experiments/STT-tensorflow
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Ashutosh Hathidara 2020-03-12 21:50:25 +05:30
parent 5c5acccc90
commit 1127ae0a91
1 changed files with 3 additions and 2 deletions
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tensorflow/lite/python/lite.py
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@ -308,8 +308,9 @@ class TFLiteConverterV2(TFLiteConverterBase):
to apply when converting the model. E.g. `[Optimize.DEFAULT]`
representative_dataset: A representative dataset that can be used to
generate input and output samples for the model. The converter can use the
dataset to evaluate different optimizations. Note that this is a necessary
attribute since the conversion optimization depends upon it.
dataset to evaluate different optimizations. Note that this is an optional
attribute but it is necessary if INT8 is the only support builtin ops in
target ops.
experimental_new_converter: Experimental flag, subject to change.
Enables MLIR-based conversion instead of TOCO conversion.
experimental_new_quantizer: Experimental flag, subject to change.