I tried to run train.py to train the model on cityscapes dataset. Could you please help me rectify this issue ?
python train.py --train-beta-gamma
2018-03-28 13:36:47.131437: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow
binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA
2018-03-28 13:36:47.253316: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:892] successful NUMA node read from SysFS had nega
tive value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2018-03-28 13:36:47.253751: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1030] Found device 0 with properties:
name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235
pciBusID: 0000:00:04.0
totalMemory: 11.17GiB freeMemory: 11.09GiB
2018-03-28 13:36:47.329395: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:892] successful NUMA node read from SysFS had nega
tive value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2018-03-28 13:36:47.329761: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1030] Found device 1 with properties:
name: Tesla K80 major: 3 minor: 7 memoryClockRate(GHz): 0.8235
pciBusID: 0000:00:05.0
totalMemory: 11.17GiB freeMemory: 11.10GiB
2018-03-28 13:36:47.329816: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1045] Device peer to peer matrix
2018-03-28 13:36:47.329850: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1051] DMA: 0 1
2018-03-28 13:36:47.329863: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1061] 0: Y N
2018-03-28 13:36:47.329868: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1061] 1: N Y
2018-03-28 13:36:47.329878: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1120] Creating TensorFlow device (/device:GPU:0) -> (d
evice: 0, name: Tesla K80, pci bus id: 0000:00:04.0, compute capability: 3.7)
2018-03-28 13:36:47.329886: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1120] Creating TensorFlow device (/device:GPU:1) -> (d
evice: 1, name: Tesla K80, pci bus id: 0000:00:05.0, compute capability: 3.7)
Restore from pre-trained model...
Traceback (most recent call last):
File "train.py", line 211, in
main()
File "train.py", line 189, in main
net.load(args.restore_from, sess)
File "/home/soebans15/ICNet-tensorflow/network.py", line 77, in load
var = tf.get_variable(param_name)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/variable_scope.py", line 1203, in get_variable
constraint=constraint)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/variable_scope.py", line 1092, in get_variable
constraint=constraint)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/variable_scope.py", line 425, in get_variable
constraint=constraint)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/variable_scope.py", line 394, in _true_getter
use_resource=use_resource, constraint=constraint)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/variable_scope.py", line 760, in _get_single_variable
"reuse=tf.AUTO_REUSE in VarScope?" % name)
ValueError: Variable conv1_1_3x3_s2/biases does not exist, or was not created with tf.get_variable(). Did you mean to set reuse=tf.AU
TO_REUSE in VarScope?
Hi,
I tried to run train.py to train the model on cityscapes dataset. Could you please help me rectify this issue ?