TensorFlow Introduces ‘PluggableDevice’ Architecture To Integrate Accelerators (GPUs, TPUs) With TensorFlow Without Making Any Changes In The TensorFlow Code

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    TensorFlow introduces the PluggableDevice architecture, which seamlessly integrates accelerators (GPUs, TPUs) with TensorFlow without making any changes in the TensorFlow code. PluggableDevice, as the name suggests, provides plug-in options for registering the devices with TensorFlow. It is constructed using the StreamExecutor C API and builds on the work done for Modular TensorFlow. In TF 2.5, the PluggableDevice feature is available.

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