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Running
on
Zero
File size: 1,786 Bytes
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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.
"""Server with simple python model performing adding and subtract operation."""
import logging
import numpy as np
from pytriton.decorators import batch
from pytriton.model_config import ModelConfig, Tensor
from pytriton.triton import Triton
logger = logging.getLogger("examples.add_sub_python.server")
logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(name)s: %(message)s")
@batch
def _add_sub(**inputs):
a_batch, b_batch = inputs.values()
add_batch = a_batch + b_batch
sub_batch = a_batch - b_batch
return {"add": add_batch, "sub": sub_batch}
with Triton() as triton:
logger.info("Loading AddSub model")
triton.bind(
model_name="AddSub",
infer_func=_add_sub,
inputs=[
Tensor(dtype=np.float32, shape=(-1,)),
Tensor(dtype=np.float32, shape=(-1,)),
],
outputs=[
Tensor(name="add", dtype=np.float32, shape=(-1,)),
Tensor(name="sub", dtype=np.float32, shape=(-1,)),
],
config=ModelConfig(max_batch_size=128),
strict=True,
)
logger.info("Serving model")
triton.serve()
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