python-tensorflowHow can I test a Python TensorFlow GPU?
- Install TensorFlow GPU on your local machine.
- Verify that your system has a compatible GPU with the Nvidia GPU-Driver.
- Create a virtual environment with
python -m venv <env_name>
and activate it withsource <env_name>/bin/activate
. - Install the TensorFlow GPU version:
pip install --upgrade tensorflow-gpu
. - Run the following code snippet to check if the installation was successful:
import tensorflow as tf
tf.test.is_gpu_available()
Output example
True
- To further test the installation, you can run the following code snippet:
import tensorflow as tf
tf.test.gpu_device_name()
Output example
/device:GPU:0
- You can also use the TensorFlow GPU Test to check the installation.
More of Python Tensorflow
- How can I check the compatibility of different versions of Python and TensorFlow?
- ¿Cómo implementar reconocimiento facial con TensorFlow y Python?
- How can I use TensorFlow Lite with XNNPACK in Python?
- How do I install Tensorflow with a Python wheel (whl) file?
- How do I check which version of TensorFlow I am using with Python?
- How do I uninstall Python TensorFlow?
- How do I use Python and TensorFlow Placeholders?
- How can I use Python and TensorFlow to handle illegal hardware instructions in Zsh?
- How do I resolve a SymbolAlreadyExposedError when the symbol "zeros" is already exposed as () in TensorFlow Python util tf_export?
- How can I use Python and TensorFlow to implement YOLO object detection?
See more codes...