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install error: error: command 'E:\\program files\\C#\\VC\\BIN\\x86_amd64\\cl.exe' failed with exit status 2
See original GitHub issuehi, while trying to install your torch-scatter, i encounter a problem which i can’t fix it for a couple of days. I have built a new environment for it, and here is some information that may be concerned
(base) C:\WINDOWS\system32>activate torchwithsparse
(torchwithsparse) C:\WINDOWS\system32>python --version
Python 3.6.2 :: Continuum Analytics, Inc.
(torchwithsparse) C:\WINDOWS\system32>nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2019 NVIDIA Corporation
Built on Wed_Apr_24_19:11:20_Pacific_Daylight_Time_2019
Cuda compilation tools, release 10.1, V10.1.168
(torchwithsparse) C:\WINDOWS\system32>python
Python 3.6.2 |Continuum Analytics, Inc.| (default, Jul 20 2017, 12:30:02) [MSC v.1900 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import torch
>>> torch.cuda.is_available()
True
And below is the error log, i would really appreciate that you can give me some advice
(torchwithsparse) C:\WINDOWS\system32>python -c "import torch; print(torch.__version__)"
1.1.0
(torchwithsparse) C:\WINDOWS\system32>pip install torch-scatter
Collecting torch-scatter
Using cached https://files.pythonhosted.org/packages/35/d4/750403a8aa32cdb3d2d05849c6a10e4e0604de5e0cc94b81a0d0d69a75f3/torch_scatter-1.3.1.tar.gz
Building wheels for collected packages: torch-scatter
Building wheel for torch-scatter (setup.py) ... error
ERROR: Complete output from command 'e:\anaconda\envs\torchwithsparse\python.exe' -u -c 'import setuptools, tokenize;__file__='"'"'C:\\Users\\WANG\\AppData\\Local\\Temp\\pip-install-bkdrkgzk\\torch-scatter\\setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(__file__);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' bdist_wheel -d 'C:\Users\WANG\AppData\Local\Temp\pip-wheel-vo8ut1jl' --python-tag cp36:
ERROR: running bdist_wheel
running build
running build_py
creating build
creating build\lib.win-amd64-3.6
creating build\lib.win-amd64-3.6\test
copying test\test_backward.py -> build\lib.win-amd64-3.6\test
copying test\test_forward.py -> build\lib.win-amd64-3.6\test
copying test\test_max_min.py -> build\lib.win-amd64-3.6\test
copying test\test_multi_gpu.py -> build\lib.win-amd64-3.6\test
copying test\test_std.py -> build\lib.win-amd64-3.6\test
copying test\utils.py -> build\lib.win-amd64-3.6\test
copying test\__init__.py -> build\lib.win-amd64-3.6\test
creating build\lib.win-amd64-3.6\torch_scatter
copying torch_scatter\add.py -> build\lib.win-amd64-3.6\torch_scatter
copying torch_scatter\div.py -> build\lib.win-amd64-3.6\torch_scatter
copying torch_scatter\max.py -> build\lib.win-amd64-3.6\torch_scatter
copying torch_scatter\mean.py -> build\lib.win-amd64-3.6\torch_scatter
copying torch_scatter\min.py -> build\lib.win-amd64-3.6\torch_scatter
copying torch_scatter\mul.py -> build\lib.win-amd64-3.6\torch_scatter
copying torch_scatter\std.py -> build\lib.win-amd64-3.6\torch_scatter
copying torch_scatter\sub.py -> build\lib.win-amd64-3.6\torch_scatter
copying torch_scatter\__init__.py -> build\lib.win-amd64-3.6\torch_scatter
creating build\lib.win-amd64-3.6\torch_scatter\utils
copying torch_scatter\utils\ext.py -> build\lib.win-amd64-3.6\torch_scatter\utils
copying torch_scatter\utils\gen.py -> build\lib.win-amd64-3.6\torch_scatter\utils
copying torch_scatter\utils\__init__.py -> build\lib.win-amd64-3.6\torch_scatter\utils
running build_ext
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\utils\cpp_extension.py:184: UserWarning: Error checking compiler version for cl: [WinError 2] 系统找不到指定的文件。
warnings.warn('Error checking compiler version for {}: {}'.format(compiler, error))
building 'torch_scatter.scatter_cpu' extension
creating build\temp.win-amd64-3.6
creating build\temp.win-amd64-3.6\Release
creating build\temp.win-amd64-3.6\Release\cpu
E:\program files\C#\VC\BIN\x86_amd64\cl.exe /c /nologo /Ox /W3 /GL /DNDEBUG /MD -Ie:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include -Ie:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include -Ie:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\TH -Ie:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\THC -Ie:\anaconda\envs\torchwithsparse\include -Ie:\anaconda\envs\torchwithsparse\include "-IE:\program files\C#\VC\INCLUDE" "-IE:\program files\C#\VC\ATLMFC\INCLUDE" "-IC:\Program Files (x86)\Windows Kits\10\include\10.0.10150.0\ucrt" "-IC:\Program Files (x86)\Windows Kits\NETFXSDK\4.6.1\include\um" "-IC:\Program Files (x86)\Windows Kits\8.1\include\\shared" "-IC:\Program Files (x86)\Windows Kits\8.1\include\\um" "-IC:\Program Files (x86)\Windows Kits\8.1\include\\winrt" /EHsc /Tpcpu/scatter.cpp /Fobuild\temp.win-amd64-3.6\Release\cpu/scatter.obj -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=scatter_cpu -D_GLIBCXX_USE_CXX11_ABI=0 /MD
scatter.cpp
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/Exception.h(27): warning C4275: 非 dll 接口 class“std::exception”用作 dll 接口 class“c10::Error”的基
E:\program files\C#\VC\INCLUDE\vcruntime_exception.h(43): note: 参见“std::exception”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/Exception.h(27): note: 参见“c10::Error”的 声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/Exception.h(28): warning C4251: “c10::Error::msg_stack_”: class“std::vector<std::string,std::allocator<_Ty>>”需要有 dll 接口由 class“c10::Error”的客户端使用
with
[
_Ty=std::string
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/Exception.h(29): warning C4251: “c10::Error::backtrace_”: class“std::basic_string<char,std::char_traits<char>,std::allocator<char>>”需要有 dll 接口由 class“c10::Error”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/Exception.h(34): warning C4251: “c10::Error::msg_”: class“std::basic_string<char,std::char_traits<char>,std::allocator<char>>”需要有 dll 接口由 class“c10::Error”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/Exception.h(35): warning C4251: “c10::Error::msg_without_backtrace_”: class“std::basic_string<char,std::char_traits<char>,std::allocator<char>>”需要有 dll 接口 由 class“c10::Error”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/Allocator.h(21): warning C4251: “c10::DataPtr::ptr_”: class“c10::detail::UniqueVoidPtr”需要有 dll 接口由 class“c10::DataPtr”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/UniqueVoidPtr.h(38): note: 参见“c10::detail::UniqueVoidPtr”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/Allocator.h(183): warning C4251: “c10::InefficientStdFunctionContext::ptr_”: class“std::unique_ptr<void,std::function<void (void *)>>”需要有 dll 接口由 struct“c10::InefficientStdFunctionContext”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/TensorTypeIdRegistration.h(32): warning C4251: “c10::TensorTypeIdCreator::last_id_”: struct“std::atomic<unsigned char>”需要有 dll 接口由 class“c10::TensorTypeIdCreator”的客户端使用
E:\program files\C#\VC\INCLUDE\xxatomic(168): note: 参见“std::atomic<unsigned char>”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/TensorTypeIdRegistration.h(45): warning C4251: “c10::TensorTypeIdRegistry::registeredTypeIds_”: class“std::unordered_set<c10::TensorTypeId,std::hash<c10::TensorTypeId>,std::equal_to<_Kty>,std::allocator<_Kty>>”需要有 dll 接口由 class“c10::TensorTypeIdRegistry”的客户端使用
with
[
_Kty=c10::TensorTypeId
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/TensorTypeIdRegistration.h(46): warning C4251: “c10::TensorTypeIdRegistry::mutex_”: class“std::mutex”需要有 dll 接口由 class“c10::TensorTypeIdRegistry”的客户 端使用
E:\program files\C#\VC\INCLUDE\mutex(76): note: 参见“std::mutex”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/Half-inl.h(168): warning C4244: “参数”: 从“int”转换到“float”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/Half-inl.h(171): warning C4244: “参数”: 从“int”转换到“float”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/Half-inl.h(174): warning C4244: “参数”: 从“int”转换到“float”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/Half-inl.h(177): warning C4244: “参数”: 从“int”转换到“float”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/Half-inl.h(181): warning C4244: “参数”: 从“int”转换到“float”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/Half-inl.h(184): warning C4244: “参数”: 从“int”转换到“float”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/Half-inl.h(187): warning C4244: “参数”: 从“int”转换到“float”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/Half-inl.h(190): warning C4244: “参数”: 从“int”转换到“float”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/Half-inl.h(196): warning C4244: “参数”: 从“int64_t”转换到“float”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/Half-inl.h(199): warning C4244: “参数”: 从“int64_t”转换到“float”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/Half-inl.h(202): warning C4244: “参数”: 从“int64_t”转换到“float”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/Half-inl.h(205): warning C4244: “参数”: 从“int64_t”转换到“float”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/Half-inl.h(209): warning C4244: “参数”: 从“int64_t”转换到“float”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/Half-inl.h(212): warning C4244: “参数”: 从“int64_t”转换到“float”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/Half-inl.h(215): warning C4244: “参数”: 从“int64_t”转换到“float”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/Half-inl.h(218): warning C4244: “参数”: 从“int64_t”转换到“float”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(70): error C2134: “caffe2::TypeIdentifier::TypeIdentifier”: 调用不会生成常数表达式
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(70): note: 对未定义的函数或为未声明为“constexpr”的函数的调用导致了故障
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(84): note: 参见“caffe2::TypeIdentifier::TypeIdentifier”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(328): error C2071: “caffe2::TypeMeta::New”: 非法的存储类
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(329): error C2071: “caffe2::TypeMeta::PlacementNew”: 非法的存储类
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(330): error C2071: “caffe2::TypeMeta::Copy”: 非法的存储类
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(331): error C2071: “caffe2::TypeMeta::PlacementDelete”: 非法的存储类
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(332): error C2071: “caffe2::TypeMeta::Delete”: 非法的存储类
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(371): error C2327: “caffe2::TypeMeta::New”: 不是类型名称、静态或枚举数
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(371): error C2143: 语法错误: 缺少“;”(在“*”的前面)
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(371): error C4430: 缺少类型说明符 - 假定为 int。注意: C++ 不支持默认 int
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(371): error C2126: 不能使用“constexpr”说明符声明“caffe2::TypeMeta::New”
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(371): error C2334: “{”��前面有 意外标记；跳过明显的函数体
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(377): error C2327: “caffe2::TypeMeta::PlacementNew”: 不是类型名称、静态或枚举数
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(377): error C2143: 语法错误: 缺少“;”(在“*”的前面)
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(377): error C4430: 缺少类型说明符 - 假定为 int。注意: C++ 不支持默认 int
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(377): error C2126: 不能使用“constexpr”说明符声明“caffe2::TypeMeta::PlacementNew”
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(377): error C2334: “{”的前面有意 外标记；跳过明显的函数体
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(383): error C2327: “caffe2::TypeMeta::Copy”: 不是类型名称、静态或枚举数
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(383): error C2143: 语法错误: 缺少“;”(在“*”的前面)
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(383): error C4430: 缺少类型说明符 - 假定为 int。注意: C++ 不支持默认 int
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(383): error C2126: 不能使用“constexpr”说明符声明“caffe2::TypeMeta::Copy”
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(383): error C2334: “{”的前面有意 外标记；跳过明显的函数体
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(389): error C2327: “caffe2::TypeMeta::PlacementDelete”: 不是类型名称、静态或枚举数
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(389): error C2143: 语法错误: 缺少“;”(在“*”的前面)
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(389): error C4430: 缺少类型说明符 - 假定为 int。注意: C++ 不支持默认 int
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(389): error C2126: 不能使用“constexpr”说明符声明“caffe2::TypeMeta::PlacementDelete”
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(389): error C2334: “{”的前面有意 外标记；跳过明显的函数体
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(392): error C2327: “caffe2::TypeMeta::Delete”: 不是类型名称、静态或枚举数
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(392): error C2143: 语法错误: 缺少“;”(在“*”的前面)
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(392): error C4430: 缺少类型说明符 - 假定为 int。注意: C++ 不支持默认 int
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(392): error C2126: 不能使用“constexpr”说明符声明“caffe2::TypeMeta::Delete”
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(392): error C2334: “{”的前面有意 外标记；跳过明显的函数体
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(355): error C2476: “constexpr”构 造函数不会初始化所有成员
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(328): note: 构造函数未初始化“caffe2::TypeMeta::New”
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(329): note: 构造函数未初始化“caffe2::TypeMeta::PlacementNew”
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(330): note: 构造函数未初始化“caffe2::TypeMeta::Copy”
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(331): note: 构造函数未初始化“caffe2::TypeMeta::PlacementDelete”
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(332): note: 构造函数未初始化“caffe2::TypeMeta::Delete”
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/TensorOptions.h(526): error C2338: TensorOptions must fit in 128-bits
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/intrusive_ptr.h(58): warning C4251: “c10::intrusive_ptr_target::refcount_”: struct“std::atomic<unsigned __int64>”需要有 dll 接口由 class“c10::intrusive_ptr_target”的客户端使用
E:\program files\C#\VC\INCLUDE\xxatomic(168): note: 参见“std::atomic<unsigned __int64>”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/intrusive_ptr.h(59): warning C4251: “c10::intrusive_ptr_target::weakcount_”: struct“std::atomic<unsigned __int64>”需要有 dll 接口由 class“c10::intrusive_ptr_target”的客户端使用
E:\program files\C#\VC\INCLUDE\xxatomic(168): note: 参见“std::atomic<unsigned __int64>”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/intrusive_ptr.h(723): warning C4267: “return”: 从“size_t”转换到“uint32_t”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/intrusive_ptr.h(757): warning C4267: “return”: 从“size_t”转换到“uint32_t”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/Storage.h(181): warning C4251: “c10::Storage::storage_impl_”: class“c10::intrusive_ptr<c10::StorageImpl,c10::detail::intrusive_target_default_null_type<TTarget>>”需要有 dll 接口由 struct“c10::Storage”的客户端使用
with
[
TTarget=c10::StorageImpl
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/logging_is_not_google_glog.h(47): warning C4251: “c10::MessageLogger::stream_”: class“std::basic_stringstream<char,std::char_traits<char>,std::allocator<char>>”需要有 dll 接口由 class“c10::MessageLogger”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/TensorImpl.h(193): warning C4251: “c10::VariableVersion::version_block_”: class“std::shared_ptr<std::atomic<unsigned int>>”需要有 dll 接口由 struct“c10::VariableVersion”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/TensorImpl.h(1466): warning C4251: “c10::TensorImpl::autograd_meta_”: class“std::unique_ptr<c10::AutogradMetaInterface,std::default_delete<_Ty>>”需要有 dll 接口由 struct“c10::TensorImpl”的客户端使用
with
[
_Ty=c10::AutogradMetaInterface
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/TensorImpl.h(1476): warning C4251: “c10::TensorImpl::sizes_”: class“c10::SmallVector<int64_t,5>”需要有 dll 接口由 struct“c10::TensorImpl”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/TensorImpl.h(1477): warning C4251: “c10::TensorImpl::strides_”: class“c10::SmallVector<int64_t,5>”需要有 dll 接口由 struct“c10::TensorImpl”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/TensorImpl.h(1499): warning C4251: “c10::TensorImpl::device_opt_”: class“c10::optional<c10::Device>”需要有 dll 接口由 struct“c10::TensorImpl”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/TensorImpl.h(1018): warning C4244: “参数”: 从“float”转换到“const size_t”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/TensorImpl.h(1024): error C2039: “copy”: 不是“caffe2::TypeMeta”的成员
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/DefaultDtype.h(6): note: 参见“caffe2::TypeMeta”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/TensorImpl.h(1028): error C2039: “copy”: 不是“caffe2::TypeMeta”的成员
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/DefaultDtype.h(6): note: 参见“caffe2::TypeMeta”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/TensorImpl.h(1258): error C2039: “placementDelete”: 不是“caffe2::TypeMeta”的成员
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/DefaultDtype.h(6): note: 参见“caffe2::TypeMeta”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/TensorImpl.h(1274): error C2039: “placementNew”: 不是“caffe2::TypeMeta”的成员
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/DefaultDtype.h(6): note: 参见“caffe2::TypeMeta”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/TensorImpl.h(1287): error C2039: “placementNew”: 不是“caffe2::TypeMeta”的成员
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/DefaultDtype.h(6): note: 参见“caffe2::TypeMeta”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/TensorImpl.h(1292): error C2039: “placementDelete”: 不是“caffe2::TypeMeta”的成员
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/DefaultDtype.h(6): note: 参见“caffe2::TypeMeta”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/TensorImpl.h(1295): error C3536: “dtor”: 初始化之前无法使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/TensorImpl.h(1295): error C2664: “c10::DataPtr c10::PlacementDeleteContext::makeDataPtr(c10::DataPtr &&,c10::PlacementDtor,size_t,c10::Device)”: 无法将参数 2 从“int”转换为“c10::PlacementDtor”
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/TensorImpl.h(1295): note: 从整型转换为指针类型要求 reinterpret_cast、C 样式转换或函数样式转换
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/TensorImpl.h(1296): error C2039: “placementNew”: 不是“caffe2::TypeMeta”的成员
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/DefaultDtype.h(6): note: 参见“caffe2::TypeMeta”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/TensorImpl.h(1416): warning C4244: “初始化 ”: 从“int64_t”转换到“int”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/TensorImpl.h(1584): error C2338: You changed the size of TensorImpl on 64-bit arch.See Note [TensorImpl size constraints] on how to proceed.
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/LegacyTypeDispatch.h(38): error C2071: “at::LegacyTypeDeleter::TypeDeleterFun”: 非法的存储类
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/LegacyTypeDispatch.h(39): error C2327: “at::LegacyTypeDeleter::TypeDeleterFun”: 不是类型名称、静态或枚举数
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/LegacyTypeDispatch.h(39): error C2143: 语法错误: 缺少“;”(在“*”的前面)
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/LegacyTypeDispatch.h(39): error C4430: 缺少类型说明符 - 假定为 int。注意: C++ 不支持默认 int
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/LegacyTypeDispatch.h(39): error C2238: 意外的标记位于“;”之前
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/LegacyTypeDispatch.h(41): error C2327: “at::LegacyTypeDeleter::TypeDeleterFun”: 不是类型名称、静态或枚举数
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/LegacyTypeDispatch.h(41): error C2061: 语法错误: 标识符“TypeDeleterFun”
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/LegacyTypeDispatch.h(41): error C2535: “at::LegacyTypeDeleter::LegacyTypeDeleter(void)”: 已经定义或声明成员函数
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/LegacyTypeDispatch.h(40): note: 参见“at::LegacyTypeDeleter::LegacyTypeDeleter”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/LegacyTypeDispatch.h(41): error C2065: “fn”: 未声明的标识符
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/LegacyTypeDispatch.h(41): error C2614: “at::LegacyTypeDeleter”: 非法的成员初始化:“fn_”不是基或成员
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/LegacyTypeDispatch.h(43): error C2065: “fn_”: 未声明的标识符
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/LegacyTypeDispatch.h(44): error C2065: “fn_”: 未声明的标识符
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/LegacyTypeDispatch.h(137): warning C4251: “at::LegacyTypeDispatch::type_registry”: class“std::unique_ptr<at::Type,at::LegacyTypeDeleter>”需要有 dll 接口由 class“at::LegacyTypeDispatch”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/DeprecatedTypePropertiesRegistry.h(27): warning C4251: “at::DeprecatedTypePropertiesRegistry::registry”: class“std::unique_ptr<at::DeprecatedTypeProperties,std::default_delete<_Ty>>”需要有 dll 接口由 class“at::DeprecatedTypePropertiesRegistry”的客户端使用
with
[
_Ty=at::DeprecatedTypeProperties
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/Tensor.h(773): warning C4251: “at::Tensor::impl_”: class“c10::intrusive_ptr<c10::TensorImpl,c10::UndefinedTensorImpl>”需要有 dll 接口由 class“at::Tensor”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/Tensor.h(774): warning C4522: “at::Tensor ”: 指定了多个赋值运算符
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/Tensor.h(801): warning C4251: “at::WeakTensor::weak_impl_”: class“c10::weak_intrusive_ptr<TTarget,NullType>”需要有 dll 接口由 struct“at::WeakTensor”的客户端 使用
with
[
TTarget=c10::TensorImpl,
NullType=c10::UndefinedTensorImpl
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/LegacyTHDispatch.h(49): error C2071: “at::LegacyTHDispatcherDeleter::LegacyTHDispatcherDeleterFun”: 非法的存储类
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/LegacyTHDispatch.h(50): error C2327: “at::LegacyTHDispatcherDeleter::LegacyTHDispatcherDeleterFun”: 不是类型名称、静态或枚举数
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/LegacyTHDispatch.h(50): error C2143: 语法错误: 缺少“;”(在“*”的前面)
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/LegacyTHDispatch.h(50): error C4430: 缺少类型说 明符 - 假定为 int。注意: C++ 不支持默认 int
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/LegacyTHDispatch.h(50): error C2238: 意外的标记 位于“;”之前
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/LegacyTHDispatch.h(52): error C2327: “at::LegacyTHDispatcherDeleter::LegacyTHDispatcherDeleterFun”: 不是类型名称、静态或枚举数
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/LegacyTHDispatch.h(52): error C2061: 语法错误: 标识符“LegacyTHDispatcherDeleterFun”
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/LegacyTHDispatch.h(52): error C2535: “at::LegacyTHDispatcherDeleter::LegacyTHDispatcherDeleter(void)”: 已经定义或声明成员函数
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/LegacyTHDispatch.h(51): note: 参见“at::LegacyTHDispatcherDeleter::LegacyTHDispatcherDeleter”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/LegacyTHDispatch.h(52): error C2065: “fn”: 未 声明的标识符
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/LegacyTHDispatch.h(52): error C2614: “at::LegacyTHDispatcherDeleter”: 非法的成员初始化:“fn_”不是基或成员
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/LegacyTHDispatch.h(54): error C2065: “fn_”: 未声明的标识符
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/LegacyTHDispatch.h(55): error C2065: “fn_”: 未声明的标识符
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/LegacyTHDispatch.h(122): warning C4251: “at::LegacyTHDispatch::dispatcher_registry”: class“std::unique_ptr<at::LegacyTHDispatcher,at::LegacyTHDispatcherDeleter>”需 要有 dll 接口由 class“at::LegacyTHDispatch”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/Stream.h(126): warning C4244: “参数”: 从“unsigned __int64”转换到“c10::DeviceIndex”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/Stream.h(126): warning C4244: “参数”: 从“unsigned __int64”转换到“c10::StreamId”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/impl/DeviceGuardImplInterface.h(137): warning C4800: “const c10::impl::DeviceGuardImplInterface *”: 将值强制为布尔值“true”或“false”(性能警告)
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/Context.h(134): warning C4251: “at::Context::generator_registry”: class“std::unique_ptr<at::Generator,std::default_delete<_Ty>>”需要有 dll 接口由 class“at::Context”的客户端使用
with
[
_Ty=at::Generator
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/Context.h(151): warning C4251: “at::Context::thc_init”: struct“std::once_flag”需要有 dll 接口由 class“at::Context”的客户端使用
E:\program files\C#\VC\INCLUDE\mutex(397): note: 参见“std::once_flag”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/Context.h(152): warning C4251: “at::Context::thh_init”: struct“std::once_flag”需要有 dll 接口由 class“at::Context”的客户端使用
E:\program files\C#\VC\INCLUDE\mutex(397): note: 参见“std::once_flag”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/Context.h(153): warning C4251: “at::Context::complex_init_”: struct“std::once_flag”需要有 dll 接口由 class“at::Context”的客户端使用
E:\program files\C#\VC\INCLUDE\mutex(397): note: 参见“std::once_flag”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/Context.h(157): warning C4251: “at::Context::next_id”: struct“std::atomic<unsigned __int64>”需要有 dll 接口由 class“at::Context”的客户端使用
E:\program files\C#\VC\INCLUDE\xxatomic(168): note: 参见“std::atomic<unsigned __int64>”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/Context.h(158): warning C4251: “at::Context::thc_state”: class“std::unique_ptr<THCState,void (__cdecl *)(THCState *)>”需要有 dll 接口由 class“at::Context”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/Context.h(159): warning C4251: “at::Context::thh_state”: class“std::unique_ptr<THHState,void (__cdecl *)(THHState *)>”需要有 dll 接口由 class“at::Context”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/Context.h(52): error C2440: “<function-style-cast>”: 无法从“at::Context::registerType::<lambda_1fc99ff75cd149d173424b282353a33b>”转换为“at::LegacyTypeDeleter”
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/Context.h(52): note: 无构造函数可以接受源类型， 或构造函数重载决策不明确
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/Context.h(57): error C2440: “<function-style-cast>”: 无法从“at::Context::registerLegacyTHDispatcher::<lambda_b06be8ac5025571199e3700984197321>”转换为“at::LegacyTHDispatcherDeleter”
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/Context.h(57): note: 无构造函数可以接受源类型， 或构造函数重载决策不明确
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/TensorGeometry.h(56): warning C4251: “at::TensorGeometry::sizes_”: class“std::vector<int64_t,std::allocator<_Ty>>”需要有 dll 接口由 struct“at::TensorGeometry”的客户端使用
with
[
_Ty=int64_t
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/TensorGeometry.h(57): warning C4251: “at::TensorGeometry::strides_”: class“std::vector<int64_t,std::allocator<_Ty>>”需要有 dll 接口由 struct“at::TensorGeometry”的客户端使用
with
[
_Ty=int64_t
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/utils/hash.h(70): error C2995: “unknown-type torch::_hash_detail::dispatch_hash(const T &)”: 函数模板已经定义
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/utils/hash.h(57): note: 参见“torch::_hash_detail::dispatch_hash”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/autograd/variable.h(331): warning C4251: “torch::autograd::Variable::AutogradMeta::name”: class“std::basic_string<char,std::char_traits<char>,std::allocator<char>>”需要有 dll 接口由 struct“torch::autograd::Variable::AutogradMeta”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/autograd/variable.h(334): warning C4251: “torch::autograd::Variable::AutogradMeta::grad_fn_”: class“std::shared_ptr<torch::autograd::Function>”需要有 dll 接 口由 struct“torch::autograd::Variable::AutogradMeta”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/autograd/variable.h(335): warning C4251: “torch::autograd::Variable::AutogradMeta::grad_accumulator_”: class“std::weak_ptr<torch::autograd::Function>”需要有 dll 接口由 struct“torch::autograd::Variable::AutogradMeta”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/autograd/variable.h(337): warning C4251: “torch::autograd::Variable::AutogradMeta::hooks_”: class“std::vector<std::shared_ptr<torch::autograd::FunctionPreHook>,std::allocator<_Ty>>”需要有 dll 接口由 struct“torch::autograd::Variable::AutogradMeta”的客户端使用
with
[
_Ty=std::shared_ptr<torch::autograd::FunctionPreHook>
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/autograd/variable.h(353): warning C4251: “torch::autograd::Variable::AutogradMeta::mutex_”: class“std::mutex”需要有 dll 接口由 struct“torch::autograd::Variable::AutogradMeta”的客户端使用
E:\program files\C#\VC\INCLUDE\mutex(76): note: 参见“std::mutex”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/blob.h(191): error C2039: “deleteFn”: 不 是“caffe2::TypeMeta”的成员
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/DefaultDtype.h(6): note: 参见“caffe2::TypeMeta”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(27): warning C4251: “c10::ivalue::ConstantString::str_”: class“std::basic_string<char,std::char_traits<char>,std::allocator<char>>”需要有 dll 接口由 struct“c10::ivalue::ConstantString”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(46): warning C4251: “c10::ivalue::List<Elem>::elements_”: class“std::vector<T,std::allocator<_Ty>>”需要有 dll 接口由 struct“c10::ivalue::List<Elem>”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(72): note: 参见对正在编译的类 模板 实例化“c10::ivalue::List<Elem>”的引用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(46): warning C4251: “c10::ivalue::List<c10::IValue>::elements_”: class“std::vector<Elem,std::allocator<_Ty>>”需要有 dll 接口由 struct“c10::ivalue::List<c10::IValue>”的客户端使用
with
[
Elem=c10::IValue,
_Ty=c10::IValue
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(87): note: 参见对正在编译的类 模板 实例化“c10::ivalue::List<c10::IValue>”的引用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(560): warning C4275: 非 dll 接口 class“std::exception”用作 dll 接口 struct“c10::ivalue::Future::FutureError”的基
E:\program files\C#\VC\INCLUDE\vcruntime_exception.h(43): note: 参见“std::exception”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(560): note: 参见“c10::ivalue::Future::FutureError”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(570): warning C4251: “c10::ivalue::Future::FutureError::error_msg”: class“std::basic_string<char,std::char_traits<char>,std::allocator<char>>”需要有 dll 接口由 struct“c10::ivalue::Future::FutureError”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(676): warning C4251: “c10::ivalue::Future::mutex_”: class“std::mutex”需要有 dll 接口由 struct“c10::ivalue::Future”的客户端使用
E:\program files\C#\VC\INCLUDE\mutex(76): note: 参见“std::mutex”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(678): warning C4251: “c10::ivalue::Future::completed_”: struct“std::atomic<bool>”需要有 dll 接口由 struct“c10::ivalue::Future”的客户端使用
E:\program files\C#\VC\INCLUDE\xxatomic(168): note: 参见“std::atomic<bool>”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(679): warning C4251: “c10::ivalue::Future::callbacks”: class“std::vector<std::function<void (void)>,std::allocator<_Ty>>”需要有 dll 接口由 struct“c10::ivalue::Future”的客户端使用
with
[
_Ty=std::function<void (void)>
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(722): warning C4251: “c10::ivalue::Object::type_”: class“std::shared_ptr<c10::ClassType>”需要有 dll 接口由 struct“c10::ivalue::Object”的客���端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(723): warning C4251: “c10::ivalue::Object::slots_”: class“std::vector<Elem,std::allocator<_Ty>>”需要有 dll 接口由 struct“c10::ivalue::Object”的客户 端使用
with
[
Elem=c10::IValue,
_Ty=c10::IValue
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(728): warning C4251: “c10::ivalue::GenericDict::elements_”: class“std::unordered_map<c10::IValue,c10::IValue,c10::ivalue::DictHash,c10::ivalue::DictEqualTo,std::allocator<std::pair<const _Kty,_Ty>>>”需要有 dll 接口由 struct“c10::ivalue::GenericDict”的客户端使用
with
[
_Kty=c10::IValue,
_Ty=c10::IValue
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(781): warning C4244: “return”: 从“double”转换到“float”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(783): warning C4244: “return”: 从“int64_t”转换到“unsigned char”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(784): warning C4244: “return”: 从“int64_t”转换到“signed char”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(785): warning C4244: “return”: 从“int64_t”转换到“unsigned short”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(786): warning C4244: “return”: 从“int64_t”转换到“short”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(787): warning C4244: “return”: 从“int64_t”转换到“int”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(788): warning C4244: “return”: 从“int64_t”转换到“uint32_t”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(790): warning C4244: “return”: 从“int64_t”转换到“c10::detail::_guarded_unsigned_long”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(46): warning C4251: “c10::ivalue::List<int64_t>::elements_”: class“std::vector<int64_t,std::allocator<_Ty>>”需要有 dll 接口由 struct“c10::ivalue::List<int64_t>”的客户端使用
with
[
_Ty=int64_t
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(859): note: 参见对正在编译的类 模 板 实例化“c10::ivalue::List<int64_t>”的引用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(46): warning C4251: “c10::ivalue::List<double>::elements_”: class“std::vector<T,std::allocator<_Ty>>”需要有 dll 接口由 struct“c10::ivalue::List<double>”的客户端使用
with
[
T=double,
_Ty=double
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(873): note: 参见对正在编译的类 模 板 实例化“c10::ivalue::List<double>”的引用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(46): warning C4251: “c10::ivalue::List<bool>::elements_”: class“std::vector<bool,std::allocator<_Ty>>”需要有 dll 接口由 struct“c10::ivalue::List<bool>”的客户端使用
with
[
_Ty=bool
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(880): note: 参见对正在编译的类 模 板 实例化“c10::ivalue::List<bool>”的引用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(46): warning C4251: “c10::ivalue::List<at::Tensor>::elements_”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 struct“c10::ivalue::List<at::Tensor>”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(887): note: 参见对正在编译的类 模 板 实例化“c10::ivalue::List<at::Tensor>”的引用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(1003): warning C4244: “参数”: 从“int64_t”转换到“const int”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/jit_type.h(66): warning C4251: “std::enable_shared_from_this<c10::Type>::_Wptr”: class“std::weak_ptr<_Ty>”需要有 dll 接口由 class“std::enable_shared_from_this<c10::Type>”的客户端使用
with
[
_Ty=c10::Type
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/jit_type.h(227): warning C4251: “c10::SingleElementType<OptionalType,c10::OptionalType>::elem”: class“std::shared_ptr<c10::Type>”需要有 dll 接口由 struct“c10::SingleElementType<OptionalType,c10::OptionalType>”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/jit_type.h(477): warning C4251: “c10::VaryingShape::size_”: class“c10::optional<size_t>”需要有 dll 接口由 struct“c10::VaryingShape”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/jit_type.h(478): warning C4251: “c10::VaryingShape::dims_”: class“std::vector<c10::optional<int64_t>,std::allocator<_Ty>>”需要有 dll 接口由 struct“c10::VaryingShape”的客户端使用
with
[
_Ty=c10::optional<int64_t>
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/jit_type.h(571): warning C4251: “c10::ProfiledTensorType::scalar_type_”: class“c10::optional<c10::ScalarType>”需要有 dll 接口由 struct“c10::ProfiledTensorType”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/jit_type.h(572): warning C4251: “c10::ProfiledTensorType::device_”: class“c10::optional<c10::Device>”需要有 dll 接口由 struct“c10::ProfiledTensorType”的客户 端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/jit_type.h(575): warning C4251: “c10::ProfiledTensorType::requires_grad_”: class“c10::optional<bool>”需要有 dll 接口由 struct“c10::ProfiledTensorType”的客户 端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/jit_type.h(533): warning C4267: “参数”: 从“size_t”转换到“int”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/jit_type.h(537): warning C4267: “参数”: 从“size_t”转换到“int”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/jit_type.h(682): warning C4251: “c10::CompleteTensorType::sizes_”: class“std::vector<int64_t,std::allocator<_Ty>>”需要有 dll 接口由 struct“c10::CompleteTensorType”的客户端使用
with
[
_Ty=int64_t
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/jit_type.h(683): warning C4251: “c10::CompleteTensorType::strides_”: class“std::vector<int64_t,std::allocator<_Ty>>”需要有 dll 接口由 struct“c10::CompleteTensorType”的客户端使用
with
[
_Ty=int64_t
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/jit_type.h(688): warning C4251: “c10::SingleElementType<ListType,c10::ListType>::elem”: class“std::shared_ptr<c10::Type>”需要有 dll 接口由 struct“c10::SingleElementType<ListType,c10::ListType>”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/jit_type.h(801): warning C4251: “c10::DictType::types”: class“std::vector<c10::TypePtr,std::allocator<_Ty>>”需要有 dll 接口由 struct“c10::DictType”的客户端使用
with
[
_Ty=c10::TypePtr
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/jit_type.h(808): warning C4251: “c10::SingleElementType<FutureType,c10::FutureType>::elem”: class“std::shared_ptr<c10::Type>”需要有 dll 接口由 struct“c10::SingleElementType<FutureType,c10::FutureType>”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/jit_type.h(941): warning C4251: “c10::TupleType::elements_”: class“std::vector<c10::TypePtr,std::allocator<_Ty>>”需要有 dll 接口由 struct“c10::TupleType”的客户端使用
with
[
_Ty=c10::TypePtr
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/jit_type.h(943): warning C4251: “c10::TupleType::names_”: class“c10::optional<std::vector<std::string,std::allocator<_Ty>>>”需要有 dll 接口由 struct“c10::TupleType”的客户端使用
with
[
_Ty=std::string
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/jit_type.h(1450): warning C4251: “c10::ClassType::qualifiedName_”: class“std::basic_string<char,std::char_traits<char>,std::allocator<char>>”需要有 dll 接口由 struct“c10::ClassType”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/jit_type.h(1454): warning C4251: “c10::ClassType::qualifier_”: class“std::basic_string<char,std::char_traits<char>,std::allocator<char>>”需要有 dll 接口由 struct“c10::ClassType”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/jit_type.h(1456): warning C4251: “c10::ClassType::basename_”: class“std::basic_string<char,std::char_traits<char>,std::allocator<char>>”需要有 dll 接口由 struct“c10::ClassType”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/jit_type.h(1464): warning C4251: “c10::ClassType::attributeNames_”: class“std::vector<std::string,std::allocator<_Ty>>”需要有 dll 接口由 struct“c10::ClassType”的客户端使用
with
[
_Ty=std::string
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/jit_type.h(1465): warning C4251: “c10::ClassType::attributeTypes_”: class“std::vector<c10::TypePtr,std::allocator<_Ty>>”需要有 dll 接口由 struct“c10::ClassType”的客户端使用
with
[
_Ty=c10::TypePtr
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/jit_type.h(1467): warning C4251: “c10::ClassType::compilation_unit_”: class“std::shared_ptr<torch::jit::script::CompilationUnit>”需要有 dll 接口由 struct“c10::ClassType”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/scope.h(22): warning C4251: “torch::jit::Scope::parent_”: class“c10::intrusive_ptr<torch::jit::Scope,c10::detail::intrusive_target_default_null_type<TTarget>>”需要有 dll 接口由 struct“torch::jit::Scope”的客户端使用
with
[
TTarget=torch::jit::Scope
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/constants.h(20): warning C4275: 非 dll 接口 class“std::runtime_error”用作 dll 接口 struct“torch::jit::constant_not_supported_error”的基
E:\program files\C#\VC\INCLUDE\stdexcept(166): note: 参见“std::runtime_error”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/constants.h(20): note: 参见“torch::jit::constant_not_supported_error”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/attributes.h(87): warning C4275: 非 dll 接口 struct“torch::jit::AttributeValue”用作 dll 接口 struct“torch::jit::GraphAttr”的基
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/attributes.h(25): note: 参见“torch::jit::AttributeValue”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/attributes.h(87): note: 参见“torch::jit::GraphAttr”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/attributes.h(101): warning C4251: “torch::jit::GraphAttr::value_”: class“std::shared_ptr<torch::jit::Graph>”需要有 dll 接口由 struct“torch::jit::GraphAttr”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/attributes.h(104): warning C4275: 非 dll 接口 struct“torch::jit::AttributeValue”用作 dll 接口 struct“torch::jit::GraphsAttr”的基
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/attributes.h(25): note: 参见“torch::jit::AttributeValue”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/attributes.h(104): note: 参见“torch::jit::GraphsAttr”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/attributes.h(118): warning C4251: “torch::jit::GraphsAttr::value_”: class“std::vector<std::shared_ptr<torch::jit::Graph>,std::allocator<_Ty>>”需要有 dll 接口由 struct“torch::jit::GraphsAttr”的客户端使用
with
[
_Ty=std::shared_ptr<torch::jit::Graph>
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/ir.h(246): warning C4251: “torch::jit::Node::inputs_”: class“std::vector<torch::jit::Value *,std::allocator<_Ty>>”需要有 dll 接口由 struct“torch::jit::Node”的客户端使用
with
[
_Ty=torch::jit::Value *
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/ir.h(247): warning C4251: “torch::jit::Node::outputs_”: class“std::vector<torch::jit::Value *,std::allocator<_Ty>>”需要有 dll 接口由 struct“torch::jit::Node”的客户端使用
with
[
_Ty=torch::jit::Value *
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/ir.h(249): warning C4251: “torch::jit::Node::blocks_”: class“std::vector<torch::jit::Block *,std::allocator<_Ty>>”需要有 dll 接口由 struct“torch::jit::Node”的客户端使用
with
[
_Ty=torch::jit::Block *
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/ir.h(252): warning C4251: “torch::jit::Node::source_location_”: class“std::shared_ptr<torch::jit::SourceLocation>”需要有 dll 接口由 struct“torch::jit::Node”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/ir.h(253): warning C4251: “torch::jit::Node::scope_”: class“c10::intrusive_ptr<torch::jit::Scope,c10::detail::intrusive_target_default_null_type<TTarget>> ”需要有 dll 接口由 struct“torch::jit::Node”的客户端使用
with
[
TTarget=torch::jit::Scope
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/ir.h(756): warning C4251: “torch::jit::Node::values_”: class“std::vector<torch::jit::Node::AVPtr,std::allocator<_Ty>>”需要有 dll 接口由 struct“torch::jit::Node”的客户端使用
with
[
_Ty=torch::jit::Node::AVPtr
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/ir.h(1243): error C4579: 'torch::jit::ProfileOp::Kind': in-class initialization for type 'const c10::Symbol' is not yet implemented; static member will remain uninitialized at runtime but use in constant-expressions is supported
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/tracing_state.h(30): warning C4251: “std::enable_shared_from_this<torch::jit::tracer::TracingState>::_Wptr”: class“std::weak_ptr<_Ty>”需要有 dll 接口由 class“std::enable_shared_from_this<torch::jit::tracer::TracingState>”的客户端使用
with
[
_Ty=torch::jit::tracer::TracingState
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/tracing_state.h(58): warning C4251: “torch::jit::tracer::TracingState::env_stack”: class“std::vector<torch::jit::tracer::TracingState::TracingEnvironmentFrame,std::allocator<_Ty>>”需要有 dll 接口由 struct“torch::jit::tracer::TracingState”的客户端使用
with
[
_Ty=torch::jit::tracer::TracingState::TracingEnvironmentFrame
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/tracing_state.h(59): warning C4251: “torch::jit::tracer::TracingState::graph”: class“std::shared_ptr<torch::jit::Graph>”需要有 dll 接口由 struct“torch::jit::tracer::TracingState”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/tracing_state.h(63): warning C4251: “torch::jit::tracer::TracingState::lookup_var_name_fn”: class“std::function<std::string (const torch::autograd::Variable &)>”需要有 dll 接口由 struct“torch::jit::tracer::TracingState”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/tracing_state.h(159): warning C4251: “torch::jit::tracer::NoWarn::state”: class“std::shared_ptr<_Ty>”需要有 dll 接口由 struct“torch::jit::tracer::NoWarn”的客户端使用
with
[
_Ty=torch::jit::tracer::TracingState
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/tracer.h(171): warning C4273: “torch::jit::tracer::addInputs”: dll 链接不一致
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/tracer.h(154): note: 参见“addInputs”的前一个定义
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/tracer.h(178): warning C4273: “torch::jit::tracer::addInputs”: dll 链接不一致
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/tracer.h(160): note: 参见“addInputs”的前一个定义
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/data/samplers/distributed.h(96): warning C4251: “torch::data::samplers::DistributedRandomSampler::all_indices_”: class“std::vector<T,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::data::samplers::DistributedRandomSampler”的客户端使用
with
[
T=size_t,
_Ty=size_t
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/data/samplers/distributed.h(129): warning C4251: “torch::data::samplers::DistributedSequentialSampler::all_indices_”: class“std::vector<T,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::data::samplers::DistributedSequentialSampler”的客户端使用
with
[
T=size_t,
_Ty=size_t
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/serialize/input-archive.h(89): warning C4251: “torch::serialize::InputArchive::module_”: class“std::shared_ptr<torch::jit::script::Module>” 需要有 dll 接口由 class“torch::serialize::InputArchive”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/serialize/output-archive.h(66): warning C4251: “torch::serialize::OutputArchive::module_”: class“std::shared_ptr<torch::jit::script::Module> ”需要有 dll 接口由 class“torch::serialize::OutputArchive”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/lexer.h(356): warning C4251: “torch::jit::script::SharedParserData::head”: class“std::unique_ptr<torch::jit::script::TokenTrie,std::default_delete<_Ty>>”需要有 dll 接口由 struct“torch::jit::script::SharedParserData”的客户端使用
with
[
_Ty=torch::jit::script::TokenTrie
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/lexer.h(382): warning C4267: “参数”: 从“size_t”转换到“int”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/lexer.h(458): warning C4267: “初始化”: 从“size_t”转换到“int”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/argument_spec.h(168): warning C4251: “torch::jit::ArgumentSpecCreator::instructions_”: class“std::vector<torch::jit::ArgumentSpecCreator::Inst,std::allocator<_Ty>>”需要有 dll 接口由 struct“torch::jit::ArgumentSpecCreator”的客户端使用
with
[
_Ty=torch::jit::ArgumentSpecCreator::Inst
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/argument_spec.h(201): warning C4267: “初始化”: 从“size_t”转换到“int32_t”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/argument_spec.h(204): warning C4267: “初始化”: 从“size_t”转换到“int32_t”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/ArrayRef.h(144): warning C4267: “初始化”: 从“size_t”转换到“const int32_t”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/argument_spec.h(209): warning C4244: “+=”: 从“int64_t”转换到“int32_t”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/argument_spec.h(229): warning C4244: “+=”: 从“int64_t”转换到“int32_t”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/argument_spec.h(293): warning C4800: “const unsigned int”: 将值强制为布尔值“true”或“false”(性能警告)
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/argument_spec.h(391): warning C4267: “参数”: 从“size_t”转换到“const int”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/interpreter.h(44): warning C4251: “torch::jit::Code::pImpl”: class“std::shared_ptr<torch::jit::CodeImpl>”需要有 dll 接口由 struct“torch::jit::Code”的客 户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/graph_executor.h(41): warning C4251: “torch::jit::GraphExecutor::pImpl”: class“std::shared_ptr<torch::jit::GraphExecutorImpl>”需要有 dll 接口由 struct“torch::jit::GraphExecutor”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/compilation_unit.h(160): warning C4251: “torch::jit::script::Function::name_”: class“std::basic_string<char,std::char_traits<char>,std::allocator<char>>”需要有 dll 接口由 struct“torch::jit::script::Function”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/compilation_unit.h(161): warning C4251: “torch::jit::script::Function::graph_”: class“std::shared_ptr<torch::jit::Graph>”需要有 dll 接口由 struct“torch::jit::script::Function”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/compilation_unit.h(166): warning C4251: “torch::jit::script::Function::executor_init_”: struct“std::once_flag”需要有 dll 接口由 struct“torch::jit::script::Function”的客户端使用
E:\program files\C#\VC\INCLUDE\mutex(397): note: 参见“std::once_flag”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/compilation_unit.h(171): warning C4251: “torch::jit::script::Function::function_creator_”: class“std::function<void (torch::jit::script::Function &)>”需要有 dll 接口由 struct“torch::jit::script::Function”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/compilation_unit.h(176): warning C4251: “torch::jit::script::Function::schema_”: class“std::unique_ptr<c10::FunctionSchema,std::default_delete<_Ty>>”需要有 dll 接口由 struct“torch::jit::script::Function”的客户端使用
with
[
_Ty=c10::FunctionSchema
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/compilation_unit.h(266): warning C4251: “torch::jit::script::CompilationUnit::functions_”: class“std::vector<std::shared_ptr<torch::jit::script::Function>,std::allocator<_Ty>>”需要有 dll 接口由 struct“torch::jit::script::CompilationUnit”的客户端使用
with
[
_Ty=std::shared_ptr<torch::jit::script::Function>
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/compilation_unit.h(268): warning C4251: “torch::jit::script::CompilationUnit::dict_”: class“std::unordered_map<std::string,size_t,std::hash<std::string>,std::equal_to<_Kty>,std::allocator<std::pair<const _Kty,_Ty>>>”需要有 dll 接口由 struct“torch::jit::script::CompilationUnit”的客户端使用
with
[
_Kty=std::string,
_Ty=size_t
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/module.h(123): warning C4251: “torch::jit::script::Method::function_”: class“std::shared_ptr<torch::jit::script::Function>”需要有 dll 接口由 struct“torch::jit::script::Method”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/module.h(127): warning C4251: “torch::jit::script::Method::initial_ivalues_”: class“std::vector<torch::jit::script::Slot,std::allocator<_Ty>>”需要有 dll 接口由 struct“torch::jit::script::Method”的客户端使用
with
[
_Ty=torch::jit::script::Slot
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/module.h(128): warning C4251: “torch::jit::script::Method::schema_”: struct“c10::FunctionSchema”需要有 dll 接口由 struct“torch::jit::script::Method”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/function_schema.h(96): note: 参见“c10::FunctionSchema”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/module.h(543): warning C4251: “torch::jit::script::Module::modules_”: class“std::vector<std::shared_ptr<torch::jit::script::Module>,std::allocator<_Ty>>”需要有 dll 接口由 struct“torch::jit::script::Module”的客户端使用
with
[
_Ty=std::shared_ptr<torch::jit::script::Module>
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/module.h(544): warning C4251: “torch::jit::script::Module::parameters_”: class“std::vector<torch::jit::script::Slot,std::allocator<_Ty>>”需要有 dll 接口由 struct“torch::jit::script::Module”的客户端使用
with
[
_Ty=torch::jit::script::Slot
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/module.h(545): warning C4251: “torch::jit::script::Module::attributes_”: class“std::vector<torch::jit::script::Slot,std::allocator<_Ty>>”需要有 dll 接口由 struct“torch::jit::script::Module”的客户端使用
with
[
_Ty=torch::jit::script::Slot
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/module.h(546): warning C4251: “torch::jit::script::Module::methods_”: class“std::vector<std::unique_ptr<torch::jit::script::Method,std::default_delete<_Ty>>,std::allocator<std::unique_ptr<_Ty,std::default_delete<_Ty>>>>”需要有 dll 接口由 struct“torch::jit::script::Module”的客户端使用
with
[
_Ty=torch::jit::script::Method
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/module.h(548): warning C4251: “torch::jit::script::Module::dict_”: class“std::unordered_map<std::string,torch::jit::script::Module::Entry,std::hash<std::string>,std::equal_to<_Kty>,std::allocator<std::pair<const _Kty,_Ty>>>”需要有 dll 接口由 struct“torch::jit::script::Module”的客户端使用
with
[
_Kty=std::string,
_Ty=torch::jit::script::Module::Entry
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/module.h(549): warning C4251: “torch::jit::script::Module::name_”: class“std::basic_string<char,std::char_traits<char>,std::allocator<char>>”需要 有 dll 接口由 struct“torch::jit::script::Module”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/module.h(551): warning C4251: “torch::jit::script::Module::module_value_”: class“c10::intrusive_ptr<c10::ivalue::Object,c10::detail::intrusive_target_default_null_type<TTarget>>”需要有 dll 接口由 struct“torch::jit::script::Module”的客户端使用
with
[
TTarget=c10::ivalue::Object
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/module.h(566): warning C4251: “torch::jit::script::Module::create_method_guard_”: class“std::recursive_mutex”需要有 dll 接口由 struct“torch::jit::script::Module”的客户端使用
E:\program files\C#\VC\INCLUDE\mutex(89): note: 参见“std::recursive_mutex”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/sugared_value.h(25): warning C4251: “std::enable_shared_from_this<torch::jit::script::SugaredValue>::_Wptr”: class“std::weak_ptr<_Ty>”需要有 dll 接口由 class“std::enable_shared_from_this<torch::jit::script::SugaredValue>”的客户端使用
with
[
_Ty=torch::jit::script::SugaredValue
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/sugared_value.h(156): warning C4251: “torch::jit::script::BuiltinFunction::self”: class“c10::optional<torch::jit::NamedValue>”需要有 dll 接口由 struct“torch::jit::script::BuiltinFunction”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/sugared_value.h(185): warning C4251: “torch::jit::script::BuiltinModule::name”: class“std::basic_string<char,std::char_traits<char>,std::allocator<char>>”需要有 dll 接口由 struct“torch::jit::script::BuiltinModule”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/sugared_value.h(188): warning C4251: “torch::jit::script::BuiltinModule::version”: class“c10::optional<int64_t>”需要有 dll 接口由 struct“torch::jit::script::BuiltinModule”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/sugared_value.h(214): warning C4251: “torch::jit::script::ClassValue::type_”: class“std::shared_ptr<c10::ClassType>”需要有 dll 接口由 struct“torch::jit::script::ClassValue”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/sugared_value.h(282): warning C4251: “torch::jit::script::CastValue::type_”: class“std::shared_ptr<c10::Type>”需要有 dll 接口由 struct“torch::jit::script::CastValue”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/sugared_value.h(338): warning C4251: “torch::jit::script::ClassNewMethod::type_”: class“std::shared_ptr<c10::ClassType>”需要有 dll 接口由 struct“torch::jit::script::ClassNewMethod”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/module.h(62): warning C4251: “std::enable_shared_from_this<torch::nn::Module>::_Wptr”: class“std::weak_ptr<_Ty>”需要有 dll 接口由 class“std::enable_shared_from_this<torch::nn::Module>”的客户端使用
with
[
_Ty=torch::nn::Module
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/module.h(514): warning C4251: “torch::nn::Module::parameters_”: class“torch::OrderedDict<std::string,at::Tensor>”需要有 dll 接口由 class “torch::nn::Module”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/module.h(517): warning C4251: “torch::nn::Module::buffers_”: class“torch::OrderedDict<std::string,at::Tensor>”需要有 dll 接口由 class“torch::nn::Module”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/module.h(520): warning C4251: “torch::nn::Module::children_”: class“torch::OrderedDict<std::string,std::shared_ptr<_Ty>>”需要有 dll 接口 由 class“torch::nn::Module”的客户端使用
with
[
_Ty=torch::nn::Module
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/module.h(523): warning C4251: “torch::nn::Module::name_”: class“c10::optional<std::string>”需要有 dll 接口由 class“torch::nn::Module”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/modules/conv.h(111): warning C4251: “torch::nn::ConvImpl<0x01,torch::nn::Conv1dImpl>::options”: struct“torch::nn::ConvOptions<0x01>”需要 有 dll 接口由 class“torch::nn::ConvImpl<0x01,torch::nn::Conv1dImpl>”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/modules/conv.h(131): warning C4251: “torch::nn::ConvImpl<0x02,torch::nn::Conv2dImpl>::options”: struct“torch::nn::ConvOptions<0x02>”需要 有 dll 接口由 class“torch::nn::ConvImpl<0x02,torch::nn::Conv2dImpl>”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/modules/conv.h(151): warning C4251: “torch::nn::ConvImpl<0x03,torch::nn::Conv3dImpl>::options”: struct“torch::nn::ConvOptions<0x03>”需要 有 dll 接口由 class“torch::nn::ConvImpl<0x03,torch::nn::Conv3dImpl>”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/modules/functional.h(94): warning C4251: “torch::nn::FunctionalImpl::function_”: class“std::function<at::Tensor (at::Tensor)>”需要有 dll 接口由 class“torch::nn::FunctionalImpl”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/modules/rnn.h(177): warning C4251: “torch::nn::detail::RNNImplBase<torch::nn::RNNImpl>::w_ih”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::nn::detail::RNNImplBase<torch::nn::RNNImpl>”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/modules/rnn.h(177): warning C4251: “torch::nn::detail::RNNImplBase<torch::nn::RNNImpl>::w_hh”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::nn::detail::RNNImplBase<torch::nn::RNNImpl>”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/modules/rnn.h(177): warning C4251: “torch::nn::detail::RNNImplBase<torch::nn::RNNImpl>::b_ih”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::nn::detail::RNNImplBase<torch::nn::RNNImpl>”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/modules/rnn.h(177): warning C4251: “torch::nn::detail::RNNImplBase<torch::nn::RNNImpl>::b_hh”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::nn::detail::RNNImplBase<torch::nn::RNNImpl>”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/modules/rnn.h(177): warning C4251: “torch::nn::detail::RNNImplBase<torch::nn::RNNImpl>::cudnn_mode_”: class“c10::optional<torch::nn::detail::RNNImplBase<torch::nn::RNNImpl>::CuDNNMode>”需要有 dll 接口由 class“torch::nn::detail::RNNImplBase<torch::nn::RNNImpl>”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/modules/rnn.h(177): warning C4251: “torch::nn::detail::RNNImplBase<torch::nn::RNNImpl>::flat_weights_”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::nn::detail::RNNImplBase<torch::nn::RNNImpl>”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/modules/rnn.h(208): warning C4251: “torch::nn::detail::RNNImplBase<torch::nn::LSTMImpl>::w_ih”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::nn::detail::RNNImplBase<torch::nn::LSTMImpl>”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/modules/rnn.h(208): warning C4251: “torch::nn::detail::RNNImplBase<torch::nn::LSTMImpl>::w_hh”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::nn::detail::RNNImplBase<torch::nn::LSTMImpl>”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/modules/rnn.h(208): warning C4251: “torch::nn::detail::RNNImplBase<torch::nn::LSTMImpl>::b_ih”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::nn::detail::RNNImplBase<torch::nn::LSTMImpl>”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/modules/rnn.h(208): warning C4251: “torch::nn::detail::RNNImplBase<torch::nn::LSTMImpl>::b_hh”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::nn::detail::RNNImplBase<torch::nn::LSTMImpl>”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/modules/rnn.h(208): warning C4251: “torch::nn::detail::RNNImplBase<torch::nn::LSTMImpl>::cudnn_mode_”: class“c10::optional<torch::nn::detail::RNNImplBase<torch::nn::LSTMImpl>::CuDNNMode>”需要有 dll 接口由 class“torch::nn::detail::RNNImplBase<torch::nn::LSTMImpl>”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/modules/rnn.h(208): warning C4251: “torch::nn::detail::RNNImplBase<torch::nn::LSTMImpl>::flat_weights_”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::nn::detail::RNNImplBase<torch::nn::LSTMImpl>”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/modules/rnn.h(234): warning C4251: “torch::nn::detail::RNNImplBase<torch::nn::GRUImpl>::w_ih”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::nn::detail::RNNImplBase<torch::nn::GRUImpl>”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/modules/rnn.h(234): warning C4251: “torch::nn::detail::RNNImplBase<torch::nn::GRUImpl>::w_hh”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::nn::detail::RNNImplBase<torch::nn::GRUImpl>”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/modules/rnn.h(234): warning C4251: “torch::nn::detail::RNNImplBase<torch::nn::GRUImpl>::b_ih”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::nn::detail::RNNImplBase<torch::nn::GRUImpl>”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/modules/rnn.h(234): warning C4251: “torch::nn::detail::RNNImplBase<torch::nn::GRUImpl>::b_hh”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::nn::detail::RNNImplBase<torch::nn::GRUImpl>”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/modules/rnn.h(234): warning C4251: “torch::nn::detail::RNNImplBase<torch::nn::GRUImpl>::cudnn_mode_”: class“c10::optional<torch::nn::detail::RNNImplBase<torch::nn::GRUImpl>::CuDNNMode>”需要有 dll 接口由 class“torch::nn::detail::RNNImplBase<torch::nn::GRUImpl>”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/modules/rnn.h(234): warning C4251: “torch::nn::detail::RNNImplBase<torch::nn::GRUImpl>::flat_weights_”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::nn::detail::RNNImplBase<torch::nn::GRUImpl>”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/modules/sequential.h(354): error C2580: “torch::nn::SequentialImpl::SequentialImpl(void)”: 不允许使用多个版本的有默认特殊成员函数
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/optimizer.h(83): warning C4251: “torch::optim::detail::OptimizerBase::parameters_”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::optim::detail::OptimizerBase”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/adagrad.h(28): warning C4275: 非 dll 接口 class“torch::optim::Optimizer”用作 dll 接口 class“torch::optim::Adagrad”的基
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/optimizer.h(100): note: 参见“torch::optim::Optimizer”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/adagrad.h(28): note: 参见“torch::optim::Adagrad”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/adagrad.h(44): warning C4251: “torch::optim::Adagrad::sum_buffers”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口 由 class“torch::optim::Adagrad”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/adagrad.h(45): warning C4251: “torch::optim::Adagrad::step_buffers”: class“std::vector<int64_t,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::optim::Adagrad”的客户端使用
with
[
_Ty=int64_t
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/adam.h(31): warning C4275: 非 dll 接口 class“torch::optim::Optimizer”用作 dll 接口 class“torch::optim::Adam”的基
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/optimizer.h(100): note: 参见“torch::optim::Optimizer”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/adam.h(31): note: 参见“torch::optim::Adam”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/adam.h(45): warning C4251: “torch::optim::Adam::step_buffers”: class“std::vector<int64_t,std::allocator<_Ty>>”需要有 dll 接口由 class “torch::optim::Adam”的客户端使用
with
[
_Ty=int64_t
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/adam.h(46): warning C4251: “torch::optim::Adam::exp_average_buffers”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接 口由 class“torch::optim::Adam”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/adam.h(47): warning C4251: “torch::optim::Adam::exp_average_sq_buffers”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::optim::Adam”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/adam.h(48): warning C4251: “torch::optim::Adam::max_exp_average_sq_buffers”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::optim::Adam”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/lbfgs.h(22): warning C4305: “初始化”: 从“double”到“float”截断
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/lbfgs.h(23): warning C4305: “初始化”: 从“double”到“float”截断
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/lbfgs.h(27): warning C4275: 非 dll 接口 class“torch::optim::LossClosureOptimizer”用作 dll 接口 class“torch::optim::LBFGS”的基
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/optimizer.h(110): note: 参见“torch::optim::LossClosureOptimizer”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/lbfgs.h(27): note: 参见“torch::optim::LBFGS”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/lbfgs.h(48): warning C4251: “torch::optim::LBFGS::ro”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::optim::LBFGS”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/lbfgs.h(49): warning C4251: “torch::optim::LBFGS::al”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::optim::LBFGS”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/lbfgs.h(50): warning C4251: “torch::optim::LBFGS::old_dirs”: class“std::deque<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class “torch::optim::LBFGS”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/lbfgs.h(51): warning C4251: “torch::optim::LBFGS::old_stps”: class“std::deque<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class “torch::optim::LBFGS”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/rmsprop.h(34): warning C4275: 非 dll 接口 class“torch::optim::Optimizer”用作 dll 接口 class“torch::optim::RMSprop”的基
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/optimizer.h(100): note: 参见“torch::optim::Optimizer”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/rmsprop.h(34): note: 参见“torch::optim::RMSprop”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/rmsprop.h(50): warning C4251: “torch::optim::RMSprop::square_average_buffers”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要 有 dll 接口由 class“torch::optim::RMSprop”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/rmsprop.h(51): warning C4251: “torch::optim::RMSprop::momentum_buffers”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::optim::RMSprop”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/rmsprop.h(52): warning C4251: “torch::optim::RMSprop::grad_average_buffers”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::optim::RMSprop”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/sgd.h(31): warning C4275: 非 dll 接口 class“torch::optim::Optimizer”用作 dll 接口 class“torch::optim::SGD”的基
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/optimizer.h(100): note: 参见“torch::optim::Optimizer”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/sgd.h(31): note: 参见“torch::optim::SGD”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/sgd.h(45): warning C4251: “torch::optim::SGD::momentum_buffers”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::optim::SGD”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\pybind11\detail/common.h(71): fatal error C1189: #error: pybind11 requires MSVC 2015 update 3 or newer
error: command 'E:\\program files\\C#\\VC\\BIN\\x86_amd64\\cl.exe' failed with exit status 2
----------------------------------------
ERROR: Failed building wheel for torch-scatter
Running setup.py clean for torch-scatter
Failed to build torch-scatter
Installing collected packages: torch-scatter
Running setup.py install for torch-scatter ... error
ERROR: Complete output from command 'e:\anaconda\envs\torchwithsparse\python.exe' -u -c 'import setuptools, tokenize;__file__='"'"'C:\\Users\\WANG\\AppData\\Local\\Temp\\pip-install-bkdrkgzk\\torch-scatter\\setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(__file__);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' install --record 'C:\Users\WANG\AppData\Local\Temp\pip-record-1lcov4qq\install-record.txt' --single-version-externally-managed --compile:
ERROR: running install
running build
running build_py
creating build
creating build\lib.win-amd64-3.6
creating build\lib.win-amd64-3.6\test
copying test\test_backward.py -> build\lib.win-amd64-3.6\test
copying test\test_forward.py -> build\lib.win-amd64-3.6\test
copying test\test_max_min.py -> build\lib.win-amd64-3.6\test
copying test\test_multi_gpu.py -> build\lib.win-amd64-3.6\test
copying test\test_std.py -> build\lib.win-amd64-3.6\test
copying test\utils.py -> build\lib.win-amd64-3.6\test
copying test\__init__.py -> build\lib.win-amd64-3.6\test
creating build\lib.win-amd64-3.6\torch_scatter
copying torch_scatter\add.py -> build\lib.win-amd64-3.6\torch_scatter
copying torch_scatter\div.py -> build\lib.win-amd64-3.6\torch_scatter
copying torch_scatter\max.py -> build\lib.win-amd64-3.6\torch_scatter
copying torch_scatter\mean.py -> build\lib.win-amd64-3.6\torch_scatter
copying torch_scatter\min.py -> build\lib.win-amd64-3.6\torch_scatter
copying torch_scatter\mul.py -> build\lib.win-amd64-3.6\torch_scatter
copying torch_scatter\std.py -> build\lib.win-amd64-3.6\torch_scatter
copying torch_scatter\sub.py -> build\lib.win-amd64-3.6\torch_scatter
copying torch_scatter\__init__.py -> build\lib.win-amd64-3.6\torch_scatter
creating build\lib.win-amd64-3.6\torch_scatter\utils
copying torch_scatter\utils\ext.py -> build\lib.win-amd64-3.6\torch_scatter\utils
copying torch_scatter\utils\gen.py -> build\lib.win-amd64-3.6\torch_scatter\utils
copying torch_scatter\utils\__init__.py -> build\lib.win-amd64-3.6\torch_scatter\utils
running build_ext
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\utils\cpp_extension.py:184: UserWarning: Error checking compiler version for cl: [WinError 2] 系统找不到指定的文件。
warnings.warn('Error checking compiler version for {}: {}'.format(compiler, error))
building 'torch_scatter.scatter_cpu' extension
creating build\temp.win-amd64-3.6
creating build\temp.win-amd64-3.6\Release
creating build\temp.win-amd64-3.6\Release\cpu
E:\program files\C#\VC\BIN\x86_amd64\cl.exe /c /nologo /Ox /W3 /GL /DNDEBUG /MD -Ie:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include -Ie:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include -Ie:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\TH -Ie:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\THC -Ie:\anaconda\envs\torchwithsparse\include -Ie:\anaconda\envs\torchwithsparse\include "-IE:\program files\C#\VC\INCLUDE" "-IE:\program files\C#\VC\ATLMFC\INCLUDE" "-IC:\Program Files (x86)\Windows Kits\10\include\10.0.10150.0\ucrt" "-IC:\Program Files (x86)\Windows Kits\NETFXSDK\4.6.1\include\um" "-IC:\Program Files (x86)\Windows Kits\8.1\include\\shared" "-IC:\Program Files (x86)\Windows Kits\8.1\include\\um" "-IC:\Program Files (x86)\Windows Kits\8.1\include\\winrt" /EHsc /Tpcpu/scatter.cpp /Fobuild\temp.win-amd64-3.6\Release\cpu/scatter.obj -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=scatter_cpu -D_GLIBCXX_USE_CXX11_ABI=0 /MD
scatter.cpp
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/Exception.h(27): warning C4275: 非 dll 接 口 class“std::exception”用作 dll 接口 class“c10::Error”的基
E:\program files\C#\VC\INCLUDE\vcruntime_exception.h(43): note: 参见“std::exception”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/Exception.h(27): note: 参见“c10::Error” 的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/Exception.h(28): warning C4251: “c10::Error::msg_stack_”: class“std::vector<std::string,std::allocator<_Ty>>”需要有 dll 接口由 class“c10::Error”的客户端使用
with
[
_Ty=std::string
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/Exception.h(29): warning C4251: “c10::Error::backtrace_”: class“std::basic_string<char,std::char_traits<char>,std::allocator<char>>”需要有 dll 接口由 class“c10::Error”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/Exception.h(34): warning C4251: “c10::Error::msg_”: class“std::basic_string<char,std::char_traits<char>,std::allocator<char>>”需要有 dll 接口由 class“c10::Error”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/Exception.h(35): warning C4251: “c10::Error::msg_without_backtrace_”: class“std::basic_string<char,std::char_traits<char>,std::allocator<char>>”需要有 dll 接 口由 class“c10::Error”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/Allocator.h(21): warning C4251: “c10::DataPtr::ptr_”: class“c10::detail::UniqueVoidPtr”需要有 dll 接口由 class“c10::DataPtr”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/UniqueVoidPtr.h(38): note: 参见“c10::detail::UniqueVoidPtr”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/Allocator.h(183): warning C4251: “c10::InefficientStdFunctionContext::ptr_”: class“std::unique_ptr<void,std::function<void (void *)>>”需要有 dll 接口由 struct“c10::InefficientStdFunctionContext”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/TensorTypeIdRegistration.h(32): warning C4251: “c10::TensorTypeIdCreator::last_id_”: struct“std::atomic<unsigned char>”需要有 dll 接口由 class“c10::TensorTypeIdCreator”的客户端使用
E:\program files\C#\VC\INCLUDE\xxatomic(168): note: 参见“std::atomic<unsigned char>”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/TensorTypeIdRegistration.h(45): warning C4251: “c10::TensorTypeIdRegistry::registeredTypeIds_”: class“std::unordered_set<c10::TensorTypeId,std::hash<c10::TensorTypeId>,std::equal_to<_Kty>,std::allocator<_Kty>>”需要有 dll 接口由 class“c10::TensorTypeIdRegistry”的客户端使用
with
[
_Kty=c10::TensorTypeId
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/TensorTypeIdRegistration.h(46): warning C4251: “c10::TensorTypeIdRegistry::mutex_”: class“std::mutex”需要有 dll 接口由 class“c10::TensorTypeIdRegistry”的客 户端使用
E:\program files\C#\VC\INCLUDE\mutex(76): note: 参见“std::mutex”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/Half-inl.h(168): warning C4244: “参数”: 从“int”转换到“float”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/Half-inl.h(171): warning C4244: “参数”: 从“int”转换到“float”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/Half-inl.h(174): warning C4244: “参数”: 从“int”转换到“float”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/Half-inl.h(177): warning C4244: “参数”: 从“int”转换到“float”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/Half-inl.h(181): warning C4244: “参数”: 从“int”转换到“float”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/Half-inl.h(184): warning C4244: “参数”: 从“int”转换到“float”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/Half-inl.h(187): warning C4244: “参数”: 从“int”转换到“float”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/Half-inl.h(190): warning C4244: “参数”: 从“int”转换到“float”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/Half-inl.h(196): warning C4244: “参数”: 从“int64_t”转换到“float”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/Half-inl.h(199): warning C4244: “参数”: 从“int64_t”转换到“float”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/Half-inl.h(202): warning C4244: “参数”: 从“int64_t”转换到“float”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/Half-inl.h(205): warning C4244: “参数”: 从“int64_t”转换到“float”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/Half-inl.h(209): warning C4244: “参数”: 从“int64_t”转换到“float”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/Half-inl.h(212): warning C4244: “参数”: 从“int64_t”转换到“float”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/Half-inl.h(215): warning C4244: “参数”: 从“int64_t”转换到“float”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/Half-inl.h(218): warning C4244: “参数”: 从“int64_t”转换到“float”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(70): error C2134: “caffe2::TypeIdentifier::TypeIdentifier”: 调用不会生成常数表达式
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(70): note: 对未定义的函数或为未声明为“constexpr”的函数的调用导致了故障
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(84): note: 参见“caffe2::TypeIdentifier::TypeIdentifier”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(328): error C2071: “caffe2::TypeMeta::New”: 非法的存储类
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(329): error C2071: “caffe2::TypeMeta::PlacementNew”: 非法的存储类
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(330): error C2071: “caffe2::TypeMeta::Copy”: 非法的存储类
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(331): error C2071: “caffe2::TypeMeta::PlacementDelete”: 非法的存储类
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(332): error C2071: “caffe2::TypeMeta::Delete”: 非法的存储类
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(371): error C2327: “caffe2::TypeMeta::New”: 不是类型名称、静态或枚举数
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(371): error C2143: 语法错误: 缺少“;”(在“*”的前面)
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(371): error C4430: 缺少类型说明符 - 假定为 int。注意: C++ 不支持默认 int
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(371): error C2126: 不能使用“constexpr”说明符声明“caffe2::TypeMeta::New”
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(371): error C2334: “{”的前面有 ��外标记；跳过明显的函数体
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(377): error C2327: “caffe2::TypeMeta::PlacementNew”: 不是类型名称、静态或枚举数
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(377): error C2143: 语法错误: 缺少“;”(在“*”的前面)
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(377): error C4430: 缺少类型说明符 - 假定为 int。注意: C++ 不支持默认 int
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(377): error C2126: 不能使用“constexpr”说明符声明“caffe2::TypeMeta::PlacementNew”
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(377): error C2334: “{”的前面有 意外标记；跳过明显的函数体
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(383): error C2327: “caffe2::TypeMeta::Copy”: 不是类型名称、静态或枚举数
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(383): error C2143: 语法错误: 缺少“;”(在“*”的前面)
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(383): error C4430: 缺少类型说明符 - 假定为 int。注意: C++ 不支持默认 int
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(383): error C2126: 不能使用“constexpr”说明符声明“caffe2::TypeMeta::Copy”
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(383): error C2334: “{”的前面有 意外标记；跳过明显的函数体
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(389): error C2327: “caffe2::TypeMeta::PlacementDelete”: 不是类型名称、静态或枚举数
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(389): error C2143: 语法错误: 缺少“;”(在“*”的前面)
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(389): error C4430: 缺少类型说明符 - 假定为 int。注意: C++ 不支持默认 int
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(389): error C2126: 不能使用“constexpr”说明符声明“caffe2::TypeMeta::PlacementDelete”
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(389): error C2334: “{”的前面有 意外标记；跳过明显的函数体
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(392): error C2327: “caffe2::TypeMeta::Delete”: 不是类型名称、静态或枚举数
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(392): error C2143: 语法错误: 缺少“;”(在“*”的前面)
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(392): error C4430: 缺少类型说明符 - 假定为 int。注意: C++ 不支持默认 int
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(392): error C2126: 不能使用“constexpr”说明符声明“caffe2::TypeMeta::Delete”
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(392): error C2334: “{”的前面有 意外标记；跳过明显的函数体
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(355): error C2476: “constexpr” 构造函数不会初始化所有成员
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(328): note: 构造函数未初始化“caffe2::TypeMeta::New”
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(329): note: 构造函数未初始化“caffe2::TypeMeta::PlacementNew”
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(330): note: 构造函数未初始化“caffe2::TypeMeta::Copy”
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(331): note: 构造函数未初始化“caffe2::TypeMeta::PlacementDelete”
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/typeid.h(332): note: 构造函数未初始化“caffe2::TypeMeta::Delete”
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/TensorOptions.h(526): error C2338: TensorOptions must fit in 128-bits
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/intrusive_ptr.h(58): warning C4251: “c10::intrusive_ptr_target::refcount_”: struct“std::atomic<unsigned __int64>”需要有 dll 接口由 class“c10::intrusive_ptr_target”的客户端使用
E:\program files\C#\VC\INCLUDE\xxatomic(168): note: 参见“std::atomic<unsigned __int64>”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/intrusive_ptr.h(59): warning C4251: “c10::intrusive_ptr_target::weakcount_”: struct“std::atomic<unsigned __int64>”需要有 dll 接口由 class“c10::intrusive_ptr_target”的客户端使用
E:\program files\C#\VC\INCLUDE\xxatomic(168): note: 参见“std::atomic<unsigned __int64>”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/intrusive_ptr.h(723): warning C4267: “return”: 从“size_t”转换到“uint32_t”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/intrusive_ptr.h(757): warning C4267: “return”: 从“size_t”转换到“uint32_t”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/Storage.h(181): warning C4251: “c10::Storage::storage_impl_”: class“c10::intrusive_ptr<c10::StorageImpl,c10::detail::intrusive_target_default_null_type<TTarget>>”需要有 dll 接口由 struct“c10::Storage”的客户端使用
with
[
TTarget=c10::StorageImpl
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/logging_is_not_google_glog.h(47): warning C4251: “c10::MessageLogger::stream_”: class“std::basic_stringstream<char,std::char_traits<char>,std::allocator<char>>”需要有 dll 接口由 class“c10::MessageLogger”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/TensorImpl.h(193): warning C4251: “c10::VariableVersion::version_block_”: class“std::shared_ptr<std::atomic<unsigned int>>”需要有 dll 接口由 struct“c10::VariableVersion”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/TensorImpl.h(1466): warning C4251: “c10::TensorImpl::autograd_meta_”: class“std::unique_ptr<c10::AutogradMetaInterface,std::default_delete<_Ty>>”需要有 dll 接口由 struct“c10::TensorImpl”的客户端使用
with
[
_Ty=c10::AutogradMetaInterface
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/TensorImpl.h(1476): warning C4251: “c10::TensorImpl::sizes_”: class“c10::SmallVector<int64_t,5>”需要有 dll 接口由 struct“c10::TensorImpl”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/TensorImpl.h(1477): warning C4251: “c10::TensorImpl::strides_”: class“c10::SmallVector<int64_t,5>”需要有 dll 接口由 struct“c10::TensorImpl”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/TensorImpl.h(1499): warning C4251: “c10::TensorImpl::device_opt_”: class“c10::optional<c10::Device>”需要有 dll 接口由 struct“c10::TensorImpl”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/TensorImpl.h(1018): warning C4244: “参数 ”: 从“float”转换到“const size_t”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/TensorImpl.h(1024): error C2039: “copy”: 不是“caffe2::TypeMeta”的成员
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/DefaultDtype.h(6): note: 参见“caffe2::TypeMeta”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/TensorImpl.h(1028): error C2039: “copy”: 不是“caffe2::TypeMeta”的成员
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/DefaultDtype.h(6): note: 参见“caffe2::TypeMeta”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/TensorImpl.h(1258): error C2039: “placementDelete”: 不是“caffe2::TypeMeta”的成员
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/DefaultDtype.h(6): note: 参见“caffe2::TypeMeta”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/TensorImpl.h(1274): error C2039: “placementNew”: 不是“caffe2::TypeMeta”的成员
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/DefaultDtype.h(6): note: 参见“caffe2::TypeMeta”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/TensorImpl.h(1287): error C2039: “placementNew”: 不是“caffe2::TypeMeta”的成员
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/DefaultDtype.h(6): note: 参见“caffe2::TypeMeta”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/TensorImpl.h(1292): error C2039: “placementDelete”: 不是“caffe2::TypeMeta”的成员
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/DefaultDtype.h(6): note: 参见“caffe2::TypeMeta”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/TensorImpl.h(1295): error C3536: “dtor”: 初始化之前无法使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/TensorImpl.h(1295): error C2664: “c10::DataPtr c10::PlacementDeleteContext::makeDataPtr(c10::DataPtr &&,c10::PlacementDtor,size_t,c10::Device)”: 无法将参数 2 从“int”转换为“c10::PlacementDtor”
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/TensorImpl.h(1295): note: 从整型转换为指针类型要求 reinterpret_cast、C 样式转换或函数样式转换
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/TensorImpl.h(1296): error C2039: “placementNew”: 不是“caffe2::TypeMeta”的成员
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/DefaultDtype.h(6): note: 参见“caffe2::TypeMeta”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/TensorImpl.h(1416): warning C4244: “初始 化”: 从“int64_t”转换到“int”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/TensorImpl.h(1584): error C2338: You changed the size of TensorImpl on 64-bit arch.See Note [TensorImpl size constraints] on how to proceed.
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/LegacyTypeDispatch.h(38): error C2071: “at::LegacyTypeDeleter::TypeDeleterFun”: 非法的存储类
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/LegacyTypeDispatch.h(39): error C2327: “at::LegacyTypeDeleter::TypeDeleterFun”: 不是类型名称、静态或枚举数
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/LegacyTypeDispatch.h(39): error C2143: 语法错误: 缺少“;”(在“*”的前面)
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/LegacyTypeDispatch.h(39): error C4430: 缺少类型说明符 - 假定为 int。注意: C++ 不支持默认 int
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/LegacyTypeDispatch.h(39): error C2238: 意外的标记位于“;”之前
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/LegacyTypeDispatch.h(41): error C2327: “at::LegacyTypeDeleter::TypeDeleterFun”: 不是类型名称、静态或枚举数
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/LegacyTypeDispatch.h(41): error C2061: 语法错误: 标识符“TypeDeleterFun”
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/LegacyTypeDispatch.h(41): error C2535: “at::LegacyTypeDeleter::LegacyTypeDeleter(void)”: 已经定义或声明成员函数
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/LegacyTypeDispatch.h(40): note: 参见“at::LegacyTypeDeleter::LegacyTypeDeleter”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/LegacyTypeDispatch.h(41): error C2065: “fn”: 未声明的标识符
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/LegacyTypeDispatch.h(41): error C2614: “at::LegacyTypeDeleter”: 非法的成员初始化:“fn_”不是基或成员
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/LegacyTypeDispatch.h(43): error C2065: “fn_”: 未声明的标识符
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/LegacyTypeDispatch.h(44): error C2065: “fn_”: 未声明的标识符
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/LegacyTypeDispatch.h(137): warning C4251: “at::LegacyTypeDispatch::type_registry”: class“std::unique_ptr<at::Type,at::LegacyTypeDeleter>”需要有 dll 接口由 class“at::LegacyTypeDispatch”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/DeprecatedTypePropertiesRegistry.h(27): warning C4251: “at::DeprecatedTypePropertiesRegistry::registry”: class“std::unique_ptr<at::DeprecatedTypeProperties,std::default_delete<_Ty>>”需要有 dll 接口由 class“at::DeprecatedTypePropertiesRegistry”的客户端使用
with
[
_Ty=at::DeprecatedTypeProperties
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/Tensor.h(773): warning C4251: “at::Tensor::impl_”: class“c10::intrusive_ptr<c10::TensorImpl,c10::UndefinedTensorImpl>”需要有 dll 接口由 class“at::Tensor”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/Tensor.h(774): warning C4522: “at::Tensor”: 指定了多个赋值运算符
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/Tensor.h(801): warning C4251: “at::WeakTensor::weak_impl_”: class“c10::weak_intrusive_ptr<TTarget,NullType>”需要有 dll 接口由 struct“at::WeakTensor”的客户 端使用
with
[
TTarget=c10::TensorImpl,
NullType=c10::UndefinedTensorImpl
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/LegacyTHDispatch.h(49): error C2071: “at::LegacyTHDispatcherDeleter::LegacyTHDispatcherDeleterFun”: 非法的存储类
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/LegacyTHDispatch.h(50): error C2327: “at::LegacyTHDispatcherDeleter::LegacyTHDispatcherDeleterFun”: 不是类型名称、静态或枚举数
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/LegacyTHDispatch.h(50): error C2143: 语法错误: 缺少“;”(在“*”的前面)
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/LegacyTHDispatch.h(50): error C4430: 缺少类型 说明符 - 假定为 int。注意: C++ 不支持默认 int
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/LegacyTHDispatch.h(50): error C2238: 意外的标 记位于“;”之前
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/LegacyTHDispatch.h(52): error C2327: “at::LegacyTHDispatcherDeleter::LegacyTHDispatcherDeleterFun”: 不是类型名称、静态或枚举数
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/LegacyTHDispatch.h(52): error C2061: 语法错误: 标识符“LegacyTHDispatcherDeleterFun”
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/LegacyTHDispatch.h(52): error C2535: “at::LegacyTHDispatcherDeleter::LegacyTHDispatcherDeleter(void)”: 已经定义或声明成员函数
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/LegacyTHDispatch.h(51): note: 参见“at::LegacyTHDispatcherDeleter::LegacyTHDispatcherDeleter”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/LegacyTHDispatch.h(52): error C2065: “fn”: 未声明的标识符
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/LegacyTHDispatch.h(52): error C2614: “at::LegacyTHDispatcherDeleter”: 非法的成员初始化:“fn_”不是基或成员
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/LegacyTHDispatch.h(54): error C2065: “fn_”: 未声明的标识符
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/LegacyTHDispatch.h(55): error C2065: “fn_”: 未声明的标识符
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/LegacyTHDispatch.h(122): warning C4251: “at::LegacyTHDispatch::dispatcher_registry”: class“std::unique_ptr<at::LegacyTHDispatcher,at::LegacyTHDispatcherDeleter>” 需要有 dll 接口由 class“at::LegacyTHDispatch”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/Stream.h(126): warning C4244: “参数”: 从“unsigned __int64”转换到“c10::DeviceIndex”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/Stream.h(126): warning C4244: “参数”: 从“unsigned __int64”转换到“c10::StreamId”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/impl/DeviceGuardImplInterface.h(137): warning C4800: “const c10::impl::DeviceGuardImplInterface *”: 将值强制为布尔值“true”或“false”(性能警告)
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/Context.h(134): warning C4251: “at::Context::generator_registry”: class“std::unique_ptr<at::Generator,std::default_delete<_Ty>>”需要有 dll 接口由 class“at::Context”的客户端使用
with
[
_Ty=at::Generator
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/Context.h(151): warning C4251: “at::Context::thc_init”: struct“std::once_flag”需要有 dll 接口由 class“at::Context”的客户端使用
E:\program files\C#\VC\INCLUDE\mutex(397): note: 参见“std::once_flag”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/Context.h(152): warning C4251: “at::Context::thh_init”: struct“std::once_flag”需要有 dll 接口由 class“at::Context”的客户端使用
E:\program files\C#\VC\INCLUDE\mutex(397): note: 参见“std::once_flag”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/Context.h(153): warning C4251: “at::Context::complex_init_”: struct“std::once_flag”需要有 dll 接口由 class“at::Context”的客户端使用
E:\program files\C#\VC\INCLUDE\mutex(397): note: 参见“std::once_flag”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/Context.h(157): warning C4251: “at::Context::next_id”: struct“std::atomic<unsigned __int64>”需要有 dll 接口由 class“at::Context”的客户端使用
E:\program files\C#\VC\INCLUDE\xxatomic(168): note: 参见“std::atomic<unsigned __int64>”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/Context.h(158): warning C4251: “at::Context::thc_state”: class“std::unique_ptr<THCState,void (__cdecl *)(THCState *)>”需要有 dll 接口由 class“at::Context”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/Context.h(159): warning C4251: “at::Context::thh_state”: class“std::unique_ptr<THHState,void (__cdecl *)(THHState *)>”需要有 dll 接口由 class“at::Context”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/Context.h(52): error C2440: “<function-style-cast>”: 无法从“at::Context::registerType::<lambda_1fc99ff75cd149d173424b282353a33b>”转换为“at::LegacyTypeDeleter”
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/Context.h(52): note: 无构造函数可以接受源类型 ，或构造函数重载决策不明确
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/Context.h(57): error C2440: “<function-style-cast>”: 无法从“at::Context::registerLegacyTHDispatcher::<lambda_b06be8ac5025571199e3700984197321>”转换为“at::LegacyTHDispatcherDeleter”
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/Context.h(57): note: 无构造函数可以接受源类型 ，或构造函数重载决策不明确
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/TensorGeometry.h(56): warning C4251: “at::TensorGeometry::sizes_”: class“std::vector<int64_t,std::allocator<_Ty>>”需要有 dll 接口由 struct“at::TensorGeometry”的客户端使用
with
[
_Ty=int64_t
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/TensorGeometry.h(57): warning C4251: “at::TensorGeometry::strides_”: class“std::vector<int64_t,std::allocator<_Ty>>”需要有 dll 接口由 struct“at::TensorGeometry”的客户端使用
with
[
_Ty=int64_t
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/utils/hash.h(70): error C2995: “unknown-type torch::_hash_detail::dispatch_hash(const T &)”: 函数模板已经定义
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/utils/hash.h(57): note: 参见“torch::_hash_detail::dispatch_hash”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/autograd/variable.h(331): warning C4251: “torch::autograd::Variable::AutogradMeta::name”: class“std::basic_string<char,std::char_traits<char>,std::allocator<char>>”需要有 dll 接口由 struct“torch::autograd::Variable::AutogradMeta”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/autograd/variable.h(334): warning C4251: “torch::autograd::Variable::AutogradMeta::grad_fn_”: class“std::shared_ptr<torch::autograd::Function>”需要有 dll 接口由 struct“torch::autograd::Variable::AutogradMeta”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/autograd/variable.h(335): warning C4251: “torch::autograd::Variable::AutogradMeta::grad_accumulator_”: class“std::weak_ptr<torch::autograd::Function>”需要有 dll 接口由 struct“torch::autograd::Variable::AutogradMeta”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/autograd/variable.h(337): warning C4251: “torch::autograd::Variable::AutogradMeta::hooks_”: class“std::vector<std::shared_ptr<torch::autograd::FunctionPreHook>,std::allocator<_Ty>>”需要有 dll 接口由 struct“torch::autograd::Variable::AutogradMeta”的客户端使用
with
[
_Ty=std::shared_ptr<torch::autograd::FunctionPreHook>
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/autograd/variable.h(353): warning C4251: “torch::autograd::Variable::AutogradMeta::mutex_”: class“std::mutex”需要有 dll 接口由 struct“torch::autograd::Variable::AutogradMeta”的客户端使用
E:\program files\C#\VC\INCLUDE\mutex(76): note: 参见“std::mutex”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/blob.h(191): error C2039: “deleteFn”: 不是“caffe2::TypeMeta”的成员
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/core/DefaultDtype.h(6): note: 参见“caffe2::TypeMeta”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(27): warning C4251: “c10::ivalue::ConstantString::str_”: class“std::basic_string<char,std::char_traits<char>,std::allocator<char>>”需要有 dll 接口由 struct“c10::ivalue::ConstantString”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(46): warning C4251: “c10::ivalue::List<Elem>::elements_”: class“std::vector<T,std::allocator<_Ty>>”需要有 dll 接口由 struct“c10::ivalue::List<Elem>”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(72): note: 参见对正在编译的类 模板 实例化“c10::ivalue::List<Elem>”的引用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(46): warning C4251: “c10::ivalue::List<c10::IValue>::elements_”: class“std::vector<Elem,std::allocator<_Ty>>”需要有 dll 接口由 struct“c10::ivalue::List<c10::IValue>”的客户端使用
with
[
Elem=c10::IValue,
_Ty=c10::IValue
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(87): note: 参见对正在编译的类 模板 实例化“c10::ivalue::List<c10::IValue>”的引用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(560): warning C4275: 非 dll 接口 class“std::exception”用作 dll 接口 struct“c10::ivalue::Future::FutureError”的基
E:\program files\C#\VC\INCLUDE\vcruntime_exception.h(43): note: 参见“std::exception”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(560): note: 参见“c10::ivalue::Future::FutureError”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(570): warning C4251: “c10::ivalue::Future::FutureError::error_msg”: class“std::basic_string<char,std::char_traits<char>,std::allocator<char>>”需要有 dll 接口由 struct“c10::ivalue::Future::FutureError”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(676): warning C4251: “c10::ivalue::Future::mutex_”: class“std::mutex”需要有 dll 接口由 struct“c10::ivalue::Future”的客户端使用
E:\program files\C#\VC\INCLUDE\mutex(76): note: 参见“std::mutex”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(678): warning C4251: “c10::ivalue::Future::completed_”: struct“std::atomic<bool>”需要有 dll 接口由 struct“c10::ivalue::Future”的客户端使用
E:\program files\C#\VC\INCLUDE\xxatomic(168): note: 参见“std::atomic<bool>”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(679): warning C4251: “c10::ivalue::Future::callbacks”: class“std::vector<std::function<void (void)>,std::allocator<_Ty>>”需要有 dll 接口由 struct“c10::ivalue::Future”的客户端使用
with
[
_Ty=std::function<void (void)>
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(722): warning C4251: “c10::ivalue::Object::type_”: class“std::shared_ptr<c10::ClassType>”需要有 dll 接口由 struct“c10::ivalue::Object”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(723): warning C4251: “c10::ivalue::Object::slots_”: class“std::vector<Elem,std::allocator<_Ty>>”需要有 dll 接口由 struct“c10::ivalue::Object”的客 户端使用
with
[
Elem=c10::IValue,
_Ty=c10::IValue
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(728): warning C4251: “c10::ivalue::GenericDict::elements_”: class“std::unordered_map<c10::IValue,c10::IValue,c10::ivalue::DictHash,c10::ivalue::DictEqualTo,std::allocator<std::pair<const _Kty,_Ty>>>”需要有 dll 接口由 struct“c10::ivalue::GenericDict”的客户端使用
with
[
_Kty=c10::IValue,
_Ty=c10::IValue
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(781): warning C4244: “return”: 从“double”转换到“float”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(783): warning C4244: “return”: 从“int64_t”转换到“unsigned char”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(784): warning C4244: “return”: 从“int64_t”转换到“signed char”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(785): warning C4244: “return”: 从“int64_t”转换到“unsigned short”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(786): warning C4244: “return”: 从“int64_t”转换到“short”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(787): warning C4244: “return”: 从“int64_t”转换到“int”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(788): warning C4244: “return”: 从“int64_t”转换到“uint32_t”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(790): warning C4244: “return”: 从“int64_t”转换到“c10::detail::_guarded_unsigned_long”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(46): warning C4251: “c10::ivalue::List<int64_t>::elements_”: class“std::vector<int64_t,std::allocator<_Ty>>”需要有 dll 接口由 struct“c10::ivalue::List<int64_t>”的客户端使用
with
[
_Ty=int64_t
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(859): note: 参见对正在编译的类 模板 实例化“c10::ivalue::List<int64_t>”的引用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(46): warning C4251: “c10::ivalue::List<double>::elements_”: class“std::vector<T,std::allocator<_Ty>>”需要有 dll 接口由 struct“c10::ivalue::List<double>”的客户端使用
with
[
T=double,
_Ty=double
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(873): note: 参见对正在编译的类 模板 实例化“c10::ivalue::List<double>”的引用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(46): warning C4251: “c10::ivalue::List<bool>::elements_”: class“std::vector<bool,std::allocator<_Ty>>”需要有 dll 接口由 struct“c10::ivalue::List<bool>”的客户端使用
with
[
_Ty=bool
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(880): note: 参见对正在编译的类 模板 实例化“c10::ivalue::List<bool>”的引用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(46): warning C4251: “c10::ivalue::List<at::Tensor>::elements_”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 struct“c10::ivalue::List<at::Tensor>”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(887): note: 参见对正在编译的类 模板 实例化“c10::ivalue::List<at::Tensor>”的引用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/ivalue.h(1003): warning C4244: “参数”: 从“int64_t”转换到“const int”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/jit_type.h(66): warning C4251: “std::enable_shared_from_this<c10::Type>::_Wptr”: class“std::weak_ptr<_Ty>”需要有 dll 接口由 class“std::enable_shared_from_this<c10::Type>”的客户端使用
with
[
_Ty=c10::Type
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/jit_type.h(227): warning C4251: “c10::SingleElementType<OptionalType,c10::OptionalType>::elem”: class“std::shared_ptr<c10::Type>”需要有 dll 接口由 struct“c10::SingleElementType<OptionalType,c10::OptionalType>”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/jit_type.h(477): warning C4251: “c10::VaryingShape::size_”: class“c10::optional<size_t>”需要有 dll 接口由 struct“c10::VaryingShape”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/jit_type.h(478): warning C4251: “c10::VaryingShape::dims_”: class“std::vector<c10::optional<int64_t>,std::allocator<_Ty>>”需要有 dll 接口由 struct“c10::VaryingShape”的客户端使用
with
[
_Ty=c10::optional<int64_t>
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/jit_type.h(571): warning C4251: “c10::ProfiledTensorType::scalar_type_”: class“c10::optional<c10::ScalarType>”需要有 dll 接口由 struct“c10::ProfiledTensorType”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/jit_type.h(572): warning C4251: “c10::ProfiledTensorType::device_”: class“c10::optional<c10::Device>”需要有 dll 接口由 struct“c10::ProfiledTensorType”的客 户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/jit_type.h(575): warning C4251: “c10::ProfiledTensorType::requires_grad_”: class“c10::optional<bool>”需要有 dll 接口由 struct“c10::ProfiledTensorType”的客 户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/jit_type.h(533): warning C4267: “参数”: 从“size_t”转换到“int”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/jit_type.h(537): warning C4267: “参数”: 从“size_t”转换到“int”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/jit_type.h(682): warning C4251: “c10::CompleteTensorType::sizes_”: class“std::vector<int64_t,std::allocator<_Ty>>”需要有 dll 接口由 struct“c10::CompleteTensorType”的客户端使用
with
[
_Ty=int64_t
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/jit_type.h(683): warning C4251: “c10::CompleteTensorType::strides_”: class“std::vector<int64_t,std::allocator<_Ty>>”需要有 dll 接口由 struct“c10::CompleteTensorType”的客户端使用
with
[
_Ty=int64_t
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/jit_type.h(688): warning C4251: “c10::SingleElementType<ListType,c10::ListType>::elem”: class“std::shared_ptr<c10::Type>”需要有 dll 接口由 struct“c10::SingleElementType<ListType,c10::ListType>”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/jit_type.h(801): warning C4251: “c10::DictType::types”: class“std::vector<c10::TypePtr,std::allocator<_Ty>>”需要有 dll 接口由 struct“c10::DictType”的客户端使用
with
[
_Ty=c10::TypePtr
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/jit_type.h(808): warning C4251: “c10::SingleElementType<FutureType,c10::FutureType>::elem”: class“std::shared_ptr<c10::Type>”需要有 dll 接口由 struct“c10::SingleElementType<FutureType,c10::FutureType>”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/jit_type.h(941): warning C4251: “c10::TupleType::elements_”: class“std::vector<c10::TypePtr,std::allocator<_Ty>>”需要有 dll 接口由 struct“c10::TupleType”的客户端使用
with
[
_Ty=c10::TypePtr
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/jit_type.h(943): warning C4251: “c10::TupleType::names_”: class“c10::optional<std::vector<std::string,std::allocator<_Ty>>>”需要有 dll 接口由 struct“c10::TupleType”的客户端使用
with
[
_Ty=std::string
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/jit_type.h(1450): warning C4251: “c10::ClassType::qualifiedName_”: class“std::basic_string<char,std::char_traits<char>,std::allocator<char>>”需要有 dll 接口 由 struct“c10::ClassType”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/jit_type.h(1454): warning C4251: “c10::ClassType::qualifier_”: class“std::basic_string<char,std::char_traits<char>,std::allocator<char>>”需要有 dll 接口由 struct“c10::ClassType”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/jit_type.h(1456): warning C4251: “c10::ClassType::basename_”: class“std::basic_string<char,std::char_traits<char>,std::allocator<char>>”需要有 dll 接口由 struct“c10::ClassType”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/jit_type.h(1464): warning C4251: “c10::ClassType::attributeNames_”: class“std::vector<std::string,std::allocator<_Ty>>”需要有 dll 接口由 struct“c10::ClassType”的客户端使用
with
[
_Ty=std::string
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/jit_type.h(1465): warning C4251: “c10::ClassType::attributeTypes_”: class“std::vector<c10::TypePtr,std::allocator<_Ty>>”需要有 dll 接口由 struct“c10::ClassType”的客户端使用
with
[
_Ty=c10::TypePtr
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/jit_type.h(1467): warning C4251: “c10::ClassType::compilation_unit_”: class“std::shared_ptr<torch::jit::script::CompilationUnit>”需要有 dll 接口由 struct“c10::ClassType”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/scope.h(22): warning C4251: “torch::jit::Scope::parent_”: class“c10::intrusive_ptr<torch::jit::Scope,c10::detail::intrusive_target_default_null_type<TTarget>>”需要有 dll 接口由 struct“torch::jit::Scope”的客户端使用
with
[
TTarget=torch::jit::Scope
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/constants.h(20): warning C4275: 非 dll 接口 class“std::runtime_error”用作 dll 接口 struct“torch::jit::constant_not_supported_error”的基
E:\program files\C#\VC\INCLUDE\stdexcept(166): note: 参见“std::runtime_error”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/constants.h(20): note: 参见“torch::jit::constant_not_supported_error”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/attributes.h(87): warning C4275: 非 dll 接口 struct“torch::jit::AttributeValue”用作 dll 接口 struct“torch::jit::GraphAttr”的基
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/attributes.h(25): note: 参见“torch::jit::AttributeValue”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/attributes.h(87): note: 参见“torch::jit::GraphAttr”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/attributes.h(101): warning C4251: “torch::jit::GraphAttr::value_”: class“std::shared_ptr<torch::jit::Graph>”需要有 dll 接口由 struct“torch::jit::GraphAttr”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/attributes.h(104): warning C4275: 非 dll 接口 struct“torch::jit::AttributeValue”用作 dll 接口 struct“torch::jit::GraphsAttr”的基
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/attributes.h(25): note: 参见“torch::jit::AttributeValue”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/attributes.h(104): note: 参见“torch::jit::GraphsAttr”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/attributes.h(118): warning C4251: “torch::jit::GraphsAttr::value_”: class“std::vector<std::shared_ptr<torch::jit::Graph>,std::allocator<_Ty>>”需要有 dll 接口由 struct“torch::jit::GraphsAttr”的客户端使用
with
[
_Ty=std::shared_ptr<torch::jit::Graph>
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/ir.h(246): warning C4251: “torch::jit::Node::inputs_”: class“std::vector<torch::jit::Value *,std::allocator<_Ty>>”需要有 dll 接口由 struct“torch::jit::Node”的客户端使用
with
[
_Ty=torch::jit::Value *
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/ir.h(247): warning C4251: “torch::jit::Node::outputs_”: class“std::vector<torch::jit::Value *,std::allocator<_Ty>>”需要有 dll 接口由 struct“torch::jit::Node”的客户端使用
with
[
_Ty=torch::jit::Value *
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/ir.h(249): warning C4251: “torch::jit::Node::blocks_”: class“std::vector<torch::jit::Block *,std::allocator<_Ty>>”需要有 dll 接口由 struct“torch::jit::Node”的客户端使用
with
[
_Ty=torch::jit::Block *
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/ir.h(252): warning C4251: “torch::jit::Node::source_location_”: class“std::shared_ptr<torch::jit::SourceLocation>”需要有 dll 接口由 struct“torch::jit::Node”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/ir.h(253): warning C4251: “torch::jit::Node::scope_”: class“c10::intrusive_ptr<torch::jit::Scope,c10::detail::intrusive_target_default_null_type<TTarget>>”需要有 dll 接口由 struct“torch::jit::Node”的客户端使用
with
[
TTarget=torch::jit::Scope
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/ir.h(756): warning C4251: “torch::jit::Node::values_”: class“std::vector<torch::jit::Node::AVPtr,std::allocator<_Ty>>”需要有 dll 接口由 struct“torch::jit::Node”的客户端使用
with
[
_Ty=torch::jit::Node::AVPtr
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/ir.h(1243): error C4579: 'torch::jit::ProfileOp::Kind': in-class initialization for type 'const c10::Symbol' is not yet implemented; static member will remain uninitialized at runtime but use in constant-expressions is supported
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/tracing_state.h(30): warning C4251: “std::enable_shared_from_this<torch::jit::tracer::TracingState>::_Wptr”: class“std::weak_ptr<_Ty>”需要有 dll 接口由 class“std::enable_shared_from_this<torch::jit::tracer::TracingState>”的客户端使用
with
[
_Ty=torch::jit::tracer::TracingState
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/tracing_state.h(58): warning C4251: “torch::jit::tracer::TracingState::env_stack”: class“std::vector<torch::jit::tracer::TracingState::TracingEnvironmentFrame,std::allocator<_Ty>>”需要有 dll 接口由 struct“torch::jit::tracer::TracingState”的客户端使用
with
[
_Ty=torch::jit::tracer::TracingState::TracingEnvironmentFrame
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/tracing_state.h(59): warning C4251: “torch::jit::tracer::TracingState::graph”: class“std::shared_ptr<torch::jit::Graph>”需要有 dll 接口由 struct“torch::jit::tracer::TracingState”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/tracing_state.h(63): warning C4251: “torch::jit::tracer::TracingState::lookup_var_name_fn”: class“std::function<std::string (const torch::autograd::Variable &)>”需要有 dll 接口由 struct“torch::jit::tracer::TracingState”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/tracing_state.h(159): warning C4251: “torch::jit::tracer::NoWarn::state”: class“std::shared_ptr<_Ty>”需要有 dll 接口由 struct“torch::jit::tracer::NoWarn”的客户端使用
with
[
_Ty=torch::jit::tracer::TracingState
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/tracer.h(171): warning C4273: “torch::jit::tracer::addInputs”: dll 链接不一致
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/tracer.h(154): note: 参见“addInputs”的前一个定义
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/tracer.h(178): warning C4273: “torch::jit::tracer::addInputs”: dll 链接不一致
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/tracer.h(160): note: 参见“addInputs”的前一个定义
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/data/samplers/distributed.h(96): warning C4251: “torch::data::samplers::DistributedRandomSampler::all_indices_”: class“std::vector<T,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::data::samplers::DistributedRandomSampler”的客户端使用
with
[
T=size_t,
_Ty=size_t
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/data/samplers/distributed.h(129): warning C4251: “torch::data::samplers::DistributedSequentialSampler::all_indices_”: class“std::vector<T,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::data::samplers::DistributedSequentialSampler”的客户端使用
with
[
T=size_t,
_Ty=size_t
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/serialize/input-archive.h(89): warning C4251: “torch::serialize::InputArchive::module_”: class“std::shared_ptr<torch::jit::script::Module> ”需要有 dll 接口由 class“torch::serialize::InputArchive”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/serialize/output-archive.h(66): warning C4251: “torch::serialize::OutputArchive::module_”: class“std::shared_ptr<torch::jit::script::Module>”需要有 dll 接口由 class“torch::serialize::OutputArchive”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/lexer.h(356): warning C4251: “torch::jit::script::SharedParserData::head”: class“std::unique_ptr<torch::jit::script::TokenTrie,std::default_delete<_Ty>>”需要有 dll 接口由 struct“torch::jit::script::SharedParserData”的客户端使用
with
[
_Ty=torch::jit::script::TokenTrie
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/lexer.h(382): warning C4267: “参数”: 从“size_t”转换到“int”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/lexer.h(458): warning C4267: “初始化”: 从“size_t”转换到“int”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/argument_spec.h(168): warning C4251: “torch::jit::ArgumentSpecCreator::instructions_”: class“std::vector<torch::jit::ArgumentSpecCreator::Inst,std::allocator<_Ty>>”需要有 dll 接口由 struct“torch::jit::ArgumentSpecCreator”的客户端使用
with
[
_Ty=torch::jit::ArgumentSpecCreator::Inst
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/argument_spec.h(201): warning C4267: “初始化”: 从“size_t”转换到“int32_t”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/argument_spec.h(204): warning C4267: “初始化”: 从“size_t”转换到“int32_t”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\c10/util/ArrayRef.h(144): warning C4267: “初始化”: 从“size_t”转换到“const int32_t”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/argument_spec.h(209): warning C4244: “+=”: 从“int64_t”转换到“int32_t”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/argument_spec.h(229): warning C4244: “+=”: 从“int64_t”转换到“int32_t”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/argument_spec.h(293): warning C4800: “const unsigned int”: 将值强制为布尔值“true”或“false”(性能警告)
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/argument_spec.h(391): warning C4267: “参数”: 从“size_t”转换到“const int”，可能丢失数据
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/interpreter.h(44): warning C4251: “torch::jit::Code::pImpl”: class“std::shared_ptr<torch::jit::CodeImpl>”需要有 dll 接口由 struct“torch::jit::Code”的 客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/graph_executor.h(41): warning C4251: “torch::jit::GraphExecutor::pImpl”: class“std::shared_ptr<torch::jit::GraphExecutorImpl>”需要有 dll 接口由 struct“torch::jit::GraphExecutor”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/compilation_unit.h(160): warning C4251: “torch::jit::script::Function::name_”: class“std::basic_string<char,std::char_traits<char>,std::allocator<char>>”需要有 dll 接口由 struct“torch::jit::script::Function”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/compilation_unit.h(161): warning C4251: “torch::jit::script::Function::graph_”: class“std::shared_ptr<torch::jit::Graph>”需要有 dll 接口由 struct“torch::jit::script::Function”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/compilation_unit.h(166): warning C4251: “torch::jit::script::Function::executor_init_”: struct“std::once_flag”需要有 dll 接口由 struct“torch::jit::script::Function”的客户端使用
E:\program files\C#\VC\INCLUDE\mutex(397): note: 参见“std::once_flag”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/compilation_unit.h(171): warning C4251: “torch::jit::script::Function::function_creator_”: class“std::function<void (torch::jit::script::Function &)>”需要有 dll 接口由 struct“torch::jit::script::Function”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/compilation_unit.h(176): warning C4251: “torch::jit::script::Function::schema_”: class“std::unique_ptr<c10::FunctionSchema,std::default_delete<_Ty>>”需要有 dll 接口由 struct“torch::jit::script::Function”的客户端使用
with
[
_Ty=c10::FunctionSchema
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/compilation_unit.h(266): warning C4251: “torch::jit::script::CompilationUnit::functions_”: class“std::vector<std::shared_ptr<torch::jit::script::Function>,std::allocator<_Ty>>”需要有 dll 接口由 struct“torch::jit::script::CompilationUnit”的客户端使用
with
[
_Ty=std::shared_ptr<torch::jit::script::Function>
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/compilation_unit.h(268): warning C4251: “torch::jit::script::CompilationUnit::dict_”: class“std::unordered_map<std::string,size_t,std::hash<std::string>,std::equal_to<_Kty>,std::allocator<std::pair<const _Kty,_Ty>>>”需要有 dll 接口由 struct“torch::jit::script::CompilationUnit”的客户端使用
with
[
_Kty=std::string,
_Ty=size_t
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/module.h(123): warning C4251: “torch::jit::script::Method::function_”: class“std::shared_ptr<torch::jit::script::Function>”需要有 dll 接口由 struct“torch::jit::script::Method”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/module.h(127): warning C4251: “torch::jit::script::Method::initial_ivalues_”: class“std::vector<torch::jit::script::Slot,std::allocator<_Ty>>”需 要有 dll 接口由 struct“torch::jit::script::Method”的客户端使用
with
[
_Ty=torch::jit::script::Slot
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/module.h(128): warning C4251: “torch::jit::script::Method::schema_”: struct“c10::FunctionSchema”需要有 dll 接口由 struct“torch::jit::script::Method”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\ATen/core/function_schema.h(96): note: 参见“c10::FunctionSchema”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/module.h(543): warning C4251: “torch::jit::script::Module::modules_”: class“std::vector<std::shared_ptr<torch::jit::script::Module>,std::allocator<_Ty>>”需要有 dll 接口由 struct“torch::jit::script::Module”的客户端使用
with
[
_Ty=std::shared_ptr<torch::jit::script::Module>
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/module.h(544): warning C4251: “torch::jit::script::Module::parameters_”: class“std::vector<torch::jit::script::Slot,std::allocator<_Ty>>”需要有 dll 接口由 struct“torch::jit::script::Module”的客户端使用
with
[
_Ty=torch::jit::script::Slot
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/module.h(545): warning C4251: “torch::jit::script::Module::attributes_”: class“std::vector<torch::jit::script::Slot,std::allocator<_Ty>>”需要有 dll 接口由 struct“torch::jit::script::Module”的客户端使用
with
[
_Ty=torch::jit::script::Slot
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/module.h(546): warning C4251: “torch::jit::script::Module::methods_”: class“std::vector<std::unique_ptr<torch::jit::script::Method,std::default_delete<_Ty>>,std::allocator<std::unique_ptr<_Ty,std::default_delete<_Ty>>>>”需要有 dll 接口由 struct“torch::jit::script::Module”的客户端使用
with
[
_Ty=torch::jit::script::Method
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/module.h(548): warning C4251: “torch::jit::script::Module::dict_”: class“std::unordered_map<std::string,torch::jit::script::Module::Entry,std::hash<std::string>,std::equal_to<_Kty>,std::allocator<std::pair<const _Kty,_Ty>>>”需要有 dll 接口由 struct“torch::jit::script::Module”的客户端使用
with
[
_Kty=std::string,
_Ty=torch::jit::script::Module::Entry
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/module.h(549): warning C4251: “torch::jit::script::Module::name_”: class“std::basic_string<char,std::char_traits<char>,std::allocator<char>>”需要有 dll 接口由 struct“torch::jit::script::Module”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/module.h(551): warning C4251: “torch::jit::script::Module::module_value_”: class“c10::intrusive_ptr<c10::ivalue::Object,c10::detail::intrusive_target_default_null_type<TTarget>>”需要有 dll 接口由 struct“torch::jit::script::Module”的客户端使用
with
[
TTarget=c10::ivalue::Object
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/module.h(566): warning C4251: “torch::jit::script::Module::create_method_guard_”: class“std::recursive_mutex”需要有 dll 接口由 struct“torch::jit::script::Module”的客户端使用
E:\program files\C#\VC\INCLUDE\mutex(89): note: 参见“std::recursive_mutex”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/sugared_value.h(25): warning C4251: “std::enable_shared_from_this<torch::jit::script::SugaredValue>::_Wptr”: class“std::weak_ptr<_Ty>”需要有 dll 接口由 class“std::enable_shared_from_this<torch::jit::script::SugaredValue>”的客户端使用
with
[
_Ty=torch::jit::script::SugaredValue
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/sugared_value.h(156): warning C4251: “torch::jit::script::BuiltinFunction::self”: class“c10::optional<torch::jit::NamedValue>”需要有 dll 接口由 struct“torch::jit::script::BuiltinFunction”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/sugared_value.h(185): warning C4251: “torch::jit::script::BuiltinModule::name”: class“std::basic_string<char,std::char_traits<char>,std::allocator<char>>”需要有 dll 接口由 struct“torch::jit::script::BuiltinModule”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/sugared_value.h(188): warning C4251: “torch::jit::script::BuiltinModule::version”: class“c10::optional<int64_t>”需要有 dll 接口由 struct“torch::jit::script::BuiltinModule”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/sugared_value.h(214): warning C4251: “torch::jit::script::ClassValue::type_”: class“std::shared_ptr<c10::ClassType>”需要有 dll 接口由 struct“torch::jit::script::ClassValue”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/sugared_value.h(282): warning C4251: “torch::jit::script::CastValue::type_”: class“std::shared_ptr<c10::Type>”需要有 dll 接口由 struct“torch::jit::script::CastValue”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch/csrc/jit/script/sugared_value.h(338): warning C4251: “torch::jit::script::ClassNewMethod::type_”: class“std::shared_ptr<c10::ClassType>”需要有 dll 接口由 struct “torch::jit::script::ClassNewMethod”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/module.h(62): warning C4251: “std::enable_shared_from_this<torch::nn::Module>::_Wptr”: class“std::weak_ptr<_Ty>”需要有 dll 接口由 class“std::enable_shared_from_this<torch::nn::Module>”的客户端使用
with
[
_Ty=torch::nn::Module
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/module.h(514): warning C4251: “torch::nn::Module::parameters_”: class“torch::OrderedDict<std::string,at::Tensor>”需要有 dll 接口由 class“torch::nn::Module”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/module.h(517): warning C4251: “torch::nn::Module::buffers_”: class“torch::OrderedDict<std::string,at::Tensor>”需要有 dll 接口由 class“torch::nn::Module”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/module.h(520): warning C4251: “torch::nn::Module::children_”: class“torch::OrderedDict<std::string,std::shared_ptr<_Ty>>”需要有 dll 接 口由 class“torch::nn::Module”的客户端使用
with
[
_Ty=torch::nn::Module
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/module.h(523): warning C4251: “torch::nn::Module::name_”: class“c10::optional<std::string>”需要有 dll 接口由 class“torch::nn::Module”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/modules/conv.h(111): warning C4251: “torch::nn::ConvImpl<0x01,torch::nn::Conv1dImpl>::options”: struct“torch::nn::ConvOptions<0x01>”需 要有 dll 接口由 class“torch::nn::ConvImpl<0x01,torch::nn::Conv1dImpl>”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/modules/conv.h(131): warning C4251: “torch::nn::ConvImpl<0x02,torch::nn::Conv2dImpl>::options”: struct“torch::nn::ConvOptions<0x02>”需 要有 dll 接口由 class“torch::nn::ConvImpl<0x02,torch::nn::Conv2dImpl>”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/modules/conv.h(151): warning C4251: “torch::nn::ConvImpl<0x03,torch::nn::Conv3dImpl>::options”: struct“torch::nn::ConvOptions<0x03>”需 要有 dll 接口由 class“torch::nn::ConvImpl<0x03,torch::nn::Conv3dImpl>”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/modules/functional.h(94): warning C4251: “torch::nn::FunctionalImpl::function_”: class“std::function<at::Tensor (at::Tensor)>”需要有 dll 接口由 class“torch::nn::FunctionalImpl”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/modules/rnn.h(177): warning C4251: “torch::nn::detail::RNNImplBase<torch::nn::RNNImpl>::w_ih”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::nn::detail::RNNImplBase<torch::nn::RNNImpl>”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/modules/rnn.h(177): warning C4251: “torch::nn::detail::RNNImplBase<torch::nn::RNNImpl>::w_hh”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::nn::detail::RNNImplBase<torch::nn::RNNImpl>”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/modules/rnn.h(177): warning C4251: “torch::nn::detail::RNNImplBase<torch::nn::RNNImpl>::b_ih”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::nn::detail::RNNImplBase<torch::nn::RNNImpl>”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/modules/rnn.h(177): warning C4251: “torch::nn::detail::RNNImplBase<torch::nn::RNNImpl>::b_hh”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::nn::detail::RNNImplBase<torch::nn::RNNImpl>”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/modules/rnn.h(177): warning C4251: “torch::nn::detail::RNNImplBase<torch::nn::RNNImpl>::cudnn_mode_”: class“c10::optional<torch::nn::detail::RNNImplBase<torch::nn::RNNImpl>::CuDNNMode>”需要有 dll 接口由 class“torch::nn::detail::RNNImplBase<torch::nn::RNNImpl>”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/modules/rnn.h(177): warning C4251: “torch::nn::detail::RNNImplBase<torch::nn::RNNImpl>::flat_weights_”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::nn::detail::RNNImplBase<torch::nn::RNNImpl>”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/modules/rnn.h(208): warning C4251: “torch::nn::detail::RNNImplBase<torch::nn::LSTMImpl>::w_ih”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::nn::detail::RNNImplBase<torch::nn::LSTMImpl>”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/modules/rnn.h(208): warning C4251: “torch::nn::detail::RNNImplBase<torch::nn::LSTMImpl>::w_hh”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::nn::detail::RNNImplBase<torch::nn::LSTMImpl>”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/modules/rnn.h(208): warning C4251: “torch::nn::detail::RNNImplBase<torch::nn::LSTMImpl>::b_ih”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::nn::detail::RNNImplBase<torch::nn::LSTMImpl>”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/modules/rnn.h(208): warning C4251: “torch::nn::detail::RNNImplBase<torch::nn::LSTMImpl>::b_hh”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::nn::detail::RNNImplBase<torch::nn::LSTMImpl>”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/modules/rnn.h(208): warning C4251: “torch::nn::detail::RNNImplBase<torch::nn::LSTMImpl>::cudnn_mode_”: class“c10::optional<torch::nn::detail::RNNImplBase<torch::nn::LSTMImpl>::CuDNNMode>”需要有 dll 接口由 class“torch::nn::detail::RNNImplBase<torch::nn::LSTMImpl>”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/modules/rnn.h(208): warning C4251: “torch::nn::detail::RNNImplBase<torch::nn::LSTMImpl>::flat_weights_”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::nn::detail::RNNImplBase<torch::nn::LSTMImpl>”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/modules/rnn.h(234): warning C4251: “torch::nn::detail::RNNImplBase<torch::nn::GRUImpl>::w_ih”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::nn::detail::RNNImplBase<torch::nn::GRUImpl>”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/modules/rnn.h(234): warning C4251: “torch::nn::detail::RNNImplBase<torch::nn::GRUImpl>::w_hh”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::nn::detail::RNNImplBase<torch::nn::GRUImpl>”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/modules/rnn.h(234): warning C4251: “torch::nn::detail::RNNImplBase<torch::nn::GRUImpl>::b_ih”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::nn::detail::RNNImplBase<torch::nn::GRUImpl>”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/modules/rnn.h(234): warning C4251: “torch::nn::detail::RNNImplBase<torch::nn::GRUImpl>::b_hh”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::nn::detail::RNNImplBase<torch::nn::GRUImpl>”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/modules/rnn.h(234): warning C4251: “torch::nn::detail::RNNImplBase<torch::nn::GRUImpl>::cudnn_mode_”: class“c10::optional<torch::nn::detail::RNNImplBase<torch::nn::GRUImpl>::CuDNNMode>”需要有 dll 接口由 class“torch::nn::detail::RNNImplBase<torch::nn::GRUImpl>”的客户端使用
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/modules/rnn.h(234): warning C4251: “torch::nn::detail::RNNImplBase<torch::nn::GRUImpl>::flat_weights_”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::nn::detail::RNNImplBase<torch::nn::GRUImpl>”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/modules/sequential.h(354): error C2580: “torch::nn::SequentialImpl::SequentialImpl(void)”: 不允许使用多个版本的有默认特殊成员函数
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/optimizer.h(83): warning C4251: “torch::optim::detail::OptimizerBase::parameters_”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::optim::detail::OptimizerBase”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/adagrad.h(28): warning C4275: 非 dll 接口 class“torch::optim::Optimizer”用作 dll 接口 class“torch::optim::Adagrad”的基
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/optimizer.h(100): note: 参见“torch::optim::Optimizer”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/adagrad.h(28): note: 参见“torch::optim::Adagrad”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/adagrad.h(44): warning C4251: “torch::optim::Adagrad::sum_buffers”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接 口由 class“torch::optim::Adagrad”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/adagrad.h(45): warning C4251: “torch::optim::Adagrad::step_buffers”: class“std::vector<int64_t,std::allocator<_Ty>>”需要有 dll 接口 由 class“torch::optim::Adagrad”的客户端使用
with
[
_Ty=int64_t
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/adam.h(31): warning C4275: 非 dll 接口 class“torch::optim::Optimizer”用作 dll 接口 class“torch::optim::Adam”的基
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/optimizer.h(100): note: 参见“torch::optim::Optimizer”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/adam.h(31): note: 参见“torch::optim::Adam”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/adam.h(45): warning C4251: “torch::optim::Adam::step_buffers”: class“std::vector<int64_t,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::optim::Adam”的客户端使用
with
[
_Ty=int64_t
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/adam.h(46): warning C4251: “torch::optim::Adam::exp_average_buffers”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::optim::Adam”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/adam.h(47): warning C4251: “torch::optim::Adam::exp_average_sq_buffers”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::optim::Adam”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/adam.h(48): warning C4251: “torch::optim::Adam::max_exp_average_sq_buffers”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要 有 dll 接口由 class“torch::optim::Adam”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/lbfgs.h(22): warning C4305: “初始化”: 从“double”到“float”截断
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/lbfgs.h(23): warning C4305: “初始化”: 从“double”到“float”截断
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/lbfgs.h(27): warning C4275: 非 dll 接口 class“torch::optim::LossClosureOptimizer”用作 dll 接口 class“torch::optim::LBFGS”的基
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/optimizer.h(110): note: 参见“torch::optim::LossClosureOptimizer”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/lbfgs.h(27): note: 参见“torch::optim::LBFGS”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/lbfgs.h(48): warning C4251: “torch::optim::LBFGS::ro”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::optim::LBFGS”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/lbfgs.h(49): warning C4251: “torch::optim::LBFGS::al”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::optim::LBFGS”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/lbfgs.h(50): warning C4251: “torch::optim::LBFGS::old_dirs”: class“std::deque<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::optim::LBFGS”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/lbfgs.h(51): warning C4251: “torch::optim::LBFGS::old_stps”: class“std::deque<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::optim::LBFGS”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/rmsprop.h(34): warning C4275: 非 dll 接口 class“torch::optim::Optimizer”用作 dll 接口 class“torch::optim::RMSprop”的基
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/optimizer.h(100): note: 参见“torch::optim::Optimizer”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/rmsprop.h(34): note: 参见“torch::optim::RMSprop”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/rmsprop.h(50): warning C4251: “torch::optim::RMSprop::square_average_buffers”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需 要有 dll 接口由 class“torch::optim::RMSprop”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/rmsprop.h(51): warning C4251: “torch::optim::RMSprop::momentum_buffers”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::optim::RMSprop”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/rmsprop.h(52): warning C4251: “torch::optim::RMSprop::grad_average_buffers”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要 有 dll 接口由 class“torch::optim::RMSprop”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/sgd.h(31): warning C4275: 非 dll 接口 class“torch::optim::Optimizer”用作 dll 接口 class“torch::optim::SGD”的基
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/optimizer.h(100): note: 参见“torch::optim::Optimizer”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/sgd.h(31): note: 参见“torch::optim::SGD”的声明
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/sgd.h(45): warning C4251: “torch::optim::SGD::momentum_buffers”: class“std::vector<at::Tensor,std::allocator<_Ty>>”需要有 dll 接口由 class“torch::optim::SGD”的客户端使用
with
[
_Ty=at::Tensor
]
e:\anaconda\envs\torchwithsparse\lib\site-packages\torch\include\pybind11\detail/common.h(71): fatal error C1189: #error: pybind11 requires MSVC 2015 update 3 or newer
error: command 'E:\\program files\\C#\\VC\\BIN\\x86_amd64\\cl.exe' failed with exit status 2
----------------------------------------
ERROR: Command "'e:\anaconda\envs\torchwithsparse\python.exe' -u -c 'import setuptools, tokenize;__file__='"'"'C:\\Users\\WANG\\AppData\\Local\\Temp\\pip-install-bkdrkgzk\\torch-scatter\\setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(__file__);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' install --record 'C:\Users\WANG\AppData\Local\Temp\pip-record-1lcov4qq\install-record.txt' --single-version-externally-managed --compile" failed with error code 1 in C:\Users\WANG\AppData\Local\Temp\pip-install-bkdrkgzk\torch-scatter\
Issue Analytics
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- Created 4 years ago
- Comments:10 (2 by maintainers)
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I am no Windows expert either, but updating the MSVC compiler is worth a try 😃
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