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Functions334 in github.com/crazy-bot/VOGUE-Try-On-by-StyleGAN-Interpolation-Optimization

⨍ Functions 334◇ Types & classes 51↳ Endpoints 4
Methodname
(self)
training/dataset.py:111
Functionno_weight_gradients
()
torch_utils/ops/conv2d_gradfix.py:26
Methodnum_channels
(self)
training/dataset.py:119
Methodnum_channels
(self)
training/dataset.py:343
Functionnum_range
Accept either a comma separated list of numbers 'a,b,c or a range 'a-c' and return as a list of ints.
style_mixing_vogue.py:27
Functionnum_range
Accept either a comma separated list of numbers 'a,b,c or a range 'a-c' and return as a list of ints.
style_mixing.py:25
Functionnum_range
Accept either a comma separated list of numbers 'a,b,c' or a range 'a-c' and return as a list of ints.
generate.py:25
Functionopen_url
Download the given URL and return a binary-mode file object to access the data.
dnnlib/util.py:382
Functionparams_and_buffers
(module)
torch_utils/misc.py:152
Functionpost_hook
(mod, _inputs, outputs)
torch_utils/misc.py:209
Functionppl2_wend
(opts)
metrics/metric_main.py:101
Functionppl_wend
(opts)
metrics/metric_main.py:148
Functionppl_wfull
(opts)
metrics/metric_main.py:138
Functionppl_zend
(opts)
metrics/metric_main.py:143
Functionppl_zfull
(opts)
metrics/metric_main.py:133
Functionpr50k3
(opts)
metrics/metric_main.py:127
Functionpr50k3_full
(opts)
metrics/metric_main.py:95
Functionpre_hook
(_mod, _inputs)
torch_utils/misc.py:207
MethodprintDim
(self,temp)
Interpolation/main_latent.py:41
Functionprint_module_summary
(module, inputs, max_nesting=3, skip_redundant=True)
torch_utils/misc.py:199
Functionprofiled_function
(fn)
torch_utils/misc.py:105
Functionregister_metric
(fn)
metrics/metric_main.py:26
Functionreport0
r"""Broadcasts the given set of scalars by the first process (`rank = 0`), but ignores any scalars provided by the other processes. See `repor
torch_utils/training_stats.py:103
Functionreport_metric
(result_dict, run_dir=None, snapshot_pkl=None)
metrics/metric_main.py:67
Methodresolution
(self)
training/dataset.py:124
Functionscale
(width, height, img)
dataset_tool.py:206
Functionset_cache_dir
(path: str)
dnnlib/util.py:120
Functionsetup_filter
r"""Convenience function to setup 2D FIR filter for `upfirdn2d()`. Args: f: Torch tensor, numpy array, or python list of the sh
torch_utils/ops/upfirdn2d.py:72
Methodtrainable_gen
()
training/networks.py:613
Functiontraining_loop
( run_dir = '.', # Output directory. training_set_kwargs = {}, # Option
training/training_loop.py:105
Functiontuple_product
Calculate the product of the tuple elements.
dnnlib/util.py:163
Functionupfirdn2d
torch_utils/ops/upfirdn2d.cpp:16
Functionupsample2d
r"""Upsample a batch of 2D images using the given 2D FIR filter. By default, the result is padded so that its shape is a multiple of the input.
torch_utils/ops/upfirdn2d.py:308
Functionzip_write_bytes
(fname: str, data: Union[bytes, str])
dataset_tool.py:279
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