Searched refs:post_training_quantize (Results 1 – 14 of 14) sorted by relevance
| /external/tensorflow/tensorflow/lite/python/ |
| D | convert.py | 53 not toco_flags.post_training_quantize)
318 post_training_quantize=False, argument
344 toco.post_training_quantize = post_training_quantize
377 post_training_quantize=False, argument
486 post_training_quantize, quantize_to_float16,
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| D | tflite_convert.py | 207 if flags.post_training_quantize:
216 if not flags.post_training_quantize:
685 tflite_flags.post_training_quantize,
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| D | lite_test.py | 850 self.assertFalse(quantized_converter.post_training_quantize)
853 quantized_converter.post_training_quantize = True
854 self.assertTrue(quantized_converter.post_training_quantize)
1500 converter.post_training_quantize = True
1504 converter.post_training_quantize = False
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| /external/tensorflow/tensorflow/lite/toco/ |
| D | toco_cmdline_flags.cc | 180 Flag("post_training_quantize", parsed_flags.post_training_quantize.bind(), in ParseTocoFlagsFromCommandLineFlags()
181 parsed_flags.post_training_quantize.default_value(), in ParseTocoFlagsFromCommandLineFlags()
286 READ_TOCO_FLAG(post_training_quantize, FlagRequirement::kNone); in ReadTocoFlagsFromCommandLineFlags()
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| D | args.h | 177 Arg<bool> post_training_quantize = Arg<bool>(false); member
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| D | toco_flags.proto | 177 // DEPRECATED: Please use post_training_quantize instead.
192 optional bool post_training_quantize = 26 [default = false]; field
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| D | toco_tooling.cc | 490 if (toco_flags.post_training_quantize()) { in Export()
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| /external/tensorflow/tensorflow/lite/tools/optimize/g3doc/ |
| D | quantize_weights.md | 9 `--post_training_quantize` flag to your original tflite_convert invocation. For
16 --post_training_quantize
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| /external/tensorflow/tensorflow/compiler/mlir/lite/transforms/ |
| D | prepare_quantize.cc | 64 static llvm::cl::opt<bool> post_training_quantize( variable
111 quant_specs_.post_training_quantization = post_training_quantize; in PrepareQuantizePass()
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| /external/tensorflow/tensorflow/lite/g3doc/convert/ |
| D | api_updates.md | 31 `post_training_quantize`, `default_ranges_stats`,
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| /external/tensorflow/tensorflow/lite/testing/model_coverage/ |
| D | model_coverage_lib.py | 627 converter, post_training_quantize=True, **kwargs)
830 post_training_quantize=True,
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| D | model_coverage_lib_test.py | 224 model_coverage.test_keras_model(keras_file, post_training_quantize=True)
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| /external/tensorflow/tensorflow/compiler/mlir/lite/python/ |
| D | tf_tfl_flatbuffer_helpers.cc | 252 if (toco_flags.post_training_quantize()) { in PopulateQuantizationSpecs()
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| /external/tensorflow/tensorflow/lite/g3doc/r1/convert/ |
| D | cmdline_reference.md | 131 * `--post_training_quantize`. Type: boolean. Default: False. Boolean
138 `--post_training_quantize=True`.
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