//===----------------------------------------------------------------------===// // // This source code is copied from PyTorch, and remains licensed under // the PyTorch BSD-style license available at // https://github.com/pytorch/pytorch/blob/master/LICENSE // //===----------------------------------------------------------------------===// #include "torch-mlir/Dialect/Torch/Utils/TorchUpstream.h" #include "llvm/Support/ErrorHandling.h" namespace mlir { namespace torch { namespace torch_upstream { //===----------------------------------------------------------------------===// // ScalarType enum related code are copied from c10/core/ScalarType.h. //===----------------------------------------------------------------------===// static inline bool isQIntType(ScalarType t) { // Don't forget to extend this when adding new QInt types return t == ScalarType::QInt8 || t == ScalarType::QUInt8 || t == ScalarType::QInt32 || t == ScalarType::QUInt4x2 || t == ScalarType::QUInt2x4 || t == ScalarType::QInt16; } //===----------------------------------------------------------------------===// // Type promotion related code are copied from // aten/src/ATen/native/TypeProperties.*. //===----------------------------------------------------------------------===// static inline ScalarType promoteTypes(ScalarType a, ScalarType b) { // This is generated according to NumPy's promote_types constexpr auto u1 = ScalarType::Byte; constexpr auto i1 = ScalarType::Char; constexpr auto i2 = ScalarType::Short; constexpr auto i4 = ScalarType::Int; constexpr auto i8 = ScalarType::Long; constexpr auto f2 = ScalarType::Half; constexpr auto f4 = ScalarType::Float; constexpr auto f8 = ScalarType::Double; constexpr auto c2 = ScalarType::ComplexHalf; constexpr auto c4 = ScalarType::ComplexFloat; constexpr auto c8 = ScalarType::ComplexDouble; constexpr auto b1 = ScalarType::Bool; constexpr auto bf = ScalarType::BFloat16; constexpr auto ud = ScalarType::Undefined; if (a == ud || b == ud) { return ScalarType::Undefined; } // For QInt types, we only allow exact match if (isQIntType(a) && a == b) { return a; } if (isQIntType(a) || isQIntType(b)) { assert(false && "promoteTypes with quantized numbers is not handled yet; " "figure out what the correct rules should be"); } // this matrix has to be consistent with AT_FORALL_SCALAR_TYPES_WITH_COMPLEX // so that's why we have to add undefined as we are not sure what is the // corrent values for the type promotions in complex type cases. static constexpr ScalarType _promoteTypesLookup[static_cast( ScalarType::NumOptions)][static_cast(ScalarType::NumOptions)] = { /* u1 i1 i2 i4 i8 f2 f4 f8 c2 c4 c8 b1 q1 q2 q3 bf*/ /* u1 */ {u1, i2, i2, i4, i8, f2, f4, f8, ud, c4, c8, u1, ud, ud, ud, bf}, /* i1 */ {i2, i1, i2, i4, i8, f2, f4, f8, ud, c4, c8, i1, ud, ud, ud, bf}, /* i2 */ {i2, i2, i2, i4, i8, f2, f4, f8, ud, c4, c8, i2, ud, ud, ud, bf}, /* i4 */ {i4, i4, i4, i4, i8, f2, f4, f8, ud, c4, c8, i4, ud, ud, ud, bf}, /* i8 */ {i8, i8, i8, i8, i8, f2, f4, f8, ud, c4, c8, i8, ud, ud, ud, bf}, /* f2 */ {f2, f2, f2, f2, f2, f2, f4, f8, ud, c4, c8, f2, ud, ud, ud, f4}, /* f4 */ {f4, f4, f4, f4, f4, f4, f4, f8, ud, c4, c8, f4, ud, ud, ud, f4}, /* f8 */ {f8, f8, f8, f8, f8, f8, f8, f8, ud, c8, c8, f8, ud, ud, ud, f8}, /* c2 */ {ud, ud, ud, ud, ud, ud, ud, ud, c2, c4, c8, ud, ud, ud, ud, ud}, /* c4 */ {c4, c4, c4, c4, c4, c4, c4, c8, c4, c4, c8, c4, ud, ud, ud, c4}, /* c8 */ {c8, c8, c8, c8, c8, c8, c8, c8, c8, c8, c8, c8, ud, ud, ud, c8}, /* b1 */ {u1, i1, i2, i4, i8, f2, f4, f8, ud, c4, c8, b1, ud, ud, ud, bf}, /* q1 */ {ud, ud, ud, ud, ud, ud, ud, ud, ud, ud, ud, ud, ud, ud, ud, ud}, /* q2 */ {ud, ud, ud, ud, ud, ud, ud, ud, ud, ud, ud, ud, ud, ud, ud, ud}, /* q3 */ {ud, ud, ud, ud, ud, ud, ud, ud, ud, ud, ud, ud, ud, ud, ud, ud}, /* bf */ {bf, bf, bf, bf, bf, f4, f4, f8, ud, c4, c8, bf, ud, ud, ud, bf}, }; return _promoteTypesLookup[static_cast(a)][static_cast(b)]; } static inline bool isFloatingType(ScalarType t) { return (t == ScalarType::Double || t == ScalarType::Float || t == ScalarType::Half || t == ScalarType::BFloat16); } static inline bool isComplexType(ScalarType t) { return (t == ScalarType::ComplexHalf || t == ScalarType::ComplexFloat || t == ScalarType::ComplexDouble); } static inline ScalarType combine_categories(ScalarType higher, ScalarType lower) { // NOLINTNEXTLINE(bugprone-branch-clone) if (isComplexType(higher)) { return higher; } else if (!isComplexType(lower) && isFloatingType(higher)) { return higher; } if (higher == ScalarType::Bool || isFloatingType(lower) || isComplexType(lower)) { return promote_skip_undefined(higher, lower); } if (higher != ScalarType::Undefined) { return higher; } return lower; } ScalarType promote_skip_undefined(ScalarType a, ScalarType b) { if (a == ScalarType::Undefined) { return b; } if (b == ScalarType::Undefined) { return a; } return promoteTypes(a, b); } ScalarType result_type(const ResultTypeState &in_state) { return combine_categories( in_state.dimResult, combine_categories(in_state.zeroResult, in_state.wrappedResult)); } ReductionType get_reduction_enum(const llvm::StringRef &reduce) { if (reduce == "max" || reduce == "amax") { return torch_upstream::ReductionType::MAX; } else if (reduce == "mean") { return torch_upstream::ReductionType::MEAN; } else if (reduce == "min" || reduce == "amin") { return torch_upstream::ReductionType::MIN; } else if (reduce == "sum") { return torch_upstream::ReductionType::SUM; } else if (reduce == "prod") { return torch_upstream::ReductionType::PROD; } else { llvm_unreachable( "'reduce' argument must be either sum, prod, mean, amax or amin"); } } } // namespace torch_upstream } // namespace torch } // namespace mlir