zsyzzsoft
commented
4 years ago They are just notifications but not errors. The code is running normally, and you can find the result in "evaluate/*.txt" when it returns. Please wait a couple of minutes, which might be longer depending on your device.
when I run eval.py,it shows:
curses is not supported on this machine (please install/reinstall curses for an optimal experience) Using TensorFlow backend. weights/VTN-10-liver\model-99500 {'base_network': 'VTN', 'n_cascades': 10, 'rep': 1, 'gpu': '0,1,2,3', 'checkpoint': None, 'dataset': 'datasets/liver.json', 'batch': 4, 'round': 20000, 'epochs': 5, 'debug': False, 'val_steps': 100, 'net_args': '', 'data_args': '', 'lr': 0.0001, 'clear_steps': False, 'finetune': None, 'name': None, 'logs': ''} WARNING:tensorflow:From D:\Recursive-Cascaded-Networks-master\network\framework.py:64: calling reduce_all (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version. Instructions for updating: keep_dims is deprecated, use keepdims instead [(<network.base_networks.VTNAffineStem object at 0x000001DA6E9E2668>, {'raw_weight': 0, 'reg_weight': 0, 'weight': 1}), (<network.base_networks.VTN object at 0x000001DA6E9B0DA0>, {'raw_weight': 0, 'weight': 1, 'reg_weight': 1}), (<network.base_networks.VTN object at 0x000001DA6E9B0C88>, {'raw_weight': 0, 'weight': 1, 'reg_weight': 1}), (<network.base_networks.VTN object at 0x000001DA6E9B0E80>, {'raw_weight': 0, 'weight': 1, 'reg_weight': 1}), (<network.base_networks.VTN object at 0x000001DA6E5B7C88>, {'raw_weight': 0, 'weight': 1, 'reg_weight': 1}), (<network.base_networks.VTN object at 0x000001DA6FB4D898>, {'raw_weight': 0, 'weight': 1, 'reg_weight': 1}), (<network.base_networks.VTN object at 0x000001DA6FADDE80>, {'raw_weight': 0, 'weight': 1, 'reg_weight': 1}), (<network.base_networks.VTN object at 0x000001DA6E5B9278>, {'raw_weight': 0, 'weight': 1, 'reg_weight': 1}), (<network.base_networks.VTN object at 0x000001DA6E5A6F98>, {'raw_weight': 0, 'weight': 1, 'reg_weight': 1}), (<network.base_networks.VTN object at 0x000001DA6E5A6C18>, {'raw_weight': 0, 'weight': 1, 'reg_weight': 1}), (<network.base_networks.VTN object at 0x000001DA6E5A6F60>, {'raw_weight': 1, 'weight': 1, 'reg_weight': 1})] WARNING:tensorflow:From C:\Users\pf\Anaconda3\lib\site-packages\tflearn\initializations.py:119: UniformUnitScaling.init (from tensorflow.python.ops.init_ops) is deprecated and will be removed in a future version. Instructions for updating: Use tf.initializers.variance_scaling instead with distribution=uniform to get equivalent behavior. Graph built datasets/msd_dataset.h5 not found! datasets/youyi_liver.h5 not found! Number of data in combine-train is 1025 Number of data in sliver-val is 19 Number of data in lits-val is 131 Number of data in lspig-val is 34 2019-11-21 10:27:09.182592: I T:\src\github\tensorflow\tensorflow\core\platform\cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 2019-11-21 10:27:09.385214: I T:\src\github\tensorflow\tensorflow\core\common_runtime\gpu\gpu_device.cc:1405] Found device 0 with properties: name: GeForce GTX 1080 Ti major: 6 minor: 1 memoryClockRate(GHz): 1.607 pciBusID: 0000:01:00.0 totalMemory: 11.00GiB freeMemory: 9.08GiB 2019-11-21 10:27:09.390234: I T:\src\github\tensorflow\tensorflow\core\common_runtime\gpu\gpu_device.cc:1484] Adding visible gpu devices: 0 2019-11-21 10:27:09.954466: I T:\src\github\tensorflow\tensorflow\core\common_runtime\gpu\gpu_device.cc:965] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-11-21 10:27:09.957150: I T:\src\github\tensorflow\tensorflow\core\common_runtime\gpu\gpu_device.cc:971] 0 2019-11-21 10:27:09.958786: I T:\src\github\tensorflow\tensorflow\core\common_runtime\gpu\gpu_device.cc:984] 0: N 2019-11-21 10:27:09.960476: I T:\src\github\tensorflow\tensorflow\core\common_runtime\gpu\gpu_device.cc:1097] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 8783 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1080 Ti, pci bus id: 0000:01:00.0, compute capability: 6.1) Validation subset 2 2019-11-21 10:27:24.280417: I T:\src\github\tensorflow\tensorflow\core\kernels\cuda_solvers.cc:159] Creating CudaSolver handles for stream 000001DA1F494840
and I download the liver_val.zip and pretrained weights files , datasets omiting two files.