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 #174

Closed sunilitggu closed 8 years ago

sunilitggu commented 8 years ago

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)

terrytangyuan commented 8 years ago

Please submit an issue to TensorFlow instead. Thanks!