mirror of
https://github.com/saymrwulf/onnxruntime.git
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89 lines
3.6 KiB
Python
89 lines
3.6 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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import warnings
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import ctypes
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import sys
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def find_cudart_versions(build_env=False, build_cuda_version=None):
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# ctypes.CDLL and ctypes.util.find_library load the latest installed library.
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# it may not the the library that would be loaded by onnxruntime.
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# for example, in an environment with Cuda 11.1 and subsequently
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# conda cudatoolkit 10.2.89 installed. ctypes will find cudart 10.2. however,
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# onnxruntime built with Cuda 11.1 will find and load cudart for Cuda 11.1.
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# for the above reason, we need find all versions in the environment and
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# only give warnings if the expected cuda version is not found.
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# in onnxruntime build environment, we expected only one Cuda version.
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if not sys.platform.startswith('linux'):
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warnings.warn('find_cudart_versions only works on Linux')
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return None
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cudart_possible_versions = {None, build_cuda_version}
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def get_cudart_version(find_cudart_version=None):
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cudart_lib_filename = 'libcudart.so'
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if find_cudart_version:
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cudart_lib_filename = cudart_lib_filename + '.' + find_cudart_version
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try:
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cudart = ctypes.CDLL(cudart_lib_filename)
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cudart.cudaRuntimeGetVersion.restype = int
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cudart.cudaRuntimeGetVersion.argtypes = [ctypes.POINTER(ctypes.c_int)]
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version = ctypes.c_int()
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status = cudart.cudaRuntimeGetVersion(ctypes.byref(version))
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if status != 0:
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return None
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except: # noqa
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return None
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return version.value
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# use set to avoid duplications
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cudart_found_versions = {
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get_cudart_version(cudart_version) for cudart_version in cudart_possible_versions}
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# convert to list and remove None
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return [ver for ver in cudart_found_versions if ver]
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def find_cudnn_supported_cuda_versions(build_env=False):
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# comments in get_cudart_version apply here
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if not sys.platform.startswith('linux'):
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warnings.warn('find_cudnn_versions only works on Linux')
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cudnn_possible_versions = {None}
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if not build_env:
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# if not in a build environment, there may be more than one installed cudnn.
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# https://developer.nvidia.com/rdp/cudnn-archive to include all that may support Cuda 10+.
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cudnn_possible_versions.update({
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'8.2',
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'8.1.1', '8.1.0',
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'8.0.5', '8.0.4', '8.0.3', '8.0.2', '8.0.1',
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'7.6.5', '7.6.4', '7.6.3', '7.6.2', '7.6.1', '7.6.0',
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'7.5.1', '7.5.0',
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'7.4.2', '7.4.1',
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'7.3.1', '7.3.0',
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})
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def get_cudnn_supported_cuda_version(find_cudnn_version=None):
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cudnn_lib_filename = 'libcudnn.so'
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if find_cudnn_version:
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cudnn_lib_filename = cudnn_lib_filename + '.' + find_cudnn_version
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# in cudnn.h cudnn version are calculated as:
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# #define CUDNN_VERSION (CUDNN_MAJOR * 1000 + CUDNN_MINOR * 100 + CUDNN_PATCHLEVEL)
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try:
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cudnn = ctypes.CDLL(cudnn_lib_filename)
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# cudnn_ver = cudnn.cudnnGetVersion()
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cuda_ver = cudnn.cudnnGetCudartVersion()
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return cuda_ver
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except: # noqa
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return None
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# use set to avoid duplications
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cuda_found_versions = {get_cudnn_supported_cuda_version(cudnn_version) for cudnn_version in cudnn_possible_versions}
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# convert to list and remove None
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return [ver for ver in cuda_found_versions if ver]
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