Spaces:
Sleeping
Sleeping
#!/usr/bin/env python3 | |
# Copyright (c) 2022, 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 add_sub_python sample server.""" | |
import logging | |
import numpy as np | |
from pytriton.client import ModelClient | |
logger = logging.getLogger("examples.add_sub_python.client") | |
logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(name)s: %(message)s") | |
batch_size = 2 | |
a_batch = np.ones((batch_size, 1), dtype=np.float32) | |
b_batch = np.ones((batch_size, 1), dtype=np.float32) | |
logger.info(f"a: {a_batch.tolist()}") | |
logger.info(f"b: {b_batch.tolist()}") | |
with ModelClient("localhost", "AddSub") as client: | |
logger.info("Sending inference request") | |
result_batch = client.infer_batch(a_batch, b_batch) | |
for output_name, data_batch in result_batch.items(): | |
logger.info(f"{output_name}: {data_batch.tolist()}") | |