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| author |  Nupur Garg <nupurgarg@google.com> | 2018-08-28 10:38:26 -0700 |
|---|---|---|
| committer |  TensorFlower Gardener <gardener@tensorflow.org> | 2018-08-28 10:46:14 -0700 |
| commit | 65a7ae95d431b98ab4afc796b1bc9854d1d14286 (patch) | |
| tree | 7766c59f24d2abb805c246a1d199458a3c2eec7b /tensorflow/contrib/lite/python | |
| parent | 4f4e1b48862c30a21dedffb7a1929a2b2600ec9f (diff) | |
Internal change.
PiperOrigin-RevId: 210565419
Diffstat (limited to 'tensorflow/contrib/lite/python')
| -rw-r--r-- | tensorflow/contrib/lite/python/tflite_convert.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/contrib/lite/python/tflite_convert.py b/tensorflow/contrib/lite/python/tflite_convert.py index 7d7a4ba94a..46bdb3e553 100644 --- a/tensorflow/contrib/lite/python/tflite_convert.py +++ b/tensorflow/contrib/lite/python/tflite_convert.py @@ -312,7 +312,7 @@ def run_main(_): "quantization via \"dummy quantization\". (default None)")) parser.add_argument( "--quantize_weights", - type=bool, + action="store_true", help=("Store float weights as quantized weights followed by dequantize " "operations. Inference is still done in FLOAT, but reduces model " "size (at the cost of accuracy and latency).")) |