python train_c3d_network.py
2020-05-10 10:27:29.673651: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
2020-05-10 10:27:29.673683: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
2020-05-10 10:27:29.673694: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
2020-05-10 10:27:29.673701: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
2020-05-10 10:27:29.673709: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.
2020-05-10 10:27:29.766191: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:893] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-05-10 10:27:29.766453: I tensorflow/core/common_runtime/gpu/gpu_device.cc:955] Found device 0 with properties:
name: GeForce GTX 1650
major: 7 minor: 5 memoryClockRate (GHz) 1.74
pciBusID 0000:01:00.0
Total memory: 3.81GiB
Free memory: 3.61GiB
2020-05-10 10:27:29.766471: I tensorflow/core/common_runtime/gpu/gpu_device.cc:976] DMA: 0
2020-05-10 10:27:29.766478: I tensorflow/core/common_runtime/gpu/gpu_device.cc:986] 0: Y
2020-05-10 10:27:29.766487: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1045] Creating TensorFlow device (/gpu:0) -> (device: 0, name: GeForce GTX 1650, pci bus id: 0000:01:00.0)
Killed
python test_c3d_network.py
2020-05-10 11:09:10.013742: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
2020-05-10 11:09:10.013774: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
2020-05-10 11:09:10.013784: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
2020-05-10 11:09:10.013792: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
2020-05-10 11:09:10.013799: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.
2020-05-10 11:09:10.659758: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:893] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-05-10 11:09:10.660012: I tensorflow/core/common_runtime/gpu/gpu_device.cc:955] Found device 0 with properties:
name: GeForce GTX 1650
major: 7 minor: 5 memoryClockRate (GHz) 1.74
pciBusID 0000:01:00.0
Total memory: 3.81GiB
Free memory: 3.61GiB
2020-05-10 11:09:10.660027: I tensorflow/core/common_runtime/gpu/gpu_device.cc:976] DMA: 0
2020-05-10 11:09:10.660032: I tensorflow/core/common_runtime/gpu/gpu_device.cc:986] 0: Y
2020-05-10 11:09:10.660040: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1045] Creating TensorFlow device (/gpu:0) -> (device: 0, name: GeForce GTX 1650, pci bus id: 0000:01:00.0)
Killed
我一运行,进程就被杀死,是硬件问题,还是需要修改代码呢?怎么修改呢,谢谢