89 lines
3.3 KiB
Python
89 lines
3.3 KiB
Python
#
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# SPDX-FileCopyrightText: Copyright (c) 1993-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: Apache-2.0
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from polygraphy.backend.onnxrt import SessionFromOnnx
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from polygraphy.exception import PolygraphyException
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from tests.models.meta import ONNX_MODELS
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import onnxruntime as onnxrt
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import pytest
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class TestSessionFromOnnx:
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def test_defaults(self):
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model = ONNX_MODELS["identity"]
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loader = SessionFromOnnx(model.loader)
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sess = loader()
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assert sess
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assert isinstance(sess, onnxrt.InferenceSession)
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assert sess.get_providers() == ["CPUExecutionProvider"]
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@pytest.mark.parametrize(
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"providers,expected",
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[
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(["cpu"], ["CPUExecutionProvider"]),
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(["CPU"], ["CPUExecutionProvider"]),
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],
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)
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def test_provider_matching(self, providers, expected):
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model = ONNX_MODELS["identity"]
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loader = SessionFromOnnx(model.loader, providers=providers)
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sess = loader()
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assert sess
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assert isinstance(sess, onnxrt.InferenceSession)
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assert sess.get_providers() == expected
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@pytest.mark.skipif(
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"TensorrtExecutionProvider" not in onnxrt.get_available_providers(),
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reason="Skip test if TensorrtExecutionProvider is not available",
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)
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@pytest.mark.parametrize(
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"providers,expected_dict",
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[
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# Searches for 'tensorrt' as the execution provider's name
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(["tensorrt", "cpu"], {"TensorrtExecutionProvider": {}, "CPUExecutionProvider": {}}),
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# Searches for the execution provider's name if the item is a tuple in the format (EP name, EP options)
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(
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[("TensorrtExecutionProvider", {"trt_op_types_to_exclude": "Add"}), "CPUExecutionProvider"],
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{"TensorrtExecutionProvider": {"trt_op_types_to_exclude": "Add"}, "CPUExecutionProvider": {}}
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),
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],
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)
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def test_provider_with_options(self, providers, expected_dict):
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model = ONNX_MODELS["identity"]
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loader = SessionFromOnnx(model.loader, providers=providers)
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sess = loader()
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assert sess
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assert isinstance(sess, onnxrt.InferenceSession)
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assert sess.get_providers() == list(expected_dict.keys())
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provider_options = sess.get_provider_options()
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for k, v in provider_options.items():
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if expected_dict.get(k, None):
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assert set(expected_dict[k].items()).issubset(v.items())
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def test_invalid_providers_raise_errors(self):
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model = ONNX_MODELS["identity"]
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loader = SessionFromOnnx(model.loader, providers=["cpu", "not_a_real_provider"])
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with pytest.raises(
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PolygraphyException,
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match="Could not find specified ONNX-Runtime execution provider",
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):
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loader()
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