Problem in running main.py

[denabazazian]

I have this error when I am running the python3 main.py InceptionTime :

iter 0 dataset_name: Coffee Already_done /media/Disk1/projects/Time_series/data/results/inception/TSC/ Coffee dataset_name: Meat Already_done /media/cttc/Disk1/projects/Time_series/data/results/inception/TSC/ Meat iter 1 dataset_name: Coffee Already_done /media/Disk1/projects/Time_series/data/results/inception/TSC_itr_1/ Coffee dataset_name: Meat Already_done /media/cttc/Disk1/projects/Time_series/data/results/inception/TSC_itr_1/ Meat iter 2 dataset_name: Coffee Already_done /media/Disk1/projects/Time_series/data/results/inception/TSC_itr_2/ Coffee dataset_name: Meat Already_done /media/cttc/Disk1/projects/Time_series/data/results/inception/TSC_itr_2/ Meat iter 3 dataset_name: Coffee Already_done /media/Disk1/projects/Time_series/data/results/inception/TSC_itr_3/ Coffee dataset_name: Meat Already_done /media/cttc/Disk1/projects/Time_series/data/results/inception/TSC_itr_3/ Meat iter 4 dataset_name: Coffee Using TensorFlow backend. 2020-02-18 11:55:41.451561: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA 2020-02-18 11:55:41.553535: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:964] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2020-02-18 11:55:41.553936: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1432] Found device 0 with properties: name: GeForce RTX 2080 Ti major: 7 minor: 5 memoryClockRate(GHz): 1.545 pciBusID: 0000:0a:00.0 totalMemory: 10.76GiB freeMemory: 10.32GiB 2020-02-18 11:55:41.553949: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2020-02-18 11:55:41.742036: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2020-02-18 11:55:41.742067: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2020-02-18 11:55:41.742072: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2020-02-18 11:55:41.742141: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 9960 MB memory) -> physical GPU (device: 0, name: GeForce RTX 2080 Ti, pci bus id: 0000:0a:00.0, compute capability: 7.5) Segmentation fault (core dumped)

I have 10.32GiB free memory on the GPU and I suppose this error didn't raise due to the lack of memory space since it would occupy 9960 MB in memory. In any case I also tried to reduce the data size based on this line but it was not very clear about how can we manage it if the data is too big. I have also tried to run it just with 'Coffee' by editing this line to UNIVARIATE_DATASET_NAMES = ['Coffee'], but the memory is still 9960 MB and I have the same error. I have also tried to run python3 main.py InceptionTime_xp, but the same error happened. I would appreciate it if you could provide any clue that why this error happens and how can I solve it.

[hfawaz]

Thanks for sharing the issue. I am not sure if such problem is due to using another version of tensorflow. I will be updating the repository soon to make sure we are using tensorflow 2.1 Stay tuned for the update.

[denabazazian]

Thanks for your quick reply @hfawaz . I have installed the same tensorflow version (1.12.0) as you mentioned in requirements. I don't think if the problem is related to the TF version.