What are the best practices for using GPU with TensorFlow?
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What are the best practices for using GPU with TensorFlow?
To optimize GPU usage with TensorFlow, ensure you have the latest CUDA and cuDNN versions installed. Also, use the tf.data API for efficient data loading.
How can I monitor GPU usage while training my model?
You can use tools like NVIDIA's nvidia-smi to monitor GPU usage in real-time. It provides information on memory usage, GPU utilization, and more.
Are there specific TensorFlow functions that are optimized for GPU?
Yes, TensorFlow operations like tf.matmul and tf.nn.conv2d are optimized for GPU. Always check the TensorFlow documentation for GPU-optimized functions.
What should I do if my model is not utilizing the GPU?
Ensure that your TensorFlow installation is configured to use the GPU. You can check this by running tf.config.list_physical_devices('GPU') to see if the GPU is recognized.
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