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WARNING:tensorflow:From C:\Users\damao\AppData\Roaming\Python\Python36\site-packages\tensorflow\contrib\learn\python\learn\datasets\base.py:198: retry (from tensorflow.contrib.learn.python.learn.datasets.base) is deprecated and will be removed in a future version.
Instructions for updating:
Use the retry module or similar alternatives.
WARNING:tensorflow:From D:/test/Relation-Classification-using-Bidirectional-LSTM-Tree-master/LSTM Seq and Tree/model3v1.py:440: arg_max (from tensorflow.python.ops.gen_math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use argmax instead
2019-07-05 22:47:07.901705: I T:\src\github\tensorflow\tensorflow\core\platform\cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
2019-07-05 22:47:09.159543: I T:\src\github\tensorflow\tensorflow\core\common_runtime\gpu\gpu_device.cc:1344] Found device 0 with properties:
name: GeForce GTX 1050 Ti major: 6 minor: 1 memoryClockRate(GHz): 1.62
pciBusID: 0000:01:00.0
totalMemory: 4.00GiB freeMemory: 3.30GiB
2019-07-05 22:47:09.160428: I T:\src\github\tensorflow\tensorflow\core\common_runtime\gpu\gpu_device.cc:1423] Adding visible gpu devices: 0
2019-07-05 22:47:10.446784: I T:\src\github\tensorflow\tensorflow\core\common_runtime\gpu\gpu_device.cc:911] Device interconnect StreamExecutor with strength 1 edge matrix:
2019-07-05 22:47:10.447031: I T:\src\github\tensorflow\tensorflow\core\common_runtime\gpu\gpu_device.cc:917] 0
2019-07-05 22:47:10.447155: I T:\src\github\tensorflow\tensorflow\core\common_runtime\gpu\gpu_device.cc:930] 0: N
2019-07-05 22:47:10.448009: I T:\src\github\tensorflow\tensorflow\core\common_runtime\gpu\gpu_device.cc:1041] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 3033 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1050 Ti, pci bus id: 0000:01:00.0, compute capability: 6.1)
Traceback (most recent call last):
File "D:/test/Relation-Classification-using-Bidirectional-LSTM-Tree-master/LSTM Seq and Tree/model3v1.py", line 767, in
saver.restore(sess, model)
File "C:\Users\damao\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\training\saver.py", line 1769, in restore
raise ValueError("Can't load save_path when it is None.")
ValueError: Can't load save_path when it is None.
Process finished with exit code 1
I am a new learner. Could you please tell me how to solve this problem?Thank you very much.
The text was updated successfully, but these errors were encountered:
WARNING:tensorflow:From C:\Users\damao\AppData\Roaming\Python\Python36\site-packages\tensorflow\contrib\learn\python\learn\datasets\base.py:198: retry (from tensorflow.contrib.learn.python.learn.datasets.base) is deprecated and will be removed in a future version.
Instructions for updating:
Use the retry module or similar alternatives.
WARNING:tensorflow:From D:/test/Relation-Classification-using-Bidirectional-LSTM-Tree-master/LSTM Seq and Tree/model3v1.py:440: arg_max (from tensorflow.python.ops.gen_math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use
argmax
instead2019-07-05 22:47:07.901705: I T:\src\github\tensorflow\tensorflow\core\platform\cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
2019-07-05 22:47:09.159543: I T:\src\github\tensorflow\tensorflow\core\common_runtime\gpu\gpu_device.cc:1344] Found device 0 with properties:
name: GeForce GTX 1050 Ti major: 6 minor: 1 memoryClockRate(GHz): 1.62
pciBusID: 0000:01:00.0
totalMemory: 4.00GiB freeMemory: 3.30GiB
2019-07-05 22:47:09.160428: I T:\src\github\tensorflow\tensorflow\core\common_runtime\gpu\gpu_device.cc:1423] Adding visible gpu devices: 0
2019-07-05 22:47:10.446784: I T:\src\github\tensorflow\tensorflow\core\common_runtime\gpu\gpu_device.cc:911] Device interconnect StreamExecutor with strength 1 edge matrix:
2019-07-05 22:47:10.447031: I T:\src\github\tensorflow\tensorflow\core\common_runtime\gpu\gpu_device.cc:917] 0
2019-07-05 22:47:10.447155: I T:\src\github\tensorflow\tensorflow\core\common_runtime\gpu\gpu_device.cc:930] 0: N
2019-07-05 22:47:10.448009: I T:\src\github\tensorflow\tensorflow\core\common_runtime\gpu\gpu_device.cc:1041] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 3033 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1050 Ti, pci bus id: 0000:01:00.0, compute capability: 6.1)
Traceback (most recent call last):
File "D:/test/Relation-Classification-using-Bidirectional-LSTM-Tree-master/LSTM Seq and Tree/model3v1.py", line 767, in
saver.restore(sess, model)
File "C:\Users\damao\AppData\Roaming\Python\Python36\site-packages\tensorflow\python\training\saver.py", line 1769, in restore
raise ValueError("Can't load save_path when it is None.")
ValueError: Can't load save_path when it is None.
Process finished with exit code 1
I am a new learner. Could you please tell me how to solve this problem?Thank you very much.
The text was updated successfully, but these errors were encountered: