我尝试从tensorflow打印出cudnn信息,如下所示
from tensorflow.python.platform import build_info as tf_build_info
print(tf_build_info.cudnn_version_number)然而,它的输出是,这个错误的原因是什么?
AttributeError Traceback (most recent call last)
<ipython-input-2-439c29a4890a> in <module>
----> 1 print(tf_build_info.cudnn_version_number)
AttributeError: module 'tensorflow.python.platform.build_info' has no attribute 'cudnn_version_number'发布于 2021-04-28 01:42:21
从CUDA2.4.1开始,我们可以使用tensorflow.python.platform.build_info来获取有关构建二进制文件所基于的TensorFlow,cuDNN的信息。
>>> import tensorflow
>>> print(tensorflow.__version__)
'2.4.1'
>>> import tensorflow.python.platform.build_info as build
>>> print(build.build_info)
OrderedDict([('cpu_compiler', '/usr/bin/gcc-5'), ('cuda_compute_capabilities', ['sm_35', 'sm_50', 'sm_60', 'sm_70', 'sm_75', 'compute_80']), ('cuda_version', '11.0'), ('cudnn_version', '8'), ('is_cuda_build', True), ('is_rocm_build', False)])build.build_info是一个OrderedDict。因此,要获取CuDNN和CUDA版本:
>>> print(build.build_info['cuda_version'])
11.0
>>> print(build.build_info['cudnn_version'])
8注意:由于这不是一个公共API,因此在未来的版本中可能会发生变化。在以前的版本中,我们可以使用from tensorflow.python.platform import build_info as tf_build_info; print(tf_build_info.cuda_version_number)
发布于 2021-07-28 04:55:42
使用python 3.6,tf 2.5 cuda 11.2 cudnn 8.2。配备Geforce MX150显卡的win10笔记本电脑:
from tensorflow.python.platform import build_info as tf_build_info
print("cudnn_version",tf_build_info.build_info['cudnn_version'])
> cudnn_version 64_8
print("cuda_version",tf_build_info.build_info['cuda_version'])
> cuda_version 64_112https://stackoverflow.com/questions/65976909
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