39 lines
1.1 KiB
Python
39 lines
1.1 KiB
Python
import triton_python_backend_utils as pb_utils
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import numpy as np
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import json
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import random
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import string
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class TritonPythonModel:
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def initialize(self, args):
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self.logger = pb_utils.Logger
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self.logger.log_info(f"'{args["model_name"]}' 모델 초기화 완료")
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def execute(self, requests):
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responses = []
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for request in requests:
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input_tensor = pb_utils.get_input_tensor_by_name(request, "INPUT")
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input_data = input_tensor.as_numpy()[0].decode("utf-8")
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self.logger.log_info(f"INPUT: {input_data}")
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random_string = ''.join(
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random.choice(string.ascii_letters + string.digits) for _ in range(10)
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)
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self.logger.log_info(f"OUTPUT: {random_string}")
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output_tensor = pb_utils.Tensor(
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"OUTPUT",
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np.array([random_string.encode("utf-8")], dtype=np.object_)
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)
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responses.append(pb_utils.InferenceResponse(
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output_tensors=[output_tensor]
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))
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return responses
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def finalize(self):
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pass
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