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Exceptions.cpp
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#include <torch/csrc/Exceptions.h>
#include <torch/csrc/python_headers.h>
#include <utility>
#include <vector>
#include <cstdarg>
#include <exception>
#include <torch/csrc/THP.h>
PyObject *THPException_FatalError;
#define ASSERT_TRUE(cond) if (!(cond)) return false
bool THPException_init(PyObject *module)
{
ASSERT_TRUE(THPException_FatalError = PyErr_NewException("torch.FatalError", nullptr, nullptr));
ASSERT_TRUE(PyModule_AddObject(module, "FatalError", THPException_FatalError) == 0);
return true;
}
namespace torch {
void replaceAll(std::string & str,
const std::string & old_str,
const std::string & new_str) {
std::string::size_type pos = 0u;
while ((pos = str.find(old_str, pos)) != std::string::npos) {
str.replace(pos, old_str.length(), new_str);
}
}
std::string processErrorMsg(std::string str) {
// Translate Aten types to their respective pytorch ones
std::vector<std::pair<std::string, std::string>> changes {
{"Variable[SparseCUDAByteType]", "torch.cuda.sparse.ByteTensor"},
{"Variable[SparseCUDACharType]", "torch.cuda.sparse.CharTensor"},
{"Variable[SparseCUDADoubleType]", "torch.cuda.sparse.DoubleTensor"},
{"Variable[SparseCUDAFloatType]", "torch.cuda.sparse.FloatTensor"},
{"Variable[SparseCUDAIntType]", "torch.cuda.sparse.IntTensor"},
{"Variable[SparseCUDALongType]", "torch.cuda.sparse.LongTensor"},
{"Variable[SparseCUDAShortType]", "torch.cuda.sparse.ShortTensor"},
{"Variable[SparseCUDAHalfType]", "torch.cuda.sparse.HalfTensor"},
{"Variable[SparseCPUByteType]", "torch.sparse.ByteTensor"},
{"Variable[SparseCPUCharType]", "torch.sparse.CharTensor"},
{"Variable[SparseCPUDoubleType]", "torch.sparse.DoubleTensor"},
{"Variable[SparseCPUFloatType]", "torch.sparse.FloatTensor"},
{"Variable[SparseCPUIntType]", "torch.sparse.IntTensor"},
{"Variable[SparseCPULongType]", "torch.sparse.LongTensor"},
{"Variable[SparseCPUShortType]", "torch.sparse.ShortTensor"},
{"Variable[SparseCPUHalfType]", "torch.sparse.HalfTensor"},
{"Variable[CUDAByteType]", "torch.cuda.ByteTensor"},
{"Variable[CUDACharType]", "torch.cuda.CharTensor"},
{"Variable[CUDADoubleType]", "torch.cuda.DoubleTensor"},
{"Variable[CUDAFloatType]", "torch.cuda.FloatTensor"},
{"Variable[CUDAIntType]", "torch.cuda.IntTensor"},
{"Variable[CUDALongType]", "torch.cuda.LongTensor"},
{"Variable[CUDAShortType]", "torch.cuda.ShortTensor"},
{"Variable[CUDAHalfType]", "torch.cuda.HalfTensor"},
{"Variable[CPUByteType]", "torch.ByteTensor"},
{"Variable[CPUCharType]", "torch.CharTensor"},
{"Variable[CPUDoubleType]", "torch.DoubleTensor"},
{"Variable[CPUFloatType]", "torch.FloatTensor"},
{"Variable[CPUIntType]", "torch.IntTensor"},
{"Variable[CPULongType]", "torch.LongTensor"},
{"Variable[CPUShortType]", "torch.ShortTensor"},
{"Variable[CPUHalfType]", "torch.HalfTensor"},
{"SparseCUDAByteType", "torch.cuda.sparse.ByteTensor"},
{"SparseCUDACharType", "torch.cuda.sparse.CharTensor"},
{"SparseCUDADoubleType", "torch.cuda.sparse.DoubleTensor"},
{"SparseCUDAFloatType", "torch.cuda.sparse.FloatTensor"},
{"SparseCUDAIntType", "torch.cuda.sparse.IntTensor"},
{"SparseCUDALongType", "torch.cuda.sparse.LongTensor"},
{"SparseCUDAShortType", "torch.cuda.sparse.ShortTensor"},
{"SparseCUDAHalfType", "torch.cuda.sparse.HalfTensor"},
{"SparseCPUByteType", "torch.sparse.ByteTensor"},
{"SparseCPUCharType", "torch.sparse.CharTensor"},
{"SparseCPUDoubleType", "torch.sparse.DoubleTensor"},
{"SparseCPUFloatType", "torch.sparse.FloatTensor"},
{"SparseCPUIntType", "torch.sparse.IntTensor"},
{"SparseCPULongType", "torch.sparse.LongTensor"},
{"SparseCPUShortType", "torch.sparse.ShortTensor"},
{"SparseCPUHalfType", "torch.sparse.HalfTensor"},
{"CUDAByteType", "torch.cuda.ByteTensor"},
{"CUDACharType", "torch.cuda.CharTensor"},
{"CUDADoubleType", "torch.cuda.DoubleTensor"},
{"CUDAFloatType", "torch.cuda.FloatTensor"},
{"CUDAIntType", "torch.cuda.IntTensor"},
{"CUDALongType", "torch.cuda.LongTensor"},
{"CUDAShortType", "torch.cuda.ShortTensor"},
{"CUDAHalfType", "torch.cuda.HalfTensor"},
{"CPUByteType", "torch.ByteTensor"},
{"CPUCharType", "torch.CharTensor"},
{"CPUDoubleType", "torch.DoubleTensor"},
{"CPUFloatType", "torch.FloatTensor"},
{"CPUIntType", "torch.IntTensor"},
{"CPULongType", "torch.LongTensor"},
{"CPUShortType", "torch.ShortTensor"},
{"CPUHalfType", "torch.HalfTensor"},
};
for (const auto & it : changes) {
replaceAll(str, it.first, it.second);
}
return str;
}
static std::string formatMessage(const char *format, va_list fmt_args) {
static const size_t ERROR_BUF_SIZE = 1024;
char error_buf[ERROR_BUF_SIZE];
vsnprintf(error_buf, ERROR_BUF_SIZE, format, fmt_args);
// Ensure that the string is null terminated
error_buf[sizeof(error_buf) / sizeof(*error_buf) - 1] = 0;
return std::string(error_buf);
}
IndexError::IndexError(const char *format, ...) {
va_list fmt_args;
va_start(fmt_args, format);
msg = formatMessage(format, fmt_args);
va_end(fmt_args);
}
TypeError::TypeError(const char *format, ...) {
va_list fmt_args;
va_start(fmt_args, format);
msg = formatMessage(format, fmt_args);
va_end(fmt_args);
}
ValueError::ValueError(const char *format, ...) {
va_list fmt_args;
va_start(fmt_args, format);
msg = formatMessage(format, fmt_args);
va_end(fmt_args);
}
void PyWarningHandler::process(
const c10::SourceLocation& source_location,
const std::string& msg) {
warning_buffer_.push_back({source_location, msg});
};
PyWarningHandler::PyWarningHandler() noexcept(true):
prev_handler_(c10::Warning::get_warning_handler()),
in_exception_(false) {
c10::Warning::set_warning_handler(this);
}
/// See NOTE [ Conversion Cpp Python Warning ] for noexcept justification
/// NOLINTNEXTLINE(bugprone-exception-escape)
PyWarningHandler::~PyWarningHandler() noexcept(false) {
c10::Warning::set_warning_handler(prev_handler_);
if(warning_buffer_.size() > 0) {
if(in_exception_) {
// An error happened after the warning
// Simply handle with the previous handler
for(const auto& warning: warning_buffer_) {
auto source_location = warning.first;
const auto& msg = processErrorMsg(warning.second);
c10::Warning::warn(source_location, msg);
}
warning_buffer_.clear();
} else {
pybind11::gil_scoped_acquire gil;
auto result = 0;
for(const auto& warning: warning_buffer_) {
auto source_location = warning.first;
const auto& msg = processErrorMsg(warning.second);
if (source_location.file == nullptr) {
result = PyErr_WarnEx(PyExc_RuntimeWarning, msg.c_str(), 1);
} else {
result = PyErr_WarnExplicit(
/*category=*/PyExc_UserWarning,
/*message=*/msg.c_str(),
/*filename=*/source_location.file,
/*lineno=*/source_location.line,
/*module=*/nullptr,
/*registry=*/nullptr);
}
if (result < 0) {
break;
}
}
warning_buffer_.clear();
if (result < 0) {
/// A warning raised an error, we need to force the parent
/// function to return an error code.
throw python_error();
}
}
}
}
} // namespace torch