CODEWITHSUNDEEP
tensorflowpycharm
Wojtek Szczęsny
Wojtek Szczęsny

Reputation: 5

No module named tensorflow after installation?

I installed tensorflow-gpu but I got error in Pycharm:

ModuleNotFoundError: No module named 'tensorflow'

I checked in terminal:

$ pip3 list|grep tensorflow
tensorflow-gpu                     1.4.0     
tensorflow-tensorboard             0.4.0

Edit: ( after installation using venv):

Successfully installed tensorflow-gpu-1.12.0
(venv) wojtek@wojtek-GF63-8RC:~$ python -c "import tensorflow as tf; tf.enable_eager_execution(); print(tf.reduce_sum(tf.random_normal([1000, 1000])))"
2018-12-17 21:49:14.893016: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2018-12-17 21:49:14.961123: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:964] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2018-12-17 21:49:14.961466: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1432] Found device 0 with properties: 
name: GeForce GTX 1050 major: 6 minor: 1 memoryClockRate(GHz): 1.493
pciBusID: 0000:01:00.0
totalMemory: 3.95GiB freeMemory: 3.58GiB
2018-12-17 21:49:14.961479: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0
2018-12-17 21:49:15.148507: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix:
2018-12-17 21:49:15.148538: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988]      0 
2018-12-17 21:49:15.148544: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0:   N 
2018-12-17 21:49:15.148687: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 3306 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1050, pci bus id: 0000:01:00.0, compute capability: 6.1)
tf.Tensor(918.94904, shape=(), dtype=float32)

Upvotes: 0

Views: 200

Answers (1)

IanQ
IanQ

Reputation: 2109

You'll want to configure the interpreter src

1) In the Project Interpreters page, select one of the configured interpreters or virtual environments.

2) Click Edit.

3) In the Edit Python Interpreter dialog box that opens, type the desired interpreter name. Changing interpreter's name

The Python interpreter name specified in the Name field, becomes visible in the list of available interpreters.

If necessary, change the path to the Python executable.

Upvotes: 1

Related Questions