title: TensorFlow 1.14.0 is not using GPU
body: <p>I set up TensorFlow using <code>pip install --user tensorflow-gpu</code> on my Ubuntu 19.04 laptop. All dependencies like CUDA, CUDNN are installed to and working. But still, when importing TensorFlow and checking <code>tf.test.is_gpu_available()</code> gives me False. I have tried completely uninstalling and reinstalling TensorFlow, which did not work.
  Output of <code>tf.test.is_gpu_available()</code>:</p>
  
  <blockquote>
    <p>2019-06-27 14:06:18.359739: I
    tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports
    instructions that this TensorFlow binary was not compiled to use: AVX2
    FMA 2019-06-27 14:06:18.611194: I
    tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency:
    2194885000 Hz 2019-06-27 14:06:18.621295: I
    tensorflow/compiler/xla/service/service.cc:168] XLA service 0x19d54e0
    executing computations on platform Host. Devices: 2019-06-27
    14:06:18.621339: I tensorflow/compiler/xla/service/service.cc:175]<br>
    StreamExecutor device (0): ,  2019-06-27
    14:06:18.742193: I
    tensorflow/stream_executor/platform/default/dso_loader.cc:42]
    Successfully opened dynamic library libcuda.so.1 2019-06-27
    14:06:18.869601: I
    tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1005] successful
    NUMA node read from SysFS had negative value (-1), but there must be
    at least one NUMA node, so returning NUMA node zero 2019-06-27
    14:06:18.870469: I
    tensorflow/core/common_runtime/gpu/gpu_device.cc:1640] Found device 0
    with properties:  name: GeForce 920M major: 3 minor: 5
    memoryClockRate(GHz): 0.954 pciBusID: 0000:08:00.0 2019-06-27
    14:06:18.870675: I
    tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could
    not dlopen library 'libcudart.so.10.0'; dlerror: libcudart.so.10.0:
    cannot open shared object file: No such file or directory;
    LD_LIBRARY_PATH: :/usr/local/cuda/extras/CUPTI/lib64 2019-06-27
    14:06:18.870812: I
    tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could
    not dlopen library 'libcublas.so.10.0'; dlerror: libcublas.so.10.0:
    cannot open shared object file: No such file or directory;
    LD_LIBRARY_PATH: :/usr/local/cuda/extras/CUPTI/lib64 2019-06-27
    14:06:18.870973: I
    tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could
    not dlopen library 'libcufft.so.10.0'; dlerror: libcufft.so.10.0:
    cannot open shared object file: No such file or directory;
    LD_LIBRARY_PATH: :/usr/local/cuda/extras/CUPTI/lib64 2019-06-27
    14:06:18.871111: I
    tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could
    not dlopen library 'libcurand.so.10.0'; dlerror: libcurand.so.10.0:
    cannot open shared object file: No such file or directory;
    LD_LIBRARY_PATH: :/usr/local/cuda/extras/CUPTI/lib64 2019-06-27
    14:06:18.871228: I
    tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could
    not dlopen library 'libcusolver.so.10.0'; dlerror:
    libcusolver.so.10.0: cannot open shared object file: No such file or
    directory; LD_LIBRARY_PATH: :/usr/local/cuda/extras/CUPTI/lib64
    2019-06-27 14:06:18.871352: I
    tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could
    not dlopen library 'libcusparse.so.10.0'; dlerror:
    libcusparse.so.10.0: cannot open shared object file: No such file or
    directory; LD_LIBRARY_PATH: :/usr/local/cuda/extras/CUPTI/lib64
    2019-06-27 14:06:20.233321: I
    tensorflow/stream_executor/platform/default/dso_loader.cc:42]
    Successfully opened dynamic library libcudnn.so.7 2019-06-27
    14:06:20.233363: W
    tensorflow/core/common_runtime/gpu/gpu_device.cc:1663] Cannot dlopen
    some GPU libraries. Skipping registering GPU devices... 2019-06-27
    14:06:20.407248: I
    tensorflow/core/common_runtime/gpu/gpu_device.cc:1181] Device
    interconnect StreamExecutor with strength 1 edge matrix: 2019-06-27
    14:06:20.407318: I
    tensorflow/core/common_runtime/gpu/gpu_device.cc:1187]      0 
    2019-06-27 14:06:20.407351: I
    tensorflow/core/common_runtime/gpu/gpu_device.cc:1200] 0:   N 
    2019-06-27 14:06:20.441266: I
    tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1005] successful
    NUMA node read from SysFS had negative value (-1), but there must be
    at least one NUMA node, so returning NUMA node zero 2019-06-27
    14:06:20.443613: I tensorflow/compiler/xla/service/service.cc:168] XLA
    service 0x4ed6d40 executing computations on platform CUDA. Devices:
    2019-06-27 14:06:20.443670: I
    tensorflow/compiler/xla/service/service.cc:175]   StreamExecutor
    device (0): GeForce 920M, Compute Capability 3.5 False</p>
  </blockquote>
  
  <p>Output of deviceQuery from CUDA Samples:</p>
  
  <blockquote>
    <p>CUDA Device Query (Runtime API) version (CUDART static linking)</p>
    
    <p>Detected 1 CUDA Capable device(s)</p>
    
    <p>Device 0: "GeForce 920M"   CUDA Driver Version / Runtime Version<br>
    10.1 / 10.1   CUDA Capability Major/Minor version number:    3.5   Total amount of global memory:                 4046 MBytes (4242341888
    bytes)   ( 2) Multiprocessors, (192) CUDA Cores/MP:     384 CUDA Cores
    GPU Max Clock rate:                            954 MHz (0.95 GHz)<br>
    Memory Clock rate:                             900 Mhz   Memory Bus
    Width:                              64-bit   L2 Cache Size:<br>
    524288 bytes   Maximum Texture Dimension Size (x,y,z)<br>
    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:<br>
    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:<br>
    2147483647 bytes   Texture alignment:                             512
    bytes   Concurrent copy and kernel execution:          Yes with 1 copy
    engine(s)   Run time limit on kernels:                     Yes<br>
    Integrated GPU sharing Host Memory:            No   Support host
    page-locked memory mapping:       Yes   Alignment requirement for
    Surfaces:            Yes   Device has ECC support:<br>
    Disabled   Device supports Unified Addressing (UVA):      Yes   Device
    supports Compute Preemption:            No   Supports Cooperative
    Kernel Launch:            No   Supports MultiDevice Co-op Kernel
    Launch:      No   Device PCI Domain ID / Bus ID / location ID:   0 / 8
    / 0   Compute Mode:
         &lt; Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) ></p>
    
    <p>deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 10.1, CUDA
    Runtime Version = 10.1, NumDevs = 1 Result = PASS</p>
  </blockquote>