mirror of
https://github.com/saymrwulf/onnxruntime.git
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51 lines
2.3 KiB
Python
51 lines
2.3 KiB
Python
# -------------------------------------------------------------------------
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# Copyright (c) Microsoft Corporation. All rights reserved.
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# Licensed under the MIT License.
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# --------------------------------------------------------------------------
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"""
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ONNX Runtime is a performance-focused scoring engine for Open Neural Network Exchange (ONNX) models.
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For more information on ONNX Runtime, please see `aka.ms/onnxruntime <https://aka.ms/onnxruntime/>`_
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or the `Github project <https://github.com/microsoft/onnxruntime/>`_.
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"""
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__version__ = "1.10.0"
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__author__ = "Microsoft"
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# we need to do device version validation (for example to check Cuda version for an onnxruntime-training package).
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# in order to know whether the onnxruntime package is for training it needs
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# to do import onnxruntime.training.ortmodule first.
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# onnxruntime.capi._pybind_state is required before import onnxruntime.training.ortmodule.
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# however, import onnxruntime.capi._pybind_state will already raise an exception if a required Cuda version
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# is not found.
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# here we need to save the exception and continue with Cuda version validation in order to post
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# meaningful messages to the user.
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# the saved exception is raised after device version validation.
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try:
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from onnxruntime.capi._pybind_state import get_all_providers, get_available_providers, get_device, set_seed, \
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RunOptions, SessionOptions, set_default_logger_severity, enable_telemetry_events, disable_telemetry_events, \
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NodeArg, ModelMetadata, GraphOptimizationLevel, ExecutionMode, ExecutionOrder, SessionIOBinding, \
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OrtAllocatorType, OrtMemType, OrtArenaCfg, OrtMemoryInfo, create_and_register_allocator, OrtSparseFormat
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import_capi_exception = None
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except Exception as e:
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import_capi_exception = e
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from onnxruntime.capi import onnxruntime_validation
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if import_capi_exception:
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raise import_capi_exception
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from onnxruntime.capi.onnxruntime_inference_collection import InferenceSession, IOBinding, OrtValue, SparseTensor, \
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OrtDevice
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from onnxruntime.capi.training import * # noqa: F403
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# TODO: thiagofc: Temporary experimental namespace for new PyTorch front-end
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try:
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from . import experimental
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except ImportError:
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pass
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from onnxruntime.capi.onnxruntime_validation import package_name, version, cuda_version
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if version:
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__version__ = version
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onnxruntime_validation.check_distro_info()
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