How to use fastcut method in autotest

Best Python code snippet using autotest_python

functools_24.py

Source:functools_24.py Github

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...35 for f in fs:36 res = f(res)37 return res38 return composecall39def fastcut(*sargs, **skw):40 try:41 fun = sargs[0]42 except IndexError:43 raise TypeError, 'fastcut requires at least one argument'44 sargs = sargs[1:]45 def fastcutcall(*args, **kw):46 rkw = skw.copy()47 rkw.update(kw)48 return fun(*(sargs + args), **rkw)49 return fastcutcall50for x in __all__:51 globals()['py_%s' % x] = globals()[x]52del x53try:...

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pretrained_launcher.py

Source:pretrained_launcher.py Github

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1from .tmux_launcher import Options, TmuxLauncher2class Launcher(TmuxLauncher):3 def common_options(self):4 return [5 # Command 06 Options(7 # NOTE: download the resized (and compressed) val set from8 # http://efrosgans.eecs.berkeley.edu/CUT/datasets/cityscapes_val_for_CUT.tar9 dataroot="datasets/cityscapes/cityscapes_val/",10 direction="BtoA",11 phase="val",12 name="cityscapes_cut_pretrained",13 CUT_mode="CUT",14 ),15 # Command 116 Options(17 dataroot="./datasets/cityscapes_unaligned/cityscapes/",18 direction="BtoA",19 name="cityscapes_fastcut_pretrained",20 CUT_mode="FastCUT",21 ),22 # Command 223 Options(24 dataroot="./datasets/horse2zebra/",25 name="horse2zebra_cut_pretrained",26 CUT_mode="CUT"27 ),28 # Command 329 Options(30 dataroot="./datasets/horse2zebra/",31 name="horse2zebra_fastcut_pretrained",32 CUT_mode="FastCUT",33 ),34 # Command 435 Options(36 dataroot="./datasets/afhq/cat2dog/",37 name="cat2dog_cut_pretrained",38 CUT_mode="CUT"39 ),40 # Command 541 Options(42 dataroot="./datasets/afhq/cat2dog/",43 name="cat2dog_fastcut_pretrained",44 CUT_mode="FastCUT",45 ),46 47 ]48 def commands(self):49 return ["python train.py " + str(opt) for opt in self.common_options()]50 def test_commands(self):...

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