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| author |  A. Unique TensorFlower <gardener@tensorflow.org> | 2017-11-14 10:54:28 -0800 |
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| committer | TensorFlower Gardener <gardener@tensorflow.org> | 2017-11-14 10:57:46 -0800 |
| commit | c674e27bfd68a6c990e694b6afd901bfeeaa006d (patch) | |
| tree | bf5bcf0f0432db68a2c951347d01ee03f69a4ca7 /tensorflow/contrib/lite/nnapi | |
| parent | f5669d905a28893c71ff44245da6ed5e13d55d1c (diff) | |
Merged commit includes the following changes:
175703479 by yifeif:
Internal change.
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175695370 by A. Unique TensorFlower:
Implements _shared_embedding_columns and adds some tests.
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175695349 by A. Unique TensorFlower:
Implements tf.metrics.true_negatives, adds missing tests and does some cleanup in tf.contrib.metrics.
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PiperOrigin-RevId: 175703479
Diffstat (limited to 'tensorflow/contrib/lite/nnapi')
| -rw-r--r-- | tensorflow/contrib/lite/nnapi/README.md | 15 |
1 files changed, 15 insertions, 0 deletions
diff --git a/tensorflow/contrib/lite/nnapi/README.md b/tensorflow/contrib/lite/nnapi/README.md new file mode 100644 index 0000000000..913467d176 --- /dev/null +++ b/tensorflow/contrib/lite/nnapi/README.md @@ -0,0 +1,15 @@ +# Android Neural Network API + +The Android Neural Networks API (NNAPI) is an Android C API designed for running +computationally intensive operators for machine learning on mobile devices. +Tensorflow Lite is designed to use the NNAPI to perform hardware-accelerated +inference operators on supported devices. +Based on the app’s requirements and the hardware capabilities on a device, the +NNAPI can distribute the computation workload across available on-device +processors, including dedicated neural network hardware, graphics processing +units (GPUs), and digital signal processors (DSPs). +For devices that lack a specialized vendor driver, the NNAPI runtime relies on +optimized code to execute requests on the CPU. For more information about the +NNAPI, please refer to the [NNAPI documentation](https://developer.android.com/ndk/guides/neuralnetworks/index.html) + + |