python-tensorflowHow do I check if my GPU is compatible with Python TensorFlow?

To check if your GPU is compatible with Python TensorFlow, you can use the tf.test.is_gpu_available() method. This method returns a boolean value indicating whether TensorFlow can access a GPU.

Example code

import tensorflow as tf
tf.test.is_gpu_available()

Example output:

True

This example code imports the TensorFlow library and uses the tf.test.is_gpu_available() method to check if a GPU is available. If a GPU is available, the method will return True.

If you want to check which GPUs are available, you can use the tf.config.list_physical_devices('GPU') method.

Example code

import tensorflow as tf
tf.config.list_physical_devices('GPU')

Example output:

[PhysicalDevice(name='/physical_device:GPU:0', device_type='GPU')]

This example code imports the TensorFlow library and uses the tf.config.list_physical_devices('GPU') method to list the available GPUs. The output shows the name of the physical device and its type.

Helpful links

• TensorFlow GPU support
• tf.test.is_gpu_available()
• tf.config.list_physical_devices()

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