ai-content-maker/.venv/Lib/site-packages/torch/include/c10/util/Exception.h

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#ifndef C10_UTIL_EXCEPTION_H_
#define C10_UTIL_EXCEPTION_H_
#include <c10/macros/Export.h>
#include <c10/macros/Macros.h>
#include <c10/util/StringUtil.h>
#include <cstdint>
#include <exception>
#include <string>
#include <variant>
#include <vector>
#if defined(_MSC_VER) && _MSC_VER <= 1900
#define __func__ __FUNCTION__
#endif
namespace c10 {
/// The primary ATen error class.
/// Provides a complete error message with source location information via
/// `what()`, and a more concise message via `what_without_backtrace()`.
/// Don't throw this directly; use TORCH_CHECK/TORCH_INTERNAL_ASSERT instead.
///
/// NB: c10::Error is handled specially by the default torch to suppress the
/// backtrace, see torch/csrc/Exceptions.h
class C10_API Error : public std::exception {
// The actual error message.
std::string msg_;
// Context for the message (in order of decreasing specificity). Context will
// be automatically formatted appropriately, so it is not necessary to add
// extra leading/trailing newlines to strings inside this vector
std::vector<std::string> context_;
// The C++ backtrace at the point when this exception was raised. This
// may be empty if there is no valid backtrace. (We don't use optional
// here to reduce the dependencies this file has.)
std::string backtrace_;
// These two are derived fields from msg_stack_ and backtrace_, but we need
// fields for the strings so that we can return a const char* (as the
// signature of std::exception requires). Currently, the invariant
// is that these fields are ALWAYS populated consistently with respect
// to msg_stack_ and backtrace_.
std::string what_;
std::string what_without_backtrace_;
// This is a little debugging trick: you can stash a relevant pointer
// in caller, and then when you catch the exception, you can compare
// against pointers you have on hand to get more information about
// where the exception came from. In Caffe2, this is used to figure
// out which operator raised an exception.
const void* caller_;
public:
// PyTorch-style Error constructor. NB: the implementation of this
// is actually in Logging.cpp
Error(SourceLocation source_location, std::string msg);
// Caffe2-style error message
Error(
const char* file,
const uint32_t line,
const char* condition,
const std::string& msg,
const std::string& backtrace,
const void* caller = nullptr);
// Base constructor
Error(std::string msg, std::string backtrace, const void* caller = nullptr);
// Add some new context to the message stack. The last added context
// will be formatted at the end of the context list upon printing.
// WARNING: This method is O(n) in the size of the stack, so don't go
// wild adding a ridiculous amount of context to error messages.
void add_context(std::string msg);
const std::string& msg() const {
return msg_;
}
const std::vector<std::string>& context() const {
return context_;
}
const std::string& backtrace() const {
return backtrace_;
}
/// Returns the complete error message, including the source location.
/// The returned pointer is invalidated if you call add_context() on
/// this object.
const char* what() const noexcept override {
return what_.c_str();
}
const void* caller() const noexcept {
return caller_;
}
/// Returns only the error message string, without source location.
/// The returned pointer is invalidated if you call add_context() on
/// this object.
virtual const char* what_without_backtrace() const noexcept {
return what_without_backtrace_.c_str();
}
private:
void refresh_what();
std::string compute_what(bool include_backtrace) const;
};
class C10_API Warning {
public:
class C10_API UserWarning {};
class C10_API DeprecationWarning {};
using warning_variant_t = std::variant<UserWarning, DeprecationWarning>;
Warning(
warning_variant_t type,
const SourceLocation& source_location,
std::string msg,
bool verbatim);
Warning(
warning_variant_t type,
SourceLocation source_location,
const char* msg,
bool verbatim);
Warning(
warning_variant_t type,
SourceLocation source_location,
::c10::detail::CompileTimeEmptyString msg,
bool verbatim);
// Getters for members
warning_variant_t type() const;
const SourceLocation& source_location() const;
const std::string& msg() const;
bool verbatim() const;
private:
// The type of warning
warning_variant_t type_;
// Where the warning happened.
SourceLocation source_location_;
// The actual warning message.
std::string msg_;
// See note: [Verbatim Warnings]
bool verbatim_;
};
using UserWarning = Warning::UserWarning;
using DeprecationWarning = Warning::DeprecationWarning;
// Issue a warning with a given message. Dispatched to the current
// warning handler.
void C10_API warn(const Warning& warning);
class C10_API WarningHandler {
public:
virtual ~WarningHandler() = default;
/// The default warning handler. Prints the message to stderr.
virtual void process(const Warning& warning);
};
namespace WarningUtils {
// Note: [Verbatim Warnings]
// Warnings originating in C++ code can appear out-of-place to Python users:
// a user runs a line in Python, but the warning references a line in C++.
// Some parts of PyTorch, like the JIT, are cognizant of this mismatch
// and take care to map warnings back to the user's program, but most
// of PyTorch simply throws a context-free warning. To allow warning
// handlers to add context where appropriate, warn takes the
// "verbatim" flag. When this is false a warning handler might append
// the C++ warning to a Python warning message that relates the warning
// back to the user's program. Callers who have already accounted for
// context in their warnings should set verbatim to true so their warnings
// appear without modification.
/// Sets the global warning handler. This is not thread-safe, so it should
/// generally be called once during initialization or while holding the GIL
/// for programs that use python.
/// User is responsible for keeping the WarningHandler alive until
/// it is not needed.
C10_API void set_warning_handler(WarningHandler* handler) noexcept(true);
/// Gets the global warning handler.
C10_API WarningHandler* get_warning_handler() noexcept(true);
class C10_API WarningHandlerGuard {
WarningHandler* prev_handler_;
public:
WarningHandlerGuard(WarningHandler* new_handler)
: prev_handler_(c10::WarningUtils::get_warning_handler()) {
c10::WarningUtils::set_warning_handler(new_handler);
}
~WarningHandlerGuard() {
c10::WarningUtils::set_warning_handler(prev_handler_);
}
};
/// The TORCH_WARN_ONCE macro is difficult to test for. Use
/// setWarnAlways(true) to turn it into TORCH_WARN, which can be
/// tested for more easily.
C10_API void set_warnAlways(bool) noexcept(true);
C10_API bool get_warnAlways() noexcept(true);
// A RAII guard that sets warn_always (not thread-local) on
// construction, and sets it back to the original value upon destruction.
struct C10_API WarnAlways {
public:
explicit WarnAlways(bool setting = true);
~WarnAlways();
private:
bool prev_setting;
};
} // namespace WarningUtils
// Like Error, but we always report the C++ backtrace, instead of only
// reporting when TORCH_SHOW_CPP_STACKTRACES
class C10_API ErrorAlwaysShowCppStacktrace : public Error {
using Error::Error;
const char* what_without_backtrace() const noexcept override {
return what();
}
};
// Used in ATen for out-of-bound indices that can reasonably only be detected
// lazily inside a kernel (See: advanced indexing). These turn into
// IndexError when they cross to Python.
class C10_API IndexError : public Error {
using Error::Error;
};
// Used in ATen for invalid values. These turn into
// ValueError when they cross to Python.
class C10_API ValueError : public Error {
using Error::Error;
};
// Used in ATen for invalid types. These turn into
// TypeError when they cross to Python.
class C10_API TypeError : public Error {
using Error::Error;
};
// Used in ATen for functionality that is not implemented. These turn into
// NotImplementedError when they cross to Python.
class C10_API NotImplementedError : public Error {
using Error::Error;
};
// Used in ATen for non finite indices. These turn into
// ExitException when they cross to Python.
class C10_API EnforceFiniteError : public Error {
using Error::Error;
};
// Used in Onnxifi backend lowering. These turn into
// ExitException when they cross to Python.
class C10_API OnnxfiBackendSystemError : public Error {
using Error::Error;
};
// Used for numerical errors from the linalg module. These
// turn into LinAlgError when they cross into Python.
class C10_API LinAlgError : public Error {
using Error::Error;
};
class C10_API OutOfMemoryError : public Error {
using Error::Error;
};
// Base error type for all distributed errors.
// These turn into DistError when they cross into Python.
class C10_API DistError : public Error {
using Error::Error;
};
// Used for collective communication library errors from the distributed module.
// These turn into DistBackendError when they cross into Python.
class C10_API DistBackendError : public DistError {
using DistError::DistError;
};
// Used for errors originating from the store.
// These turn into DistStoreError when they cross into Python.
class C10_API DistStoreError : public DistError {
using DistError::DistError;
};
// Used for errors originating from the TCP/IP stack and not from collective
// libraries. These turn into DistNetworkError when they cross into Python.
class C10_API DistNetworkError : public DistError {
using DistError::DistError;
};
// A utility function to return an exception std::string by prepending its
// exception type before its what() content
C10_API std::string GetExceptionString(const std::exception& e);
} // namespace c10
// Private helper macro for implementing TORCH_INTERNAL_ASSERT and TORCH_CHECK
//
// Note: In the debug build With MSVC, __LINE__ might be of long type (a.k.a
// int32_t), which is different from the definition of `SourceLocation` that
// requires unsigned int (a.k.a uint32_t) and may cause a compile error with the
// message: error C2397: conversion from 'long' to 'uint32_t' requires a
// narrowing conversion Here the static cast is used to pass the build. if this
// is used inside a lambda the __func__ macro expands to operator(), which isn't
// very useful, but hard to fix in a macro so suppressing the warning.
#define C10_THROW_ERROR(err_type, msg) \
throw ::c10::err_type( \
{__func__, __FILE__, static_cast<uint32_t>(__LINE__)}, msg)
#define C10_BUILD_ERROR(err_type, msg) \
::c10::err_type({__func__, __FILE__, static_cast<uint32_t>(__LINE__)}, msg)
// Private helper macro for workaround MSVC misexpansion of nested macro
// invocations involving __VA_ARGS__. See
// https://stackoverflow.com/questions/5134523/msvc-doesnt-expand-va-args-correctly
#define C10_EXPAND_MSVC_WORKAROUND(x) x
// On nvcc, C10_UNLIKELY thwarts missing return statement analysis. In cases
// where the unlikely expression may be a constant, use this macro to ensure
// return statement analysis keeps working (at the cost of not getting the
// likely/unlikely annotation on nvcc).
// https://github.com/pytorch/pytorch/issues/21418
//
// Currently, this is only used in the error reporting macros below. If you
// want to use it more generally, move me to Macros.h
//
// TODO: Brian Vaughan observed that we might be able to get this to work on
// nvcc by writing some sort of C++ overload that distinguishes constexpr inputs
// from non-constexpr. Since there isn't any evidence that losing C10_UNLIKELY
// in nvcc is causing us perf problems, this is not yet implemented, but this
// might be an interesting piece of C++ code for an intrepid bootcamper to
// write.
#if defined(__CUDACC__)
#define C10_UNLIKELY_OR_CONST(e) e
#else
#define C10_UNLIKELY_OR_CONST(e) C10_UNLIKELY(e)
#endif
// ----------------------------------------------------------------------------
// Error reporting macros
// ----------------------------------------------------------------------------
#ifdef STRIP_ERROR_MESSAGES
#define TORCH_RETHROW(e, ...) throw
#else
#define TORCH_RETHROW(e, ...) \
do { \
e.add_context(::c10::str(__VA_ARGS__)); \
throw; \
} while (false)
#endif
// A utility macro to provide assert()-like functionality; that is, enforcement
// of internal invariants in code. It supports an arbitrary number of extra
// arguments (evaluated only on failure), which will be printed in the assert
// failure message using operator<< (this is useful to print some variables
// which may be useful for debugging.)
//
// Usage:
// TORCH_INTERNAL_ASSERT(should_be_true);
// TORCH_INTERNAL_ASSERT(x == 0, "x = ", x);
//
// Assuming no bugs in PyTorch, the conditions tested by this macro should
// always be true; e.g., it should be possible to disable all of these
// conditions without changing observable user behavior. If you would like to
// do error reporting for user input, please use TORCH_CHECK instead.
//
// NOTE: It is SAFE to use this macro in production code; on failure, this
// simply raises an exception, it does NOT unceremoniously quit the process
// (unlike assert()).
//
#ifdef STRIP_ERROR_MESSAGES
#define TORCH_INTERNAL_ASSERT(cond, ...) \
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
::c10::detail::torchCheckFail( \
__func__, \
__FILE__, \
static_cast<uint32_t>(__LINE__), \
#cond " INTERNAL ASSERT FAILED at " C10_STRINGIZE(__FILE__)); \
}
#else
// It would be nice if we could build a combined string literal out of
// the TORCH_INTERNAL_ASSERT prefix and a user-provided string literal
// as the first argument, but there doesn't seem to be any good way to
// do that while still supporting having a first argument that isn't a
// string literal.
#define TORCH_INTERNAL_ASSERT(cond, ...) \
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
::c10::detail::torchInternalAssertFail( \
__func__, \
__FILE__, \
static_cast<uint32_t>(__LINE__), \
#cond \
" INTERNAL ASSERT FAILED at " C10_STRINGIZE(__FILE__) ":" C10_STRINGIZE( \
__LINE__) ", please report a bug to PyTorch. ", \
c10::str(__VA_ARGS__)); \
}
#endif
// A utility macro to make it easier to test for error conditions from user
// input. Like TORCH_INTERNAL_ASSERT, it supports an arbitrary number of extra
// arguments (evaluated only on failure), which will be printed in the error
// message using operator<< (e.g., you can pass any object which has
// operator<< defined. Most objects in PyTorch have these definitions!)
//
// Usage:
// TORCH_CHECK(should_be_true); // A default error message will be provided
// // in this case; but we recommend writing an
// // explicit error message, as it is more
// // user friendly.
// TORCH_CHECK(x == 0, "Expected x to be 0, but got ", x);
//
// On failure, this macro will raise an exception. If this exception propagates
// to Python, it will convert into a Python RuntimeError.
//
// NOTE: It is SAFE to use this macro in production code; on failure, this
// simply raises an exception, it does NOT unceremoniously quit the process
// (unlike CHECK() from glog.)
//
#define TORCH_CHECK_WITH(error_t, cond, ...) \
TORCH_CHECK_WITH_MSG(error_t, cond, "", __VA_ARGS__)
#ifdef STRIP_ERROR_MESSAGES
#define TORCH_CHECK_MSG(cond, type, ...) \
(#cond #type " CHECK FAILED at " C10_STRINGIZE(__FILE__))
#define TORCH_CHECK_WITH_MSG(error_t, cond, type, ...) \
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
C10_THROW_ERROR(Error, TORCH_CHECK_MSG(cond, type, __VA_ARGS__)); \
}
#else
namespace c10::detail {
template <typename... Args>
decltype(auto) torchCheckMsgImpl(const char* /*msg*/, const Args&... args) {
return ::c10::str(args...);
}
inline C10_API const char* torchCheckMsgImpl(const char* msg) {
return msg;
}
// If there is just 1 user-provided C-string argument, use it.
inline C10_API const char* torchCheckMsgImpl(
const char* /*msg*/,
const char* args) {
return args;
}
} // namespace c10::detail
#define TORCH_CHECK_MSG(cond, type, ...) \
(::c10::detail::torchCheckMsgImpl( \
"Expected " #cond \
" to be true, but got false. " \
"(Could this error message be improved? If so, " \
"please report an enhancement request to PyTorch.)", \
##__VA_ARGS__))
#define TORCH_CHECK_WITH_MSG(error_t, cond, type, ...) \
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
C10_THROW_ERROR(error_t, TORCH_CHECK_MSG(cond, type, __VA_ARGS__)); \
}
#endif
namespace c10::detail {
[[noreturn]] C10_API void torchCheckFail(
const char* func,
const char* file,
uint32_t line,
const std::string& msg);
[[noreturn]] C10_API void torchCheckFail(
const char* func,
const char* file,
uint32_t line,
const char* msg);
// The c10::str() call that creates userMsg can have 1 of 3 return
// types depending on the number and types of arguments passed to
// TORCH_INTERNAL_ASSERT. 0 arguments will get a
// CompileTimeEmptyString, 1 const char * will be passed straight
// through, and anything else will get converted to std::string.
[[noreturn]] C10_API void torchInternalAssertFail(
const char* func,
const char* file,
uint32_t line,
const char* condMsg,
const char* userMsg);
[[noreturn]] inline C10_API void torchInternalAssertFail(
const char* func,
const char* file,
uint32_t line,
const char* condMsg,
::c10::detail::CompileTimeEmptyString /*userMsg*/) {
torchCheckFail(func, file, line, condMsg);
}
[[noreturn]] C10_API void torchInternalAssertFail(
const char* func,
const char* file,
uint32_t line,
const char* condMsg,
const std::string& userMsg);
} // namespace c10::detail
#ifdef STRIP_ERROR_MESSAGES
#define TORCH_CHECK(cond, ...) \
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
::c10::detail::torchCheckFail( \
__func__, \
__FILE__, \
static_cast<uint32_t>(__LINE__), \
TORCH_CHECK_MSG(cond, "", __VA_ARGS__)); \
}
#else
#define TORCH_CHECK(cond, ...) \
if (C10_UNLIKELY_OR_CONST(!(cond))) { \
::c10::detail::torchCheckFail( \
__func__, \
__FILE__, \
static_cast<uint32_t>(__LINE__), \
TORCH_CHECK_MSG(cond, "", ##__VA_ARGS__)); \
}
#endif
// An utility macro that does what `TORCH_CHECK` does if compiled in the host
// code, otherwise does nothing. Supposed to be used in the code shared between
// host and device code as an alternative for `TORCH_CHECK`.
#if defined(__CUDACC__) || defined(__HIPCC__)
#define TORCH_CHECK_IF_NOT_ON_CUDA(cond, ...)
#else
#define TORCH_CHECK_IF_NOT_ON_CUDA(cond, ...) TORCH_CHECK(cond, ##__VA_ARGS__)
#endif
// Debug only version of TORCH_INTERNAL_ASSERT. This macro only checks in debug
// build, and does nothing in release build. It is appropriate to use
// in situations where you want to add an assert to a hotpath, but it is
// too expensive to run this assert on production builds.
#ifdef NDEBUG
// Optimized version - generates no code.
#define TORCH_INTERNAL_ASSERT_DEBUG_ONLY(...) \
while (false) \
C10_EXPAND_MSVC_WORKAROUND(TORCH_INTERNAL_ASSERT(__VA_ARGS__))
#else
#define TORCH_INTERNAL_ASSERT_DEBUG_ONLY(...) \
C10_EXPAND_MSVC_WORKAROUND(TORCH_INTERNAL_ASSERT(__VA_ARGS__))
#endif
// TODO: We're going to get a lot of similar looking string literals
// this way; check if this actually affects binary size.
// Like TORCH_CHECK, but raises LinAlgError instead of Error.
#define TORCH_CHECK_LINALG(cond, ...) \
TORCH_CHECK_WITH_MSG(LinAlgError, cond, "LINALG", __VA_ARGS__)
// Like TORCH_CHECK, but raises IndexErrors instead of Errors.
#define TORCH_CHECK_INDEX(cond, ...) \
TORCH_CHECK_WITH_MSG(IndexError, cond, "INDEX", __VA_ARGS__)
// Like TORCH_CHECK, but raises ValueErrors instead of Errors.
#define TORCH_CHECK_VALUE(cond, ...) \
TORCH_CHECK_WITH_MSG(ValueError, cond, "VALUE", __VA_ARGS__)
// Like TORCH_CHECK, but raises TypeErrors instead of Errors.
#define TORCH_CHECK_TYPE(cond, ...) \
TORCH_CHECK_WITH_MSG(TypeError, cond, "TYPE", __VA_ARGS__)
// Like TORCH_CHECK, but raises NotImplementedErrors instead of Errors.
#define TORCH_CHECK_NOT_IMPLEMENTED(cond, ...) \
TORCH_CHECK_WITH_MSG(NotImplementedError, cond, "TYPE", __VA_ARGS__)
#define TORCH_CHECK_ALWAYS_SHOW_CPP_STACKTRACE(cond, ...) \
TORCH_CHECK_WITH_MSG( \
ErrorAlwaysShowCppStacktrace, cond, "TYPE", ##__VA_ARGS__)
#ifdef STRIP_ERROR_MESSAGES
#define WARNING_MESSAGE_STRING(...) \
::c10::detail::CompileTimeEmptyString {}
#else
#define WARNING_MESSAGE_STRING(...) ::c10::str(__VA_ARGS__)
#endif
// Report a warning to the user. Accepts an arbitrary number of extra
// arguments which are concatenated into the warning message using operator<<
//
#ifdef DISABLE_WARN
#define _TORCH_WARN_WITH(...) ((void)0);
#else
#define _TORCH_WARN_WITH(warning_t, ...) \
::c10::warn(::c10::Warning( \
warning_t(), \
{__func__, __FILE__, static_cast<uint32_t>(__LINE__)}, \
WARNING_MESSAGE_STRING(__VA_ARGS__), \
false));
#endif
#define TORCH_WARN(...) _TORCH_WARN_WITH(::c10::UserWarning, __VA_ARGS__);
#define TORCH_WARN_DEPRECATION(...) \
_TORCH_WARN_WITH(::c10::DeprecationWarning, __VA_ARGS__);
// Report a warning to the user only once. Accepts an arbitrary number of extra
// arguments which are concatenated into the warning message using operator<<
//
#define _TORCH_WARN_ONCE(...) \
C10_UNUSED static const auto C10_ANONYMOUS_VARIABLE(torch_warn_once_) = \
[&] { \
TORCH_WARN(__VA_ARGS__); \
return true; \
}()
#ifdef DISABLE_WARN
#define TORCH_WARN_ONCE(...) ((void)0);
#else
#define TORCH_WARN_ONCE(...) \
if (::c10::WarningUtils::get_warnAlways()) { \
TORCH_WARN(__VA_ARGS__); \
} else { \
_TORCH_WARN_ONCE(__VA_ARGS__); \
}
#endif
// Report an error with a specific argument
// NOTE: using the argument name in TORCH_CHECK's message is preferred
#define TORCH_CHECK_ARG(cond, argN, ...) \
TORCH_CHECK(cond, "invalid argument ", argN, ": ", __VA_ARGS__)
// ----------------------------------------------------------------------------
// Deprecated macros
// ----------------------------------------------------------------------------
namespace c10::detail {
/*
// Deprecation disabled until we fix sites in our codebase
C10_DEPRECATED_MESSAGE("AT_ERROR(msg) is deprecated, use TORCH_CHECK(false, msg)
instead.")
*/
inline void deprecated_AT_ERROR() {}
/*
// Deprecation disabled until we fix sites in our codebase
C10_DEPRECATED_MESSAGE("AT_ASSERT is deprecated, if you mean to indicate an
internal invariant failure, use " \
"TORCH_INTERNAL_ASSERT instead; if you mean to do user
error checking, use " \ "TORCH_CHECK. See
https://github.com/pytorch/pytorch/issues/20287 for more details.")
*/
inline void deprecated_AT_ASSERT() {}
/*
// Deprecation disabled until we fix sites in our codebase
C10_DEPRECATED_MESSAGE("AT_ASSERTM is deprecated, if you mean to indicate an
internal invariant failure, use " \
"TORCH_INTERNAL_ASSERT instead; if you mean to do user
error checking, use " \ "TORCH_CHECK. See
https://github.com/pytorch/pytorch/issues/20287 for more details.")
*/
inline void deprecated_AT_ASSERTM() {}
} // namespace c10::detail
// Deprecated alias; this alias was deprecated because people kept mistakenly
// using it for user error checking. Use TORCH_INTERNAL_ASSERT or TORCH_CHECK
// instead. See https://github.com/pytorch/pytorch/issues/20287 for more
// details.
#define AT_ASSERT(...) \
do { \
::c10::detail::deprecated_AT_ASSERT(); \
C10_EXPAND_MSVC_WORKAROUND(TORCH_INTERNAL_ASSERT(__VA_ARGS__)); \
} while (false)
// Deprecated alias, like AT_ASSERT. The new TORCH_INTERNAL_ASSERT macro
// supports both 0-ary and variadic calls, so having a separate
// message-accepting macro is not necessary.
//
// NB: we MUST include cond explicitly here, as MSVC will miscompile the macro
// expansion, shunting all of __VA_ARGS__ to cond. An alternate workaround
// can be seen at
// https://stackoverflow.com/questions/5134523/msvc-doesnt-expand-va-args-correctly
#define AT_ASSERTM(cond, ...) \
do { \
::c10::detail::deprecated_AT_ASSERTM(); \
C10_EXPAND_MSVC_WORKAROUND(TORCH_INTERNAL_ASSERT(cond, __VA_ARGS__)); \
} while (false)
// Deprecated alias; this alias was deprecated because it represents extra API
// surface that makes it hard for people to understand what macro to use.
// Use TORCH_CHECK(false, ...) or TORCH_INTERNAL_ASSERT(false, ...) to
// unconditionally fail at a line of code.
#define AT_ERROR(...) \
do { \
::c10::detail::deprecated_AT_ERROR(); \
C10_EXPAND_MSVC_WORKAROUND(TORCH_CHECK(false, ::c10::str(__VA_ARGS__))); \
} while (false)
#endif // C10_UTIL_EXCEPTION_H_