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| author |  Suharsh Sivakumar <suharshs@google.com> | 2018-02-20 13:58:28 -0800 |
|---|---|---|
| committer |  TensorFlower Gardener <gardener@tensorflow.org> | 2018-02-20 14:05:24 -0800 |
| commit | ce742213f15579034168b7f4271329430a4a32c5 (patch) | |
| tree | 4299233b756adb98ceee10489241909bb5ca95b9 /tensorflow/contrib/quantization | |
| parent | 0fad3428f4de84e10524a7ed5ed53b7e4b636edb (diff) | |
Add documentation to contrib/quantization to reduce confusion with contrib/quantize.
PiperOrigin-RevId: 186358131
Diffstat (limited to 'tensorflow/contrib/quantization')
| -rw-r--r-- | tensorflow/contrib/quantization/README.md | 7 |
1 files changed, 7 insertions, 0 deletions
diff --git a/tensorflow/contrib/quantization/README.md b/tensorflow/contrib/quantization/README.md new file mode 100644 index 0000000000..359950aaf3 --- /dev/null +++ b/tensorflow/contrib/quantization/README.md @@ -0,0 +1,7 @@ +The contrib/quantization package exposes a few TensorFlow quantization operations. + +If you are looking for quantized training rewrites that allow for training +quantized models that work with +[TensorFlow Lite](https://www.tensorflow.org/mobile/tflite/), you should look at +the [contrib/quantize](https://www.tensorflow.org/api_docs/python/tf/contrib/quantize) +package. |