xref: /external/tensorflow/tensorflow/stream_executor/lib/statusor.h

/* Copyright 2015 The TensorFlow Authors. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/

// IWYU pragma: private, include "perftools/gputools/executor/stream_executor.h"
//
// StatusOr<T> is the union of a Status object and a T
// object. StatusOr models the concept of an object that is either a
// usable value, or an error Status explaining why such a value is
// not present. To this end, StatusOr<T> does not allow its Status
// value to be Status::OK. Further, StatusOr<T*> does not allow the
// contained pointer to be NULL.
//
// The primary use-case for StatusOr<T> is as the return value of a
// function which may fail.
//
// Example client usage for a StatusOr<T>, where T is not a pointer:
//
//  StatusOr<float> result = DoBigCalculationThatCouldFail();
//  if (result.ok()) {
//    float answer = result.ValueOrDie();
//    printf("Big calculation yielded: %f", answer);
//  } else {
//    LOG(ERROR) << result.status();
//  }
//
// Example client usage for a StatusOr<T*>:
//
//  StatusOr<Foo*> result = FooFactory::MakeNewFoo(arg);
//  if (result.ok()) {
//    std::unique_ptr<Foo> foo(result.ValueOrDie());
//    foo->DoSomethingCool();
//  } else {
//    LOG(ERROR) << result.status();
//  }
//
// Example client usage for a StatusOr<std::unique_ptr<T>>:
//
//  StatusOr<std::unique_ptr<Foo>> result = FooFactory::MakeNewFoo(arg);
//  if (result.ok()) {
//    std::unique_ptr<Foo> foo = std::move(result.ValueOrDie());
//    foo->DoSomethingCool();
//  } else {
//    LOG(ERROR) << result.status();
//  }
//
// Example factory implementation returning StatusOr<T*>:
//
//  StatusOr<Foo*> FooFactory::MakeNewFoo(int arg) {
//    if (arg <= 0) {
//      return Status(port::error::INVALID_ARGUMENT,
//                            "Arg must be positive");
//    } else {
//      return new Foo(arg);
//    }
//  }
//

#ifndef TENSORFLOW_STREAM_EXECUTOR_LIB_STATUSOR_H_
#define TENSORFLOW_STREAM_EXECUTOR_LIB_STATUSOR_H_

#include <new>
#include "tensorflow/stream_executor/platform/port.h"
#include <type_traits>
#include <utility>

#include "tensorflow/stream_executor/lib/error.h"
#include "tensorflow/stream_executor/lib/status.h"
#include "tensorflow/stream_executor/platform/logging.h"
#include "tensorflow/stream_executor/platform/port.h"

namespace perftools {
namespace gputools {
namespace port {

template<typename T>
class StatusOr {
  template<typename U> friend class StatusOr;

 public:
  // Construct a new StatusOr with Status::UNKNOWN status
  StatusOr() : status_(error::UNKNOWN, "") {}

  // Construct a new StatusOr with the given non-ok status. After calling
  // this constructor, calls to ValueOrDie() is invalid.
  //
  // NOTE: Not explicit - we want to use StatusOr<T> as a return
  // value, so it is convenient and sensible to be able to do 'return
  // Status()' when the return type is StatusOr<T>.
  //
  // REQUIRES: status != Status::OK.
  // In optimized builds, passing Status::OK here will have the effect
  // of passing PosixErrorSpace::EINVAL as a fallback.
  StatusOr(const Status& status);  // NOLINT

  // Construct a new StatusOr with the given value. If T is a plain pointer,
  // value must not be NULL. After calling this constructor, calls to
  // ValueOrDie() will succeed, and calls to status() will return OK.
  //
  // NOTE: Not explicit - we want to use StatusOr<T> as a return type
  // so it is convenient and sensible to be able to do 'return T()'
  // when the return type is StatusOr<T>.
  //
  // REQUIRES: if T is a plain pointer, value != NULL.
  // In optimized builds, passing a NULL pointer here will have
  // the effect of passing PosixErrorSpace::EINVAL as a fallback.
  StatusOr(const T& value);  // NOLINT

  // Conversion copy constructor, T must be copy constructible from U
  template <typename U>
  StatusOr(const StatusOr<U>& other)  // NOLINT
      : status_(other.status_),
        value_(other.value_) {}

  // Conversion assignment operator, T must be assignable from U
  template <typename U>
  StatusOr& operator=(const StatusOr<U>& other) {
    status_ = other.status_;
    value_ = other.value_;
    return *this;
  }

  // Rvalue-reference overloads of the other constructors and assignment
  // operators, to support move-only types and avoid unnecessary copying.
  StatusOr(T&& value);  // NOLINT

  // Move conversion operator to avoid unnecessary copy.
  // T must be assignable from U.
  // Not marked with explicit so the implicit conversion can happen.
  template <typename U>
  StatusOr(StatusOr<U>&& other)  // NOLINT
      : status_(std::move(other.status_)),
        value_(std::move(other.value_)) {}

  // Move assignment operator to avoid unnecessary copy.
  // T must be assignable from U
  template <typename U>
  StatusOr& operator=(StatusOr<U>&& other) {
    status_ = std::move(other.status_);
    value_ = std::move(other.value_);
    return *this;
  }

  // Returns a reference to our status. If this contains a T, then
  // returns Status::OK.
  const Status& status() const { return status_; }

  // Returns this->status().ok()
  bool ok() const { return status_.ok(); }

  // Returns a reference to our current value, requires that this->ok().
  // If you need to initialize a T object from the stored value,
  // ConsumeValueOrDie() may be more efficient.
  const T& ValueOrDie() const;
  T& ValueOrDie();

  // Returns our current value, requires this->ok(). Use this if
  // you would otherwise want to say std::move(s.ValueOrDie()), for example
  // if you need to initialize a T object from the stored value and you don't
  // need subsequent access to the stored value. It uses T's move constructor,
  // if it has one, so it will work with move-only types, and will often be
  // more efficient than ValueOrDie, but may leave the stored value
  // in an arbitrary valid state.
  T ConsumeValueOrDie();

 private:
  Status status_;
  T value_;

  void CheckValueNotNull(const T& value);

  template <typename U>
  struct IsNull {
    // For non-pointer U, a reference can never be NULL.
    static inline bool IsValueNull(const U& t) { return false; }
  };

  template <typename U>
  struct IsNull<U*> {
    static inline bool IsValueNull(const U* t) { return t == NULL; }
  };
};

////////////////////////////////////////////////////////////////////////////////
// Implementation details for StatusOr<T>

template <typename T>
StatusOr<T>::StatusOr(const T& value)
    : status_(), value_(value) {
  CheckValueNotNull(value);
}

template <typename T>
const T& StatusOr<T>::ValueOrDie() const {
  TF_CHECK_OK(status_);
  return value_;
}

template <typename T>
T& StatusOr<T>::ValueOrDie() {
  TF_CHECK_OK(status_);
  return value_;
}

template <typename T>
T StatusOr<T>::ConsumeValueOrDie() {
  TF_CHECK_OK(status_);
  return std::move(value_);
}

template <typename T>
StatusOr<T>::StatusOr(const Status& status)
    : status_(status) {
  assert(!status.ok());
  if (status.ok()) {
    status_ =
        Status(error::INTERNAL,
               "Status::OK is not a valid constructor argument to StatusOr<T>");
  }
}

template <typename T>
StatusOr<T>::StatusOr(T&& value)
    : status_() {
  CheckValueNotNull(value);
  value_ = std::move(value);
}

template <typename T>
void StatusOr<T>::CheckValueNotNull(const T& value) {
  assert(!IsNull<T>::IsValueNull(value));
  if (IsNull<T>::IsValueNull(value)) {
    status_ =
        Status(error::INTERNAL,
               "NULL is not a valid constructor argument to StatusOr<T*>");
  }
}

}  // namespace port
}  // namespace gputools
}  // namespace perftools

#endif  // TENSORFLOW_STREAM_EXECUTOR_LIB_STATUSOR_H_