help #15
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Hi zwhua006 |
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thanks. |
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Hi zwhhua006, My version: |
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I can't install dcnv2,my version is cuda10.1 cudnn 7.6.5 gcc 7.5.0 python 3.7.6 pytorch 1.6.0
the error is:
FAILED: /home/zwhua/STDF-PyTorch/ops/dcn/build/temp.linux-x86_64-3.7/src/deform_conv_cuda_kernel.o
/usr/local/cuda-10.1/bin/nvcc -I/home/zwhua/anaconda3/envs/stdf/lib/python3.7/site-packages/torch/include -I/home/zwhua/anaconda3/envs/stdf/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/home/zwhua/anaconda3/envs/stdf/lib/python3.7/site-packages/torch/include/TH -I/home/zwhua/anaconda3/envs/stdf/lib/python3.7/site-packages/torch/include/THC -I/usr/local/cuda-10.1/include -I/home/zwhua/anaconda3/envs/stdf/include/python3.7m -c -c /home/zwhua/STDF-PyTorch/ops/dcn/src/deform_conv_cuda_kernel.cu -o /home/zwhua/STDF-PyTorch/ops/dcn/build/temp.linux-x86_64-3.7/src/deform_conv_cuda_kernel.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''"'"'-fPIC'"'"'' -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=deform_conv_cuda -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_61,code=sm_61 -std=c++14
/home/zwhua/STDF-PyTorch/ops/dcn/src/deform_conv_cuda_kernel.cu: In lambda function:
/home/zwhua/STDF-PyTorch/ops/dcn/src/deform_conv_cuda_kernel.cu:258:45: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]
AT_DISPATCH_FLOATING_TYPES_AND_HALF(
^
/home/zwhua/anaconda3/envs/stdf/lib/python3.7/site-packages/torch/include/ATen/core/TensorBody.h:268:1: note: declared here
DeprecatedTypeProperties & type() const {
^ ~~
/home/zwhua/STDF-PyTorch/ops/dcn/src/deform_conv_cuda_kernel.cu:258:100: warning: ‘c10::ScalarType detail::scalar_type(const at::DeprecatedTypeProperties&)’ is deprecated: passing at::DeprecatedTypeProperties to an AT_DISPATCH macro is deprecated, pass an at::ScalarType instead [-Wdeprecated-declarations]
AT_DISPATCH_FLOATING_TYPES_AND_HALF(
^
/home/zwhua/anaconda3/envs/stdf/lib/python3.7/site-packages/torch/include/ATen/Dispatch.h:66:1: note: declared here
inline at::ScalarType scalar_type(const at::DeprecatedTypeProperties& t) {
^~~~~~~~~~~
/home/zwhua/STDF-PyTorch/ops/dcn/src/deform_conv_cuda_kernel.cu: In lambda function:
/home/zwhua/STDF-PyTorch/ops/dcn/src/deform_conv_cuda_kernel.cu:352:46: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]
AT_DISPATCH_FLOATING_TYPES_AND_HALF(
^
/home/zwhua/anaconda3/envs/stdf/lib/python3.7/site-packages/torch/include/ATen/core/TensorBody.h:268:1: note: declared here
DeprecatedTypeProperties & type() const {
^ ~~
/home/zwhua/STDF-PyTorch/ops/dcn/src/deform_conv_cuda_kernel.cu:352:101: warning: ‘c10::ScalarType detail::scalar_type(const at::DeprecatedTypeProperties&)’ is deprecated: passing at::DeprecatedTypeProperties to an AT_DISPATCH macro is deprecated, pass an at::ScalarType instead [-Wdeprecated-declarations]
AT_DISPATCH_FLOATING_TYPES_AND_HALF(
^
/home/zwhua/anaconda3/envs/stdf/lib/python3.7/site-packages/torch/include/ATen/Dispatch.h:66:1: note: declared here
inline at::ScalarType scalar_type(const at::DeprecatedTypeProperties& t) {
^~~~~~~~~~~
/home/zwhua/STDF-PyTorch/ops/dcn/src/deform_conv_cuda_kernel.cu: In lambda function:
/home/zwhua/STDF-PyTorch/ops/dcn/src/deform_conv_cuda_kernel.cu:450:46: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]
AT_DISPATCH_FLOATING_TYPES_AND_HALF(
^
/home/zwhua/anaconda3/envs/stdf/lib/python3.7/site-packages/torch/include/ATen/core/TensorBody.h:268:1: note: declared here
DeprecatedTypeProperties & type() const {
^ ~~
/home/zwhua/STDF-PyTorch/ops/dcn/src/deform_conv_cuda_kernel.cu:450:101: warning: ‘c10::ScalarType detail::scalar_type(const at::DeprecatedTypeProperties&)’ is deprecated: passing at::DeprecatedTypeProperties to an AT_DISPATCH macro is deprecated, pass an at::ScalarType instead [-Wdeprecated-declarations]
AT_DISPATCH_FLOATING_TYPES_AND_HALF(
^
/home/zwhua/anaconda3/envs/stdf/lib/python3.7/site-packages/torch/include/ATen/Dispatch.h:66:1: note: declared here
inline at::ScalarType scalar_type(const at::DeprecatedTypeProperties& t) {
^~~~~~~~~~~
/home/zwhua/STDF-PyTorch/ops/dcn/src/deform_conv_cuda_kernel.cu: In lambda function:
/home/zwhua/STDF-PyTorch/ops/dcn/src/deform_conv_cuda_kernel.cu:780:45: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]
AT_DISPATCH_FLOATING_TYPES_AND_HALF(
^
/home/zwhua/anaconda3/envs/stdf/lib/python3.7/site-packages/torch/include/ATen/core/TensorBody.h:268:1: note: declared here
DeprecatedTypeProperties & type() const {
^ ~~
/home/zwhua/STDF-PyTorch/ops/dcn/src/deform_conv_cuda_kernel.cu:780:100: warning: ‘c10::ScalarType detail::scalar_type(const at::DeprecatedTypeProperties&)’ is deprecated: passing at::DeprecatedTypeProperties to an AT_DISPATCH macro is deprecated, pass an at::ScalarType instead [-Wdeprecated-declarations]
AT_DISPATCH_FLOATING_TYPES_AND_HALF(
^
/home/zwhua/anaconda3/envs/stdf/lib/python3.7/site-packages/torch/include/ATen/Dispatch.h:66:1: note: declared here
inline at::ScalarType scalar_type(const at::DeprecatedTypeProperties& t) {
^~~~~~~~~~~
/home/zwhua/STDF-PyTorch/ops/dcn/src/deform_conv_cuda_kernel.cu: In lambda function:
/home/zwhua/STDF-PyTorch/ops/dcn/src/deform_conv_cuda_kernel.cu:812:46: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]
AT_DISPATCH_FLOATING_TYPES_AND_HALF(
^
/home/zwhua/anaconda3/envs/stdf/lib/python3.7/site-packages/torch/include/ATen/core/TensorBody.h:268:1: note: declared here
DeprecatedTypeProperties & type() const {
^ ~~
/home/zwhua/STDF-PyTorch/ops/dcn/src/deform_conv_cuda_kernel.cu:812:101: warning: ‘c10::ScalarType detail::scalar_type(const at::DeprecatedTypeProperties&)’ is deprecated: passing at::DeprecatedTypeProperties to an AT_DISPATCH macro is deprecated, pass an at::ScalarType instead [-Wdeprecated-declarations]
AT_DISPATCH_FLOATING_TYPES_AND_HALF(
^
/home/zwhua/anaconda3/envs/stdf/lib/python3.7/site-packages/torch/include/ATen/Dispatch.h:66:1: note: declared here
inline at::ScalarType scalar_type(const at::DeprecatedTypeProperties& t) {
^~~~~~~~~~~
/home/zwhua/STDF-PyTorch/ops/dcn/src/deform_conv_cuda_kernel.cu: In lambda function:
/home/zwhua/STDF-PyTorch/ops/dcn/src/deform_conv_cuda_kernel.cu:845:46: warning: ‘at::DeprecatedTypeProperties& at::Tensor::type() const’ is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]
AT_DISPATCH_FLOATING_TYPES_AND_HALF(
^
/home/zwhua/anaconda3/envs/stdf/lib/python3.7/site-packages/torch/include/ATen/core/TensorBody.h:268:1: note: declared here
DeprecatedTypeProperties & type() const {
^ ~~
/home/zwhua/STDF-PyTorch/ops/dcn/src/deform_conv_cuda_kernel.cu:845:101: warning: ‘c10::ScalarType detail::scalar_type(const at::DeprecatedTypeProperties&)’ is deprecated: passing at::DeprecatedTypeProperties to an AT_DISPATCH macro is deprecated, pass an at::ScalarType instead [-Wdeprecated-declarations]
AT_DISPATCH_FLOATING_TYPES_AND_HALF(
^
/home/zwhua/anaconda3/envs/stdf/lib/python3.7/site-packages/torch/include/ATen/Dispatch.h:66:1: note: declared here
inline at::ScalarType scalar_type(const at::DeprecatedTypeProperties& t) {
^~~~~~~~~~~
/usr/include/c++/7/bits/basic_string.tcc: In instantiation of ‘static std::basic_string<_CharT, _Traits, _Alloc>::_Rep* std::basic_string<_CharT, _Traits, _Alloc>::_Rep::_S_create(std::basic_string<_CharT, _Traits, _Alloc>::size_type, std::basic_string<_CharT, _Traits, _Alloc>::size_type, const _Alloc&) [with _CharT = char16_t; _Traits = std::char_traits<char16_t>; _Alloc = std::allocator<char16_t>; std::basic_string<_CharT, _Traits, _Alloc>::size_type = long unsigned int]’:
/usr/include/c++/7/bits/basic_string.tcc:578:28: required from ‘static _CharT* std::basic_string<_CharT, _Traits, _Alloc>::_S_construct(_InIterator, _InIterator, const _Alloc&, std::forward_iterator_tag) [with _FwdIterator = const char16_t*; _CharT = char16_t; _Traits = std::char_traits<char16_t>; _Alloc = std::allocator<char16_t>]’
/usr/include/c++/7/bits/basic_string.h:5042:20: required from ‘static _CharT* std::basic_string<_CharT, _Traits, _Alloc>::_S_construct_aux(_InIterator, _InIterator, const _Alloc&, std::__false_type) [with _InIterator = const char16_t*; _CharT = char16_t; _Traits = std::char_traits<char16_t>; _Alloc = std::allocator<char16_t>]’
/usr/include/c++/7/bits/basic_string.h:5063:24: required from ‘static _CharT* std::basic_string<_CharT, _Traits, _Alloc>::_S_construct(_InIterator, _InIterator, const _Alloc&) [with _InIterator = const char16_t*; _CharT = char16_t; _Traits = std::char_traits<char16_t>; _Alloc = std::allocator<char16_t>]’
/usr/include/c++/7/bits/basic_string.tcc:656:134: required from ‘std::basic_string<_CharT, _Traits, _Alloc>::basic_string(const _CharT*, std::basic_string<_CharT, _Traits, _Alloc>::size_type, const _Alloc&) [with _CharT = char16_t; _Traits = std::char_traits<char16_t>; _Alloc = std::allocator<char16_t>; std::basic_string<_CharT, _Traits, _Alloc>::size_type = long unsigned int]’
/usr/include/c++/7/bits/basic_string.h:6688:95: required from here
/usr/include/c++/7/bits/basic_string.tcc:1067:16: error: cannot call member function ‘void std::basic_string<_CharT, _Traits, _Alloc>::_Rep::_M_set_sharable() [with _CharT = char16_t; _Traits = std::char_traits<char16_t>; _Alloc = std::allocator<char16_t>]’ without object
__p->_M_set_sharable();
~~~~~~~~~^~
/usr/include/c++/7/bits/basic_string.tcc: In instantiation of ‘static std::basic_string<_CharT, _Traits, _Alloc>::_Rep* std::basic_string<_CharT, _Traits, _Alloc>::_Rep::_S_create(std::basic_string<_CharT, _Traits, _Alloc>::size_type, std::basic_string<_CharT, _Traits, _Alloc>::size_type, const _Alloc&) [with _CharT = char32_t; _Traits = std::char_traits<char32_t>; _Alloc = std::allocator<char32_t>; std::basic_string<_CharT, _Traits, _Alloc>::size_type = long unsigned int]’:
/usr/include/c++/7/bits/basic_string.tcc:578:28: required from ‘static _CharT* std::basic_string<_CharT, _Traits, _Alloc>::_S_construct(_InIterator, _InIterator, const _Alloc&, std::forward_iterator_tag) [with _FwdIterator = const char32_t*; _CharT = char32_t; _Traits = std::char_traits<char32_t>; _Alloc = std::allocator<char32_t>]’
/usr/include/c++/7/bits/basic_string.h:5042:20: required from ‘static _CharT* std::basic_string<_CharT, _Traits, _Alloc>::_S_construct_aux(_InIterator, _InIterator, const _Alloc&, std::__false_type) [with _InIterator = const char32_t*; _CharT = char32_t; _Traits = std::char_traits<char32_t>; _Alloc = std::allocator<char32_t>]’
/usr/include/c++/7/bits/basic_string.h:5063:24: required from ‘static _CharT* std::basic_string<_CharT, _Traits, _Alloc>::_S_construct(_InIterator, _InIterator, const _Alloc&) [with _InIterator = const char32_t*; _CharT = char32_t; _Traits = std::char_traits<char32_t>; _Alloc = std::allocator<char32_t>]’
/usr/include/c++/7/bits/basic_string.tcc:656:134: required from ‘std::basic_string<_CharT, _Traits, _Alloc>::basic_string(const _CharT*, std::basic_string<_CharT, _Traits, _Alloc>::size_type, const _Alloc&) [with _CharT = char32_t; _Traits = std::char_traits<char32_t>; _Alloc = std::allocator<char32_t>; std::basic_string<_CharT, _Traits, _Alloc>::size_type = long unsigned int]’
/usr/include/c++/7/bits/basic_string.h:6693:95: required from here
/usr/include/c++/7/bits/basic_string.tcc:1067:16: error: cannot call member function ‘void std::basic_string<_CharT, _Traits, _Alloc>::_Rep::_M_set_sharable() [with _CharT = char32_t; _Traits = std::char_traits<char32_t>; _Alloc = std::allocator<char32_t>]’ without object
[2/2] c++ -MMD -MF /home/zwhua/STDF-PyTorch/ops/dcn/build/temp.linux-x86_64-3.7/src/deform_conv_cuda.o.d -pthread -B /home/zwhua/anaconda3/envs/stdf/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/home/zwhua/anaconda3/envs/stdf/lib/python3.7/site-packages/torch/include -I/home/zwhua/anaconda3/envs/stdf/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/home/zwhua/anaconda3/envs/stdf/lib/python3.7/site-packages/torch/include/TH -I/home/zwhua/anaconda3/envs/stdf/lib/python3.7/site-packages/torch/include/THC -I/usr/local/cuda-10.1/include -I/home/zwhua/anaconda3/envs/stdf/include/python3.7m -c -c /home/zwhua/STDF-PyTorch/ops/dcn/src/deform_conv_cuda.cpp -o /home/zwhua/STDF-PyTorch/ops/dcn/build/temp.linux-x86_64-3.7/src/deform_conv_cuda.o -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=deform_conv_cuda -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++14
cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++
In file included from /home/zwhua/anaconda3/envs/stdf/lib/python3.7/site-packages/torch/include/ATen/Parallel.h:149:0,
from /home/zwhua/anaconda3/envs/stdf/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/utils.h:3,
from /home/zwhua/anaconda3/envs/stdf/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:5,
from /home/zwhua/anaconda3/envs/stdf/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/nn.h:3,
from /home/zwhua/anaconda3/envs/stdf/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
from /home/zwhua/anaconda3/envs/stdf/lib/python3.7/site-packages/torch/include/torch/extension.h:4,
from /home/zwhua/STDF-PyTorch/ops/dcn/src/deform_conv_cuda.cpp:4:
/home/zwhua/anaconda3/envs/stdf/lib/python3.7/site-packages/torch/include/ATen/ParallelOpenMP.h:84:0: warning: ignoring #pragma omp parallel [-Wunknown-pragmas]
#pragma omp parallel for if ((end - begin) >= grain_size)
ninja: build stopped: subcommand failed.
Traceback (most recent call last):
File "/home/zwhua/anaconda3/envs/stdf/lib/python3.7/site-packages/torch/utils/cpp_extension.py", line 1515, in _run_ninja_build
env=env)
File "/home/zwhua/anaconda3/envs/stdf/lib/python3.7/subprocess.py", line 512, in run
output=stdout, stderr=stderr)
subprocess.CalledProcessError: Command '['ninja', '-v']' returned non-zero exit status 1.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "setup.py", line 12, in
cmdclass={'build_ext': BuildExtension})
File "/home/zwhua/anaconda3/envs/stdf/lib/python3.7/site-packages/setuptools/init.py", line 153, in setup
return distutils.core.setup(**attrs)
File "/home/zwhua/anaconda3/envs/stdf/lib/python3.7/distutils/core.py", line 148, in setup
dist.run_commands()
File "/home/zwhua/anaconda3/envs/stdf/lib/python3.7/distutils/dist.py", line 966, in run_commands
self.run_command(cmd)
File "/home/zwhua/anaconda3/envs/stdf/lib/python3.7/distutils/dist.py", line 985, in run_command
cmd_obj.run()
File "/home/zwhua/anaconda3/envs/stdf/lib/python3.7/site-packages/setuptools/command/build_ext.py", line 79, in run
_build_ext.run(self)
File "/home/zwhua/anaconda3/envs/stdf/lib/python3.7/distutils/command/build_ext.py", line 340, in run
self.build_extensions()
File "/home/zwhua/anaconda3/envs/stdf/lib/python3.7/site-packages/torch/utils/cpp_extension.py", line 649, in build_extensions
build_ext.build_extensions(self)
File "/home/zwhua/anaconda3/envs/stdf/lib/python3.7/distutils/command/build_ext.py", line 449, in build_extensions
self._build_extensions_serial()
File "/home/zwhua/anaconda3/envs/stdf/lib/python3.7/distutils/command/build_ext.py", line 474, in _build_extensions_serial
self.build_extension(ext)
File "/home/zwhua/anaconda3/envs/stdf/lib/python3.7/site-packages/setuptools/command/build_ext.py", line 202, in build_extension
_build_ext.build_extension(self, ext)
File "/home/zwhua/anaconda3/envs/stdf/lib/python3.7/distutils/command/build_ext.py", line 534, in build_extension
depends=ext.depends)
File "/home/zwhua/anaconda3/envs/stdf/lib/python3.7/site-packages/torch/utils/cpp_extension.py", line 478, in unix_wrap_ninja_compile
with_cuda=with_cuda)
File "/home/zwhua/anaconda3/envs/stdf/lib/python3.7/site-packages/torch/utils/cpp_extension.py", line 1233, in _write_ninja_file_and_compile_objects
error_prefix='Error compiling objects for extension')
File "/home/zwhua/anaconda3/envs/stdf/lib/python3.7/site-packages/torch/utils/cpp_extension.py", line 1529, in _run_ninja_build
raise RuntimeError(message)
RuntimeError: Error compiling objects for extension
thanks
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