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#!/usr/bin/env python3 | |
# Copyright (c) 2022-2023, NVIDIA CORPORATION. All rights reserved. | |
# | |
# Licensed under the Apache License, Version 2.0 (the "License"); | |
# you may not use this file except in compliance with the License. | |
# You may obtain a copy of the License at | |
# | |
# http://www.apache.org/licenses/LICENSE-2.0 | |
# | |
# Unless required by applicable law or agreed to in writing, software | |
# distributed under the License is distributed on an "AS IS" BASIS, | |
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
# See the License for the specific language governing permissions and | |
# limitations under the License. | |
"""Client for BERT classifier sample server.""" | |
import logging | |
import numpy as np | |
from pytriton.client import ModelClient | |
logger = logging.getLogger("examples.huggingface_bert_jax.client") | |
logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(name)s: %(message)s") | |
init_timeout_s = 600 # increase default timeout to let model download from HF hub | |
sequence = np.array([b"Hello, my dog is cute"]) | |
logger.info(f"Input: {sequence}") | |
logger.info("Sending request") | |
with ModelClient("localhost", "BERT", init_timeout_s=init_timeout_s) as client: | |
result_dict = client.infer_sample(sequence) | |
for output_name, output_data in result_dict.items(): | |
output_data = np.array2string(output_data, max_line_width=np.inf, separator=",").replace("\n", "") | |
logger.info(f"{output_name}: {output_data}") | |