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it shows the error "Restore called with invalid save path" but the path exists! Anyone else encountered the same problem?
I tensorflow/stream_executor/dso_loader.cc:111] successfully opened CUDA library libcublas.so locally
I tensorflow/stream_executor/dso_loader.cc:111] successfully opened CUDA library libcudnn.so locally
I tensorflow/stream_executor/dso_loader.cc:111] successfully opened CUDA library libcufft.so locally
I tensorflow/stream_executor/dso_loader.cc:111] successfully opened CUDA library libcuda.so.1 locally
I tensorflow/stream_executor/dso_loader.cc:111] successfully opened CUDA library libcurand.so locally
{'checkpoint_dir': 'checkpoint',
'continue_train': None,
'controller_dim': 100,
'controller_layer_size': 1,
'epoch': 100000,
'input_dim': 10,
'is_train': False,
'max_length': 130,
'min_length': 1,
'output_dim': 10,
'read_head_size': 1,
'task': 'copy',
'test_max_length': 120,
'write_head_size': 1}
changepoint/copy_130
ln: failed to create symbolic link ‘copy_130/copy_10’: File exists
I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:925] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
I tensorflow/core/common_runtime/gpu/gpu_device.cc:951] Found device 0 with properties:
name: GeForce GTX 960
major: 5 minor: 2 memoryClockRate (GHz) 1.253
pciBusID 0000:01:00.0
Total memory: 3.94GiB
Free memory: 229.88MiB
I tensorflow/core/common_runtime/gpu/gpu_device.cc:972] DMA: 0
I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] 0: Y
I tensorflow/core/common_runtime/gpu/gpu_device.cc:1041] Creating TensorFlow device (/gpu:0) -> (device: 0, name: GeForce GTX 960, pci bus id: 0000:01:00.0)
[] Building a NTM model
Percent: [####################] 100.00% Finished.
[] Build a NTM model finished
[*] Reading checkpoints...
Traceback (most recent call last):
File "/home/user/Desktop/NTM-tensorflow-master/main.py", line 83, in
tf.app.run()
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/platform/app.py", line 30, in run
sys.exit(main(sys.argv[:1] + flags_passthrough))
File "/home/user/Desktop/NTM-tensorflow-master/main.py", line 70, in main
ntm.load(FLAGS.checkpoint_dir, FLAGS.task)
File "/home/user/Desktop/NTM-tensorflow-master/ntm.py", line 266, in load
self.saver.restore(self.sess, os.path.join(checkpoint_dir, ckpt_name))
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/saver.py", line 1342, in restore
"File path is: %r" % (save_path, file_path))
ValueError: Restore called with invalid save path: u'checkpoint/copy_130/NTM-copy_copy.model-3402'. File path is: u'checkpoint/copy_130/NTM-copy_copy.model-3402'
[Finished in 286.5s with exit code 1]
The text was updated successfully, but these errors were encountered:
When I run the test mode
$ python main.py --task copy --test_max_length 120 --max_length 130
it shows the error "Restore called with invalid save path" but the path exists! Anyone else encountered the same problem?
I tensorflow/stream_executor/dso_loader.cc:111] successfully opened CUDA library libcublas.so locally
I tensorflow/stream_executor/dso_loader.cc:111] successfully opened CUDA library libcudnn.so locally
I tensorflow/stream_executor/dso_loader.cc:111] successfully opened CUDA library libcufft.so locally
I tensorflow/stream_executor/dso_loader.cc:111] successfully opened CUDA library libcuda.so.1 locally
I tensorflow/stream_executor/dso_loader.cc:111] successfully opened CUDA library libcurand.so locally
{'checkpoint_dir': 'checkpoint',
'continue_train': None,
'controller_dim': 100,
'controller_layer_size': 1,
'epoch': 100000,
'input_dim': 10,
'is_train': False,
'max_length': 130,
'min_length': 1,
'output_dim': 10,
'read_head_size': 1,
'task': 'copy',
'test_max_length': 120,
'write_head_size': 1}
changepoint/copy_130
ln: failed to create symbolic link ‘copy_130/copy_10’: File exists
I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:925] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
I tensorflow/core/common_runtime/gpu/gpu_device.cc:951] Found device 0 with properties:
name: GeForce GTX 960
major: 5 minor: 2 memoryClockRate (GHz) 1.253
pciBusID 0000:01:00.0
Total memory: 3.94GiB
Free memory: 229.88MiB
I tensorflow/core/common_runtime/gpu/gpu_device.cc:972] DMA: 0
I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] 0: Y
I tensorflow/core/common_runtime/gpu/gpu_device.cc:1041] Creating TensorFlow device (/gpu:0) -> (device: 0, name: GeForce GTX 960, pci bus id: 0000:01:00.0)
[] Building a NTM model
Percent: [####################] 100.00% Finished.
[] Build a NTM model finished
[*] Reading checkpoints...
Traceback (most recent call last):
File "/home/user/Desktop/NTM-tensorflow-master/main.py", line 83, in
tf.app.run()
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/platform/app.py", line 30, in run
sys.exit(main(sys.argv[:1] + flags_passthrough))
File "/home/user/Desktop/NTM-tensorflow-master/main.py", line 70, in main
ntm.load(FLAGS.checkpoint_dir, FLAGS.task)
File "/home/user/Desktop/NTM-tensorflow-master/ntm.py", line 266, in load
self.saver.restore(self.sess, os.path.join(checkpoint_dir, ckpt_name))
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/saver.py", line 1342, in restore
"File path is: %r" % (save_path, file_path))
ValueError: Restore called with invalid save path: u'checkpoint/copy_130/NTM-copy_copy.model-3402'. File path is: u'checkpoint/copy_130/NTM-copy_copy.model-3402'
[Finished in 286.5s with exit code 1]
The text was updated successfully, but these errors were encountered: