| #include <torch/csrc/utils/invalid_arguments.h> |
| |
| #include <torch/csrc/utils/python_strings.h> |
| |
| #include <c10/util/irange.h> |
| |
| #include <algorithm> |
| #include <memory> |
| #include <unordered_map> |
| |
| namespace torch { |
| |
| namespace { |
| |
| std::string py_typename(PyObject* object) { |
| return Py_TYPE(object)->tp_name; |
| } |
| |
| struct Type { |
| Type() = default; |
| Type(const Type&) = default; |
| Type& operator=(const Type&) = default; |
| Type(Type&&) noexcept = default; |
| Type& operator=(Type&&) noexcept = default; |
| virtual bool is_matching(PyObject* object) = 0; |
| virtual ~Type() = default; |
| }; |
| |
| struct SimpleType : public Type { |
| SimpleType(std::string& name) : name(name){}; |
| |
| bool is_matching(PyObject* object) override { |
| return py_typename(object) == name; |
| } |
| |
| std::string name; |
| }; |
| |
| struct MultiType : public Type { |
| MultiType(std::initializer_list<std::string> accepted_types) |
| : types(accepted_types){}; |
| |
| bool is_matching(PyObject* object) override { |
| auto it = std::find(types.begin(), types.end(), py_typename(object)); |
| return it != types.end(); |
| } |
| |
| std::vector<std::string> types; |
| }; |
| |
| struct NullableType : public Type { |
| NullableType(std::unique_ptr<Type> type) : type(std::move(type)){}; |
| |
| bool is_matching(PyObject* object) override { |
| return object == Py_None || type->is_matching(object); |
| } |
| |
| std::unique_ptr<Type> type; |
| }; |
| |
| struct TupleType : public Type { |
| TupleType(std::vector<std::unique_ptr<Type>> types) |
| : types(std::move(types)){}; |
| |
| bool is_matching(PyObject* object) override { |
| if (!PyTuple_Check(object)) |
| return false; |
| auto num_elements = PyTuple_GET_SIZE(object); |
| if (num_elements != (long)types.size()) |
| return false; |
| for (const auto i : c10::irange(num_elements)) { |
| if (!types[i]->is_matching(PyTuple_GET_ITEM(object, i))) |
| return false; |
| } |
| return true; |
| } |
| |
| std::vector<std::unique_ptr<Type>> types; |
| }; |
| |
| struct SequenceType : public Type { |
| SequenceType(std::unique_ptr<Type> type) : type(std::move(type)){}; |
| |
| bool is_matching(PyObject* object) override { |
| if (!PySequence_Check(object)) |
| return false; |
| auto num_elements = PySequence_Length(object); |
| for (const auto i : c10::irange(num_elements)) { |
| if (!type->is_matching( |
| py::reinterpret_steal<py::object>(PySequence_GetItem(object, i)) |
| .ptr())) |
| return false; |
| } |
| return true; |
| } |
| |
| std::unique_ptr<Type> type; |
| }; |
| |
| struct Argument { |
| Argument(std::string name, std::unique_ptr<Type> type) |
| : name(std::move(name)), type(std::move(type)){}; |
| |
| std::string name; |
| std::unique_ptr<Type> type; |
| }; |
| |
| struct Option { |
| Option(std::vector<Argument> arguments, bool is_variadic, bool has_out) |
| : arguments(std::move(arguments)), |
| is_variadic(is_variadic), |
| has_out(has_out){}; |
| Option(bool is_variadic, bool has_out) |
| : arguments(), is_variadic(is_variadic), has_out(has_out){}; |
| Option(const Option&) = delete; |
| Option(Option&& other) noexcept |
| : arguments(std::move(other.arguments)), |
| is_variadic(other.is_variadic), |
| has_out(other.has_out){}; |
| |
| std::vector<Argument> arguments; |
| bool is_variadic; |
| bool has_out; |
| }; |
| |
| std::vector<std::string> _splitString( |
| const std::string& s, |
| const std::string& delim) { |
| std::vector<std::string> tokens; |
| size_t start = 0; |
| size_t end = 0; |
| while ((end = s.find(delim, start)) != std::string::npos) { |
| tokens.push_back(s.substr(start, end - start)); |
| start = end + delim.length(); |
| } |
| tokens.push_back(s.substr(start)); |
| return tokens; |
| } |
| |
| std::unique_ptr<Type> _buildType(std::string type_name, bool is_nullable) { |
| std::unique_ptr<Type> result; |
| if (type_name == "float") { |
| result = std::make_unique<MultiType>(MultiType{"float", "int", "long"}); |
| } else if (type_name == "int") { |
| result = std::make_unique<MultiType>(MultiType{"int", "long"}); |
| } else if (type_name.find("tuple[") == 0) { |
| auto type_list = type_name.substr(6); |
| type_list.pop_back(); |
| std::vector<std::unique_ptr<Type>> types; |
| for (auto& type : _splitString(type_list, ",")) |
| types.emplace_back(_buildType(type, false)); |
| result = std::make_unique<TupleType>(std::move(types)); |
| } else if (type_name.find("sequence[") == 0) { |
| auto subtype = type_name.substr(9); |
| subtype.pop_back(); |
| result = std::make_unique<SequenceType>(_buildType(subtype, false)); |
| } else { |
| result = std::make_unique<SimpleType>(type_name); |
| } |
| if (is_nullable) |
| result = std::make_unique<NullableType>(std::move(result)); |
| return result; |
| } |
| |
| std::pair<Option, std::string> _parseOption( |
| const std::string& _option_str, |
| const std::unordered_map<std::string, PyObject*>& kwargs) { |
| if (_option_str == "no arguments") |
| return std::pair<Option, std::string>(Option(false, false), _option_str); |
| bool has_out = false; |
| std::vector<Argument> arguments; |
| std::string printable_option = _option_str; |
| std::string option_str = _option_str.substr(1, _option_str.length() - 2); |
| |
| /// XXX: this is a hack only for the out arg in TensorMethods |
| auto out_pos = printable_option.find('#'); |
| if (out_pos != std::string::npos) { |
| if (kwargs.count("out") > 0) { |
| std::string kwonly_part = printable_option.substr(out_pos + 1); |
| printable_option.erase(out_pos); |
| printable_option += "*, "; |
| printable_option += kwonly_part; |
| } else if (out_pos >= 2) { |
| printable_option.erase(out_pos - 2); |
| printable_option += ")"; |
| } else { |
| printable_option.erase(out_pos); |
| printable_option += ")"; |
| } |
| has_out = true; |
| } |
| |
| for (auto& arg : _splitString(option_str, ", ")) { |
| bool is_nullable = false; |
| auto type_start_idx = 0; |
| if (arg[type_start_idx] == '#') { |
| type_start_idx++; |
| } |
| if (arg[type_start_idx] == '[') { |
| is_nullable = true; |
| type_start_idx++; |
| arg.erase(arg.length() - std::string(" or None]").length()); |
| } |
| |
| auto type_end_idx = arg.find_last_of(' '); |
| auto name_start_idx = type_end_idx + 1; |
| |
| // "type ... name" => "type ... name" |
| // ^ ^ |
| auto dots_idx = arg.find("..."); |
| if (dots_idx != std::string::npos) |
| type_end_idx -= 4; |
| |
| std::string type_name = |
| arg.substr(type_start_idx, type_end_idx - type_start_idx); |
| std::string name = arg.substr(name_start_idx); |
| |
| arguments.emplace_back(name, _buildType(type_name, is_nullable)); |
| } |
| |
| bool is_variadic = option_str.find("...") != std::string::npos; |
| return std::pair<Option, std::string>( |
| Option(std::move(arguments), is_variadic, has_out), |
| std::move(printable_option)); |
| } |
| |
| bool _argcountMatch( |
| const Option& option, |
| const std::vector<PyObject*>& arguments, |
| const std::unordered_map<std::string, PyObject*>& kwargs) { |
| auto num_expected = option.arguments.size(); |
| auto num_got = arguments.size() + kwargs.size(); |
| // Note: variadic functions don't accept kwargs, so it's ok |
| if (option.has_out && kwargs.count("out") == 0) |
| num_expected--; |
| return num_got == num_expected || |
| (option.is_variadic && num_got > num_expected); |
| } |
| |
| std::string _formattedArgDesc( |
| const Option& option, |
| const std::vector<PyObject*>& arguments, |
| const std::unordered_map<std::string, PyObject*>& kwargs) { |
| std::string red; |
| std::string reset_red; |
| std::string green; |
| std::string reset_green; |
| if (isatty(1) && isatty(2)) { |
| red = "\33[31;1m"; |
| reset_red = "\33[0m"; |
| green = "\33[32;1m"; |
| reset_green = "\33[0m"; |
| } else { |
| red = "!"; |
| reset_red = "!"; |
| green = ""; |
| reset_green = ""; |
| } |
| |
| auto num_args = arguments.size() + kwargs.size(); |
| std::string result = "("; |
| for (const auto i : c10::irange(num_args)) { |
| bool is_kwarg = i >= arguments.size(); |
| PyObject* arg = |
| is_kwarg ? kwargs.at(option.arguments[i].name) : arguments[i]; |
| |
| bool is_matching = false; |
| if (i < option.arguments.size()) { |
| is_matching = option.arguments[i].type->is_matching(arg); |
| } else if (option.is_variadic) { |
| is_matching = option.arguments.back().type->is_matching(arg); |
| } |
| |
| if (is_matching) |
| result += green; |
| else |
| result += red; |
| if (is_kwarg) |
| result += option.arguments[i].name + "="; |
| bool is_tuple = PyTuple_Check(arg); |
| if (is_tuple || PyList_Check(arg)) { |
| result += py_typename(arg) + " of "; |
| auto num_elements = PySequence_Length(arg); |
| if (is_tuple) { |
| result += "("; |
| } else { |
| result += "["; |
| } |
| for (const auto i : c10::irange(num_elements)) { |
| if (i != 0) { |
| result += ", "; |
| } |
| result += py_typename( |
| py::reinterpret_steal<py::object>(PySequence_GetItem(arg, i)) |
| .ptr()); |
| } |
| if (is_tuple) { |
| if (num_elements == 1) { |
| result += ","; |
| } |
| result += ")"; |
| } else { |
| result += "]"; |
| } |
| } else { |
| result += py_typename(arg); |
| } |
| if (is_matching) |
| result += reset_green; |
| else |
| result += reset_red; |
| result += ", "; |
| } |
| if (!arguments.empty()) |
| result.erase(result.length() - 2); |
| result += ")"; |
| return result; |
| } |
| |
| std::string _argDesc( |
| const std::vector<PyObject*>& arguments, |
| const std::unordered_map<std::string, PyObject*>& kwargs) { |
| std::string result = "("; |
| for (auto& arg : arguments) |
| result += std::string(py_typename(arg)) + ", "; |
| for (auto& kwarg : kwargs) |
| result += kwarg.first + "=" + py_typename(kwarg.second) + ", "; |
| if (!arguments.empty()) |
| result.erase(result.length() - 2); |
| result += ")"; |
| return result; |
| } |
| |
| std::vector<std::string> _tryMatchKwargs( |
| const Option& option, |
| const std::unordered_map<std::string, PyObject*>& kwargs) { |
| std::vector<std::string> unmatched; |
| // NOLINTNEXTLINE(cppcoreguidelines-narrowing-conversions,bugprone-narrowing-conversions) |
| int64_t start_idx = option.arguments.size() - kwargs.size(); |
| if (option.has_out && kwargs.count("out") == 0) |
| start_idx--; |
| if (start_idx < 0) |
| start_idx = 0; |
| for (auto& entry : kwargs) { |
| bool found = false; |
| for (unsigned int i = start_idx; i < option.arguments.size(); i++) { |
| if (option.arguments[i].name == entry.first) { |
| found = true; |
| break; |
| } |
| } |
| if (!found) |
| unmatched.push_back(entry.first); |
| } |
| return unmatched; |
| } |
| |
| } // anonymous namespace |
| |
| std::string format_invalid_args( |
| PyObject* given_args, |
| PyObject* given_kwargs, |
| const std::string& function_name, |
| const std::vector<std::string>& options) { |
| std::vector<PyObject*> args; |
| std::unordered_map<std::string, PyObject*> kwargs; |
| std::string error_msg; |
| error_msg.reserve(2000); |
| error_msg += function_name; |
| error_msg += " received an invalid combination of arguments - "; |
| |
| Py_ssize_t num_args = PyTuple_Size(given_args); |
| for (const auto i : c10::irange(num_args)) { |
| PyObject* arg = PyTuple_GET_ITEM(given_args, i); |
| args.push_back(arg); |
| } |
| |
| bool has_kwargs = given_kwargs && PyDict_Size(given_kwargs) > 0; |
| if (has_kwargs) { |
| PyObject *key = nullptr, *value = nullptr; |
| Py_ssize_t pos = 0; |
| |
| while (PyDict_Next(given_kwargs, &pos, &key, &value)) { |
| kwargs.emplace(THPUtils_unpackString(key), value); |
| } |
| } |
| |
| if (options.size() == 1) { |
| auto pair = _parseOption(options[0], kwargs); |
| auto& option = pair.first; |
| auto& option_str = pair.second; |
| std::vector<std::string> unmatched_kwargs; |
| if (has_kwargs) |
| unmatched_kwargs = _tryMatchKwargs(option, kwargs); |
| if (!unmatched_kwargs.empty()) { |
| error_msg += "got unrecognized keyword arguments: "; |
| for (auto& kwarg : unmatched_kwargs) |
| error_msg += kwarg + ", "; |
| error_msg.erase(error_msg.length() - 2); |
| } else { |
| error_msg += "got "; |
| if (_argcountMatch(option, args, kwargs)) { |
| error_msg += _formattedArgDesc(option, args, kwargs); |
| } else { |
| error_msg += _argDesc(args, kwargs); |
| } |
| error_msg += ", but expected "; |
| error_msg += option_str; |
| } |
| } else { |
| error_msg += "got "; |
| error_msg += _argDesc(args, kwargs); |
| error_msg += ", but expected one of:\n"; |
| for (auto& option_str : options) { |
| auto pair = _parseOption(option_str, kwargs); |
| auto& option = pair.first; |
| auto& printable_option_str = pair.second; |
| error_msg += " * "; |
| error_msg += printable_option_str; |
| error_msg += "\n"; |
| if (_argcountMatch(option, args, kwargs)) { |
| std::vector<std::string> unmatched_kwargs; |
| if (has_kwargs) |
| unmatched_kwargs = _tryMatchKwargs(option, kwargs); |
| if (!unmatched_kwargs.empty()) { |
| error_msg += |
| " didn't match because some of the keywords were incorrect: "; |
| for (auto& kwarg : unmatched_kwargs) |
| error_msg += kwarg + ", "; |
| error_msg.erase(error_msg.length() - 2); |
| error_msg += "\n"; |
| } else { |
| error_msg += |
| " didn't match because some of the arguments have invalid types: "; |
| error_msg += _formattedArgDesc(option, args, kwargs); |
| error_msg += "\n"; |
| } |
| } |
| } |
| } |
| return error_msg; |
| } |
| |
| } // namespace torch |