/usr/local/lib64/python3.6/site-packages/torch/include/ATen/core
NameSizeModeActions
boxing/-0755rm
dispatch/-0755rm
op_registration/-0755rm
alias_info.h29860644editdlrm
Array.h7680644editdlrm
ATenGeneral.h450644editdlrm
ATenOpList.h2460644editdlrm
aten_interned_strings.h253890644editdlrm
Backtrace.h590644editdlrm
blob.h54220644editdlrm
builtin_function.h36490644editdlrm
DeprecatedTypeProperties.h37730644editdlrm
DeprecatedTypePropertiesRegistry.h7950644editdlrm
Dict.h131950644editdlrm
Dict_inl.h79960644editdlrm
Dimname.h11880644editdlrm
DimVector.h2470644editdlrm
DistributionsHelper.h125940644editdlrm
Formatting.h9590644editdlrm
function.h21450644editdlrm
functional.h14600644editdlrm
function_schema.h135770644editdlrm
function_schema_inl.h93190644editdlrm
Generator.h49350644editdlrm
grad_mode.h2100644editdlrm
interned_strings.h253320644editdlrm
interned_strings_class.h7700644editdlrm
ivalue.h388230644editdlrm
ivalue_inl.h599630644editdlrm
ivalue_to.h7560644editdlrm
jit_type.h759710644editdlrm
jit_type_base.h65080644editdlrm
LegacyTypeDispatch.h46260644editdlrm
List.h156670644editdlrm
List_inl.h110120644editdlrm
Macros.h440644editdlrm
MT19937RNGEngine.h64100644editdlrm
NamedTensor.h50500644editdlrm
operator_name.h30180644editdlrm
PhiloxRNGEngine.h64960644editdlrm
PythonModeTLS.h4030644editdlrm
qualified_name.h43580644editdlrm
QuantizerBase.h24430644editdlrm
Range.h4180644editdlrm
Reduction.h4610644editdlrm
rref_interface.h11440644editdlrm
Scalar.h290644editdlrm
ScalarType.h330644editdlrm
stack.h60340644editdlrm
Tensor.h17560644editdlrm
TensorAccessor.h102960644editdlrm
TensorBase.h327670644editdlrm
TensorBody.h2475550644editdlrm
TransformationHelper.h69110644editdlrm
typeid.h290644editdlrm
UndefinedTensorImpl.h420644editdlrm
UnsafeFromTH.h7080644editdlrm
VariableHooksInterface.h33120644editdlrm
Variadic.h22570644editdlrm
Vitals.h23050644editdlrm
Edit: /usr/local/lib64/python3.6/site-packages/torch/include/ATen/core/function_schema_inl.h (9319B)
#pragma once // note: windows build doesn't find symbols in operator files unless // this is a header file namespace c10 { inline std::ostream& operator<<(std::ostream& out, const FunctionSchema& schema) { // eventually this should look almost identical to python arg parser, but // it is simpler for now to work directly on this schema out << schema.name(); if (schema.overload_name() != "") { out << "." << schema.overload_name(); } out << "("; bool seen_kwarg_only = false; for(size_t i = 0; i < schema.arguments().size(); ++i) { if (i > 0) out << ", "; if (schema.arguments()[i].kwarg_only() && !seen_kwarg_only) { out << "*, "; seen_kwarg_only = true; } out << schema.arguments()[i]; } if(schema.is_vararg()) { if(schema.arguments().size() > 0) out << ", "; out << "..."; } out << ") -> "; const auto& returns = schema.returns(); out << "("; for(size_t i = 0; i < returns.size(); ++i) { if (i > 0) { out << ", "; } out << returns.at(i); } if (schema.is_varret()) { if (returns.size() != 0) { out << ", "; } out << "..."; } out << ")"; return out; } inline size_t findFirstOutArg(const std::vector& args) { // find the start of out args in the schema for (size_t out_start_idx = 0; out_start_idx < args.size(); out_start_idx++) { if (args.at(out_start_idx).is_out()) { return out_start_idx; } } return args.size(); } inline bool Argument::isBackwardCompatibleWith( const Argument& old, std::ostream* why_not) const { const Argument* lhs = this; const Argument* rhs = &old; if (!(lhs->name() == rhs->name() && lhs->N() == rhs->N() && lhs->alias_info() == rhs->alias_info())) { return false; } if (lhs->kwarg_only() && !rhs->kwarg_only()) { return false; } if (!rhs->type()->isSubtypeOfExt(lhs->type(), why_not)) { return false; } if (rhs->default_value().has_value() && lhs->default_value() != rhs->default_value()) { return false; } return true; } inline std::string FunctionSchema::formatTypeMismatchMsg( const Argument& expected, const std::string& actual_type, c10::optional position, c10::optional value) const { std::string position_str; if (position) { position_str = c10::str("Position: ", *position, "\n"); } std::string value_str; if (value) { value_str = c10::str("Value: ", *value, "\n"); } return c10::str( name(), "() ", expected.formatTypeMismatchMsg(actual_type), position_str, value_str, "Declaration: ", *this); } inline bool FunctionSchema::isBackwardCompatibleWith( const FunctionSchema& old, std::ostream* why_not) const { if (!(name() == old.name() && overload_name() == old.overload_name() // we are conservative on is_vararg and is_varret, // since they are only used by internal operators && is_vararg() == old.is_vararg() && is_varret() == old.is_varret() && returns().size() == old.returns().size() && arguments().size() >= old.arguments().size())) { return false; } for (size_t i = 0; i < returns().size(); ++i) { // Backwards compatibility requires covariance on argument types // (i.e. more generic), and contravariance on return types (i.e. // more specific). if (!old.returns().at(i).isBackwardCompatibleWith( returns().at(i), why_not)) { return false; } } // we want to test both out and default args seperately size_t old_out_start_idx = findFirstOutArg(old.arguments()); size_t new_out_start_idx = findFirstOutArg(arguments()); // make sure among the default args, they are backward compatible for (size_t i = 0; i < old_out_start_idx; i++) { if (!arguments().at(i).isBackwardCompatibleWith( old.arguments().at(i), why_not)) { return false; } } // // Validate that all new arguments provided has a default value for (size_t i = old_out_start_idx; i < new_out_start_idx; ++i) { if (!arguments().at(i).default_value()) { if (why_not) { *why_not << "Function schema not backward compatible since the new argument '" << arguments().at(i).name() << "' of type " << arguments().at(i).type()->str() << " did not provide a default value."; } return false; } } // now compare the out args for (size_t i = old_out_start_idx; i < old.arguments().size(); i++) { if (!arguments() .at(i - old_out_start_idx + new_out_start_idx) .isBackwardCompatibleWith(old.arguments().at(i), why_not)) { return false; } } return true; } inline void FunctionSchema::checkArg( const IValue& value, const Argument& argument, optional pos) const { if (value.isTensor() && argument.type() == TensorType::get()) { // Fast-path for the common case return; } if (!value.type()->isSubtypeOf(argument.type())) { TORCH_CHECK( false, formatTypeMismatchMsg( argument, value.type()->repr_str(), pos)); } } inline std::string FunctionSchema::findErrorInKwargs(const std::vector& kwargs) const { // First check if any of the kwargs are unknown, i.e. don't match the name of // any argument in the schema. for (const auto& kwarg : kwargs) { if (!std::count_if( arguments().begin(), arguments().end(), [&kwarg](const Argument& argument) { return argument.name() == kwarg; })) { return c10::str( "Unknown keyword argument '", kwarg, "' for operator '", name(), "'. Schema: ", *this); } } // If there are unconsumed kwargs but none of them were unknown, the first // positional argument present in the kwargs is duplicated. for (const auto& argument : arguments()) { if (std::find(kwargs.begin(), kwargs.end(), argument.name()) != kwargs.end()) { AT_ASSERT(!argument.default_value()); return c10::str( "Argument '", argument.name(), "' specified both as positional and ", "keyword argument. Schema: ", *this); } } return ""; } inline void FunctionSchema::checkAndNormalizeInputs( std::vector& inputs, const std::unordered_map& kwargs) const { // Do we have more inputs than the schema accepts? TORCH_CHECK( inputs.size() <= arguments().size(), "Expected at most ", arguments().size(), " argument(s) for operator '", name(), "', but received ", inputs.size(), " argument(s). Declaration: ", *this); size_t consumed_kwargs = 0; for (size_t pos = 0; pos < arguments().size(); ++pos) { const auto& argument = arguments()[pos]; if (pos < inputs.size()) { checkArg(inputs[pos], argument, pos); continue; } auto it = kwargs.find(argument.name()); if (it != kwargs.end()) { checkArg(it->second, argument, nullopt); inputs.push_back(it->second); consumed_kwargs++; continue; } if (argument.default_value()) { inputs.push_back(*argument.default_value()); continue; } AT_ERROR( name(), "() is missing value for argument '", argument.name(), "'. Declaration: ", *this); } if (consumed_kwargs != kwargs.size()) { std::vector names; for(const auto& k : kwargs) { names.emplace_back(k.first); } throw std::runtime_error(findErrorInKwargs(names)); } } inline FunctionSchema FunctionSchema::cloneWithRemappedTypes( const std::function type_map) const { auto update_args = [&](const std::vector& args) { std::vector new_args; new_args.reserve(args.size()); for(const Argument& arg : args) { new_args.emplace_back(arg.cloneWithType(type_map(arg.type()))); } return new_args; }; return FunctionSchema( name(), overload_name(), update_args(arguments()), update_args(returns()), is_vararg(), is_varret()); } // covariant subtyping of list of Arguments inline bool isSubtypeOfList( ArrayRef child, ArrayRef parent, std::ostream* why_not) { if (child.size() != parent.size()) { return false; } for (size_t i = 0; i < child.size(); ++i) { const Argument& c = child[i]; const Argument& p = parent[i]; if (c.name() != p.name()) { return false; } if (!c.type()->isSubtypeOfExt(p.type(), why_not)) { return false; } } return true; } inline bool FunctionSchema::isSubtypeOf( const FunctionSchema& rhs, bool as_method, std::ostream* why_not) const { size_t start = as_method ? 1 : 0; // functions are contravariant in arguments but covariant in returns return isSubtypeOfList( ArrayRef(rhs.arguments()).slice(start), ArrayRef(arguments()).slice(start), why_not) && isSubtypeOfList(returns(), rhs.returns(), why_not); } } // namespace c10