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function：【load_image】,runtime：【0.06927204132080078】s 2024-03-27 13:31:56,279 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0771634578704834】s 2024-03-27 13:31:56,279 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0771634578704834】s 2024-03-27 13:31:56,372 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07645511627197266】s 2024-03-27 13:31:56,372 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07645511627197266】s 2024-03-27 13:31:56,460 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0690762996673584】s 2024-03-27 13:31:56,460 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0690762996673584】s 2024-03-27 13:31:56,542 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06473708152770996】s 2024-03-27 13:31:56,542 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06473708152770996】s 2024-03-27 13:31:56,631 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07141780853271484】s 2024-03-27 13:31:56,631 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07141780853271484】s 2024-03-27 13:31:56,706 decorator.py [line:11] INFO function：【load_image】,runtime：【0.057878732681274414】s 2024-03-27 13:31:56,706 decorator.py [line:11] INFO function：【load_image】,runtime：【0.057878732681274414】s 2024-03-27 13:31:56,767 api_outfit_matcher.py [line:46] WARNING [400] PyTorch execute failure: The following operation failed in the TorchScript interpreter. Traceback of TorchScript, serialized code (most recent call last): File "code/__torch__/fcm/models/main_model/type_aware_net.py", line 12025, in forward _4505 = int(_4504) _4506 = ops.prim.NumToTensor(torch.size(images, 1)) _4507 = torch.view(_1, [_4505, int(_4506), -1]) ~~~~~~~~~~ <--- HERE _4508 = torch.slice(_4507, 0, 0, 9223372036854775807) _4509 = torch.slice(torch.select(_4508, 1, 0), 1, 0, 9223372036854775807) Traceback of TorchScript, original code (most recent call last): D:\PhD_Study\second paper\OutfitMatcher\fcm\models\main_model\type_aware_net.py(81): forward C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\nn\modules\module.py(1488): _slow_forward C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\nn\modules\module.py(1501): _call_impl C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\jit\_trace.py(1056): trace_module C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\jit\_trace.py(794): trace D:\PhD_Study\second paper\OutfitMatcher\tools\pytorch2torchscript.py(68): pytorch2libtorch D:\PhD_Study\second paper\OutfitMatcher\tools\pytorch2torchscript.py(128): C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\_pydev_imps\_pydev_execfile.py(18): execfile C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(1500): _exec C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(1493): run C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(2181): main C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(2199): RuntimeError: shape '[5, 3, -1]' is invalid for input of size 704 2024-03-27 13:31:56,767 api_outfit_matcher.py [line:46] WARNING [400] PyTorch execute failure: The following operation failed in the TorchScript interpreter. Traceback of TorchScript, serialized code (most recent call last): File "code/__torch__/fcm/models/main_model/type_aware_net.py", line 12025, in forward _4505 = int(_4504) _4506 = ops.prim.NumToTensor(torch.size(images, 1)) _4507 = torch.view(_1, [_4505, int(_4506), -1]) ~~~~~~~~~~ <--- HERE _4508 = torch.slice(_4507, 0, 0, 9223372036854775807) _4509 = torch.slice(torch.select(_4508, 1, 0), 1, 0, 9223372036854775807) Traceback of TorchScript, original code (most recent call last): D:\PhD_Study\second paper\OutfitMatcher\fcm\models\main_model\type_aware_net.py(81): forward C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\nn\modules\module.py(1488): _slow_forward C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\nn\modules\module.py(1501): _call_impl C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\jit\_trace.py(1056): trace_module C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\jit\_trace.py(794): trace D:\PhD_Study\second paper\OutfitMatcher\tools\pytorch2torchscript.py(68): pytorch2libtorch D:\PhD_Study\second paper\OutfitMatcher\tools\pytorch2torchscript.py(128): C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\_pydev_imps\_pydev_execfile.py(18): execfile C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(1500): _exec C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(1493): run C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(2181): main C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(2199): RuntimeError: shape '[5, 3, -1]' is invalid for input of size 704 2024-03-27 13:32:15,772 decorator.py [line:11] INFO function：【load_image】,runtime：【0.12557196617126465】s 2024-03-27 13:32:15,772 decorator.py [line:11] INFO function：【load_image】,runtime：【0.12557196617126465】s 2024-03-27 13:32:15,867 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0776052474975586】s 2024-03-27 13:32:15,867 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0776052474975586】s 2024-03-27 13:32:36,283 decorator.py [line:11] INFO function：【get_result】,runtime：【19.695392847061157】s 2024-03-27 13:32:36,283 decorator.py [line:11] INFO function：【get_result】,runtime：【19.695392847061157】s 2024-03-27 13:32:39,885 decorator.py [line:11] INFO function：【load_image】,runtime：【0.10496735572814941】s 2024-03-27 13:32:39,885 decorator.py [line:11] INFO function：【load_image】,runtime：【0.10496735572814941】s 2024-03-27 13:32:39,961 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0580439567565918】s 2024-03-27 13:32:39,961 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0580439567565918】s 2024-03-27 13:32:40,049 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07145905494689941】s 2024-03-27 13:32:40,049 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07145905494689941】s 2024-03-27 13:32:40,128 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06016206741333008】s 2024-03-27 13:32:40,128 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06016206741333008】s 2024-03-27 13:32:40,217 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07137513160705566】s 2024-03-27 13:32:40,217 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07137513160705566】s 2024-03-27 13:32:40,302 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06730365753173828】s 2024-03-27 13:32:40,302 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06730365753173828】s 2024-03-27 13:32:40,391 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07237100601196289】s 2024-03-27 13:32:40,391 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07237100601196289】s 2024-03-27 13:32:40,467 decorator.py [line:11] INFO function：【load_image】,runtime：【0.05928659439086914】s 2024-03-27 13:32:40,467 decorator.py [line:11] INFO function：【load_image】,runtime：【0.05928659439086914】s 2024-03-27 13:32:40,555 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07037734985351562】s 2024-03-27 13:32:40,555 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07037734985351562】s 2024-03-27 13:32:40,630 decorator.py [line:11] INFO function：【load_image】,runtime：【0.05862092971801758】s 2024-03-27 13:32:40,630 decorator.py [line:11] INFO function：【load_image】,runtime：【0.05862092971801758】s 2024-03-27 13:32:40,714 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06795549392700195】s 2024-03-27 13:32:40,714 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06795549392700195】s 2024-03-27 13:32:59,944 api_outfit_matcher.py [line:46] WARNING [400] PyTorch execute failure: The following operation failed in the TorchScript interpreter. Traceback of TorchScript, serialized code (most recent call last): File "code/__torch__/fcm/models/main_model/type_aware_net.py", line 12025, in forward _4505 = int(_4504) _4506 = ops.prim.NumToTensor(torch.size(images, 1)) _4507 = torch.view(_1, [_4505, int(_4506), -1]) ~~~~~~~~~~ <--- HERE _4508 = torch.slice(_4507, 0, 0, 9223372036854775807) _4509 = torch.slice(torch.select(_4508, 1, 0), 1, 0, 9223372036854775807) Traceback of TorchScript, original code (most recent call last): D:\PhD_Study\second paper\OutfitMatcher\fcm\models\main_model\type_aware_net.py(81): forward C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\nn\modules\module.py(1488): _slow_forward C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\nn\modules\module.py(1501): _call_impl C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\jit\_trace.py(1056): trace_module C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\jit\_trace.py(794): trace D:\PhD_Study\second paper\OutfitMatcher\tools\pytorch2torchscript.py(68): pytorch2libtorch D:\PhD_Study\second paper\OutfitMatcher\tools\pytorch2torchscript.py(128): C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\_pydev_imps\_pydev_execfile.py(18): execfile C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(1500): _exec C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(1493): run C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(2181): main C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(2199): RuntimeError: shape '[5, 3, -1]' is invalid for input of size 704 2024-03-27 13:32:59,944 api_outfit_matcher.py [line:46] WARNING [400] PyTorch execute failure: The following operation failed in the TorchScript interpreter. Traceback of TorchScript, serialized code (most recent call last): File "code/__torch__/fcm/models/main_model/type_aware_net.py", line 12025, in forward _4505 = int(_4504) _4506 = ops.prim.NumToTensor(torch.size(images, 1)) _4507 = torch.view(_1, [_4505, int(_4506), -1]) ~~~~~~~~~~ <--- HERE _4508 = torch.slice(_4507, 0, 0, 9223372036854775807) _4509 = torch.slice(torch.select(_4508, 1, 0), 1, 0, 9223372036854775807) Traceback of TorchScript, original code (most recent call last): D:\PhD_Study\second paper\OutfitMatcher\fcm\models\main_model\type_aware_net.py(81): forward C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\nn\modules\module.py(1488): _slow_forward C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\nn\modules\module.py(1501): _call_impl C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\jit\_trace.py(1056): trace_module C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\jit\_trace.py(794): trace D:\PhD_Study\second paper\OutfitMatcher\tools\pytorch2torchscript.py(68): pytorch2libtorch D:\PhD_Study\second paper\OutfitMatcher\tools\pytorch2torchscript.py(128): C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\_pydev_imps\_pydev_execfile.py(18): execfile C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(1500): _exec C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(1493): run C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(2181): main C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(2199): RuntimeError: shape '[5, 3, -1]' is invalid for input of size 704 2024-03-27 13:33:43,337 decorator.py [line:11] INFO function：【load_image】,runtime：【0.14627313613891602】s 2024-03-27 13:33:43,337 decorator.py [line:11] INFO function：【load_image】,runtime：【0.14627313613891602】s 2024-03-27 13:33:43,461 decorator.py [line:11] INFO function：【load_image】,runtime：【0.1029977798461914】s 2024-03-27 13:33:43,461 decorator.py [line:11] INFO function：【load_image】,runtime：【0.1029977798461914】s 2024-03-27 13:33:59,429 decorator.py [line:11] INFO function：【get_result】,runtime：【16.2382390499115】s 2024-03-27 13:33:59,429 decorator.py [line:11] INFO function：【get_result】,runtime：【16.2382390499115】s 2024-03-27 13:34:10,372 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08557796478271484】s 2024-03-27 13:34:10,372 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08557796478271484】s 2024-03-27 13:34:10,453 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06261587142944336】s 2024-03-27 13:34:10,453 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06261587142944336】s 2024-03-27 13:34:10,545 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07466697692871094】s 2024-03-27 13:34:10,545 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07466697692871094】s 2024-03-27 13:34:10,631 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0677337646484375】s 2024-03-27 13:34:10,631 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0677337646484375】s 2024-03-27 13:34:10,720 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06990265846252441】s 2024-03-27 13:34:10,720 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06990265846252441】s 2024-03-27 13:34:10,797 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06044435501098633】s 2024-03-27 13:34:10,797 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06044435501098633】s 2024-03-27 13:34:10,886 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0711050033569336】s 2024-03-27 13:34:10,886 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0711050033569336】s 2024-03-27 13:34:10,959 decorator.py [line:11] INFO function：【load_image】,runtime：【0.05511355400085449】s 2024-03-27 13:34:10,959 decorator.py [line:11] INFO function：【load_image】,runtime：【0.05511355400085449】s 2024-03-27 13:34:11,048 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07124543190002441】s 2024-03-27 13:34:11,048 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07124543190002441】s 2024-03-27 13:34:11,136 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07120442390441895】s 2024-03-27 13:34:11,136 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07120442390441895】s 2024-03-27 13:34:18,491 decorator.py [line:11] INFO function：【get_result】,runtime：【8.2043616771698】s 2024-03-27 13:34:18,491 decorator.py [line:11] INFO function：【get_result】,runtime：【8.2043616771698】s 2024-03-27 13:34:25,870 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07835936546325684】s 2024-03-27 13:34:25,870 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07835936546325684】s 2024-03-27 13:34:25,958 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0702660083770752】s 2024-03-27 13:34:25,958 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0702660083770752】s 2024-03-27 13:34:26,989 decorator.py [line:11] INFO function：【get_result】,runtime：【1.1981890201568604】s 2024-03-27 13:34:26,989 decorator.py [line:11] INFO function：【get_result】,runtime：【1.1981890201568604】s 2024-03-27 13:34:32,613 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0731658935546875】s 2024-03-27 13:34:32,613 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0731658935546875】s 2024-03-27 13:34:32,701 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07103252410888672】s 2024-03-27 13:34:32,701 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07103252410888672】s 2024-03-27 13:34:33,431 decorator.py [line:11] INFO function：【get_result】,runtime：【0.8910684585571289】s 2024-03-27 13:34:33,431 decorator.py [line:11] INFO function：【get_result】,runtime：【0.8910684585571289】s 2024-03-27 13:34:40,859 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06885647773742676】s 2024-03-27 13:34:40,859 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06885647773742676】s 2024-03-27 13:34:40,949 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0716407299041748】s 2024-03-27 13:34:40,949 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0716407299041748】s 2024-03-27 13:34:41,763 decorator.py [line:11] INFO function：【get_result】,runtime：【0.9724898338317871】s 2024-03-27 13:34:41,763 decorator.py [line:11] INFO function：【get_result】,runtime：【0.9724898338317871】s 2024-03-27 13:34:46,008 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07497215270996094】s 2024-03-27 13:34:46,008 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07497215270996094】s 2024-03-27 13:34:46,097 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07019209861755371】s 2024-03-27 13:34:46,097 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07019209861755371】s 2024-03-27 13:34:46,177 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06341028213500977】s 2024-03-27 13:34:46,177 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06341028213500977】s 2024-03-27 13:34:46,269 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07452797889709473】s 2024-03-27 13:34:46,269 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07452797889709473】s 2024-03-27 13:34:46,355 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06654644012451172】s 2024-03-27 13:34:46,355 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06654644012451172】s 2024-03-27 13:34:47,260 api_outfit_matcher.py [line:46] WARNING [400] PyTorch execute failure: The following operation failed in the TorchScript interpreter. Traceback of TorchScript, serialized code (most recent call last): File "code/__torch__/fcm/models/main_model/type_aware_net.py", line 12025, in forward _4505 = int(_4504) _4506 = ops.prim.NumToTensor(torch.size(images, 1)) _4507 = torch.view(_1, [_4505, int(_4506), -1]) ~~~~~~~~~~ <--- HERE _4508 = torch.slice(_4507, 0, 0, 9223372036854775807) _4509 = torch.slice(torch.select(_4508, 1, 0), 1, 0, 9223372036854775807) Traceback of TorchScript, original code (most recent call last): D:\PhD_Study\second paper\OutfitMatcher\fcm\models\main_model\type_aware_net.py(81): forward C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\nn\modules\module.py(1488): _slow_forward C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\nn\modules\module.py(1501): _call_impl C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\jit\_trace.py(1056): trace_module C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\jit\_trace.py(794): trace D:\PhD_Study\second paper\OutfitMatcher\tools\pytorch2torchscript.py(68): pytorch2libtorch D:\PhD_Study\second paper\OutfitMatcher\tools\pytorch2torchscript.py(128): C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\_pydev_imps\_pydev_execfile.py(18): execfile C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(1500): _exec C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(1493): run C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(2181): main C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(2199): RuntimeError: shape '[2, 3, -1]' is invalid for input of size 320 2024-03-27 13:34:47,260 api_outfit_matcher.py [line:46] WARNING [400] PyTorch execute failure: The following operation failed in the TorchScript interpreter. Traceback of TorchScript, serialized code (most recent call last): File "code/__torch__/fcm/models/main_model/type_aware_net.py", line 12025, in forward _4505 = int(_4504) _4506 = ops.prim.NumToTensor(torch.size(images, 1)) _4507 = torch.view(_1, [_4505, int(_4506), -1]) ~~~~~~~~~~ <--- HERE _4508 = torch.slice(_4507, 0, 0, 9223372036854775807) _4509 = torch.slice(torch.select(_4508, 1, 0), 1, 0, 9223372036854775807) Traceback of TorchScript, original code (most recent call last): D:\PhD_Study\second paper\OutfitMatcher\fcm\models\main_model\type_aware_net.py(81): forward C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\nn\modules\module.py(1488): _slow_forward C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\nn\modules\module.py(1501): _call_impl C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\jit\_trace.py(1056): trace_module C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\jit\_trace.py(794): trace D:\PhD_Study\second paper\OutfitMatcher\tools\pytorch2torchscript.py(68): pytorch2libtorch D:\PhD_Study\second paper\OutfitMatcher\tools\pytorch2torchscript.py(128): C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\_pydev_imps\_pydev_execfile.py(18): execfile C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(1500): _exec C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(1493): run C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(2181): main C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(2199): RuntimeError: shape '[2, 3, -1]' is invalid for input of size 320 2024-03-27 13:54:49,395 decorator.py [line:11] INFO function：【load_image】,runtime：【0.14566850662231445】s 2024-03-27 13:54:49,395 decorator.py [line:11] INFO function：【load_image】,runtime：【0.14566850662231445】s 2024-03-27 13:54:49,502 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08782744407653809】s 2024-03-27 13:54:49,502 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08782744407653809】s 2024-03-27 13:54:49,597 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07923293113708496】s 2024-03-27 13:54:49,597 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07923293113708496】s 2024-03-27 13:54:49,695 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07961916923522949】s 2024-03-27 13:54:49,695 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07961916923522949】s 2024-03-27 13:54:49,795 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0831143856048584】s 2024-03-27 13:54:49,795 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0831143856048584】s 2024-03-27 13:54:59,153 api_outfit_matcher.py [line:46] WARNING [400] PyTorch execute failure: The following operation failed in the TorchScript interpreter. Traceback of TorchScript, serialized code (most recent call last): File "code/__torch__/fcm/models/main_model/type_aware_net.py", line 12025, in forward _4505 = int(_4504) _4506 = ops.prim.NumToTensor(torch.size(images, 1)) _4507 = torch.view(_1, [_4505, int(_4506), -1]) ~~~~~~~~~~ <--- HERE _4508 = torch.slice(_4507, 0, 0, 9223372036854775807) _4509 = torch.slice(torch.select(_4508, 1, 0), 1, 0, 9223372036854775807) Traceback of TorchScript, original code (most recent call last): D:\PhD_Study\second paper\OutfitMatcher\fcm\models\main_model\type_aware_net.py(81): forward C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\nn\modules\module.py(1488): _slow_forward C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\nn\modules\module.py(1501): _call_impl C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\jit\_trace.py(1056): trace_module C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\jit\_trace.py(794): trace D:\PhD_Study\second paper\OutfitMatcher\tools\pytorch2torchscript.py(68): pytorch2libtorch D:\PhD_Study\second paper\OutfitMatcher\tools\pytorch2torchscript.py(128): C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\_pydev_imps\_pydev_execfile.py(18): execfile C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(1500): _exec C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(1493): run C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(2181): main C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(2199): RuntimeError: shape '[2, 3, -1]' is invalid for input of size 320 2024-03-27 13:54:59,153 api_outfit_matcher.py [line:46] WARNING [400] PyTorch execute failure: The following operation failed in the TorchScript interpreter. Traceback of TorchScript, serialized code (most recent call last): File "code/__torch__/fcm/models/main_model/type_aware_net.py", line 12025, in forward _4505 = int(_4504) _4506 = ops.prim.NumToTensor(torch.size(images, 1)) _4507 = torch.view(_1, [_4505, int(_4506), -1]) ~~~~~~~~~~ <--- HERE _4508 = torch.slice(_4507, 0, 0, 9223372036854775807) _4509 = torch.slice(torch.select(_4508, 1, 0), 1, 0, 9223372036854775807) Traceback of TorchScript, original code (most recent call last): D:\PhD_Study\second paper\OutfitMatcher\fcm\models\main_model\type_aware_net.py(81): forward C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\nn\modules\module.py(1488): _slow_forward C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\nn\modules\module.py(1501): _call_impl C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\jit\_trace.py(1056): trace_module C:\Users\pkc\.conda\envs\llava\lib\site-packages\torch\jit\_trace.py(794): trace D:\PhD_Study\second paper\OutfitMatcher\tools\pytorch2torchscript.py(68): pytorch2libtorch D:\PhD_Study\second paper\OutfitMatcher\tools\pytorch2torchscript.py(128): C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\_pydev_imps\_pydev_execfile.py(18): execfile C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(1500): _exec C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(1493): run C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(2181): main C:\Program Files\JetBrains\PyCharm 2023.2.3\plugins\python\helpers\pydev\pydevd.py(2199): RuntimeError: shape '[2, 3, -1]' is invalid for input of size 320 2024-03-27 13:58:20,340 decorator.py [line:11] INFO function：【load_image】,runtime：【0.1419973373413086】s 2024-03-27 13:58:20,340 decorator.py [line:11] INFO function：【load_image】,runtime：【0.1419973373413086】s 2024-03-27 13:58:20,442 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08225560188293457】s 2024-03-27 13:58:20,442 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08225560188293457】s 2024-03-27 13:58:22,899 decorator.py [line:11] INFO function：【get_result】,runtime：【2.701899528503418】s 2024-03-27 13:58:22,899 decorator.py [line:11] INFO function：【get_result】,runtime：【2.701899528503418】s 2024-03-27 13:58:27,827 decorator.py [line:11] INFO function：【load_image】,runtime：【0.09511446952819824】s 2024-03-27 13:58:27,827 decorator.py [line:11] INFO function：【load_image】,runtime：【0.09511446952819824】s 2024-03-27 13:58:27,920 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0761256217956543】s 2024-03-27 13:58:27,920 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0761256217956543】s 2024-03-27 13:58:28,015 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0797882080078125】s 2024-03-27 13:58:28,015 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0797882080078125】s 2024-03-27 13:58:28,102 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0706169605255127】s 2024-03-27 13:58:28,102 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0706169605255127】s 2024-03-27 13:58:28,203 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0837099552154541】s 2024-03-27 13:58:28,203 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0837099552154541】s 2024-03-27 13:58:28,277 decorator.py [line:11] INFO function：【load_image】,runtime：【0.058257102966308594】s 2024-03-27 13:58:28,277 decorator.py [line:11] INFO function：【load_image】,runtime：【0.058257102966308594】s 2024-03-27 13:58:28,373 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07945060729980469】s 2024-03-27 13:58:28,373 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07945060729980469】s 2024-03-27 13:58:28,449 decorator.py [line:11] INFO function：【load_image】,runtime：【0.05907869338989258】s 2024-03-27 13:58:28,449 decorator.py [line:11] INFO function：【load_image】,runtime：【0.05907869338989258】s 2024-03-27 13:58:28,535 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06852412223815918】s 2024-03-27 13:58:28,535 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06852412223815918】s 2024-03-27 13:58:28,612 decorator.py [line:11] INFO function：【load_image】,runtime：【0.059185028076171875】s 2024-03-27 13:58:28,612 decorator.py [line:11] INFO function：【load_image】,runtime：【0.059185028076171875】s 2024-03-27 13:58:28,696 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06656241416931152】s 2024-03-27 13:58:28,696 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06656241416931152】s 2024-03-27 13:58:30,848 api_outfit_matcher.py [line:46] WARNING [400] PyTorch execute failure: The following operation failed in the TorchScript interpreter. Traceback of TorchScript (most recent call last): File "code/__torch__/fcm/models/main_model/type_aware_net.py", line 12025, in forward _4505 = int(_4504) _4506 = ops.prim.NumToTensor(torch.size(images, 1)) _4507 = torch.view(_1, [_4505, int(_4506), -1]) ~~~~~~~~~~ <--- HERE _4508 = torch.slice(_4507, 0, 0, 9223372036854775807) _4509 = torch.slice(torch.select(_4508, 1, 0), 1, 0, 9223372036854775807) RuntimeError: shape '[5, 3, -1]' is invalid for input of size 704 2024-03-27 13:58:30,848 api_outfit_matcher.py [line:46] WARNING [400] PyTorch execute failure: The following operation failed in the TorchScript interpreter. Traceback of TorchScript (most recent call last): File "code/__torch__/fcm/models/main_model/type_aware_net.py", line 12025, in forward _4505 = int(_4504) _4506 = ops.prim.NumToTensor(torch.size(images, 1)) _4507 = torch.view(_1, [_4505, int(_4506), -1]) ~~~~~~~~~~ <--- HERE _4508 = torch.slice(_4507, 0, 0, 9223372036854775807) _4509 = torch.slice(torch.select(_4508, 1, 0), 1, 0, 9223372036854775807) RuntimeError: shape '[5, 3, -1]' is invalid for input of size 704 2024-03-27 13:58:44,145 decorator.py [line:11] INFO function：【load_image】,runtime：【0.10509109497070312】s 2024-03-27 13:58:44,145 decorator.py [line:11] INFO function：【load_image】,runtime：【0.10509109497070312】s 2024-03-27 13:58:44,241 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07898759841918945】s 2024-03-27 13:58:44,241 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07898759841918945】s 2024-03-27 13:58:44,275 decorator.py [line:11] INFO function：【get_result】,runtime：【0.2351522445678711】s 2024-03-27 13:58:44,275 decorator.py [line:11] INFO function：【get_result】,runtime：【0.2351522445678711】s 2024-03-27 13:58:45,574 decorator.py [line:11] INFO function：【load_image】,runtime：【0.14697742462158203】s 2024-03-27 13:58:45,574 decorator.py [line:11] INFO function：【load_image】,runtime：【0.14697742462158203】s 2024-03-27 13:58:45,679 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08646893501281738】s 2024-03-27 13:58:45,679 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08646893501281738】s 2024-03-27 13:58:45,773 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0773007869720459】s 2024-03-27 13:58:45,773 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0773007869720459】s 2024-03-27 13:58:45,859 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06799125671386719】s 2024-03-27 13:58:45,859 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06799125671386719】s 2024-03-27 13:58:45,949 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07116031646728516】s 2024-03-27 13:58:45,949 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07116031646728516】s 2024-03-27 13:58:46,042 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07659769058227539】s 2024-03-27 13:58:46,042 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07659769058227539】s 2024-03-27 13:58:46,119 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06028294563293457】s 2024-03-27 13:58:46,119 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06028294563293457】s 2024-03-27 13:58:46,214 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07743430137634277】s 2024-03-27 13:58:46,214 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07743430137634277】s 2024-03-27 13:58:46,288 decorator.py [line:11] INFO function：【load_image】,runtime：【0.057299137115478516】s 2024-03-27 13:58:46,288 decorator.py [line:11] INFO function：【load_image】,runtime：【0.057299137115478516】s 2024-03-27 13:58:46,373 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06985664367675781】s 2024-03-27 13:58:46,373 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06985664367675781】s 2024-03-27 13:58:46,461 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07092571258544922】s 2024-03-27 13:58:46,461 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07092571258544922】s 2024-03-27 13:58:46,533 decorator.py [line:11] INFO function：【load_image】,runtime：【0.055513620376586914】s 2024-03-27 13:58:46,533 decorator.py [line:11] INFO function：【load_image】,runtime：【0.055513620376586914】s 2024-03-27 13:58:46,591 api_outfit_matcher.py [line:46] WARNING [400] PyTorch execute failure: The following operation failed in the TorchScript interpreter. Traceback of TorchScript (most recent call last): File "code/__torch__/fcm/models/main_model/type_aware_net.py", line 12025, in forward _4505 = int(_4504) _4506 = ops.prim.NumToTensor(torch.size(images, 1)) _4507 = torch.view(_1, [_4505, int(_4506), -1]) ~~~~~~~~~~ <--- HERE _4508 = torch.slice(_4507, 0, 0, 9223372036854775807) _4509 = torch.slice(torch.select(_4508, 1, 0), 1, 0, 9223372036854775807) RuntimeError: shape '[5, 3, -1]' is invalid for input of size 768 2024-03-27 13:58:46,591 api_outfit_matcher.py [line:46] WARNING [400] PyTorch execute failure: The following operation failed in the TorchScript interpreter. Traceback of TorchScript (most recent call last): File "code/__torch__/fcm/models/main_model/type_aware_net.py", line 12025, in forward _4505 = int(_4504) _4506 = ops.prim.NumToTensor(torch.size(images, 1)) _4507 = torch.view(_1, [_4505, int(_4506), -1]) ~~~~~~~~~~ <--- HERE _4508 = torch.slice(_4507, 0, 0, 9223372036854775807) _4509 = torch.slice(torch.select(_4508, 1, 0), 1, 0, 9223372036854775807) RuntimeError: shape '[5, 3, -1]' is invalid for input of size 768 2024-03-27 13:58:57,964 api_outfit_matcher.py [line:46] WARNING 'tops' 2024-03-27 13:58:57,964 api_outfit_matcher.py [line:46] WARNING 'tops' 2024-03-27 13:59:03,013 api_outfit_matcher.py [line:46] WARNING 'tops' 2024-03-27 13:59:03,013 api_outfit_matcher.py [line:46] WARNING 'tops' 2024-03-27 13:59:37,401 decorator.py [line:11] INFO function：【load_image】,runtime：【0.16234040260314941】s 2024-03-27 13:59:37,401 decorator.py [line:11] INFO function：【load_image】,runtime：【0.16234040260314941】s 2024-03-27 13:59:37,529 decorator.py [line:11] INFO function：【load_image】,runtime：【0.11061978340148926】s 2024-03-27 13:59:37,529 decorator.py [line:11] INFO function：【load_image】,runtime：【0.11061978340148926】s 2024-03-27 13:59:37,578 decorator.py [line:11] INFO function：【get_result】,runtime：【0.3390374183654785】s 2024-03-27 13:59:37,578 decorator.py [line:11] INFO function：【get_result】,runtime：【0.3390374183654785】s 2024-03-27 13:59:37,579 api_outfit_matcher.py [line:43] INFO run time is : 4.3606555461883545 2024-03-27 13:59:37,579 api_outfit_matcher.py [line:43] INFO run time is : 4.3606555461883545 2024-03-27 13:59:53,533 decorator.py [line:11] INFO function：【load_image】,runtime：【0.12405610084533691】s 2024-03-27 13:59:53,533 decorator.py [line:11] INFO function：【load_image】,runtime：【0.12405610084533691】s 2024-03-27 13:59:53,614 decorator.py [line:11] INFO function：【load_image】,runtime：【0.062774658203125】s 2024-03-27 13:59:53,614 decorator.py [line:11] INFO function：【load_image】,runtime：【0.062774658203125】s 2024-03-27 13:59:53,706 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07370877265930176】s 2024-03-27 13:59:53,706 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07370877265930176】s 2024-03-27 13:59:53,782 decorator.py [line:11] INFO function：【load_image】,runtime：【0.058119773864746094】s 2024-03-27 13:59:53,782 decorator.py [line:11] INFO function：【load_image】,runtime：【0.058119773864746094】s 2024-03-27 13:59:53,884 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08421730995178223】s 2024-03-27 13:59:53,884 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08421730995178223】s 2024-03-27 13:59:53,959 decorator.py [line:11] INFO function：【load_image】,runtime：【0.05769848823547363】s 2024-03-27 13:59:53,959 decorator.py [line:11] INFO function：【load_image】,runtime：【0.05769848823547363】s 2024-03-27 13:59:54,047 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07019829750061035】s 2024-03-27 13:59:54,047 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07019829750061035】s 2024-03-27 13:59:54,136 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07048344612121582】s 2024-03-27 13:59:54,136 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07048344612121582】s 2024-03-27 13:59:54,214 decorator.py [line:11] INFO function：【load_image】,runtime：【0.05997824668884277】s 2024-03-27 13:59:54,214 decorator.py [line:11] INFO function：【load_image】,runtime：【0.05997824668884277】s 2024-03-27 13:59:54,303 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07163858413696289】s 2024-03-27 13:59:54,303 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07163858413696289】s 2024-03-27 13:59:54,386 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06445097923278809】s 2024-03-27 13:59:54,386 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06445097923278809】s 2024-03-27 13:59:54,440 api_outfit_matcher.py [line:46] WARNING [400] PyTorch execute failure: The following operation failed in the TorchScript interpreter. Traceback of TorchScript (most recent call last): File "code/__torch__/fcm/models/main_model/type_aware_net.py", line 12025, in forward _4505 = int(_4504) _4506 = ops.prim.NumToTensor(torch.size(images, 1)) _4507 = torch.view(_1, [_4505, int(_4506), -1]) ~~~~~~~~~~ <--- HERE _4508 = torch.slice(_4507, 0, 0, 9223372036854775807) _4509 = torch.slice(torch.select(_4508, 1, 0), 1, 0, 9223372036854775807) RuntimeError: shape '[5, 3, -1]' is invalid for input of size 704 2024-03-27 13:59:54,440 api_outfit_matcher.py [line:46] WARNING [400] PyTorch execute failure: The following operation failed in the TorchScript interpreter. Traceback of TorchScript (most recent call last): File "code/__torch__/fcm/models/main_model/type_aware_net.py", line 12025, in forward _4505 = int(_4504) _4506 = ops.prim.NumToTensor(torch.size(images, 1)) _4507 = torch.view(_1, [_4505, int(_4506), -1]) ~~~~~~~~~~ <--- HERE _4508 = torch.slice(_4507, 0, 0, 9223372036854775807) _4509 = torch.slice(torch.select(_4508, 1, 0), 1, 0, 9223372036854775807) RuntimeError: shape '[5, 3, -1]' is invalid for input of size 704 2024-03-27 14:00:04,040 decorator.py [line:11] INFO function：【load_image】,runtime：【0.15560507774353027】s 2024-03-27 14:00:04,040 decorator.py [line:11] INFO function：【load_image】,runtime：【0.15560507774353027】s 2024-03-27 14:00:04,168 decorator.py [line:11] INFO function：【load_image】,runtime：【0.10945677757263184】s 2024-03-27 14:00:04,168 decorator.py [line:11] INFO function：【load_image】,runtime：【0.10945677757263184】s 2024-03-27 14:00:04,302 decorator.py [line:11] INFO function：【load_image】,runtime：【0.11451935768127441】s 2024-03-27 14:00:04,302 decorator.py [line:11] INFO function：【load_image】,runtime：【0.11451935768127441】s 2024-03-27 14:00:04,403 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08105683326721191】s 2024-03-27 14:00:04,403 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08105683326721191】s 2024-03-27 14:00:04,556 decorator.py [line:11] INFO function：【load_image】,runtime：【0.13525652885437012】s 2024-03-27 14:00:04,556 decorator.py [line:11] INFO function：【load_image】,runtime：【0.13525652885437012】s 2024-03-27 14:00:04,677 decorator.py [line:11] INFO function：【load_image】,runtime：【0.10164761543273926】s 2024-03-27 14:00:04,677 decorator.py [line:11] INFO function：【load_image】,runtime：【0.10164761543273926】s 2024-03-27 14:00:04,806 decorator.py [line:11] INFO function：【load_image】,runtime：【0.11051678657531738】s 2024-03-27 14:00:04,806 decorator.py [line:11] INFO function：【load_image】,runtime：【0.11051678657531738】s 2024-03-27 14:00:04,939 decorator.py [line:11] INFO function：【load_image】,runtime：【0.11425638198852539】s 2024-03-27 14:00:04,939 decorator.py [line:11] INFO function：【load_image】,runtime：【0.11425638198852539】s 2024-03-27 14:00:05,050 decorator.py [line:11] INFO function：【load_image】,runtime：【0.09280538558959961】s 2024-03-27 14:00:05,050 decorator.py [line:11] INFO function：【load_image】,runtime：【0.09280538558959961】s 2024-03-27 14:00:05,179 decorator.py [line:11] INFO function：【load_image】,runtime：【0.11007046699523926】s 2024-03-27 14:00:05,179 decorator.py [line:11] INFO function：【load_image】,runtime：【0.11007046699523926】s 2024-03-27 14:00:05,287 decorator.py [line:11] INFO function：【load_image】,runtime：【0.09088277816772461】s 2024-03-27 14:00:05,287 decorator.py [line:11] INFO function：【load_image】,runtime：【0.09088277816772461】s 2024-03-27 14:00:05,397 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0912470817565918】s 2024-03-27 14:00:05,397 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0912470817565918】s 2024-03-27 14:00:05,449 api_outfit_matcher.py [line:46] WARNING [400] PyTorch execute failure: The following operation failed in the TorchScript interpreter. Traceback of TorchScript (most recent call last): File "code/__torch__/fcm/models/main_model/type_aware_net.py", line 12025, in forward _4505 = int(_4504) _4506 = ops.prim.NumToTensor(torch.size(images, 1)) _4507 = torch.view(_1, [_4505, int(_4506), -1]) ~~~~~~~~~~ <--- HERE _4508 = torch.slice(_4507, 0, 0, 9223372036854775807) _4509 = torch.slice(torch.select(_4508, 1, 0), 1, 0, 9223372036854775807) RuntimeError: shape '[5, 3, -1]' is invalid for input of size 768 2024-03-27 14:00:05,449 api_outfit_matcher.py [line:46] WARNING [400] PyTorch execute failure: The following operation failed in the TorchScript interpreter. Traceback of TorchScript (most recent call last): File "code/__torch__/fcm/models/main_model/type_aware_net.py", line 12025, in forward _4505 = int(_4504) _4506 = ops.prim.NumToTensor(torch.size(images, 1)) _4507 = torch.view(_1, [_4505, int(_4506), -1]) ~~~~~~~~~~ <--- HERE _4508 = torch.slice(_4507, 0, 0, 9223372036854775807) _4509 = torch.slice(torch.select(_4508, 1, 0), 1, 0, 9223372036854775807) RuntimeError: shape '[5, 3, -1]' is invalid for input of size 768 2024-03-27 14:00:24,103 decorator.py [line:11] INFO function：【load_image】,runtime：【0.12218999862670898】s 2024-03-27 14:00:24,103 decorator.py [line:11] INFO function：【load_image】,runtime：【0.12218999862670898】s 2024-03-27 14:00:24,206 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08275294303894043】s 2024-03-27 14:00:24,206 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08275294303894043】s 2024-03-27 14:00:24,257 decorator.py [line:11] INFO function：【get_result】,runtime：【0.27626585960388184】s 2024-03-27 14:00:24,257 decorator.py [line:11] INFO function：【get_result】,runtime：【0.27626585960388184】s 2024-03-27 14:00:27,384 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08464622497558594】s 2024-03-27 14:00:27,384 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08464622497558594】s 2024-03-27 14:00:27,483 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08122897148132324】s 2024-03-27 14:00:27,483 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08122897148132324】s 2024-03-27 14:00:27,514 decorator.py [line:11] INFO function：【get_result】,runtime：【0.21431875228881836】s 2024-03-27 14:00:27,514 decorator.py [line:11] INFO function：【get_result】,runtime：【0.21431875228881836】s 2024-03-27 14:00:28,238 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06983208656311035】s 2024-03-27 14:00:28,238 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06983208656311035】s 2024-03-27 14:00:28,339 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08301925659179688】s 2024-03-27 14:00:28,339 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08301925659179688】s 2024-03-27 14:00:28,372 decorator.py [line:11] INFO function：【get_result】,runtime：【0.2040712833404541】s 2024-03-27 14:00:28,372 decorator.py [line:11] INFO function：【get_result】,runtime：【0.2040712833404541】s 2024-03-27 14:00:29,044 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08105134963989258】s 2024-03-27 14:00:29,044 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08105134963989258】s 2024-03-27 14:00:29,150 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08832597732543945】s 2024-03-27 14:00:29,150 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08832597732543945】s 2024-03-27 14:00:29,180 decorator.py [line:11] INFO function：【get_result】,runtime：【0.21682119369506836】s 2024-03-27 14:00:29,180 decorator.py [line:11] INFO function：【get_result】,runtime：【0.21682119369506836】s 2024-03-27 14:00:29,839 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0821681022644043】s 2024-03-27 14:00:29,839 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0821681022644043】s 2024-03-27 14:00:29,935 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07955217361450195】s 2024-03-27 14:00:29,935 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07955217361450195】s 2024-03-27 14:00:30,019 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06698799133300781】s 2024-03-27 14:00:30,019 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06698799133300781】s 2024-03-27 14:00:30,108 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07267951965332031】s 2024-03-27 14:00:30,108 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07267951965332031】s 2024-03-27 14:00:30,201 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07572412490844727】s 2024-03-27 14:00:30,201 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07572412490844727】s 2024-03-27 14:00:30,274 decorator.py [line:11] INFO function：【load_image】,runtime：【0.055880069732666016】s 2024-03-27 14:00:30,274 decorator.py [line:11] INFO function：【load_image】,runtime：【0.055880069732666016】s 2024-03-27 14:00:30,361 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07042908668518066】s 2024-03-27 14:00:30,361 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07042908668518066】s 2024-03-27 14:00:30,458 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07879352569580078】s 2024-03-27 14:00:30,458 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07879352569580078】s 2024-03-27 14:00:30,542 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06822371482849121】s 2024-03-27 14:00:30,542 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06822371482849121】s 2024-03-27 14:00:30,627 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06983423233032227】s 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function：【load_image】,runtime：【0.058187007904052734】s 2024-03-27 14:00:31,062 decorator.py [line:11] INFO function：【load_image】,runtime：【0.058187007904052734】s 2024-03-27 14:00:31,114 decorator.py [line:11] INFO function：【get_result】,runtime：【1.3570747375488281】s 2024-03-27 14:00:31,114 decorator.py [line:11] INFO function：【get_result】,runtime：【1.3570747375488281】s 2024-03-27 14:00:32,052 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0656881332397461】s 2024-03-27 14:00:32,052 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0656881332397461】s 2024-03-27 14:00:32,145 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07381057739257812】s 2024-03-27 14:00:32,145 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07381057739257812】s 2024-03-27 14:00:32,176 decorator.py [line:11] INFO function：【get_result】,runtime：【0.18974781036376953】s 2024-03-27 14:00:32,176 decorator.py [line:11] INFO function：【get_result】,runtime：【0.18974781036376953】s 2024-03-27 14:00:32,176 api_outfit_matcher.py [line:43] INFO run time is : 10.125276803970337 2024-03-27 14:00:32,176 api_outfit_matcher.py [line:43] INFO run time is : 10.125276803970337 2024-03-27 14:00:48,000 decorator.py [line:11] INFO function：【load_image】,runtime：【0.2157456874847412】s 2024-03-27 14:00:48,000 decorator.py [line:11] INFO function：【load_image】,runtime：【0.2157456874847412】s 2024-03-27 14:00:48,116 decorator.py [line:11] INFO function：【load_image】,runtime：【0.09854531288146973】s 2024-03-27 14:00:48,116 decorator.py [line:11] INFO function：【load_image】,runtime：【0.09854531288146973】s 2024-03-27 14:00:48,249 decorator.py [line:11] INFO function：【load_image】,runtime：【0.11585569381713867】s 2024-03-27 14:00:48,249 decorator.py [line:11] INFO function：【load_image】,runtime：【0.11585569381713867】s 2024-03-27 14:00:48,351 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08505105972290039】s 2024-03-27 14:00:48,351 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08505105972290039】s 2024-03-27 14:00:48,455 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08607959747314453】s 2024-03-27 14:00:48,455 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08607959747314453】s 2024-03-27 14:00:48,560 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08723664283752441】s 2024-03-27 14:00:48,560 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08723664283752441】s 2024-03-27 14:00:48,655 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07823681831359863】s 2024-03-27 14:00:48,655 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07823681831359863】s 2024-03-27 14:00:48,790 decorator.py [line:11] INFO function：【load_image】,runtime：【0.11772513389587402】s 2024-03-27 14:00:48,790 decorator.py [line:11] INFO function：【load_image】,runtime：【0.11772513389587402】s 2024-03-27 14:00:48,902 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0930490493774414】s 2024-03-27 14:00:48,902 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0930490493774414】s 2024-03-27 14:00:49,027 decorator.py [line:11] INFO function：【load_image】,runtime：【0.10860133171081543】s 2024-03-27 14:00:49,027 decorator.py [line:11] INFO function：【load_image】,runtime：【0.10860133171081543】s 2024-03-27 14:00:49,122 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07420182228088379】s 2024-03-27 14:00:49,122 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07420182228088379】s 2024-03-27 14:00:49,187 api_outfit_matcher.py [line:46] WARNING [400] PyTorch execute failure: The following operation failed in the TorchScript interpreter. Traceback of TorchScript (most recent call last): File "code/__torch__/fcm/models/main_model/type_aware_net.py", line 12025, in forward _4505 = int(_4504) _4506 = ops.prim.NumToTensor(torch.size(images, 1)) _4507 = torch.view(_1, [_4505, int(_4506), -1]) ~~~~~~~~~~ <--- HERE _4508 = torch.slice(_4507, 0, 0, 9223372036854775807) _4509 = torch.slice(torch.select(_4508, 1, 0), 1, 0, 9223372036854775807) RuntimeError: shape '[5, 3, -1]' is invalid for input of size 704 2024-03-27 14:00:49,187 api_outfit_matcher.py [line:46] WARNING [400] PyTorch execute failure: The following operation failed in the TorchScript interpreter. Traceback of TorchScript (most recent call last): File "code/__torch__/fcm/models/main_model/type_aware_net.py", line 12025, in forward _4505 = int(_4504) _4506 = ops.prim.NumToTensor(torch.size(images, 1)) _4507 = torch.view(_1, [_4505, int(_4506), -1]) ~~~~~~~~~~ <--- HERE _4508 = torch.slice(_4507, 0, 0, 9223372036854775807) _4509 = torch.slice(torch.select(_4508, 1, 0), 1, 0, 9223372036854775807) RuntimeError: shape '[5, 3, -1]' is invalid for input of size 704 2024-03-27 14:01:02,099 decorator.py [line:11] INFO function：【load_image】,runtime：【0.16933894157409668】s 2024-03-27 14:01:02,099 decorator.py [line:11] INFO function：【load_image】,runtime：【0.16933894157409668】s 2024-03-27 14:01:02,194 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07816171646118164】s 2024-03-27 14:01:02,194 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07816171646118164】s 2024-03-27 14:01:02,302 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08951163291931152】s 2024-03-27 14:01:02,302 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08951163291931152】s 2024-03-27 14:01:02,407 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0887606143951416】s 2024-03-27 14:01:02,407 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0887606143951416】s 2024-03-27 14:01:02,509 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08620452880859375】s 2024-03-27 14:01:02,509 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08620452880859375】s 2024-03-27 14:01:02,599 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07243728637695312】s 2024-03-27 14:01:02,599 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07243728637695312】s 2024-03-27 14:01:02,698 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08305978775024414】s 2024-03-27 14:01:02,698 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08305978775024414】s 2024-03-27 14:01:02,786 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0703268051147461】s 2024-03-27 14:01:02,786 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0703268051147461】s 2024-03-27 14:01:02,870 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06625247001647949】s 2024-03-27 14:01:02,870 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06625247001647949】s 2024-03-27 14:01:02,958 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07140207290649414】s 2024-03-27 14:01:02,958 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07140207290649414】s 2024-03-27 14:01:03,031 decorator.py [line:11] INFO function：【load_image】,runtime：【0.05882072448730469】s 2024-03-27 14:01:03,031 decorator.py [line:11] INFO function：【load_image】,runtime：【0.05882072448730469】s 2024-03-27 14:01:03,119 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07142138481140137】s 2024-03-27 14:01:03,119 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07142138481140137】s 2024-03-27 14:01:03,193 decorator.py [line:11] INFO function：【load_image】,runtime：【0.05618572235107422】s 2024-03-27 14:01:03,193 decorator.py [line:11] INFO function：【load_image】,runtime：【0.05618572235107422】s 2024-03-27 14:01:03,277 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06607556343078613】s 2024-03-27 14:01:03,277 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06607556343078613】s 2024-03-27 14:01:03,335 api_outfit_matcher.py [line:46] WARNING [400] PyTorch execute failure: The following operation failed in the TorchScript interpreter. Traceback of TorchScript (most recent call last): File "code/__torch__/fcm/models/main_model/type_aware_net.py", line 12025, in forward _4505 = int(_4504) _4506 = ops.prim.NumToTensor(torch.size(images, 1)) _4507 = torch.view(_1, [_4505, int(_4506), -1]) ~~~~~~~~~~ <--- HERE _4508 = torch.slice(_4507, 0, 0, 9223372036854775807) _4509 = torch.slice(torch.select(_4508, 1, 0), 1, 0, 9223372036854775807) RuntimeError: shape '[6, 3, -1]' is invalid for input of size 896 2024-03-27 14:01:03,335 api_outfit_matcher.py [line:46] WARNING [400] PyTorch execute failure: The following operation failed in the TorchScript interpreter. Traceback of TorchScript (most recent call last): File "code/__torch__/fcm/models/main_model/type_aware_net.py", line 12025, in forward _4505 = int(_4504) _4506 = ops.prim.NumToTensor(torch.size(images, 1)) _4507 = torch.view(_1, [_4505, int(_4506), -1]) ~~~~~~~~~~ <--- HERE _4508 = torch.slice(_4507, 0, 0, 9223372036854775807) _4509 = torch.slice(torch.select(_4508, 1, 0), 1, 0, 9223372036854775807) RuntimeError: shape '[6, 3, -1]' is invalid for input of size 896 2024-03-27 14:02:22,476 decorator.py [line:11] INFO function：【load_image】,runtime：【0.12627029418945312】s 2024-03-27 14:02:22,476 decorator.py [line:11] INFO function：【load_image】,runtime：【0.12627029418945312】s 2024-03-27 14:02:22,586 decorator.py [line:11] INFO function：【load_image】,runtime：【0.09139084815979004】s 2024-03-27 14:02:22,586 decorator.py [line:11] INFO function：【load_image】,runtime：【0.09139084815979004】s 2024-03-27 14:02:22,658 decorator.py [line:11] INFO function：【get_result】,runtime：【0.30730652809143066】s 2024-03-27 14:02:22,658 decorator.py [line:11] INFO function：【get_result】,runtime：【0.30730652809143066】s 2024-03-27 14:02:22,658 api_outfit_matcher.py [line:43] INFO run time is : 0.30835771560668945 2024-03-27 14:02:22,658 api_outfit_matcher.py [line:43] INFO run time is : 0.30835771560668945 2024-03-27 14:02:35,439 api_outfit_matcher.py [line:46] WARNING 'bottoms' 2024-03-27 14:02:35,439 api_outfit_matcher.py [line:46] WARNING 'bottoms' 2024-03-27 14:02:39,781 api_outfit_matcher.py [line:46] WARNING 'bottoms' 2024-03-27 14:02:39,781 api_outfit_matcher.py [line:46] WARNING 'bottoms' 2024-03-27 14:02:51,401 api_outfit_matcher.py [line:46] WARNING 'bottoms' 2024-03-27 14:02:51,401 api_outfit_matcher.py [line:46] WARNING 'bottoms' 2024-03-27 14:04:04,097 api_outfit_matcher.py [line:46] WARNING 'bottoms' 2024-03-27 14:04:04,097 api_outfit_matcher.py [line:46] WARNING 'bottoms' 2024-03-27 14:04:06,307 api_outfit_matcher.py [line:46] WARNING 'bottoms' 2024-03-27 14:04:06,307 api_outfit_matcher.py [line:46] WARNING 'bottoms' 2024-03-27 14:04:28,865 api_outfit_matcher.py [line:46] WARNING 'bottoms' 2024-03-27 14:04:28,865 api_outfit_matcher.py [line:46] WARNING 'bottoms' 2024-03-27 14:04:29,773 api_outfit_matcher.py [line:46] WARNING 'bottoms' 2024-03-27 14:04:29,773 api_outfit_matcher.py [line:46] WARNING 'bottoms' 2024-03-27 14:13:28,169 decorator.py [line:11] INFO function：【load_image】,runtime：【0.12053704261779785】s 2024-03-27 14:13:28,169 decorator.py [line:11] INFO function：【load_image】,runtime：【0.12053704261779785】s 2024-03-27 14:13:28,264 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07200479507446289】s 2024-03-27 14:13:28,264 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07200479507446289】s 2024-03-27 14:13:28,320 decorator.py [line:11] INFO function：【get_result】,runtime：【0.27213454246520996】s 2024-03-27 14:13:28,320 decorator.py [line:11] INFO function：【get_result】,runtime：【0.27213454246520996】s 2024-03-27 14:13:28,321 api_outfit_matcher.py [line:43] INFO run time is : 9.347336292266846 2024-03-27 14:13:28,321 api_outfit_matcher.py [line:43] INFO run time is : 9.347336292266846 2024-03-27 14:13:41,694 decorator.py [line:11] INFO function：【load_image】,runtime：【0.11302900314331055】s 2024-03-27 14:13:41,694 decorator.py [line:11] INFO function：【load_image】,runtime：【0.11302900314331055】s 2024-03-27 14:13:41,786 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07468986511230469】s 2024-03-27 14:13:41,786 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07468986511230469】s 2024-03-27 14:13:41,885 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08054018020629883】s 2024-03-27 14:13:41,885 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08054018020629883】s 2024-03-27 14:13:41,975 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0731651782989502】s 2024-03-27 14:13:41,975 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0731651782989502】s 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2024-03-27 14:20:39,056 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06966471672058105】s 2024-03-27 14:20:39,158 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08404111862182617】s 2024-03-27 14:20:39,158 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08404111862182617】s 2024-03-27 14:20:39,250 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07638955116271973】s 2024-03-27 14:20:39,250 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07638955116271973】s 2024-03-27 14:20:39,352 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08615422248840332】s 2024-03-27 14:20:39,352 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08615422248840332】s 2024-03-27 14:20:39,433 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0630955696105957】s 2024-03-27 14:20:39,433 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0630955696105957】s 2024-03-27 14:20:39,537 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0868382453918457】s 2024-03-27 14:20:39,537 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0868382453918457】s 2024-03-27 14:20:39,630 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07893753051757812】s 2024-03-27 14:20:39,630 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07893753051757812】s 2024-03-27 14:20:39,728 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07926106452941895】s 2024-03-27 14:20:39,728 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07926106452941895】s 2024-03-27 14:20:39,805 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0608980655670166】s 2024-03-27 14:20:39,805 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0608980655670166】s 2024-03-27 14:21:14,308 decorator.py [line:11] INFO function：【get_result】,runtime：【35.45225286483765】s 2024-03-27 14:21:14,308 decorator.py [line:11] INFO function：【get_result】,runtime：【35.45225286483765】s 2024-03-27 14:21:14,309 api_outfit_matcher.py [line:43] INFO run time is : 46.602468490600586 2024-03-27 14:21:14,309 api_outfit_matcher.py [line:43] INFO run time is : 46.602468490600586 2024-03-27 14:21:32,320 decorator.py [line:11] INFO function：【load_image】,runtime：【0.10713672637939453】s 2024-03-27 14:21:32,320 decorator.py [line:11] INFO function：【load_image】,runtime：【0.10713672637939453】s 2024-03-27 14:21:32,400 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06152820587158203】s 2024-03-27 14:21:32,400 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06152820587158203】s 2024-03-27 14:21:32,490 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07219386100769043】s 2024-03-27 14:21:32,490 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07219386100769043】s 2024-03-27 14:21:32,571 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06483602523803711】s 2024-03-27 14:21:32,571 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06483602523803711】s 2024-03-27 14:21:32,661 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07199335098266602】s 2024-03-27 14:21:32,661 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07199335098266602】s 2024-03-27 14:21:32,756 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0789797306060791】s 2024-03-27 14:21:32,756 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0789797306060791】s 2024-03-27 14:21:32,855 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07486796379089355】s 2024-03-27 14:21:32,855 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07486796379089355】s 2024-03-27 14:21:32,947 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07346510887145996】s 2024-03-27 14:21:32,947 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07346510887145996】s 2024-03-27 14:21:33,029 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06652092933654785】s 2024-03-27 14:21:33,029 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06652092933654785】s 2024-03-27 14:21:33,115 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06980299949645996】s 2024-03-27 14:21:33,115 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06980299949645996】s 2024-03-27 14:21:33,189 decorator.py [line:11] INFO function：【load_image】,runtime：【0.05495500564575195】s 2024-03-27 14:21:33,189 decorator.py [line:11] INFO function：【load_image】,runtime：【0.05495500564575195】s 2024-03-27 14:21:47,627 decorator.py [line:11] INFO function：【load_image】,runtime：【0.10357475280761719】s 2024-03-27 14:21:47,627 decorator.py [line:11] INFO function：【load_image】,runtime：【0.10357475280761719】s 2024-03-27 14:21:47,707 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06177830696105957】s 2024-03-27 14:21:47,707 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06177830696105957】s 2024-03-27 14:21:47,802 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07734298706054688】s 2024-03-27 14:21:47,802 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07734298706054688】s 2024-03-27 14:21:47,892 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07427024841308594】s 2024-03-27 14:21:47,892 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07427024841308594】s 2024-03-27 14:21:47,980 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07008957862854004】s 2024-03-27 14:21:47,980 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07008957862854004】s 2024-03-27 14:21:48,066 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06926536560058594】s 2024-03-27 14:21:48,066 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06926536560058594】s 2024-03-27 14:21:48,159 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07513070106506348】s 2024-03-27 14:21:48,159 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07513070106506348】s 2024-03-27 14:21:48,240 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06406807899475098】s 2024-03-27 14:21:48,240 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06406807899475098】s 2024-03-27 14:21:48,328 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0713653564453125】s 2024-03-27 14:21:48,328 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0713653564453125】s 2024-03-27 14:21:48,413 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0676414966583252】s 2024-03-27 14:21:48,413 decorator.py [line:11] INFO function：【load_image】,runtime：【0.0676414966583252】s 2024-03-27 14:22:04,655 decorator.py [line:11] INFO function：【get_result】,runtime：【17.13152003288269】s 2024-03-27 14:22:04,655 decorator.py [line:11] INFO function：【get_result】,runtime：【17.13152003288269】s 2024-03-27 14:22:04,656 api_outfit_matcher.py [line:43] INFO run time is : 18.978604078292847 2024-03-27 14:22:04,656 api_outfit_matcher.py [line:43] INFO run time is : 18.978604078292847 2024-03-27 14:22:08,333 decorator.py [line:11] INFO function：【load_image】,runtime：【0.10210704803466797】s 2024-03-27 14:22:08,333 decorator.py [line:11] INFO function：【load_image】,runtime：【0.10210704803466797】s 2024-03-27 14:22:08,422 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07208585739135742】s 2024-03-27 14:22:08,422 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07208585739135742】s 2024-03-27 14:22:08,525 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08597993850708008】s 2024-03-27 14:22:08,525 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08597993850708008】s 2024-03-27 14:22:08,625 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08390545845031738】s 2024-03-27 14:22:08,625 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08390545845031738】s 2024-03-27 14:22:08,727 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08538031578063965】s 2024-03-27 14:22:08,727 decorator.py [line:11] INFO function：【load_image】,runtime：【0.08538031578063965】s 2024-03-27 14:22:08,805 decorator.py [line:11] INFO function：【load_image】,runtime：【0.059221506118774414】s 2024-03-27 14:22:08,805 decorator.py [line:11] INFO function：【load_image】,runtime：【0.059221506118774414】s 2024-03-27 14:22:08,892 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06974506378173828】s 2024-03-27 14:22:08,892 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06974506378173828】s 2024-03-27 14:22:08,982 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07265496253967285】s 2024-03-27 14:22:08,982 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07265496253967285】s 2024-03-27 14:22:09,056 decorator.py [line:11] INFO function：【load_image】,runtime：【0.05707836151123047】s 2024-03-27 14:22:09,056 decorator.py [line:11] INFO function：【load_image】,runtime：【0.05707836151123047】s 2024-03-27 14:22:09,146 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07120347023010254】s 2024-03-27 14:22:09,146 decorator.py [line:11] INFO function：【load_image】,runtime：【0.07120347023010254】s 2024-03-27 14:22:09,230 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06669831275939941】s 2024-03-27 14:22:09,230 decorator.py [line:11] INFO function：【load_image】,runtime：【0.06669831275939941】s 2024-03-27 14:26:41,041 decorator.py [line:11] INFO function：【load_image】,runtime：【300.03149700164795】s 2024-03-27 14:26:41,041 decorator.py [line:11] INFO function：【load_image】,runtime：【300.03149700164795】s 2024-03-27 15:10:21,691 api_attribute.py [line:17] INFO test 2024-03-27 15:10:21,691 api_attribute.py [line:17] INFO test 2024-03-27 15:19:50,431 api_attribute.py [line:17] INFO test 2024-03-27 15:19:50,431 api_attribute.py [line:17] INFO test 2024-03-27 15:20:48,998 api_attribute.py [line:18] INFO test 2024-03-27 15:20:48,998 api_attribute.py [line:18] INFO test 2024-03-27 15:24:37,184 api_attribute.py [line:18] INFO test 2024-03-27 15:24:37,184 api_attribute.py [line:18] INFO test 2024-03-27 15:50:48,918 api_attribute.py [line:18] INFO test 2024-03-27 15:50:48,918 api_attribute.py [line:18] INFO test 2024-03-27 15:53:25,057 api_attribute.py [line:18] INFO test 2024-03-27 15:53:25,057 api_attribute.py [line:18] INFO test 2024-03-27 16:01:53,943 api_attribute.py [line:18] INFO test 2024-03-27 16:01:53,943 api_attribute.py [line:18] INFO test 2024-03-27 16:23:31,085 api_attribute.py [line:18] INFO test 2024-03-27 16:23:31,085 api_attribute.py [line:18] INFO test 2024-03-27 16:59:17,028 decorator.py [line:11] INFO function：【load_image】,runtime：【372.1579358577728】s 2024-03-27 16:59:17,028 decorator.py [line:11] INFO function：【load_image】,runtime：【372.1579358577728】s 2024-03-27 16:59:28,246 decorator.py [line:11] INFO function：【load_image】,runtime：【4.365650177001953】s 2024-03-27 16:59:28,246 decorator.py [line:11] INFO function：【load_image】,runtime：【4.365650177001953】s 2024-03-27 16:59:35,344 decorator.py [line:11] INFO function：【load_image】,runtime：【1.5201640129089355】s 2024-03-27 16:59:35,344 decorator.py [line:11] INFO function：【load_image】,runtime：【1.5201640129089355】s 2024-03-27 16:59:36,538 decorator.py [line:11] INFO function：【load_image】,runtime：【1.1855032444000244】s 2024-03-27 16:59:36,538 decorator.py [line:11] INFO function：【load_image】,runtime：【1.1855032444000244】s 2024-03-27 16:59:38,242 decorator.py [line:11] INFO function：【get_result】,runtime：【4.41891622543335】s 2024-03-27 16:59:38,242 decorator.py [line:11] INFO function：【get_result】,runtime：【4.41891622543335】s 2024-03-27 16:59:38,244 api_outfit_matcher.py [line:43] INFO run time is : 4.420928478240967 2024-03-27 16:59:38,244 api_outfit_matcher.py [line:43] INFO run time is : 4.420928478240967 2024-03-27 17:05:01,804 decorator.py [line:11] INFO function：【load_image】,runtime：【251.81508135795593】s 2024-03-27 17:05:01,804 decorator.py [line:11] INFO function：【load_image】,runtime：【251.81508135795593】s 2024-03-27 17:05:02,568 decorator.py [line:11] INFO function：【load_image】,runtime：【0.7592649459838867】s 2024-03-27 17:05:02,568 decorator.py [line:11] INFO function：【load_image】,runtime：【0.7592649459838867】s 2024-03-27 17:05:02,615 decorator.py [line:11] INFO function：【get_result】,runtime：【252.62576150894165】s 2024-03-27 17:05:02,615 decorator.py [line:11] INFO function：【get_result】,runtime：【252.62576150894165】s 2024-03-27 17:05:02,616 api_outfit_matcher.py [line:43] INFO run time is : 252.62676739692688 2024-03-27 17:05:02,616 api_outfit_matcher.py [line:43] INFO run time is : 252.62676739692688 2024-03-27 18:01:01,985 milvus_client.py [line:641] DEBUG Created new connection using: 704a3f1ccb564a0ea5281250a8583db5 2024-03-27 18:01:01,985 decorators.py [line:146] ERROR RPC error: [search], , 2024-03-27 18:01:01,985 decorators.py [line:146] ERROR RPC error: [search], , 2024-03-27 18:01:01,985 decorators.py [line:146] ERROR RPC error: [search], , 2024-03-27 18:01:01,987 milvus_client.py [line:318] ERROR Failed to search collection: mixi_outfit 2024-03-27 18:01:01,987 milvus_client.py [line:318] ERROR Failed to search collection: mixi_outfit 2024-03-27 18:01:01,987 milvus_client.py [line:318] ERROR Failed to search collection: mixi_outfit 2024-03-27 18:01:08,508 milvus_client.py [line:641] DEBUG Created new connection using: ca5adf3ff3e34da0ae3f93c1669501ba 2024-03-27 18:01:08,708 decorator.py [line:11] INFO function：【match_features】,runtime：【0.21055293083190918】s 2024-03-27 18:01:08,708 decorator.py [line:11] INFO function：【match_features】,runtime：【0.21055293083190918】s 2024-03-27 18:03:26,541 milvus_client.py [line:641] DEBUG Created new connection using: 624da64059d34937a6ee6bc1ada3cc2d 2024-03-27 18:03:26,747 decorator.py [line:11] INFO function：【match_features】,runtime：【0.22229576110839844】s 2024-03-27 18:03:26,747 decorator.py [line:11] INFO function：【match_features】,runtime：【0.22229576110839844】s 2024-03-27 18:08:31,893 api_similar_match.py [line:24] WARNING "result number can't be less than 0" 2024-03-27 18:08:31,893 api_similar_match.py [line:24] WARNING "result number can't be less than 0"