Source code for

# SPDX-FileCopyrightText: Copyright (c) 1993-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
# 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
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# See the License for the specific language governing permissions and
# limitations under the License.
from polygraphy import mod
from import util as args_util
from import BaseArgs
from import ModelArgs
from import OnnxLoadArgs
from import make_invocable

[docs] @mod.export() class OnnxrtSessionArgs(BaseArgs): """ ONNX-Runtime Session Creation: creating an ONNX-Runtime Inference Session Depends on: - OnnxLoadArgs - ModelArgs """ def add_parser_args_impl(self): "--providers", "--execution-providers", dest="providers", help="A list of execution providers to use in order of priority. " "Each provider may be either an exact match or a case-insensitive partial match " "for the execution providers available in ONNX-Runtime. For example, a value of 'cpu' would " "match the 'CPUExecutionProvider'", nargs="+", default=None, )
[docs] def parse_impl(self, args): """ Parses command-line arguments and populates the following attributes: Attributes: providers (List[str]): A list of execution providers. """ self.providers = args_util.get(args, "providers")
def add_to_script_impl(self, script, onnx_name=None): if onnx_name is None: # default behavior according to self.arg_groups if self.arg_groups[OnnxLoadArgs].must_use_onnx_loader(): onnx_name = self.arg_groups[OnnxLoadArgs].add_to_script( script, serialize_model=True ) else: onnx_name = self.arg_groups[ModelArgs].path script.add_import(imports=["SessionFromOnnx"], frm="polygraphy.backend.onnxrt") loader_name = script.add_loader( make_invocable("SessionFromOnnx", onnx_name, providers=self.providers), "build_onnxrt_session", ) return loader_name
[docs] def load_onnxrt_session(self, model=None): """ Loads an ONNX-Runtime Inference Session according to arguments provided on the command-line. Args: model (Union[bytes, str]): The model bytes or path to a model. Defaults to None, in which case, the model specified on the command-line is used. Returns: onnxruntime.InferenceSession """ loader = args_util.run_script(self.add_to_script, model) return loader()