tensorflow / skflow

Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning

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can not run two tensorflow program one by one

sunilitggu opened this issue · comments

When I ran first time a program it executed fine, second time same program it gave this error.

I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:900] 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_init.cc:102] Found device 0 with properties:
name: GeForce GTX 980 Ti
major: 5 minor: 2 memoryClockRate (GHz) 1.291
pciBusID 0000:01:00.0
Total memory: 6.00GiB
Free memory: 117.19MiB
I tensorflow/core/common_runtime/gpu/gpu_init.cc:126] DMA: 0
I tensorflow/core/common_runtime/gpu/gpu_init.cc:136] 0: Y
I tensorflow/core/common_runtime/gpu/gpu_device.cc:755] Creating TensorFlow device (/gpu:0) -> (device: 0, name: GeForce GTX 980 Ti, pci bus id: 0000:01:00.0)
E tensorflow/stream_executor/cuda/cuda_driver.cc:932] failed to allocate 117.19M (122880000 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY
F tensorflow/core/common_runtime/gpu/gpu_device.cc:163] Check failed: err == cudaSuccess (2 vs. 0)
Aborted (core dumped)

Please submit an issue to TensorFlow instead. Thanks!