结果如下，我运行了项目stylegan2，但是失败了。所以我需要帮助。链接是https://github.com/NVlabs/stylegan2
File "/home/ubuntu/workspaces/workspace_lsh/stylegan2/dnnlib/tflib/network.py", line 154, in _init_graph out_expr = self._build_func(*self.input_templates, **build_kwargs)
File "<string>", line 491, in G_synthesis_stylegan2 File "<string>", line 455, in layer
File "<string>", line 99, in modulated_conv2d_layer File "<string>", line 68, in apply_bias_act
File "/home/ubuntu/workspaces/workspace_lsh/stylegan2/dnnlib/tflib/ops/fused_bias_act.py", line 68, in fused_bias_act return impl_dict[impl](x=x, b=b, axis=axis, act=act, alpha=alpha, gain=gain)
File "/home/ubuntu/workspaces/workspace_lsh/stylegan2/dnnlib/tflib/ops/fused_bias_act.py", line 122, in _fused_bias_act_cuda cuda_kernel = _get_plugin().fused_bias_act
File "/home/ubuntu/workspaces/workspace_lsh/stylegan2/dnnlib/tflib/ops/fused_bias_act.py", line 16, in _get_plugin return custom_ops.get_plugin(os.path.splitext(__file__)[0] + '.cu')
File "/home/ubuntu/workspaces/workspace_lsh/stylegan2/dnnlib/tflib/custom_ops.py", line 111, in get_plugin _run_cmd(_prepare_nvcc_cli('"%s" --preprocess -o "%s" --keep --keep-dir "%s"' % (cuda_file, tmp_file, tmp_dir)))
File "/home/ubuntu/workspaces/workspace_lsh/stylegan2/dnnlib/tflib/custom_ops.py", line 61, in _run_cmd raise RuntimeError('NVCC returned an error. See below for full command line and output log:\n\n%s\n\n%s' % (cmd, output)) RuntimeError: NVCC returned an error. See below for full command line and output log:
nvcc "/home/ubuntu/workspaces/workspace_lsh/stylegan2/dnnlib/tflib/ops/fused_bias_act.cu" --preprocess -o "/tmp/tmph2fk0y_4/fused_bias_act_tmp.cu" --keep --keep-dir "/tmp/tmph2fk0y_4" --disable-warnings --include-path "/home/ubuntu/anaconda3/lib/python3.7/site-packages/tensorflow_core/include"
--include-path "/home/ubuntu/anaconda3/lib/python3.7/site-packages/tensorflow_core/include/external/protobuf_archive/src"
--include-path "/home/ubuntu/anaconda3/lib/python3.7/site-packages/tensorflow_core/include/external/com_google_absl"
--include-path "/home/ubuntu/anaconda3/lib/python3.7/site-packages/tensorflow_core/include/external/eigen_archive" 2>&1
In file
included from /usr/include/c++/5/unordered_map:35:0,
from /home/ubuntu/anaconda3/lib/python3.7/site-packages/tensorflow_core/include/tensorflow/core/framework/op.h:20,
from /home/ubuntu/workspaces/workspace_lsh/stylegan2/dnnlib/tflib/ops/fused_bias_act.cu:9:
/usr/include/c++/5/bits/c++0x_warning.h:32:2: error: #error This file requires compiler and library support for the ISO C++ 2011 standard. This support must be enabled with the -std=c++11 or -std=gnu++11 compiler options. #error This file requires compiler and library support \ ^ In file included from /home/ubuntu/anaconda3/lib/python3.7/site-packages/tensorflow_core/include/absl/base/config.h:66:0,
/home/ubuntu/anaconda3/lib/python3.7/site-packages/tensorflow_core/include/absl/base/policy_checks.h:77:2: error: #error "C++ versions less than C++11 are not supported." #error "C++ versions less than C++11 are not supported."
我需要帮助。
最佳答案
我遇到了同样的错误。一个讨厌的解决方法是将标记--std=c++11和-DNDEBUG添加到dnnlib/tflib/custom_ops.py ln 64中的nvcc调用中:
cmd = 'nvcc --std=c++11 -DNDEBUG ' + opts.strip()
为什么同时使用--std和-DNDEBUG？
只是
--std=c++11给了我以下错误:使用标志
-DNDEBUG，as explained in this git thread可以防止这种情况。该解决方案很丑陋，对于作者来说，可以通过提供更多输入选项或其他方式(或说明如何操作)来解决此问题，这将是不错的选择。但就目前而言，它会做到的。
我的环境:
Python 3.6.9
tensorflow.__version__
'1.14.0'
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2018 NVIDIA Corporation
Built on Sat_Aug_25_21:08:01_CDT_2018
Cuda compilation tools, release 10.0, V10.0.130
g++ (Ubuntu 5.4.0-6ubuntu1~16.04.11) 5.4.0 20160609
Copyright (C) 2015 Free Software Foundation, Inc.
This is free software; see the source for copying conditions. There is NO
warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
关于c++ - tensorflow错误此文件需要ISO C++ 2011标准的编译器和库支持，我们在Stack Overflow上找到一个类似的问题：https://stackoverflow.com/questions/59342888/