Searched refs:datatype (Results 1 – 11 of 11) sorted by relevance
/cmsis-nn-latest/Tests/UnitTest/ |
D | pooling_settings.py | 76 datatype = "int16_t" 79 datatype = "int8_t" 83 self.generate_c_array(self.input_data_file_prefix, input_data, datatype=datatype) 120 datatype=datatype)
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D | softmax_settings.py | 121 datatype = "int16_t" 124 datatype = "int8_t" 126 self.generate_c_array(self.input_data_file_prefix, input_data, datatype=datatype) 131 datatype = "int16_t" 160 self.generate_c_array(self.output_data_file_prefix, output_data, datatype=datatype)
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D | lstm_settings.py | 233 self.generate_c_array("cell_to_input", [], datatype='int16_t') 234 self.generate_c_array("cell_to_forget", [], datatype='int16_t') 235 self.generate_c_array("cell_to_output", [], datatype='int16_t') 237 …te_c_array("input_gate_bias", interpreter.get_tensor(input_gate_bias['index']), datatype='int32_t') 238 …rate_c_array("cell_gate_bias", interpreter.get_tensor(cell_gate_bias['index']), datatype='int32_t') 239 …_c_array("forget_gate_bias", interpreter.get_tensor(forget_gate_bias['index']), datatype='int32_t') 240 …_c_array("output_gate_bias", interpreter.get_tensor(output_gate_bias['index']), datatype='int32_t') 244 self.generate_c_array("projection_bias", [], datatype='int32_t') 247 …self.generate_c_array("cell_state", interpreter.get_tensor(cell_state['index']), datatype='int16_t… 287 … self.generate_c_array("input_to_input_eff_bias", input_to_input_eff_bias, datatype='int32_t') [all …]
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D | fully_connected_settings.py | 141 datatype = "int16_t" 145 datatype = "int8_t" 284 self.generate_c_array(self.input_data_file_prefix, input_data, datatype=datatype) 291 self.generate_c_array(self.bias_data_file_prefix, bias, datatype=bias_datatype) 295 datatype=datatype)
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D | conv_settings.py | 208 datatype = "int16_t" 212 datatype = "int8_t" 421 self.generate_c_array(self.input_data_file_prefix, input_data, datatype=datatype) 427 self.generate_c_array("output_mult", per_channel_multiplier, datatype='int32_t') 428 self.generate_c_array("output_shift", per_channel_shift, datatype='int32_t') 442 datatype=datatype)
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D | add_mul_settings.py | 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 | model_extractor.py | 256 self.generate_c_array(nice_name + "_bias", bias_data, datatype='int32_t') 266 … self.generate_c_array(f"{nice_name}_output_mult", per_channel_multiplier, datatype='int32_t') 267 … self.generate_c_array(f"{nice_name}_output_shift", per_channel_shift, datatype='int32_t')
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D | svdf_settings.py | 225 …nerate_c_array("weights_time", interpreter.get_tensor(weights_2_layer['index']), datatype='int8_t') 228 …erate_c_array("weights_time", interpreter.get_tensor(weights_2_layer['index']), datatype='int16_t')
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D | test_settings.py | 366 def generate_c_array(self, name, array, datatype="int8_t", const="const ", pack=False) -> None: argument 392 … f.write(const + datatype + " " + self.testdataset + '_' + name + "[%d] =\n{\n" % size) 398 f.write(const + datatype + " *" + self.testdataset + '_' + name + " = NULL;\n")
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/cmsis-nn-latest/Tests/UnitTest/RefactoredTestGen/Lib/ |
D | op_utils.py | 62 def generate_tf_tensor(dims, minval, maxval, decimals=0, datatype=tf.float32): argument 65 tensor = tf.convert_to_tensor(array, dtype=datatype)
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D | test.py | 103 …nsor = Lib.op_utils.generate_tf_tensor(shapes["input"], minval, maxval, decimals=0, datatype=dtype)
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