Debug/gen/chromeos/services/machine_learning/public/mojom/tensor.mojom-shared.h

// chromeos/services/machine_learning/public/mojom/tensor.mojom-shared.h is auto generated by mojom_bindings_generator.py, do not edit

// Copyright 2016 The Chromium Authors. All rights reserved.
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.

#ifndef CHROMEOS_SERVICES_MACHINE_LEARNING_PUBLIC_MOJOM_TENSOR_MOJOM_SHARED_H_
#define CHROMEOS_SERVICES_MACHINE_LEARNING_PUBLIC_MOJOM_TENSOR_MOJOM_SHARED_H_

#include <stdint.h>

#include <functional>
#include <iosfwd>
#include <type_traits>
#include <utility>
#include "mojo/public/cpp/bindings/array_data_view.h"
#include "mojo/public/cpp/bindings/enum_traits.h"
#include "mojo/public/cpp/bindings/interface_data_view.h"
#include "mojo/public/cpp/bindings/lib/bindings_internal.h"
#include "mojo/public/cpp/bindings/lib/serialization.h"
#include "mojo/public/cpp/bindings/map_data_view.h"
#include "mojo/public/cpp/bindings/string_data_view.h"

#include "third_party/perfetto/include/perfetto/tracing/traced_value_forward.h"

#include "chromeos/services/machine_learning/public/mojom/tensor.mojom-shared-internal.h"



#include "base/component_export.h"

#ifdef KYTHE_IS_RUNNING
#pragma kythe_inline_metadata "Metadata comment"
#endif


namespace chromeos {
namespace machine_learning {
namespace mojom {
class StringListDataView;

class FloatListDataView;

class Int64ListDataView;

class TensorDataView;

class ValueListDataView;


}  // namespace mojom
}  // namespace machine_learning
}  // namespace chromeos

namespace mojo {
namespace internal {

template <>
struct MojomTypeTraits<::chromeos::machine_learning::mojom::StringListDataView> {
  using Data = ::chromeos::machine_learning::mojom::internal::StringList_Data;
  using DataAsArrayElement = Pointer<Data>;
  static constexpr MojomTypeCategory category = MojomTypeCategory::kStruct;
};

template <>
struct MojomTypeTraits<::chromeos::machine_learning::mojom::FloatListDataView> {
  using Data = ::chromeos::machine_learning::mojom::internal::FloatList_Data;
  using DataAsArrayElement = Pointer<Data>;
  static constexpr MojomTypeCategory category = MojomTypeCategory::kStruct;
};

template <>
struct MojomTypeTraits<::chromeos::machine_learning::mojom::Int64ListDataView> {
  using Data = ::chromeos::machine_learning::mojom::internal::Int64List_Data;
  using DataAsArrayElement = Pointer<Data>;
  static constexpr MojomTypeCategory category = MojomTypeCategory::kStruct;
};

template <>
struct MojomTypeTraits<::chromeos::machine_learning::mojom::TensorDataView> {
  using Data = ::chromeos::machine_learning::mojom::internal::Tensor_Data;
  using DataAsArrayElement = Pointer<Data>;
  static constexpr MojomTypeCategory category = MojomTypeCategory::kStruct;
};

template <>
struct MojomTypeTraits<::chromeos::machine_learning::mojom::ValueListDataView> {
  using Data = ::chromeos::machine_learning::mojom::internal::ValueList_Data;
  using DataAsArrayElement = Data;
  static constexpr MojomTypeCategory category = MojomTypeCategory::kUnion;
};

}  // namespace internal
}  // namespace mojo


namespace chromeos {
namespace machine_learning {
namespace mojom {


class StringListDataView {
 public:
  StringListDataView() = default;

  StringListDataView(
      internal::StringList_Data* data,
      mojo::Message* message)
      : data_(data), message_(message) {}

  bool is_null() const { return !data_; }
  inline void GetValueDataView(
      mojo::ArrayDataView<mojo::StringDataView>* output);

  template <typename UserType>
  [[nodiscard]] bool ReadValue(UserType* output) {
    
    auto* pointer = data_->value.Get();
    return mojo::internal::Deserialize<mojo::ArrayDataView<mojo::StringDataView>>(
        pointer, output, message_);
  }
 private:
  internal::StringList_Data* data_ = nullptr;
  mojo::Message* message_ = nullptr;
};



class FloatListDataView {
 public:
  FloatListDataView() = default;

  FloatListDataView(
      internal::FloatList_Data* data,
      mojo::Message* message)
      : data_(data), message_(message) {}

  bool is_null() const { return !data_; }
  inline void GetValueDataView(
      mojo::ArrayDataView<double>* output);

  template <typename UserType>
  [[nodiscard]] bool ReadValue(UserType* output) {
    
    auto* pointer = data_->value.Get();
    return mojo::internal::Deserialize<mojo::ArrayDataView<double>>(
        pointer, output, message_);
  }
 private:
  internal::FloatList_Data* data_ = nullptr;
  mojo::Message* message_ = nullptr;
};



class Int64ListDataView {
 public:
  Int64ListDataView() = default;

  Int64ListDataView(
      internal::Int64List_Data* data,
      mojo::Message* message)
      : data_(data), message_(message) {}

  bool is_null() const { return !data_; }
  inline void GetValueDataView(
      mojo::ArrayDataView<int64_t>* output);

  template <typename UserType>
  [[nodiscard]] bool ReadValue(UserType* output) {
    
    auto* pointer = data_->value.Get();
    return mojo::internal::Deserialize<mojo::ArrayDataView<int64_t>>(
        pointer, output, message_);
  }
 private:
  internal::Int64List_Data* data_ = nullptr;
  mojo::Message* message_ = nullptr;
};



class TensorDataView {
 public:
  TensorDataView() = default;

  TensorDataView(
      internal::Tensor_Data* data,
      mojo::Message* message)
      : data_(data), message_(message) {}

  bool is_null() const { return !data_; }
  inline void GetDataDataView(
      ValueListDataView* output);

  template <typename UserType>
  [[nodiscard]] bool ReadData(UserType* output) {
    
    auto* pointer = !data_->data.is_null() ? &data_->data : nullptr;
    return mojo::internal::Deserialize<::chromeos::machine_learning::mojom::ValueListDataView>(
        pointer, output, message_);
  }
  inline void GetShapeDataView(
      Int64ListDataView* output);

  template <typename UserType>
  [[nodiscard]] bool ReadShape(UserType* output) {
    
    auto* pointer = data_->shape.Get();
    return mojo::internal::Deserialize<::chromeos::machine_learning::mojom::Int64ListDataView>(
        pointer, output, message_);
  }
 private:
  internal::Tensor_Data* data_ = nullptr;
  mojo::Message* message_ = nullptr;
};



class ValueListDataView {
 public:
  using Tag = internal::ValueList_Data::ValueList_Tag;

  ValueListDataView() = default;

  ValueListDataView(
      internal::ValueList_Data* data,
      mojo::Message* message)
      : data_(data), message_(message) {}

  bool is_null() const {
    // For inlined unions, |data_| is always non-null. In that case we need to
    // check |data_->is_null()|.
    return !data_ || data_->is_null();
  }

  Tag tag() const { return data_->tag; }
  bool is_string_list() const { return data_->tag == Tag::kStringList; }
  inline void GetStringListDataView(
      StringListDataView* output) const;

  template <typename UserType>
  [[nodiscard]] bool ReadStringList(UserType* output) const {
    
    CHECK(is_string_list());
    return mojo::internal::Deserialize<::chromeos::machine_learning::mojom::StringListDataView>(
        data_->data.f_string_list.Get(), output, message_);
  }
  bool is_float_list() const { return data_->tag == Tag::kFloatList; }
  inline void GetFloatListDataView(
      FloatListDataView* output) const;

  template <typename UserType>
  [[nodiscard]] bool ReadFloatList(UserType* output) const {
    
    CHECK(is_float_list());
    return mojo::internal::Deserialize<::chromeos::machine_learning::mojom::FloatListDataView>(
        data_->data.f_float_list.Get(), output, message_);
  }
  bool is_int64_list() const { return data_->tag == Tag::kInt64List; }
  inline void GetInt64ListDataView(
      Int64ListDataView* output) const;

  template <typename UserType>
  [[nodiscard]] bool ReadInt64List(UserType* output) const {
    
    CHECK(is_int64_list());
    return mojo::internal::Deserialize<::chromeos::machine_learning::mojom::Int64ListDataView>(
        data_->data.f_int64_list.Get(), output, message_);
  }

 private:
  internal::ValueList_Data* data_ = nullptr;
  mojo::Message* message_ = nullptr;
};



}  // namespace mojom
}  // namespace machine_learning
}  // namespace chromeos

namespace std {

}  // namespace std

namespace mojo {


namespace internal {

template <typename MaybeConstUserType>
struct Serializer<::chromeos::machine_learning::mojom::StringListDataView, MaybeConstUserType> {
  using UserType = typename std::remove_const<MaybeConstUserType>::type;
  using Traits = StructTraits<::chromeos::machine_learning::mojom::StringListDataView, UserType>;

  static void Serialize(
      MaybeConstUserType& input,
      mojo::internal::MessageFragment<::chromeos::machine_learning::mojom::internal::StringList_Data>& fragment) {
    if (CallIsNullIfExists<Traits>(input))
      return;
    fragment.Allocate();
    decltype(Traits::value(input)) in_value = Traits::value(input);
    mojo::internal::MessageFragment<
        typename decltype(fragment->value)::BaseType>
        value_fragment(fragment.message());
    const mojo::internal::ContainerValidateParams value_validate_params(
        0, false, new mojo::internal::ContainerValidateParams(0, false, nullptr));
    mojo::internal::Serialize<mojo::ArrayDataView<mojo::StringDataView>>(
        in_value, value_fragment, &value_validate_params);
    fragment->value.Set(
        value_fragment.is_null() ? nullptr : value_fragment.data());
    MOJO_INTERNAL_DLOG_SERIALIZATION_WARNING(
        fragment->value.is_null(),
        mojo::internal::VALIDATION_ERROR_UNEXPECTED_NULL_POINTER,
        "null value in StringList struct");
  }

  static bool Deserialize(::chromeos::machine_learning::mojom::internal::StringList_Data* input,
                          UserType* output,
                          Message* message) {
    if (!input)
      return CallSetToNullIfExists<Traits>(output);

    ::chromeos::machine_learning::mojom::StringListDataView data_view(input, message);
    return Traits::Read(data_view, output);
  }
};

}  // namespace internal


namespace internal {

template <typename MaybeConstUserType>
struct Serializer<::chromeos::machine_learning::mojom::FloatListDataView, MaybeConstUserType> {
  using UserType = typename std::remove_const<MaybeConstUserType>::type;
  using Traits = StructTraits<::chromeos::machine_learning::mojom::FloatListDataView, UserType>;

  static void Serialize(
      MaybeConstUserType& input,
      mojo::internal::MessageFragment<::chromeos::machine_learning::mojom::internal::FloatList_Data>& fragment) {
    if (CallIsNullIfExists<Traits>(input))
      return;
    fragment.Allocate();
    decltype(Traits::value(input)) in_value = Traits::value(input);
    mojo::internal::MessageFragment<
        typename decltype(fragment->value)::BaseType>
        value_fragment(fragment.message());
    const mojo::internal::ContainerValidateParams value_validate_params(
        0, false, nullptr);
    mojo::internal::Serialize<mojo::ArrayDataView<double>>(
        in_value, value_fragment, &value_validate_params);
    fragment->value.Set(
        value_fragment.is_null() ? nullptr : value_fragment.data());
    MOJO_INTERNAL_DLOG_SERIALIZATION_WARNING(
        fragment->value.is_null(),
        mojo::internal::VALIDATION_ERROR_UNEXPECTED_NULL_POINTER,
        "null value in FloatList struct");
  }

  static bool Deserialize(::chromeos::machine_learning::mojom::internal::FloatList_Data* input,
                          UserType* output,
                          Message* message) {
    if (!input)
      return CallSetToNullIfExists<Traits>(output);

    ::chromeos::machine_learning::mojom::FloatListDataView data_view(input, message);
    return Traits::Read(data_view, output);
  }
};

}  // namespace internal


namespace internal {

template <typename MaybeConstUserType>
struct Serializer<::chromeos::machine_learning::mojom::Int64ListDataView, MaybeConstUserType> {
  using UserType = typename std::remove_const<MaybeConstUserType>::type;
  using Traits = StructTraits<::chromeos::machine_learning::mojom::Int64ListDataView, UserType>;

  static void Serialize(
      MaybeConstUserType& input,
      mojo::internal::MessageFragment<::chromeos::machine_learning::mojom::internal::Int64List_Data>& fragment) {
    if (CallIsNullIfExists<Traits>(input))
      return;
    fragment.Allocate();
    decltype(Traits::value(input)) in_value = Traits::value(input);
    mojo::internal::MessageFragment<
        typename decltype(fragment->value)::BaseType>
        value_fragment(fragment.message());
    const mojo::internal::ContainerValidateParams value_validate_params(
        0, false, nullptr);
    mojo::internal::Serialize<mojo::ArrayDataView<int64_t>>(
        in_value, value_fragment, &value_validate_params);
    fragment->value.Set(
        value_fragment.is_null() ? nullptr : value_fragment.data());
    MOJO_INTERNAL_DLOG_SERIALIZATION_WARNING(
        fragment->value.is_null(),
        mojo::internal::VALIDATION_ERROR_UNEXPECTED_NULL_POINTER,
        "null value in Int64List struct");
  }

  static bool Deserialize(::chromeos::machine_learning::mojom::internal::Int64List_Data* input,
                          UserType* output,
                          Message* message) {
    if (!input)
      return CallSetToNullIfExists<Traits>(output);

    ::chromeos::machine_learning::mojom::Int64ListDataView data_view(input, message);
    return Traits::Read(data_view, output);
  }
};

}  // namespace internal


namespace internal {

template <typename MaybeConstUserType>
struct Serializer<::chromeos::machine_learning::mojom::TensorDataView, MaybeConstUserType> {
  using UserType = typename std::remove_const<MaybeConstUserType>::type;
  using Traits = StructTraits<::chromeos::machine_learning::mojom::TensorDataView, UserType>;

  static void Serialize(
      MaybeConstUserType& input,
      mojo::internal::MessageFragment<::chromeos::machine_learning::mojom::internal::Tensor_Data>& fragment) {
    if (CallIsNullIfExists<Traits>(input))
      return;
    fragment.Allocate();
    decltype(Traits::data(input)) in_data = Traits::data(input);
    mojo::internal::MessageFragment<decltype(fragment->data)>
        data_fragment(fragment.message());
    data_fragment.Claim(&fragment->data);
    mojo::internal::Serialize<::chromeos::machine_learning::mojom::ValueListDataView>(
        in_data, data_fragment, true);
    MOJO_INTERNAL_DLOG_SERIALIZATION_WARNING(
        fragment->data.is_null(),
        mojo::internal::VALIDATION_ERROR_UNEXPECTED_NULL_POINTER,
        "null data in Tensor struct");
    decltype(Traits::shape(input)) in_shape = Traits::shape(input);
    mojo::internal::MessageFragment<
        typename decltype(fragment->shape)::BaseType> shape_fragment(
            fragment.message());
    mojo::internal::Serialize<::chromeos::machine_learning::mojom::Int64ListDataView>(
        in_shape, shape_fragment);
    fragment->shape.Set(
        shape_fragment.is_null() ? nullptr : shape_fragment.data());
    MOJO_INTERNAL_DLOG_SERIALIZATION_WARNING(
        fragment->shape.is_null(),
        mojo::internal::VALIDATION_ERROR_UNEXPECTED_NULL_POINTER,
        "null shape in Tensor struct");
  }

  static bool Deserialize(::chromeos::machine_learning::mojom::internal::Tensor_Data* input,
                          UserType* output,
                          Message* message) {
    if (!input)
      return CallSetToNullIfExists<Traits>(output);

    ::chromeos::machine_learning::mojom::TensorDataView data_view(input, message);
    return Traits::Read(data_view, output);
  }
};

}  // namespace internal


namespace internal {

template <typename MaybeConstUserType>
struct Serializer<::chromeos::machine_learning::mojom::ValueListDataView, MaybeConstUserType> {
  using UserType = typename std::remove_const<MaybeConstUserType>::type;
  using Traits = UnionTraits<::chromeos::machine_learning::mojom::ValueListDataView, UserType>;

  static void Serialize(MaybeConstUserType& input,
                        MessageFragment<::chromeos::machine_learning::mojom::internal::ValueList_Data>& fragment,
                        bool inlined) {
    if (CallIsNullIfExists<Traits>(input)) {
       if (inlined)
        fragment->set_null();
      return;
    }

    if (!inlined)
      fragment.Allocate();

    // TODO(azani): Handle unknown and objects.
    // Set the not-null flag.
    fragment->size = kUnionDataSize;
    fragment->tag = Traits::GetTag(input);
    switch (fragment->tag) {
      case ::chromeos::machine_learning::mojom::ValueListDataView::Tag::kStringList: {
        decltype(Traits::string_list(input))
            in_string_list = Traits::string_list(input);
        mojo::internal::MessageFragment<
            typename decltype(fragment->data.f_string_list)::BaseType>
            value_fragment(fragment.message());
        mojo::internal::Serialize<::chromeos::machine_learning::mojom::StringListDataView>(
            in_string_list, value_fragment);
        MOJO_INTERNAL_DLOG_SERIALIZATION_WARNING(
            value_fragment.is_null(),
            mojo::internal::VALIDATION_ERROR_UNEXPECTED_NULL_POINTER,
            "null string_list in ValueList union");
        fragment->data.f_string_list.Set(
            value_fragment.is_null() ? nullptr : value_fragment.data());
        break;
      }
      case ::chromeos::machine_learning::mojom::ValueListDataView::Tag::kFloatList: {
        decltype(Traits::float_list(input))
            in_float_list = Traits::float_list(input);
        mojo::internal::MessageFragment<
            typename decltype(fragment->data.f_float_list)::BaseType>
            value_fragment(fragment.message());
        mojo::internal::Serialize<::chromeos::machine_learning::mojom::FloatListDataView>(
            in_float_list, value_fragment);
        MOJO_INTERNAL_DLOG_SERIALIZATION_WARNING(
            value_fragment.is_null(),
            mojo::internal::VALIDATION_ERROR_UNEXPECTED_NULL_POINTER,
            "null float_list in ValueList union");
        fragment->data.f_float_list.Set(
            value_fragment.is_null() ? nullptr : value_fragment.data());
        break;
      }
      case ::chromeos::machine_learning::mojom::ValueListDataView::Tag::kInt64List: {
        decltype(Traits::int64_list(input))
            in_int64_list = Traits::int64_list(input);
        mojo::internal::MessageFragment<
            typename decltype(fragment->data.f_int64_list)::BaseType>
            value_fragment(fragment.message());
        mojo::internal::Serialize<::chromeos::machine_learning::mojom::Int64ListDataView>(
            in_int64_list, value_fragment);
        MOJO_INTERNAL_DLOG_SERIALIZATION_WARNING(
            value_fragment.is_null(),
            mojo::internal::VALIDATION_ERROR_UNEXPECTED_NULL_POINTER,
            "null int64_list in ValueList union");
        fragment->data.f_int64_list.Set(
            value_fragment.is_null() ? nullptr : value_fragment.data());
        break;
      }
    }
  }

  static bool Deserialize(::chromeos::machine_learning::mojom::internal::ValueList_Data* input,
                          UserType* output,
                          Message* message) {
    if (!input || input->is_null())
      return CallSetToNullIfExists<Traits>(output);

    ::chromeos::machine_learning::mojom::ValueListDataView data_view(input, message);
    return Traits::Read(data_view, output);
  }
};

}  // namespace internal

}  // namespace mojo


namespace chromeos {
namespace machine_learning {
namespace mojom {

inline void StringListDataView::GetValueDataView(
    mojo::ArrayDataView<mojo::StringDataView>* output) {
  auto pointer = data_->value.Get();
  *output = mojo::ArrayDataView<mojo::StringDataView>(pointer, message_);
}


inline void FloatListDataView::GetValueDataView(
    mojo::ArrayDataView<double>* output) {
  auto pointer = data_->value.Get();
  *output = mojo::ArrayDataView<double>(pointer, message_);
}


inline void Int64ListDataView::GetValueDataView(
    mojo::ArrayDataView<int64_t>* output) {
  auto pointer = data_->value.Get();
  *output = mojo::ArrayDataView<int64_t>(pointer, message_);
}


inline void TensorDataView::GetDataDataView(
    ValueListDataView* output) {
  auto pointer = &data_->data;
  *output = ValueListDataView(pointer, message_);
}
inline void TensorDataView::GetShapeDataView(
    Int64ListDataView* output) {
  auto pointer = data_->shape.Get();
  *output = Int64ListDataView(pointer, message_);
}


inline void ValueListDataView::GetStringListDataView(
    StringListDataView* output) const {
  CHECK(is_string_list());
  *output = StringListDataView(data_->data.f_string_list.Get(), message_);
}
inline void ValueListDataView::GetFloatListDataView(
    FloatListDataView* output) const {
  CHECK(is_float_list());
  *output = FloatListDataView(data_->data.f_float_list.Get(), message_);
}
inline void ValueListDataView::GetInt64ListDataView(
    Int64ListDataView* output) const {
  CHECK(is_int64_list());
  *output = Int64ListDataView(data_->data.f_int64_list.Get(), message_);
}


}  // namespace mojom
}  // namespace machine_learning
}  // namespace chromeos

// Declare TraceFormatTraits for enums, which should be defined in ::perfetto
// namespace.

#endif  // CHROMEOS_SERVICES_MACHINE_LEARNING_PUBLIC_MOJOM_TENSOR_MOJOM_SHARED_H_

/* Metadata comment
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*/