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eca7fa35a4
Summary: building with cuda and gcc 4.8.5-28, we see many warnings like: [893/1645] Building NVCC (Device) object caffe2/CMakeFiles/caffe2_gpu.dir/__/aten/src/THCUNN/caffe2_gpu_generated_ELU.cu.o /home/bvaughan/repos/pytorch/c10/util/ArrayRef.h:277:48: warning: ‘deprecated’ attribute directive ignored [-Wattributes] using IntList C10_DEPRECATED_USING = ArrayRef<int64_t>; This change prevents those warnings on the older compiler. Pull Request resolved: https://github.com/pytorch/pytorch/pull/20587 Differential Revision: D15432749 Pulled By: nairbv fbshipit-source-id: fd707afcbd6564f96617378d7cd6d62d941a052b
84 lines
2.7 KiB
C++
84 lines
2.7 KiB
C++
#pragma once
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/**
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* This file provides portable macros for marking declarations
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* as deprecated. You should generally use C10_DEPRECATED,
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* except when marking 'using' declarations as deprecated,
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* in which case you should use C10_DEPRECATED_USING (due to
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* portability concerns).
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*/
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// Sample usage:
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//
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// C10_DEPRECATED void bad_func();
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// struct C10_DEPRECATED BadStruct {
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// ...
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// };
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// NB: In PyTorch, this block is not actually used at the moment
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// because we are C++11. However, aspirationally, we would like
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// to use this version, because as of C++14 it is the correct and
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// portable way to declare something deprecated.
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#if defined(__cplusplus) && __cplusplus >= 201402L
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# define C10_DEPRECATED [[deprecated]]
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# define C10_DEPRECATED_MESSAGE(message) [[deprecated(message)]]
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#elif defined(__GNUC__)
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# define C10_DEPRECATED __attribute__((deprecated))
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// TODO: is there some way to implement this?
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# define C10_DEPRECATED_MESSAGE(message) __attribute__((deprecated))
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#elif defined(_MSC_VER)
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# define C10_DEPRECATED __declspec(deprecated)
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// TODO: is there some way to implement this?
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# define C10_DEPRECATED_MESSAGE(message) __declspec(deprecated)
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#else
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# warning "You need to implement C10_DEPRECATED for this compiler"
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# define C10_DEPRECATED
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#endif
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// Sample usage:
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//
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// using BadType C10_DEPRECATED_USING = int;
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// technically [[deprecated]] syntax is from c++14 standard, but it works in
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// many compilers.
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#if defined(__has_cpp_attribute)
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#if __has_cpp_attribute(deprecated)
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# define C10_DEPRECATED_USING [[deprecated]]
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#endif
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#endif
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#if !defined(C10_DEPRECATED_USING) && defined(_MSC_VER)
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#if defined(__CUDACC__)
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// [[deprecated]] doesn't work on nvcc on Windows;
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// you get the error:
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//
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// error: attribute does not apply to any entity
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//
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// So we just turn the macro off in this case.
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# define C10_DEPRECATED_USING
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#else
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// [[deprecated]] does work in windows without nvcc, though msc doesn't support
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// `__has_cpp_attribute`.
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# define C10_DEPRECATED_USING [[deprecated]]
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#endif
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#endif
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#if !defined(C10_DEPRECATED_USING) && defined(__GNUC__)
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// nvcc has a bug where it doesn't understand __attribute__((deprecated))
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// declarations even when the host compiler supports it. We'll only use this gcc
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// attribute when not cuda, and when using a GCC compiler that doesn't support
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// the c++14 syntax we checked for above (availble in __GNUC__ >= 5)
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#if !defined(__CUDACC__)
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# define C10_DEPRECATED_USING __attribute__((deprecated))
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#else
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// using cuda + gcc < 5, neither deprecated syntax is available so turning off.
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# define C10_DEPRECATED_USING
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#endif
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#endif
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#if ! defined(C10_DEPRECATED_USING)
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# warning "You need to implement C10_DEPRECATED_USING for this compiler"
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# define C10_DEPRECATED_USING
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#endif
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