mirror of
https://github.com/saymrwulf/onnxruntime.git
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c91f314217
* Add robust dependency check for Python package * Add version_info.py to .gitignore * Fix Linux build * Fix Windows CPU build * Fix Windows 32-bit build * Minor tweak * Generate version_info.py earlier in onnxruntime_python.cmake * Print a user-friendly message if cuDNN is not found in * Relax version requirements for CUDA 11 - only the major version has to match * Fix PATH environment variable to include CUDA 11 in 'Python packaging pipeline' (Windows/GPU) * Fix the build with cuDNN 7
54 lines
2.7 KiB
Python
54 lines
2.7 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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Ensure that dependencies are available and then load the extension module.
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"""
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import os
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import platform
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import sys
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from . import _ld_preload # noqa: F401
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if platform.system() == "Windows":
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from . import version_info
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if version_info.use_cuda:
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cuda_version_major, cuda_version_minor = version_info.cuda_version.split(".")
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if int(cuda_version_major) < 11:
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# Prior to CUDA 11 both major and minor version at build time/runtime have to match.
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cuda_env_variable = f"CUDA_PATH_V{cuda_version_major}_{cuda_version_minor}"
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if cuda_env_variable not in os.environ:
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raise ImportError(f"CUDA Toolkit {version_info.cuda_version} not installed on the machine.")
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else:
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# With CUDA 11 and newer only the major version at build time/runtime has to match.
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# Use the most recent minor version available.
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cuda_env_variable = None
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for i in range(9, -1, -1):
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if f"CUDA_PATH_V{cuda_version_major}_{i}" in os.environ:
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cuda_env_variable = f"CUDA_PATH_V{cuda_version_major}_{i}"
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break
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if not cuda_env_variable:
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raise ImportError(f"CUDA Toolkit {cuda_version_major}.x not installed on the machine.")
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cuda_bin_dir = os.path.join(os.environ[cuda_env_variable], "bin")
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if not os.path.isfile(os.path.join(cuda_bin_dir, f"cudnn64_{version_info.cudnn_version}.dll")):
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raise ImportError(f"cuDNN {version_info.cudnn_version} not installed in {cuda_bin_dir}.")
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if sys.version_info >= (3, 8):
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# Python 3.8 (and later) doesn't search system PATH when loading DLLs, so the CUDA location needs to be
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# specified explicitly using the new API introduced in Python 3.8.
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os.add_dll_directory(cuda_bin_dir)
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else:
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# Python 3.7 (and earlier) searches directories listed in PATH variable.
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# Make sure that the target CUDA version is at the beginning (important if multiple CUDA versions are
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# installed on the machine.)
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os.environ["PATH"] += cuda_bin_dir + os.pathsep + os.environ["PATH"]
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if version_info.vs2019 and platform.architecture()[0] == "64bit":
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if not os.path.isfile("C:\\Windows\\System32\\vcruntime140_1.dll"):
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raise ImportError(
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"Microsoft Visual C++ Redistributable for Visual Studio 2019 not installed on the machine.")
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from .onnxruntime_pybind11_state import * # noqa
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