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1//===- TemplateExtras.h -----------------------------------------*- C++ -*-===//2//3// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.4// See https://llvm.org/LICENSE.txt for license information.5// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception6//7//===----------------------------------------------------------------------===//8 9#ifndef MLIR_DIALECT_SPARSETENSOR_IR_DETAIL_TEMPLATEEXTRAS_H10#define MLIR_DIALECT_SPARSETENSOR_IR_DETAIL_TEMPLATEEXTRAS_H11 12#include <utility>13 14#include "llvm/ADT/STLExtras.h"15#include "llvm/Support/raw_ostream.h"16 17namespace mlir {18namespace sparse_tensor {19namespace ir_detail {20 21//===----------------------------------------------------------------------===//22template <typename T>23using has_print_method =24 decltype(std::declval<T>().print(std::declval<llvm::raw_ostream &>()));25template <typename T>26using detect_has_print_method = llvm::is_detected<has_print_method, T>;27template <typename T, typename R = void>28using enable_if_has_print_method =29 std::enable_if_t<detect_has_print_method<T>::value, R>;30 31/// Generic template for defining `operator<<` overloads which delegate32/// to `T::print(raw_ostream&) const`.33template <typename T>34inline enable_if_has_print_method<T, llvm::raw_ostream &>35operator<<(llvm::raw_ostream &os, T const &t) {36 t.print(os);37 return os;38}39 40//===----------------------------------------------------------------------===//41template <typename T>42static constexpr bool IsZeroCostAbstraction =43 // These two predicates license the compiler to make optimizations.44 std::is_trivially_copyable_v<T> && std::is_trivially_destructible_v<T> &&45 // This helps ensure ABI compatibility (e.g., padding and alignment).46 std::is_standard_layout_v<T> &&47 // These two are what SmallVector uses to determine whether it can48 // use memcpy.49 std::is_trivially_copy_constructible<T>::value &&50 std::is_trivially_move_constructible<T>::value;51 52//===----------------------------------------------------------------------===//53 54} // namespace ir_detail55} // namespace sparse_tensor56} // namespace mlir57 58#endif // MLIR_DIALECT_SPARSETENSOR_IR_DETAIL_TEMPLATEEXTRAS_H59