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    Searched refs:post_training_quantize (Results 1 - 8 of 8) sorted by null

  /external/tensorflow/tensorflow/lite/python/
tflite_convert.py 179 if flags.post_training_quantize:
180 converter.post_training_quantize = flags.post_training_quantize
182 print("--post_training_quantize quantizes a graph of inference_type "
365 dest="post_training_quantize",
369 "--post_training_quantize",
370 dest="post_training_quantize",
convert.py 245 post_training_quantize=False,
294 post_training_quantize: Boolean indicating whether to quantize the weights
333 toco.post_training_quantize = post_training_quantize
lite_test.py 498 self.assertFalse(quantized_converter.post_training_quantize)
500 quantized_converter.post_training_quantize = True
501 self.assertTrue(quantized_converter.post_training_quantize)
    [all...]
  /external/tensorflow/tensorflow/lite/toco/
toco_cmdline_flags.cc 163 "Deprecated. Please use --post_training_quantize instead."),
164 Flag("post_training_quantize", parsed_flags.post_training_quantize.bind(),
165 parsed_flags.post_training_quantize.default_value(),
269 READ_TOCO_FLAG(post_training_quantize, FlagRequirement::kNone);
316 "--post_training_quantize. Please switch --post_training_quantize.";
323 << "--post_training_quantize quantizes a graph of inference_type "
args.h 174 Arg<bool> post_training_quantize = Arg<bool>(false); member in struct:toco::ParsedTocoFlags
toco_tooling.cc 452 params.quantize_weights = toco_flags.post_training_quantize();
  /external/tensorflow/tensorflow/lite/testing/model_coverage/
model_coverage_lib.py 79 flags are {"target_ops", "post_training_quantize"}.
86 if "post_training_quantize" in kwargs:
87 converter.post_training_quantize = kwargs["post_training_quantize"]
277 ValueError: post_training_quantize flag doesn't act as intended.
292 converter, post_training_quantize=True, **kwargs)
311 raise ValueError("--post_training_quantize flag unexpectedly altered the "
314 raise ValueError("--post_training_quantize flag was unable to quantize the "
model_coverage_lib_test.py 161 model_coverage.test_keras_model(keras_file, post_training_quantize=True)

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