61c6c84964
This change moves //tensorflow/contrib/lite to //tensorflow/lite in preparation for TensorFlow 2.0's deprecation of contrib/. If you refer to TF Lite build targets or headers, you will need to update them manually. If you use TF Lite from the TensorFlow python package, "tf.contrib.lite" now points to "tf.lite". Please update your imports as soon as possible. For more details, see https://groups.google.com/a/tensorflow.org/forum/#!topic/tflite/iIIXOTOFvwQ @angersson and @aselle are conducting this migration. Please contact them if you have any further questions. PiperOrigin-RevId: 219536476
16 lines
865 B
Markdown
16 lines
865 B
Markdown
# Android Neural Network API
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The Android Neural Networks API (NNAPI) is an Android C API designed for running
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computationally intensive operators for machine learning on mobile devices.
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Tensorflow Lite is designed to use the NNAPI to perform hardware-accelerated
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inference operators on supported devices.
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Based on the app’s requirements and the hardware capabilities on a device, the
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NNAPI can distribute the computation workload across available on-device
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processors, including dedicated neural network hardware, graphics processing
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units (GPUs), and digital signal processors (DSPs).
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For devices that lack a specialized vendor driver, the NNAPI runtime relies on
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optimized code to execute requests on the CPU. For more information about the
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NNAPI, please refer to the [NNAPI documentation](https://developer.android.com/ndk/guides/neuralnetworks/index.html)
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