| #include <Python.h> |
| |
| #include <utility> |
| #include <vector> |
| #include <cstdarg> |
| |
| #include "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", NULL, NULL)); |
| 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 { |
| {"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); |
| 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); |
| } |
| |
| } // namespace torch |