, excluding sub-networks.
stylegan_human/dnnlib/tflib/network.py:189
↓ 2 callersMethodreset_point
(self)
viz/drag_widget.py:73
↓ 2 callersMethodresolve_pkl
(self, pattern)
viz/pickle_widget.py:151
↓ 2 callersMethodrestart_training
(self)
stylegan_human/pti/training/coaches/base_coach.py:44
↓ 2 callersFunctionreverse_point_pairs
(points)
visualizer_drag_gradio.py:32
↓ 2 callersFunctionsave_image
(name, method_type, results_dir, image, run_id)
stylegan_human/utils/log_utils.py:41
↓ 2 callersMethodset_position
(self, x, y)
gui_utils/glfw_window.py:112
↓ 2 callersMethodset_window_size
(self, width, height)
gui_utils/glfw_window.py:99
↓ 2 callersMethodstd
r"""Returns the standard deviation of the scalars that were accumulated for the given statistic between the last two calls to `update(
stylegan_human/torch_utils/training_stats.py:200
↓ 2 callersFunctionsuppress_tracer_warnings
()
torch_utils/misc.py:71
↓ 2 callersMethodto_cpu
(self, buf)
viz/renderer.py:190
↓ 2 callersFunctionvisual
(output, out_path)
stylegan_human/utils/util.py:10
↓ 2 callersMethodwrite
Write text to stdout (and a file) and optionally flush.
dnnlib/util.py:78
↓ 1 callersMethod__enter__
(self)
stylegan_human/dnnlib/util.py:73
↓ 1 callersMethod__getstate__
(self)
stylegan_human/training/dataset.py:75
↓ 1 callersMethod__getstate__
(self)
stylegan_human/training_scripts/sg2/training/dataset.py:81
↓ 1 callersMethod__getstate__
(self)
stylegan_human/training_scripts/sg3/training/dataset.py:84
↓ 1 callersMethod__getstate__
(self)
training/dataset.py:75
↓ 1 callersMethod__init__
(self, name, # Name of the dataset. raw_shape, # Shape of the r
stylegan_human/training/dataset.py:27
↓ 1 callersMethod__init__
(self)
stylegan_human/openpose/src/model.py:25
↓ 1 callersMethod__init__
(self, name, # Name of the dataset. raw_shape, # Shape of the r
stylegan_human/training_scripts/sg2/training/dataset.py:30
↓ 1 callersMethod__init__
(self, name, # Name of the dataset. raw_shape, # Shape of the r
stylegan_human/training_scripts/sg3/training/dataset.py:32
↓ 1 callersMethod__init__
(self, name, # Name of the dataset. raw_shape, # Shape of the r
training/dataset.py:27
↓ 1 callersMethod__init__
(self, *, title='ImguiWindow', font=None, font_sizes=range(14,24), **glfw_kwargs)
gui_utils/imgui_window.py:20
↓ 1 callersMethod__reduce__
(self)
torch_utils/persistence.py:118
↓ 1 callersMethod__reduce__
(self)
stylegan_human/torch_utils/persistence.py:120
↓ 1 callersFunction_bias_act_cuda
Fast CUDA implementation of `bias_act()` using custom ops.
torch_utils/ops/bias_act.py:126
↓ 1 callersFunction_bias_act_cuda
Fast CUDA implementation of `bias_act()` using custom ops.
stylegan_human/torch_utils/ops/bias_act.py:131
↓ 1 callersFunction_bias_act_ref
Slow reference implementation of `bias_act()` using standard TensorFlow ops.
torch_utils/ops/bias_act.py:91
↓ 1 callersFunction_bias_act_ref
Slow reference implementation of `bias_act()` using standard TensorFlow ops.
stylegan_human/torch_utils/ops/bias_act.py:96
↓ 1 callersFunction_check_pickleable
r"""Check that the given object is pickleable, raising an exception if it is not. This function is expected to be considerably more efficient
torch_utils/persistence.py:231
↓ 1 callersFunction_check_pickleable
r"""Check that the given object is pickleable, raising an exception if it is not. This function is expected to be considerably more efficient
stylegan_human/torch_utils/persistence.py:233
↓ 1 callersFunction_filtered_lrelu_ref
Slow and memory-inefficient reference implementation of `filtered_lrelu()` using existing `upfirdn2n()` and `bias_act()` ops.
torch_utils/ops/filtered_lrelu.py:121
↓ 1 callersFunction_filtered_lrelu_ref
Slow and memory-inefficient reference implementation of `filtered_lrelu()` using existing `upfirdn2n()` and `bias_act()` ops.
stylegan_human/torch_utils/ops/filtered_lrelu.py:129
↓ 1 callersFunction_find_compiler_bindir
()
torch_utils/custom_ops.py:29
↓ 1 callersFunction_find_compiler_bindir
()
stylegan_human/dnnlib/tflib/custom_ops.py:38
↓ 1 callersFunction_fused_bias_act_ref
Slow reference implementation of `fused_bias_act()` using standard TensorFlow ops.
stylegan_human/dnnlib/tflib/ops/fused_bias_act.py:74
↓ 1 callersFunction_get_array_impl
(string, *, font=None, size=32, outline=0, outline_pad=3, outline_coef=3, outline_exp=2, line_pad: int=None)
gui_utils/text_utils.py:74
↓ 1 callersFunction_get_array_impl_dropshadow
(string, *, font=None, size=32, radius: int, offset_x: int, offset_y: int, line_pad: int=None, **kwargs)
gui_utils/text_utils.py:96
↓ 1 callersFunction_get_compute_cap
(device)
stylegan_human/dnnlib/tflib/custom_ops.py:44
↓ 1 callersFunction_get_cuda_gpu_arch_string
()
stylegan_human/dnnlib/tflib/custom_ops.py:51
↓ 1 callersFunction_get_mangled_gpu_name
()
torch_utils/custom_ops.py:44
↓ 1 callersFunction_get_mangled_gpu_name
()
stylegan_human/torch_utils/custom_ops.py:45
↓ 1 callersFunction_get_plugin
()
stylegan_human/dnnlib/tflib/ops/fused_bias_act.py:17
↓ 1 callersFunction_handle_legacy_output_transforms
(output_transform, dynamic_kwargs)
stylegan_human/dnnlib/tflib/network.py:557
↓ 1 callersFunction_init
()
torch_utils/ops/filtered_lrelu.py:23
↓ 1 callersFunction_init
()
torch_utils/ops/bias_act.py:38
↓ 1 callersFunction_init
()
torch_utils/ops/upfirdn2d.py:23
↓ 1 callersFunction_init
()
stylegan_human/torch_utils/ops/filtered_lrelu.py:23
↓ 1 callersFunction_init
()
stylegan_human/torch_utils/ops/bias_act.py:43
↓ 1 callersFunction_init
()
stylegan_human/torch_utils/ops/upfirdn2d.py:28
↓ 1 callersMethod_load_raw_image
(self, raw_idx)
stylegan_human/training/dataset.py:69
↓ 1 callersMethod_load_raw_image
(self, raw_idx)
stylegan_human/training/dataset.py:212
↓ 1 callersMethod_load_raw_image
(self, raw_idx)
stylegan_human/training_scripts/sg2/training/dataset.py:75
↓ 1 callersMethod_load_raw_image
(self, raw_idx)
stylegan_human/training_scripts/sg2/training/dataset.py:230
↓ 1 callersMethod_load_raw_image
(self, raw_idx)
stylegan_human/training_scripts/sg3/training/dataset.py:78
↓ 1 callersMethod_load_raw_image
(self, raw_idx)
stylegan_human/training_scripts/sg3/training/dataset.py:234
↓ 1 callersMethod_load_raw_image
(self, raw_idx)
training/dataset.py:69
↓ 1 callersMethod_load_raw_image
(self, raw_idx)
training/dataset.py:212
↓ 1 callersMethod_load_raw_labels
(self)
stylegan_human/training/dataset.py:72
↓ 1 callersMethod_load_raw_labels
(self)
stylegan_human/training_scripts/sg2/training/dataset.py:78
↓ 1 callersMethod_load_raw_labels
(self)
stylegan_human/training_scripts/sg3/training/dataset.py:81
↓ 1 callersMethod_load_raw_labels
(self)
training/dataset.py:72
↓ 1 callersMethod_load_transforms
(self, t_list)
stylegan_human/PP_HumanSeg/deploy/infer.py:57
↓ 1 callersFunction_locate_results
(pattern)
viz/pickle_widget.py:22
↓ 1 callersFunction_module_to_src
r"""Query the source code of a given Python module.
torch_utils/persistence.py:206
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