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Edit Hexagon documentation to reflect new supported models

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Sachin Joglekar 2020-05-18 13:36:18 -07:00 committed by TensorFlower Gardener
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tensorflow/lite/g3doc/performance/hexagon_delegate.md
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@ -22,15 +22,15 @@ are supported, including:
**Supported models:**
The Hexagon delegate currently supports quantized models generated using
[quantization-aware training](https://github.com/tensorflow/tensorflow/tree/r1.13/tensorflow/contrib/quantize),
e.g.,
[these quantized models](https://www.tensorflow.org/lite/guide/hosted_models#quantized_models)
hosted on the TensorFlow Lite repo. It does not (yet) support models with
[8-bit symmetric quantization spec](https://www.tensorflow.org/lite/performance/quantization_spec).
Sample models include
[MobileNet V1](https://storage.googleapis.com/download.tensorflow.org/models/mobilenet_v1_2018_08_02/mobilenet_v1_1.0_224_quant.tgz),
[SSD Mobilenet](https://storage.googleapis.com/download.tensorflow.org/models/tflite/coco_ssd_mobilenet_v1_1.0_quant_2018_06_29.zip).
The Hexagon delegate supports all models that conform to our
[8-bit symmetric quantization spec](https://www.tensorflow.org/lite/performance/quantization_spec),
including those generated using
[post-training integer quantization](https://www.tensorflow.org/lite/performance/post_training_integer_quant).
UInt8 models trained with the legacy
[quantization-aware training](https://github.com/tensorflow/tensorflow/tree/r1.13/tensorflow/contrib/quantize)
path are also supported, for e.g.,
[these quantized versions](https://www.tensorflow.org/lite/guide/hosted_models#quantized_models)
on our Hosted Models page.
## Hexagon Delegate Java API
@ -254,10 +254,6 @@ ro.board.platform`).
## FAQ
* Will the delegate support models created using
[post-training quantization](https://www.tensorflow.org/lite/performance/post_training_quantization)?
* This is tentatively planned for a future release, though there is no
concrete timeline.
* Which ops are supported by the delegate?
* See the current list of [supported ops and constraints](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/lite/experimental/delegates/hexagon/README.md)
* How can I tell that the model is using the DSP when I enable the delegate?