detecting-the-unexpected
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Unable to run the demo
when I tried to run the demo, I'm getting the following error
> [Traceback (most recent call last):
> File "<string>", line 1, in <module>
> File "<string>", line 1, in <module>
> File "C:\Users\Anaconda3\lib\multiprocessing\spawn.py", line 105, in spawn_main
> File "C:\Users\Anaconda3\lib\multiprocessing\spawn.py", line 105, in spawn_main
> exitcode = _main(fd)
> File "C:\Users\Anaconda3\lib\multiprocessing\spawn.py", line 114, in _main
> exitcode = _main(fd)
> File "C:\Users\Anaconda3\lib\multiprocessing\spawn.py", line 114, in _main
> prepare(preparation_data)
> File "C:\Users\Anaconda3\lib\multiprocessing\spawn.py", line 225, in prepare
> prepare(preparation_data)
> File "C:\Users\Anaconda3\lib\multiprocessing\spawn.py", line 225, in prepare
> _fixup_main_from_path(data['init_main_from_path'])_fixup_main_from_path(data['init_main_from_path'])
>
> File "C:\Users\Anaconda3\lib\multiprocessing\spawn.py", line 277, in _fixup_main_from_path
> File "C:\Users\Anaconda3\lib\multiprocessing\spawn.py", line 277, in _fixup_main_from_path
> run_name="__mp_main__")run_name="__mp_main__")
>
> File "C:\Users\Anaconda3\lib\runpy.py", line 263, in run_path
> File "C:\Users\Anaconda3\lib\runpy.py", line 263, in run_path
> pkg_name=pkg_name, script_name=fname)
> File "C:\Users\Anaconda3\lib\runpy.py", line 96, in _run_module_code
> pkg_name=pkg_name, script_name=fname)
> File "C:\Users\Anaconda3\lib\runpy.py", line 96, in _run_module_code
> mod_name, mod_spec, pkg_name, script_name)
> File "C:\Users\Anaconda3\lib\runpy.py", line 85, in _run_code
> mod_name, mod_spec, pkg_name, script_name)
> File "C:\Users\Anaconda3\lib\runpy.py", line 85, in _run_code
> exec(code, run_globals)
> File "C:\Users\Documents\gan\detecting-the-unexpected\demo.py", line 9, in <module>
> exec(code, run_globals)
> File "C:\Users\Documents\gan\detecting-the-unexpected\demo.py", line 9, in <module>
> joint_pipeline.init_gan()joint_pipeline.init_gan()
>
> File "C:\Users\Documents\gan\detecting-the-unexpected\src\a05_differences\E1_article_evaluation.py", line 556, in init_gan
> File "C:\Users\Documents\gan\detecting-the-unexpected\src\a05_differences\E1_article_evaluation.py", line 556, in init_gan
> self.pix2pix = Pix2PixHD_Generator()
> File "C:\Users\Documents\gan\detecting-the-unexpected\src\a04_reconstruction\experiments.py", line 100, in __init__
> self.pix2pix = Pix2PixHD_Generator()
> File "C:\Users\Documents\gan\detecting-the-unexpected\src\a04_reconstruction\experiments.py", line 100, in __init__
> self.mod_pix2pix = self.load_pix2pixHD_default(variant)
> File "C:\Users\Documents\gan\detecting-the-unexpected\src\a04_reconstruction\experiments.py", line 93, in load_pix2pixHD_default
> self.mod_pix2pix = self.load_pix2pixHD_default(variant)
> File "C:\Users\Documents\gan\detecting-the-unexpected\src\a04_reconstruction\experiments.py", line 93, in load_pix2pixHD_default
> pix2pixHD_module = create_model(opt)
> File "C:\Users\Documents\gan\detecting-the-unexpected\src\a04_reconstruction\pix2pixHD\models\models.py", line 15, in create_model
> pix2pixHD_module = create_model(opt)
> File "C:\Users\Documents\gan\detecting-the-unexpected\src\a04_reconstruction\pix2pixHD\models\models.py", line 15, in create_model
> model.initialize(opt)
> File "C:\Users\Documents\gan\detecting-the-unexpected\src\a04_reconstruction\pix2pixHD\models\pix2pixHD_model.py", line 40, in initialize
> model.initialize(opt)
> File "C:\Users\Documents\gan\detecting-the-unexpected\src\a04_reconstruction\pix2pixHD\models\pix2pixHD_model.py", line 40, in initialize
> opt.n_blocks_local, opt.norm, gpu_ids=self.gpu_ids)
> File "C:\Users\Documents\gan\detecting-the-unexpected\src\a04_reconstruction\pix2pixHD\models\networks.py", line 44, in define_G
> opt.n_blocks_local, opt.norm, gpu_ids=self.gpu_ids)
> File "C:\Users\Documents\gan\detecting-the-unexpected\src\a04_reconstruction\pix2pixHD\models\networks.py", line 44, in define_G
> netG.cuda(gpu_ids[0])
> File "C:\Users\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 304, in cuda
> netG.cuda(gpu_ids[0])
> File "C:\Users\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 304, in cuda
> return self._apply(lambda t: t.cuda(device))
> File "C:\Users\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 201, in _apply
> return self._apply(lambda t: t.cuda(device))
> File "C:\Users\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 201, in _apply
> module._apply(fn)
> module._apply(fn) File "C:\Users\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 201, in _apply
>
> File "C:\Users\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 201, in _apply
> module._apply(fn)
> File "C:\Users\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 201, in _apply
> module._apply(fn)
> File "C:\Users\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 201, in _apply
> module._apply(fn)
> module._apply(fn)
> [Previous line repeated 1 more time]
> File "C:\Users\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 223, in _apply
> [Previous line repeated 1 more time]
> File "C:\Users\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 223, in _apply
> param_applied = fn(param)
> param_applied = fn(param)
> File "C:\Users\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 304, in <lambda>
> File "C:\Users\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 304, in <lambda>
> return self._apply(lambda t: t.cuda(device))
> return self._apply(lambda t: t.cuda(device))
> RuntimeError: CUDA out of memory. Tried to allocate 36.00 MiB (GPU 0; 4.00 GiB total capacity; 563.35 MiB already allocated; 0 bytes free; 592.00 MiB reserved in total by PyTorch)
> RuntimeError: CUDA out of memory. Tried to allocate 36.00 MiB (GPU 0; 4.00 GiB total capacity; 563.35 MiB already allocated; 0 bytes free; 592.00 MiB reserved in total by PyTorch)
> Traceback (most recent call last):
> File "<string>", line 1, in <module>
> File "C:\Users\Anaconda3\lib\multiprocessing\spawn.py", line 105, in spawn_main
> exitcode = _main(fd)
> File "C:\Users\Anaconda3\lib\multiprocessing\spawn.py", line 114, in _main
> prepare(preparation_data)
> File "C:\Users\Anaconda3\lib\multiprocessing\spawn.py", line 225, in prepare
> _fixup_main_from_path(data['init_main_from_path'])
> File "C:\Users\Anaconda3\lib\multiprocessing\spawn.py", line 277, in _fixup_main_from_path
> run_name="__mp_main__")
> File "C:\Users\Anaconda3\lib\runpy.py", line 263, in run_path
> pkg_name=pkg_name, script_name=fname)
> File "C:\Users\Anaconda3\lib\runpy.py", line 96, in _run_module_code
> mod_name, mod_spec, pkg_name, script_name)
> File "C:\Users\Anaconda3\lib\runpy.py", line 85, in _run_code
> exec(code, run_globals)
> File "C:\Users\Documents\gan\detecting-the-unexpected\demo.py", line 9, in <module>
> joint_pipeline.init_gan()
> File "C:\Users\Documents\gan\detecting-the-unexpected\src\a05_differences\E1_article_evaluation.py", line 556, in init_gan
> self.pix2pix = Pix2PixHD_Generator()
> File "C:\Users\Documents\gan\detecting-the-unexpected\src\a04_reconstruction\experiments.py", line 100, in __init__
> self.mod_pix2pix = self.load_pix2pixHD_default(variant)
> File "C:\Users\Documents\gan\detecting-the-unexpected\src\a04_reconstruction\experiments.py", line 93, in load_pix2pixHD_default
> pix2pixHD_module = create_model(opt)
> File "C:\Users\Documents\gan\detecting-the-unexpected\src\a04_reconstruction\pix2pixHD\models\models.py", line 15, in create_model
> model.initialize(opt)
> File "C:\Users\Documents\gan\detecting-the-unexpected\src\a04_reconstruction\pix2pixHD\models\pix2pixHD_model.py", line 40, in initialize
> opt.n_blocks_local, opt.norm, gpu_ids=self.gpu_ids)
> File "C:\Users\Documents\gan\detecting-the-unexpected\src\a04_reconstruction\pix2pixHD\models\networks.py", line 44, in define_G
> netG.cuda(gpu_ids[0])
> File "C:\Users\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 304, in cuda
> return self._apply(lambda t: t.cuda(device))
> File "C:\Users\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 201, in _apply
> module._apply(fn)
> File "C:\Users\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 201, in _apply
> module._apply(fn)
> File "C:\Users\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 201, in _apply
> module._apply(fn)
> [Previous line repeated 1 more time]
> File "C:\Users\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 223, in _apply
> param_applied = fn(param)
> File "C:\Users\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 304, in <lambda>
> return self._apply(lambda t: t.cuda(device))
> RuntimeError: CUDA out of memory. Tried to allocate 36.00 MiB (GPU 0; 4.00 GiB total capacity; 491.35 MiB already allocated; 0 bytes free; 520.00 MiB reserved in total by PyTorch)
> Traceback (most recent call last):
> File "<string>", line 1, in <module>
> File "C:\Users\Anaconda3\lib\multiprocessing\spawn.py", line 105, in spawn_main
> exitcode = _main(fd)
> File "C:\Users\Anaconda3\lib\multiprocessing\spawn.py", line 114, in _main
> prepare(preparation_data)
> File "C:\Users\Anaconda3\lib\multiprocessing\spawn.py", line 225, in prepare
> _fixup_main_from_path(data['init_main_from_path'])
> File "C:\Users\Anaconda3\lib\multiprocessing\spawn.py", line 277, in _fixup_main_from_path
> run_name="__mp_main__")
> File "C:\Users\Anaconda3\lib\runpy.py", line 263, in run_path
> pkg_name=pkg_name, script_name=fname)
> File "C:\Users\Anaconda3\lib\runpy.py", line 96, in _run_module_code
> mod_name, mod_spec, pkg_name, script_name)
> File "C:\Users\Anaconda3\lib\runpy.py", line 85, in _run_code
> exec(code, run_globals)
> File "C:\Users\Documents\gan\detecting-the-unexpected\demo.py", line 9, in <module>
> joint_pipeline.init_gan()
> File "C:\Users\Documents\gan\detecting-the-unexpected\src\a05_differences\E1_article_evaluation.py", line 556, in init_gan
> self.pix2pix = Pix2PixHD_Generator()
> File "C:\Users\Documents\gan\detecting-the-unexpected\src\a04_reconstruction\experiments.py", line 100, in __init__
> self.mod_pix2pix = self.load_pix2pixHD_default(variant)
> File "C:\Users\Documents\gan\detecting-the-unexpected\src\a04_reconstruction\experiments.py", line 93, in load_pix2pixHD_default
> pix2pixHD_module = create_model(opt)
> File "C:\Users\Documents\gan\detecting-the-unexpected\src\a04_reconstruction\pix2pixHD\models\models.py", line 15, in create_model
> model.initialize(opt)
> File "C:\Users\Documents\gan\detecting-the-unexpected\src\a04_reconstruction\pix2pixHD\models\pix2pixHD_model.py", line 40, in initialize
> opt.n_blocks_local, opt.norm, gpu_ids=self.gpu_ids)
> File "C:\Users\Documents\gan\detecting-the-unexpected\src\a04_reconstruction\pix2pixHD\models\networks.py", line 44, in define_G
> netG.cuda(gpu_ids[0])
> File "C:\Users\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 304, in cuda
> return self._apply(lambda t: t.cuda(device))
> File "C:\Users\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 201, in _apply
> module._apply(fn)
> File "C:\Users\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 201, in _apply
> module._apply(fn)
> File "C:\Users\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 201, in _apply
> module._apply(fn)
> [Previous line repeated 1 more time]
> File "C:\Users\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 223, in _apply
> param_applied = fn(param)
> File "C:\Users\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 304, in <lambda>
> return self._apply(lambda t: t.cuda(device))
> RuntimeError: CUDA out of memory. Tried to allocate 36.00 MiB (GPU 0; 4.00 GiB total capacity; 455.34 MiB already allocated; 4.90 MiB free; 484.00 MiB reserved in total by PyTorch)
> Traceback (most recent call last):
> File "C:\Users\Anaconda3\lib\site-packages\torch\utils\data\dataloader.py", line 761, in _try_get_data
> data = self._data_queue.get(timeout=timeout)
> File "C:\Users\Anaconda3\lib\multiprocessing\queues.py", line 105, in get
> raise Empty
> _queue.Empty
>
> During handling of the above exception, another exception occurred:
>
> Traceback (most recent call last):
> File "C:/Users/stanl/Documents/gan/detecting-the-unexpected/demo.py", line 13, in <module>
> joint_pipeline.run_on_dset(dset, b_show=True)
> File "C:\Users\Documents\gan\detecting-the-unexpected\src\a05_differences\E1_article_evaluation.py", line 668, in run_on_dset
> pipe.execute(dset, b_one_batch=True, **exec_kwargs)
> File "C:\Users\Documents\gan\detecting-the-unexpected\src\pipeline\pipeline.py", line 159, in execute
> for loader_item in loader:
> File "C:\Users\Anaconda3\lib\site-packages\torch\utils\data\dataloader.py", line 345, in __next__
> data = self._next_data()
> File "C:\Users\Anaconda3\lib\site-packages\torch\utils\data\dataloader.py", line 841, in _next_data
> idx, data = self._get_data()
> File "C:\Users\Anaconda3\lib\site-packages\torch\utils\data\dataloader.py", line 808, in _get_data
> success, data = self._try_get_data()
> File "C:\Users\Anaconda3\lib\site-packages\torch\utils\data\dataloader.py", line 774, in _try_get_data
> raise RuntimeError('DataLoader worker (pid(s) {}) exited unexpectedly'.format(pids_str))
> RuntimeError: DataLoader worker (pid(s) 12572, 15572, 8680, 10208) exited unexpectedly](url)