| /external/tensorflow/tensorflow/lite/python/optimize/ |
| D | calibration_wrapper_pybind11.cc | 50 bool allow_float, int activations_py_type, in PYBIND11_MODULE()
53 self.QuantizeModel(input_py_type, output_py_type, allow_float, in PYBIND11_MODULE()
58 bool allow_float, int activations_py_type) { in PYBIND11_MODULE() argument
60 self.QuantizeModel(input_py_type, output_py_type, allow_float, in PYBIND11_MODULE()
65 bool allow_float, const char* operator_output_name) { in PYBIND11_MODULE() argument
67 self.QuantizeModel(input_py_type, output_py_type, allow_float, in PYBIND11_MODULE()
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| D | calibrator.py | 68 allow_float, argument
103 np.dtype(output_type.as_numpy_dtype()).num, allow_float,
110 allow_float, argument
144 np.dtype(output_type.as_numpy_dtype()).num, allow_float, op_output_name)
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| D | calibration_wrapper.h | 67 bool allow_float, int activations_py_type);
73 bool allow_float, const char* operator_output_name);
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| D | calibration_wrapper.cc | 328 bool allow_float, in QuantizeModel() argument
352 TfLiteTypeToSchemaType(output_type), allow_float, in QuantizeModel()
367 bool allow_float, in QuantizeModel() argument
383 TfLiteTypeToSchemaType(output_type), allow_float, {op_name}, in QuantizeModel()
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| /external/tensorflow/tensorflow/lite/tools/optimize/ |
| D | quantize_model.h | 55 const TensorType& output_type, bool allow_float,
64 const TensorType& output_type, bool allow_float,
76 bool allow_float,
85 const TensorType& output_type, bool allow_float,
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| D | quantize_model.cc | 1015 ModelT* model, bool allow_float, in QuantizeWeightsInputOutput() argument
1039 !allow_float) { in QuantizeWeightsInputOutput()
1045 } else if (!property.quantizable && !allow_float) { in QuantizeWeightsInputOutput()
1426 const TensorType& output_type, bool allow_float, in QuantizeModel() argument
1442 model, allow_float, operator_names, real_value_op_set, activations_type, in QuantizeModel()
1464 bool allow_float, in QuantizeModelAllOperators() argument
1467 return QuantizeModel(builder, model, input_type, output_type, allow_float, in QuantizeModelAllOperators()
1474 const TensorType& output_type, bool allow_float, in QuantizeModel() argument
1476 return QuantizeModel(builder, model, input_type, output_type, allow_float, in QuantizeModel()
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| /external/python/cpython2/Lib/ |
| D | decimal.py | 864 other = _convert_other(other, allow_float=True)
872 other = _convert_other(other, allow_float=True)
880 other = _convert_other(other, allow_float=True)
889 other = _convert_other(other, allow_float=True)
898 other = _convert_other(other, allow_float=True)
907 other = _convert_other(other, allow_float=True)
5855 def _convert_other(other, raiseit=False, allow_float=False): argument
5867 if allow_float and isinstance(other, float):
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| /external/tensorflow/tensorflow/lite/python/ |
| D | lite.py | 474 allow_float): argument
497 inference_output_type, allow_float, activations_type)
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| /external/python/cpython3/Lib/ |
| D | _pydecimal.py | 6013 def _convert_other(other, raiseit=False, allow_float=False): argument
6025 if allow_float and isinstance(other, float):
|