Files
pytorch/torch/csrc/jit/tensorexpr/exceptions.h
Yuanyuan Chen 36871622f1 [2/N] Mark unused parameters in C++ code (#165121)
This is follow-up of #164912 to mark unused C++ parameters to improve code readability.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/165121
Approved by: https://github.com/Skylion007
2025-10-15 03:04:39 +00:00

86 lines
3.1 KiB
C++

#pragma once
#include <torch/csrc/Export.h>
#include <torch/csrc/jit/tensorexpr/fwd_decls.h>
#include <stdexcept>
// Forward declarations of types
namespace torch::jit::tensorexpr {
class Expr;
class Stmt;
} // namespace torch::jit::tensorexpr
// Forward declarations of functions
namespace std {
TORCH_API std::string to_string(
const torch::jit::tensorexpr::ExprPtr& /*expr*/);
TORCH_API std::string to_string(
const torch::jit::tensorexpr::StmtPtr& /*stmt*/);
} // namespace std
namespace torch::jit::tensorexpr {
class unsupported_dtype : public std::runtime_error {
public:
explicit unsupported_dtype() : std::runtime_error("UNSUPPORTED DTYPE") {}
explicit unsupported_dtype(const std::string& err)
: std::runtime_error("UNSUPPORTED DTYPE: " + err) {}
};
class out_of_range_index : public std::runtime_error {
public:
explicit out_of_range_index() : std::runtime_error("OUT OF RANGE INDEX") {}
explicit out_of_range_index(const std::string& err)
: std::runtime_error("OUT OF RANGE INDEX: " + err) {}
};
class unimplemented_lowering : public std::runtime_error {
public:
explicit unimplemented_lowering()
: std::runtime_error("UNIMPLEMENTED LOWERING") {}
explicit unimplemented_lowering(const ExprPtr& expr)
: std::runtime_error("UNIMPLEMENTED LOWERING: " + std::to_string(expr)) {}
explicit unimplemented_lowering(const StmtPtr& stmt)
: std::runtime_error("UNIMPLEMENTED LOWERING: " + std::to_string(stmt)) {}
};
class malformed_input : public std::runtime_error {
public:
explicit malformed_input() : std::runtime_error("MALFORMED INPUT") {}
explicit malformed_input(const std::string& err)
: std::runtime_error("MALFORMED INPUT: " + err) {}
explicit malformed_input(const ExprPtr& expr)
: std::runtime_error("MALFORMED INPUT: " + std::to_string(expr)) {}
explicit malformed_input(const std::string& err, const ExprPtr& expr)
: std::runtime_error(
"MALFORMED INPUT: " + err + " - " + std::to_string(expr)) {}
explicit malformed_input(const StmtPtr& stmt)
: std::runtime_error("MALFORMED INPUT: " + std::to_string(stmt)) {}
explicit malformed_input(const std::string& err, const StmtPtr& stmt)
: std::runtime_error(
"MALFORMED INPUT: " + err + " - " + std::to_string(stmt)) {}
};
class malformed_ir : public std::runtime_error {
public:
explicit malformed_ir() : std::runtime_error("MALFORMED IR") {}
explicit malformed_ir(const std::string& err)
: std::runtime_error("MALFORMED IR: " + err) {}
explicit malformed_ir(const ExprPtr& expr)
: std::runtime_error("MALFORMED IR: " + std::to_string(expr)) {}
explicit malformed_ir(const std::string& err, const ExprPtr& expr)
: std::runtime_error(
"MALFORMED IR: " + err + " - " + std::to_string(expr)) {}
explicit malformed_ir(const StmtPtr& stmt)
: std::runtime_error("MALFORMED IR: " + std::to_string(stmt)) {}
explicit malformed_ir(const std::string& err, const StmtPtr& stmt)
: std::runtime_error(
"MALFORMED IR: " + err + " - " + std::to_string(stmt)) {}
};
TORCH_API std::string buildErrorMessage(const std::string& s = "");
} // namespace torch::jit::tensorexpr