59 lines
2.1 KiB
C++
59 lines
2.1 KiB
C++
//===- TemplateExtras.h -----------------------------------------*- C++ -*-===//
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//
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// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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//
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//===----------------------------------------------------------------------===//
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#ifndef MLIR_DIALECT_SPARSETENSOR_IR_DETAIL_TEMPLATEEXTRAS_H
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#define MLIR_DIALECT_SPARSETENSOR_IR_DETAIL_TEMPLATEEXTRAS_H
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#include <utility>
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#include "llvm/ADT/STLExtras.h"
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#include "llvm/Support/raw_ostream.h"
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namespace mlir {
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namespace sparse_tensor {
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namespace ir_detail {
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//===----------------------------------------------------------------------===//
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template <typename T>
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using has_print_method =
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decltype(std::declval<T>().print(std::declval<llvm::raw_ostream &>()));
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template <typename T>
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using detect_has_print_method = llvm::is_detected<has_print_method, T>;
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template <typename T, typename R = void>
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using enable_if_has_print_method =
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std::enable_if_t<detect_has_print_method<T>::value, R>;
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/// Generic template for defining `operator<<` overloads which delegate
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/// to `T::print(raw_ostream&) const`.
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template <typename T>
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inline enable_if_has_print_method<T, llvm::raw_ostream &>
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operator<<(llvm::raw_ostream &os, T const &t) {
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t.print(os);
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return os;
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}
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//===----------------------------------------------------------------------===//
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template <typename T>
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static constexpr bool IsZeroCostAbstraction =
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// These two predicates license the compiler to make optimizations.
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std::is_trivially_copyable_v<T> && std::is_trivially_destructible_v<T> &&
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// This helps ensure ABI compatibility (e.g., padding and alignment).
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std::is_standard_layout_v<T> &&
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// These two are what SmallVector uses to determine whether it can
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// use memcpy.
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std::is_trivially_copy_constructible<T>::value &&
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std::is_trivially_move_constructible<T>::value;
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//===----------------------------------------------------------------------===//
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} // namespace ir_detail
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} // namespace sparse_tensor
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} // namespace mlir
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#endif // MLIR_DIALECT_SPARSETENSOR_IR_DETAIL_TEMPLATEEXTRAS_H
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