MusicTransformer-tensorflow2.0
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generate error
When I run the generate.py ,the following error will happen. Exception ignored in: <bound method _CheckpointRestoreCoordinator.del of <tensorflow.python.training.tracking.util._CheckpointRestoreCoordinator object at 0x7f30cc3c29e8>> Traceback (most recent call last): File "/home/anaconda3/envs/musictransformer/lib/python3.6/site-packages/tensorflow/python/training/tracking/util.py", line 240, in del TypeError: 'NoneType' object is not callable
Can you show me an error log in this repository, not in core package? I can't check an error point cause of this logs are only in core library.
python generate.py 2>error.log ,the error log is as followed.
2019-09-26 13:44:43.489796: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcuda.so.1
2019-09-26 13:44:44.884253: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1640] Found device 0 with properties:
name: TITAN Xp major: 6 minor: 1 memoryClockRate(GHz): 1.582
pciBusID: 0000:03:00.0
2019-09-26 13:44:44.884581: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcudart.so.10.0
2019-09-26 13:44:44.887387: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcublas.so.10.0
2019-09-26 13:44:44.888597: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcufft.so.10.0
2019-09-26 13:44:44.888877: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcurand.so.10.0
2019-09-26 13:44:44.890685: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcusolver.so.10.0
2019-09-26 13:44:44.891889: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcusparse.so.10.0
2019-09-26 13:44:44.896214: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcudnn.so.7
2019-09-26 13:44:44.898391: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1763] Adding visible gpu devices: 0
2019-09-26 13:44:44.898990: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2019-09-26 13:44:45.041753: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x1be51334a0 executing computations on platform CUDA. Devices:
2019-09-26 13:44:45.041802: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): TITAN Xp, Compute Capability 6.1
2019-09-26 13:44:45.044782: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2100025000 Hz
2019-09-26 13:44:45.046064: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x1be522a930 executing computations on platform Host. Devices:
2019-09-26 13:44:45.046089: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0):
And I found that I always get the same result(the int sequence with the length and the same value) if I used the same 'inputs', no matter how I change the '--length'.
@fnyhy Did you set length value larger than 2048?