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Searched defs:activations_type (Results 1 – 7 of 7) sorted by relevance

/external/tensorflow/tensorflow/lite/python/optimize/
Dcalibrator_test.py34 def test_calibration_with_quantization(self, activations_type): argument
57 def test_calibration_with_quantization_allow_float(self, activations_type): argument
111 self, activations_type): argument
Dcalibrator.py147 activations_type=dtypes.int8, argument
Dcalibration_wrapper.cc578 TfLiteType activations_type = in QuantizeModel() local
/external/tensorflow/tensorflow/lite/tools/optimize/
Dquantize_model.cc149 const TensorType& activations_type, bool disable_per_channel = false) { in GetOperatorProperty()
214 const TensorType& activations_type) { in PopulateRealValueOpSet()
412 const TensorType& activations_type) { in SetInputType()
476 const TensorType& activations_type) { in SetOutputType()
539 const TensorType& activations_type, in SetInputAndOutputTypes()
690 TensorType activations_type, ErrorReporter* error_reporter) { in ApplyConstraints()
794 const TensorType& activations_type) { in SetOperatorPropertyADDSUBOperator()
875 const TensorType& activations_type, ErrorReporter* error_reporter) { in QuantizeOpInput()
1068 TensorType activations_type, ErrorReporter* error_reporter) { in QuantizeOpOutput()
1164 TensorType activations_type, in QuantizeIntermediateTensors()
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Dquantization_utils.cc106 TfLiteStatus GetQuantizationParams(TensorT* tensor, TensorType activations_type, in GetQuantizationParams()
752 TfLiteStatus QuantizeActivation(TensorT* tensor, TensorType activations_type, in QuantizeActivation()
/external/tensorflow/tensorflow/compiler/mlir/lite/quantization/lite/
Dquantize_model_test.cc50 const TensorType& activations_type, ErrorReporter* error_reporter, in QuantizeModel()
99 bool allow_float, const TensorType& activations_type, in QuantizeModelAllOperators()
111 const TensorType& activations_type, in QuantizeModelAllOperators()
/external/tensorflow/tensorflow/lite/python/
Dlite.py338 def activations_type(self): member in QuantizationMode
590 def _quantize(self, result, input_type, output_type, activations_type, argument