> 2018 01:55:54.597937: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports
> instructions that this TensorFlow binary was not compiled to use: AVX2
> FMA
> 2018 01:55:54.716562: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:897] successful
> NUMA node read from SysFS had negative value (), but there must be
> at least one NUMA node, so returning NUMA node zero
> 2018 01:55:54.717353: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1405] Found device 0
> with properties:
> name: GeForce 840M major: 5 minor: 0 memoryClockRate(GHz): 1.124
> pciBusID: 0000:03:00.0
> totalMemory: 3.95GiB freeMemory: 3.32GiB
> 2018 01:55:54.717375: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1484] Adding visible
> gpu devices: 0
> 2018 01:55:58.548292: I tensorflow/core/common_runtime/gpu/gpu_device.cc:965] Device
> interconnect StreamExecutor with strength 1 edge matrix:
> 2018 01:55:58.548327: I tensorflow/core/common_runtime/gpu/gpu_device.cc:971] 0
> 2018 01:55:58.548333: I tensorflow/core/common_runtime/gpu/gpu_device.cc:984] 0: N
> 2018 01:55:58.549052: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1097] Created
> TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with
> 3033 MB memory) ‑> physical GPU (device: 0, name: GeForce 840M, pci
> bus id: 0000:03:00.0, compute capability: 5.0)
> The X11 connection broke (error 1). Did the X11 server die?
> 2018 02:03:00.942213: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports
> instructions that this TensorFlow binary was not compiled to use: AVX2
> FMA
> 2018 02:03:01.011004: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:897] successful
> NUMA node read from SysFS had negative value (), but there must be
> at least one NUMA node, so returning NUMA node zero
> 2018 02:03:01.011795: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1405] Found device 0
> with properties:
> name: GeForce 840M major: 5 minor: 0 memoryClockRate(GHz): 1.124
> pciBusID: 0000:03:00.0
> totalMemory: 3.95GiB freeMemory: 3.25GiB
> 2018 02:03:01.011822: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1484] Adding visible
> gpu devices: 0
> 2018 02:03:01.816586: I tensorflow/core/common_runtime/gpu/gpu_device.cc:965] Device
> interconnect StreamExecutor with strength 1 edge matrix:
> 2018 02:03:01.816632: I tensorflow/core/common_runtime/gpu/gpu_device.cc:971] 0
> 2018 02:03:01.816640: I tensorflow/core/common_runtime/gpu/gpu_device.cc:984] 0: N
> 2018 02:03:01.816883: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1097] Created
> TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with
> 2964 MB memory) ‑> physical GPU (device: 0, name: GeForce 840M, pci
> bus id: 0000:03:00.0, compute capability: 5.0)
> The X11 connection broke (error 1). Did the X11 server die?
> 2018 02:28:52.085086: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports
> instructions that this TensorFlow binary was not compiled to use: AVX2
> FMA
> 2018 02:28:52.155323: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:897] successful
> NUMA node read from SysFS had negative value (), but there must be
> at least one NUMA node, so returning NUMA node zero
> 2018 02:28:52.156011: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1405] Found device 0
> with properties:
> name: GeForce 840M major: 5 minor: 0 memoryClockRate(GHz): 1.124
> pciBusID: 0000:03:00.0
> totalMemory: 3.95GiB freeMemory: 3.22GiB
> 2018 02:28:52.156029: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1484] Adding visible
> gpu devices: 0
> 2018 02:28:52.932596: I tensorflow/core/common_runtime/gpu/gpu_device.cc:965] Device
> interconnect StreamExecutor with strength 1 edge matrix:
> 2018 02:28:52.932639: I tensorflow/core/common_runtime/gpu/gpu_device.cc:971] 0
> 2018 02:28:52.932650: I tensorflow/core/common_runtime/gpu/gpu_device.cc:984] 0: N
> 2018 02:28:52.932903: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1097] Created
TensorFlow设备（/ job：localhost /副本：0 /任务：0 /设备：GPU：0与 2930 MB内存）->物理GPU（设备：0，名称：GeForce 840M，pci 总线ID：0000：03：00.0，计算能力：5.0） X11连接断开（错误1）。 X11服务器死了吗？ 2018 02：37：38.565823：I tensorflow / core / platform / cpu_feature_guard.cc：141]您的CPU支持 TensorFlow二进制文件未编译使用的指令：AVX2 FMA 2018 02：37：38.639277：我tensorflow / stream_executor / cuda / cuda_gpu_executor.cc：897]成功 从SysFS读取的NUMA节点具有负值（），但必须存在 至少一个NUMA节点，因此返回NUMA节点为零 2018 02：37：38.639944：I tensorflow / core / common_runtime / gpu / gpu_device.cc：1405]找到设备0 具有属性： 名称：GeForce 840M主要：5次要：0 memoryClockRate（GHz）：1.124 pciBusID：0000：03：00.0 totalMemory：3.95GiB空闲内存：3.14GiB 2018 02：37：38.639960：I tensorflow / core / common_runtime / gpu / gpu_device.cc：1484]添加可见 gpu设备：0 2018 02：37：39.383392：我tensorflow / core / common_runtime / gpu / gpu_device.cc：965]设备 将StreamExecutor与强度1边缘矩阵互连： 2018 02：37：39.383445：我tensorflow / core / common_runtime / gpu / gpu_device.cc：971] 0 2018 02：37：39.383456：I tensorflow / core / common_runtime / gpu / gpu_device.cc：984] 0：N 2018 02：37：39.383700：我创建了tensorflow / core / common_runtime / gpu / gpu_device.cc：1097] TensorFlow设备（/ job：localhost /副本：0 /任务：0 /设备：GPU：0与 2856 MB内存）->物理GPU（设备：0，名称：GeForce 840M，pci 总线ID：0000：03：00.0，计算能力：5.0） X11连接断开（错误1）。 X11服务器死了吗？
我正在尝试使用keras训练模型，并且在上一个纪元之后，我在iPython控制台上收到此错误，然后我应该重新启动内核，但仍然无法正常工作 当我在终端中尝试相同的文件时，它工作正常。 我使用anaconda和virtualEnv，并且使用带有GPU支持的tensorflow