tensorflow gpu无法创建会话

我正在使用nVIDIA 950M图形设备开发Ubuntu18.04，尝试安装tensorflow gpu、cuda和cudnn，并一起工作

我首先尝试安装nVIDIA驱动程序、CUDA9.0、CUDNN7.1和tensorflow gpu 1.8。按照以下步骤完成安装步骤，但测试运行失败，如下所示：

import tensorflow as tf

/usr/local/lib/python2.7/dist packages/h5py/init.py:36:FutureWarning:将issubdtype的第二个参数从

float

转换为

np。不推荐使用floating

。将来，它将被视为

np.float64==np.dtype（float.type

。 from.\u conv导入寄存器\u转换器作为\u寄存器\u转换器

a=tf.constant(10)
b=tf.constant(39)
tf.Session()

但我得到了以下错误：

2018-06-22 22:42:44.102246: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA

2018-06-22 22:42:44.373094: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:898] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero

2018-06-22 22:42:44.373508: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1356] Found device 0 with properties: 

name: GeForce GTX 950M major: 5 minor: 0 memoryClockRate(GHz): 0.928
pciBusID: 0000:01:00.0

totalMemory: 3.95GiB freeMemory: 3.91GiB

2018-06-22 22:42:44.373526: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1435] Adding visible gpu devices: 0

2018-06-22 22:42:44.438843: E tensorflow/core/common_runtime/direct_session.cc:154] Internal: CUDA runtime implicit initialization on GPU:0 failed. Status: unknown error

Traceback (most recent call last):

File `<stdin>`, line 1, in <module>

File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 1560, in __init__

super(Session, self).__init__(target, graph, config=config)

File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 633, in __init__

self._session = tf_session.TF_NewSession(self._graph._c_graph, opts)
tensorflow.python.framework.errors_impl.InternalError: Failed to create session.

同时检查

deviceQuery

./deviceQuery 

./deviceQuery Starting...

CUDA Device Query (Runtime API) version (CUDART static linking)

Detected 1 CUDA Capable device(s)

Device 0: "GeForce GTX 950M"

CUDA Driver Version / Runtime Version          9.1 / 9.0

CUDA Capability Major/Minor version number:    5.0

Total amount of global memory:                 4046 MBytes (4242604032 bytes)

( 5) Multiprocessors, (128) CUDA Cores/MP:     640 CUDA Cores

GPU Max Clock rate:                            928 MHz (0.93 GHz)

Memory Clock rate:                             2505 Mhz

Memory Bus Width:                              128-bit

L2 Cache Size:                                 2097152 bytes

Maximum Texture Dimension Size (x,y,z)         1D=(65536), 2D=(65536, 65536), 3D=(4096, 4096, 4096)

Maximum Layered 1D Texture Size, (num) layers  1D=(16384), 2048 layers

Maximum Layered 2D Texture Size, (num) layers  2D=(16384, 16384), 2048 layers

Total amount of constant memory:               65536 bytes

Total amount of shared memory per block:       49152 bytes

Total number of registers available per block: 65536

Warp size:                                     32

Maximum number of threads per multiprocessor:  2048

Maximum number of threads per block:           1024

Max dimension size of a thread block (x,y,z): (1024, 1024, 64)

Max dimension size of a grid size    (x,y,z): (2147483647, 65535, 65535)

Maximum memory pitch:                          2147483647 bytes

Texture alignment:                             512 bytes

Concurrent copy and kernel execution:          Yes with 1 copy engine(s)

Run time limit on kernels:                     No

Integrated GPU sharing Host Memory:            No

Support host page-locked memory mapping:       Yes

Alignment requirement for Surfaces:            Yes

Device has ECC support:                        Disabled

Device supports Unified Addressing (UVA):      Yes

Supports Cooperative Kernel Launch:            No

Supports MultiDevice Co-op Kernel Launch:      No

Device PCI Domain ID / Bus ID / location ID:   0 / 1 / 0

Compute Mode:

< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >

deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 9.1, CUDA Runtime 

Version = 9.0, NumDevs = 1

Result = PASS

/deviceQuery
/deviceQuery正在启动。。。
CUDA设备查询（运行时API）版本（CUDART静态链接）
检测到1个支持CUDA的设备
装置0：“GeForce GTX 950M”
CUDA驱动程序版本/运行时版本9.1/9.0
CUDA能力主要/次要版本号：5.0
全局内存总量：4046 MB（4242604032字节）
（5）多处理器，（128）CUDA核/MP:640个CUDA核
GPU最大时钟频率：928 MHz（0.93 GHz）
内存时钟频率：2505MHz
内存总线宽度：128位
二级缓存大小：2097152字节
最大纹理尺寸大小（x，y，z）1D=（65536），2D=（655366556），3D=（409640964096）
最大分层1D纹理大小，（num）层1D=（16384），2048层
最大分层2D纹理大小，（num）层2D=（16384，16384），2048层
恒定内存总量：65536字节
每个块的共享内存总量：49152字节
每个块可用的寄存器总数：65536
经纱尺寸：32
每个多处理器的最大线程数：2048
每个块的最大线程数：1024
螺纹块的最大尺寸（x、y、z）：（1024、1024、64）
栅格尺寸的最大尺寸（x、y、z）：（2147483647、65535、65535）
最大内存间距：2147483647字节
纹理对齐：512字节
并发复制和内核执行：是，使用1个复制引擎
内核的运行时间限制：否
集成GPU共享主机内存：否
支持主机页锁定内存映射：是
表面对齐要求：是
设备具有ECC支持：已禁用
设备支持统一寻址（UVA）：是
支持协作内核启动：否
支持多设备协作内核启动：否
设备PCI域ID/总线ID/位置ID:0/1/0
计算模式：

deviceQuery，CUDA驱动程序=CUDART，CUDA驱动程序版本=9.1，CUDA运行时
版本=9.0，NumDevs=1
结果=通过

此外，其中一个CUDA样本测试无误。如何解决上述问题？最后但并非最不重要的一点是，当我使用NavigDA使用代码> Prime选择英伟达< /COD>并重新启动到文本模式时，我如何验证NVIDIA卡正在控制而不是集成卡？p>

---

那么，我还能做些什么来修复我的环境呢

我做

prime选择nvidia

，然后重新启动，做

prime选择查询

，它显示“nvidia”。这是否意味着nvidia卡正在使用？？但是为什么我要像下面这样使用

lspci-vnn | perl-lne“print if/^\d+\：.+（\[\S+\：\S+\]）/”查询PCI设备[，它显示intel图形卡处于控制之下？？？
lshw-c display
将显示所有显示卡，设备ID 0将是默认的。我宁愿说我通过使用“sudo”运行命令来解决这个问题
./deviceQuery 

./deviceQuery Starting...

CUDA Device Query (Runtime API) version (CUDART static linking)

Detected 1 CUDA Capable device(s)

Device 0: "GeForce GTX 950M"

CUDA Driver Version / Runtime Version          9.1 / 9.0

CUDA Capability Major/Minor version number:    5.0

Total amount of global memory:                 4046 MBytes (4242604032 bytes)

( 5) Multiprocessors, (128) CUDA Cores/MP:     640 CUDA Cores

GPU Max Clock rate:                            928 MHz (0.93 GHz)

Memory Clock rate:                             2505 Mhz

Memory Bus Width:                              128-bit

L2 Cache Size:                                 2097152 bytes

Maximum Texture Dimension Size (x,y,z)         1D=(65536), 2D=(65536, 65536), 3D=(4096, 4096, 4096)

Maximum Layered 1D Texture Size, (num) layers  1D=(16384), 2048 layers

Maximum Layered 2D Texture Size, (num) layers  2D=(16384, 16384), 2048 layers

Total amount of constant memory:               65536 bytes

Total amount of shared memory per block:       49152 bytes

Total number of registers available per block: 65536

Warp size:                                     32

Maximum number of threads per multiprocessor:  2048

Maximum number of threads per block:           1024

Max dimension size of a thread block (x,y,z): (1024, 1024, 64)

Max dimension size of a grid size    (x,y,z): (2147483647, 65535, 65535)

Maximum memory pitch:                          2147483647 bytes

Texture alignment:                             512 bytes

Concurrent copy and kernel execution:          Yes with 1 copy engine(s)

Run time limit on kernels:                     No

Integrated GPU sharing Host Memory:            No

Support host page-locked memory mapping:       Yes

Alignment requirement for Surfaces:            Yes

Device has ECC support:                        Disabled

Device supports Unified Addressing (UVA):      Yes

Supports Cooperative Kernel Launch:            No

Supports MultiDevice Co-op Kernel Launch:      No

Device PCI Domain ID / Bus ID / location ID:   0 / 1 / 0

Compute Mode:

< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >

deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 9.1, CUDA Runtime 

Version = 9.0, NumDevs = 1

Result = PASS