Searched refs:inttype (Results 1 – 6 of 6) sorted by relevance
| /cmsis-nn-latest/Tests/UnitTest/ |
| D | add_mul_settings.py | 87 inttype = "int16_t"
90 inttype = "int8_t"
130 self.generate_c_array("input1", input_data1, datatype=inttype)
131 self.generate_c_array("input2", input_data2, datatype=inttype)
134 datatype=inttype)
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| D | pooling_settings.py | 77 inttype = tf.int16
80 inttype = tf.int8
106 interpreter = self.convert_and_interpret(model, inttype, input_data)
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| D | softmax_settings.py | 120 inttype = tf.int16
123 inttype = tf.int8
154 … interpreter = self.convert_and_interpret(model, inttype, tf.expand_dims(input_data, axis=0))
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| D | fully_connected_settings.py | 140 inttype = tf.int16
144 inttype = tf.int8
249 self.convert_model(model, inttype)
257 interpreter = self.interpret_model(input_data, inttype)
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| D | test_settings.py | 448 def convert_and_interpret(self, model, inttype, input_data=None, dataset_shape=None): argument
452 self.convert_model(model, inttype, dataset_shape)
453 return self.interpret_model(input_data, inttype)
455 def convert_model(self, model, inttype, dataset_shape=None, int16x8_int32bias=False): argument
480 converter.inference_input_type = inttype
481 converter.inference_output_type = inttype
488 def interpret_model(self, input_data, inttype): argument
501 interpreter.set_tensor(input_details[0]["index"], tf.cast(input_data, inttype))
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| D | conv_settings.py | 207 inttype = tf.int16
211 inttype = tf.int8
389 self.convert_model(model, inttype, int16x8_int32bias=self.int16xint8_int32)
391 interpreter = self.interpret_model(input_data, inttype)
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