ONE - On-device Neural Engine
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part_eval_one.py File Reference
Go to the source code of this file.
Namespaces
namespace
part_eval_one
Variables
part_eval_one.parser
= argparse.ArgumentParser()
part_eval_one.type
part_eval_one.str
part_eval_one.required
part_eval_one.args
= parser.parse_args()
part_eval_one.driver
= args.driver
str
part_eval_one.tflite_model
= args.name + ".tflite"
str
part_eval_one.circle_model
= args.name + ".circle"
str
part_eval_one.partition_conn_ini
= args.name + ".conn.ini"
str
part_eval_one.partition_conn_json
= args.name + ".conn.json"
str
part_eval_one.expected_count
= args.name + ".excnt"
part_eval_one.expected_count_line
= expected_count_file.readline()
part_eval_one.json_data
= json.load(json_file)
part_eval_one.parts_value
=
json_data
["parts"]
part_eval_one.interpreter
= tf.lite.Interpreter(
tflite_model
)
part_eval_one.full_signatures
= interpreter._get_full_signature_list()
part_eval_one.full_signatures_outputs_remap
= None
part_eval_one.signature_serving_default
= full_signatures.get('serving_default', None)
part_eval_one.signature_outputs
=
signature_serving_default
['outputs']
part_eval_one.num_inputs
= len(interpreter.get_input_details())
part_eval_one.input_details
= interpreter.get_input_details()[i]
part_eval_one.input_details_dtype
=
input_details
["dtype"]
part_eval_one.input_details_shape
=
input_details
["shape"]
part_eval_one.input_data
list
part_eval_one.partition_command
part_eval_one.flush
part_eval_one.check
part_eval_one.inpt_output_details
= interpreter.get_output_details()
part_eval_one.output_details
=
inpt_output_details
[idx]
part_eval_one.output_dtype
=
output_details
["dtype"]
part_eval_one.output_data
= np.fromfile(
circle_model
+ ".output" +
str
(idx),
output_dtype
)
part_eval_one.shape_file
= open(
circle_model
+ ".output" +
str
(idx) + ".shape", 'r')
list
part_eval_one.output_shape
= [int(i) for i in shape_file.read().split(',')]
part_eval_one.luci_output_data
= np.reshape(
output_data
,
output_shape
)
part_eval_one.output_tensor
=
output_details
["index"]
part_eval_one.intp_output_data
= interpreter.get_tensor(
output_tensor
)
part_eval_one.rtol
part_eval_one.atol
compiler
circle-part-value-test
part_eval_one.py
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