可变形卷积DCNv3编译安装
相关环境
pytorch
cpp
torch 2.6.0+cu124
torchaudio 2.6.0+cu124
torchvision 0.21.0+cu124nvcc -V
cpp
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2024 NVIDIA Corporation
Built on Thu_Mar_28_02:18:24_PDT_2024
Cuda compilation tools, release 12.4, V12.4.131
Build cuda_12.4.r12.4/compiler.34097967_0nvidia-smi
cpp
Mon Dec 29 21:11:20 2025
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 580.76.05 Driver Version: 580.76.05 CUDA Version: 13.0 |
+-----------------------------------------+------------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+========================+======================|
| 0 NVIDIA GeForce RTX 4090 On | 00000000:38:00.0 Off | Off |
| 60% 62C P2 292W / 450W | 23525MiB / 24564MiB | 62% Default |
| | | N/A |
+-----------------------------------------+------------------------+----------------------+
| 1 NVIDIA GeForce RTX 4090 On | 00000000:B8:00.0 Off | Off |
| 42% 50C P2 190W / 450W | 14697MiB / 24564MiB | 68% Default |
| | | N/A |
+-----------------------------------------+------------------------+----------------------+
| 2 NVIDIA GeForce RTX 4090 On | 00000000:D8:00.0 Off | Off |
| 48% 54C P2 198W / 450W | 5449MiB / 24564MiB | 55% Default |
| | | N/A |
+-----------------------------------------+------------------------+----------------------+
+-----------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=========================================================================================|
| No running processes found |
+-----------------------------------------------------------------------------------------+gcc -V
cpp
Using built-in specs.
COLLECT_GCC=gcc
COLLECT_LTO_WRAPPER=/usr/lib/gcc/x86_64-linux-gnu/11/lto-wrapper
OFFLOAD_TARGET_NAMES=nvptx-none:amdgcn-amdhsa
OFFLOAD_TARGET_DEFAULT=1
Target: x86_64-linux-gnu
Configured with: ../src/configure -v --with-pkgversion='Ubuntu 11.4.0-1ubuntu1~22.04.2' --with-bugurl=file:///usr/share/doc/gcc-11/README.Bugs --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --prefix=/usr --with-gcc-major-version-only --program-suffix=-11 --program-prefix=x86_64-linux-gnu- --enable-shared --enable-linker-build-id --libexecdir=/usr/lib --without-included-gettext --enable-threads=posix --libdir=/usr/lib --enable-nls --enable-bootstrap --enable-clocale=gnu --enable-libstdcxx-debug --enable-libstdcxx-time=yes --with-default-libstdcxx-abi=new --enable-gnu-unique-object --disable-vtable-verify --enable-plugin --enable-default-pie --with-system-zlib --enable-libphobos-checking=release --with-target-system-zlib=auto --enable-objc-gc=auto --enable-multiarch --disable-werror --enable-cet --with-arch-32=i686 --with-abi=m64 --with-multilib-list=m32,m64,mx32 --enable-multilib --with-tune=generic --enable-offload-targets=nvptx-none=/build/gcc-11-2Y5pKs/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-2Y5pKs/gcc-11-11.4.0/debian/tmp-gcn/usr --without-cuda-driver --enable-checking=release --build=x86_64-linux-gnu --host=x86_64-linux-gnu --target=x86_64-linux-gnu --with-build-config=bootstrap-lto-lean --enable-link-serialization=2
Thread model: posix
Supported LTO compression algorithms: zlib zstd
gcc version 11.4.0 (Ubuntu 11.4.0-1ubuntu1~22.04.2) g++ -v
cpp
Using built-in specs.
COLLECT_GCC=g++
COLLECT_LTO_WRAPPER=/usr/lib/gcc/x86_64-linux-gnu/11/lto-wrapper
OFFLOAD_TARGET_NAMES=nvptx-none:amdgcn-amdhsa
OFFLOAD_TARGET_DEFAULT=1
Target: x86_64-linux-gnu
Configured with: ../src/configure -v --with-pkgversion='Ubuntu 11.4.0-1ubuntu1~22.04.2' --with-bugurl=file:///usr/share/doc/gcc-11/README.Bugs --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --prefix=/usr --with-gcc-major-version-only --program-suffix=-11 --program-prefix=x86_64-linux-gnu- --enable-shared --enable-linker-build-id --libexecdir=/usr/lib --without-included-gettext --enable-threads=posix --libdir=/usr/lib --enable-nls --enable-bootstrap --enable-clocale=gnu --enable-libstdcxx-debug --enable-libstdcxx-time=yes --with-default-libstdcxx-abi=new --enable-gnu-unique-object --disable-vtable-verify --enable-plugin --enable-default-pie --with-system-zlib --enable-libphobos-checking=release --with-target-system-zlib=auto --enable-objc-gc=auto --enable-multiarch --disable-werror --enable-cet --with-arch-32=i686 --with-abi=m64 --with-multilib-list=m32,m64,mx32 --enable-multilib --with-tune=generic --enable-offload-targets=nvptx-none=/build/gcc-11-2Y5pKs/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-2Y5pKs/gcc-11-11.4.0/debian/tmp-gcn/usr --without-cuda-driver --enable-checking=release --build=x86_64-linux-gnu --host=x86_64-linux-gnu --target=x86_64-linux-gnu --with-build-config=bootstrap-lto-lean --enable-link-serialization=2
Thread model: posix
Supported LTO compression algorithms: zlib zstd
gcc version 11.4.0 (Ubuntu 11.4.0-1ubuntu1~22.04.2) python
cpp
Python 3.11.14 (main, Oct 21 2025, 18:31:21) [GCC 11.2.0] on linux下载好可变形卷积DCNv3的源码
点击传送门即可下载
编译安装
第一步
进入ops_dcnv3命令。检查当前目录是否为ops_dcnv3根目录也就是setup.py文件的目录
cpp
(mambavision) root@b6cd5030aebc:~/local-disk/workspace/DAMamba/classification/models/ops_dcnv3# pwd
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3进入 ops_dcnv3目录执行安装命令
使用 pip 安装使用pip 命令
cpp
pip install --no-build-isolation . --verbose使用 python 安装使用python命令
cpp
python setup.py build install这两个编译安装命令哪个都行，笔者使用的是pip命令也就是
cpp
pip install --no-build-isolation . --verbose这个命令是使用 pip 安装本地 Python 包的一个具体方式，要看清楚了--no-build-isolation后面还有一个点（.）表示当前目录的意思，现在让我们来解析各个部分的含义：
-
pip install - 这是 Python 包管理工具 pip 的基本安装命令
-
--no-build-isolation - 这个选项禁用了构建隔离功能： 默认情况下，pip 会创建一个临时的隔离环境来构建包 禁用后，会使用当前环境中的依赖来构建包 通常用于调试或当你需要确保使用特定版本的构建依赖时
-
. - 表示安装当前目录下的包，通常这个目录包含 setup.py 或 pyproject.toml 文件
-
--verbose - 启用详细输出模式：
会显示更多安装过程中的细节，如下载地址、编译步骤等 有助于调试安装过程中出现的问题
第二部
执行编译指令
cpp
pip install --no-build-isolation . --verbose报错输出
cpp
(mambavision) root@b6cd5030aebc:~/local-disk/workspace/DAMamba/classification/models/ops_dcnv3# pip install --no-build-isolation . --verbose
Using pip 25.3 from /opt/conda/envs/mambavision/lib/python3.11/site-packages/pip (python 3.11)
Looking in indexes: http://mirrors.aliyun.com/pypi/simple/
Processing /root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3
Running command Preparing metadata (pyproject.toml)
running dist_info
creating /tmp/pip-modern-metadata-pl9t1dur/DCNv3.egg-info
writing /tmp/pip-modern-metadata-pl9t1dur/DCNv3.egg-info/PKG-INFO
writing dependency_links to /tmp/pip-modern-metadata-pl9t1dur/DCNv3.egg-info/dependency_links.txt
writing top-level names to /tmp/pip-modern-metadata-pl9t1dur/DCNv3.egg-info/top_level.txt
writing manifest file '/tmp/pip-modern-metadata-pl9t1dur/DCNv3.egg-info/SOURCES.txt'
reading manifest file '/tmp/pip-modern-metadata-pl9t1dur/DCNv3.egg-info/SOURCES.txt'
writing manifest file '/tmp/pip-modern-metadata-pl9t1dur/DCNv3.egg-info/SOURCES.txt'
creating '/tmp/pip-modern-metadata-pl9t1dur/dcnv3-1.1.dist-info'
Preparing metadata (pyproject.toml) ... done
Building wheels for collected packages: DCNv3
Running command Building wheel for DCNv3 (pyproject.toml)
running bdist_wheel
running build
running build_py
creating build/lib.linux-x86_64-cpython-311/functions
copying functions/__init__.py -> build/lib.linux-x86_64-cpython-311/functions
copying functions/dcnv3_func.py -> build/lib.linux-x86_64-cpython-311/functions
running build_ext
building 'DCNv3' extension
creating /root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/build/temp.linux-x86_64-cpython-311/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cpu
creating /root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/build/temp.linux-x86_64-cpython-311/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda
/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/utils/cpp_extension.py:2061: UserWarning: TORCH_CUDA_ARCH_LIST is not set, all archs for visible cards are included for compilation.
If this is not desired, please set os.environ['TORCH_CUDA_ARCH_LIST'].
warnings.warn(
Emitting ninja build file /root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/build/temp.linux-x86_64-cpython-311/build.ninja...
Compiling objects...
Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)
[1/3] c++ -MMD -MF /root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/build/temp.linux-x86_64-cpython-311/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cpu/dcnv3_cpu.o.d -pthread -B /opt/conda/envs/mambavision/compiler_compat -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/mambavision/include -fPIC -O2 -isystem /opt/conda/envs/mambavision/include -fPIC -DWITH_CUDA -I/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src -I/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include -I/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/TH -I/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/THC -I/opt/conda/envs/mambavision/include -I/opt/conda/envs/mambavision/include/python3.11 -c -c /root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cpu/dcnv3_cpu.cpp -o /root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/build/temp.linux-x86_64-cpython-311/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cpu/dcnv3_cpu.o -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=DCNv3 -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++17
[2/3] /opt/conda/envs/mambavision/bin/nvcc --generate-dependencies-with-compile --dependency-output /root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/build/temp.linux-x86_64-cpython-311/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.o.d -DWITH_CUDA -I/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src -I/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include -I/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/TH -I/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/THC -I/opt/conda/envs/mambavision/include -I/opt/conda/envs/mambavision/include/python3.11 -c -c /root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu -o /root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/build/temp.linux-x86_64-cpython-311/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''"'"'-fPIC'"'"'' -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=DCNv3 -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_89,code=compute_89 -gencode=arch=compute_89,code=sm_89 -std=c++17
FAILED: [code=2] /root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/build/temp.linux-x86_64-cpython-311/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.o
/opt/conda/envs/mambavision/bin/nvcc --generate-dependencies-with-compile --dependency-output /root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/build/temp.linux-x86_64-cpython-311/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.o.d -DWITH_CUDA -I/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src -I/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include -I/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/TH -I/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/THC -I/opt/conda/envs/mambavision/include -I/opt/conda/envs/mambavision/include/python3.11 -c -c /root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu -o /root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/build/temp.linux-x86_64-cpython-311/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''"'"'-fPIC'"'"'' -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=DCNv3 -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_89,code=compute_89 -gencode=arch=compute_89,code=sm_89 -std=c++17
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu(69): error: no suitable conversion function from "const at::DeprecatedTypeProperties" to "c10::ScalarType" exists
[&] { const auto& the_type = input.type(); constexpr const char* at_dispatch_name = "ms_deform_attn_forward_cuda"; at::ScalarType _st = ::detail::scalar_type(the_type); ; switch (_st) { case at::ScalarType::Double: { do { if constexpr (!at::should_include_kernel_dtype( at_dispatch_name, at::ScalarType::Double)) { if (!(false)) { ::c10::detail::torchCheckFail( __func__, "/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu", static_cast<uint32_t>(69), (::c10::detail::torchCheckMsgImpl( "Expected " "false" " to be true, but got false. " "(Could this error message be improved? If so, " "please report an enhancement request to PyTorch.)", "dtype '", toString(at::ScalarType::Double), "' not selected for kernel tag ", at_dispatch_name))); }; } } while (0); using scalar_t [[maybe_unused]] = c10::impl::ScalarTypeToCPPTypeT<at::ScalarType::Double>; return ([&] { dcnv3_im2col_cuda( at::cuda::getCurrentCUDAStream(), input.data<scalar_t>() + n * im2col_step_ * per_input_size, offset.data<scalar_t>() + n * im2col_step_ * per_offset_size, mask.data<scalar_t>() + n * im2col_step_ * per_mask_size, columns.data<scalar_t>(), kernel_h, kernel_w, stride_h, stride_w, pad_h, pad_w, dilation_h, dilation_w, group, group_channels, batch_n, height_in, width_in, height_out, width_out, offset_scale, remove_center); })(); } case at::ScalarType::Float: { do { if constexpr (!at::should_include_kernel_dtype( at_dispatch_name, at::ScalarType::Float)) { if (!(false)) { ::c10::detail::torchCheckFail( __func__, "/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu", static_cast<uint32_t>(69), (::c10::detail::torchCheckMsgImpl( "Expected " "false" " to be true, but got false. " "(Could this error message be improved? If so, " "please report an enhancement request to PyTorch.)", "dtype '", toString(at::ScalarType::Float), "' not selected for kernel tag ", at_dispatch_name))); }; } } while (0); using scalar_t [[maybe_unused]] = c10::impl::ScalarTypeToCPPTypeT<at::ScalarType::Float>; return ([&] { dcnv3_im2col_cuda( at::cuda::getCurrentCUDAStream(), input.data<scalar_t>() + n * im2col_step_ * per_input_size, offset.data<scalar_t>() + n * im2col_step_ * per_offset_size, mask.data<scalar_t>() + n * im2col_step_ * per_mask_size, columns.data<scalar_t>(), kernel_h, kernel_w, stride_h, stride_w, pad_h, pad_w, dilation_h, dilation_w, group, group_channels, batch_n, height_in, width_in, height_out, width_out, offset_scale, remove_center); })(); } case at::ScalarType::Half: { do { if constexpr (!at::should_include_kernel_dtype( at_dispatch_name, at::ScalarType::Half)) { if (!(false)) { ::c10::detail::torchCheckFail( __func__, "/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu", static_cast<uint32_t>(69), (::c10::detail::torchCheckMsgImpl( "Expected " "false" " to be true, but got false. " "(Could this error message be improved? If so, " "please report an enhancement request to PyTorch.)", "dtype '", toString(at::ScalarType::Half), "' not selected for kernel tag ", at_dispatch_name))); }; } } while (0); using scalar_t [[maybe_unused]] = c10::impl::ScalarTypeToCPPTypeT<at::ScalarType::Half>; return ([&] { dcnv3_im2col_cuda( at::cuda::getCurrentCUDAStream(), input.data<scalar_t>() + n * im2col_step_ * per_input_size, offset.data<scalar_t>() + n * im2col_step_ * per_offset_size, mask.data<scalar_t>() + n * im2col_step_ * per_mask_size, columns.data<scalar_t>(), kernel_h, kernel_w, stride_h, stride_w, pad_h, pad_w, dilation_h, dilation_w, group, group_channels, batch_n, height_in, width_in, height_out, width_out, offset_scale, remove_center); })(); } default: if (!(false)) { ::c10::detail::torchCheckFail( __func__, "/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu", static_cast<uint32_t>(69), (::c10::detail::torchCheckMsgImpl( "Expected " "false" " to be true, but got false. " "(Could this error message be improved? If so, " "please report an enhancement request to PyTorch.)", '"', at_dispatch_name, "\" not implemented for '", toString(_st), "'"))); }; } }()
^
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu(147): error: no suitable conversion function from "const at::DeprecatedTypeProperties" to "c10::ScalarType" exists
[&] { const auto& the_type = input.type(); constexpr const char* at_dispatch_name = "ms_deform_attn_backward_cuda"; at::ScalarType _st = ::detail::scalar_type(the_type); ; switch (_st) { case at::ScalarType::Double: { do { if constexpr (!at::should_include_kernel_dtype( at_dispatch_name, at::ScalarType::Double)) { if (!(false)) { ::c10::detail::torchCheckFail( __func__, "/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu", static_cast<uint32_t>(147), (::c10::detail::torchCheckMsgImpl( "Expected " "false" " to be true, but got false. " "(Could this error message be improved? If so, " "please report an enhancement request to PyTorch.)", "dtype '", toString(at::ScalarType::Double), "' not selected for kernel tag ", at_dispatch_name))); }; } } while (0); using scalar_t [[maybe_unused]] = c10::impl::ScalarTypeToCPPTypeT<at::ScalarType::Double>; return ([&] { dcnv3_col2im_cuda( at::cuda::getCurrentCUDAStream(), grad_output_g.data<scalar_t>(), input.data<scalar_t>() + n * im2col_step_ * per_input_size, offset.data<scalar_t>() + n * im2col_step_ * per_offset_size, mask.data<scalar_t>() + n * im2col_step_ * per_mask_size, kernel_h, kernel_w, stride_h, stride_w, pad_h, pad_w, dilation_h, dilation_w, group, group_channels, batch_n, height_in, width_in, height_out, width_out, offset_scale, remove_center, grad_input.data<at::opmath_type<scalar_t> >() + n * im2col_step_ * per_input_size, grad_offset.data<at::opmath_type<scalar_t> >() + n * im2col_step_ * per_offset_size, grad_mask.data<at::opmath_type<scalar_t> >() + n * im2col_step_ * per_mask_size); })(); } case at::ScalarType::Float: { do { if constexpr (!at::should_include_kernel_dtype( at_dispatch_name, at::ScalarType::Float)) { if (!(false)) { ::c10::detail::torchCheckFail( __func__, "/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu", static_cast<uint32_t>(147), (::c10::detail::torchCheckMsgImpl( "Expected " "false" " to be true, but got false. " "(Could this error message be improved? If so, " "please report an enhancement request to PyTorch.)", "dtype '", toString(at::ScalarType::Float), "' not selected for kernel tag ", at_dispatch_name))); }; } } while (0); using scalar_t [[maybe_unused]] = c10::impl::ScalarTypeToCPPTypeT<at::ScalarType::Float>; return ([&] { dcnv3_col2im_cuda( at::cuda::getCurrentCUDAStream(), grad_output_g.data<scalar_t>(), input.data<scalar_t>() + n * im2col_step_ * per_input_size, offset.data<scalar_t>() + n * im2col_step_ * per_offset_size, mask.data<scalar_t>() + n * im2col_step_ * per_mask_size, kernel_h, kernel_w, stride_h, stride_w, pad_h, pad_w, dilation_h, dilation_w, group, group_channels, batch_n, height_in, width_in, height_out, width_out, offset_scale, remove_center, grad_input.data<at::opmath_type<scalar_t> >() + n * im2col_step_ * per_input_size, grad_offset.data<at::opmath_type<scalar_t> >() + n * im2col_step_ * per_offset_size, grad_mask.data<at::opmath_type<scalar_t> >() + n * im2col_step_ * per_mask_size); })(); } case at::ScalarType::Half: { do { if constexpr (!at::should_include_kernel_dtype( at_dispatch_name, at::ScalarType::Half)) { if (!(false)) { ::c10::detail::torchCheckFail( __func__, "/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu", static_cast<uint32_t>(147), (::c10::detail::torchCheckMsgImpl( "Expected " "false" " to be true, but got false. " "(Could this error message be improved? If so, " "please report an enhancement request to PyTorch.)", "dtype '", toString(at::ScalarType::Half), "' not selected for kernel tag ", at_dispatch_name))); }; } } while (0); using scalar_t [[maybe_unused]] = c10::impl::ScalarTypeToCPPTypeT<at::ScalarType::Half>; return ([&] { dcnv3_col2im_cuda( at::cuda::getCurrentCUDAStream(), grad_output_g.data<scalar_t>(), input.data<scalar_t>() + n * im2col_step_ * per_input_size, offset.data<scalar_t>() + n * im2col_step_ * per_offset_size, mask.data<scalar_t>() + n * im2col_step_ * per_mask_size, kernel_h, kernel_w, stride_h, stride_w, pad_h, pad_w, dilation_h, dilation_w, group, group_channels, batch_n, height_in, width_in, height_out, width_out, offset_scale, remove_center, grad_input.data<at::opmath_type<scalar_t> >() + n * im2col_step_ * per_input_size, grad_offset.data<at::opmath_type<scalar_t> >() + n * im2col_step_ * per_offset_size, grad_mask.data<at::opmath_type<scalar_t> >() + n * im2col_step_ * per_mask_size); })(); } default: if (!(false)) { ::c10::detail::torchCheckFail( __func__, "/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu", static_cast<uint32_t>(147), (::c10::detail::torchCheckMsgImpl( "Expected " "false" " to be true, but got false. " "(Could this error message be improved? If so, " "please report an enhancement request to PyTorch.)", '"', at_dispatch_name, "\" not implemented for '", toString(_st), "'"))); }; } }()
^
2 errors detected in the compilation of "/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu".
[3/3] c++ -MMD -MF /root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/build/temp.linux-x86_64-cpython-311/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/vision.o.d -pthread -B /opt/conda/envs/mambavision/compiler_compat -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/mambavision/include -fPIC -O2 -isystem /opt/conda/envs/mambavision/include -fPIC -DWITH_CUDA -I/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src -I/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include -I/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/TH -I/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/THC -I/opt/conda/envs/mambavision/include -I/opt/conda/envs/mambavision/include/python3.11 -c -c /root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/vision.cpp -o /root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/build/temp.linux-x86_64-cpython-311/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/vision.o -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=DCNv3 -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++17
In file included from /root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/vision.cpp:12:
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/dcnv3.h: In function 'at::Tensor dcnv3_forward(const at::Tensor&, const at::Tensor&, const at::Tensor&, int, int, int, int, int, int, int, int, int, int, float, int, int)':
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/dcnv3.h:27:19: 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]
27 | if (input.type().is_cuda()) {
| ~~~~~~~~~~^~
In file included from /opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/core/Tensor.h:3,
from /opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/Tensor.h:3,
from /opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
from /opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
from /opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
from /opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
from /opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
from /opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
from /opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/torch/extension.h:5,
from /root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cpu/dcnv3_cpu.h:13,
from /root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/dcnv3.h:14,
from /root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/vision.cpp:12:
/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/core/TensorBody.h:225:30: note: declared here
225 | DeprecatedTypeProperties & type() const {
| ^~~~
In file included from /root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/vision.cpp:12:
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/dcnv3.h: In function 'std::vector<at::Tensor> dcnv3_backward(const at::Tensor&, const at::Tensor&, const at::Tensor&, int, int, int, int, int, int, int, int, int, int, float, const at::Tensor&, int, int)':
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/dcnv3.h:48:19: 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]
48 | if (input.type().is_cuda()) {
| ~~~~~~~~~~^~
In file included from /opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/core/Tensor.h:3,
from /opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/Tensor.h:3,
from /opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3,
from /opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2,
from /opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/torch/csrc/autograd/variable.h:6,
from /opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/torch/csrc/autograd/autograd.h:3,
from /opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3,
from /opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7,
from /opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/torch/extension.h:5,
from /root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cpu/dcnv3_cpu.h:13,
from /root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/dcnv3.h:14,
from /root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/vision.cpp:12:
/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/core/TensorBody.h:225:30: note: declared here
225 | DeprecatedTypeProperties & type() const {
| ^~~~
ninja: build stopped: subcommand failed.
Traceback (most recent call last):
File "/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/utils/cpp_extension.py", line 2211, in _run_ninja_build
subprocess.run(
File "/opt/conda/envs/mambavision/lib/python3.11/subprocess.py", line 571, in run
raise CalledProcessError(retcode, process.args,
subprocess.CalledProcessError: Command '['ninja', '-v']' returned non-zero exit status 2.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/opt/conda/envs/mambavision/lib/python3.11/site-packages/pip/_vendor/pyproject_hooks/_in_process/_in_process.py", line 389, in <module>
main()
File "/opt/conda/envs/mambavision/lib/python3.11/site-packages/pip/_vendor/pyproject_hooks/_in_process/_in_process.py", line 373, in main
json_out["return_val"] = hook(**hook_input["kwargs"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/conda/envs/mambavision/lib/python3.11/site-packages/pip/_vendor/pyproject_hooks/_in_process/_in_process.py", line 280, in build_wheel
return _build_backend().build_wheel(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/conda/envs/mambavision/lib/python3.11/site-packages/setuptools/build_meta.py", line 435, in build_wheel
return _build(['bdist_wheel', '--dist-info-dir', str(metadata_directory)])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/conda/envs/mambavision/lib/python3.11/site-packages/setuptools/build_meta.py", line 423, in _build
return self._build_with_temp_dir(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/conda/envs/mambavision/lib/python3.11/site-packages/setuptools/build_meta.py", line 404, in _build_with_temp_dir
self.run_setup()
File "/opt/conda/envs/mambavision/lib/python3.11/site-packages/setuptools/build_meta.py", line 512, in run_setup
super().run_setup(setup_script=setup_script)
File "/opt/conda/envs/mambavision/lib/python3.11/site-packages/setuptools/build_meta.py", line 317, in run_setup
exec(code, locals())
File "<string>", line 62, in <module>
File "/opt/conda/envs/mambavision/lib/python3.11/site-packages/setuptools/__init__.py", line 115, in setup
return distutils.core.setup(**attrs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/conda/envs/mambavision/lib/python3.11/site-packages/setuptools/_distutils/core.py", line 186, in setup
return run_commands(dist)
^^^^^^^^^^^^^^^^^^
File "/opt/conda/envs/mambavision/lib/python3.11/site-packages/setuptools/_distutils/core.py", line 202, in run_commands
dist.run_commands()
File "/opt/conda/envs/mambavision/lib/python3.11/site-packages/setuptools/_distutils/dist.py", line 1002, in run_commands
self.run_command(cmd)
File "/opt/conda/envs/mambavision/lib/python3.11/site-packages/setuptools/dist.py", line 1102, in run_command
super().run_command(command)
File "/opt/conda/envs/mambavision/lib/python3.11/site-packages/setuptools/_distutils/dist.py", line 1021, in run_command
cmd_obj.run()
File "/opt/conda/envs/mambavision/lib/python3.11/site-packages/setuptools/command/bdist_wheel.py", line 370, in run
self.run_command("build")
File "/opt/conda/envs/mambavision/lib/python3.11/site-packages/setuptools/_distutils/cmd.py", line 357, in run_command
self.distribution.run_command(command)
File "/opt/conda/envs/mambavision/lib/python3.11/site-packages/setuptools/dist.py", line 1102, in run_command
super().run_command(command)
File "/opt/conda/envs/mambavision/lib/python3.11/site-packages/setuptools/_distutils/dist.py", line 1021, in run_command
cmd_obj.run()
File "/opt/conda/envs/mambavision/lib/python3.11/site-packages/setuptools/_distutils/command/build.py", line 135, in run
self.run_command(cmd_name)
File "/opt/conda/envs/mambavision/lib/python3.11/site-packages/setuptools/_distutils/cmd.py", line 357, in run_command
self.distribution.run_command(command)
File "/opt/conda/envs/mambavision/lib/python3.11/site-packages/setuptools/dist.py", line 1102, in run_command
super().run_command(command)
File "/opt/conda/envs/mambavision/lib/python3.11/site-packages/setuptools/_distutils/dist.py", line 1021, in run_command
cmd_obj.run()
File "/opt/conda/envs/mambavision/lib/python3.11/site-packages/setuptools/command/build_ext.py", line 96, in run
_build_ext.run(self)
File "/opt/conda/envs/mambavision/lib/python3.11/site-packages/setuptools/_distutils/command/build_ext.py", line 368, in run
self.build_extensions()
File "/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/utils/cpp_extension.py", line 902, in build_extensions
build_ext.build_extensions(self)
File "/opt/conda/envs/mambavision/lib/python3.11/site-packages/setuptools/_distutils/command/build_ext.py", line 484, in build_extensions
self._build_extensions_serial()
File "/opt/conda/envs/mambavision/lib/python3.11/site-packages/setuptools/_distutils/command/build_ext.py", line 510, in _build_extensions_serial
self.build_extension(ext)
File "/opt/conda/envs/mambavision/lib/python3.11/site-packages/setuptools/command/build_ext.py", line 261, in build_extension
_build_ext.build_extension(self, ext)
File "/opt/conda/envs/mambavision/lib/python3.11/site-packages/setuptools/_distutils/command/build_ext.py", line 565, in build_extension
objects = self.compiler.compile(
^^^^^^^^^^^^^^^^^^^^^^
File "/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/utils/cpp_extension.py", line 715, in unix_wrap_ninja_compile
_write_ninja_file_and_compile_objects(
File "/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/utils/cpp_extension.py", line 1871, in _write_ninja_file_and_compile_objects
_run_ninja_build(
File "/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/utils/cpp_extension.py", line 2227, in _run_ninja_build
raise RuntimeError(message) from e
RuntimeError: Error compiling objects for extension
error: subprocess-exited-with-error
× Building wheel for DCNv3 (pyproject.toml) did not run successfully.
│ exit code: 1
╰─> No available output.
note: This error originates from a subprocess, and is likely not a problem with pip.
full command: /opt/conda/envs/mambavision/bin/python3.11 /opt/conda/envs/mambavision/lib/python3.11/site-packages/pip/_vendor/pyproject_hooks/_in_process/_in_process.py build_wheel /tmp/tmpkf60z76a
cwd: /root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3
Building wheel for DCNv3 (pyproject.toml) ... error
ERROR: Failed building wheel for DCNv3
Failed to build DCNv3
error: failed-wheel-build-for-install
× Failed to build installable wheels for some pyproject.toml based projects
╰─> DCNv3第三步
分析报错
找出报错输出中的重点信息
重点1
cpp
FAILED: [code=2] /root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/build/temp.linux-x86_64-cpython-311/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.o返回代码为2，说明编译流程异常，当然根据FAILED也很容易看出来，有东西编译失败了，再往后看可以看见dcnv3_cuda.o这个文件出了问题，从源码中寻找相关的源代码
根据文件命名方法可以看出显然是编译dcnv3_cuda.cu文件时出了异常
重点2
cpp
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu(69): error: no suitable conversion function from "const at::DeprecatedTypeProperties" to "c10::ScalarType" exists
[&] { const auto& the_type = input.type(); constexpr const char* at_dispatch_name = "ms_deform_attn_forward_cuda"; at::ScalarType _st = ::detail::scalar_type(the_type);可以看到正如上面的怀疑，dcnv3_cuda.cu文件在69行出现了error,继续往后看no suitable conversion function from "const at::DeprecatedTypeProperties" to "c10::ScalarType" exists说明没有合适的类型转换函数也就是说问题出在了这两个类型的转换上，那我们去源码里面看看
这里我们就可以看出问题了在新版本 PyTorch 中：
input.type() 返回的是已废弃的 const at::DeprecatedTypeProperties
应该使用 input.scalar_type() 直接获取 c10::ScalarType 类型，避免类型转换问题从一个废弃的类型转换到c10::ScalarType类型肯定会报出找不到合适的类型转换函数的错误。所以要把
cpp
input.type(), "ms_deform_attn_forward_cuda", ([&] {改为
cpp
input.scalar_type(), "ms_deform_attn_forward_cuda", ([&] {到这里我们解决了第一次发现的错误。现在我们继续往下看报错信息
重点3
cpp
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu(147): error: no suitable conversion function from "const at::DeprecatedTypeProperties" to "c10::ScalarType" exists
[&] { const auto& the_type = input.type(); constexpr const char* at_dispatch_name = "ms_deform_attn_backward_cuda"; at::ScalarType _st = ::detail::scalar_type(the_type);显然这个报错信息和重点2发现的报错信息很相似，都是同一个问题也就是无法从一个废弃的 const at::DeprecatedTypeProperties类型转换为c10::ScalarType类型。而且根据报错信息可以看到是在dcnv3_cuda.cu文件的147行
根据刚才经验我们只需要把
cpp
input.type(), "ms_deform_attn_backward_cuda", ([&] {修改为
cpp
input.scalar_type(), "ms_deform_attn_forward_cuda", ([&] {即可修复这个错误。很好，发现了两个问题而且都解决了。那我们接着看报错信息，看看还有没有其他错误
重点4
cpp
2 errors detected in the compilation of "/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu".编译器也在这里提示我们这个文件中发现了两个错误，显然根据刚才的分析我们已经解决了这两个问题，但是报错消息还有好多，我们不能掉以轻心，还需要分析一下后面的编译器输出结果，看看有没有遗漏的重点信息。
重点5
cpp
/root/local- /root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/dcnv3.h:27:19: 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]这是一个警告，告诉我们Tensor.type() 已弃用，根据dcnv3.h:27:19我们可以得知是在dcnv3.h文件的27行第19个字符上产生的警告。而且后面在告诉我们如果如果原本是想从 type() 获取相关数据，现在这些数据可以直接从 Tensor 对象本身获取：
- 替代方案1：原本的 tensor.type().scalar_type() 改为 tensor.scalar_type()
- 替代方案2：原本的 tensor.type().backend() 改为 tensor.device()
到这里我们可以发现貌似我们代码可能还有其他类似于使用了弃用属性的情况，我们继续看下面的编译器输出
重点6
cpp
if (input.type().is_cuda()) {
| ~~~~~~~~~~^~
In file included from /opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/core/Tensor.h:3,
cpp
225 | DeprecatedTypeProperties & type() const {
| ^~~~
In file included from /root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/vision.cpp:12:紧接着刚才重点5的警告信息出现两个错误提示，根据报错信息我们可以看见编译器贴心的给我们画了波浪线，让我们主要查看。那就结合刚才的重点5和现在的重点6我们去源代码查看一下吧，根据重点5的dcnv3.h:27:19提示我们优先去排查dcnv3.h文件的27行第19个字符
显然可以发现这dcnv3.h文件的27行代码是有问题的和重点5我们看见的警告一样，代码使用了废弃的API，警告中也告诉了我们解决这个问题的方法，那么我们根据重点5的警告提示把代码修改过来也就是把
cpp
if (input.type().is_cuda()) {换成
cpp
if (input.is_cuda()) {第二个错误
cpp
/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/core/TensorBody.h:225:30: note: declared here
225 | DeprecatedTypeProperties & type() const {
| ^~~~这并不在我们的相关代码中，这个错误指向了torch内部，一般情况下torch内部不会出现问题的，这个错误可能是上面的错误引发的连锁反应，我们可以暂且搁置，看看其他报错解决完后这些错误会不会一并自动被解决。我们继续阅读报错代码看看剩下的代码中还有什么有用的信息
重点7
cpp
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/dcnv3.h:48:19: 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]
48 | if (input.type().is_cuda()) {
| ~~~~~~~~~~^~
In file included from /opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/core/Tensor.h:3,
cpp
/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/core/TensorBody.h:225:30: note: declared here
225 | DeprecatedTypeProperties & type() const {
| ^~~~
ninja: build stopped: subcommand failed.和重点5重点6一样的警告和报错我们如法炮制来修复这个错误，根据dcnv3.h:48:19提示我们可以从dcnv3.h文件的48行第19个字符入手
根据上面的经验也就是说要把
cpp
if (input.type().is_cuda()) {改为
cpp
if (input.is_cuda()) {至此我们阅读完了所有的报错信息，成功修复了四处错误，我们可以进行下一步操作了。
尝试重新编译
再次执行编译指令
cpp
pip install --no-build-isolation . --verbose编译成功
cpp
(mambavision) root@b6cd5030aebc:~/local-disk/workspace/DAMamba/classification/models/ops_dcnv3# pip install --no-build-isolation . --verbose
Using pip 25.3 from /opt/conda/envs/mambavision/lib/python3.11/site-packages/pip (python 3.11)
Looking in indexes: http://mirrors.aliyun.com/pypi/simple/
Processing /root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3
Running command Preparing metadata (pyproject.toml)
running dist_info
creating /tmp/pip-modern-metadata-fy4603pq/DCNv3.egg-info
writing /tmp/pip-modern-metadata-fy4603pq/DCNv3.egg-info/PKG-INFO
writing dependency_links to /tmp/pip-modern-metadata-fy4603pq/DCNv3.egg-info/dependency_links.txt
writing top-level names to /tmp/pip-modern-metadata-fy4603pq/DCNv3.egg-info/top_level.txt
writing manifest file '/tmp/pip-modern-metadata-fy4603pq/DCNv3.egg-info/SOURCES.txt'
reading manifest file '/tmp/pip-modern-metadata-fy4603pq/DCNv3.egg-info/SOURCES.txt'
writing manifest file '/tmp/pip-modern-metadata-fy4603pq/DCNv3.egg-info/SOURCES.txt'
creating '/tmp/pip-modern-metadata-fy4603pq/dcnv3-1.1.dist-info'
Preparing metadata (pyproject.toml) ... done
Building wheels for collected packages: DCNv3
Running command Building wheel for DCNv3 (pyproject.toml)
running bdist_wheel
running build
running build_py
copying functions/__init__.py -> build/lib.linux-x86_64-cpython-311/functions
copying functions/dcnv3_func.py -> build/lib.linux-x86_64-cpython-311/functions
running build_ext
building 'DCNv3' extension
/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/utils/cpp_extension.py:2061: UserWarning: TORCH_CUDA_ARCH_LIST is not set, all archs for visible cards are included for compilation.
If this is not desired, please set os.environ['TORCH_CUDA_ARCH_LIST'].
warnings.warn(
Emitting ninja build file /root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/build/temp.linux-x86_64-cpython-311/build.ninja...
Compiling objects...
Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)
[1/2] c++ -MMD -MF /root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/build/temp.linux-x86_64-cpython-311/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/vision.o.d -pthread -B /opt/conda/envs/mambavision/compiler_compat -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/mambavision/include -fPIC -O2 -isystem /opt/conda/envs/mambavision/include -fPIC -DWITH_CUDA -I/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src -I/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include -I/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/TH -I/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/THC -I/opt/conda/envs/mambavision/include -I/opt/conda/envs/mambavision/include/python3.11 -c -c /root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/vision.cpp -o /root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/build/temp.linux-x86_64-cpython-311/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/vision.o -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=DCNv3 -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++17
[2/2] /opt/conda/envs/mambavision/bin/nvcc --generate-dependencies-with-compile --dependency-output /root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/build/temp.linux-x86_64-cpython-311/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.o.d -DWITH_CUDA -I/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src -I/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include -I/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/TH -I/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/THC -I/opt/conda/envs/mambavision/include -I/opt/conda/envs/mambavision/include/python3.11 -c -c /root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu -o /root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/build/temp.linux-x86_64-cpython-311/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''"'"'-fPIC'"'"'' -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=DCNv3 -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_89,code=compute_89 -gencode=arch=compute_89,code=sm_89 -std=c++17
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu: In function 'at::Tensor dcnv3_cuda_forward(const at::Tensor&, const at::Tensor&, const at::Tensor&, int, int, int, int, int, int, int, int, int, int, float, int, int)':
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu:32:61: 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]
32 | AT_ASSERTM(input.type().is_cuda(), "input must be a CUDA tensor");
| ~~~~~~~~~~^~
/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/core/TensorBody.h:225:1: note: declared here
225 | DeprecatedTypeProperties & type() const {
| ^ ~~
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu:33:62: 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]
33 | AT_ASSERTM(offset.type().is_cuda(), "offset must be a CUDA tensor");
| ~~~~~~~~~~~^~
/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/core/TensorBody.h:225:1: note: declared here
225 | DeprecatedTypeProperties & type() const {
| ^ ~~
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu:34:60: 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]
34 | AT_ASSERTM(mask.type().is_cuda(), "mask must be a CUDA tensor");
| ~~~~~~~~~^~
/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/core/TensorBody.h:225:1: note: declared here
225 | DeprecatedTypeProperties & type() const {
| ^ ~~
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu: In lambda function:
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu:69:986: warning: 'T* at::Tensor::data() const [with T = double]' is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [-Wdeprecated-declarations]
69 | AT_DISPATCH_FLOATING_TYPES_AND_HALF(
| ^
/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here
247 | T * data() const {
| ^ ~~
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu:69:1059: warning: 'T* at::Tensor::data() const [with T = double]' is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [-Wdeprecated-declarations]
69 | AT_DISPATCH_FLOATING_TYPES_AND_HALF(
| ^
/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here
247 | T * data() const {
| ^ ~~
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu:69:1131: warning: 'T* at::Tensor::data() const [with T = double]' is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [-Wdeprecated-declarations]
69 | AT_DISPATCH_FLOATING_TYPES_AND_HALF(
| ^
/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here
247 | T * data() const {
| ^ ~~
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu:69:1204: warning: 'T* at::Tensor::data() const [with T = double]' is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [-Wdeprecated-declarations]
69 | AT_DISPATCH_FLOATING_TYPES_AND_HALF(
| ^
/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here
247 | T * data() const {
| ^ ~~
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu: In lambda function:
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu:69:2183: warning: 'T* at::Tensor::data() const [with T = float]' is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [-Wdeprecated-declarations]
69 | AT_DISPATCH_FLOATING_TYPES_AND_HALF(
| ^
/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here
247 | T * data() const {
| ^ ~~
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu:69:2255: warning: 'T* at::Tensor::data() const [with T = float]' is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [-Wdeprecated-declarations]
69 | AT_DISPATCH_FLOATING_TYPES_AND_HALF(
| ^
/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here
247 | T * data() const {
| ^ ~~
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu:69:2326: warning: 'T* at::Tensor::data() const [with T = float]' is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [-Wdeprecated-declarations]
69 | AT_DISPATCH_FLOATING_TYPES_AND_HALF(
| ^
/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here
247 | T * data() const {
| ^ ~~
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu:69:2398: warning: 'T* at::Tensor::data() const [with T = float]' is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [-Wdeprecated-declarations]
69 | AT_DISPATCH_FLOATING_TYPES_AND_HALF(
| ^
/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here
247 | T * data() const {
| ^ ~~
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu: In lambda function:
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu:69:3377: warning: 'T* at::Tensor::data() const [with T = c10::Half]' is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [-Wdeprecated-declarations]
69 | AT_DISPATCH_FLOATING_TYPES_AND_HALF(
| ^
/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here
247 | T * data() const {
| ^ ~~
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu:69:3453: warning: 'T* at::Tensor::data() const [with T = c10::Half]' is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [-Wdeprecated-declarations]
69 | AT_DISPATCH_FLOATING_TYPES_AND_HALF(
| ^
/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here
247 | T * data() const {
| ^ ~~
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu:69:3528: warning: 'T* at::Tensor::data() const [with T = c10::Half]' is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [-Wdeprecated-declarations]
69 | AT_DISPATCH_FLOATING_TYPES_AND_HALF(
| ^
/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here
247 | T * data() const {
| ^ ~~
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu:69:3604: warning: 'T* at::Tensor::data() const [with T = c10::Half]' is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [-Wdeprecated-declarations]
69 | AT_DISPATCH_FLOATING_TYPES_AND_HALF(
| ^
/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here
247 | T * data() const {
| ^ ~~
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu: In function 'std::vector<at::Tensor> dcnv3_cuda_backward(const at::Tensor&, const at::Tensor&, const at::Tensor&, int, int, int, int, int, int, int, int, int, int, float, const at::Tensor&, int, int)':
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu:101:61: 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]
101 | AT_ASSERTM(input.type().is_cuda(), "input must be a CUDA tensor");
| ~~~~~~~~~~^~
/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/core/TensorBody.h:225:1: note: declared here
225 | DeprecatedTypeProperties & type() const {
| ^ ~~
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu:102:62: 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]
102 | AT_ASSERTM(offset.type().is_cuda(), "offset must be a CUDA tensor");
| ~~~~~~~~~~~^~
/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/core/TensorBody.h:225:1: note: declared here
225 | DeprecatedTypeProperties & type() const {
| ^ ~~
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu:103:60: 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]
103 | AT_ASSERTM(mask.type().is_cuda(), "mask must be a CUDA tensor");
| ~~~~~~~~~^~
/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/core/TensorBody.h:225:1: note: declared here
225 | DeprecatedTypeProperties & type() const {
| ^ ~~
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu:104:67: 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]
104 | AT_ASSERTM(grad_output.type().is_cuda(),
| ^
/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/core/TensorBody.h:225:1: note: declared here
225 | DeprecatedTypeProperties & type() const {
| ^ ~~
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu: In lambda function:
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu:147:996: warning: 'T* at::Tensor::data() const [with T = double]' is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [-Wdeprecated-declarations]
147 | AT_DISPATCH_FLOATING_TYPES_AND_HALF(
| ^
/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here
247 | T * data() const {
| ^ ~~
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu:147:1022: warning: 'T* at::Tensor::data() const [with T = double]' is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [-Wdeprecated-declarations]
147 | AT_DISPATCH_FLOATING_TYPES_AND_HALF(
| ^
/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here
247 | T * data() const {
| ^ ~~
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu:147:1095: warning: 'T* at::Tensor::data() const [with T = double]' is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [-Wdeprecated-declarations]
147 | AT_DISPATCH_FLOATING_TYPES_AND_HALF(
| ^
/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here
247 | T * data() const {
| ^ ~~
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu:147:1167: warning: 'T* at::Tensor::data() const [with T = double]' is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [-Wdeprecated-declarations]
147 | AT_DISPATCH_FLOATING_TYPES_AND_HALF(
| ^
/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here
247 | T * data() const {
| ^ ~~
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu:147:1426: warning: 'T* at::Tensor::data() const [with T = double]' is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [-Wdeprecated-declarations]
147 | AT_DISPATCH_FLOATING_TYPES_AND_HALF(
| ^
/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here
247 | T * data() const {
| ^ ~~
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu:147:1504: warning: 'T* at::Tensor::data() const [with T = double]' is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [-Wdeprecated-declarations]
147 | AT_DISPATCH_FLOATING_TYPES_AND_HALF(
| ^
/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here
247 | T * data() const {
| ^ ~~
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu:147:1581: warning: 'T* at::Tensor::data() const [with T = double]' is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [-Wdeprecated-declarations]
147 | AT_DISPATCH_FLOATING_TYPES_AND_HALF(
| ^
/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here
247 | T * data() const {
| ^ ~~
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu: In lambda function:
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu:147:2431: warning: 'T* at::Tensor::data() const [with T = float]' is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [-Wdeprecated-declarations]
147 | AT_DISPATCH_FLOATING_TYPES_AND_HALF(
| ^
/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here
247 | T * data() const {
| ^ ~~
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu:147:2456: warning: 'T* at::Tensor::data() const [with T = float]' is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [-Wdeprecated-declarations]
147 | AT_DISPATCH_FLOATING_TYPES_AND_HALF(
| ^
/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here
247 | T * data() const {
| ^ ~~
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu:147:2528: warning: 'T* at::Tensor::data() const [with T = float]' is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [-Wdeprecated-declarations]
147 | AT_DISPATCH_FLOATING_TYPES_AND_HALF(
| ^
/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here
247 | T * data() const {
| ^ ~~
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu:147:2599: warning: 'T* at::Tensor::data() const [with T = float]' is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [-Wdeprecated-declarations]
147 | AT_DISPATCH_FLOATING_TYPES_AND_HALF(
| ^
/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here
247 | T * data() const {
| ^ ~~
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu:147:2857: warning: 'T* at::Tensor::data() const [with T = float]' is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [-Wdeprecated-declarations]
147 | AT_DISPATCH_FLOATING_TYPES_AND_HALF(
| ^
/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here
247 | T * data() const {
| ^ ~~
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu:147:2934: warning: 'T* at::Tensor::data() const [with T = float]' is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [-Wdeprecated-declarations]
147 | AT_DISPATCH_FLOATING_TYPES_AND_HALF(
| ^
/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here
247 | T * data() const {
| ^ ~~
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu:147:3010: warning: 'T* at::Tensor::data() const [with T = float]' is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [-Wdeprecated-declarations]
147 | AT_DISPATCH_FLOATING_TYPES_AND_HALF(
| ^
/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here
247 | T * data() const {
| ^ ~~
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu: In lambda function:
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu:147:3860: warning: 'T* at::Tensor::data() const [with T = c10::Half]' is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [-Wdeprecated-declarations]
147 | AT_DISPATCH_FLOATING_TYPES_AND_HALF(
| ^
/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here
247 | T * data() const {
| ^ ~~
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu:147:3889: warning: 'T* at::Tensor::data() const [with T = c10::Half]' is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [-Wdeprecated-declarations]
147 | AT_DISPATCH_FLOATING_TYPES_AND_HALF(
| ^
/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here
247 | T * data() const {
| ^ ~~
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu:147:3965: warning: 'T* at::Tensor::data() const [with T = c10::Half]' is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [-Wdeprecated-declarations]
147 | AT_DISPATCH_FLOATING_TYPES_AND_HALF(
| ^
/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here
247 | T * data() const {
| ^ ~~
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu:147:4040: warning: 'T* at::Tensor::data() const [with T = c10::Half]' is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [-Wdeprecated-declarations]
147 | AT_DISPATCH_FLOATING_TYPES_AND_HALF(
| ^
/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here
247 | T * data() const {
| ^ ~~
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu:147: warning: 'T* at::Tensor::data() const [with T = float]' is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [-Wdeprecated-declarations]
147 | AT_DISPATCH_FLOATING_TYPES_AND_HALF(
|
/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here
247 | T * data() const {
| ^ ~~
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu:147: warning: 'T* at::Tensor::data() const [with T = float]' is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [-Wdeprecated-declarations]
147 | AT_DISPATCH_FLOATING_TYPES_AND_HALF(
|
/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here
247 | T * data() const {
| ^ ~~
/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.cu:147: warning: 'T* at::Tensor::data() const [with T = float]' is deprecated: Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead. [-Wdeprecated-declarations]
147 | AT_DISPATCH_FLOATING_TYPES_AND_HALF(
|
/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/include/ATen/core/TensorBody.h:247:1: note: declared here
247 | T * data() const {
| ^ ~~
g++ -pthread -B /opt/conda/envs/mambavision/compiler_compat -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/mambavision/include -fPIC -O2 -isystem /opt/conda/envs/mambavision/include -shared /root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/build/temp.linux-x86_64-cpython-311/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cpu/dcnv3_cpu.o /root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/build/temp.linux-x86_64-cpython-311/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/cuda/dcnv3_cuda.o /root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/build/temp.linux-x86_64-cpython-311/root/local-disk/workspace/DAMamba/classification/models/ops_dcnv3/src/vision.o -L/opt/conda/envs/mambavision/lib/python3.11/site-packages/torch/lib -L/opt/conda/envs/mambavision/lib64 -lc10 -ltorch -ltorch_cpu -ltorch_python -lcudart -lc10_cuda -ltorch_cuda -o build/lib.linux-x86_64-cpython-311/DCNv3.cpython-311-x86_64-linux-gnu.so
installing to build/bdist.linux-x86_64/wheel
running install
running install_lib
creating build/bdist.linux-x86_64/wheel
creating build/bdist.linux-x86_64/wheel/functions
copying build/lib.linux-x86_64-cpython-311/functions/__init__.py -> build/bdist.linux-x86_64/wheel/./functions
copying build/lib.linux-x86_64-cpython-311/functions/dcnv3_func.py -> build/bdist.linux-x86_64/wheel/./functions
copying build/lib.linux-x86_64-cpython-311/DCNv3.cpython-311-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/wheel/.
running install_egg_info
running egg_info
creating DCNv3.egg-info
writing DCNv3.egg-info/PKG-INFO
writing dependency_links to DCNv3.egg-info/dependency_links.txt
writing top-level names to DCNv3.egg-info/top_level.txt
writing manifest file 'DCNv3.egg-info/SOURCES.txt'
reading manifest file 'DCNv3.egg-info/SOURCES.txt'
writing manifest file 'DCNv3.egg-info/SOURCES.txt'
Copying DCNv3.egg-info to build/bdist.linux-x86_64/wheel/./DCNv3-1.1-py3.11.egg-info
running install_scripts
creating build/bdist.linux-x86_64/wheel/dcnv3-1.1.dist-info/WHEEL
creating '/tmp/pip-ephem-wheel-cache-0xgwpn6q/wheels/18/bb/9c/c3321148f05bd2d76c93e49b91b31682f80d2cd3e4fe2ab5ba/tmpzzcs1lik/.tmp-xxbu3q15/dcnv3-1.1-cp311-cp311-linux_x86_64.whl' and adding 'build/bdist.linux-x86_64/wheel' to it
adding 'DCNv3.cpython-311-x86_64-linux-gnu.so'
adding 'functions/__init__.py'
adding 'functions/dcnv3_func.py'
adding 'dcnv3-1.1.dist-info/METADATA'
adding 'dcnv3-1.1.dist-info/WHEEL'
adding 'dcnv3-1.1.dist-info/top_level.txt'
adding 'dcnv3-1.1.dist-info/RECORD'
removing build/bdist.linux-x86_64/wheel
Building wheel for DCNv3 (pyproject.toml) ... done
Created wheel for DCNv3: filename=dcnv3-1.1-cp311-cp311-linux_x86_64.whl size=358200 sha256=05b0f620d10bfd1d2d635dd0c18f12a1072bd094c6c08ad73551bd6c3f5b625c
Stored in directory: /tmp/pip-ephem-wheel-cache-0xgwpn6q/wheels/18/bb/9c/c3321148f05bd2d76c93e49b91b31682f80d2cd3e4fe2ab5ba
Successfully built DCNv3
Installing collected packages: DCNv3
Successfully installed DCNv3-1.1
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager, possibly rendering your system unusable. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv. Use the --root-user-action option if you know what you are doing and want to suppress this warning.
(mambavision) root@b6cd5030aebc:~/local-disk/workspace/DAMamba/classification/models/ops_dcnv3#