我正在尝试在rstudio上运行keras。我已经在服务器上设置了它。当我使用install_keras()安装它时可以正常工作，但是我想要gpu访问，所以我尝试了install_keras(method = "virtualenv", version = "gpu")，现在当我尝试运行任何命令tokenizer <- text_tokenizer(num_words = 20000)时出现错误。我已经尽一切努力解决这个问题...
Error: Python module tensorflow.python.keras was not found.
Detected Python configuration:
python: /data/users/USER/.virtualenvs/r-tensorflow/bin/python
libpython: /usr/lib64/libpython2.7.so.1.0
pythonhome: /usr:/usr
virtualenv: /data/users/USER/.virtualenvs/r-tensorflow/bin/activate_this.py
version: 2.7.5 (default, Jun 11 2019, 12:19:05) [GCC 4.8.5 20150623 (Red Hat 4.8.5-36)]
numpy: /data/users/USER/.virtualenvs/r-tensorflow/lib/python2.7/site-packages/numpy
numpy_version: 1.16.4
tensorflow: /data/users/USER/.virtualenvs/r-tensorflow/lib/python2.7/site-packages/tensorflow
python versions found:
/data/users/USER/.virtualenvs/r-tensorflow/bin/python
/usr/bin/python
/usr/bin/python3
/data/users/USER/env/bin/python
我认为它使用libpython2.7，但是当我运行install_keras(method = "virtualenv", version = "gpu")时，我不知道要指定哪个python，我在服务器上安装了python3.6。
> Sys.which("python")
python
"/data/users/USER/.virtualenvs/r-tensorflow/bin/python"
> use_python("/data/users/USER/.virtualenvs/r-tensorflow/bin/python2.7")
> Sys.which("python")
python
"/data/users/USER/.virtualenvs/r-tensorflow/bin/python"
我也尝试过：
use_condaenv('/data/users/USER/.virtualenvs/r-tensorflow')
mnist <- dataset_mnist()
给出与上面相同的错误。
我现在在哪里：
> sess = k$get_session()
2019-07-13 22:58:51.029412: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA
2019-07-13 22:58:51.065751: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcuda.so.1
2019-07-13 22:58:52.624324: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x1ed77740 executing computations on platform CUDA. Devices:
2019-07-13 22:58:52.624418: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): Tesla V100-PCIE-16GB, Compute Capability 7.0
2019-07-13 22:58:52.633197: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2300000000 Hz
2019-07-13 22:58:52.645011: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x1d332940 executing computations on platform Host. Devices:
2019-07-13 22:58:52.645055: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): <undefined>, <undefined>
2019-07-13 22:58:52.646280: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1640] Found device 0 with properties:
name: Tesla V100-PCIE-16GB major: 7 minor: 0 memoryClockRate(GHz): 1.38
pciBusID: 0000:3b:00.0
2019-07-13 22:58:52.646918: 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/lib64/R/lib::/lib:/usr/lib/jvm/jre/lib/amd64/server:/usr/lib/jvm/jre/lib/amd64:/usr/lib/jvm/java/lib/amd64:/usr/java/packages/lib/amd64:/lib:/usr/lib
2019-07-13 22:58:52.647010: 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/lib64/R/lib::/lib:/usr/lib/jvm/jre/lib/amd64/server:/usr/lib/jvm/jre/lib/amd64:/usr/lib/jvm/java/lib/amd64:/usr/java/packages/lib/amd64:/lib:/usr/lib
2019-07-13 22:58:52.647104: 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/lib64/R/lib::/lib:/usr/lib/jvm/jre/lib/amd64/server:/usr/lib/jvm/jre/lib/amd64:/usr/lib/jvm/java/lib/amd64:/usr/java/packages/lib/amd64:/lib:/usr/lib
2019-07-13 22:58:52.647190: 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/lib64/R/lib::/lib:/usr/lib/jvm/jre/lib/amd64/server:/usr/lib/jvm/jre/lib/amd64:/usr/lib/jvm/java/lib/amd64:/usr/java/packages/lib/amd64:/lib:/usr/lib
2019-07-13 22:58:52.647281: 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/lib64/R/lib::/lib:/usr/lib/jvm/jre/lib/amd64/server:/usr/lib/jvm/jre/lib/amd64:/usr/lib/jvm/java/lib/amd64:/usr/java/packages/lib/amd64:/lib:/usr/lib
2019-07-13 22:58:52.647364: 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/lib64/R/lib::/lib:/usr/lib/jvm/jre/lib/amd64/server:/usr/lib/jvm/jre/lib/amd64:/usr/lib/jvm/java/lib/amd64:/usr/java/packages/lib/amd64:/lib:/usr/lib
2019-07-13 22:58:52.647451: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcudnn.so.7'; dlerror: libcudnn.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/lib64/R/lib::/lib:/usr/lib/jvm/jre/lib/amd64/server:/usr/lib/jvm/jre/lib/amd64:/usr/lib/jvm/java/lib/amd64:/usr/java/packages/lib/amd64:/lib:/usr/lib
2019-07-13 22:58:52.647461: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1663] Cannot dlopen some GPU libraries. Skipping registering GPU devices...
2019-07-13 22:58:52.647485: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1181] Device interconnect StreamExecutor with strength 1 edge matrix:
2019-07-13 22:58:52.647493: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1187] 0
2019-07-13 22:58:52.647503: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1200] 0: N
编辑：我不认为我已经安装了CUDA ...-这就是为什么我会出错？
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 396.37 Driver Version: 396.37 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 Tesla V100-PCIE... Off | 00000000:3B:00.0 Off | 0 |
| N/A 35C P0 36W / 250W | 419MiB / 16160MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 312745 C /usr/lib/rstudio-server/bin/rsession 408MiB |
+-----------------------------------------------------------------------------+